| A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | AA | AB | AC | AD | AE | |
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2 | 99 | Fri, 02 Jun 2017 16:24:43 +0000 | 99 | Data Visualization at Capital One with Kim Rees and Steph Hay | Chat | 2 | F | 0:49:35 | http://datastori.es/99-data-visualization-at-capital-one-with-kim-rees-and-steph-hay/ | http://datastori.es/podlove/file/4032/s/feed/c/podcast/99-data-visualization-at-capital-one-with-kim-rees-and-steph-hay.m4a | 00:00:04.867: Our sponsor: Qlik | 00:00:49.810: Welcome back to Data Stories! | 00:01:52.113: Call us! We need your help with Episode 100! | 00:02:20.997: Introducing our guests Kim Rees and Steph Hay from Capital One | 00:03:37.384: Welcome Kim Rees: | 00:04:37.497: Welcome Steph Hay: | 00:07:28.314: How Kim came to join Capital One | 00:11:42.874: Imagining Kim's future role | 00:17:40.811: How to scale Kim's work to a company of 40,000 people | 00:37:27.565: The importance of working for the right company | 00:40:56.958: Advice for data viz practitioners interested in working for a company | 00:46:06.630: Closing | 00:47:41.774: Get in touch & back us on Patreon | 00:49:11.512: Our sponsor: Qlik | | 14 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/4031/s/download/c/buttonlist/99-data-visualization-at-capital-one-with-kim-rees-and-steph-hay.mp3">MP3 Audio<span class="size">45 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/4032/s/download/c/buttonlist/99-data-visualization-at-capital-one-with-kim-rees-and-steph-hay.m4a">MPEG-4 AAC Audio<span class="size">35 MB</span></a> </li> </ul><div style="clear: both"></div><p><img data-attachment-id="2550" data-permalink="http://datastori.es/99-data-visualization-at-capital-one-with-kim-rees-and-steph-hay/kim-steph/" data-orig-file="http://datastori.es/wp-content/uploads/2017/05/kim-steph.jpg" data-orig-size="1280,1281" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="kim-steph" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2017/05/kim-steph-300x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2017/05/kim-steph-1024x1024.jpg" class="alignleft size-thumbnail wp-image-2550" src="http://datastori.es/wp-content/uploads/2017/05/kim-steph-150x150.jpg" alt="" width="150" height="150" srcset="http://datastori.es/wp-content/uploads/2017/05/kim-steph-150x150.jpg 150w, http://datastori.es/wp-content/uploads/2017/05/kim-steph-300x300.jpg 300w, http://datastori.es/wp-content/uploads/2017/05/kim-steph-768x769.jpg 768w, http://datastori.es/wp-content/uploads/2017/05/kim-steph-1024x1024.jpg 1024w, http://datastori.es/wp-content/uploads/2017/05/kim-steph.jpg 1280w" sizes="(max-width: 150px) 100vw, 150px" />In this episode we are joined by <a href="https://www.linkedin.com/in/kimrees/">Kim Rees</a> and <a href="http://www.stephaniehay.com/">Steph Hay</a> of Capital One. You may have heard the big news that Capital One recently decided to hire Kim Rees (formerly of <a href="http://www.periscopic.com/">Periscopic</a>) as their Head of Data Visualization.</p><p>It’s great to see such a big company hire a high caliber data viz professional like Kim and create a position with this name. Things seems to be moving in the right direction for viz after all!</p><p>Curious about what this news might mean for the industry, we invited Kim and her new boss Steph — Head of Content, Culture, and AI Design at Capital One — to learn about their plans.</p><p>This episode is a nice counterpoint to the <a href="http://datastori.es/95-challenges-of-being-a-vis-professional-in-industry-with-elijah-meeks/">episode we recently recorded with Elijah Meeks</a>, which centered on the issues that data visualization professionals are facing in the industry.</p><p>Now, with Kim and Steph we talk about the decision to create this position, the value Capital One sees in visualization, and how they plan to scale visualization to a company of 40,000 employees.</p><p>Enjoy the show!</p><hr /><p><i><span lang="EN-US">Data Stories is brought to you by Qlik. Are you missing out on meaningful relationships hidden in your data? Unlock the whole story with Qlik Sense through personalized visualizations and dynamic dashboards which you can download for free at <a href="http://qlik.de/datastories">qlik.de/datastories</a></span></i>.</p><hr /><p><strong>Links</strong></p><ul><li><span style="font-weight: 400;">Kim Rees: </span><a href="https://www.linkedin.com/in/kimrees/"><span style="font-weight: 400;">https://www.linkedin.com/in/kimrees/</span></a></li><li>Steph Hay: <a href="http://www.stephaniehay.com/">http://www.stephaniehay.com/</a></li><li>“<a href="http://www.periscopic.com/news/new-direction-for-kim">New directions for Kim</a>“</li><li><span style="font-weight: 400;">“</span><a href="https://medium.com/@krees/a-new-adventure-39f3cb69c742"><span style="font-weight: 400;">A Grand New Adventure</span></a><span style="font-weight: 400;">”</span></li><li><span style="font-weight: 400;">“</span><a href="https://medium.com/capitalonedesign/launching-data-visualization-at-capital-one-53fa763a8f64"><span style="font-weight: 400;">Launching Data Visualization at Capital One</span></a><span style="font-weight: 400;">”</span></li></ul><div style="width: 960px;" class="wp-video"><!--[if lt IE 9]><script>document.createElement('video');</script><![endif]--><video class="wp-video-shortcode" id="video-2546-1" width="960" height="720" preload="metadata" controls="controls"><source type="video/mp4" src="http://datastori.es/wp-content/uploads/2017/05/kim-capital-one-promo.m4v?_=1" /><a href="http://datastori.es/wp-content/uploads/2017/05/kim-capital-one-promo.m4v">http://datastori.es/wp-content/uploads/2017/05/kim-capital-one-promo.m4v</a></video></div><hr /><p>[Help us fund Data Stories by donating on<a href="https://www.patreon.com/datastories"> Patreon</a>! We’re counting on you to switch to a crowdfunding model. Please visit our <a href="http://www.patreon.com/datastories">Patreon page</a> for more details!]</p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/data-stories-21-visualization-save-the-world/">21 | Can visualization save the world? With Kim Rees and Jake Porway</a> </li> <li> <a href="http://datastori.es/95-challenges-of-being-a-vis-professional-in-industry-with-elijah-meeks/">95 | Challenges of Being a Vis Professional in Industry with Elijah Meeks</a> </li> </ul>"" | |||||||||||||||||||
3 | 98 | Wed, 17 May 2017 19:38:13 +0000 | 98 | Data Sketches with Nadieh Bremer and Shirley Wu | Project | 2 | F | 0:43:30 | http://datastori.es/98-data-sketches-with-nadieh-bremer-and-shirley-wu/ | http://datastori.es/podlove/file/3958/s/feed/c/podcast/98-data-sketches-with-nadieh-bremer-and-shirley-wu.m4a | 00:00:09.609: Our sponsor: Qlick | 00:00:52.027: Welcome back to Data Stories! | 00:01:16.688: Episode 100 is coming - leave us a voice message! | 00:02:10.121: Introducing our guests: Shirley Wu & Nadieh Bremer | 00:02:40.607: Nadieh Bremer | 00:03:26.808: Shirley Wu | 00:05:06.989: Their project: Data Sketches | 00:07:09.204: Organizational structure of the project | 00:11:21.916: Overview of types of viz projects | 00:17:04.420: Data viz in pop culture | 00:21:15.989: How is your design process? Sketching by hand vs. with code | 00:25:18.618: Are you inspired by other projects? | 00:26:55.537: How is working in a team affect your motivation? | 00:30:17.539: Balancing of paid and leisure projects | 00:32:57.924: How does the project affect your freelancing work? | 00:35:25.881: Your take on the "vis crisis"? | 00:38:41.658: What's next for you after Datasketches? | 00:41:39.331: Get in touch & back us on Patreon | 00:43:09.079: Our sponsor: Qlick | | 19 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/3962/s/download/c/buttonlist/98-data-sketches-with-nadieh-bremer-and-shirley-wu.mp3">MP3 Audio<span class="size">40 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/3958/s/download/c/buttonlist/98-data-sketches-with-nadieh-bremer-and-shirley-wu.m4a">MPEG-4 AAC Audio<span class="size">31 MB</span></a> </li> </ul><div style="clear: both"></div><p><img data-attachment-id="2529" data-permalink="http://datastori.es/98-data-sketches-with-nadieh-bremer-and-shirley-wu/nadieh-shirley-crop/" data-orig-file="http://datastori.es/wp-content/uploads/2017/05/nadieh-shirley-crop.jpg" data-orig-size="900,891" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="nadieh-shirley-crop" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2017/05/nadieh-shirley-crop-300x297.jpg" data-large-file="http://datastori.es/wp-content/uploads/2017/05/nadieh-shirley-crop.jpg" class="alignleft size-thumbnail wp-image-2529" src="http://datastori.es/wp-content/uploads/2017/05/nadieh-shirley-crop-150x150.jpg" alt="" width="150" height="150" srcset="http://datastori.es/wp-content/uploads/2017/05/nadieh-shirley-crop-150x150.jpg 150w, http://datastori.es/wp-content/uploads/2017/05/nadieh-shirley-crop-300x297.jpg 300w, http://datastori.es/wp-content/uploads/2017/05/nadieh-shirley-crop.jpg 900w" sizes="(max-width: 150px) 100vw, 150px" />In this episode Moritz meets <a href="https://www.visualcinnamon.com">Nadieh Bremer</a> and <a href="http://sxywu.com">Shirley Wu</a> for a face-to-face episode in Berlin.</p><p>Nadieh and Shirley recently paired up to create <a href="http://www.datasketch.es">Data Sketches</a>, a twelve-month collaboration. Each month they choose a topic and develop a visualization on their theme.</p><p>One nice aspect of the project is that they keep track of their entire development process, including the steps they followed to prepare the data, sketch the ideas, and create the final visualizations.</p><p>On the show we talk about the organization of the projects, some favorite visualizations from the year, the partnership between the collaborators, and how they balance Data Sketches with their freelancing work.</p><div style="width: 960px;" class="wp-video"><video class="wp-video-shortcode" id="video-2517-2" width="960" height="720" preload="metadata" controls="controls"><source type="video/mp4" src="http://datastori.es/wp-content/uploads/2017/05/data-sketches-promo.m4v?_=2" /><a href="http://datastori.es/wp-content/uploads/2017/05/data-sketches-promo.m4v">http://datastori.es/wp-content/uploads/2017/05/data-sketches-promo.m4v</a></video></div><hr /><p><em>We’re collecting listener questions, ideas, and suggestions about Data Stories for our upcoming 100th episode. Leave us a message at +1-413-650-2713 and we may just feature your voice in the podcast!</em></p><hr /><p><i><span lang="EN-US">Data Stories is brought to you by Qlik. Are you missing out on meaningful relationships hidden in your data? Unlock the whole story with Qlik Sense through personalized visualizations and dynamic dashboards which you can download for free at <a href="http://qlik.de/datastories">qlik.de/datastories</a></span></i>.</p><hr /><p><em>Help us fund Data Stories by donating on<a href="https://www.patreon.com/datastories"> Patreon</a>! We’re counting on you to switch to a crowdfunding model. Please visit our <a href="http://www.patreon.com/datastories">Patreon page</a> for more details!</em></p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/dear-data-with-giorgia-lupi-and-stefanie-posavec-ds64/">64 | "Dear Data" with Giorgia Lupi and Stefanie Posavec</a> </li> <li> <a href="http://datastori.es/83-olympic-feathers-with-nadieh-bremer/">83 | Olympic Feathers with Nadieh Bremer</a> </li> </ul>"" | |||||||||||||||||||
4 | 97 | Tue, 02 May 2017 19:13:59 +0000 | 97 | Calling Bullshit with Carl Bergstrom and Jevin West | Chat | 2 | M | 0:42:17 | http://datastori.es/97-calling-bullshit-with-carl-bergstrom-and-jevin-west/ | http://datastori.es/podlove/file/3894/s/feed/c/podcast/97-calling-bullshit-with-carl-bergstrom-and-jevin-west.m4a | 00:00:06.063: Our sponsor: Qlik | 00:00:49.226: Welcome back to Data Stories! | 00:01:17.325: Introducing our guests Carl Bergstrom and Jevin West | 00:03:51.651: Today's topic: Calling Bullshit | 00:07:53.914: Calling bullshit in languages around the world | 00:09:59.911: Is bullshit different from lying? | 00:13:12.714: Sustainable bullshitting: teaching students to be bullshit neutral | 00:14:21.257: Bullshit in data visualization | 00:16:37.517: Tips for detecting bullshit | 00:20:13.699: Bullshit case study 1: Information that's unnecessarily complex | 00:22:16.431: Bullshit case study 2: Publication bias | 00:25:11.511: Bullshit case study 3: Bullshitting ourselves | 00:26:31.235: Example of major bullshit: Pizzagate | 00:28:53.022: Strategies to call bullshit properly | 00:30:53.663: How to call bullshit ethically | 00:37:58.686: Have ideas about bullshit? Get in touch with Carl and Jevin! | 00:38:59.405: And check out Carl and Jevin's website and videos on bullshit! | 00:40:23.221: Get in touch & back us on Patreon | 00:41:52.970: Our sponsor: Qlik | | 19 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/3895/s/download/c/buttonlist/97-calling-bullshit-with-carl-bergstrom-and-jevin-west.mp3">MP3 Audio<span class="size">39 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/3894/s/download/c/buttonlist/97-calling-bullshit-with-carl-bergstrom-and-jevin-west.m4a">MPEG-4 AAC Audio<span class="size">30 MB</span></a> </li> </ul><div style="clear: both"></div><p><img data-attachment-id="2495" data-permalink="http://datastori.es/97-calling-bullshit-with-carl-bergstrom-and-jevin-west/calling_bs_bergstrom_west/" data-orig-file="http://datastori.es/wp-content/uploads/2017/04/calling_bs_bergstrom_west.jpg" data-orig-size="789,789" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="calling_bs_bergstrom_west" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2017/04/calling_bs_bergstrom_west-300x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2017/04/calling_bs_bergstrom_west.jpg" class="alignleft size-thumbnail wp-image-2495" src="http://datastori.es/wp-content/uploads/2017/04/calling_bs_bergstrom_west-150x150.jpg" alt="" width="150" height="150" srcset="http://datastori.es/wp-content/uploads/2017/04/calling_bs_bergstrom_west-150x150.jpg 150w, http://datastori.es/wp-content/uploads/2017/04/calling_bs_bergstrom_west-300x300.jpg 300w, http://datastori.es/wp-content/uploads/2017/04/calling_bs_bergstrom_west-768x768.jpg 768w, http://datastori.es/wp-content/uploads/2017/04/calling_bs_bergstrom_west.jpg 789w" sizes="(max-width: 150px) 100vw, 150px" />In this episode we have <a href="http://octavia.zoology.washington.edu/">Carl Bergstrom</a> and <a href="http://www.jevinwest.org/">Jevin West</a>, two professors at the University of Washington, who talk about a fantastic new course they have designed called “<a href="http://callingbullshit.org/">Calling Bullshit</a>“. The course aims to teach students what bullshit is, how to spot it, and how to deal with it. Needless to say, it’s timely. It’s also gotten a lot of attention lately.</p><p>Of course there are plenty of bullshit examples in data analysis and visualization. Carl and Jevin discuss many of them in their course.</p><p>On the show we talk about how they developed the course, what bullshit actually is and what distinguishes it from other types of misinformation, how to recognize examples of bullshit, and how to ‘call bullshit’ in an ethical way.</p><p><span style="font-size: 2rem;">Enjoy this “bullshitty” episode! <img src="https://s.w.org/images/core/emoji/2.2.1/72x72/1f642.png" alt="🙂" class="wp-smiley" style="height: 1em; max-height: 1em;" /></span></p><hr /><p><i><span lang="EN-US">Data Stories is brought to you by Qlik. Are you missing out on meaningful relationships hidden in your data? Unlock the whole story with Qlik Sense through personalized visualizations and dynamic dashboards which you can download for free at <a href="http://qlik.de/datastories">qlik.de/datastories</a></span></i>.</p><hr /><p><strong>Links</strong></p><ul><li><span style="font-weight: 400;">Course home page: </span><a href="http://callingbullshit.org"><span style="font-weight: 400;">http://callingbullshit.org</span></a></li><li><a href="https://www.youtube.com/watch?v=A2OtU5vlR0k&feature=youtu.be&list=PLPnZfvKID1Sje5jWxt-4CSZD7bUI4gSPS"><span style="font-weight: 400;">Video</span></a><span style="font-weight: 400;"> series of the course</span></li><li><a href="http://octavia.zoology.washington.edu/"><span style="font-weight: 400;">Carl Bergstrom</span></a></li><li><a href="http://www.jevinwest.org/"><span style="font-weight: 400;">Jevin West</span></a></li><li><span style="font-weight: 400;">Feynman </span><span style="font-weight: 400;"><a href="https://www.brainyquote.com/quotes/quotes/r/richardpf137642.html">on “not fooling yourself</a>“</span></li><li><span style="font-weight: 400;">Harry Frankfurt’s <a href="https://www.stoa.org.uk/topics/bullshit/pdf/on-bullshit.pdf">definition of bullshit</a></span></li><li><span style="font-weight: 400;">Two case studies of bullshit: <a href="http://callingbullshit.org/case_studies/case_study_caffeine_free.html">Caffeine Free</a> and <a href="http://callingbullshit.org/case_studies/case_study_foodstamp_fraud.html">Foodstamp Fraud</a></span></li><li><a href="http://www.inf.fu-berlin.de/lehre/pmo/eng/Sagan-Baloney.pdf"><span style="font-weight: 400;">The Fine Art of Baloney Detection</span></a></li><li><a href="http://www.factcheck.org/2016/11/how-to-spot-fake-news/"><span style="font-weight: 400;">How to Spot Fake News</span></a></li><li><a href="http://ordrespontane.blogspot.de/2014/07/brandolinis-law.html"><span style="font-weight: 400;">Brandolini’s Bullshit Asymmetry Principle</span></a></li></ul><div style="width: 960px;" class="wp-video"><video class="wp-video-shortcode" id="video-2493-3" width="960" height="720" preload="metadata" controls="controls"><source type="video/mp4" src="http://datastori.es/wp-content/uploads/2017/05/bullshit-promo.m4v?_=3" /><a href="http://datastori.es/wp-content/uploads/2017/05/bullshit-promo.m4v">http://datastori.es/wp-content/uploads/2017/05/bullshit-promo.m4v</a></video></div><hr /><p><em>Help us fund Data Stories by donating on<a href="https://www.patreon.com/datastories"> Patreon</a>! We’re counting on you to switch to a crowdfunding model. Please visit our <a href="http://www.patreon.com/datastories">Patreon page</a> for more details!</em></p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/data-stories-27-big-data-skepticism-w-kate-crawford/">27 | Big Data Skepticism w/ Kate Crawford</a> </li> <li> <a href="http://datastori.es/data-stories-55-disinformation-visualization-w-mushon-zer-aviv/">55 | Disinformation Visualization w/ Mushon Zer-Aviv</a> </li> <li> <a href="http://datastori.es/74-data-ethics-and-privacy-with-eleanor-saitta/">74 | Data Ethics and Privacy with Eleanor Saitta</a> </li> <li> <a href="http://datastori.es/85-machine-bias-with-jeff-larson/">85 | Machine Bias with Jeff Larson</a> </li> <li> <a href="http://datastori.es/94-uncertainty-and-trumpery-with-alberto-cairo/">94 | Uncertainty and Trumpery with Alberto Cairo</a> </li> </ul>"" | |||||||||||||||||||
5 | 96 | Thu, 20 Apr 2017 12:07:45 +0000 | 96 | Innovation from Research with Jarke Van Wijk | Chat | 1 | M | 0:57:09 | http://datastori.es/96-innovation-from-research-with-jarke-van-wijk/ | http://datastori.es/podlove/file/3830/s/feed/c/podcast/96-innovation-from-research-with-jarke-van-wijk.m4a | 00:00:11.011: Our sponsor: Qlik | 00:00:53.453: How should we celebrate our 100th episode? | 00:01:27.364: Welcoming Jarke Van Wijk to the show | 00:04:53.507: Jarke on building cool things | 00:13:10.861: Jarke's innovations in network analysis and edge bundling | 00:17:22.062: Jarke's innovations in tree maps | 00:27:31.530: Are there everyday cases for visual analytics? | 00:31:37.489: A challenge of viz: the design space is so big | 00:42:15.178: Jarke's artistic work: Myriahedral Projections | 00:50:07.558: Jarke on the value of math in visualization | 00:54:55.131: Check out more of Jarke's work! | 00:55:18.074: Get in touch & back us on Patreon | 00:56:47.809: Our sponsor: Qlik | | 13 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/3832/s/download/c/buttonlist/96-innovation-from-research-with-jarke-van-wijk.mp3">MP3 Audio<span class="size">52 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/3830/s/download/c/buttonlist/96-innovation-from-research-with-jarke-van-wijk.m4a">MPEG-4 AAC Audio<span class="size">41 MB</span></a> </li> </ul><div style="clear: both"></div><p><img data-attachment-id="2472" data-permalink="http://datastori.es/96-innovation-from-research-with-jarke-van-wijk/jack-van-wijk/" data-orig-file="http://datastori.es/wp-content/uploads/2017/04/BvOF-2015_1106_EO-Jack-van-Wijk_cropped.jpg" data-orig-size="1749,1749" data-comments-opened="0" data-image-meta="{"aperture":"3.5","credit":"foto: Bart van Overbeeke","camera":"NIKON D750","caption":"prof. Jack van Wijk, leerstoel Visualisatie, Algorithms and Visualization, Wiskunde & Informatica TU Eindhoven","created_timestamp":"1446819486","copyright":"\u00a9 Bart van Overbeeke, 2015","focal_length":"160","iso":"250","shutter_speed":"0.002","title":"Jack van Wijk","orientation":"1"}" data-image-title="Jack van Wijk" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2017/04/BvOF-2015_1106_EO-Jack-van-Wijk_cropped-300x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2017/04/BvOF-2015_1106_EO-Jack-van-Wijk_cropped-1024x1024.jpg" class="size-thumbnail wp-image-2472 alignleft" src="http://datastori.es/wp-content/uploads/2017/04/BvOF-2015_1106_EO-Jack-van-Wijk_cropped-150x150.jpg" alt="" width="150" height="150" srcset="http://datastori.es/wp-content/uploads/2017/04/BvOF-2015_1106_EO-Jack-van-Wijk_cropped-150x150.jpg 150w, http://datastori.es/wp-content/uploads/2017/04/BvOF-2015_1106_EO-Jack-van-Wijk_cropped-300x300.jpg 300w, http://datastori.es/wp-content/uploads/2017/04/BvOF-2015_1106_EO-Jack-van-Wijk_cropped-768x768.jpg 768w, http://datastori.es/wp-content/uploads/2017/04/BvOF-2015_1106_EO-Jack-van-Wijk_cropped-1024x1024.jpg 1024w" sizes="(max-width: 150px) 100vw, 150px" /></p><p>We have <a href="http://www.win.tue.nl/~vanwijk/">Jarke Van Wijk</a> on the show this week. Jarke is a professor of visualization in the Department of Mathematics and Computer Science at Eindhoven University of Technology and an important historical figure (shall we say legend?) in visualization research.</p><p>Many amazing innovative techniques have been developed in his lab, including the widely adopted <em>squarified treemaps </em>(treemaps optimized to use rectangles as close as possible to squares)<em> </em>and <em>hierarchical edge bundling </em>(a technique to bundle the links of a graph together).</p><p>In this episode we hear the stories behind many of the innovations developed by Jarke and his group. Jarke also speaks to us about how to make cool stuff; the relationship between design, engineering and research; and artistry in visualization.</p><p>Enjoy the show!</p><hr /><p><i><span lang="EN-US">Data Stories is brought to you by Qlik. Are you missing out on meaningful relationships hidden in your data? Unlock the whole story with Qlik Sense through personalized visualizations and dynamic dashboards which you can download for free at <a href="http://qlik.de/datastories">qlik.de/datastories</a></span></i>.</p><hr /><p><strong>Links</strong></p><ul><li style="font-weight: 400;"><a href="http://www.win.tue.nl/~vanwijk/"><span style="font-weight: 400;">Jarke Van Wijk Website</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Eagereyes guest post: </span><a href="https://eagereyes.org/influences/jarke-van-wijk"><span style="font-weight: 400;">Jarke ‘Jack’ Van Wijk’s List of Influences</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Paper: “</span><a href="http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.78.1138"><span style="font-weight: 400;">The Value of Visualization</span></a><span style="font-weight: 400;">” (2005)</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Jarke’s VIS 2013 Capstone (</span><a href="https://vimeo.com/80334651"><span style="font-weight: 400;">video</span></a><span style="font-weight: 400;">)</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Martin Wattenberg’s </span><a href="http://www.bewitched.com/marketmap.html"><span style="font-weight: 400;">Map of the Market</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Treevis.net: </span><a href="http://vcg.informatik.uni-rostock.de/~hs162/treeposter/poster.html"><span style="font-weight: 400;">A Visual Biography of Tree Visualization</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Unfolding the Earth: </span><span style="font-weight: 400;"><a href="http://www.win.tue.nl/~vanwijk/myriahedral/">Myriahedral Projections</a></span></li><li style="font-weight: 400;"><a href="https://www.youtube.com/watch?v=b1xXTi1nFCo"><span style="font-weight: 400;">YouTube video</span></a><span style="font-weight: 400;"> of Unfolding the Earth: Myriahedral Projections</span></li></ul><div style="width: 960px;" class="wp-video"><video class="wp-video-shortcode" id="video-2467-4" width="960" height="720" preload="metadata" controls="controls"><source type="video/mp4" src="http://datastori.es/wp-content/uploads/2017/04/jack-van-wijk.m4v?_=4" /><a href="http://datastori.es/wp-content/uploads/2017/04/jack-van-wijk.m4v">http://datastori.es/wp-content/uploads/2017/04/jack-van-wijk.m4v</a></video></div><p> </p><hr /><p>[Help us fund Data Stories by donating on<a href="https://www.patreon.com/datastories"> Patreon</a>! We’re counting on you to switch to a crowdfunding model. Please visit our <a href="http://www.patreon.com/datastories">Patreon page</a> for more details!]</p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/episode-9-bridging-academia-and-industry-with-danyel-fisher/">9 | Bridging academia and industry with Danyel Fisher</a> </li> <li> <a href="http://datastori.es/data-stories-29-treemaps-w-ben-shneiderman/">29 | Treemaps w/ Ben Shneiderman</a> </li> <li> <a href="http://datastori.es/data-stories-44/">44 | Tamara Munzner</a> </li> </ul>"" | |||||||||||||||||||
6 | 95 | Thu, 06 Apr 2017 15:26:25 +0000 | 95 | Challenges of Being a Vis Professional in Industry with Elijah Meeks | Chat | 1 | M | 0:53:35 | http://datastori.es/95-challenges-of-being-a-vis-professional-in-industry-with-elijah-meeks/ | http://datastori.es/podlove/file/3764/s/feed/c/podcast/95-challenges-of-being-a-dataviz-professional-in-the-industry-with-elijah-meeks.m4a | 00:00:10.027: Our sponsor: Eyeo festival 2017 | 00:01:20.461: Welcome back to Data Stories! | 00:01:43.846: Don't forget to support our Patreon account! | 00:02:12.931: Introducing Elijah Meeks | 00:04:27.228: Challenges of dataviz in industry | 00:19:24.139: Is it a problem if data viz is treated as an add-on skill? | 00:23:46.921: Is the industry actually evolving (just slowly) to support data viz? | 00:29:16.226: What should be done to fix this (supposed) problem? | 00:39:44.001: The role of data visualization professionals in growing the industry | 00:49:43.203: Working on making data visualization a real profession | 00:51:16.060: Get in touch & back us on Patreon | 00:52:45.779: Our sponsor: Eyeo festival 2017 | | 12 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/3765/s/download/c/buttonlist/95-challenges-of-being-a-dataviz-professional-in-the-industry-with-elijah-meeks.mp3">MP3 Audio<span class="size">49 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/3764/s/download/c/buttonlist/95-challenges-of-being-a-dataviz-professional-in-the-industry-with-elijah-meeks.m4a">MPEG-4 AAC Audio<span class="size">38 MB</span></a> </li> </ul><div style="clear: both"></div><p><img data-attachment-id="2438" data-permalink="http://datastori.es/95-challenges-of-being-a-vis-professional-in-industry-with-elijah-meeks/eca2kpqh-1/" data-orig-file="http://datastori.es/wp-content/uploads/2017/04/ecA2KPqH-1.jpeg" data-orig-size="533,533" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="ecA2KPqH-1" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2017/04/ecA2KPqH-1-300x300.jpeg" data-large-file="http://datastori.es/wp-content/uploads/2017/04/ecA2KPqH-1.jpeg" class="alignleft size-thumbnail wp-image-2438" src="http://datastori.es/wp-content/uploads/2017/04/ecA2KPqH-1-150x150.jpeg" alt="" width="150" height="150" srcset="http://datastori.es/wp-content/uploads/2017/04/ecA2KPqH-1-150x150.jpeg 150w, http://datastori.es/wp-content/uploads/2017/04/ecA2KPqH-1-300x300.jpeg 300w, http://datastori.es/wp-content/uploads/2017/04/ecA2KPqH-1.jpeg 533w" sizes="(max-width: 150px) 100vw, 150px" />This week, we have Elijah Meeks on the show to talk about the state of data visualization jobs in the industry.</p><p>Elijah sparked a <a href="https://medium.com/visualizing-the-field/visualizing-the-field-finding-our-way-6330d3e48555#.bhozouj41">recent debate</a> with the following <a href="https://twitter.com/elijah_meeks/status/832749442688094209">Twitter message</a>: “<em>Most people in #Datavisualization end up transitioning into data sci/eng or UI because there’s something wrong with the state of dataviz.</em>” His tweet struck an interesting chord, so we thought we would bring him on the show to hear more.</p><p>In the episode, we talk about what is going on in the data visualization field and whether there really is a problem for data visualization professionals in the industry. We also talk about the great <a href="https://medium.com/@Elijah_Meeks/2017-data-visualization-survey-results-40688830b9f2">survey</a> Elijah run on the state of the vis industry, which attracted around 1000 responses (!).</p><p>Enjoy the show!</p><hr /><p>Data Stories is brought to you by the upcoming 2017<a href="http://eyeofestival.com"> Eyeo Festival</a>. Eyeo brings together people drawn to the intersection of data, art, storytelling and creative technology. Tickets are on sale now, and almost gone. Get yours at <a href="http://eyeofestival.com">eyeofestival.com</a>. Converge to inspire.</p><hr /><p><img data-attachment-id="2441" data-permalink="http://datastori.es/95-challenges-of-being-a-vis-professional-in-industry-with-elijah-meeks/13u8091fgq9-pxnqadlpbzg/" data-orig-file="http://datastori.es/wp-content/uploads/2017/04/13u8091Fgq9-PxnqadlpbZg.png" data-orig-size="1600,450" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="1*3u8091Fgq9-PxnqadlpbZg" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2017/04/13u8091Fgq9-PxnqadlpbZg-300x84.png" data-large-file="http://datastori.es/wp-content/uploads/2017/04/13u8091Fgq9-PxnqadlpbZg-1024x288.png" class="size-large wp-image-2441 alignnone" src="http://datastori.es/wp-content/uploads/2017/04/13u8091Fgq9-PxnqadlpbZg-1024x288.png" alt="" width="960" height="270" srcset="http://datastori.es/wp-content/uploads/2017/04/13u8091Fgq9-PxnqadlpbZg-1024x288.png 1024w, http://datastori.es/wp-content/uploads/2017/04/13u8091Fgq9-PxnqadlpbZg-300x84.png 300w, http://datastori.es/wp-content/uploads/2017/04/13u8091Fgq9-PxnqadlpbZg-768x216.png 768w, http://datastori.es/wp-content/uploads/2017/04/13u8091Fgq9-PxnqadlpbZg.png 1600w" sizes="(max-width: 960px) 100vw, 960px" /></p><p><strong>Links</strong></p><ul><li><span style="font-weight: 400;">Elijah’s original</span><a href="https://twitter.com/elijah_meeks/status/832749442688094209"><span style="font-weight: 400;"> tweet</span></a></li><li><span style="font-weight: 400;">Elijah’s follow-up article “</span><a href="https://medium.com/visualizing-the-field/why-people-leave-their-data-viz-jobs-be1a7ab5dddc#.x12eyjtqa"><span style="font-weight: 400;">If Data Visualization is So Hot, Why Are People Leaving?</span></a><span style="font-weight: 400;">”</span></li><li><span style="font-weight: 400;">Collection of responses: “</span><a href="https://medium.com/visualizing-the-field/visualizing-the-field-finding-our-way-6330d3e48555#.bhozouj41"><span style="font-weight: 400;">Visualizing, The Field: Finding Our Way</span></a><span style="font-weight: 400;">”</span></li><li><span style="font-weight: 400;">Moritz’s response: “</span><a href="https://medium.com/visualizing-the-field/there-be-dragons-dataviz-in-the-industry-652e712394a0"><span style="font-weight: 400;">There be dragons: dataviz in the industry</span></a><span style="font-weight: 400;">”</span></li><li><span style="font-weight: 400;">Irene Ros’ Response: “</span><a href="https://medium.com/@ireneros/in-defense-of-simplicity-a-data-visualization-journey-86676bd05c57#.kyphoe4wt"><span style="font-weight: 400;">In Defense of Simplicity, A Data Visualization Journey</span></a><span style="font-weight: 400;">”</span></li><li><a href="https://medium.com/@Elijah_Meeks/2017-data-visualization-survey-results-40688830b9f2"><span style="font-weight: 400;">2017 Data Visualization Survey Results</span></a></li></ul><div style="width: 960px;" class="wp-video"><video class="wp-video-shortcode" id="video-2431-5" width="960" height="720" preload="metadata" controls="controls"><source type="video/mp4" src="http://datastori.es/wp-content/uploads/2017/04/elijah-meeks-promo.m4v?_=5" /><a href="http://datastori.es/wp-content/uploads/2017/04/elijah-meeks-promo.m4v">http://datastori.es/wp-content/uploads/2017/04/elijah-meeks-promo.m4v</a></video></div><hr /><p>[Help us fund Data Stories by donating on<a href="https://www.patreon.com/datastories"> Patreon</a>! We’re counting on you to switch to a crowdfunding model. Please visit our <a href="http://www.patreon.com/datastories">Patreon page</a> for more details!]</p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/72-jeff-heer/">72 | Jeff Heer on Merging Industry and Research with the Interactive Data Lab</a> </li> <li> <a href="http://datastori.es/81-the-hustle-with-mahir-yavuz-and-jan-willem-tulp/">81 | The Hustle with Mahir Yavuz and Jan Willem Tulp</a> </li> <li> <a href="http://datastori.es/99-data-visualization-at-capital-one-with-kim-rees-and-steph-hay/">99 | Data Visualization at Capital One with Kim Rees and Steph Hay</a> </li> </ul>"" | |||||||||||||||||||
7 | 94 | Tue, 21 Mar 2017 20:31:07 +0000 | 94 | Uncertainty and Trumpery with Alberto Cairo | Chat | 1 | M | 1:02:56 | http://datastori.es/94-uncertainty-and-trumpery-with-alberto-cairo/ | http://datastori.es/podlove/file/3728/s/feed/c/podcast/94-uncertainty-and-trumpery-with-alberto-cairo.m4a | 00:00:12.320: Our sponsor: Qlik | 00:00:54.738: Moritz turns 40 | 00:01:36.101: Data Cuisine Kosovo | 00:02:18.651: Don't forget our crowd-funding initiative on Patreon! | 00:03:36.004: Conference season is upon us! | 00:05:04.349: Eyeo Festival | 00:06:24.335: Welcome Alberto Cairo | 00:07:24.193: Digital Humanities & Data Journalism Symposium | 00:08:36.817: On bullshit | 00:10:49.956: Alberto on Trumpery | 00:13:58.872: Trumpery in data visualization | 00:20:56.810: The problem of partisanship and rhetoric in contemporary conversation | 00:24:18.509: Climate change: a case study of truth and trumpery | 00:25:46.502: Visualizing uncertainty and risk | 00:33:54.830: Understanding how to visualize uncertainty through a historical lens | 00:47:53.034: Combatting cognitive bias | 00:49:45.702: Invite Alberto to come to your city for his upcoming lecture series on Trumpery! | 00:54:01.564: How to expand our audiences and make our messages more persuasive | 01:00:43.634: Thank you Alberto Cairo! | 01:01:05.160: Get in touch & back us on Patreon | 01:02:38.619: Our sponsor: Qlik | | 21 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/3731/s/download/c/buttonlist/94-uncertainty-and-trumpery-with-alberto-cairo.mp3">MP3 Audio<span class="size">58 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/3728/s/download/c/buttonlist/94-uncertainty-and-trumpery-with-alberto-cairo.m4a">MPEG-4 AAC Audio<span class="size">45 MB</span></a> </li> </ul><div style="clear: both"></div><p><img data-attachment-id="2414" data-permalink="http://datastori.es/94-uncertainty-and-trumpery-with-alberto-cairo/day3048-48/" data-orig-file="http://datastori.es/wp-content/uploads/2017/03/DAY3048-48.jpg" data-orig-size="682,682" data-comments-opened="0" data-image-meta="{"aperture":"6.3","credit":"","camera":"NIKON D7000","caption":"","created_timestamp":"1397862359","copyright":"","focal_length":"19","iso":"400","shutter_speed":"0.0015625","title":"","orientation":"1"}" data-image-title="DAY3048-48" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2017/03/DAY3048-48-300x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2017/03/DAY3048-48.jpg" class="alignleft size-thumbnail wp-image-2414" src="http://datastori.es/wp-content/uploads/2017/03/DAY3048-48-150x150.jpg" alt="" width="150" height="150" srcset="http://datastori.es/wp-content/uploads/2017/03/DAY3048-48-150x150.jpg 150w, http://datastori.es/wp-content/uploads/2017/03/DAY3048-48-300x300.jpg 300w, http://datastori.es/wp-content/uploads/2017/03/DAY3048-48.jpg 682w" sizes="(max-width: 150px) 100vw, 150px" />[Hey friends, help us fund the show by donating to <a href="https://www.patreon.com/datastories">Data Stories on Patreon</a>! We’re counting on you to switch to a crowdfunding model. Please visit our Patreon page for more details: <a href="https://www.patreon.com/datastories">https://www.patreon.com/datastories</a>.]</p><p>In this episode, we have <a href="http://albertocairo.com/">Alberto Cairo</a> from the University of Miami on the show to talk about his newly announced lecture series on “Trumpery” and uncertainty.</p><p>Visualization and statistics promise to help people think and behave more rationally, but as we all know there is much more to fulfilling this promise than just showing “the right” graph.</p><p>With Alberto we touch upon many topics including partisanship and rhetoric, visualizing uncertainty and risk, and cognitive biases.</p><p>There is of course always much more to say on these topics, but this is a good start!</p><p>Enjoy the show.</p><hr /><p><i><span lang="EN-US">Data Stories is brought to you by Qlik. Are you missing out on meaningful relationships hidden in your data? Unlock the whole story with Qlik Sense through personalized visualizations and dynamic dashboards which you can download for free at <a href="http://qlik.de/datastories">qlik.de/datastories</a></span></i>.</p><hr /><p><strong>Links</strong></p><ul><li><span style="font-weight: 400;">*** Donate to our crowd-funding initiative on Patreon!<br /></span><span style="font-weight: 400;"><a href="https://www.patreon.com/datastories">https://www.patreon.com/datastories</a> ***</span></li><li><a href="http://data-cuisine.net/workshops/kosovo/"><span style="font-weight: 400;">Data Cuisine Kosovo</span></a></li><li><a href="http://eyeofestival.com"><span style="font-weight: 400;">Eyeo Festival</span></a></li><li><a href="http://dhdj.com.miami.edu/ "><span style="font-weight: 400;">Digital Humanities & Data Journalism Symposium</span></a></li><li><span style="font-weight: 400;">The term “</span><a href="https://www.merriam-webster.com/dictionary/trumpery"><span style="font-weight: 400;">Trumpery</span></a><span style="font-weight: 400;">”</span></li><li><span style="font-weight: 400;">Frankfurt’s </span><a href="https://www.stoa.org.uk/topics/bullshit/pdf/on-bullshit.pdf"><span style="font-weight: 400;">On Bullshit</span></a></li><li><a href="http://callingbullshit.org/syllabus.html"><span style="font-weight: 400;">Course: Calling Bullshit in the Age of Big Data</span></a></li><li><a href="http://faculty.washington.edu/jhullman/research.html"><span style="font-weight: 400;">Jessica Hullman</span></a></li><li><span style="font-weight: 400;">Paper: </span><a href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0142444"><span style="font-weight: 400;">Hypothetical Outcome Plots Outperform Error Bars and Violin Plots for Inferences about Reliability of Variable Ordering</span></a></li><li><span style="font-weight: 400;">Book: </span><a href="https://www.amazon.com/Naked-Statistics-Stripping-Dread-Data/dp/1480590185"><i><span style="font-weight: 400;">Naked Statistics</span></i></a></li><li><span style="font-weight: 400;">Book: </span><a href="https://www.amazon.com/Understanding-New-Statistics-Meta-Analysis-Multivariate/dp/041587968X"><span style="font-weight: 400;">Geoff Cumming’s </span><i><span style="font-weight: 400;">Understanding The New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis (Multivariate Applications Series)</span></i></a></li><li><span style="font-weight: 400;">Book: </span><a href="https://www.amazon.com/Knowledge-Illusion-Never-Think-Alone/dp/039918435X"><span style="font-weight: 400;">Steven Sloman and Philip Fernbach’s </span><i><span style="font-weight: 400;">The Knowledge Illusion: Why We Never Think Alone</span></i></a></li></ul><hr /><div style="width: 960px;" class="wp-video"><video class="wp-video-shortcode" id="video-2412-6" width="960" height="720" preload="metadata" controls="controls"><source type="video/mp4" src="http://datastori.es/wp-content/uploads/2017/03/cairo-promo.m4v?_=6" /><a href="http://datastori.es/wp-content/uploads/2017/03/cairo-promo.m4v">http://datastori.es/wp-content/uploads/2017/03/cairo-promo.m4v</a></video></div> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/data-stories-35-visual-storytelling-w-alberto-cairo-and-robert-kosara/">35 | Visual Storytelling w/ Alberto Cairo and Robert Kosara</a> </li> <li> <a href="http://datastori.es/data-stories-55-disinformation-visualization-w-mushon-zer-aviv/">55 | Disinformation Visualization w/ Mushon Zer-Aviv</a> </li> <li> <a href="http://datastori.es/97-calling-bullshit-with-carl-bergstrom-and-jevin-west/">97 | Calling Bullshit with Carl Bergstrom and Jevin West</a> </li> </ul>"" | |||||||||||||||||||
8 | 93 | Fri, 10 Mar 2017 03:55:40 +0000 | 93 | OddityViz with Valentina D’Efilippo and Miriam Quick | Project | 2 | F | 0:40:32 | http://datastori.es/93-oddityviz-with-valentina-defilippo-and-miriam-quick/ | http://datastori.es/podlove/file/3609/s/feed/c/podcast/92-oddityviz-with-valentina-defilippo-and-miriam-quick.m4a | 00:00:15.549: Our sponsor: Qlik | 00:01:00.625: Hello from Moritz and Enrico! | 00:01:28.039: Welcome to our guests from OddityViz | 00:01:55.057: Introducing Miriam Quick | 00:03:16.398: Introducing Valentina D'Efilippo | 00:05:03.522: Their OddityViz project | 00:07:02.584: Exhibiting at Wieden+Kennedy | 00:08:24.726: The initial impetus for the project | 00:12:02.744: The design process | 00:17:56.150: How to generate the data? | 00:19:35.364: Tools for sonic visualization | 00:22:35.392: The last record: gathering data from people | 00:26:59.343: Deciding on the format for presentation | 00:32:29.211: Surprises and lessons from the project | 00:36:06.840: Thank you, Miriam and Valentina! | 00:40:11.529: Our sponsor: Qlik | | 16 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/3610/s/download/c/buttonlist/92-oddityviz-with-valentina-defilippo-and-miriam-quick.mp3">MP3 Audio<span class="size">37 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/3609/s/download/c/buttonlist/92-oddityviz-with-valentina-defilippo-and-miriam-quick.m4a">MPEG-4 AAC Audio<span class="size">29 MB</span></a> </li> </ul><div style="clear: both"></div><p><img data-attachment-id="2379" data-permalink="http://datastori.es/93-oddityviz-with-valentina-defilippo-and-miriam-quick/miriam3_square/" data-orig-file="http://datastori.es/wp-content/uploads/2017/02/Miriam3_square.jpeg" data-orig-size="1200,1200" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="Miriam3_square" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2017/02/Miriam3_square-300x300.jpeg" data-large-file="http://datastori.es/wp-content/uploads/2017/02/Miriam3_square-1024x1024.jpeg" class="alignleft size-thumbnail wp-image-2379" src="http://datastori.es/wp-content/uploads/2017/02/Miriam3_square-150x150.jpeg" alt="" width="150" height="150" srcset="http://datastori.es/wp-content/uploads/2017/02/Miriam3_square-150x150.jpeg 150w, http://datastori.es/wp-content/uploads/2017/02/Miriam3_square-300x300.jpeg 300w, http://datastori.es/wp-content/uploads/2017/02/Miriam3_square-768x768.jpeg 768w, http://datastori.es/wp-content/uploads/2017/02/Miriam3_square-1024x1024.jpeg 1024w, http://datastori.es/wp-content/uploads/2017/02/Miriam3_square.jpeg 1200w" sizes="(max-width: 150px) 100vw, 150px" /> <img data-attachment-id="2380" data-permalink="http://datastori.es/93-oddityviz-with-valentina-defilippo-and-miriam-quick/vale3_square/" data-orig-file="http://datastori.es/wp-content/uploads/2017/02/Vale3_square.jpg" data-orig-size="1200,1200" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="Vale3_square" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2017/02/Vale3_square-300x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2017/02/Vale3_square-1024x1024.jpg" class="alignleft size-thumbnail wp-image-2380" src="http://datastori.es/wp-content/uploads/2017/02/Vale3_square-150x150.jpg" alt="" width="150" height="150" srcset="http://datastori.es/wp-content/uploads/2017/02/Vale3_square-150x150.jpg 150w, http://datastori.es/wp-content/uploads/2017/02/Vale3_square-300x300.jpg 300w, http://datastori.es/wp-content/uploads/2017/02/Vale3_square-768x768.jpg 768w, http://datastori.es/wp-content/uploads/2017/02/Vale3_square-1024x1024.jpg 1024w, http://datastori.es/wp-content/uploads/2017/02/Vale3_square.jpg 1200w" sizes="(max-width: 150px) 100vw, 150px" /></p><p>We have designer <a href="http://www.valentinadefilippo.co.uk">Valentina D’Efilippo</a> and researcher <a href="http://miriamquick.com">Miriam Quick</a> on the show to talk about their recent project OddityViz, a series of data visualizations of “<a href="https://www.oddityviz.com">Space Oddity</a>,” the famous David Bowie song.</p><p>Valentina and Miriam deconstructed “Space Oddity” into multiple data sets to capture different aspects of the song: its narrative, rhythm, melody, and lyrics. Then they used each element to create a a unique data visualization piece.</p><p>They printed the visualizations as a series of posters and laser-carved acrylic black discs. Beautiful!</p><p>On the show we talk about their background, the process they followed to develop the project, and the events happening around it.</p><p>Enjoy the show!</p><hr /><p><i><span lang="EN-US">Data Stories is brought to you by Qlik. Are you missing out on meaningful relationships hidden in your data? Unlock the whole story with Qlik Sense through personalized visualizations and dynamic dashboards which you can download for free at <a href="http://qlik.de/datastories">qlik.de/datastories</a></span></i>.</p><hr /><p><strong>Links</strong></p><ul><li><span style="font-weight: 400;">Project’s website: </span><a href="https://www.oddityviz.com"><span style="font-weight: 400;">https://www.oddityviz.com</span></a></li><li><span style="font-weight: 400;">Twitter and instagram: <a href="http://twitter.com/oddityviz">@oddityviz</a></span></li><li><span style="font-weight: 400;">David Bowie’s Space Oddity: </span><a href="https://www.youtube.com/watch?v=iYYRH4apXDo"><span style="font-weight: 400;">https://www.youtube.com/watch?v=iYYRH4apXDo</span></a></li><li><span style="font-weight: 400;">Shop: </span><a href="http://fineartamerica.com/featured/1-narrative-oddityviz-space-oddity.html"><span style="font-weight: 400;">Art prints</span></a></li><li><span style="font-weight: 400;">Valentina’s </span><a href="http://www.valentinadefilippo.co.uk/projects/the-infographic-history-of-the-world/"><span style="font-weight: 400;">The Infographic History of the World</span></a></li><li><span style="font-weight: 400;">Wieden+Kennedy: </span><a href="http://www.wk.com/"><span style="font-weight: 400;">http://www.wk.com/</span></a></li><li><a href="https://docs.google.com/spreadsheets/u/1/d/1dTVfZeD_d4rM1q__FBd_BFFCHicstRBXunkK59X8Iec/pubhtml#"><span style="font-weight: 400;">OddityViz data set</span></a></li><li><span style="font-weight: 400;">Melodyne sonic visualization tool: </span><a href="http://www.celemony.com/en/melodyne/what-is-melodyne"><span style="font-weight: 400;">http://www.celemony.com/en/melodyne/what-is-melodyne</span></a></li><li><span style="font-weight: 400;">Visualized Milan: </span><span style="font-weight: 400;"><a href="http://visualized.com/milan/">http://visualized.com/milan/</a></span></li><li>Miriam: <a href="http://miriamquick.com">http://miriamquick.com</a></li><li>Valentina: <a href="http://www.valentinadefilippo.co.uk">http://www.valentinadefilippo.co.uk</a></li></ul><hr /><p>Help Data Stories get crowdfunded! You can find the details at our Patreon page: <a href="https://www.patreon.com/datastories">https://www.patreon.com/datastories</a>.</p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/ds-32-giorgia-lupi/">32 | High Density Infographics and Data Drawing w/ Giorgia Lupi</a> </li> <li> <a href="http://datastori.es/dear-data-with-giorgia-lupi-and-stefanie-posavec-ds64/">64 | "Dear Data" with Giorgia Lupi and Stefanie Posavec</a> </li> <li> <a href="http://datastori.es/73-kim-albrecht-on-untangling-tennis-and-the-cosmic-web/">73 | Kim Albrecht on Untangling Tennis and the Cosmic Web</a> </li> </ul>"" | |||||||||||||||||||
9 | 92 | Mon, 27 Feb 2017 19:40:58 +0000 | 92 | A Tribute to Hans Rosling | Other | NA | NA | 0:00:00 | http://datastori.es/92-a-tribute-to-hans-rosling/ | http://datastori.es/podlove/file/3629/s/feed/c/podcast/92-a-tribute-to-hans-rosling.m4a | 00:01:06.023: Hans Rosling's TED talk "the best stats you have ever seen" | 00:03:41.359: Intro from Enrico & Moritz | 00:08:55.889: Hans Rosling's shortest TED talk | 00:11:06.716: Tribute to Hans Rosling from Kim Rees | 00:15:06.457: Tribute to Hans Rosling from Andy Kirk | 00:21:05.091: Tribute to Hans Rosling from Robert Kosara | 00:25:35.548: Tribute to Hans Rosling from Kennedy Elliott | 00:32:45.373: Tribute to Hans Rosling from Alberto Cairo | 00:36:13.190: Hans Rosling on BBC "The Joy of Stats" | 00:40:55.517: Get in touch & back us on Patreon | | 10 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/3628/s/download/c/buttonlist/92-a-tribute-to-hans-rosling.mp3">MP3 Audio<span class="size">39 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/3629/s/download/c/buttonlist/92-a-tribute-to-hans-rosling.m4a">MPEG-4 AAC Audio<span class="size">30 MB</span></a> </li> </ul><div style="clear: both"></div><p> </p><p><img data-attachment-id="2365" data-permalink="http://datastori.es/92-a-tribute-to-hans-rosling/win-0036-2/" data-orig-file="http://datastori.es/wp-content/uploads/2017/02/WIN-0036-1.jpg" data-orig-size="2000,1398" data-comments-opened="0" data-image-meta="{"aperture":"4.5","credit":"BRIAN J RITCHIE","camera":"Canon EOS 5D Mark III","caption":"","created_timestamp":"1380118403","copyright":"BRIAN J RITCHIE","focal_length":"48","iso":"1600","shutter_speed":"0.05","title":"","orientation":"1"}" data-image-title="WIN-0036" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2017/02/WIN-0036-1-300x210.jpg" data-large-file="http://datastori.es/wp-content/uploads/2017/02/WIN-0036-1-1024x716.jpg" class="alignleft wp-image-2365 size-large" src="http://datastori.es/wp-content/uploads/2017/02/WIN-0036-1-1024x716.jpg" width="960" height="671" srcset="http://datastori.es/wp-content/uploads/2017/02/WIN-0036-1-1024x716.jpg 1024w, http://datastori.es/wp-content/uploads/2017/02/WIN-0036-1-300x210.jpg 300w, http://datastori.es/wp-content/uploads/2017/02/WIN-0036-1-768x537.jpg 768w" sizes="(max-width: 960px) 100vw, 960px" /></p><p> </p><p> </p><p> </p><p> </p><p> </p><p>As you may have heard, Hans Rosling passed away on February 7, 2017. We are deeply saddened by this loss and, in remembering Rosling, we thought a tribute to him was due. The impact Rosling had on visualization and statistical communication is huge; he has left a very big legacy.</p><p>In this special episode, we asked five renowned visualization experts to tell us how Rosling’s work influenced them and how he impacted their own work. Here we hear from <a href="http://www.periscopic.com/do-good/staff/kim">Kim Rees</a> (Periscopic), <a href="http://www.visualisingdata.com/">Andy Kirk</a> (Visualising Data), <a href="https://eagereyes.org/">Robert Kosara</a> (Eagereyes and Tableau), <a href="https://www.washingtonpost.com/people/kennedy-elliott/?utm_term=.e08e72fa6982">Kennedy Elliott</a> (National Geographic), and <a href="http://www.thefunctionalart.com/">Alberto Cairo</a> (University of Miami).</p><p>Thanks so much Hans Rosling for your inspiration and legacy!</p><div style="width: 960px;" class="wp-video"><video class="wp-video-shortcode" id="video-2362-7" width="960" height="720" preload="metadata" controls="controls"><source type="video/mp4" src="http://datastori.es/wp-content/uploads/2017/02/Rosling-promo.mp4?_=7" /><a href="http://datastori.es/wp-content/uploads/2017/02/Rosling-promo.mp4">http://datastori.es/wp-content/uploads/2017/02/Rosling-promo.mp4</a></video></div><p>—</p><p><strong>Some other tributes …</strong></p><ul><li><a href="https://eagereyes.org/blog/2017/hans-rosling-an-appreciation">Hans Rosling: An Appreciation</a> – Robert Kosara, eagereyes.com</li><li><a href="http://blogs.bmj.com/bmj/2017/02/14/seeing-human-lives-in-spreadsheets-the-work-of-hans-rosling/">Seeing human lives in spreadsheets: The work of Hans Rosling (1948–2017)</a> – Max Roser</li><li><a href="https://www.chezvoila.com/blog/rosling">Thank you, Hans Rosling</a> – Francis Gagnon, chezvoila.com</li><li><a href="http://www.visualisingdata.com/2017/02/thank-hans-rosling/">Thank you Hans Rosling</a> – Andy Kirk, visualisingdata.com</li></ul><hr /><p>Help Data Stories get crowdfunded! You can find the details at our Patreon page: <a href="https://www.patreon.com/datastories">https://www.patreon.com/datastories</a>.</p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/data-stories-57-human-dev-w-max-roser/">57 | Visualizing Human Development w/ Max Roser</a> </li> </ul>"" | |||||||||||||||||||
10 | 91 | Tue, 07 Feb 2017 17:07:52 +0000 | 91 | Visualizing Data with RAW | Project | 2 | M | 0:32:06 | http://datastori.es/91-visualizing-data-with-raw/ | http://datastori.es/podlove/file/3561/s/feed/c/podcast/91-density-design-raw.m4a | 00:00:07.257: Our sponsor: Qlik | 00:00:30.047: Welcome from Enrico and Moritz | 00:02:03.687: Thank you to our patrons! And please help us make our goal! | 00:03:10.090: Our three guests from RAW | 00:04:05.647: Michele Mauri | 00:04:25.032: Giorgio Uboldi | 00:04:56.652: Giorgio Caviglia | 00:05:28.741: Introducing RAW | 00:08:00.164: The origin story of RAW | 00:12:48.800: The "geeky stuff" behind RAW: tools and tech | 00:17:14.418: Making custom charts | 00:19:47.071: Lessons learned from developing RAW | 00:24:32.446: What's next for RAW? | 00:30:14.884: Get in touch & back us on Patreon | 00:31:48.364: Our sponsor: Qlik | | 15 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/3560/s/download/c/buttonlist/91-density-design-raw.mp3">MP3 Audio<span class="size">29 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/3561/s/download/c/buttonlist/91-density-design-raw.m4a">MPEG-4 AAC Audio<span class="size">23 MB</span></a> </li> </ul><div style="clear: both"></div><p>[Help us become a crowdfunded podcast! Go to our <a href="https://www.patreon.com/datastories">Patreon homepage</a> to become a Data Stories patron. Pledging starts at $3 per episode. And thanks!]</p><p>In this episode we have on a nice trio of Italian visualizers — <span style="font-weight: 400;"><a href="http://www.densitydesign.org/person/michele-mauri/">Michele Mauri</a> (Density Design), </span><span style="font-weight: 400;"><a href="http://calib.ro/">Giorgio Uboldi</a> (Calibro), and </span><span style="font-weight: 400;"><a href="http://giorgiocaviglia.com/">Giorgio Caviglia</a> (Trifacta) — to talk about RAW, the data visualization tool they built to help people visualize data interactively.</span></p><p><span style="font-weight: 400;"><a href="http://datastori.es/wp-content/uploads/2017/02/headshot-michele.jpg"><img data-attachment-id="2350" data-permalink="http://datastori.es/91-visualizing-data-with-raw/headshot-michele/" data-orig-file="http://datastori.es/wp-content/uploads/2017/02/headshot-michele.jpg" data-orig-size="1432,1653" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"1"}" data-image-title="headshot-michele" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2017/02/headshot-michele-260x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2017/02/headshot-michele-887x1024.jpg" class="alignleft wp-image-2350 size-thumbnail" src="http://datastori.es/wp-content/uploads/2017/02/headshot-michele-150x150.jpg" width="150" height="150" /></a></span><span style="font-weight: 400;"><a href="http://datastori.es/wp-content/uploads/2017/02/gu-1.jpg"><img data-attachment-id="2352" data-permalink="http://datastori.es/91-visualizing-data-with-raw/gu-1/" data-orig-file="http://datastori.es/wp-content/uploads/2017/02/gu-1.jpg" data-orig-size="546,640" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"1486468844","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"1"}" data-image-title="gu (1)" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2017/02/gu-1-256x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2017/02/gu-1.jpg" class="alignleft wp-image-2352 size-thumbnail" src="http://datastori.es/wp-content/uploads/2017/02/gu-1-150x150.jpg" width="150" height="150" /></a></span></p><p><a href="http://datastori.es/wp-content/uploads/2017/02/Giorgio-Caviglia.jpg"><img data-attachment-id="2349" data-permalink="http://datastori.es/91-visualizing-data-with-raw/giorgio-caviglia/" data-orig-file="http://datastori.es/wp-content/uploads/2017/02/Giorgio-Caviglia.jpg" data-orig-size="2080,2893" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="Giorgio Caviglia" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2017/02/Giorgio-Caviglia-216x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2017/02/Giorgio-Caviglia-736x1024.jpg" class="alignleft wp-image-2349 size-thumbnail" src="http://datastori.es/wp-content/uploads/2017/02/Giorgio-Caviglia-150x150.jpg" width="150" height="150" /></a></p><p> </p><p> </p><p> </p><p> </p><p>RAW is a very nice web-based and open-source data visualization tool that permits users to easily create charts without coding and to export them as vector graphics for further editing in external tools.</p><p>On the show we talk about why the team decided to develop RAW, how they got started, how they evolved RAW over time, the lessons they’ve learned, and their future plans.</p><p>Enjoy the show!</p><hr /><p><i><span lang="EN-US">Data Stories is brought to you by Qlik. Are you missing out on meaningful relationships hidden in your data? Unlock the whole story with Qlik Sense through personalized visualizations and dynamic dashboards which you can download for free at <a href="http://qlik.de/datastories">qlik.de/datastories</a></span></i>.</p><hr /><p><strong>Links</strong></p><ul><li><span style="font-weight: 400;">RAW: </span><a href="http://rawgraphs.io/"><span style="font-weight: 400;">http://rawgraphs.io/</span></a></li><li><span style="font-weight: 400;">Michele Mauri: </span><a href="http://www.densitydesign.org/person/michele-mauri/"><span style="font-weight: 400;">http://www.densitydesign.org/person/michele-mauri/</span></a></li><li><span style="font-weight: 400;">Giorgio Uboldi: </span><a href="http://calib.ro/"><span style="font-weight: 400;">http://calib.ro/</span></a></li><li><span style="font-weight: 400;">Giorgio Caviglia: </span><a href="http://giorgiocaviglia.com/"><span style="font-weight: 400;">http://giorgiocaviglia.com/</span></a></li><li><span style="font-weight: 400;">Pure JS: </span><a href="http://purejs.org/"><span style="font-weight: 400;">http://purejs.org/</span></a></li><li><span style="font-weight: 400;">Angular JS: </span><a href="https://angularjs.org/"><span style="font-weight: 400;">https://angularjs.org/</span></a></li><li><span style="font-weight: 400;">D3 JS: </span><a href="https://d3js.org/"><span style="font-weight: 400;">https://d3js.org/</span></a></li><li><span style="font-weight: 400;">Contactlab: </span><a href="http://contactlab.com/en/"><span style="font-weight: 400;">http://contactlab.com/en/</span></a></li></ul><hr /><div style="width: 960px;" class="wp-video"><video class="wp-video-shortcode" id="video-2327-8" width="960" height="720" preload="metadata" controls="controls"><source type="video/mp4" src="http://datastori.es/wp-content/uploads/2017/02/RAW-promo_v3.m4v?_=8" /><a href="http://datastori.es/wp-content/uploads/2017/02/RAW-promo_v3.m4v">http://datastori.es/wp-content/uploads/2017/02/RAW-promo_v3.m4v</a></video></div> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/data-stories-39-densitydesign-w-paolo-ciuccarelli/">39 | DensityDesign w/ Paolo Ciuccarelli</a> </li> <li> <a href="http://datastori.es/67-ggplot2-r-and-data-toolmaking-with-hadley-wickham/">67 | ggplot2, R, and data toolmaking with Hadley Wickham</a> </li> </ul>"" | |||||||||||||||||||
11 | 90 | Sun, 15 Jan 2017 21:13:20 +0000 | 90 | Beyond the Chart with Brendan Dawes | Chat | 1 | M | 0:54:00 | http://datastori.es/90-brendan-dawes/ | http://datastori.es/podlove/file/3454/s/feed/c/podcast/90-visualizing-without-drawing-with-brendan-dawes.m4a | 00:00:12.234: Our sponsor: Qlik | 00:00:52.238: Greetings from Enrico and Moritz | 00:01:31.554: Announcing our Patreon crowdfunding campaign | 00:03:52.589: Introducing Brendan Dawes | 00:07:28.945: Brendan's most famous project, Cinema Redux | 00:16:02.795: Doris Le Bot project | 00:23:34.713: An artist working with data, not a data visualizer working with art | 00:28:45.473: Plastic Player project | 00:36:29.174: Six Monkeys project | 00:41:03.887: Brendan's creative process and tools | 00:48:23.444: What's next for Brendan | 00:52:06.718: Get in touch & back us on Patreon | 00:53:40.113: Our sponsor: Qlik | | 13 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/3456/s/download/c/buttonlist/90-visualizing-without-drawing-with-brendan-dawes.mp3">MP3 Audio<span class="size">50 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/3454/s/download/c/buttonlist/90-visualizing-without-drawing-with-brendan-dawes.m4a">MPEG-4 AAC Audio<span class="size">39 MB</span></a> </li> </ul><div style="clear: both"></div><p>Hey folks, we are back!</p><p>Before delving into this episode’s content, we have a special announcement: we started a crowdfunding campaign to turn Data Stories into a show that is fully-funded by our listeners! You can support us by visiting our <a href="https://www.patreon.com/datastories">Patreon page</a>, and all the details of the initiative can be found <a href="http://datastori.es/data-stories-crowdfunding/">here</a>.</p><p><img data-attachment-id="2315" data-permalink="http://datastori.es/90-brendan-dawes/brendandawes-2/" data-orig-file="http://datastori.es/wp-content/uploads/2017/01/brendandawes-1.jpg" data-orig-size="1068,1068" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="brendandawes" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2017/01/brendandawes-1-300x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2017/01/brendandawes-1-1024x1024.jpg" class="alignleft wp-image-2315 size-thumbnail" src="http://datastori.es/wp-content/uploads/2017/01/brendandawes-1-150x150.jpg" width="150" height="150" srcset="http://datastori.es/wp-content/uploads/2017/01/brendandawes-1-150x150.jpg 150w, http://datastori.es/wp-content/uploads/2017/01/brendandawes-1-300x300.jpg 300w, http://datastori.es/wp-content/uploads/2017/01/brendandawes-1-768x768.jpg 768w, http://datastori.es/wp-content/uploads/2017/01/brendandawes-1-1024x1024.jpg 1024w, http://datastori.es/wp-content/uploads/2017/01/brendandawes-1.jpg 1068w" sizes="(max-width: 150px) 100vw, 150px" /></p><p>For our first episode of 2017 we had a very delightful chat with <a href="http://www.brendandawes.com/">Brendan Dawes</a>. Brendan is an artist and designer who works with interactive installations, data visualizations, and all things across the digital and physical sphere. He has a lot of super fascinating projects, including the famous <a href="http://www.brendandawes.com/projects/cinemaredux">Cinema Redux</a>, an art piece that visualizes entire movies as a collection of snapshots.</p><p>On the show we talk about his projects, his design process and philosophy, his relationship with the data visualization world, how he generates ideas, and his upcoming projects.</p><p>We hope you enjoy this great conversation at the intersection of data, art, design, interaction and visualization!</p><hr /><p><i><span lang="EN-US">Data Stories is brought to you by Qlik. Are you missing out on meaningful relationships hidden in your data? Unlock the whole story with Qlik Sense through personalized visualizations and dynamic dashboards which you can download for free at <a href="http://qlik.de/datastories">qlik.de/datastories</a></span></i>.</p><hr /><hr /><p><strong>Links</strong></p><ul><li style="font-weight: 400;"><span style="font-weight: 400;">Our Patreon crowdfunding campaign: </span><a href="https://www.patreon.com/datastories"><span style="font-weight: 400;">https://www.patreon.com/datastories</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Brendan Dawes: </span><a href="http://www.brendandawes.com/"><span style="font-weight: 400;">http://www.brendandawes.com/</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Brendan’s Cinema Redux project: </span><a href="http://www.brendandawes.com/projects/cinemaredux"><span style="font-weight: 400;">http://www.brendandawes.com/projects/cinemaredux</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Our episode on Indexical Visualization: </span><a href="http://datastori.es/80-indexical-visualization-with-dietmar-offenhuber/"><span style="font-weight: 400;">http://datastori.es/80-indexical-visualization-with-dietmar-offenhuber/</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Brendan’s Doris Le Bot project: </span><a href="http://www.brendandawes.com/projects/dorislebot"><span style="font-weight: 400;">http://www.brendandawes.com/projects/dorislebot</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Brendan’s James Bond Kills project: </span><a href="http://www.brendandawes.com/projects/jamesbondkills"><span style="font-weight: 400;">http://www.brendandawes.com/projects/jamesbondkills</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Brendan’s Plastic Player project: </span><a href="http://www.brendandawes.com/projects/plasticplayer"><span style="font-weight: 400;">http://www.brendandawes.com/projects/plasticplayer</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Brendan’s Six Monkeys project for email interaction: </span><a href="http://www.brendandawes.com/projects/sixmonkeys"><span style="font-weight: 400;">http://www.brendandawes.com/projects/sixmonkeys</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Processing software: </span><span style="font-weight: 400;"><a href="https://processing.org/">https://processing.org/</a></span></li><li style="font-weight: 400;">openFrameworks: <a href="http://openframeworks.cc/"><span style="font-weight: 400;">http://openframeworks.cc/</span></a></li></ul><div style="width: 960px;" class="wp-video"><video class="wp-video-shortcode" id="video-2286-9" width="960" height="720" preload="metadata" controls="controls"><source type="video/mp4" src="http://datastori.es/wp-content/uploads/2017/01/Brendan-Dawes-promo.m4v?_=9" /><a href="http://datastori.es/wp-content/uploads/2017/01/Brendan-Dawes-promo.m4v">http://datastori.es/wp-content/uploads/2017/01/Brendan-Dawes-promo.m4v</a></video></div><hr /><p>Help Data Stories get crowdfunded! You can find the details at our Patreon page: <a href="https://www.patreon.com/datastories">https://www.patreon.com/datastories</a>.</p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/80-indexical-visualization-with-dietmar-offenhuber/">80 | Indexical Visualization with Dietmar Offenhuber</a> </li> <li> <a href="http://datastori.es/81-the-hustle-with-mahir-yavuz-and-jan-willem-tulp/">81 | The Hustle with Mahir Yavuz and Jan Willem Tulp</a> </li> </ul>"" | |||||||||||||||||||
12 | 89 | Thu, 22 Dec 2016 04:06:55 +0000 | 89 | Data Vis Around the World in 2016 | Year Review | NA | NA | 1:35:18 | http://datastori.es/89-data-vis-around-the-world-in-2016/ | http://datastori.es/podlove/file/3418/s/feed/c/podcast/89-datavis-around-the-world-in-2016.m4a | 00:00:00.000: Our sponsor: Qlik | 00:00:22.108: Introduction with Enrico & Moritz | 00:02:15.862: Krisztina Sz?cs from Hungary | 00:12:28.773: Blaise Aboh from Nigeria | 00:25:43.481: Simon Ducroquet from Brazil | 00:45:47.212: Our sponsor: Qlik | 00:47:36.903: Nikita Rokotyan from Western Siberia | 00:59:45.614: Simon Elvery from Australia | 01:12:01.125: Jane Pong from Hong Kong | 01:21:57.249: Moritz & Enrico wrap it up! Happy holidays everyone! | 01:33:43.791: Rate us and get in touch! | 01:34:56.738: Our sponsor: Qlik | | 12 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/3422/s/download/c/buttonlist/89-datavis-around-the-world-in-2016.mp3">MP3 Audio<span class="size">87 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/3418/s/download/c/buttonlist/89-datavis-around-the-world-in-2016.m4a">MPEG-4 AAC Audio<span class="size">68 MB</span></a> </li> </ul><div style="clear: both"></div><p>Hey everyone!</p><p>For the end of the year we decided to experiment with a new, very special kind of episode. We asked 6 different visualization experts from 6 different countries (and 5 different continents!) to tell us what happened this year in the data visualization space on their side of the world.</p><p><a href="http://datastori.es/wp-content/uploads/2016/12/Screen-Shot-2016-12-21-at-10.58.39-PM.png"><img data-attachment-id="2258" data-permalink="http://datastori.es/89-data-vis-around-the-world-in-2016/screen-shot-2016-12-21-at-10-58-39-pm/" data-orig-file="http://datastori.es/wp-content/uploads/2016/12/Screen-Shot-2016-12-21-at-10.58.39-PM.png" data-orig-size="768,574" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="Screen Shot 2016-12-21 at 10.58.39 PM" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/12/Screen-Shot-2016-12-21-at-10.58.39-PM-300x224.png" data-large-file="http://datastori.es/wp-content/uploads/2016/12/Screen-Shot-2016-12-21-at-10.58.39-PM.png" class="alignnone size-full wp-image-2258" src="http://datastori.es/wp-content/uploads/2016/12/Screen-Shot-2016-12-21-at-10.58.39-PM.png" alt="" width="768" height="574" srcset="http://datastori.es/wp-content/uploads/2016/12/Screen-Shot-2016-12-21-at-10.58.39-PM.png 768w, http://datastori.es/wp-content/uploads/2016/12/Screen-Shot-2016-12-21-at-10.58.39-PM-300x224.png 300w" sizes="(max-width: 768px) 100vw, 768px" /></a></p><p>We virtually traveled very far! On the podcast, we have <a href="http://krisztinaszucs.com/">Krisztina Szűcs</a> from Hungary, <a href="https://ng.linkedin.com/in/blaiseaboh">Blaise Aboh</a> from Nigeria, <a href="http://cargocollective.com/ducroquet">Simon Ducroquet</a> from Brazil, <a href="http://rokotyan.com/">Nikita Rokotyan</a> from Western Siberia, <a href="https://elvery.net/drzax/">Simon Elvery</a> from Australia, and <a href="https://officeofjane.com/">Jane Pong</a> from Hong Kong.</p><p>To each, we asked four simple questions:</p><ul><li>Who are you and where are you located?</li><li>How is the data visualization scene where you are?</li><li>What were the major developments or projects this year?</li><li>What do you hope for next year?</li></ul><p>As you will discover by listening to this episode, a lot is going on in these countries. It’s fascinating to learn about it, and we really hope you’ll enjoy our new experiment. Let us know what you think!</p><p>…And with this, we wish you Happy Holidays and a Happy New Year! It’s been great serving all of you through our show, including a total of 24 episodes this year!</p><p>Take care.</p><hr /><p>This episode of Data Stories is sponsored by <a href="http://qlik.com">Qlik</a>, which allows you to explore the hidden relationships within your data that lead to meaningful insights. Don’t miss their <a href="http://go.qlik.com/EMEA_2017_Q1_BI_Trends_PRG_Registration.html?sourceID1=datastories">webinar on business intelligence trends 2017</a> on January 11, 2017!</p><hr /><p><strong>Links</strong></p><p>Krisztina Szűcs in Hungary</p><ul><li style="font-weight: 400;"><span style="font-weight: 400;">Krisztina: </span><a href="http://krisztinaszucs.com/"><span style="font-weight: 400;">http://krisztinaszucs.com/</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Krisztina’s </span><a href="http://krisztinaszucs.com/?my-product=little-red-riding-hood "><span style="font-weight: 400;">Little Red Riding Hood Data Viz</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Dear Data: </span><span style="font-weight: 400;"><a href="http://www.dear-data.com/">http://www.dear-data.com/</a></span></li></ul><p>Blaise Aboh in Nigeria</p><ul><li style="font-weight: 400;"><span style="font-weight: 400;">Company: </span><a href="http://www.orodataviz.com/"><span style="font-weight: 400;">Orodata Science</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Blaise on Medium: </span><span style="font-weight: 400;"><a href="https://medium.com/@AimLEGEND_">https://medium.com/@AimLEGEND_</a></span></li></ul><p>Simon Ducroquet in Brazil</p><ul><li style="font-weight: 400;"><span style="font-weight: 400;">Simon Ducroquet: </span><a href="http://cargocollective.com/ducroquet"><span style="font-weight: 400;">cargocollective.com/ducroquet</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Simon Ducroquet’s Nexo: </span><span style="font-weight: 400;"><a href="https://www.nexojornal.com.br/">https://www.nexojornal.com.br/</a></span></li></ul><p>Nikita Rokotyan in Western Siberia</p><ul><li style="font-weight: 400;"><span style="font-weight: 400;">Nikita Rokotyan: </span><a href="http://rokotyan.com/"><span style="font-weight: 400;">http://rokotyan.com/</span></a></li><li style="font-weight: 400;"><a href="https://ria.ru/infografika/20151210/1339535142.html?lang=en"><span style="font-weight: 400;">63 Years of Nobel Prize Visualizations</span></a></li><li style="font-weight: 400;"><a href="http://moscowmarathon.org/ru/moscowmarathon/participants/race-results/visualization/"><span style="font-weight: 400;">Moscow Marathon Visualization</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Tinker with a neural network: </span><a href="http://playground.tensorflow.org/"><span style="font-weight: 400;">http://playground.tensorflow.org/</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;"><a href="http://rhythm-of-food.net/">The Rhythm of Food</a></span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Data Visualization Russia Slack Channel: </span><span style="font-weight: 400;"><a href="https://datavisrus.typeform.com/to/KI90wt">https://datavisrus.typeform.com/to/KI90wt</a></span></li></ul><p>Simon Elvery in Australia</p><ul><li style="font-weight: 400;"><span style="font-weight: 400;">Simon Elvery: </span><a href="https://elvery.net/drzax/"><span style="font-weight: 400;">https://elvery.net/drzax/</span></a></li><li style="font-weight: 400;"><a href="http://www.meetup.com/Hacks-Hackers-Brisbane/"><span style="font-weight: 400;">Hacks Hackers Brisbane</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Stories with Data Slack Channel: </span><a href="http://storieswithdata.community/"><span style="font-weight: 400;">http://storieswithdata.community/</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">The Guardian, “</span><a href="https://www.theguardian.com/australia-news/datablog/ng-interactive/2016/aug/31/are-you-reflected-in-the-new-parliament-diversity-survey-of-australian-politics "><span style="font-weight: 400;">Are you reflected in the new parliament?</span></a><span style="font-weight: 400;">” </span></li><li style="font-weight: 400;"><span style="font-weight: 400;">ABC News, “</span><a href="http://www.abc.net.au/news/2016-09-12/how-the-senate-stacks-up-explained/7795226"><span style="font-weight: 400;">What is Malcolm Turnbull up against in the new Senate?</span></a><span style="font-weight: 400;">” </span></li><li style="font-weight: 400;"><span style="font-weight: 400;">The New York Times, “</span><a href="http://www.nytimes.com/interactive/2014/09/14/sports/baseball/jeter-swings.html?_r=0"><span style="font-weight: 400;">342,000 Swings Later, Derek Jeter Calls It a Career</span></a><span style="font-weight: 400;">”</span></li></ul><p>Jane Pong in Hong Kong</p><ul><li><span style="font-weight: 400;">Jane Pong: </span><a href="https://officeofjane.com/"><span style="font-weight: 400;">https://officeofjane.com/</span></a></li><li><a href="http://www.xceed.hk/work/radiancescape/" target="_blank" data-saferedirecturl="https://www.google.com/url?hl=en&q=http://www.xceed.hk/work/radiancescape/&source=gmail&ust=1482500880613000&usg=AFQjCNG7LnQOHqwWKc6zS23jm4LDVWgVGw">Radiancescape</a></li><li>The Financial Times, <a href="https://www.ft.com/stream/topicsId/ODdkODk0OGMtODc1Ni00YmJiLWFhYzctZTg4NDI4M2YyZjdk-VG9waWNz" target="_blank" data-saferedirecturl="https://www.google.com/url?hl=en&q=https://www.ft.com/stream/topicsId/ODdkODk0OGMtODc1Ni00YmJiLWFhYzctZTg4NDI4M2YyZjdk-VG9waWNz&source=gmail&ust=1482500880613000&usg=AFQjCNFHQbuWBHgStUewDpcuI1xdYhtBKA">The Chart Doctor</a></li></ul><div style="width: 960px;" class="wp-video"><video class="wp-video-shortcode" id="video-2190-10" width="960" height="720" preload="metadata" controls="controls"><source type="video/mp4" src="http://datastori.es/wp-content/uploads/2016/12/year-review-promo_v3.mp4?_=10" /><a href="http://datastori.es/wp-content/uploads/2016/12/year-review-promo_v3.mp4">http://datastori.es/wp-content/uploads/2016/12/year-review-promo_v3.mp4</a></video></div> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/episode-16-what-was-big-in-2012-and-what-is-coming-in-2013/">16 | What Was Big in 2012 and What Is Coming in 2013</a> </li> <li> <a href="http://datastori.es/data-stories-46-year-2014-review-w-robert-kosara-and-andy-kirk/">46 | Year 2014 Review w/ Robert Kosara and Andy Kirk</a> </li> <li> <a href="http://datastori.es/what-happened-in-vis-in-2015-year-review-with-andy-kirk-and-robert-kosara-ds65/">65 | What Happened in Vis in 2015? Year Review with Andy Kirk and Robert Kosara</a> </li> </ul>"" | |||||||||||||||||||
13 | 88 | Tue, 06 Dec 2016 20:34:11 +0000 | 88 | Re-designing Visualizations on #MakeoverMonday with Andy Kriebel and Andy Cotgreave | Project | 2 | M | 0:42:03 | http://datastori.es/88-re-designing-visualizations-on-makeovermonday-with-andy-kriebel-and-andy-cotgreave/ | http://datastori.es/podlove/file/3351/s/feed/c/podcast/88-re-designing-visualizations-in-makeovermonday-with-andy-kriebel-and-andy-cotgreave.m4a | 00:00:17.685: Our sponsor: Centre for Interdisciplinary Methodologies at the University of Warwick | 00:01:13.171: News from Enrico and Moritz: Moritz's new Google News Lab project | 00:02:38.469: Introducing Makeover Mondays with Andy Cotgreave and Andy Kriebel | 00:03:55.706: Andy Cotgreave | 00:04:15.347: Andy Kriebel | 00:04:32.670: What's a Makeover Monday? | 00:06:58.533: The process for creating a Makeover Monday | 00:10:15.670: Audience participation in Makeover Monday | 00:12:02.745: The big Makeover Monday stories | 00:15:10.708: The evolution of the project: From elaborate and competitive to simple and encouraging | 00:23:01.038: The benefits of Makeover Monday for data viz training | 00:23:36.114: Our sponsor: Centre for Interdisciplinary Methodologies at the University of Warwick | 00:25:29.457: Reconsidering redesign "best practices" | 00:30:18.101: Strategies to teach and learn to make data visualizations | 00:34:08.545: Why do some designs feel good? | 00:36:10.356: What comes after Makeover Monday? | 00:41:28.120: Our sponsor: Centre for Interdisciplinary Methodologies at the University of Warwick | | 17 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/3352/s/download/c/buttonlist/88-re-designing-visualizations-in-makeovermonday-with-andy-kriebel-and-andy-cotgreave.mp3">MP3 Audio<span class="size">39 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/3351/s/download/c/buttonlist/88-re-designing-visualizations-in-makeovermonday-with-andy-kriebel-and-andy-cotgreave.m4a">MPEG-4 AAC Audio<span class="size">30 MB</span></a> </li> </ul><div style="clear: both"></div><p><a href="http://datastori.es/wp-content/uploads/2016/11/andys.jpg"><img data-attachment-id="2171" data-permalink="http://datastori.es/88-re-designing-visualizations-on-makeovermonday-with-andy-kriebel-and-andy-cotgreave/andys/" data-orig-file="http://datastori.es/wp-content/uploads/2016/11/andys.jpg" data-orig-size="663,663" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="andys" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/11/andys-300x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2016/11/andys.jpg" class="alignleft size-thumbnail wp-image-2171" src="http://datastori.es/wp-content/uploads/2016/11/andys-150x150.jpg" alt="andys" width="150" height="150" srcset="http://datastori.es/wp-content/uploads/2016/11/andys-150x150.jpg 150w, http://datastori.es/wp-content/uploads/2016/11/andys-300x300.jpg 300w, http://datastori.es/wp-content/uploads/2016/11/andys.jpg 663w" sizes="(max-width: 150px) 100vw, 150px" /></a>On the show this week, we have <a href="http://www.vizwiz.com/">Andy Kriebel, </a>Head Coach at <a href="http://www.theinformationlab.co.uk/">The Information Lab</a>, and <a href="http://gravyanecdote.com/">Andy Cotgreave</a>, Technical Evangelist at <a href="http://www.tableau.com/">Tableau</a>, to talk about their lovely social web series, <a href="http://www.makeovermonday.co.uk/">#MakeoverMonday</a>.</p><p>This is how #MakeoverMonday works, according to Andy and Andy: “<em>Each week we post a link to a chart, and its data, and then you rework the chart. Maybe you retell the story more effectively, or find a new story in the data. We’re curious to see the different approaches you all take. Whether it’s a simple bar chart or an elaborate infographic, we encourage everyone of all skills to partake. Together we can have broader conversations about and with data.</em>”</p><p>The series has recently gained a lot of traction: they have seen more than 2,800 entries from 470 participants, and will soon complete a whole set of entries for the year.</p><p>On the show we talk about how they got started with the project, how the series works, some interesting solutions they have received, and what is coming next.</p><p>Enjoy the show!</p><div><a href="http://datastori.es/wp-content/uploads/2016/11/Our-makeovers-after-week-45-square.jpg"><img data-attachment-id="2168" data-permalink="http://datastori.es/88-re-designing-visualizations-on-makeovermonday-with-andy-kriebel-and-andy-cotgreave/2016-11-28-at-11-50-53/" data-orig-file="http://datastori.es/wp-content/uploads/2016/11/2016-11-28-at-11.50.53.png" data-orig-size="1414,2230" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="2016-11-28-at-11-50-53" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/11/2016-11-28-at-11.50.53-190x300.png" data-large-file="http://datastori.es/wp-content/uploads/2016/11/2016-11-28-at-11.50.53-649x1024.png" class="alignleft size-large wp-image-2168" src="http://datastori.es/wp-content/uploads/2016/11/2016-11-28-at-11.50.53-649x1024.png" alt="2016-11-28-at-11-50-53" width="649" height="1024" srcset="http://datastori.es/wp-content/uploads/2016/11/2016-11-28-at-11.50.53-649x1024.png 649w, http://datastori.es/wp-content/uploads/2016/11/2016-11-28-at-11.50.53-190x300.png 190w, http://datastori.es/wp-content/uploads/2016/11/2016-11-28-at-11.50.53-768x1211.png 768w, http://datastori.es/wp-content/uploads/2016/11/2016-11-28-at-11.50.53.png 1414w" sizes="(max-width: 649px) 100vw, 649px" /><img data-attachment-id="2169" data-permalink="http://datastori.es/88-re-designing-visualizations-on-makeovermonday-with-andy-kriebel-and-andy-cotgreave/our-makeovers-after-week-45-square/" data-orig-file="http://datastori.es/wp-content/uploads/2016/11/Our-makeovers-after-week-45-square.jpg" data-orig-size="4426,3580" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="our-makeovers-after-week-45-square" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/11/Our-makeovers-after-week-45-square-300x243.jpg" data-large-file="http://datastori.es/wp-content/uploads/2016/11/Our-makeovers-after-week-45-square-1024x828.jpg" class="alignleft size-large wp-image-2169" src="http://datastori.es/wp-content/uploads/2016/11/Our-makeovers-after-week-45-square-1024x828.jpg" alt="our-makeovers-after-week-45-square" width="960" height="776" srcset="http://datastori.es/wp-content/uploads/2016/11/Our-makeovers-after-week-45-square-1024x828.jpg 1024w, http://datastori.es/wp-content/uploads/2016/11/Our-makeovers-after-week-45-square-300x243.jpg 300w, http://datastori.es/wp-content/uploads/2016/11/Our-makeovers-after-week-45-square-768x621.jpg 768w" sizes="(max-width: 960px) 100vw, 960px" /></a></div><hr style="clear: both;" /><p><strong>Links</strong></p><ul><li><a href="http://rhythm-of-food.net">Rhythm of Food</a></li><li><span style="font-weight: 400;">Andy Cotgreave:</span> <a href="http://gravyanecdote.com"><span style="font-weight: 400;">http://gravyanecdote.com</span></a></li><li><span style="font-weight: 400;">Andy Kriebel: </span><a href="http://www.vizwiz.com"><span style="font-weight: 400;">http://www.vizwiz.com</span></a></li><li><span style="font-weight: 400;">MakeoverMonday:</span> <a href="http://www.makeovermonday.co.uk"><span style="font-weight: 400;">http://www.makeovermonday.co.uk</span></a></li><li><span style="font-weight: 400;">The Makeover Monday Pinterest Board: </span><a href="https://www.pinterest.com/andykriebel/makeover-monday/"><span style="font-weight: 400;">https://www.pinterest.com/andykriebel/makeover-monday/</span></a></li><li><span style="font-weight: 400;">Don Norman’s </span><a href="https://www.amazon.com/Design-Everyday-Things-Revised-Expanded/dp/0465050654"><span style="font-weight: 400;">The Design of Everyday Things </span></a><span style="font-weight: 400;">book </span></li><li><span style="font-weight: 400;">The big Makeover Monday </span><a href="http://www.usatoday.com/story/weather/2016/05/10/climate-spiral-rising-global-temperatures/84185746/"><span style="font-weight: 400;">story on climate change</span></a></li><li><span style="font-weight: 400;">Fernanda Viégas and Martin Wattenberg on </span><span style="font-weight: 400;"><a href="https://medium.com/@hint_fm/design-and-redesign-4ab77206cf9#.7l4fq16qa">Design and Redesign in Data Visualization</a></span></li></ul><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p><span style="font-weight: 400;">This episode of Data Stories is sponsored by the <a href="http://www.warwick.ac.uk/datastories">Centre for Interdisciplinary Methodologies at the University of Warwick</a>, where students study masters courses in Urban Informatics and Analytics, Big Data and Digital Media. These courses include subjects such as Visualisation, Big Data, Digital Sociology, Advanced Quantitative Research, and Spatial Methods including Geographic Information Systems all the way to User Interface Cultures and Playful Media. </span><span style="font-weight: 400;">Find out more about studying and working with CIM at <a href="http://www.warwick.ac.uk/datastories">www.warwick.ac.uk/datastories.</a></span></p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/data-stories-23-inspiration-or-plagiarism/">23 | Inspiration or Plagiarism? w/ Bryan Connor and Mahir Yavuz</a> </li> <li> <a href="http://datastori.es/dear-data-with-giorgia-lupi-and-stefanie-posavec-ds64/">64 | "Dear Data" with Giorgia Lupi and Stefanie Posavec</a> </li> <li> <a href="http://datastori.es/69-data-visualization-literacy-with-jeremy-boy-helen-kennedy-and-andy-kirk/">69 | Data Visualization Literacy with Jeremy Boy, Helen Kennedy and Andy Kirk</a> </li> </ul>"" | |||||||||||||||||||
14 | 87 | Wed, 23 Nov 2016 23:28:16 +0000 | 87 | VizKidz: Books on Data Visualization for Kids | Project | 2 | F | 0:25:12 | http://datastori.es/87-vizkidz-books-on-data-visualization-for-kids/ | http://datastori.es/podlove/file/3299/s/feed/c/podcast/87-vizkidz-books-on-data-visualization-for-kids.m4a | 00:00:08.821: Our sponsor: Qlik | 00:00:50.261: Welcome from Moritz and Enrico | 00:01:22.574: Introducing the VizKidz book series and authors Liv Buli and Abigail Ricarte | 00:02:00.080: Abigail Ricarte, product designer | 00:02:42.272: Liv Buli, data journalist | 00:04:59.410: The concept behind the book series | 00:07:09.033: The characters | 00:11:48.162: The Kickstarter campaign | 00:13:53.920: Our sponsor: Qlik | 00:15:42.057: Lessons learned for Kickstarter success | 00:17:26.859: Listener question: Penelope Pie and the data viz controversy over pie charts | 00:19:46.509: Audience reception: how kids respond | 00:21:18.606: How to get copies of the series | 00:24:47.525: Our sponsor: Qlik | | 14 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/3300/s/download/c/buttonlist/87-vizkidz-books-on-data-visualization-for-kids.mp3">MP3 Audio<span class="size">23 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/3299/s/download/c/buttonlist/87-vizkidz-books-on-data-visualization-for-kids.m4a">MPEG-4 AAC Audio<span class="size">18 MB</span></a> </li> </ul><div style="clear: both"></div><p>Hey, we talk about a super lovely project on the show today!</p><p>Book illustrator and product designer <a href="http://www.abigailricarte.com/">Abigail Ricarte</a> and data journalist <a href="http://www.livbuli.com/">Liv Buli</a> join us to talk about their Kickstarter project, <a href="https://www.kickstarter.com/projects/414625356/vizkidz-a-series-of-books-on-data-visualization-fo">VizKidz</a>, an illustrated book series designed to teach kids about data visualization.</p><p>The series features four lovely characters: Penelope Pie, Laney Line, Barnaby Bar, and Bertie Boxplot, each with a specific “personality.”</p><p>On the show we talk about how the project started, how they designed the characters, and what it takes to launch a data visualization project on Kickstarter.</p><p>If you are interested in buying the book or learning more about the project, check out their website: <a href="http://www.vizkidz.rocks/">http://www.vizkidz.r</a><a href="http://www.vizkidz.rocks/">ocks/</a>.</p><p>Enjoy the show!</p><p>—</p><p>This episode of Data Stories is sponsored by <a href="http://qlik.com">Qlik</a>, which allows you to explore the hidden relationships within your data that lead to meaningful insights. Check out <a href="http://global.qlik.com/br/blog/posts/mike-saliter/so-easy-1st-graders-can-do-it">the blog post</a> about how Qlik’s vice president taught first graders some data visualization skills. And make sure to try out Qlik Sense for free at: <a href="http://qlik.de/datastories">qlik.de/datastories</a>.</p><p> </p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/dear-data-with-giorgia-lupi-and-stefanie-posavec-ds64/">64 | "Dear Data" with Giorgia Lupi and Stefanie Posavec</a> </li> <li> <a href="http://datastori.es/69-data-visualization-literacy-with-jeremy-boy-helen-kennedy-and-andy-kirk/">69 | Data Visualization Literacy with Jeremy Boy, Helen Kennedy and Andy Kirk</a> </li> </ul>"" | |||||||||||||||||||
15 | 86 | Fri, 11 Nov 2016 00:39:54 +0000 | 86 | Highlights from IEEE VIS’16 with Jessica Hullman and Robert Kosara | Conference | 1 | F | 1:11:23 | http://datastori.es/86-highlights-from-ieee-vis16-with-jessica-hullman-and-robert-kosara/ | http://datastori.es/podlove/file/3256/s/feed/c/podcast/86-highlights-from-ieee-vis16-with-jessica-hullman-and-robert-kosara.m4a | 00:00:19.652: Introduction | 00:00:39.318: Introducing Robert Kosara | 00:00:50.841: Introducing Jessica Hullman | 00:01:50.248: Workshop: Innovations in the Pedagogy of Data Vis | 00:04:09.645: Workshop: C4PGV | 00:06:03.805: Enrico's keynote, BELIV | 00:08:55.854: Jessica Hullman's talk | 00:09:40.365: Robert Kosara's talk | 00:13:49.588: Panel on "On the Future of Evaluation and BELIV" | 00:16:16.370: Ricardo Hausmann's keynote | 00:19:02.046: Best Paper Award: Vega-Lite | 00:23:10.287: Presentation on HindSight | 00:25:12.091: Presentation on Visualization by Demonstration | 00:26:21.831: Presentation on The Attraction Effect in Info Vis | 00:29:10.861: Honorable Mention: Map LineUps | 00:31:22.261: Presentation on TextTile | 00:34:12.777: Presentation on PROACT | 00:36:15.268: Presentation on WeightLifter | 00:38:31.527: Panel: On the Death of Scientific Visualization | 00:47:16.612: Presentation on Evaluating the Impact of Binning 2D Scalar Fields | 00:51:08.967: Presentation on the Elicitation Interview Technique | 00:53:00.952: Presentation on InfoVis and Storytelling | 00:53:56.965: Presentation on Iteration Between Tools | 00:55:12.566: Presentation on Data-Driven Guides | 00:57:22.038: Presentation on Colorgorical | 00:59:13.819: Time Series: Surprise! Bayesian Weighting for De-Biasing Thematic Maps | 01:02:54.586: Major trends | 01:08:15.232: VIS 16 Parties | 01:10:12.757: Rate us and get in touch! | | 29 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/3257/s/download/c/buttonlist/86-highlights-from-ieee-vis16-with-jessica-hullman-and-robert-kosara.mp3">MP3 Audio<span class="size">65 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/3256/s/download/c/buttonlist/86-highlights-from-ieee-vis16-with-jessica-hullman-and-robert-kosara.m4a">MPEG-4 AAC Audio<span class="size">51 MB</span></a> </li> </ul><div style="clear: both"></div><p>In this episode, Jessica Hullman and Robert Kosara join Enrico at <a href="http://ieeevis.org/">IEEE VIS’16</a> to discuss highlights from the conference, including noteworthy presentations, papers, panels, workshops, and overall major trends.</p><p><a href="http://datastori.es/wp-content/uploads/2016/11/empire-built-on-sand.jpg"><img data-attachment-id="2132" data-permalink="http://datastori.es/86-highlights-from-ieee-vis16-with-jessica-hullman-and-robert-kosara/empire-built-on-sand/" data-orig-file="http://datastori.es/wp-content/uploads/2016/11/empire-built-on-sand.jpg" data-orig-size="1000,700" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="empire-built-on-sand" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/11/empire-built-on-sand-300x210.jpg" data-large-file="http://datastori.es/wp-content/uploads/2016/11/empire-built-on-sand.jpg" class="alignnone wp-image-2132" src="http://datastori.es/wp-content/uploads/2016/11/empire-built-on-sand.jpg" alt="empire-built-on-sand" width="570" height="399" srcset="http://datastori.es/wp-content/uploads/2016/11/empire-built-on-sand.jpg 1000w, http://datastori.es/wp-content/uploads/2016/11/empire-built-on-sand-300x210.jpg 300w, http://datastori.es/wp-content/uploads/2016/11/empire-built-on-sand-768x538.jpg 768w" sizes="(max-width: 570px) 100vw, 570px" /></a><a href="http://datastori.es/wp-content/uploads/2016/11/empire-built-on-sand.jpg"><br /><em>(From Robert Kosara’s talk “Empire built on sand”)</em><br /></a></p><p><a href="http://datastori.es/wp-content/uploads/2016/11/Screen-Shot-2016-11-09-at-11.35.57-PM.png"><img data-attachment-id="2133" data-permalink="http://datastori.es/86-highlights-from-ieee-vis16-with-jessica-hullman-and-robert-kosara/screen-shot-2016-11-09-at-11-35-57-pm/" data-orig-file="http://datastori.es/wp-content/uploads/2016/11/Screen-Shot-2016-11-09-at-11.35.57-PM.png" data-orig-size="1013,410" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="screen-shot-2016-11-09-at-11-35-57-pm" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/11/Screen-Shot-2016-11-09-at-11.35.57-PM-300x121.png" data-large-file="http://datastori.es/wp-content/uploads/2016/11/Screen-Shot-2016-11-09-at-11.35.57-PM.png" class="alignnone size-full wp-image-2133" src="http://datastori.es/wp-content/uploads/2016/11/Screen-Shot-2016-11-09-at-11.35.57-PM.png" alt="screen-shot-2016-11-09-at-11-35-57-pm" width="1013" height="410" srcset="http://datastori.es/wp-content/uploads/2016/11/Screen-Shot-2016-11-09-at-11.35.57-PM.png 1013w, http://datastori.es/wp-content/uploads/2016/11/Screen-Shot-2016-11-09-at-11.35.57-PM-300x121.png 300w, http://datastori.es/wp-content/uploads/2016/11/Screen-Shot-2016-11-09-at-11.35.57-PM-768x311.png 768w" sizes="(max-width: 1013px) 100vw, 1013px" /></a></p><p><em>(From Best Paper recipient, <a href="https://vega.github.io/vega-lite/">Vega-Lite</a>)</em></p><p> </p><p><a href="http://datastori.es/wp-content/uploads/2016/11/Screen-Shot-2016-11-09-at-11.41.30-PM.png"><img data-attachment-id="2134" data-permalink="http://datastori.es/86-highlights-from-ieee-vis16-with-jessica-hullman-and-robert-kosara/screen-shot-2016-11-09-at-11-41-30-pm/" data-orig-file="http://datastori.es/wp-content/uploads/2016/11/Screen-Shot-2016-11-09-at-11.41.30-PM.png" data-orig-size="910,294" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="screen-shot-2016-11-09-at-11-41-30-pm" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/11/Screen-Shot-2016-11-09-at-11.41.30-PM-300x97.png" data-large-file="http://datastori.es/wp-content/uploads/2016/11/Screen-Shot-2016-11-09-at-11.41.30-PM.png" class="alignnone size-full wp-image-2134" src="http://datastori.es/wp-content/uploads/2016/11/Screen-Shot-2016-11-09-at-11.41.30-PM.png" alt="screen-shot-2016-11-09-at-11-41-30-pm" width="910" height="294" srcset="http://datastori.es/wp-content/uploads/2016/11/Screen-Shot-2016-11-09-at-11.41.30-PM.png 910w, http://datastori.es/wp-content/uploads/2016/11/Screen-Shot-2016-11-09-at-11.41.30-PM-300x97.png 300w, http://datastori.es/wp-content/uploads/2016/11/Screen-Shot-2016-11-09-at-11.41.30-PM-768x248.png 768w" sizes="(max-width: 910px) 100vw, 910px" /></a><br /><em>(From presentation, <a href="http://texttile.io/">TextTile</a>)</em></p><p><a href="http://datastori.es/wp-content/uploads/2016/11/Screen-Shot-2016-11-09-at-11.44.16-PM.png"><img data-attachment-id="2135" data-permalink="http://datastori.es/86-highlights-from-ieee-vis16-with-jessica-hullman-and-robert-kosara/screen-shot-2016-11-09-at-11-44-16-pm/" data-orig-file="http://datastori.es/wp-content/uploads/2016/11/Screen-Shot-2016-11-09-at-11.44.16-PM.png" data-orig-size="697,475" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="screen-shot-2016-11-09-at-11-44-16-pm" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/11/Screen-Shot-2016-11-09-at-11.44.16-PM-300x204.png" data-large-file="http://datastori.es/wp-content/uploads/2016/11/Screen-Shot-2016-11-09-at-11.44.16-PM.png" class="alignnone size-full wp-image-2135" src="http://datastori.es/wp-content/uploads/2016/11/Screen-Shot-2016-11-09-at-11.44.16-PM.png" alt="screen-shot-2016-11-09-at-11-44-16-pm" width="697" height="475" srcset="http://datastori.es/wp-content/uploads/2016/11/Screen-Shot-2016-11-09-at-11.44.16-PM.png 697w, http://datastori.es/wp-content/uploads/2016/11/Screen-Shot-2016-11-09-at-11.44.16-PM-300x204.png 300w" sizes="(max-width: 697px) 100vw, 697px" /></a></p><p><em>(From presentation, “<a href="https://www.microsoft.com/en-us/research/wp-content/uploads/2016/10/hanpuku.pdf">Iterating between tools to create and edit visualizations”</a>)</em></p><p> </p><p><b>LINKS</b></p><ul><li style="font-weight: 400;"><a href="http://vgl.cs.usfca.edu/pdvw/2016/"><span style="font-weight: 400;">Pedagogy of Data Visualization</span></a></li><li style="font-weight: 400;"><a href="http://c4pgv.swansea.ac.uk/"><span style="font-weight: 400;">C4PGV Workshop</span></a></li><li style="font-weight: 400;"><a href="http://beliv.cs.univie.ac.at/"><span style="font-weight: 400;">BELIV Workshop</span></a></li><li style="font-weight: 400;"><a href="https://eagereyes.org/papers/an-empire-built-on-sand"><span style="font-weight: 400;">Robert Kosara’s talk “Empire built on sand”</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Enrico’s BELIV keynote [</span><a href="https://drive.google.com/open?id=1epZ5nMDSO3SGIuOYI7xLCTdLeCp1GDzz9YomHcEv-pQ"><span style="font-weight: 400;">slides</span></a><span style="font-weight: 400;">, </span><a href="https://vimeo.com/188858193/4b77e2aa7d"><span style="font-weight: 400;">video</span></a><span style="font-weight: 400;">]</span></li><li style="font-weight: 400;"><a href="https://vega.github.io/vega-lite/"><span style="font-weight: 400;">Vega-Lite</span></a><span style="font-weight: 400;"> (Best Paper)</span></li><li style="font-weight: 400;"><a href="https://github.com/wpivis/hindsight"><span style="font-weight: 400;">HindSight</span></a><span style="font-weight: 400;">: Encouraging Exploration through Direct Encoding of Personal Interaction History</span></li><li style="font-weight: 400;"><a href="http://va.gatech.edu/vbd/"><span style="font-weight: 400;">Visualization by Demonstration</span></a></li><li style="font-weight: 400;"><a href="https://hal.inria.fr/hal-01355750/document"><span style="font-weight: 400;">Attraction-Effect in Information Visualization</span></a></li><li style="font-weight: 400;"><a href="https://github.com/rogerbeecham/map-lineups"><span style="font-weight: 400;">Map LineUps</span></a><span style="font-weight: 400;"> (Honorable Mention)</span></li><li style="font-weight: 400;"><a href="http://texttile.io/"><span style="font-weight: 400;">TextTile</span></a><span style="font-weight: 400;"> (text visualization tool from Enrico’s lab)</span></li><li style="font-weight: 400;"><a href="https://www.computer.org/csdl/trans/tg/preprint/07539638-abs.html"><span style="font-weight: 400;">PROACT</span></a><span style="font-weight: 400;">: Iterative Design of a Patient-Centered Visualization for Effective Prostate Cancer Health Risk Communication</span></li><li style="font-weight: 400;"><a href="http://ieeexplore.ieee.org/document/7536133/"><span style="font-weight: 400;">WeightLifter:</span></a><span style="font-weight: 400;"> Visual Weight Space Exploration for Multi-Criteria Decision Making</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Panel: On the Death of Scientific Visualization [</span><a href="https://www.youtube.com/watch?v=-6TmLPPRjqc"><span style="font-weight: 400;">video</span></a><span style="font-weight: 400;">]</span></li><li style="font-weight: 400;"><a href="https://www.cs.utah.edu/~miriah/publications/binning-study.pdf"><span style="font-weight: 400;">Evaluating the Impact of Binning 2D Scalar Fields</span></a></li><li style="font-weight: 400;"><a href="https://www.computer.org/csdl/trans/tg/preprint/07369991.pdf"><span style="font-weight: 400;">The Elicitation Interview Technique: Capturing People’s Experiences of Data Representations </span></a></li><li style="font-weight: 400;"><a href="http://vrl.cs.brown.edu/color"><span style="font-weight: 400;">Colorgorical</span></a><span style="font-weight: 400;"> (color palette generation tool)</span></li><li style="font-weight: 400;"><a href="https://www.microsoft.com/en-us/research/wp-content/uploads/2016/10/hanpuku.pdf"><span style="font-weight: 400;">Iterating between tools to create and edit visualizations</span></a></li><li style="font-weight: 400;"><a href="https://idl.cs.washington.edu/files/2017-SurpriseMaps-InfoVis.pdf"><span style="font-weight: 400;">Surprise! Bayesian Weighting for De-Biasing Thematic Maps</span></a></li></ul> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/data-stories-28-ieee-vis13-highlights-w-robert-kosara/">28 | IEEE VIS'13 Highlights w/ Robert Kosara</a> </li> <li> <a href="http://datastori.es/data-stories-43-ieee-vis14/">43 | IEEE VIS'14</a> </li> <li> <a href="http://datastori.es/vis15-recap-with-robert-kosara-and-johanna-fulda-ds-63/">63 | IEEE VIS’15 Recap with Robert Kosara and Johanna Fulda</a> </li> </ul>"" | |||||||||||||||||||
16 | 85 | Thu, 20 Oct 2016 03:09:55 +0000 | 85 | Machine Bias with Jeff Larson | Project | 1 | M | 0:49:26 | http://datastori.es/85-machine-bias-with-jeff-larson/ | http://datastori.es/podlove/file/3024/s/feed/c/podcast/85-machine-bias-with-jeff-larson.m4a | 00:00:00.059: | | 1 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/3025/s/download/c/buttonlist/85-machine-bias-with-jeff-larson.mp3">MP3 Audio<span class="size">45 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/3024/s/download/c/buttonlist/85-machine-bias-with-jeff-larson.m4a">MPEG-4 AAC Audio<span class="size">35 MB</span></a> </li> </ul><div style="clear: both"></div><figure id="attachment_2096" style="width: 150px" class="wp-caption alignleft"><img data-attachment-id="2096" data-permalink="http://datastori.es/85-machine-bias-with-jeff-larson/propublica-jeff-larsonhttpwww-propublica-org/" data-orig-file="http://datastori.es/wp-content/uploads/2016/09/jeff_larson_IMG_1403.jpg" data-orig-size="3888,2592" data-comments-opened="0" data-image-meta="{"aperture":"8","credit":"Lars Klove","camera":"Canon EOS 40D","caption":"ProPublica - Jeff Larson\rhttp:\/\/www.propublica.org","created_timestamp":"1264176373","copyright":"","focal_length":"35","iso":"500","shutter_speed":"0.01","title":"ProPublica - Jeff Larson\rhttp:\/\/www.propublica.org","orientation":"0"}" data-image-title="ProPublica – Jeff Larsonhttp://www.propublica.org" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/09/jeff_larson_IMG_1403-300x200.jpg" data-large-file="http://datastori.es/wp-content/uploads/2016/09/jeff_larson_IMG_1403-1024x683.jpg" class="size-thumbnail wp-image-2096" src="http://datastori.es/wp-content/uploads/2016/09/jeff_larson_IMG_1403-150x150.jpg" alt="ProPublica - Jeff Larson http://www.propublica.org" width="150" height="150" /><figcaption class="wp-caption-text">ProPublica – Jeff Larson<br />http://www.propublica.org</figcaption></figure><p>On the show this week we have <a href="https://www.propublica.org/site/author/jeff_larson">Jeff Larson</a>, Data Editor at <a href="https://www.propublica.org/">ProPublica</a>, to talk about his team’s recent work on “<a href="https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing">Machine Bias</a>“. Jeff and his colleagues have analyzed the automated scoring decisions made by <a href="https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm">COMPAS</a>, one of the systems American judges use to assess the likelihood that a convicted criminal will re-offend.</p><p>By looking at the COMPAS data, Jeff and his colleagues sought to determine the accuracy of the algorithm and whether it introduces significant biases into the criminal justice system — racial or otherwise. (Their finding: Yes, it seems that it does.)</p><p>On the show we talk about how the software is used by judges, how the ProPublica analysis was carried out, what the team found, and what can be done to improve the situation.</p><p>Jeff also gives us a small preview of other stories his team is working on and how you can go about developing similar projects.</p><p>Enjoy the show!</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p>This episode of Data Stories is sponsored by <a href="http://qlik.com">Qlik</a>, which allows you to explore the hidden relationships within your data that lead to meaningful insights. Take a look at their <a href="http://qlik.com/USPresElection">Presidential Election app</a> to analyze the TV network coverage for every mention of both Donald Trump and Hillary Clinton. And make sure to try out Qlik Sense for free at: <a href="http://qlik.de/datastories">qlik.de/datastories</a>.</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><div style="width: 960px;" class="wp-video"><video class="wp-video-shortcode" id="video-2038-11" width="960" height="720" preload="metadata" controls="controls"><source type="video/mp4" src="http://datastori.es/wp-content/uploads/2016/10/Larson-promo_v2.mp4?_=11" /><a href="http://datastori.es/wp-content/uploads/2016/10/Larson-promo_v2.mp4">http://datastori.es/wp-content/uploads/2016/10/Larson-promo_v2.mp4</a></video></div><p> </p><p><strong>Links</strong></p><ul><li style="font-weight: 400;"><span style="font-weight: 400;">Data analysis on GitHub: </span><a href="https://github.com/propublica/compas-analysis"><span style="font-weight: 400;">https://github.com/propublica/compas-analysis</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Article: “</span><a href="https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing"><span style="font-weight: 400;">Machine Bias</span></a><span style="font-weight: 400;">”</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Article: “</span><a href="https://www.propublica.org/article/discrimination-by-design"><span style="font-weight: 400;">Discrimination By Design</span></a><span style="font-weight: 400;">”</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Article: “</span><a href="https://www.propublica.org/article/propublica-responds-to-companys-critique-of-machine-bias-story"><span style="font-weight: 400;">ProPublica Responds to Company’s Critique of Machine Bias Story</span></a><span style="font-weight: 400;">”</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Article: “</span><a href="https://www.propublica.org/article/technical-response-to-northpointe"><span style="font-weight: 400;">Technical Response to Northpointe</span></a><span style="font-weight: 400;">”</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Article: “</span><a href="https://www.propublica.org/article/what-algorithmic-injustice-looks-like-in-real-life"><span style="font-weight: 400;">What Algorithmic Injustice Looks Like in Real Life</span></a><span style="font-weight: 400;">”</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Article: “</span><a href="https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm"><span style="font-weight: 400;">How We Analyzed the COMPAS Recidivism Algorithm</span></a><span style="font-weight: 400;">”</span></li><li style="font-weight: 400;">Article: “<a href="https://www.propublica.org/article/breaking-the-black-box-how-machines-learn-to-be-racist?word=Clinton">How Machines Learn to Be Racist</a>“</li><li style="font-weight: 400;">Workshop: <a href="http://www.fatml.org/"><span style="font-weight: 400;">FAT ML 2016: Fairness, Accountability, and Transparency in Machine Learning</span></a></li></ul> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/data-stories-27-big-data-skepticism-w-kate-crawford/">27 | Big Data Skepticism w/ Kate Crawford</a> </li> <li> <a href="http://datastori.es/data-stories-49-data-journalism-at-propublica-w-scott-klein/">49 | Data Journalism at ProPublica w/ Scott Klein</a> </li> <li> <a href="http://datastori.es/97-calling-bullshit-with-carl-bergstrom-and-jevin-west/">97 | Calling Bullshit with Carl Bergstrom and Jevin West</a> </li> </ul>"" | |||||||||||||||||||
17 | 84 | Thu, 06 Oct 2016 02:43:36 +0000 | 84 | Statistical Numbing with Paul Slovic | Chat | 1 | M | 0:56:48 | http://datastori.es/84-statistical-numbing-with-paul-slovic/ | http://datastori.es/podlove/file/3143/s/feed/c/podcast/84-statistical-numbing-with-paul-slovic.m4a | 00:00:15.713: Our sponsor: FreshBooks | 00:01:14.425: Welcome back to Data Stories! | 00:02:21.042: Introducing Professor Paul Slovic | 00:02:59.616: Introducing statistical numbing, genocide neglect, and the "Arithmetic of Compassion" | 00:11:40.443: Psychic numbing and the connection to human compassion | 00:18:23.560: Our sponsor: FreshBooks | 00:20:05.124: Denial and the "Collapse of Compassion" | 00:29:52.816: "The Warm Glow": Why people donate to charitable causes | 00:35:00.988: Can we use this research to demotivate terrorists? | 00:37:56.732: How to process and frame numbers with more compassion | 00:53:00.354: Prof. Paul Slovic's new book "Numbers and Nerves" | 00:55:03.050: Rate us and get in touch! | 00:56:15.900: Our sponsor: FreshBooks > | | 13 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/3144/s/download/c/buttonlist/84-statistical-numbing-with-paul-slovic.mp3">MP3 Audio<span class="size">52 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/3143/s/download/c/buttonlist/84-statistical-numbing-with-paul-slovic.m4a">MPEG-4 AAC Audio<span class="size">41 MB</span></a> </li> </ul><div style="clear: both"></div><p><img data-attachment-id="2099" data-permalink="http://datastori.es/84-statistical-numbing-with-paul-slovic/paul/" data-orig-file="http://datastori.es/wp-content/uploads/2016/09/Paul.jpg" data-orig-size="614,510" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"1471705992","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"1"}" data-image-title="paul" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/09/Paul-300x249.jpg" data-large-file="http://datastori.es/wp-content/uploads/2016/09/Paul.jpg" class="alignleft size-thumbnail wp-image-2099" src="http://datastori.es/wp-content/uploads/2016/09/Paul-150x150.jpg" alt="paul" width="150" height="150" />We have <a href="http://www.decisionresearch.org/researcher/paul-slovic-ph-d/">Professor Paul Slovic</a> from University of Oregon on the show to talk about “Statistical Numbing.” Professor Slovic is a renowned expert on the effect of numbers and statistics on empathy (or lack thereof). His fascinating, if not depressing, experiments have consistently shown how hard it is for statistics to elicit any sense of scale in human tragedies and how numbers can often even be detrimental if the goal is to elicit compassion and generous actions from an audience.</p><p>On the show, we talk about “Statistical Numbing” and it psychological underpinnings. Professor Slovic also describes his experiments and their implications. And we address one of the most important questions: Is there hope? Is there something we, as practitioners, can do to counteract these negative effects?</p><p>Enjoy this deeply scientific episode and let us know what you think!</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p>This episode of Data Stories is sponsored by <a href="http://freshbooks.com/datastories">FreshBooks</a>, the small business accounting software that makes your accounting tasks easy, fast and secure. FreshBooks is offering a month of free unrestricted use to all of our listeners. To claim your free month of FreshBooks, go to <a href="http://freshbooks.com/datastories">http://freshbooks.com/datastories</a> and sign up for free without the use of a credit card. Note: Remember to enter “Data Stories” in the section titled “I heard about FreshBooks from…”</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><div style="width: 960px;" class="wp-video"><video class="wp-video-shortcode" id="video-2080-12" width="960" height="720" preload="metadata" controls="controls"><source type="video/mp4" src="http://datastori.es/wp-content/uploads/2016/10/Paul-Slovic-promo.mp4?_=12" /><a href="http://datastori.es/wp-content/uploads/2016/10/Paul-Slovic-promo.mp4">http://datastori.es/wp-content/uploads/2016/10/Paul-Slovic-promo.mp4</a></video></div><p> </p><p> </p><p>LINKS</p><ul><li style="font-weight: 400;"><span style="font-weight: 400;">Prof. Paul Slovic’s <a href="http://www.decisionresearch.org/researcher/paul-slovic-ph-d/">homepage</a></span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Prof. Slovic’s Latest Book: “</span><a href="http://www.osupress.oregonstate.edu/book/numbers-and-nerves"><span style="font-weight: 400;">Numbers and Nerves</span></a><span style="font-weight: 400;">”</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Paper: </span><a href="http://journal.sjdm.org/7303a/jdm7303a.htm"><span style="font-weight: 400;">“If I look at the mass I will never act”: Psychic numbing and genocide</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">NYT Article: “</span><a href="http://www.nytimes.com/2015/12/06/opinion/the-arithmetic-of-compassion.html?_r=0"><span style="font-weight: 400;">The Arithmetic of Compassion</span></a><span style="font-weight: 400;">”</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Wikipedia Page on </span><a href="https://en.wikipedia.org/wiki/Psychic_numbing"><span style="font-weight: 400;">Psychic Numbing</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Psychology Today: “</span><a href="https://www.psychologytoday.com/blog/how-risky-is-it-really/201108/statistical-numbing-why-millions-can-die-and-we-don-t-care"><span style="font-weight: 400;">Statistical Numbing: Why Millions Can Die and We Don’t Care</span></a><span style="font-weight: 400;">”</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Daniel Kahnemann’s Book: “</span><a href="https://www.amazon.com/Thinking-Fast-Slow-Daniel-Kahneman/dp/0374533555"><span style="font-weight: 400;">Thinking, Fast and Slow</span></a><span style="font-weight: 400;">”</span></li><li style="font-weight: 400;"><a href="https://en.wikipedia.org/wiki/Weber%E2%80%93Fechner_law "><span style="font-weight: 400;">Weber’s Law</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">James Andreoni’s </span><span style="font-weight: 400;"><a href="https://en.wikipedia.org/wiki/Warm-glow_giving ">Warm-Glow Giving</a></span></li><li style="font-weight: 400;">xkcd: “<a href="http://xkcd.com/1732/"><span style="font-weight: 400;">A Timeline of Earth’s Average Temperature</span></a><span style="font-weight: 400;">”</span></li></ul>"" | |||||||||||||||||||
18 | 83 | Thu, 22 Sep 2016 01:48:41 +0000 | 83 | Olympic Feathers with Nadieh Bremer | Project | 1 | F | 0:30:43 | http://datastori.es/83-olympic-feathers-with-nadieh-bremer/ | http://datastori.es/podlove/file/3107/s/feed/c/podcast/83-olympic-feathers-with-nadieh-bremer.m4a | 00:00:10.898: Our sponsor: FreshBooks | 00:01:09.363: Welcome from Moritz and Enrico | 00:01:20.452: Introducing Nadieh Bremer | 00:02:58.052: The Olympic Feathers project | 00:04:59.927: The origins of Olympic Feathers | 00:07:07.435: The research process | 00:09:05.972: Processing this data set | 00:11:47.775: Insights from the project | 00:13:49.750: Our sponsor: FreshBooks | 00:15:27.338: The design process | 00:18:38.419: Nadieh's progression of ideas on Github | 00:20:07.595: Nadieh's tech approach | 00:21:31.989: Nadieh's advice for listeners | 00:24:02.470: Audience reception of the project | 00:26:05.361: Moritz admits his resistance to circular shapes | 00:28:57.063: Rate us and get in touch | 00:30:09.843: Our sponsor: FreshBooks | | 17 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/3105/s/download/c/buttonlist/83-olympic-feathers-with-nadieh-bremer.mp3">MP3 Audio<span class="size">28 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/3107/s/download/c/buttonlist/83-olympic-feathers-with-nadieh-bremer.m4a">MPEG-4 AAC Audio<span class="size">22 MB</span></a> </li> </ul><div style="clear: both"></div><p><img data-attachment-id="2073" data-permalink="http://datastori.es/83-olympic-feathers-with-nadieh-bremer/headshot-nbremer-3/" data-orig-file="http://datastori.es/wp-content/uploads/2016/09/Headshot-NBremer-3.jpg" data-orig-size="3080,3080" data-comments-opened="0" data-image-meta="{"aperture":"10","credit":"","camera":"Canon PowerShot G5 X","caption":"","created_timestamp":"1454866653","copyright":"","focal_length":"8.8","iso":"200","shutter_speed":"0.04","title":"","orientation":"1"}" data-image-title="headshot-nbremer-3" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/09/Headshot-NBremer-3-300x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2016/09/Headshot-NBremer-3-1024x1024.jpg" class="alignleft size-thumbnail wp-image-2073" src="http://datastori.es/wp-content/uploads/2016/09/Headshot-NBremer-3-150x150.jpg" alt="headshot-nbremer-3" width="150" height="150" srcset="http://datastori.es/wp-content/uploads/2016/09/Headshot-NBremer-3-150x150.jpg 150w, http://datastori.es/wp-content/uploads/2016/09/Headshot-NBremer-3-300x300.jpg 300w, http://datastori.es/wp-content/uploads/2016/09/Headshot-NBremer-3-768x768.jpg 768w, http://datastori.es/wp-content/uploads/2016/09/Headshot-NBremer-3-1024x1024.jpg 1024w" sizes="(max-width: 150px) 100vw, 150px" />We have <a href="http://www.visualcinnamon.com/">Nadieh Bremer</a> (a.k.a <a href="http://www.visualcinnamon.com/">Visual Cinnamon</a>) on the show to talk about her latest project, <a href="http://www.visualcinnamon.com/portfolio/olympic-feathers">Olympic Feathers</a>, an interactive data visualization that shows the history of olympic medals from 1896 until today. The graphics depict how medals have been distributed by discipline, country, gender and geography, and also provides interesting insights into the evolution of Olympic disciplines over time. Take a look at the images below to get a sense of the visuals before listening to the episode!</p><p>Enjoy the show!</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p>This episode of Data Stories is sponsored by <a href="http://freshbooks.com/datastories">FreshBooks</a>, the small business accounting software that makes your accounting tasks easy, fast and secure. FreshBooks is offering a month of free unrestricted use to all of our listeners. To claim your free month of FreshBooks, go to <a href="http://freshbooks.com/datastories">http://freshbooks.com/datastories</a> and sign up for free without the use of a credit card. Note: remember to enter “Data Stories” in the section titled “I heard about FreshBooks from…”</p><p><img data-attachment-id="2070" data-permalink="http://datastori.es/83-olympic-feathers-with-nadieh-bremer/olympic_feathers_through_screenshots/" data-orig-file="http://datastori.es/wp-content/uploads/2016/09/olympic_feathers_through_screenshots.gif" data-orig-size="1920,1080" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="olympic_feathers_through_screenshots" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/09/olympic_feathers_through_screenshots-300x169.gif" data-large-file="http://datastori.es/wp-content/uploads/2016/09/olympic_feathers_through_screenshots-1024x576.gif" class="wp-image-2070 size-large aligncenter" src="http://datastori.es/wp-content/uploads/2016/09/olympic_feathers_through_screenshots-1024x576.gif" alt="olympic_feathers_through_screenshots" width="960" height="540" srcset="http://datastori.es/wp-content/uploads/2016/09/olympic_feathers_through_screenshots-1024x576.gif 1024w, http://datastori.es/wp-content/uploads/2016/09/olympic_feathers_through_screenshots-300x169.gif 300w, http://datastori.es/wp-content/uploads/2016/09/olympic_feathers_through_screenshots-768x432.gif 768w" sizes="(max-width: 960px) 100vw, 960px" /></p><p> </p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p>LINKS</p><ul><li style="font-weight: 400;"><a href="http://www.visualcinnamon.com/"><span style="font-weight: 400;">Nadieh Bremer</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Project: </span><a href="http://www.visualcinnamon.com/portfolio/olympic-feathers https://nbremer.github.io/olympicfeathers/"><span style="font-weight: 400;">Olympic Feathers</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Olympic Feathers: </span><a href="http://www.visualcinnamon.com/portfolio/olympic-feathers"><span style="font-weight: 400;">project web page </span></a><span style="font-weight: 400;">| </span><a href="https://nbremer.github.io/olympicfeathers/ "><span style="font-weight: 400;">github page with code</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Animated GIF showing </span><span style="font-weight: 400;"><a href="https://github.com/nbremer/olympicfeathers/tree/gh-pages">the different stages of the project</a></span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Data Sketches – </span><a href="http://datasketch.es/"><span style="font-weight: 400;">http://datasketch.es/</span></a><span style="font-weight: 400;"> (12-month collaboration with </span><a href="http://sxywu.com/"><span style="font-weight: 400;">Shirley Wu</span></a><span style="font-weight: 400;">)</span></li></ul> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/73-kim-albrecht-on-untangling-tennis-and-the-cosmic-web/">73 | Kim Albrecht on Untangling Tennis and the Cosmic Web</a> </li> <li> <a href="http://datastori.es/98-data-sketches-with-nadieh-bremer-and-shirley-wu/">98 | Data Sketches with Nadieh Bremer and Shirley Wu</a> </li> </ul>"" | |||||||||||||||||||
19 | 82 | Thu, 08 Sep 2016 02:01:55 +0000 | 82 | Information+ Conference Review | Conference | NA | NA | 0:52:35 | http://datastori.es/82-information-plus-review/ | http://datastori.es/podlove/file/2884/s/feed/c/podcast/81-information-review.m4a | 00:00:04.704: Our sponsor: FreshBooks | 00:01:02.818: Hello from Moritz and Enrico | 00:01:20.089: A new format! | 00:04:18.989: Introducing Catherine D'Ignazio's talk on data visualization literacy | 00:04:56.883: Catherine D'Ignazio on "Creative Data Literacy: Bridging the Gap Between the Data Haves and Have-nots" | 00:13:09.362: Reflections on Catherine D'Ignazio's talk | 00:20:04.734: Introducing Karen Cheng's talk on visual design | 00:20:39.831: Karen Cheng's "Proving the Value of Visual Design in Scientific Communication" | 00:26:51.338: Reflections on Karen Cheng's talk | 00:33:53.237: Our sponsor: FreshBooks | 00:35:43.907: Introducing Michele Mauri's talk on images in Wikipedia | 00:36:23.091: Michele Mauri's "Why Designers Should Care about Wikipedia" | 00:44:57.654: Reflections on Michele Mauri's talk | 00:50:23.259: Let us know how you like our experiment! | 00:50:49.753: Rate us and get in touch! | 00:52:02.580: Our sponsor: FreshBooks | | 16 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/2886/s/download/c/buttonlist/81-information-review.mp3">MP3 Audio<span class="size">48 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/2884/s/download/c/buttonlist/81-information-review.m4a">MPEG-4 AAC Audio<span class="size">37 MB</span></a> </li> </ul><div style="clear: both"></div><p><img data-attachment-id="2050" data-permalink="http://datastori.es/82-information-plus-review/epi-title-info/" data-orig-file="http://datastori.es/wp-content/uploads/2016/09/epi-title-info.png" data-orig-size="1400,1400" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="epi-title-info+" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/09/epi-title-info-300x300.png" data-large-file="http://datastori.es/wp-content/uploads/2016/09/epi-title-info-1024x1024.png" class="alignleft size-thumbnail wp-image-2050" src="http://datastori.es/wp-content/uploads/2016/09/epi-title-info-150x150.png" alt="epi-title-info+" width="150" height="150" srcset="http://datastori.es/wp-content/uploads/2016/09/epi-title-info-150x150.png 150w, http://datastori.es/wp-content/uploads/2016/09/epi-title-info-300x300.png 300w, http://datastori.es/wp-content/uploads/2016/09/epi-title-info-768x768.png 768w, http://datastori.es/wp-content/uploads/2016/09/epi-title-info-1024x1024.png 1024w, http://datastori.es/wp-content/uploads/2016/09/epi-title-info.png 1400w" sizes="(max-width: 150px) 100vw, 150px" />Hey! Welcome back from summer vacation! We start the new season with an experiment. In this episode, we review three talks that were given at the <a href="http://www.informationplusconference.com/">Information Plus Conference</a>. The Conference took place from June 16 -18 in Vancouver, Canada, and featured a whole array of amazing speakers.</p><p>For our review we selected three talks:</p><ol><li><a href="https://civic.mit.edu/users/kanarinka">Catherine D’Ignazio</a> on “<a href="https://vimeo.com/181697718">Creative Data Literacy: Bridging the Gap Between the Data Haves and Have-nots</a>.”</li><li><a href="https://art.washington.edu/people/karen-cheng">Karen Cheng</a> on “<a href="https://vimeo.com/181771433">Proving the Value of Visual Design in Scientific Communication</a>.”</li><li><a href="http://www.densitydesign.org/person/michele-mauri/">Michele Mauri</a> on “<a href="https://vimeo.com/179975156">Why Designers Should Care about Wikipedia</a>.”</li></ol><p>Listen here for selections from each presentation, plus our comments and reflections on each talk.</p><p>And let us know how you like this new format! We may be able to repeat it again in the future.</p><p>Special thanks to our amazing producer <a href="http://destrysibley.com/">Destry Sibley</a>, who curated the selection of talks and created the snippets for this episode. And many thanks to <a href="http://isabelmeirelles.com/">Isabel Meirelles</a> and the Information Plus team for making the material available to us.</p><p>Enjoy the show!</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p>This episode of Data Stories is sponsored by <a href="http://freshbooks.com/datastories">FreshBooks</a>, the small business accounting software that makes your accounting tasks easy, fast and secure. FreshBooks is offering a month of free unrestricted use to all of our listeners. To claim your free month of FreshBooks, go to <a href="http://freshbooks.com/datastories">http://freshbooks.com/datastories</a> and sign up for free and without the use of a credit card. Note: remember to enter “Data Stories” in the section titled “I heard about FreshBooks from…”</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p>Links</p><ul><li><a href="http://www.informationplusconference.com/">Information Plus Conference</a></li><li><a href="https://civic.mit.edu/users/kanarinka">Catherine D’Ignazio</a></li><li><a href="https://art.washington.edu/people/karen-cheng">Karen Cheng</a></li><li><a href="http://www.densitydesign.org/person/michele-mauri/">Michele Mauri</a></li><li><a href="https://www.databasic.io/en/">Databasic.io</a> (intro to working with data)</li><li>Dayne Batten’s Blog: “<span style="font-weight: 400;"><a href="http://daynebatten.com/2016/06/counting-hard-data-science/">3 reasons Counting is the Hardest thing in Data Science</a>“</span></li><li>Book “<a href="http://www.cornellpress.cornell.edu/book/?GCOI=80140100939320">Poor Numbers</a>“</li><li>Book: “<a href="https://www.felicefrankel.com/felice-frankel-book/visual-strategies/">Visual Strategies</a>” by Felice Frankel</li><li>Bang Wong’s Nature Column “<a href="http://clearscience.info/wp/?p=546">Points of View</a>“</li><li><a href="http://gravyanecdote.com/">Andy Cotgreave</a>‘s <a href="http://www.vizwiz.com/p/makeover-monday-challenges.html">Makeover Monday Challenges</a></li><li><a href="http://policyviz.com/">Jon Schwabish</a>‘s <a href="http://helpmeviz.com/">HelpMeViz</a></li></ul><p>Full presentations</p><p><iframe src="https://player.vimeo.com/video/181697718" width="960" height="540" frameborder="0" title="Catherine D'Ignazio" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe></p><p><iframe src="https://player.vimeo.com/video/181771433" width="960" height="540" frameborder="0" title="Karen Cheng" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe></p><p><iframe src="https://player.vimeo.com/video/179975156" width="960" height="540" frameborder="0" title="Michele Mauri" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe></p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/ds-52-science-communication-w-jen-christiansen/">52 | Science Communication at SciAm w/ Jen Christiansen</a> </li> <li> <a href="http://datastori.es/69-data-visualization-literacy-with-jeremy-boy-helen-kennedy-and-andy-kirk/">69 | Data Visualization Literacy with Jeremy Boy, Helen Kennedy and Andy Kirk</a> </li> <li> <a href="http://datastori.es/71-tapestry-conference-review-with-robert-kosara/">71 | Tapestry Conference Review with Robert Kosara</a> </li> <li> <a href="http://datastori.es/76-bocoup-and-openvis-conference/">76 | Bocoup and OpenVis Conference</a> </li> <li> <a href="http://datastori.es/79-information-design-with-isabel-meirelles/">79 | Information Design with Isabel Meirelles</a> </li> </ul>"" | |||||||||||||||||||
20 | 81 | Thu, 25 Aug 2016 13:44:18 +0000 | 81 | The Hustle with Mahir Yavuz and Jan Willem Tulp | Chat | 2 | M | 0:51:24 | http://datastori.es/81-the-hustle-with-mahir-yavuz-and-jan-willem-tulp/ | http://datastori.es/podlove/file/3001/s/feed/c/podcast/81-freelance-or-company-with-mahir-yavuz-and-jan-willem-tulp.m4a | 00:00:08.167: Our sponsor: Qlik | 00:00:49.849: Welcome from Moritz | 00:01:33.869: Introducing Jan Willem Tulp and Mahir Yavuz | 00:02:47.001: The kinds of projects Jan and Mahir do | 00:08:24.489: Choosing projects | 00:13:29.640: Deciding what to charge...and getting paid | 00:25:08.977: Our sponsor: Qlik | 00:26:44.609: Client challenges: The Data Will Come Soon Syndrome | 00:32:21.451: Client challenges: Unreasonable requests | 00:35:18.625: The possibilities for self-commissioned work | 00:44:02.103: Advantages of freelancing versus agency work | 00:47:09.644: Advice for practitioners new to the field | 00:49:49.736: Rate us and get in touch | 00:51:02.547: Our sponsor: Qlik | | 14 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/2999/s/download/c/buttonlist/81-freelance-or-company-with-mahir-yavuz-and-jan-willem-tulp.mp3">MP3 Audio<span class="size">47 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/3001/s/download/c/buttonlist/81-freelance-or-company-with-mahir-yavuz-and-jan-willem-tulp.m4a">MPEG-4 AAC Audio<span class="size">36 MB</span></a> </li> </ul><div style="clear: both"></div><p><img data-attachment-id="2032" data-permalink="http://datastori.es/81-the-hustle-with-mahir-yavuz-and-jan-willem-tulp/mahir/" data-orig-file="http://datastori.es/wp-content/uploads/2016/08/Mahir.jpg" data-orig-size="1600,1067" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="Mahir" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/08/Mahir-300x200.jpg" data-large-file="http://datastori.es/wp-content/uploads/2016/08/Mahir-1024x683.jpg" class="alignleft size-thumbnail wp-image-2032" src="http://datastori.es/wp-content/uploads/2016/08/Mahir-150x150.jpg" alt="Mahir" width="150" height="150" /><img data-attachment-id="2031" data-permalink="http://datastori.es/81-the-hustle-with-mahir-yavuz-and-jan-willem-tulp/portrait_bw/" data-orig-file="http://datastori.es/wp-content/uploads/2016/08/portrait_BW.jpg" data-orig-size="1736,1428" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="Jan Willem Tulp" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/08/portrait_BW-300x247.jpg" data-large-file="http://datastori.es/wp-content/uploads/2016/08/portrait_BW-1024x842.jpg" class="alignleft size-thumbnail wp-image-2031" src="http://datastori.es/wp-content/uploads/2016/08/portrait_BW-150x150.jpg" alt="Jan Willem Tulp" width="150" height="150" /></p><p>This week we have <a href="http://mahir.nyc/">Mahir Yavuz</a> and <a href="http://www.janwillemtulp.com/">Jan Willem Tulp</a> on the show to talk about navigating the business side of data visualization. Mahir is Creative Director of Data Science and Visualization at <a href="https://www.rga.com/capabilities/data-visualization">R/GA</a> and Jan Willem is a data visualization freelancer and founder of <a href="http://tulpinteractive.com/">Tulp Interactive</a>.</p><p>“<em>How do you choose which projects to work on? How do you actually get paid for them? How do you deal with ‘The Data Will Come Soon’ syndrome? And what do you do with unreasonable requests from clients?</em>”</p><p>We talk about these and other issues. This is a perfect episode for those of you who want to figure out how to make a living from data visualization.</p><p>Enjoy the show!</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p>This episode of Data Stories is sponsored by <a href="http://qlik.com">Qlik</a>, which allows you to explore the hidden relationships within your data that lead to meaningful insights. Qlik has partnered with Circle of Blue to visualize seven years of water rates data from 30 major U.S. cities. Check out the analyses and charts at the <a href="http://www.circleofblue.org/waterpricing/">Circle of Blue blog</a>. And make sure to try out Qlik Sense for free at: <a href="http://qlik.de/datastories">qlik.de/datastories</a>.</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p>LINKS</p><ul><li><a href="http://fellinlovewithdata.com/interviews/data-visualization-freelancin">How to Become a Data Visualization Freelancer</a> (The 2011 interview between Enrico and Moritz that pretty much gave birth to this podcast!)</li><li><a href="http://tulpinteractive.com">Tulp Interactive</a></li><li><a href="https://www.rga.com/capabilities/data-visualization">Data Visualization at R/GA</a></li><li><a href="http://mahir.nyc/">Mahir Yavuz’s website</a></li><li>Jan on <a href="https://twitter.com/JanWillemTulp">Twitter</a>, <a href="https://www.pinterest.com/janwillemtulp/">Pinterest</a>, and <a href="http://tinyletter.com/tulpinteractive">TinyLetter</a></li><li>Mahir on <a href="https://twitter.com/mahir_nyc">Twitter</a> and <a href="https://www.linkedin.com/in/mahirmyavuz">LinkedIn</a></li></ul> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/episode-9-bridging-academia-and-industry-with-danyel-fisher/">9 | Bridging academia and industry with Danyel Fisher</a> </li> <li> <a href="http://datastori.es/data-stories-23-inspiration-or-plagiarism/">23 | Inspiration or Plagiarism? w/ Bryan Connor and Mahir Yavuz</a> </li> <li> <a href="http://datastori.es/data-stories-48-vis-going-mainstream-w-stamens-ceo-eric-rodenbeck/">48 | Vis Going Mainstream w/ Stamen's CEO Eric Rodenbeck</a> </li> <li> <a href="http://datastori.es/90-brendan-dawes/">90 | Beyond the Chart with Brendan Dawes</a> </li> <li> <a href="http://datastori.es/95-challenges-of-being-a-vis-professional-in-industry-with-elijah-meeks/">95 | Challenges of Being a Vis Professional in Industry with Elijah Meeks</a> </li> </ul>"" | |||||||||||||||||||
21 | 80 | Wed, 10 Aug 2016 18:47:52 +0000 | 80 | Indexical Visualization with Dietmar Offenhuber | Chat | 1 | M | 0:40:33 | http://datastori.es/80-indexical-visualization-with-dietmar-offenhuber/ | http://datastori.es/podlove/file/2873/s/feed/c/podcast/80-dietmar-offenhuber.m4a | 00:00:14.055: Our sponsor: Tableau | 00:01:01.368: Presenting our new theme music | 00:02:09.107: Enrico and Moritz catch up on their summer | 00:03:01.594: Re-Introducing Dietmar Offenhuber | 00:03:45.823: What is Indexical Visualization? | 00:06:58.277: Smoke, thermometers, and dust masks traces that make hidden realities visible | 00:09:03.461: Limits to indexical visualizations: the problem of specificity | 00:12:22.765: Scaling the distance between physical reality and its visualization | 00:13:58.853: How we read symbolic visualizations | 00:15:21.667: The difference between data visualization and indexical visualization | 00:17:47.222: Our sponsor: Tableau | 00:21:56.013: Abstraction and lost emotional impact | 00:30:43.550: How to get started with indexical visualization | 00:34:17.846: Examples of indexical visualization from past Data Stories episodes | 00:38:51.978: Rate us and get in touch | 00:40:04.828: Our sponsor: Tableau | | 16 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/2877/s/download/c/buttonlist/80-dietmar-offenhuber.mp3">MP3 Audio<span class="size">37 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/2873/s/download/c/buttonlist/80-dietmar-offenhuber.m4a">MPEG-4 AAC Audio<span class="size">29 MB</span></a> </li> </ul><div style="clear: both"></div><p><img data-attachment-id="1996" data-permalink="http://datastori.es/80-indexical-visualization-with-dietmar-offenhuber/dietmar-offenhuber-2/" data-orig-file="http://datastori.es/wp-content/uploads/2016/07/dietmar-offenhuber-Dietmar.jpg" data-orig-size="4256,2832" data-comments-opened="0" data-image-meta="{"aperture":"1.8","credit":"Canaday, Brooks","camera":"NIKON D3S","caption":"August 28, 2013 - Dietmar Offenhuber, a new faculty member in the College of Arts, Media and Design and the College of Social Sciences and Humanities, specializes in visualization and information design.","created_timestamp":"1377720805","copyright":"Copyright Northeastern University 2013","focal_length":"85","iso":"160","shutter_speed":"0.0125","title":"Dietmar Offenhuber","orientation":"0"}" data-image-title="Dietmar Offenhuber" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/07/dietmar-offenhuber-Dietmar-300x200.jpg" data-large-file="http://datastori.es/wp-content/uploads/2016/07/dietmar-offenhuber-Dietmar-1024x681.jpg" class="size-thumbnail wp-image-1996 alignleft" src="http://datastori.es/wp-content/uploads/2016/07/dietmar-offenhuber-Dietmar-150x150.jpg" alt="August 28, 2013 - Dietmar Offenhuber, a new faculty member in the College of Arts, Media and Design and the College of Social Sciences and Humanities, specializes in visualization and information design." width="150" height="150" /></p><p class="p1">We have <a href="http://offenhuber.net/">Dietmar Offenhuber</a>, Assistant Professor at Northeastern University, on the show <a href="http://datastori.es/data-stories-51-smart-cities-w-dietmar-offenhuber/">again</a> to talk about “<em>Indexical Visualizations</em>”: visualizations that reduce the gap between the recorded phenomenon and its representation.</p><p class="p1">In Dietmar’s words: “<em>If we understand ‘data’ as a collection of symbolically encoded observations, could we think of a display that conveys information—without the symbolic encoding of data—through the object itself?</em>”</p><p class="p1">On the show we talk about strategies to define and build indexical visualizations. Dietmar provides numerous examples, including thermometers, tree rings, petri dishes, and the blinking lights in your router. He also offers tips on experimenting with this kind of visualization and connecting to the indexical vis community.</p><p class="p1">If you enjoy this episode you may also want to listen to our <a href="http://datastori.es/data-stories-51-smart-cities-w-dietmar-offenhuber/">previous episode with Dietmar</a> and to our <a href="http://datastori.es/data-stories-58-domestic-data-streamers/">“data sculptures” episode with Domestic Data Streamers</a>.</p><p class="p1">Enjoy the show!</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p>This episode is sponsored by <a href="http://www.tableau.com/">Tableau</a>. <a href="http://www.tableau.com/">Tableau</a> helps people see and understand their data. <a href="http://www.tableau.com/coming-soon">Tableau 10</a> is the latest version of the company’s rapid fire, easy-to-use visual analytics software. It includes a completely refreshed design, mobile enhancements, new options for preparing, integrating and connecting to data and a host of new enterprise capabilities. You can find more information on the upcoming Tableau 10 <a href="http://www.tableau.com/coming-soon">here</a>.</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p>LINKS</p><ul><li style="font-weight: 400;"><a href="http://www.oddone.de">OddOne</a> (who made our new title music)</li><li style="font-weight: 400;"><span style="font-weight: 400;">Dietmar Offenhuber: </span><a href="http://offenhuber.net/"><span style="font-weight: 400;">http://offenhuber.net/</span></a></li><li style="font-weight: 400;"><a href="https://en.wikipedia.org/wiki/Paul_Slovic"><span style="font-weight: 400;">Paul Slovic</span></a><span style="font-weight: 400;">’s “</span><a href="https://en.wikipedia.org/wiki/Psychic_numbing"><span style="font-weight: 400;">Psychic Numbing</span></a><span style="font-weight: 400;">”</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Example: Kamel Makhloufi’s </span><a href="https://www.pinterest.com/pin/522628731739829045/"><span style="font-weight: 400;">Iraqi casualties</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Example: </span><a href="https://publiclab.org/wiki/hydrogen-sulfide-sensor"><span style="font-weight: 400;">Hydrogen sulfide measurement</span></a></li><li style="font-weight: 400;"><a href="http://www.northeastern.edu/indexical/videos.html"><span style="font-weight: 400;">Documentation from Indexical Design Symposium</span></a></li><li style="font-weight: 400;"><a href="http://shop.gestalten.com/photoviz.html?utm_source=flyer&utm_medium=pp&utm_campaign=campaignall">Photoviz book</a> from Nicolas Felton</li><li style="font-weight: 400;"><span style="font-weight: 400;">Related Data Stories episodes:</span><ul><li style="font-weight: 400;"><a href="http://datastori.es/data-stories-51-smart-cities-w-dietmar-offenhuber/"><span style="font-weight: 400;">DS 51 | Smart Cities w/ Dietmar Offenhuber</span></a></li><li style="font-weight: 400;"><a href="http://datastori.es/data-stories-58-domestic-data-streamers/"><span style="font-weight: 400;">DS 58 | Data Installations w/ Domestic Data Streamers</span></a></li></ul></li><li style="font-weight: 400;"><span style="font-weight: 400;">Book chapter: Offenhuber, Dietmar, and Orkan Telhan. 2015. “</span><a href="https://dl.dropboxusercontent.com/u/823528/Archive/offenhuber_telhan.pdf"><span style="font-weight: 400;">Indexical Visualization—the Data-Less Information Display.</span></a><span style="font-weight: 400;">” In </span><a href="http://ubiquity.dk/"><span style="font-weight: 400;">Ubiquitous Computing, Complexity and Culture</span></a><span style="font-weight: 400;">, edited by Ulrik Ekman, Jay David Bolter, Lily Diaz, Morten Søndergaard, and Maria Engberg, 288–303. New York: Routledge.</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Other examples:</span><ul><li style="font-weight: 400;"><a href="http://web.stanford.edu/dept/astro/dorris/StandingWaves.pdf"><span style="font-weight: 400;">Standing Waves on a String</span></a></li><li style="font-weight: 400;"><a href="http://web.ihep.su/library/pubs/aconf00/tconf00/ps/c6-4.pdf"><span style="font-weight: 400;">Bubble Chamber Representations</span></a></li><li style="font-weight: 400;"><a href="http://www.highres.factum-arte.org/Tutankhamun/"><span style="font-weight: 400;">http://www.highres.factum-arte.org/Tutankhamun/</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Pinterest’s </span><a href="https://www.pinterest.com/dietmaro/indexical-visualization/%20http://www.factum-arte.com/pag/724/It"><span style="font-weight: 400;">collection of indexical visualizations</span></a></li><li style="font-weight: 400;"><a href="https://publiclab.org/wiki/hydrogen-sulfide-sensor"><span style="font-weight: 400;">Hydrogen Sulfide Measurement</span></a></li><li style="font-weight: 400;"><a href="https://www.pinterest.com/pin/522628731731944429/"><span style="font-weight: 400;">Slime Mold</span></a></li><li style="font-weight: 400;"><a href="http://www.paulvanouse.com/lfp.html"><span style="font-weight: 400;">Latent Figure Protocol</span></a></li></ul></li></ul><p> </p><p> </p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/episode17-data-sculptures/">17 | Data Sculptures</a> </li> <li> <a href="http://datastori.es/data-stories-51-smart-cities-w-dietmar-offenhuber/">51 | Smart Cities w/ Dietmar Offenhuber</a> </li> <li> <a href="http://datastori.es/data-stories-58-domestic-data-streamers/">58 | Data Installations w/ Domestic Data Streamers</a> </li> <li> <a href="http://datastori.es/90-brendan-dawes/">90 | Beyond the Chart with Brendan Dawes</a> </li> </ul>"" | |||||||||||||||||||
22 | 79 | Wed, 27 Jul 2016 20:49:14 +0000 | 79 | Information Design with Isabel Meirelles | Chat | 1 | F | 0:53:07 | http://datastori.es/79-information-design-with-isabel-meirelles/ | http://datastori.es/podlove/file/2864/s/feed/c/podcast/79-isabel-meirelles.m4a | 00:00:07.346: Our sponsor: Qlik | 00:00:40.411: Welcome and update from Enrico and Moritz | 00:01:13.687: Introducing Isabel Meirelles | 00:04:24.975: Isabel's movement from architecture to information design | 00:08:42.916: Isabel's Design for Information | 00:12:36.509: The relationship between teaching a course and writing a textbook | 00:15:41.491: Structuring the book by case studies | 00:22:17.780: What's next for Isabel | 00:26:03.081: Our sponsor: Qlik | 00:27:32.613: How the Information+ conference came to be | 00:30:39.379: The topics and demographics of Information+ | 00:49:49.648: The future of the Information+ Conference | 00:51:42.412: Rate us and get in touch! | 00:52:43.890: Our sponsor: Qlik | | 14 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/2863/s/download/c/buttonlist/79-isabel-meirelles.mp3">MP3 Audio<span class="size">49 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/2864/s/download/c/buttonlist/79-isabel-meirelles.m4a">MPEG-4 AAC Audio<span class="size">38 MB</span></a> </li> </ul><div style="clear: both"></div><p><a href="http://isabelmeirelles.com/">Isabel Meirelles</a> is Professor in the Faculty of Design at OCAD University in Toronto, Canada. She is the author of <em><a href="http://isabelmeirelles.com/book-design-for-information/">Design for Information</a></em>, a lovely data visualization book featuring pages of beautiful illustrations and loads of data visualization science. On the show we talk about how Isabel came to write the book, how she designed its content and structure, and how it is now being used for teaching.</p><p>We also talk about <a href="http://informationplusconference.com/">Information Plus</a>, the data visualization conference she co-organized and took place last June in Vancouver, Canada at Emily Carr University. The conference brought together a whole host of amazing speakers and gained tons of attention from the Twitter-sphere.</p><p>Enjoy the show!</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p>This episode of Data Stories is sponsored by <a href="http://qlik.com">Qlik</a>, which allows you to explore the hidden relationships within your data that lead to meaningful insights. Any Formula 1 fans out there? Check out this <a href="http://webapps.qlik.com/formula1/index.html">Qlik Sense app</a> which gives you the history of every race and where each competitor finished. And make sure to try out Qlik Sense for free at: <a href="http://qlik.de/datastories">qlik.de/datastories</a>.</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><div style="width: 960px;" class="wp-video"><video class="wp-video-shortcode" id="video-1960-13" width="960" height="720" preload="metadata" controls="controls"><source type="video/mp4" src="http://datastori.es/wp-content/uploads/2016/07/Isabel-Meirelles-promo_v1.mp4?_=13" /><a href="http://datastori.es/wp-content/uploads/2016/07/Isabel-Meirelles-promo_v1.mp4">http://datastori.es/wp-content/uploads/2016/07/Isabel-Meirelles-promo_v1.mp4</a></video></div><p><strong>Links</strong></p><p><a href="http://isabelmeirelles.com/"><span style="font-weight: 400;">Isabel Meirelles</span></a></p><p><span style="font-weight: 400;">Isabel’s </span><a href="http://isabelmeirelles.com/teaching/information-design/"><span style="font-weight: 400;">Information Design Course</span></a></p><p><span style="font-weight: 400;">Isabel’s Book: </span><em><a href="http://isabelmeirelles.com/book-design-for-information/"><span style="font-weight: 400;">Design for Information</span></a></em></p><p><a href="http://informationplusconference.com/"><span style="font-weight: 400;">Information+ Conference</span></a></p><p><a href="http://www.infovis-wiki.net/index.php/Visual_Information-Seeking_Mantra"><span style="font-weight: 400;">Shneiderman’s Information Seeking Mantra</span></a></p><p><a href="https://www.cs.ubc.ca/labs/imager/tr/2009/NestedModel/NestedModel.pdf"><span style="font-weight: 400;">Tamara Munzner’s Design Studies Process Model</span></a></p><p><span style="font-weight: 400;">Gregor Aisch’s adaptation of Information Seeking Mantra to mobile screens:</span></p><ul><li style="font-weight: 400;"><a href="https://twitter.com/benbendc/status/744060144926003200"><span style="font-weight: 400;">https://twitter.com/benbendc/status/744060144926003200</span></a></li><li style="font-weight: 400;"><a href="https://twitter.com/eagereyes/status/743963279509229568"><span style="font-weight: 400;">https://twitter.com/eagereyes/status/743963279509229568</span></a></li></ul> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/ds37-teaching-visualization-w-scott-murray-and-andy-kirk/">37 | The Challenge of Teaching Visualization w/ Scott Murray and Andy Kirk</a> </li> <li> <a href="http://datastori.es/data-stories-39-densitydesign-w-paolo-ciuccarelli/">39 | DensityDesign w/ Paolo Ciuccarelli</a> </li> <li> <a href="http://datastori.es/76-bocoup-and-openvis-conference/">76 | Bocoup and OpenVis Conference</a> </li> <li> <a href="http://datastori.es/82-information-plus-review/">82 | Information+ Conference Review</a> </li> </ul>"" | |||||||||||||||||||
23 | 78 | Thu, 14 Jul 2016 03:00:23 +0000 | 78 | Mimi Onuoha on Visualizing People’s Lives through Mobile Data | Project | 1 | F | 0:25:40 | http://datastori.es/78-mimi-onuoha-on-visualizing-peoples-lives-through-mobile-data/ | http://datastori.es/podlove/file/2586/s/feed/c/podcast/78-mimi-onuoha.m4a | 00:00:11.405: Our sponsor: Qlik | 00:00:47.324: Greetings from Moritz at the Eyeo Festival | 00:01:06.905: Introducing Mimi Onuoha | 00:02:06.093: Mimi's Pathways project | 00:05:16.891: The Pathways subjects | 00:09:13.419: Our sponsor: Qlik | 00:11:05.600: The final Pathways project | 00:14:17.062: Mimi's design process | 00:16:37.524: Reception to the project -- by the public, and by the subjects | 00:18:44.888: Subject recruitment and how that affected the project | 00:22:04.735: Mimi's current projects: Missing Data Sets | 00:24:15.222: Rate us and get in touch! | 00:25:16.751: Our sponsor: Qlik | | 13 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/2589/s/download/c/buttonlist/78-mimi-onuoha.mp3">MP3 Audio<span class="size">24 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/2586/s/download/c/buttonlist/78-mimi-onuoha.m4a">MPEG-4 AAC Audio<span class="size">18 MB</span></a> </li> </ul><div style="clear: both"></div><p>This week <a href="http://mimionuoha.com/">Mimi Onuoha</a> joins Moritz on the show for a project episode from the <a href="http://eyeofestival.com/">Eyeo Festival</a>. Mimi is a Brooklyn-based artist and researcher, and currently a Fellow at the <a href="http://www.datasociety.net/updates/featured/announcements/2015/03/introducing-2015-2016-fellows-class/">Data & Society Research Institute</a>.</p><p>Mimi is fascinated by the moment when data get collected — by what can be captured in that moment, and what goes unseen. As a <a href="http://voices.nationalgeographic.com/author/monuoha/">Fulbright-National Geographic Fellow</a>, Mimi developed <a href="http://www.nationalgeographic.com/pathways/">Pathways</a>, a data storytelling project on a month’s worth of mobile data from a small group of Londoners. Using a quasi-ethnographic approach, the project reflects not only the individuals’ mobile metadata, but also their experiences becoming data subjects.</p><p>On the show, we discuss Mimi’s process recruiting both friends and strangers to become her data subjects, her experience developing personal relationships with each of them, and <span style="font-size: 2rem; line-height: 1.5;">their reaction to the final product. </span></p><p><img data-attachment-id="1844" data-permalink="http://datastori.es/78-mimi-onuoha-on-visualizing-peoples-lives-through-mobile-data/mimi_square/" data-orig-file="http://datastori.es/wp-content/uploads/2016/06/mimi_square.jpg" data-orig-size="600,600" data-comments-opened="0" data-image-meta="{"aperture":"2.8","credit":"","camera":"Canon EOS 5D Mark II","caption":"","created_timestamp":"1404254219","copyright":"","focal_length":"165","iso":"400","shutter_speed":"0.033333333333333","title":"","orientation":"1"}" data-image-title="mimi_square" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/06/mimi_square-300x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2016/06/mimi_square.jpg" class="alignnone size-thumbnail wp-image-1844" style="font-size: 2rem; line-height: 1.5;" src="http://datastori.es/wp-content/uploads/2016/06/mimi_square-150x150.jpg" alt="mimi_square" width="150" height="150" srcset="http://datastori.es/wp-content/uploads/2016/06/mimi_square-150x150.jpg 150w, http://datastori.es/wp-content/uploads/2016/06/mimi_square-300x300.jpg 300w, http://datastori.es/wp-content/uploads/2016/06/mimi_square.jpg 600w" sizes="(max-width: 150px) 100vw, 150px" /></p><p> </p><div style="width: 960px;" class="wp-video"><video class="wp-video-shortcode" id="video-1843-14" width="960" height="720" preload="metadata" controls="controls"><source type="video/mp4" src="http://datastori.es/wp-content/uploads/2016/07/Mimi-Onuoha-promo.m4v?_=14" /><a href="http://datastori.es/wp-content/uploads/2016/07/Mimi-Onuoha-promo.m4v">http://datastori.es/wp-content/uploads/2016/07/Mimi-Onuoha-promo.m4v</a></video></div><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p>This episode of Data Stories is sponsored by <a href="http://qlik.com">Qlik</a>, which allows you to explore the hidden relationships within your data that lead to meaningful insights. Ever wondered what it costs to live in Singapore or Sydney? Check out the Qlik Sense app “<a href="http://webapps.qlik.com/costofliving-apac/index.html">Cost of Living</a>” to answer that question and many others! And make sure to try out Qlik Sense for free at: <a href="http://qlik.de/datastories">qlik.de/datastories</a>.</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p>LINKS</p><ul><li><a href="http://us.fulbrightonline.org/fulbright-nat-geo-fellowship">Fulbright-National Geographic Fellowship</a></li><li><a href="http://www.datasociety.net/">Data and Society Research Institute</a></li><li style="font-weight: 400;"><a href="https://play.google.com/store/apps/details?id=com.nytco.rnd.OpenPaths&hl=en"><span style="font-weight: 400;">Open Paths</span></a><span style="font-weight: 400;"> app</span></li><li style="font-weight: 400;"><a href="https://www.facebook.com/movesapp"><span style="font-weight: 400;">Moves app</span></a><span style="font-weight: 400;"> owned by Facebook</span></li><li style="font-weight: 400;"><a href="http://lab.hakim.se/reveal-js/"><span style="font-weight: 400;">Reveal.js</span></a><span style="font-weight: 400;"> slideshow software</span></li></ul>"" | |||||||||||||||||||
24 | 77 | Fri, 01 Jul 2016 15:06:47 +0000 | 77 | Polygraph and The Journalist Engineer Matt Daniels | Chat | 1 | M | 0:51:57 | http://datastori.es/77-polygraph-and-the-journalist-engineer-matt-daniels/ | http://datastori.es/podlove/file/2571/s/feed/c/podcast/77-polygraph-and-the-journalist-engineer-matt-daniels.m4a | 00:00:10.480: Our sponsor: CartoDB | 00:00:44.223: Moritz and Enrico catch up | 00:02:47.116: Introducing Matt Daniels from Polygraph | 00:03:41.447: The origins of Polygraph | 00:06:12.610: The Most Timeless Songs of All Time project | 00:09:00.426: Matt's visual design | 00:13:12.431: Spotify's API | 00:15:29.749: The process for creating a project like The Most Timeless Signs of All Time | 00:24:15.465: Our sponsor: CartoDB | 00:25:49.372: Matt's project on The Bechdel Test | 00:31:59.637: The follow-up project: Film Dialogue from 2,000 Screenplays, Broken Down by Gender and Age | 00:44:19.376: The financials behind Matt's work | 00:47:20.113: Stay tuned on Polygraph: Matt's next project | 00:48:47.155: Interested in collaborating with Matt? Get in touch | 00:50:22.717: Rate us and get in touch! | 00:51:24.282: Our sponsor: CartoDB > | | 16 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/2573/s/download/c/buttonlist/77-polygraph-and-the-journalist-engineer-matt-daniels.mp3">MP3 Audio<span class="size">48 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/2571/s/download/c/buttonlist/77-polygraph-and-the-journalist-engineer-matt-daniels.m4a">MPEG-4 AAC Audio<span class="size">37 MB</span></a> </li> </ul><div style="clear: both"></div><p><img data-attachment-id="1937" data-permalink="http://datastori.es/77-polygraph-and-the-journalist-engineer-matt-daniels/matt/" data-orig-file="http://datastori.es/wp-content/uploads/2016/06/matt.jpg" data-orig-size="325,325" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="matt" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/06/matt-300x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2016/06/matt.jpg" class="alignleft size-thumbnail wp-image-1937" src="http://datastori.es/wp-content/uploads/2016/06/matt-150x150.jpg" alt="matt" width="150" height="150" srcset="http://datastori.es/wp-content/uploads/2016/06/matt-150x150.jpg 150w, http://datastori.es/wp-content/uploads/2016/06/matt-300x300.jpg 300w, http://datastori.es/wp-content/uploads/2016/06/matt.jpg 325w" sizes="(max-width: 150px) 100vw, 150px" />We have Matt Daniels on the show, the “<a href="https://medium.com/@matthew_daniels/the-journalist-engineer-c9c1a72b993f#.z4xgjp5kk">journalist engineer</a>” behind <a href="http://polygraph.cool/">Polygraph</a>, a blog featuring beautiful journalistic pieces based on data. If you are not familiar with the site, stop now and <a href="http://polygraph.cool/">take a look</a>.</p><p>Matt starts with a simple question — for example, what songs from the ’90s are still popular? — and tries to answer it through data analysis and visualization. The result is always a well-crafted web page and applications, with a mix of data analysis, interactive graphics, and explanations.</p><p>On the show we talk specifically about two projects: “<a href="http://poly-graph.co/timeless/">The most timeless songs of all-time</a>,” in which Matt analyzes song popularity from Spotify data, and “<a href="http://polygraph.cool/films/">Film Dialogue from 2,000 screenplays, Broken Down by Gender and Age</a>,” in which he examines movie dialogues as a way to dig deeper into gender biases in the film industry.</p><div style="width: 960px;" class="wp-video"><video class="wp-video-shortcode" id="video-1840-15" width="960" height="720" preload="metadata" controls="controls"><source type="video/mp4" src="http://datastori.es/wp-content/uploads/2016/07/Matt-Daniels-promo.m4v?_=15" /><a href="http://datastori.es/wp-content/uploads/2016/07/Matt-Daniels-promo.m4v">http://datastori.es/wp-content/uploads/2016/07/Matt-Daniels-promo.m4v</a></video></div><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p>This episode of Data Stories is sponsored by <a href="https://cartodb.com">CartoDB</a>. CartoDB is an open, powerful, and intuitive platform for discovering and predicting the key facts underlying the massive location data in our world. Whether you are a business, government agency, or simply a lover of revolutionary spatial insight technology, don’t settle for anything less than the best interactive maps around. Learn how CartoDB is shaping the world of location intelligence at <a href="http://cartodb.com/gallery">cartodb.com/gallery</a> and check out the <a href="https://cartodb.com/location-data-services/">Location Data Services</a> mentioned in the ad.</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p>LINKS</p><p><a href="https://twitter.com/matthew_daniels">Matt Daniels</a><br />Matt’s Medium article “<a href="https://medium.com/@matthew_daniels/the-journalist-engineer-c9c1a72b993f#.78m5lmiet">The Journalist Engineer</a>”<br />Project: “<a href="http://poly-graph.co/vocabulary.html">The largest vocabulary in Hip Hop</a>”<br />Project: “<a href="http://polygraph.cool/history/">How music taste evolved</a>”<br />Project: “<a href="http://poly-graph.co/timeless/">The most timeless songs of all-time</a>”<br />Project: “<a href="http://polygraph.cool/films/">Film Dialogue from 2,000 screenplays, Broken Down by Gender and Age</a>”<br />Washington Post: “<a href="https://www.washingtonpost.com/news/to-your-health/wp/2016/05/27/docs-fire-back-at-bad-yelp-reviews-and-reveal-patients-information-online/">Doctors fire back at bad Yelp reviews — and reveal patients’ information online</a>” (Collaboration between Enrico’s Lab and ProPublica)</p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/66-iquantnyc/">66 | "I Quant NY" Finding Surprising Stories in NYC Open Data with Ben Wellington</a> </li> <li> <a href="http://datastori.es/data-stories-53-data-safaris-w-benedikt-gros/">53 | Data Safaris w/ Benedikt Groß</a> </li> <li> <a href="http://datastori.es/behind-the-scenes-of-whats-really-warming-the-world-with-the-bloomberg-team-ds59/">59 | Behind the Scenes of "What's Really Warming The World?" with the Bloomberg Team</a> </li> <li> <a href="http://datastori.es/visualizing-your-google-search-history-with-lisa-charlotte-rost-ds61/">61 | Visualizing Your "Google Search History" with Lisa Charlotte Rost</a> </li> <li> <a href="http://datastori.es/73-kim-albrecht-on-untangling-tennis-and-the-cosmic-web/">73 | Kim Albrecht on Untangling Tennis and the Cosmic Web</a> </li> </ul>"" | |||||||||||||||||||
25 | 76 | Wed, 15 Jun 2016 21:06:57 +0000 | 76 | Bocoup and OpenVis Conference | Chat | 3 | MIXED | 0:55:37 | http://datastori.es/76-bocoup-and-openvis-conference/ | http://datastori.es/podlove/file/2504/s/feed/c/podcast/76-bocoup-and-openvis-conference.m4a | 00:00:11.440: Our sponsor: CartoDB | 00:00:45.992: Welcome | 00:01:07.187: Our Slack channel and team | 00:02:26.419: Our guests: The team from Bocoup! | 00:02:43.078: Irene Ros, Director of Data Viz at Bocoup | 00:03:20.618: Jim Vallandingham | 00:03:46.140: Yannick Assogba | 00:04:26.591: The Bocoup Team's work | 00:06:49.275: Voyager | 00:08:02.489: Lyra | 00:13:22.181: The Bocoup advantage: What the team brings to the table | 00:16:49.640: Bocoup's self-commissioned projects: The Stereotropes Project | 00:23:29.959: Bocoup's process for choosing, beginning, and working on projects | 00:28:24.840: Our sponsor: CartoDB | 00:30:03.154: Educational initiatives from Bocoup | 00:34:48.641: OpenVis Conf Video Archive | 00:37:52.416: OpenVis Conf in its fourth year | 00:41:13.102: The OpenVis Conf speaker selection process | 00:50:08.920: What's next for the future: The fifth year of OpenVis Conf | 00:54:03.354: Rate us and get in touch! | 00:55:04.331: Our sponsor: CartoDB | | 21 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/2505/s/download/c/buttonlist/76-bocoup-and-openvis-conference.mp3">MP3 Audio<span class="size">51 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/2504/s/download/c/buttonlist/76-bocoup-and-openvis-conference.m4a">MPEG-4 AAC Audio<span class="size">39 MB</span></a> </li> </ul><div style="clear: both"></div><p><img data-attachment-id="1823" data-permalink="http://datastori.es/76-bocoup-and-openvis-conference/bc02cc9e6126c6278bc2f8e0f4aa8ea4/" data-orig-file="http://datastori.es/wp-content/uploads/2016/06/bc02cc9e6126c6278bc2f8e0f4aa8ea4.jpeg" data-orig-size="450,450" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="bc02cc9e6126c6278bc2f8e0f4aa8ea4" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/06/bc02cc9e6126c6278bc2f8e0f4aa8ea4-300x300.jpeg" data-large-file="http://datastori.es/wp-content/uploads/2016/06/bc02cc9e6126c6278bc2f8e0f4aa8ea4.jpeg" class="alignnone wp-image-1823 size-medium" src="http://datastori.es/wp-content/uploads/2016/06/bc02cc9e6126c6278bc2f8e0f4aa8ea4-300x300.jpeg" alt="bc02cc9e6126c6278bc2f8e0f4aa8ea4" width="300" height="300" srcset="http://datastori.es/wp-content/uploads/2016/06/bc02cc9e6126c6278bc2f8e0f4aa8ea4-300x300.jpeg 300w, http://datastori.es/wp-content/uploads/2016/06/bc02cc9e6126c6278bc2f8e0f4aa8ea4-150x150.jpeg 150w, http://datastori.es/wp-content/uploads/2016/06/bc02cc9e6126c6278bc2f8e0f4aa8ea4.jpeg 450w" sizes="(max-width: 300px) 100vw, 300px" /><img data-attachment-id="1822" data-permalink="http://datastori.es/76-bocoup-and-openvis-conference/91a6b6635db6e086bf785a1a49ab83f1/" data-orig-file="http://datastori.es/wp-content/uploads/2016/06/91a6b6635db6e086bf785a1a49ab83f1.jpeg" data-orig-size="450,450" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="91a6b6635db6e086bf785a1a49ab83f1" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/06/91a6b6635db6e086bf785a1a49ab83f1-300x300.jpeg" data-large-file="http://datastori.es/wp-content/uploads/2016/06/91a6b6635db6e086bf785a1a49ab83f1.jpeg" class="alignnone wp-image-1822 size-medium" src="http://datastori.es/wp-content/uploads/2016/06/91a6b6635db6e086bf785a1a49ab83f1-300x300.jpeg" alt="91a6b6635db6e086bf785a1a49ab83f1" width="300" height="300" srcset="http://datastori.es/wp-content/uploads/2016/06/91a6b6635db6e086bf785a1a49ab83f1-300x300.jpeg 300w, http://datastori.es/wp-content/uploads/2016/06/91a6b6635db6e086bf785a1a49ab83f1-150x150.jpeg 150w, http://datastori.es/wp-content/uploads/2016/06/91a6b6635db6e086bf785a1a49ab83f1.jpeg 450w" sizes="(max-width: 300px) 100vw, 300px" /> <img data-attachment-id="1824" data-permalink="http://datastori.es/76-bocoup-and-openvis-conference/10a8752541d23e5071df0eb9b40d271d/" data-orig-file="http://datastori.es/wp-content/uploads/2016/06/10a8752541d23e5071df0eb9b40d271d.jpeg" data-orig-size="450,450" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="10a8752541d23e5071df0eb9b40d271d" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/06/10a8752541d23e5071df0eb9b40d271d-300x300.jpeg" data-large-file="http://datastori.es/wp-content/uploads/2016/06/10a8752541d23e5071df0eb9b40d271d.jpeg" class="alignnone wp-image-1824 size-medium" src="http://datastori.es/wp-content/uploads/2016/06/10a8752541d23e5071df0eb9b40d271d-300x300.jpeg" alt="10a8752541d23e5071df0eb9b40d271d" width="300" height="300" srcset="http://datastori.es/wp-content/uploads/2016/06/10a8752541d23e5071df0eb9b40d271d-300x300.jpeg 300w, http://datastori.es/wp-content/uploads/2016/06/10a8752541d23e5071df0eb9b40d271d-150x150.jpeg 150w, http://datastori.es/wp-content/uploads/2016/06/10a8752541d23e5071df0eb9b40d271d.jpeg 450w" sizes="(max-width: 300px) 100vw, 300px" /></p><p>On the show this week we have <a href="http://www.ireneros.com">Irene Ros</a>, <a href="http://vallandingham.me">Jim Vallandingham</a>, and <a href="http://yannickassogba.info">Yannick Assogba</a> from the data visualization team of <a href="https://bocoup.com">Bocoup</a>. We talk about how they collaborate with other groups to create open-source data visualization software. We also talk about <a href="https://openvisconf.com">OpenVis Conference</a>, the successful and innovative visualization event they organize each year, as well as the cool visualization projects they develop internally.</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p>This episode of Data Stories is sponsored by <a href="https://cartodb.com">CartoDB</a>. <a href="https://cartodb.com">CartoDB</a> is an open, powerful, and intuitive platform for discovering and predicting the key facts underlying the massive location data in our world. Whether you are a business, government agency, or simply a lover of revolutionary spatial insight technology, don’t settle for anything less than the best interactive maps around. Learn how <a href="https://cartodb.com">CartoDB</a> is shaping the world of location intelligence at <a href="http://cartodb.com/gallery">cartodb.com/gallery</a>.</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p><b>LINKS</b><br /><a href="https://bocoup.com/about/bocouper/irene-ros">Irene Ros</a><br /><a href="https://bocoup.com/about/bocouper/jim-vallandingham">Jim Vallandingham</a><br /><a href="https://bocoup.com/about/bocouper/yannick-assogba">Yannick Assogba</a><br /><a href="https://idl.cs.washington.edu/papers/voyager/">Voyager (Exploratory Visualization Tool from IDL)</a><br /><a href="http://idl.cs.washington.edu/projects/lyra/">Lyra (Chart Building Tool from IDL)</a><br />Bocoup’s self-commissioned project “<a href="http://stereotropes.bocoup.com/?_ga=1.69913040.1181559897.1463757171">Stereotropes</a>”<br /><a href="https://bocoup.com/education">Bocoup’s educational initiatives</a><br /><a href="https://openvisconf.com/2015/">OpenVis Conference 2015</a><br /><a href="https://openvisconf.com/#videos">OpenVis Conference Video Archive<br /></a><a href="https://openvisconf.com/files/transcripts.zip">OpenVis Conference file of transcripts</a><br /><a href="mailto:openvisconf@bocoup.com">Contact the OpenVis Conference team</a><br />Lisa Charlotte Rost’s blog posts “<a href="http://lisacharlotterost.github.io/2016/05/17/one-chart-tools/">One Chart, Twelve Tools</a>” and “<a href="http://lisacharlotterost.github.io/2016/05/17/one-chart-code/">One Chart, Twelve Charting Libraries</a>”</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/data-stories-48-vis-going-mainstream-w-stamens-ceo-eric-rodenbeck/">48 | Vis Going Mainstream w/ Stamen's CEO Eric Rodenbeck</a> </li> <li> <a href="http://datastori.es/67-ggplot2-r-and-data-toolmaking-with-hadley-wickham/">67 | ggplot2, R, and data toolmaking with Hadley Wickham</a> </li> <li> <a href="http://datastori.es/text-visualization-past-present-and-future-with-chris-collins-ds62/">62 | Text Visualization: Past, Present and Future with Chris Collins</a> </li> <li> <a href="http://datastori.es/72-jeff-heer/">72 | Jeff Heer on Merging Industry and Research with the Interactive Data Lab</a> </li> <li> <a href="http://datastori.es/82-information-plus-review/">82 | Information+ Conference Review</a> </li> <li> <a href="http://datastori.es/79-information-design-with-isabel-meirelles/">79 | Information Design with Isabel Meirelles</a> </li> </ul>"" | |||||||||||||||||||
26 | 75 | Wed, 01 Jun 2016 18:42:26 +0000 | 75 | Listening to Data From Space with Scott Hughes | Chat | 1 | M | 0:57:38 | http://datastori.es/75-sonification-scott-hughes/ | http://datastori.es/podlove/file/2378/s/feed/c/podcast/75-sonification-scott-hughes.m4a | 00:00:05.160: Our sponsor: CartoDB | 00:01:05.010: Announcement: Data Stories is on Google Play and Slack! | 00:01:33.110: Request: Please review us on iTunes! | 00:02:32.160: Introducing Scott Hughes | 00:04:43.090: Scott's mini-lecture on LIGO and gravitational waves | 00:10:21.120: Catching the first gravitational wave "in the wild" | 00:11:03.090: The serendipitous origins of gravitational wave sonification | 00:13:38.120: How do you turn signal detection into an audio file? | 00:14:50.140: First sound clip: two black holes orbiting each other | 00:17:37.050: Examples of simulated sonification | 00:18:02.150: First sound clip replay: two black holes orbiting each other | 00:18:40.220: Second sound clip: two black holes spinning | 00:21:45.200: Third sound clip: the ringing mode of a black hole | 00:23:59.050: Fourth sound clip: the actual thump of two black holes slamming together | 00:28:58.060: Fifth sound clip: two objects moving past each other in space | 00:33:03.090: Our sponsor: CartoDB | 00:34:32.230: What happens if the data simulations are wrong? | 00:38:44.120: Sixth sound clip: the first clip the team used to announce the discovery | 00:41:43.120: Speaking nature's language: a particularly exciting moment for astronomy research | 00:44:36.010: Sonifying other data sets | 00:47:17.160: Listen to Wikipedia project | 00:48:44.010: The New York Times's Fractions of a Second | 00:52:14.030: NPR's U.S. Home Prices, Sung as Opera | 00:56:03.200: Rate us and get in touch! | 00:57:04.190: Our sponsor: CartoDB | | 25 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/2381/s/download/c/buttonlist/75-sonification-scott-hughes.mp3">MP3 Audio<span class="size">53 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/2378/s/download/c/buttonlist/75-sonification-scott-hughes.m4a">MPEG-4 AAC Audio<span class="size">41 MB</span></a> </li> </ul><div style="clear: both"></div><p><img data-attachment-id="1703" data-permalink="http://datastori.es/75-sonification-scott-hughes/scott_hughes_2/" data-orig-file="http://datastori.es/wp-content/uploads/2016/05/SCOTT_HUGHES_2.png" data-orig-size="300,200" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="SCOTT_HUGHES_2" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/05/SCOTT_HUGHES_2-300x200.png" data-large-file="http://datastori.es/wp-content/uploads/2016/05/SCOTT_HUGHES_2.png" class="size-full wp-image-1703 alignnone" src="http://datastori.es/wp-content/uploads/2016/05/SCOTT_HUGHES_2.png" alt="SCOTT_HUGHES_2" width="300" height="200" /></p><p>Dear friends, we are really excited to publish our first “data sonification” episode ever! After many years of searching for the right person, subject and format, we are happy to publish this fantastic episode with <a href="http://web.mit.edu/sahughes/www/">Scott Hughes</a> from MIT. Scott is an astrophysicist and a key figure at <a href="https://www.ligo.caltech.edu/">LIGO</a>, the laser interferometer project that finally allowed scientists to “listen” to the sound of two colliding black holes.</p><p>Here Scott talks about how he decided to sonify his data and how sonification is being used by scientists to understand astrophysical phenomena.</p><p>Listen as we play a number of samples; Scott walks us through their meaning and the physics behind them. It’s really really cool. Warm up your ears!</p><p>You can also listen to some samples from Scott Hughes and his team here:</p><p> </p><ul><li><a href="http://datastori.es/wp-content/uploads/2016/06/hp_nospin-7.mov">Simulation of two black holes orbiting each other</a>. They gradually spiral together. As they move closer, the waves sweep up in frequency and amplitude, producing the “chirp.”</li></ul><p> </p><ul><li>Simulation of a final collision of two massive black holes, what Scott calls “the ringing mode” of a black hole. All that is audible is the last “pop” of the system settling down to a single black hole.<!--[if lt IE 9]><script>document.createElement('audio');</script><![endif]--><audio class="wp-audio-shortcode" id="audio-1686-1" preload="none" style="width: 100%;" controls="controls"><source type="audio/mpeg" src="http://datastori.es/wp-content/uploads/2016/06/m100.mp3?_=1" /><a href="http://datastori.es/wp-content/uploads/2016/06/m100.mp3">http://datastori.es/wp-content/uploads/2016/06/m100.mp3</a></audio><p> </li><li>Two objects moving past each other in space. The gravitational waves in this case are loud when the small body moves close to the large body (its motion is fast during that part of the orbit), and they are quiet when the small body is far away (when its motion is slow).<audio class="wp-audio-shortcode" id="audio-1686-2" preload="none" style="width: 100%;" controls="controls"><source type="audio/wav" src="http://datastori.es/wp-content/uploads/2016/06/e0.95_i20.wav?_=2" /><a href="http://datastori.es/wp-content/uploads/2016/06/e0.95_i20.wav">http://datastori.es/wp-content/uploads/2016/06/e0.95_i20.wav</a></audio><p> </li><li>Also, take a look at the many links that we have added below. You can listen to the sounds yourself and discover a number of additional sonification projects.</li></ul><p>Huge thanks to Scott for spending so much time with us preparing the sounds and recording the show. We loved it!</p><div style="width: 960px;" class="wp-video"><video class="wp-video-shortcode" id="video-1686-16" width="960" height="720" preload="metadata" controls="controls"><source type="video/mp4" src="http://datastori.es/wp-content/uploads/2016/05/Scott-Hughes-promo.m4v?_=16" /><a href="http://datastori.es/wp-content/uploads/2016/05/Scott-Hughes-promo.m4v">http://datastori.es/wp-content/uploads/2016/05/Scott-Hughes-promo.m4v</a></video></div><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p>This episode of Data Stories is sponsored by CartoDB. CartoDB is an open, powerful, and intuitive platform for discovering and predicting the key facts underlying the massive location data in our world. Whether you are a business, government agency, or simply a lover of revolutionary spatial insight technology, don’t settle for anything less than the best interactive maps around. Learn how CartoDB is shaping the world of location intelligence at <a href="http://cartodb.com/gallery">cartodb.com/gallery</a>.</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p><span style="font-weight: 400;">LINKS</span></p><ul><li style="font-weight: 400;"><span style="font-weight: 400;"><a href="http://web.mit.edu/sahughes/www/">Scott’s website</a></span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Scott’s group’s </span><a href="http://gmunu.mit.edu/sounds/sounds.html"><span style="font-weight: 400;">web archive of sound files and discussion</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;"><em>The Atlantic</em> on Scott’s work: </span><a href="http://www.theatlantic.com/science/archive/2016/02/what-gravitational-waves-sound-like/462357/"><span style="font-weight: 400;">What Gravitational Waves Sound Like</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Video of the </span><a href="https://www.youtube.com/watch?v=TWqhUANNFXw"><span style="font-weight: 400;">LIGO Gravitational Wave Chirp</span></a></li><li style="font-weight: 400;"><a href="https://www.ligo.caltech.edu/"><span style="font-weight: 400;">The LIGO site (Laser Interferometer Gravitational-Wave Observatory)</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;"><a href="http://www.ligo.org/">The LIGO Scientific Collaboration</a></span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Soundcloud of </span><a href="https://soundcloud.com/emily-lakdawalla/ligochirp"><span style="font-weight: 400;">LIGO Gravitational Waves Announcement Chirp</span></a></li><li style="font-weight: 400;"><a href="http://gmunu.mit.edu/sounds/sounds.html"><span style="font-weight: 400;">Catalog of example sonifications of gravitational wave signals</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;"><a href="http://listen.hatnote.com/">Listen to Wikipedia project</a></span></li><li style="font-weight: 400;"><span style="font-weight: 400;">The <em>New York Times</em>’s </span><a href="http://www.nytimes.com/interactive/2010/02/26/sports/olympics/20100226-olysymphony.html?_r=1&"><span style="font-weight: 400;">Fractions of a Second: An Olympic Musical</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">NPR’s </span><a href="http://www.npr.org/sections/money/2011/04/27/135737940/the-case-shiller-index-sung-as-opera"><span style="font-weight: 400;">U.S. Home Prices, Sung as Opera</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;"><em>Medium</em> on </span><span style="font-weight: 400;"><a href="https://medium.com/thoughts-on-media/what-does-data-sound-like-9bd4ef4f5e8a#.hxfra3e3c">What Does Data Sound Like?</a></span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Youtube video of </span><a href="https://www.youtube.com/watch?time_continue=7&v=t8g-iYGHpEA"><span style="font-weight: 400;">what different sorting algorithms sound like</span></a></li></ul>"" | |||||||||||||||||||
27 | 74 | Wed, 18 May 2016 17:56:01 +0000 | 74 | Data Ethics and Privacy with Eleanor Saitta | Chat | 1 | F | 0:50:16 | http://datastori.es/74-data-ethics-and-privacy-with-eleanor-saitta/ | http://datastori.es/podlove/file/2434/s/feed/c/podcast/74-privacy-eleanor-saitta.m4a | 00:00:09.885: Our sponsor: Qlik | 00:00:46.893: Mo and Enrico catch up | 00:03:51.567: Introducing Eleanor Saitta, Etsy's new Security Architect-to-be | 00:06:40.651: "Tagging Banksy: using geographic profiling to identify a modern art mystery" | 00:13:26.578: Ethical research: understanding criminality, art, and privacy | 00:15:42.098: Ethical journalism: why there's no such thing as a neutral point of view | 00:18:48.444: Deanonymizing BuzzFeed's Tennis Exposé | 00:21:13.703: New York City taxi data | 00:23:54.489: How to choose between the transparency and the privacy risks that come with raw data? | 00:26:51.190: The increasing use of private and personal data against people | 00:28:52.066: Our sponsor: Qlik | 00:29:59.405: Choosing privacy versus control - there is no easy answer | 00:36:05.304: Our responsibility as consumers of data news | 00:39:00.148: The many routes of correcting data privacy problems | 00:42:33.924: 10 Commandments of data privacy (learning from data journalism / NICAR / ProPublica)? | 00:44:38.840: How can you protect yourself? | 00:48:47.965: Rate us and get in touch! | 00:49:52.699: Our sponsor: Qlik | | 18 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/2433/s/download/c/buttonlist/74-privacy-eleanor-saitta.mp3">MP3 Audio<span class="size">46 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/2434/s/download/c/buttonlist/74-privacy-eleanor-saitta.m4a">MPEG-4 AAC Audio<span class="size">35 MB</span></a> </li> </ul><div style="clear: both"></div><p><img data-attachment-id="1711" data-permalink="http://datastori.es/74-data-ethics-and-privacy-with-eleanor-saitta/saitta-headshot-2014-front-color-683x1024/" data-orig-file="http://datastori.es/wp-content/uploads/2016/05/saitta-headshot-2014-front-color-683x1024-e1463509166103.jpg" data-orig-size="683,752" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="saitta-headshot-2014-front-color-683×1024" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/05/saitta-headshot-2014-front-color-683x1024-e1463509166103-272x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2016/05/saitta-headshot-2014-front-color-683x1024-683x1024.jpg" class="wp-image-1711 size-medium alignleft" src="http://datastori.es/wp-content/uploads/2016/05/saitta-headshot-2014-front-color-683x1024-e1463509166103-272x300.jpg" alt="saitta-headshot-2014-front-color-683x1024" width="272" height="300" srcset="http://datastori.es/wp-content/uploads/2016/05/saitta-headshot-2014-front-color-683x1024-e1463509166103-272x300.jpg 272w, http://datastori.es/wp-content/uploads/2016/05/saitta-headshot-2014-front-color-683x1024-e1463509166103.jpg 683w" sizes="(max-width: 272px) 100vw, 272px" /></p><p>We have Eleanor Saitta on the show to talk about data privacy. Eleanor is “a hacker, designer, artist, writer, and barbarian.” She is also Etsy’s new Security Architect.</p><p>During our chat we discuss the fine line between the excitement of being able to work with great data sets and the many — oftentimes unexpected — privacy risks associated with it.</p><p> </p><p> </p><div style="width: 960px;" class="wp-video"><video class="wp-video-shortcode" id="video-1710-17" width="960" height="720" preload="metadata" controls="controls"><source type="video/mp4" src="http://datastori.es/wp-content/uploads/2016/05/Eleanor-Saitta-promo_v2-1.m4v?_=17" /><a href="http://datastori.es/wp-content/uploads/2016/05/Eleanor-Saitta-promo_v2-1.m4v">http://datastori.es/wp-content/uploads/2016/05/Eleanor-Saitta-promo_v2-1.m4v</a></video></div><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p>This episode of Data Stories is sponsored by Qlik, which allows you to explore the hidden relationships within your data that lead to meaningful insights. Make sure to check out the <a href="http://global.qlik.com/us/blog/posts/patrik-lundblad/data-visualization-foundations-mapping">data visualization mapping tutorial</a> on the Qlik Blog. You can try out Qlik Sense for free at: <a href="http://qlik.de/datastories">qlik.de/datastories</a>.</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p><b>LINKS</b></p><ul><li style="font-weight: 400;"><span style="font-weight: 400;"><a href="https://dymaxion.org/">Eleanor Saitta</a> </span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Journal of Spatial Science: “</span><a href="http://www.tandfonline.com/doi/abs/10.1080/14498596.2016.1138246?journalCode=tjss20&"><span style="font-weight: 400;">Tagging Banksy: using geographic profiling to identify a modern art mystery</span></a><span style="font-weight: 400;">”</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">More on Banksy: </span><span style="font-weight: 400;">“</span><a href="https://news.artnet.com/people/banksy-identity-revealed-scientists-441185"><span style="font-weight: 400;">Mystery Solved? Scientists Reveal Banksy’s Identity</span></a><span style="font-weight: 400;">” and </span><span style="font-weight: 400;">“</span><a href="http://fusion.net/story/276660/banksy-outing-through-geolocation/"><span style="font-weight: 400;">These researchers tracked Banksy like a serial killer to reveal his identity</span></a><span style="font-weight: 400;">”</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Medium: “</span><a href="https://medium.com/@rkaplan/finding-the-tennis-suspects-c2d9f198c33d#.lwxvojcmg"><span style="font-weight: 400;">Deanonymizing BuzzFeed’s Tennis Exposé</span></a><span style="font-weight: 400;">”</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">The Atlantic: “</span><a href="http://www.theatlantic.com/technology/archive/2014/11/when-fitbit-is-the-expert-witness/382936/"><span style="font-weight: 400;">When Fitbit Is the Expert Witness</span></a><span style="font-weight: 400;">”</span></li><li style="font-weight: 400;"><span style="font-weight: 400;"><a href="https://www.wilsoncenter.org/sites/default/files/crowley%20updated2.pdf">Connecting Grassroots and Government for Disaster Response</a>: </span><span style="font-weight: 400;">when choosing between privacy and control, there’s no easy answer</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">From Columbia University: “</span><a href="http://datascience.columbia.edu/location-data-two-apps-enough-identify-someone-says-study"><span style="font-weight: 400;">Location Data on Two Apps Enough to Identify Someone, Says Study</span></a><span style="font-weight: 400;">“</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">W&L Law Review: “</span><a href="http://lawreview.journals.wlu.io/elements-of-a-new-ethical-framework-for-big-data-research/"><span style="font-weight: 400;">Elements of a New Ethical Framework for Big Data Research</span></a><span style="font-weight: 400;">”</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Markets for Good: “</span><a href="http://marketsforgood.org/the-trials-and-tribulations-of-data-visualization-for-good/"><span style="font-weight: 400;">The Trials and Tribulations of Data Visualization for Good</span></a><span style="font-weight: 400;">”</span></li></ul> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/data-stories-27-big-data-skepticism-w-kate-crawford/">27 | Big Data Skepticism w/ Kate Crawford</a> </li> <li> <a href="http://datastori.es/data-stories-55-disinformation-visualization-w-mushon-zer-aviv/">55 | Disinformation Visualization w/ Mushon Zer-Aviv</a> </li> <li> <a href="http://datastori.es/97-calling-bullshit-with-carl-bergstrom-and-jevin-west/">97 | Calling Bullshit with Carl Bergstrom and Jevin West</a> </li> </ul>"" | |||||||||||||||||||
28 | 73 | Wed, 04 May 2016 18:15:31 +0000 | 73 | Kim Albrecht on Untangling Tennis and the Cosmic Web | Project | 1 | M | 0:30:10 | http://datastori.es/73-kim-albrecht-on-untangling-tennis-and-the-cosmic-web/ | http://datastori.es/podlove/file/2363/s/feed/c/podcast/73-kim-albrecht.m4a | 00:00:13.971: Our sponsor: Qlik | 00:00:50.480: Welcome | 00:01:33.634: Our guest: Kim Albrecht | 00:02:56.460: Overview of Untangling Tennis | 00:06:32.741: The design process for Untangling Tennis | 00:08:10.551: The final design | 00:10:33.659: Reception to the project | 00:14:09.129: Our sponsor: Qlik | 00:15:24.684: Outliers in the data: unusual success stories in tennis | 00:16:46.379: Kim's new project: The Cosmic Web | 00:19:39.701: Similarities and differences between the two projects | 00:21:14.961: Kim's toolbox | 00:23:52.749: Integrating the roles of scientist, data analysts, and designers | 00:28:45.710: Rate us and get in touch! | 00:29:47.282: Our sponsor: Qlik | | 15 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/2364/s/download/c/buttonlist/73-kim-albrecht.mp3">MP3 Audio<span class="size">28 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/2363/s/download/c/buttonlist/73-kim-albrecht.m4a">MPEG-4 AAC Audio<span class="size">21 MB</span></a> </li> </ul><div style="clear: both"></div><p><span style="font-weight: 400;">Kim is a visualization researcher and information designer. He currently works at the <a href="http://www.barabasilab.com/">Center for Complex Network Research</a>, the lab led by famous network physicist <a href="http://barabasilab.com/personnel/who.php?who=Barabasi">László Barabási</a>.</span></p><p>Kim works in a team of scientists to create effective and beautiful visualizations that explain complex scientific phenomena.</p><p>In the show we focus on <a href="http://kimalbrecht.com/project/untangling-tennis/">Untangling Tennis</a>, a data visualization project aimed at explaining the relationship between popularity and athletic performance. We also talk about his more recent project, <a href="http://kimalbrecht.com/project/cosmic-web/">the Cosmic Web</a>, which visualizes 24,000 galaxies and their network of gravitational relationships.</p><p>Enjoy the show!</p><div style="width: 960px;" class="wp-video"><video class="wp-video-shortcode" id="video-1676-18" width="960" height="720" preload="metadata" controls="controls"><source type="video/mp4" src="http://datastori.es/wp-content/uploads/2016/05/Kim-Albrecht-Promo-final.m4v?_=18" /><a href="http://datastori.es/wp-content/uploads/2016/05/Kim-Albrecht-Promo-final.m4v">http://datastori.es/wp-content/uploads/2016/05/Kim-Albrecht-Promo-final.m4v</a></video></div><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p><span style="font-weight: 400;">This episode of Data Stories is sponsored by Qlik, which allows you to explore the hidden relationships within your data that lead to meaningful insights. Make sure to check out the <a href="http://global.qlik.com/us/blog/posts/patrik-lundblad/lets-celebrate-pi-day">blog post</a></span><span style="font-weight: 400;"> listing Visualization Advocate Patrik Lundblad’s favorite data visualization pioneers. You can try out Qlik Sense for free at <a href="http://qlik.de/datastories">qlik.de/datastories</a>.</span></p><p><span style="font-weight: 400;">LINKS</span></p><ul><li><span style="font-weight: 400;"><a href="http://kimalbrecht.com/">Kim Albrecht</a></span></li><li><span style="font-weight: 400;"><a href="http://untangling-tennis.net/">Untangling Tennis</a> </span></li><li><span style="font-weight: 400;"><a href="http://cosmicweb.barabasilab.com">The Cosmic Web</a></span></li><li><span style="font-weight: 400;"><a href="https://d3js.org/">D3.js</a> </span></li><li><span style="font-weight: 400;"><a href="http://threejs.org/">three.js</a>, a </span><span style="font-weight: 400;">javascript library for 3D vis</span></li><li><a href="https://www.cs.umd.edu/users/ben/"><span style="font-weight: 400;">Ben Shneiderman</span></a><span style="font-weight: 400;">’s <a href="http://www.cs.umd.edu/hcil/newabcs/">The New ABC of Research</a></span></li><li><span style="font-weight: 400;"><a href="http://www.gsd.harvard.edu/#/people/peter-galison.html">Peter Galison</a>‘s </span><a href="http://www.amazon.com/Image-Logic-Material-Culture-Microphysics/dp/0226279170 "><i><span style="font-weight: 400;">Image and Logic</span></i></a></li><li><span style="font-weight: 400;">Peter Galison’s “</span><a href="http://www.ann-sophielehmann.nl/content/docs/grgalison.pdf "><span style="font-weight: 400;">Images Scatter Into Data, Data Gathers Into Images</span></a><span style="font-weight: 400;">”</span></li></ul> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/ds-52-science-communication-w-jen-christiansen/">52 | Science Communication at SciAm w/ Jen Christiansen</a> </li> <li> <a href="http://datastori.es/77-polygraph-and-the-journalist-engineer-matt-daniels/">77 | Polygraph and The Journalist Engineer Matt Daniels</a> </li> <li> <a href="http://datastori.es/83-olympic-feathers-with-nadieh-bremer/">83 | Olympic Feathers with Nadieh Bremer</a> </li> <li> <a href="http://datastori.es/93-oddityviz-with-valentina-defilippo-and-miriam-quick/">93 | OddityViz with Valentina D’Efilippo and Miriam Quick</a> </li> </ul>"" | |||||||||||||||||||
29 | 72 | Wed, 20 Apr 2016 18:27:14 +0000 | 72 | Jeff Heer on Merging Industry and Research with the Interactive Data Lab | Chat | 1 | M | 1:02:50 | http://datastori.es/72-jeff-heer/ | http://datastori.es/podlove/file/2006/s/feed/c/podcast/71.m4a | 00:00:11.434: Our sponsor: Qlik | 00:00:47.664: Welcome | 00:01:29.982: Our guest: Jeff Heer | 00:03:28.879: The Interactive Data Lab | 00:07:36.152: Vega | 00:10:13.776: The thinking behind Vega: a grammar of interaction | 00:13:38.657: Tool design: Creating tools for wide adoptability | 00:17:16.234: How to get started with Vega: Vega-Lite | 00:19:28.950: Voyager | 00:26:59.926: What happens to audience trust when visualizations are automated? | 00:28:27.066: Our sponsor: Qlik | 00:29:43.785: Research findings comparing Voyager and Tableau tools | 00:33:35.987: Predictive interaction | 00:36:52.226: Trifacta: People, Computation and Data | 00:41:17.942: Success stories from the past four years of Trifacta | 00:43:37.854: Lyra | 00:47:40.440: Tools that allow for play with shapes and design | 00:50:25.825: Connecting data vis research with the industry | 00:57:09.192: Exciting future developments in data vis research | 01:01:24.959: Rate us and get in touch! | 01:02:29.709: Our sponsor: Qlik | | 21 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/2007/s/download/c/buttonlist/71.mp3">MP3 Audio<span class="size">58 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/2006/s/download/c/buttonlist/71.m4a">MPEG-4 AAC Audio<span class="size">44 MB</span></a> </li> </ul><div style="clear: both"></div><p><a href="http://homes.cs.washington.edu/~jheer/">Jeff Heer</a> is Associate Professor at the University of Washington where he leads the <a href="http://idl.cs.washington.edu">Interactive Data Lab (IDL)</a>. Jeff has worked on many visualization libraries and software programs, including <a href="http://prefuse.org">Prefuse</a>, <a href="http://flare.prefuse.org">Flare</a>, <a href="http://mbostock.github.io/protovis/">Protovis</a> and the widely adopted <a href="https://d3js.org">D3</a> (with his former PhD student Mike Bostock). Jeff is also the co-founder of <a href="https://www.trifacta.com">Trifacta</a>, a data analytics company focused on data wrangling.</p><p>On the show we talk about many interesting research tools and products developed in Jeff’s lab, including <a href="https://vega.github.io">Vega</a>, <a href="https://idl.cs.washington.edu/papers/voyager/">Voyager</a> and <a href="https://idl.cs.washington.edu/papers/lyra">Lyra</a>. We also talk about <a href="https://www.trifacta.com/">Trifacta</a> and the challenges and promises of visualization research.</p><p>Enjoy the show!</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p>Data Stories is brought to you by <a href="http://www.qlik.com/">Qlik</a>, which allows you to explore the hidden relationships within your data that lead to meaningful insights. Let your instincts lead the way to create personalized visualizations and dynamic dashboards with Qlik Sense, which you can download for free at <a href="http://www.qlik.de/datastories">www.qlik.de/datastories</a>. Make sure to check out their post on <a href="http://global.qlik.com/us/blog/posts/james-richardson/beauty-is-not-truth">truth & beauty</a> (!) at the Qlik blog.</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p> </p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/76-bocoup-and-openvis-conference/">76 | Bocoup and OpenVis Conference</a> </li> <li> <a href="http://datastori.es/95-challenges-of-being-a-vis-professional-in-industry-with-elijah-meeks/">95 | Challenges of Being a Vis Professional in Industry with Elijah Meeks</a> </li> </ul>"" | |||||||||||||||||||
30 | 71 | Wed, 06 Apr 2016 18:15:28 +0000 | 71 | Tapestry Conference Review with Robert Kosara | Conference | 1 | M | 0:30:09 | http://datastori.es/71-tapestry-conference-review-with-robert-kosara/ | http://datastori.es/podlove/file/2225/s/feed/c/podcast/tapestry-conference-review-with-robert-kosara.m4a | 00:00:12.375: Our Sponsor: Qlik | 00:00:47.684: Welcome | 00:02:11.638: Introducing Tapestry | 00:04:12.150: What happened at Tapestry 2016 | 00:04:54.963: Keynote speakers | 00:05:01.643: Scott Klein on the history of visual journalism | 00:08:26.903: Jessica Hullman on the structure and relatability of data stories | 00:12:00.381: Nick Sousanis on thinking in images | 00:17:42.213: Our Sponsor: Qlik | 00:18:46.497: Short stories | 00:19:18.594: Catherine Madden on sketchnoting | 00:20:13.238: Alan Smith on "The Competent Critic" | 00:21:48.862: Enrico Bertini on cross-domain collaboration | 00:23:40.248: Eva Galanes-Rosenbaum on what to do with untrustworthy data | 00:25:25.744: How to participate in Tapestry | 00:27:51.033: Recordings from the conference | 00:28:47.476: Rate us and get in touch | 00:29:49.006: Our Sponsor: Qlik | | 18 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/2222/s/download/c/buttonlist/tapestry-conference-review-with-robert-kosara.mp3">MP3 Audio<span class="size">28 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/2225/s/download/c/buttonlist/tapestry-conference-review-with-robert-kosara.m4a">MPEG-4 AAC Audio<span class="size">21 MB</span></a> </li> </ul><div style="clear: both"></div><p>Hey guys, this is a special edition from <a href="http://www.tapestryconference.com/">Tapestry</a>, the conference on Data Storytelling that brings together visualization experts, journalists, designers, NGOs, academics, and more.</p><p>Enrico sits down with <a href="https://eagereyes.org/">Robert Kosara</a> to recap the conference, especially the keynotes and some of the short story talks. Plus, Robert fills us in on how to participate in Tapestry conferences in the future.</p><p>Enjoy the show!</p><p>Links</p><ul><li><a href="https://www.propublica.org/site/author/scott_klein">Scott Klein</a></li><li><a href="http://faculty.washington.edu/jhullman/">Jessica Hullman</a></li><li><a href="http://spinweaveandcut.com/">Nick Sousanis</a></li><li><a href="http://www.catherinemadden.com/">Catherine Madden</a></li><li><a href="https://twitter.com/theboysmithy">Alan Smith</a></li><li><a href="https://rethinkmedia.org/users/eva-galanes-rosenbaum">Eva Galanes-Rosenbaum</a></li><li><a href="http://enrico.bertini.io/revex">RevEx (Review Explorer)</a> – Tool from Enrico’s lab</li><li><a href="https://www.youtube.com/user/TapestryConference">Tapestry YouTube Channel</a></li></ul><p>The transcript for this episode is available <a href="https://docs.google.com/document/d/1EoOV9ghAVI8SP4Tz6gSuv5Atfz4of7zhvBWVWgpwwdw/edit?usp=sharing">here</a>.</p><hr /><p>Data Stories is brought to you by <a href="http://www.qlik.de/datastories" target="_blank">Qlik</a>, which allows you to explore the hidden relationships within your data that lead to meaningful insights. Download Qlik Sense for free at <a href="http://www.qlik.de/datastories" target="_blank">http://www.qlik.de/datastories</a>. For all Quantified Selfers, a senior member of Qlik’s Demo Team, Michael Anthony, has published his 2015 <a href="http://eu-b.demo.qlik.com/detail.aspx?appName=My%20Life%20in%20Data.qvw">“My Life In Data”</a> Report, where he tracks life events including miles run, coffees consumed, commuting mileage, food eaten and more!</p><hr /><p><strong>Presentations</strong></p><p><iframe width="960" height="540" src="https://www.youtube.com/embed/V_dgGbiSe8I?feature=oembed" frameborder="0" allowfullscreen></iframe></p><p><iframe width="960" height="540" src="https://www.youtube.com/embed/tjXsApA5Evs?feature=oembed" frameborder="0" allowfullscreen></iframe></p><p><iframe width="960" height="540" src="https://www.youtube.com/embed/7veGaFlu9Xk?feature=oembed" frameborder="0" allowfullscreen></iframe></p><p><iframe width="960" height="540" src="https://www.youtube.com/embed/IB7crD_paKQ?feature=oembed" frameborder="0" allowfullscreen></iframe></p><p><iframe width="960" height="540" src="https://www.youtube.com/embed/F5MywPMWpNA?feature=oembed" frameborder="0" allowfullscreen></iframe></p><p><iframe width="960" height="540" src="https://www.youtube.com/embed/yK3D5cakaPk?feature=oembed" frameborder="0" allowfullscreen></iframe></p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/82-information-plus-review/">82 | Information+ Conference Review</a> </li> </ul>"" | |||||||||||||||||||
31 | 70 | Wed, 23 Mar 2016 19:05:51 +0000 | 70 | Rocket Science with Rachel Binx | Chat | 1 | F | 0:37:52 | http://datastori.es/70-rocket-science-with-rachel-binx/ | http://datastori.es/podlove/file/2004/s/feed/c/podcast/70-rachel-binx.m4a | 00:00:35.000: Start - Mo and Enrico catch up | 00:01:28.000: Introducing Rachel Binx | 00:02:32.000: The NASA Jet Propulsion Laboratory | 00:03:58.000: Rachel’s work at NASA | 00:05:01.000: The VORTEX tool | 00:09:35.000: Rachel’s role in designing VORTEX | 00:10:53.000: Methodologies and process for the NASA project | 00:13:48.000: Uses of the VORTEX tool | 00:20:02.000: The limitations of machine learning | 00:21:33.000: Their design and development process | 00:23:50.000: Rachel’s previous work: live tweeting (MTV Music Awards w/ Stamen) | 00:26:36.000: Code that works for NASA | 00:30:28.000: Dealing with time in space: Martian Time | 00:35:05.000: Rachel’s advice on how to get a job at NASA | | 14 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/2001/s/download/c/buttonlist/70-rachel-binx.mp3">MP3 Audio<span class="size">35 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/2004/s/download/c/buttonlist/70-rachel-binx.m4a">MPEG-4 AAC Audio<span class="size">27 MB</span></a> </li> </ul><div style="clear: both"></div><p>Hey, we talk about space and spacecrafts in this episode!</p><p>We have <a href="http://rachelbinx.com/">Rachel Binx</a> on the show to discuss her experience developing data visualization software for <a href="http://www.jpl.nasa.gov/">NASA JPL</a>.</p><p>NASA operators need to look at telemetry data coming from spacecrafts to make sense of what is happening in our skies. Super fascinating topic.</p><p>On the show we talk about the project, the process for NASA data collection and analysis, and how to write code that goes into space!</p><p>You can find the transcript for this episode <a href="https://docs.google.com/document/d/12Q-HHS0n-NtOXlBN0G9Yvy4iAvSc_77wPwk5wUSskLU/edit?usp=sharing">here</a>. Enjoy the show.</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p>This episode of Data Stories is sponsored by <a href="http://www.quadrigram.com/">Quadrigram</a>, a web based application designed to bring data stories to life. With <a href="http://www.quadrigram.com/">Quadrigram</a> you can create and share interactive data stories without the need of any coding skills.</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p>LINKS</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><ul><li style="font-weight: 400;"><span style="font-weight: 400;">Rachel Binx: </span><span style="font-weight: 400;"><a href="http://rachelbinx.com/">http://rachelbinx.com/</a></span></li><li style="font-weight: 400;"><span style="font-weight: 400;">NASA JPL: </span><a href="http://www.jpl.nasa.gov/"><span style="font-weight: 400;">http://www.jpl.nasa.gov/</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Design notes on the Vortex project: <a href="http://rachelbinx.com/Vortex">http://rachelbinx.com/Vortex</a></span><span style="font-weight: 400;"> </span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Sommer, Robin, and Vern Paxson. “</span><a href="http://www.icir.org/robin/papers/oakland10-ml.pdf"><span style="font-weight: 400;">Outside the closed world: On using machine learning for network intrusion detection.</span></a><span style="font-weight: 400;">” Security and Privacy (SP), 2010 IEEE Symposium on. IEEE, 2010.</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Rachel’s Project on MTV Music Awards w/ Stamen: </span><a href="http://rachelbinx.com/2012-MTV-Video-Music-Awards"><span style="font-weight: 400;">http://rachelbinx.com/2012-MTV-Video-Music-Awards</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">React.js </span><a href="https://facebook.github.io/react/"><span style="font-weight: 400;">https://facebook.github.io/react/</span></a></li></ul><p><span style="font-weight: 400;">Dealing with time / Moment.js </span><a href="http://momentjs.com/"><span style="font-weight: 400;">http://momentjs.com/</span></a></p>"" | |||||||||||||||||||
32 | 69 | Wed, 09 Mar 2016 16:33:58 +0000 | 69 | Data Visualization Literacy with Jeremy Boy, Helen Kennedy and Andy Kirk | Chat | 3 | MIXED | 0:49:34 | http://datastori.es/69-data-visualization-literacy-with-jeremy-boy-helen-kennedy-and-andy-kirk/ | http://datastori.es/podlove/file/1999/s/feed/c/podcast/69-data-visualization-literacy-with-jeremy-boy-helen-kennedy-and-andy-kirk.m4a | 00:00:00.000: | 00:00:10.556: Our Sponsor: Qlik | 00:00:43.536: Moritz and Enrico catch up: Greetings from Schloß Dagstuhl | 00:02:16.703: Data visualization literacy | 00:04:11.197: Andy Kirk | 00:04:48.528: Helen Kennedy (Professor of Digital Society) | 00:06:09.232: Jeremy Boy | 00:07:13.804: Seeing Data Project | 00:11:58.194: What affects engagement and readability? | 00:17:06.911: Talking mats | 00:25:15.323: Our Sponsor: Qlik | 00:26:58.251: Diversity | 00:29:34.694: Measure literacy | 00:33:46.276: "I am not good at maths" / the problem of confidence | 00:38:29.257: Can metaphors help? | 00:40:44.482: Expectations in audience when encountering a chart | 00:45:01.515: What's next? | 00:48:06.069: Rate us and get in touch! | 00:49:08.411: Our Sponsor: Qlik | | 19 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/1996/s/download/c/buttonlist/69-data-visualization-literacy-with-jeremy-boy-helen-kennedy-and-andy-kirk.mp3">MP3 Audio<span class="size">45 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/1999/s/download/c/buttonlist/69-data-visualization-literacy-with-jeremy-boy-helen-kennedy-and-andy-kirk.m4a">MPEG-4 AAC Audio<span class="size">35 MB</span></a> </li> </ul><div style="clear: both"></div><p>We have a nice trio on the show for this episode: <a href="http://jyby.eu/">Jeremy Boy</a> is a postdoctoral researcher at NYU School of Engineering, <a href="http://www.sheffield.ac.uk/socstudies/staff/staff-profiles/helen-kennedy">Helen Kennedy</a> is Professor of Digital Society at University of Sheffield, and <a href="http://www.visualisingdata.com/">Andy Kirk</a> is our beloved editor at <a href="http://www.visualisingdata.com/">visualisingdata.com</a>.</p><p><img data-attachment-id="1582" data-permalink="http://datastori.es/69-data-visualization-literacy-with-jeremy-boy-helen-kennedy-and-andy-kirk/helen-kennedy/" data-orig-file="http://datastori.es/wp-content/uploads/2016/03/helen-kennedy.jpg" data-orig-size="400,400" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"1"}" data-image-title="helen-kennedy" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/03/helen-kennedy-300x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2016/03/helen-kennedy.jpg" class="alignnone wp-image-1582 size-thumbnail" src="http://datastori.es/wp-content/uploads/2016/03/helen-kennedy-150x150.jpg" alt="helen-kennedy" width="150" height="150" srcset="http://datastori.es/wp-content/uploads/2016/03/helen-kennedy-150x150.jpg 150w, http://datastori.es/wp-content/uploads/2016/03/helen-kennedy-300x300.jpg 300w, http://datastori.es/wp-content/uploads/2016/03/helen-kennedy.jpg 400w" sizes="(max-width: 150px) 100vw, 150px" /><img data-attachment-id="1580" data-permalink="http://datastori.es/69-data-visualization-literacy-with-jeremy-boy-helen-kennedy-and-andy-kirk/andykirk/" data-orig-file="http://datastori.es/wp-content/uploads/2016/03/AndyKirk.jpg" data-orig-size="350,466" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="AndyKirk" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/03/AndyKirk-225x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2016/03/AndyKirk.jpg" class="alignnone size-thumbnail wp-image-1580" src="http://datastori.es/wp-content/uploads/2016/03/AndyKirk-150x150.jpg" alt="AndyKirk" width="150" height="150" /><img data-attachment-id="1584" data-permalink="http://datastori.es/69-data-visualization-literacy-with-jeremy-boy-helen-kennedy-and-andy-kirk/photo-jpg/" data-orig-file="http://datastori.es/wp-content/uploads/2016/03/photo.jpg.png" data-orig-size="288,288" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="photo.jpg" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/03/photo.jpg.png" data-large-file="http://datastori.es/wp-content/uploads/2016/03/photo.jpg.png" class="alignnone size-thumbnail wp-image-1584" src="http://datastori.es/wp-content/uploads/2016/03/photo.jpg-150x150.png" alt="photo.jpg" width="150" height="150" srcset="http://datastori.es/wp-content/uploads/2016/03/photo.jpg-150x150.png 150w, http://datastori.es/wp-content/uploads/2016/03/photo.jpg.png 288w" sizes="(max-width: 150px) 100vw, 150px" /></p><p>We talk with these three experts about Data Visualization Literacy — that is, how people read data visualizations. We ask, how do we measure literacy? How do we improve it? And how do we even define literacy when we’re asking our viewers to read images?</p><p>Jeremy talks about his research on methods to measure visualization literacy, while Helen and Andy discuss their <a href="http://seeingdata.org/">Seeing Data</a> project, which studies how people read visualizations.</p><p>If you prefer reading to listening, you can find the transcript of our episode <a href="https://docs.google.com/document/d/1GUPWgZW_8ppm1iHwNxM2xgrYeHa01cDG3JoWjszINz0/edit?usp=sharing">here</a>. Enjoy the show!</p><p>Data Stories is brought to you by Qlik, which allows you to explore the hidden relationships within your data that lead to meaningful insights. Let your instincts lead the way to create personalized visualizations and dynamic dashboards with Qlik Sense. Download Qlik Sense for free at <a href="http://www.qlik.de/datastories" target="_blank" rel="noreferrer">www.qlik.de/datastories</a>. This week, the Qlik blog features a great post on maps and the data literacy required to read them called “<a href="http://global.qlik.com/us/blog/posts/murray-grigo-mcmahon/here-be-dragons">Here Be Dragons</a>.”</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p>LINKS</p><ul><li><span style="font-weight: 400;">Andy Kirk: </span><a href="http://www.visualisingdata.com/"><span style="font-weight: 400;">visualisingdata.com</span></a></li><li><span style="font-weight: 400;">Helen Kennedy: </span><a href="http://www.sheffield.ac.uk/socstudies/staff/staff-profiles/helen-kennedy"><span style="font-weight: 400;">http://www.sheffield.ac.uk/socstudies/staff/staff-profiles/helen-kennedy</span></a></li><li><span style="font-weight: 400;">Jeremy Boy: </span><a href="http://jyby.eu/"><span style="font-weight: 400;">http://jyby.eu/</span></a></li><li><span style="font-weight: 400;">Seeing Data Project: </span><span style="font-weight: 400;"><a href="http://seeingdata.org">http://seeingdata.org</a></span></li></ul><p> </p><p><span style="font-weight: 400;">Seeing Data Results:</span></p><ul><li style="font-weight: 400;"><a href="http://www.visualisingdata.com/2015/10/views-from-seeing-data-research-part-1/"><span style="font-weight: 400;">http://www.visualisingdata.com/2015/10/views-from-seeing-data-research-part-1/</span></a></li><li style="font-weight: 400;"><a href="http://www.visualisingdata.com/2015/12/views-from-seeing-data-research-part-2/"><span style="font-weight: 400;">http://www.visualisingdata.com/2015/12/views-from-seeing-data-research-part-2/</span></a></li><li style="font-weight: 400;"><a href="http://www.visualisingdata.com/2016/02/views-from-seeing-data-research-part-3/"><span style="font-weight: 400;">http://www.visualisingdata.com/2016/02/views-from-seeing-data-research-part-3/</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Three funded PhD Studentships at University of Sheffield: </span><span style="font-weight: 400;"><a href="http://www.sheffield.ac.uk/socstudies/prospt/ppr/scholarships/datanetwork">http://www.sheffield.ac.uk/socstudies/prospt/ppr/scholarships/datanetwork</a></span></li></ul><p> </p><p><span style="font-weight: 400;">Some research papers on data visualization literacy:</span></p><ul><li style="font-weight: 400;"><span style="font-weight: 400;">Boy, Jeremy, et al. “</span><a href="https://hal.inria.fr/hal-01027582/document"><span style="font-weight: 400;">A principled way of assessing visualization literacy.</span></a><span style="font-weight: 400;">“</span><i><span style="font-weight: 400;">Visualization and Computer Graphics, IEEE Transactions on</span></i><span style="font-weight: 400;"> 20.12 (2014): 1963-1972.</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Lee, Sukwon, et al. “How do People Make Sense of Unfamiliar Visualizations?: A Grounded Model of Novice’s Information Visualization Sensemaking.” </span><i><span style="font-weight: 400;">Visualization and Computer Graphics, IEEE Transactions on </span></i><span style="font-weight: 400;">22.1 (2016): 499-508.</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Börner, Katy, et al. “</span><a href="http://cns.slis.indiana.edu/docs/publications/2015-borner-investigating.pdf"><span style="font-weight: 400;">Investigating aspects of data visualization literacy using 20 information visualizations and 273 science museum visitors.</span></a><span style="font-weight: 400;">” </span><i><span style="font-weight: 400;">Information Visualization</span></i><span style="font-weight: 400;"> (2015): 1473871615594652.</span></li></ul><p> </p><p><span style="font-weight: 400;">Some other interesting projects:</span></p><ul><li style="font-weight: 400;"><span style="font-weight: 400;">Vis Literacy Workshop (at InfoVis): </span><a href="http://visualizationliteracy.org/workshop"><span style="font-weight: 400;">http://visualizationliteracy.org/workshop</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Vis Literacy at Purdue: </span><span style="font-weight: 400;"><a href="https://engineering.purdue.edu/HIVELab/wiki/pmwiki.php/VisualizationLiteracy">https://engineering.purdue.edu/HIVELab/wiki/pmwiki.php/VisualizationLiteracy</a></span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Vis Literacy Workshop (at EuroVis): </span><a href="https://www.kth.se/profile/178785/page/eurovis-2014-workshop-towards-visualiza/"><span style="font-weight: 400;">https://www.kth.se/profile/178785/page/eurovis-2014-workshop-towards-visualiza/</span></a></li></ul><p> </p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/82-information-plus-review/">82 | Information+ Conference Review</a> </li> <li> <a href="http://datastori.es/87-vizkidz-books-on-data-visualization-for-kids/">87 | VizKidz: Books on Data Visualization for Kids</a> </li> <li> <a href="http://datastori.es/88-re-designing-visualizations-on-makeovermonday-with-andy-kriebel-and-andy-cotgreave/">88 | Re-designing Visualizations on #MakeoverMonday with Andy Kriebel and Andy Cotgreave</a> </li> </ul>"" | |||||||||||||||||||
33 | 68 | Wed, 24 Feb 2016 20:01:39 +0000 | 68 | Poemage: Data Visualization for Poets with Miriah Meyer and Nina McCurdy | Project | 2 | F | 0:28:02 | http://datastori.es/68-poemage/ | http://datastori.es/podlove/file/1986/s/feed/c/podcast/68-poemage.m4a | 00:00:12.179: Our sponsor: Quadrigram | 00:00:59.553: Our guests: Miriah Meyer & Nina McCurdy | 00:02:00.822: Overview of Poemage | 00:02:31.478: What is Sonic Topology? | 00:05:09.788: Pronunciation and the CMU Dictionary | 00:06:55.954: Origins of the project and collaborations with poets | 00:08:47.311: Discerning the problem to be solved in poetry | 00:10:49.792: The methodology: playful experimentation | 00:11:54.986: Our sponsor: Quadrigram | 00:13:22.885: Poemage's visualization design | 00:14:56.252: Different uses of Poemage by poets | 00:15:46.765: Examples of responses to Poemage from the poetry community | 00:17:57.367: Evaluating Poemage for usefulness | 00:19:27.900: Data visualization for creativity support | 00:21:54.720: Insights into the visualization design process | 00:23:27.903: Main takeaways for the designers | 00:26:36.484: Rate us and get in touch | 00:27:37.966: Our sponsor: Quadrigram | | 18 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/1985/s/download/c/buttonlist/68-poemage.mp3">MP3 Audio<span class="size">26 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/1986/s/download/c/buttonlist/68-poemage.m4a">MPEG-4 AAC Audio<span class="size">20 MB</span></a> </li> </ul><div style="clear: both"></div><p><img data-attachment-id="1501" data-permalink="http://datastori.es/68-poemage/teaser3/" data-orig-file="http://datastori.es/wp-content/uploads/2016/02/teaser3-e1455809305320.png" data-orig-size="1540,830" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="teaser3" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/02/teaser3-e1455809305320-300x162.png" data-large-file="http://datastori.es/wp-content/uploads/2016/02/teaser3-e1455809305320-1024x552.png" class="alignnone wp-image-1501 size-full" src="http://datastori.es/wp-content/uploads/2016/02/teaser3-e1455809305320.png" alt="teaser3" width="1540" height="830" srcset="http://datastori.es/wp-content/uploads/2016/02/teaser3-e1455809305320.png 1540w, http://datastori.es/wp-content/uploads/2016/02/teaser3-e1455809305320-300x162.png 300w, http://datastori.es/wp-content/uploads/2016/02/teaser3-e1455809305320-768x414.png 768w, http://datastori.es/wp-content/uploads/2016/02/teaser3-e1455809305320-1024x552.png 1024w" sizes="(max-width: 1540px) 100vw, 1540px" /></p><p>We have <a href="http://www.cs.utah.edu/~miriah/">Miriah Meyer</a> (Assistant Professor at Univ. of Utah) and <a href="http://ninamccurdy.com">Nina McCurdy</a> (PhD student at Univ. of Utah) on Data Stories for a project episode about the lovely <a href="http://www.sci.utah.edu/~nmccurdy/Poemage/">Poemage</a>, “a visualization system for exploring the sonic topology of a poem.”</p><p>Miriah and Nina worked hand-in-hand with a group of poets to design a tool that visualizes a poem and, as such, provides inspiration for interesting poetic structures and solutions.</p><p>On the show we talk about how they derived phonological information from text, how the project evolved, and how data visualization tools can be designed to support creativity.</p><p>Listen here or read the <a href="https://docs.google.com/document/d/1Fd21t18TObm1QZAyYLx9WNDEMZzGuRfiz_CqlKMslNg/edit?usp=sharing">transcript</a>. Either way, enjoy the show!</p><p> </p><p>This episode of Data Stories is sponsored by <a href="http://www.quadrigram.com/">Quadrigram</a>, a web based application designed to bring data stories to life. With <a href="http://www.quadrigram.com/">Quadrigram</a> you can create and share interactive data stories without needing any coding skills.</p><p>LINKS</p><ul><li style="font-weight: 400;"><span style="font-weight: 400;">Nina McCurdy bio: </span><a href="http://ninamccurdy.com/"><span style="font-weight: 400;">http://ninamccurdy.com/</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Miriah Meyer bio: </span><a href="http://www.cs.utah.edu/~miriah/"><span style="font-weight: 400;">http://www.cs.utah.edu/~miriah/</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Overview of Poemage: </span><a href="http://www.sci.utah.edu/~nmccurdy/Poemage/"><span style="font-weight: 400;">http://www.sci.utah.edu/~nmccurdy/Poemage/</span></a><span style="font-weight: 400;"> </span></li><li style="font-weight: 400;">Poemage Paper: <a href="http://www.sci.utah.edu/~nmccurdy/Poemage/images/Poemage.pdf">http://www.sci.utah.edu/~nmccurdy/Poemage/images/Poemage.pdf</a></li><li style="font-weight: 400;"><span style="font-weight: 400;">Pronunciation and the CMU Dictionary: </span><a href="http://www.speech.cs.cmu.edu/cgi-bin/cmudict"><span style="font-weight: 400;">http://www.speech.cs.cmu.edu/cgi-bin/cmudict</span></a></li><li style="font-weight: 400;">“This is Just to Say” by William Carlos Williams: <a href="https://www.poets.org/poetsorg/poem/just-say">https://www.poets.org/poetsorg/poem/just-say</a></li></ul>"" | |||||||||||||||||||
34 | 67 | Wed, 10 Feb 2016 19:57:24 +0000 | 67 | ggplot2, R, and data toolmaking with Hadley Wickham | Chat | 1 | M | 1:01:30 | http://datastori.es/67-ggplot2-r-and-data-toolmaking-with-hadley-wickham/ | http://datastori.es/podlove/file/1941/s/feed/c/podcast/67-ggplot2-r-and-toolmaking-with-hadley-wickham.m4a | 00:00:08.981: Our Sponsor: Qlik | 00:01:05.238: Moritz and Enrico catching up: Project Ukko | 00:03:16.743: Introducing Hadley Wickham | 00:04:54.885: Introducing ggplot2 | 00:06:29.349: The beginning of ggplot2 | 00:07:06.947: The difference between ggplot and ggplot2 | 00:09:05.408: How Hadley came to create ggplot2 | 00:11:02.752: How people have been using ggplot2 | 00:14:06.896: Designing defaults in ggplot2 | 00:16:27.510: Elements of successful data visualization libraries/tools | 00:22:24.517: How Hadley uses ggplot2 | 00:25:09.964: Can you use ggplot2 without R? | 00:25:45.742: What is R? | 00:28:01.815: The R community: Who should use R? | 00:31:51.544: tidyr | 00:33:30.098: Visualizing travel data with TripIt | 00:34:59.946: Our Sponsor: Qlik | 00:36:50.280: Suggestions for newcomers to R | 00:38:11.760: Online tutorials for R | 00:39:45.445: Hadley's approach to toolmaking | 00:42:21.376: noise sample hadley | 00:42:54.588: What is R Studio? | 00:45:13.609: Shiny and interaction | 00:49:47.065: Interaction in R | 00:52:01.134: Listener question: A grammar of interactions? Functional Reactive Programming: | 00:54:42.441: A grammar of models? | 00:56:59.189: What's next for Hadley | 00:59:13.403: Hadley's impact | 00:59:59.099: Rate us and get in touch | 01:01:04.371: Our Sponsor: Qlik | | 30 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/1943/s/download/c/buttonlist/67-ggplot2-r-and-toolmaking-with-hadley-wickham.mp3">MP3 Audio<span class="size">56 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/1941/s/download/c/buttonlist/67-ggplot2-r-and-toolmaking-with-hadley-wickham.m4a">MPEG-4 AAC Audio<span class="size">43 MB</span></a> </li> </ul><div style="clear: both"></div><p><img data-attachment-id="1479" data-permalink="http://datastori.es/67-ggplot2-r-and-data-toolmaking-with-hadley-wickham/hadley/" data-orig-file="http://datastori.es/wp-content/uploads/2016/02/hadley.jpg" data-orig-size="512,512" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="hadley" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/02/hadley-300x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2016/02/hadley.jpg" class="size-full wp-image-1479 alignnone" src="http://datastori.es/wp-content/uploads/2016/02/hadley.jpg" alt="hadley" width="512" height="512" srcset="http://datastori.es/wp-content/uploads/2016/02/hadley.jpg 512w, http://datastori.es/wp-content/uploads/2016/02/hadley-150x150.jpg 150w, http://datastori.es/wp-content/uploads/2016/02/hadley-300x300.jpg 300w" sizes="(max-width: 512px) 100vw, 512px" /></p><p>We have <a href="http://hadley.nz/">Hadley Wickham</a> on the show, Chief Scientist at <a href="https://www.rstudio.com/">RStudio</a> and Adjunct Professor of Statistics at Rice University and the University of Auckland.</p><p>Hadley created a number of hugely popular libraries for the R language, including <a href="http://ggplot2.org/">ggplot2</a>, which is used throughout the world to analyze and present data.</p><p>On the show we talk about his creative process to develop <a href="http://ggplot2.org/">ggplot2,</a> its growing popularity, other libraries he has built in the R ecosystem, and strategies for creating popular software for data analysis and visualization.</p><p>Enjoy listening to Hadley Wickham, or read the transcript from our interview <a href="http://bit.ly/1QRC49p">here</a>!</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p><span style="font-weight: 400;">Data Stories is brought to you by <a href="http://www.qlik.de/datastories">Qlik</a>, which allows you to explore the hidden relationships within your data that lead to meaningful insights. </span><span style="font-weight: 400;">Take part in the </span><a href="http://global.qlik.com/us/blog/posts/evan-siff/open-data-challenge"><span style="font-weight: 400;">Open Data Challenge</span></a><span style="font-weight: 400;"> for a chance to win $10,000 for an app created with Qlik Sense!</span></p><p><strong>LINKS</strong></p><ul><li><span style="font-weight: 400;">Project Ukko: </span><a href="http://www.project-ukko.net/"><span style="font-weight: 400;">http://www.project-ukko.net/</span></a></li><li><span style="font-weight: 400;">Hadley Wickham: </span><a href="http://hadley.nz/"><span style="font-weight: 400;">http://hadley.nz/</span></a><span style="font-weight: 400;"> | </span><a href="https://github.com/hadley/"><span style="font-weight: 400;">https://github.com/hadley/</span></a></li><li><span style="font-weight: 400;">ggplot2: </span><a href="http://ggplot2.org/"><span style="font-weight: 400;">http://ggplot2.org/</span></a></li><li><span style="font-weight: 400;">ggplot extensions: </span><a href="http://ggplot2-exts.github.io"><span style="font-weight: 400;">http://ggplot2-exts.github.io</span></a></li><li><span style="font-weight: 400;">Hadley’s R packages for data analysis (</span><a href="http://ggplot2.org/"><span style="font-weight: 400;">ggplot2</span></a><span style="font-weight: 400;">, </span><a href="http://cran.r-project.org/web/packages/plyr/index.html"><span style="font-weight: 400;">plyr</span></a><span style="font-weight: 400;">, </span><a href="http://cran.r-project.org/web/packages/reshape2/index.html"><span style="font-weight: 400;">reshape2</span></a><span style="font-weight: 400;">)</span></li><li><span style="font-weight: 400;">R: </span><a href="https://www.r-project.org/"><span style="font-weight: 400;">https://www.r-project.org/</span></a></li><li><span style="font-weight: 400;">tidyr: </span><a href="http://blog.rstudio.org/2014/07/22/introducing-tidyr/"><span style="font-weight: 400;">http://blog.rstudio.org/2014/07/22/introducing-tidyr/</span></a></li><li><span style="font-weight: 400;">Visualizing travel data with TripIt: </span><a href="https://www.tripit.com/"><span style="font-weight: 400;">https://www.tripit.com/</span></a></li><li><span style="font-weight: 400;">RStudio Shiny (interactive web graphics with R): </span><a href="http://shiny.rstudio.com/"><span style="font-weight: 400;">http://shiny.rstudio.com/</span></a></li><li><span style="font-weight: 400;">Functional Reactive Programming: </span><a href="https://en.wikipedia.org/wiki/Functional_reactive_programming"><span style="font-weight: 400;">https://en.wikipedia.org/wiki/Functional_reactive_programming</span></a></li><li><span style="font-weight: 400;">Beautiful data visualization done with ggplot2: </span><a href="http://spatial.ly/2014/09/london-information-capital/"><span style="font-weight: 400;">http://spatial.ly/2014/09/london-information-capital/</span></a></li><li><span style="font-weight: 400;">Mike LaCour’s scandalous graphs (clearly done with ggplot2): </span><a href="http://science.sciencemag.org/content/346/6215/1366.full"><span style="font-weight: 400;">http://science.sciencemag.org/content/346/6215/1366.full</span></a></li><li><span style="font-weight: 400;">Wilkinson’s The Grammar of Graphics: </span><a href="http://www.amazon.com/The-Grammar-Graphics-Statistics-Computing/dp/0387245448"><span style="font-weight: 400;">http://www.amazon.com/The-Grammar-Graphics-Statistics-Computing/dp/0387245448</span></a></li><li><span style="font-weight: 400;">Tableau: </span><a href="http://www.tableau.com/"><span style="font-weight: 400;">http://www.tableau.com/</span></a></li><li><span style="font-weight: 400;">d3.js: </span><a href="http://d3js.org/"><span style="font-weight: 400;">http://d3js.org/</span></a></li><li><span style="font-weight: 400;">ggvis and shiny: </span><a href="http://ggvis.rstudio.com/"><span style="font-weight: 400;">http://ggvis.rstudio.com/</span></a><span style="font-weight: 400;"> | </span><a href="http://shiny.rstudio.com/"><span style="font-weight: 400;">http://shiny.rstudio.com/</span></a></li><li><span style="font-weight: 400;">R tutorials:</span><ul><li style="font-weight: 400;"><a href="https://www.datacamp.com/"><span style="font-weight: 400;">https://www.datacamp.com/</span></a></li><li style="font-weight: 400;"><a href="https://www.coursera.org/learn/r-programming"><span style="font-weight: 400;">https://www.coursera.org/learn/r-programming</span></a></li><li style="font-weight: 400;"><a href="http://swirlstats.com/"><span style="font-weight: 400;">http://swirlstats.com/</span></a></li></ul></li></ul> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/76-bocoup-and-openvis-conference/">76 | Bocoup and OpenVis Conference</a> </li> <li> <a href="http://datastori.es/91-visualizing-data-with-raw/">91 | Visualizing Data with RAW</a> </li> </ul>"" | 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35 | 66 | Fri, 15 Jan 2016 15:38:04 +0000 | 66 | “I Quant NY” Finding Surprising Stories in NYC Open Data with Ben Wellington | Chat | 1 | M | 0:40:38 | http://datastori.es/66-iquantnyc/ | http://datastori.es/podlove/file/1826/s/feed/c/podcast/discovering-stories-in-nyc-open-data-with-ben-wellington-from-iquantnyc-ds66.m4a | 00:00:11.363: Our sponsor: Quadrigram | 00:00:46.225: Catching up: Moritz's project on place names | 00:02:13.169: Our guest: Ben Wellington | 00:03:31.151: The beginnings of I Quant NY | 00:05:46.758: Favorite projects: Worst health inspection score | 00:06:17.697: Favorite projects: Starbucks | 00:06:47.176: Taxi tipping project | 00:13:21.332: Parking tickets project | 00:18:26.994: Our sponsor: Quadrigram | 00:19:54.256: Ben's process | 00:24:41.471: Ben's tools | 00:28:23.478: How to develop the narrative? | 00:32:56.319: How to get started? | 00:35:26.668: What's next for Ben: IQuantTheWorld | 00:40:21.567: Our sponsor: Quadrigram | | 15 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/1825/s/download/c/buttonlist/discovering-stories-in-nyc-open-data-with-ben-wellington-from-iquantnyc-ds66.mp3">MP3 Audio<span class="size">37 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/1826/s/download/c/buttonlist/discovering-stories-in-nyc-open-data-with-ben-wellington-from-iquantnyc-ds66.m4a">MPEG-4 AAC Audio<span class="size">29 MB</span></a> </li> </ul><div style="clear: both"></div><p style="text-align: left;"><img data-attachment-id="1408" data-permalink="http://datastori.es/66-iquantnyc/maxresdefault/" data-orig-file="http://datastori.es/wp-content/uploads/2016/01/maxresdefault.jpg" data-orig-size="1966,1615" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"1"}" data-image-title="maxresdefault" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2016/01/maxresdefault-300x246.jpg" data-large-file="http://datastori.es/wp-content/uploads/2016/01/maxresdefault-1024x841.jpg" class="alignnone size-full wp-image-1408" src="http://datastori.es/wp-content/uploads/2016/01/maxresdefault.jpg" alt="maxresdefault" width="1966" height="1615" srcset="http://datastori.es/wp-content/uploads/2016/01/maxresdefault.jpg 1966w, http://datastori.es/wp-content/uploads/2016/01/maxresdefault-300x246.jpg 300w, http://datastori.es/wp-content/uploads/2016/01/maxresdefault-768x631.jpg 768w, http://datastori.es/wp-content/uploads/2016/01/maxresdefault-1024x841.jpg 1024w" sizes="(max-width: 1966px) 100vw, 1966px" /></p><p style="text-align: left;">Happy New Year everyone, we are back!</p><p style="text-align: left;">In this episode we talk with <a href="http://iquantny.tumblr.com/about">Ben Wellington</a> about his blog <a href="http://iquantny.tumblr.com/">I Quant NY</a>, where he writes about surprising facts he finds analyzing NYC open data.</p><p style="text-align: left;">Some of his stories include how he discovered that “<a href="http://iquantny.tumblr.com/post/107245431809/how-software-in-half-of-nyc-cabs-generates-52">… Software in Half of NYC Cabs Generates $5.2 Million a Year in Extra Tips</a>,” ideas on “<a href="http://iquantny.tumblr.com/post/115096016059/how-to-fix-nycs-no-cabs-at-4pm-problem">How to Fix NYC’s No-Cabs-At-4PM Problem</a>” and “<a href="http://iquantny.tumblr.com/post/87573867759/success-how-nyc-open-data-and-reddit-saved-new">How NYC Open Data and Reddit Saved New Yorkers Over $55,000 a Year</a>” by detecting fire hydrants that generate too many parking tickets.</p><p>On the show Ben talks about how he generates new ideas, how he finds and analyzes the data, and how he turns this into amazing stories for his blog. We also talk about the impact his work had on New York City and the interesting reactions some of his blog posts have generated.</p><p>Enjoy Ben and his amazing NYC data stories, and read a transcript of our interview <a href="https://docs.google.com/document/d/1HRoD_kyOQAtd3X_Ly7t6KxIsirDHtUHNN1038sx8zx4/edit?usp=sharing">here</a>!</p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p><span style="font-weight: 400;">This episode of Data Stories is sponsored by <a href="http://quadrigram.com">Quadrigram</a>, a web based application designed to bring data stories to life. With Quadrigram you can create and share interactive data stories without the need of any coding skills.</span></p><hr class="ttfmake-hr" style="border-style: solid; border-top-width: 1px;" /><p> </p><p><b>LINKS</b></p><p><span style="font-weight: 400;">Moritz’s project on place names – </span><a href="http://truth-and-beauty.net/experiments/ach-ingen-zell/"><span style="font-weight: 400;">http://truth-and-beauty.net/experiments/ach-ingen-zell/</span></a></p><p><span style="font-weight: 400;">Our Guest Ben Wellington – </span><a href="https://about.me/benwellington"><span style="font-weight: 400;">https://about.me/benwellington</span></a></p><p><span style="font-weight: 400;">I Quant NY – </span><a href="http://iquantny.tumblr.com"><span style="font-weight: 400;">http://iquantny.tumblr.com</span></a></p><p>Some favorite I Quant NY posts:</p><ul><li style="font-weight: 400;"><span style="font-weight: 400;">“</span><a href="http://iquantny.tumblr.com/post/98869218219/youll-never-guess-the-cleanest-fast-food-joint-in"><span style="font-weight: 400;">You’ll Never Guess the Cleanest Fast Food Joint in NYC</span></a><span style="font-weight: 400;">”</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">“</span><a href="http://iquantny.tumblr.com/post/82964955696/half-of-manhattan-is-within-4-blocks-of-a"><span style="font-weight: 400;">Half of Manhattan is Within 4 Blocks of a Starbucks</span></a><span style="font-weight: 400;">”</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">“</span><a href="http://iquantny.tumblr.com/post/107245431809/how-software-in-half-of-nyc-cabs-generates-52"><span style="font-weight: 400;">How Software in Half of NYC Cabs Generates $5.2 Million a Year in Extra Tips</span></a><span style="font-weight: 400;">”</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">“</span><a href="http://iquantny.tumblr.com/post/115096016059/how-to-fix-nycs-no-cabs-at-4pm-problem"><span style="font-weight: 400;">How to Fix NYC’s No-Cabs-At-4PM Problem</span></a><span style="font-weight: 400;">”</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">“</span><a href="http://iquantny.tumblr.com/post/87573867759/success-how-nyc-open-data-and-reddit-saved-new"><span style="font-weight: 400;">Success: How NYC Open Data and Reddit Saved New Yorkers Over $55,000 a Year</span></a><span style="font-weight: 400;">”</span></li></ul><p><span style="font-weight: 400;">Tools Ben uses for I Quant NY:</span></p><ul><li><span style="font-weight: 400;">iPython: </span><a href="http://ipython.org/"><span style="font-weight: 400;">http://ipython.org/</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">iPython Notebook Pandas: </span><a href="http://pandas.pydata.org/pandas-docs/stable/tutorials.html"><span style="font-weight: 400;">http://pandas.pydata.org/pandas-docs/stable/tutorials.html</span></a></li><li style="font-weight: 400;"><span style="font-weight: 400;">QGIS: </span><span style="font-weight: 400;"><a href="http://www.qgis.org/en/site/">http://www.qgis.org/en/site/</a></span></li><li style="font-weight: 400;"><span style="font-weight: 400;">CartoDB: </span><a href="https://cartodb.com/"><span style="font-weight: 400;">https://cartodb.com/</span></a></li></ul> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/77-polygraph-and-the-journalist-engineer-matt-daniels/">77 | Polygraph and The Journalist Engineer Matt Daniels</a> </li> </ul>"" | |||||||||||||||||||
36 | 65 | Sun, 20 Dec 2015 17:14:01 +0000 | 65 | What Happened in Vis in 2015? Year Review with Andy Kirk and Robert Kosara | Year Review | 2 | M | 1:16:20 | http://datastori.es/what-happened-in-vis-in-2015-year-review-with-andy-kirk-and-robert-kosara-ds65/ | http://datastori.es/podlove/file/1698/s/feed/c/podcast/ds-65.m4a | 00:00:00.000: Outtakes | 00:00:30.000: Qlik ad | 00:01:30.000: Hello and welcome to our guests | 00:02:05.000: The year for data stories | 00:04:30.000: Major trends | 00:14:00.000: Big debates | 00:23:00.000: Visualizations of note | 00:28:04.000: Academic Developments | 00:37:28.000: Qlik ad | 00:39:36.000: People, Companies, Studios | 00:42:20.000: Books | 00:49:15.000: Blogs | 00:56:20.000: Podcasts | 00:58:00.000: Software, libraries, and tools | 01:05:30.000: Events and talks | 01:09:50.000: Predictions for 2016 | 01:15:55.000: Qlik ad | | 17 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/1696/s/download/c/buttonlist/ds-65.mp3">MP3 Audio<span class="size">70 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/1698/s/download/c/buttonlist/ds-65.m4a">MPEG-4 AAC Audio<span class="size">54 MB</span></a> </li> </ul><div style="clear: both"></div><p><img data-attachment-id="1383" data-permalink="http://datastori.es/what-happened-in-vis-in-2015-year-review-with-andy-kirk-and-robert-kosara-ds65/ds-2015/" data-orig-file="http://datastori.es/wp-content/uploads/2015/12/ds-2015.png" data-orig-size="1400,1400" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="ds-2015" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/12/ds-2015-300x300.png" data-large-file="http://datastori.es/wp-content/uploads/2015/12/ds-2015-1024x1024.png" class="alignnone wp-image-1383" src="http://datastori.es/wp-content/uploads/2015/12/ds-2015.png" alt="ds-2015" width="211" height="211" srcset="http://datastori.es/wp-content/uploads/2015/12/ds-2015.png 1400w, http://datastori.es/wp-content/uploads/2015/12/ds-2015-150x150.png 150w, http://datastori.es/wp-content/uploads/2015/12/ds-2015-300x300.png 300w, http://datastori.es/wp-content/uploads/2015/12/ds-2015-768x768.png 768w, http://datastori.es/wp-content/uploads/2015/12/ds-2015-1024x1024.png 1024w" sizes="(max-width: 211px) 100vw, 211px" /></p><p>Hey yo!</p><p>Another turn of the year is approaching and we take some time to reflect with our classic guests <a href="http://visualisingdata.com">Andy Kirk</a> and <a href="http://eagereyes.com">Robert Kosara</a> on what has happened in 2015: “<em>What where the major trends? Big debates? Best visualizations? New tools? Etc.</em>” We’ve even put our predictions in writing — you can read them in our transcript of this episode <a href="https://docs.google.com/document/d/1ioSDMfYk7Mhh8mJ5L3r-8GSBDsHk7jcgljONl0KlMHA/edit">here</a>.</p><p>This was a great year for Data Stories, with a total of 22 episodes (our record so far!). We want to thank our fantastic collaborators <a href="http://destrysibley.com">Destry</a> and <a href="http://www.florianwoehrl.de">Florian</a> for their great support with running the show, our guests for spending time talking with us, and of course all of <strong>you</strong> for listening to Data Stories!</p><p>Happy 2016! Enjoy the holidays and we’ll see you on January with a ton of new stuff from our side. Stay tuned!<span id="more-1138"></span></p><hr /><p>Data Stories is brought to you by <a href="http://www.qlik.com/products/qlik-sense/desktop?sourceID1=datastories">Qlik</a>, who allows you to explore the hidden relationships within your data that lead to meaningful insights. Check out a new blog post from the <a href="http://global.qlik.com/cn/blog">Qlik Blog</a> called “<a href="http://global.qlik.com/cn/blog/posts/murray-grigo-mcmahon/people-are-srmat-data-literacy-and-broad-audiences">People Are Smart: Data Literacy and Broad Audiences</a>”. As you may know Data Literacy is a subject we love to talk about! <img src="https://s.w.org/images/core/emoji/2.2.1/72x72/1f642.png" alt="🙂" class="wp-smiley" style="height: 1em; max-height: 1em;" /></p><hr /><p><strong>Most popular episodes</strong></p><ul class="c2 lst-kix_f6vpnpblgoap-1 start"><li class="c3"><a href="http://datastori.es/ds-56-amanda-cox-nyt/">Data Stories #56</a>: Amanda Cox on Working With R, NYT Projects, Favorite Data</li><li class="c3"><a href="http://datastori.es/ds-52-science-communication-w-jen-christiansen/">Data Stories #52</a>: Science Communication at SciAm w/ Jen Christiansen</li><li class="c3"><a href="http://datastori.es/data-stories-57-human-dev-w-max-roser/">Data Stories #57</a>: Visualizing Human Development w/ Max Roser<sup><a href="#cmnt1" name="cmnt_ref1">[a]</a></sup></li></ul><p class="c5"><strong><span class="c9">Major Trends Of 2015</span></strong></p><h3 class="c5"><img data-attachment-id="1149" data-permalink="http://datastori.es/what-happened-in-vis-in-2015-year-review-with-andy-kirk-and-robert-kosara-ds65/europe_hex/" data-orig-file="http://datastori.es/wp-content/uploads/2015/12/europe_hex-e1450448900594.png" data-orig-size="500,391" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="europe_hex" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/12/europe_hex-300x234.png" data-large-file="http://datastori.es/wp-content/uploads/2015/12/europe_hex-e1450448900594.png" class="alignnone wp-image-1149" src="http://datastori.es/wp-content/uploads/2015/12/europe_hex.png" alt="europe_hex" width="250" height="197" /><br />Cartogram, NPR</h3><ol class="c2 lst-kix_3d9hi3mu4mfe-1 start" start="1"><li class="c3">Cartograms, gridded maps (Collection of links in first item <a href="http://www.visualisingdata.com/2015/08/10-significant-visualisation-developments-january-to-june-2015/">here</a>, <a href="http://blog.apps.npr.org/2015/05/11/hex-tile-maps.html">Hexmaps</a>, <a href="http://aftertheflood.co/projects/london-squared-map">London map</a>, <a href="http://grrr.fi/annukka-makijarvi/bears-of-finland-map/">Bear map</a>)</li><li class="c3">Machine learning / image processing, etc. (e.g. use of <a href="http://www.nytimes.com/interactive/2015/07/10/science/An-Image-of-Earth-Every-Ten-Minutes.html">satellite images</a>)</li><li class="c3">3D and VR (<a href="http://www.nytimes.com/newsgraphics/2015/nytvr/">NYT Cardboard Experiment</a>)</li><li class="c3">Better storytelling</li><li class="c3">Data podcasts</li><li class="c3">Mobile vis</li></ol><p class="c5"><strong><span class="c9">Major Debates/Issues</span></strong></p><h3 class="c5"><img data-attachment-id="1151" data-permalink="http://datastori.es/what-happened-in-vis-in-2015-year-review-with-andy-kirk-and-robert-kosara-ds65/3-designredesign/" data-orig-file="http://datastori.es/wp-content/uploads/2015/12/3.-designredesign.png" data-orig-size="1450,661" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="3. design&redesign" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/12/3.-designredesign-300x137.png" data-large-file="http://datastori.es/wp-content/uploads/2015/12/3.-designredesign-1024x467.png" class="alignnone wp-image-1151" src="http://datastori.es/wp-content/uploads/2015/12/3.-designredesign.png" alt="3. design&redesign" width="360" height="169" /><br />Design/Redesign</h3><ul class="c2 lst-kix_dpzebicx2ikj-0 start"><li class="c4">Vis ethics: <a href="http://www.fastcodesign.com/3049586/why-you-dont-make-a-mindlessly-beautiful-visualization-of-a-horrific-event">debate on aesthetizing negative data</a> —<span class="c0"> and </span>Sarah Slobin’s <a href="https://source.opennews.org/en-US/learning/what-if-data-visualization-actually-people/">recommendations</a></li><li class="c4">Data visualization criticism – <a href="https://medium.com/@hint_fm/design-and-redesign-4ab77206cf9">Design/redesign article</a></li><li class="c4">The <a href="http://www.perceptualedge.com/blog/?p=2154">Stephen Few / Alberto Cairo / David Mccandleuss debate</a></li><li class="c4">Stephen Few’s <a href="http://sfew.websitetoolbox.com/post/information-visualization-research-as-pseudoscience-7813635?pid=1290128148">Visualization research a pseudoscience</a></li><li class="c4"><a href="http://www.chadskelton.com/2015/12/in-defence-of-data-visualization-rules.html">Dogmatic rules vs. flexibility</a></li></ul><p class="c5"><strong><span class="c9">Great New Visualizations</span></strong></p><h3 class="c5"><img data-attachment-id="1164" data-permalink="http://datastori.es/what-happened-in-vis-in-2015-year-review-with-andy-kirk-and-robert-kosara-ds65/deepvis_fc8_visualized_sample_small/" data-orig-file="http://datastori.es/wp-content/uploads/2015/12/deepvis_fc8_visualized_sample_small.jpg" data-orig-size="888,616" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="deepvis_fc8_visualized_sample_small" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/12/deepvis_fc8_visualized_sample_small-300x208.jpg" data-large-file="http://datastori.es/wp-content/uploads/2015/12/deepvis_fc8_visualized_sample_small.jpg" class="alignnone wp-image-1164" src="http://datastori.es/wp-content/uploads/2015/12/deepvis_fc8_visualized_sample_small.jpg" alt="deepvis_fc8_visualized_sample_small" width="350" height="246" /><br />understanding neural networks through deep visualization</h3><ul class="c2 lst-kix_xctktt9dxq1m-0 start"><li class="c4"><a href="http://dear-data.com">Dear Data</a><ul><li class="c4">Hear our <a href="http://datastori.es/dear-data-with-giorgia-lupi-and-stefanie-posavec-ds64/">episode</a> with Dear Data</li></ul></li><li class="c4"><a href="http://www.bloomberg.com/graphics/2015-pace-of-social-change/">Pace of social change</a></li><li class="c4"><a href="http://www.vox.com/2015/10/26/9469793/tax-brackets">100 years of Tax Brackets</a></li><li class="c4"><a href="http://www.nytimes.com/interactive/2015/05/28/upshot/you-draw-it-how-family-income-affects-childrens-college-chances.html?rref=upshot&_r=0">Draw how family income affects children’s college chances </a></li><li class="c4">Visualization of what neural networks see “<a href="http://googleresearch.blogspot.com/2015/06/inceptionism-going-deeper-into-neural.html">Inceptionism: Going Deeper into Neural Networks</a>” and “<a href="http://yosinski.com/deepvis">Understanding Neural Networks Through Deep Visualization</a>”</li><li class="c4"><a href="http://www.bloomberg.com/graphics/2015-whats-warming-the-world/">What’s really warming the world?</a></li><li class="c4"><a href="http://networkeffect.io">Network effect</a></li><li class="c4"><a href="https://vimeo.com/118854978">Seagull sky trails</a></li><li class="c4"><a href="http://www.nytimes.com/interactive/2015/12/16/upshot/fed-interest-rates-rube-goldberg-machine.html?_r=0">What Happens When the Fed Raises Rates, In One Rube Goldberg Machine </a></li></ul><p class="c5"><strong><span class="c9">Research/Academic Developments</span></strong></p><h3 class="c5"><em><img data-attachment-id="1183" data-permalink="http://datastori.es/what-happened-in-vis-in-2015-year-review-with-andy-kirk-and-robert-kosara-ds65/screen-shot-2015-12-18-at-11-43-57-am/" data-orig-file="http://datastori.es/wp-content/uploads/2015/12/Screen-Shot-2015-12-18-at-11.43.57-AM.png" data-orig-size="812,736" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="Connected Scatter Plots" data-image-description="<p>Connected Scatter Plots</p>" data-medium-file="http://datastori.es/wp-content/uploads/2015/12/Screen-Shot-2015-12-18-at-11.43.57-AM-300x272.png" data-large-file="http://datastori.es/wp-content/uploads/2015/12/Screen-Shot-2015-12-18-at-11.43.57-AM.png" class="wp-image-1183 alignnone" src="http://datastori.es/wp-content/uploads/2015/12/Screen-Shot-2015-12-18-at-11.43.57-AM.png" alt="Connected Scatter Plots" width="350" height="319" /></em><br />CONNECTED SCATTER PLOT STUDY BY HAROZ, KOSARA AND FRANCONERI</h3><ul class="c2 lst-kix_3xh97nfm1iyg-0 start"><li class="c4">Papers on presentation-related topics (ISOTYPE, Connected Scatterplot, Bar chart embellishments)<ul><li class="c4">ISOTYPE: <a href="http://steveharoz.com/research/isotype/">http://steveharoz.com/research/isotype/</a></li><li class="c3">Connected Scatterplot: <a href="http://steveharoz.com/research/connected_scatterplot/">http://steveharoz.com/research/connected_scatterplot/</a></li><li class="c3">Bar chart Embellishments: <span class="c0"><a class="c1" href="https://www.google.com/url?q=http://kosara.net/papers/2015/Skau-EuroVis-2015.pdf&sa=D&usg=AFQjCNF5lbcufEV31siMB_X_kEGHY8sgNQ">http://kosara.net/papers/2015/Skau-EuroVis-2015.pdf</a></span></li></ul></li></ul><ul class="c2 lst-kix_3xh97nfm1iyg-0"><li class="c4">Enrico’s <a href="http://fellinlovewithdata.com/research/deceptive-visualizations">deceiving vis paper</a> at CHI</li><li class="c4"><a href="http://vcg.seas.harvard.edu/files/pfister/files/infovis_submission251-camera.pdf">Borkin et al</a>. on Memorability at VIS<ul><li class="c4">Hear our <a href="http://datastori.es/vis15-recap-with-robert-kosara-and-johanna-fulda-ds-63/">episode</a> on the IEEE VIS ’15 Conference</li></ul></li><li class="c4"><a href="http://seeingdata.org">Seeing Data</a> – Visualisation Literacy</li><li class="c4"><span class="c11 c14"><a href="https://www.computer.org/csdl/trans/tg/preprint/07192668.pdf">How do People Make Sense of Unfamiliar Visualization? A Grounded Model of Novice’s Information Visualization Sensemaking</a></span><span class="c14 c16"> by Sukwon Lee, Sung-Hee Kim, Ya-Hsin Hung, Heidi Lam, Youn-ah Kang, and Ji Soo Yi </span></li></ul><ul class="c2 lst-kix_3xh97nfm1iyg-1 start"><li class="c3"><span class="c0">Personal visualization: e.g. <a class="c1" href="https://www.google.com/url?q=http://hcitang.org/papers/2015-tvcg-pva.pdf&sa=D&usg=AFQjCNFQZ6-5_rEeNuCI3k0US4-lza9aCg">http://hcitang.org/papers/2015-tvcg-pva.pdf</a> and </span><span class="c0"><a class="c1" href="https://www.google.com/url?q=http://www.computer.org/csdl/mags/cg/preprint/07106391.pdf&sa=D&usg=AFQjCNFmpy--0O9dl_Xnn_wP5rBW0m89gA">http://www.computer.org/csdl/mags/cg/preprint/07106391.pdf</a></span></li></ul><p class="c5"><strong><span class="c9">Notable People, Companies, Studios</span></strong></p><h3 class="c5"><img data-attachment-id="1154" data-permalink="http://datastori.es/what-happened-in-vis-in-2015-year-review-with-andy-kirk-and-robert-kosara-ds65/6-domestic-data-streamers/" data-orig-file="http://datastori.es/wp-content/uploads/2015/12/6.-domestic-data-streamers.jpg" data-orig-size="600,337" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="6. domestic data streamers" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/12/6.-domestic-data-streamers-300x169.jpg" data-large-file="http://datastori.es/wp-content/uploads/2015/12/6.-domestic-data-streamers.jpg" class="alignnone wp-image-1154" src="http://datastori.es/wp-content/uploads/2015/12/6.-domestic-data-streamers.jpg" alt="6. domestic data streamers" width="350" height="201" /><br />Domestic Data streamers</h3><ul class="c2 lst-kix_g2nc7lcdilh0-0 start"><li class="c4">Bostock leaving NYT, Shan Carter, the rising star of Gregor Aisch</li><li class="c4">Chad Skelton leaving Vancouver Sun</li><li class="c4">Notable appointments at FT (Alan Smith OBE)</li></ul><ul class="c2 lst-kix_dh3tcjnjyyw4-0 start"><li class="c4">London: <a href="http://aftertheflood.co">After the flood</a>, <a href="http://signal-noise.co.uk">Signal/Noise</a>, <a href="http://tekja.com">Tekja</a></li><li class="c4"><a href="http://domesticstreamers.com/portfolio/yotta/">Domestic Data Streamers</a><ul><li class="c4">Hear our <a href="http://datastori.es/data-stories-58-domestic-data-streamers/">episode</a> on Domestic Data Streamers</li></ul></li></ul><p class="c5"><strong><span class="c9">New Books</span></strong></p><p class="c5"><img data-attachment-id="1185" data-permalink="http://datastori.es/what-happened-in-vis-in-2015-year-review-with-andy-kirk-and-robert-kosara-ds65/vadbook/" data-orig-file="http://datastori.es/wp-content/uploads/2015/12/vadbook.png" data-orig-size="329,400" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="Book: Visualization Analysis and Design" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/12/vadbook-247x300.png" data-large-file="http://datastori.es/wp-content/uploads/2015/12/vadbook.png" class=" wp-image-1185 alignnone" src="http://datastori.es/wp-content/uploads/2015/12/vadbook.png" alt="Book: Visualization Analysis and Design" width="240" height="289" /></p><ul class="c2 lst-kix_j66blu29tu2g-0 start"><li class="c4">Tamara Munzner, <span class="c11"><a href="https://www.crcpress.com/Visualization-Analysis-and-Design/Munzner/9781466508910">Visualization Analysis and Design</a></span><ul><li class="c4">Hear our <a href="http://datastori.es/data-stories-44/">episode</a> with Tamara Munzner</li></ul></li><li class="c4">Stephanie Evergreen, <span class="c11"><a href="http://stephanieevergreen.com/book/">Presenting Data Effectively: Communicating Your Findings for Maximum Impact</a></span></li><li class="c4">Cole Nussbaumer Knaflic, <span class="c11"><a href="http://www.storytellingwithdata.com">Storytelling with Data</a></span></li></ul><p>New titles coming up:</p><p><img data-attachment-id="1155" data-permalink="http://datastori.es/what-happened-in-vis-in-2015-year-review-with-andy-kirk-and-robert-kosara-ds65/7-cairo-the-truthful-art/" data-orig-file="http://datastori.es/wp-content/uploads/2015/12/7.-cairo-the-truthful-art.jpg" data-orig-size="389,499" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="7. cairo the truthful art" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/12/7.-cairo-the-truthful-art-234x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2015/12/7.-cairo-the-truthful-art.jpg" class="alignnone wp-image-1155" src="http://datastori.es/wp-content/uploads/2015/12/7.-cairo-the-truthful-art.jpg" alt="7. cairo the truthful art" width="240" height="305" /></p><ul class="c2 lst-kix_j66blu29tu2g-0"><li class="c4">Andy Kirk’s new book “<a href="http://www.amazon.com/Data-Visualisation-Handbook-Driven-Design/dp/147391213X">Data Visualisation: A Handbook for Data-Driven Design</a>”, May 2016</li><li class="c4">Alberto Cairo’s new book “<a href="http://www.amazon.com/The-Truthful-Art-Charts-Communication/dp/0321934075">The Truthful Art</a>”<ul><li class="c4">Hear our <a href="http://datastori.es/data-stories-35-visual-storytelling-w-alberto-cairo-and-robert-kosara/">episode</a> with Alberto Cairo and Robert Kosara</li></ul></li><li class="c4"><a href="http://www.thebookseller.com/news/particular-books-signs-infographic-artist-pen-pals-317006">Dear Data book</a> (September 2016)</li></ul><p class="c5"><strong><span class="c9">Blogs</span></strong></p><h3 class="c5"><img data-attachment-id="1166" data-permalink="http://datastori.es/what-happened-in-vis-in-2015-year-review-with-andy-kirk-and-robert-kosara-ds65/1wiwoe_4_400x400/" data-orig-file="http://datastori.es/wp-content/uploads/2015/12/1WIwOE_4_400x400.png" data-orig-size="400,400" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="1WIwOE_4_400x400" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/12/1WIwOE_4_400x400-300x300.png" data-large-file="http://datastori.es/wp-content/uploads/2015/12/1WIwOE_4_400x400.png" class="alignnone wp-image-1166" src="http://datastori.es/wp-content/uploads/2015/12/1WIwOE_4_400x400.png" alt="1WIwOE_4_400x400" width="190" height="190" srcset="http://datastori.es/wp-content/uploads/2015/12/1WIwOE_4_400x400.png 400w, http://datastori.es/wp-content/uploads/2015/12/1WIwOE_4_400x400-150x150.png 150w, http://datastori.es/wp-content/uploads/2015/12/1WIwOE_4_400x400-300x300.png 300w" sizes="(max-width: 190px) 100vw, 190px" /><br />visualising data BLOG</h3><ul class="c2 lst-kix_5usfed62rip6-0 start"><li class="c4">This guy Andy’s <a href="http://www.visualisingdata.com/">website</a> (Kantar Information Is Beautiful Award)</li><li class="c4"><a href="http://www.visualcomplexity.com/vc/">Visual Complexity</a> – 10 years! 1000 projects!</li><li class="c4"><a href="https://www.reddit.com/r/dataisbeautiful/">Reddit AMAs</a> (Alberto, Tamara, Robert, Nate Silver, Hadley Wickham, David McCandless, Nathan Yau, Mike Bostock)</li><li class="c4"><a href="https://eagereyes.org/">Eagereyes</a> (not new but still awesome)</li><li class="c4"><a href="https://flowingdata.com/">Flowingdata</a></li></ul><p class="c5"><strong><span class="c9">Podcasts</span></strong></p><p class="c5"> <img data-attachment-id="1162" data-permalink="http://datastori.es/what-happened-in-vis-in-2015-year-review-with-andy-kirk-and-robert-kosara-ds65/dataskeptic-podcast-1/" data-orig-file="http://datastori.es/wp-content/uploads/2015/12/DataSkeptic-Podcast-1.jpg" data-orig-size="3000,3000" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="DataSkeptic-Podcast-1" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/12/DataSkeptic-Podcast-1-300x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2015/12/DataSkeptic-Podcast-1-1024x1024.jpg" class="alignnone wp-image-1162" src="http://datastori.es/wp-content/uploads/2015/12/DataSkeptic-Podcast-1.jpg" alt="DataSkeptic-Podcast-1" width="200" height="200" srcset="http://datastori.es/wp-content/uploads/2015/12/DataSkeptic-Podcast-1.jpg 3000w, http://datastori.es/wp-content/uploads/2015/12/DataSkeptic-Podcast-1-150x150.jpg 150w, http://datastori.es/wp-content/uploads/2015/12/DataSkeptic-Podcast-1-300x300.jpg 300w, http://datastori.es/wp-content/uploads/2015/12/DataSkeptic-Podcast-1-768x768.jpg 768w, http://datastori.es/wp-content/uploads/2015/12/DataSkeptic-Podcast-1-1024x1024.jpg 1024w" sizes="(max-width: 200px) 100vw, 200px" /></p><ul class="c2 lst-kix_hlilryeq0pbq-0 start"><li class="c4"><a href="http://policyviz.com/the-policyviz-podcast/">PolicyViz</a></li><li class="c4"><a href="http://dataskeptic.com/">Data Skeptic</a></li><li class="c4"><a href="http://www.wannabeawesomeme.com/the-tableau-wannabe-podcast">Tableau Wannabe Podcast</a></li></ul><p class="c5"><strong><span class="c9">Software / Libraries / Tools</span></strong></p><h3 class="c5"><a href="http://datastori.es/wp-content/uploads/2015/12/Screen-Shot-2015-12-18-at-12.03.16-PM.png"><img data-attachment-id="1186" data-permalink="http://datastori.es/what-happened-in-vis-in-2015-year-review-with-andy-kirk-and-robert-kosara-ds65/screen-shot-2015-12-18-at-12-03-16-pm/" data-orig-file="http://datastori.es/wp-content/uploads/2015/12/Screen-Shot-2015-12-18-at-12.03.16-PM.png" data-orig-size="1208,710" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="Voyager" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/12/Screen-Shot-2015-12-18-at-12.03.16-PM-300x176.png" data-large-file="http://datastori.es/wp-content/uploads/2015/12/Screen-Shot-2015-12-18-at-12.03.16-PM-1024x602.png" class="wp-image-1186 alignnone" src="http://datastori.es/wp-content/uploads/2015/12/Screen-Shot-2015-12-18-at-12.03.16-PM-1024x602.png" alt="Voyager" width="450" height="269" /></a><br />VOYAGER VISUALIZATION TOOL DEVELOPED AT IDL FROM UW</h3><ul class="c2 lst-kix_dpzebicx2ikj-0"><li class="c4"><a href="https://vizable.tableau.com/">Vizable</a></li><li class="c4">The end of Many Eyes</li><li class="c4"><a href="https://vega.github.io/">Vega</a>, Vegalite, etc. vs. D3</li><li class="c4"><a href="https://github.com/Brunel-Visualization/Brunel">Brunel</a></li><li class="c4"><a href="https://github.com/vega/voyager">Voyager</a> and related tools</li><li class="c4"><a href="https://www.trifacta.com/products/wrangler/">Trifacta</a> Data Wrangling tool</li><li class="c4"><a href="https://github.com/reactjs">React.js</a></li><li class="c4"><a href="https://mapzen.com/">Mapzen</a>, <a href="https://cartodb.com/">CartoDB</a>, <a href="https://www.mapbox.com/">Mapbox</a></li></ul><p class="c5"><strong><span class="c9">Events and specific talks</span></strong></p><p class="c5"><img data-attachment-id="1163" data-permalink="http://datastori.es/what-happened-in-vis-in-2015-year-review-with-andy-kirk-and-robert-kosara-ds65/openvis-conference-2015-680x490/" data-orig-file="http://datastori.es/wp-content/uploads/2015/12/Openvis-Conference-2015-680x490.png" data-orig-size="680,490" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="Openvis-Conference-2015-680×490" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/12/Openvis-Conference-2015-680x490-300x216.png" data-large-file="http://datastori.es/wp-content/uploads/2015/12/Openvis-Conference-2015-680x490.png" class="alignnone wp-image-1163" src="http://datastori.es/wp-content/uploads/2015/12/Openvis-Conference-2015-680x490.png" alt="Openvis-Conference-2015-680x490" width="350" height="255" /></p><p class="c5"><span class="c9 c10">What was your highlight?</span></p><ul class="c2 lst-kix_xpjxlh6jx0u7-0 start"><li class="c4"><a href="https://openvisconf.com/">OpenVis Conference</a></li><li class="c4"><a href="https://openvisconf.com/">Visualized</a></li><li class="c4"><a href="http://resonate.io/2016/">resonate</a></li><li class="c4"><a href="http://artbits.pl/en/">art+bits</a></li><li class="c4"><a href="http://www.tapestryconference.com">Tapestry</a></li><li class="c4"><a href="https://www.propublica.org/nerds/item/on-repeat-how-to-use-loops-to-explain-anything">Loops talk</a> by Lena Groeger</li></ul><p class="c5"><strong><span class="c9">What’s next in 2016? Wishes?</span></strong></p><p class="c5"><img data-attachment-id="1160" data-permalink="http://datastori.es/what-happened-in-vis-in-2015-year-review-with-andy-kirk-and-robert-kosara-ds65/happy-new-year-around-the-world/" data-orig-file="http://datastori.es/wp-content/uploads/2015/12/happy-new-year-around-the-world.png" data-orig-size="620,301" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="happy new year around the world" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/12/happy-new-year-around-the-world-300x146.png" data-large-file="http://datastori.es/wp-content/uploads/2015/12/happy-new-year-around-the-world.png" class="alignnone wp-image-1160" src="http://datastori.es/wp-content/uploads/2015/12/happy-new-year-around-the-world.png" alt="happy new year around the world" width="389" height="193" /></p><ul class="c2 lst-kix_iayvzg43a9e-0 start"><li class="c4"><a href="http://datastori.es/data-stories-46-year-2014-review-w-robert-kosara-and-andy-kirk/#t=1:09:15.746">Our expectations</a> from last year’s edition</li></ul><p><strong>Happy New Year Everyone!</strong></p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/89-data-vis-around-the-world-in-2016/">89 | Data Vis Around the World in 2016</a> </li> </ul>"" | |||||||||||||||||||
37 | 64 | Wed, 25 Nov 2015 14:55:06 +0000 | 64 | “Dear Data” with Giorgia Lupi and Stefanie Posavec | Project | 2 | F | 0:33:17 | http://datastori.es/dear-data-with-giorgia-lupi-and-stefanie-posavec-ds64/ | http://datastori.es/podlove/file/1582/s/feed/c/podcast/dear-data-with-giorgia-lupi-and-stefanie-posavec-ds64.m4a | 00:00:17.659: Our sponsor: Qlik | 00:01:27.888: What is Dear Data? | 00:05:58.643: How did you decide on the presentation form/medium chosen? | 00:08:43.714: How did you decide to draw personal data? | 00:11:01.645: Slow Data / Stephen Few | 00:11:33.444: How did the design process work? | 00:13:16.335: What was the process like for gathering the data? When did you gather and when did you draw? | 00:14:08.167: How long does it take to draw one? | 00:15:03.412: Our sponsor: Qlik | 00:16:32.385: How accurate is the drawing of your data? Is it a 1:1 drawing-data relationship? | 00:17:42.117: How did you acquire the data? | 00:21:09.085: What did you learn from the data? Insights? | 00:25:44.115: How was it used and received? | 00:28:50.137: Advice for someone else trying a similar project? | 00:31:46.358: Rate us and get in touch | 00:32:48.617: Our sponsor: Qlik | | 16 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/1579/s/download/c/buttonlist/dear-data-with-giorgia-lupi-and-stefanie-posavec-ds64.mp3">MP3 Audio<span class="size">32 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/1582/s/download/c/buttonlist/dear-data-with-giorgia-lupi-and-stefanie-posavec-ds64.m4a">MPEG-4 AAC Audio<span class="size">26 MB</span></a> </li> </ul><div style="clear: both"></div><p><img data-attachment-id="1105" data-permalink="http://datastori.es/dear-data-with-giorgia-lupi-and-stefanie-posavec-ds64/stefanie_deardata_14front/" data-orig-file="http://datastori.es/wp-content/uploads/2015/11/Stefanie_DearData_14-front.jpg" data-orig-size="1000,661" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"1"}" data-image-title="Stefanie_DearData_14+front" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/11/Stefanie_DearData_14-front-300x198.jpg" data-large-file="http://datastori.es/wp-content/uploads/2015/11/Stefanie_DearData_14-front.jpg" class="alignnone size-full wp-image-1105" src="http://datastori.es/wp-content/uploads/2015/11/Stefanie_DearData_14-front.jpg" alt="Stefanie_DearData_14+front" width="1000" height="661" srcset="http://datastori.es/wp-content/uploads/2015/11/Stefanie_DearData_14-front.jpg 1000w, http://datastori.es/wp-content/uploads/2015/11/Stefanie_DearData_14-front-300x198.jpg 300w, http://datastori.es/wp-content/uploads/2015/11/Stefanie_DearData_14-front-454x300.jpg 454w" sizes="(max-width: 1000px) 100vw, 1000px" /></p><p>Hey folks,</p><p>It’s time for another project-centric episode, and we finally talk about one of our favorite projects of the year — <a href="http://www.dear-data.com">“Dear Data”</a> by the most fabulous tag team of data illustrators around: <a href="https://twitter.com/giorgialupi">Giorgia Lupi</a> and <a href="https://twitter.com/stefpos">Stefanie Posavec</a>.</p><p><img data-attachment-id="1103" data-permalink="http://datastori.es/dear-data-with-giorgia-lupi-and-stefanie-posavec-ds64/gmpjzpkn/" data-orig-file="http://datastori.es/wp-content/uploads/2015/11/gMpjZpkN.jpeg" data-orig-size="1224,1224" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="gMpjZpkN" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/11/gMpjZpkN-300x300.jpeg" data-large-file="http://datastori.es/wp-content/uploads/2015/11/gMpjZpkN-1024x1024.jpeg" class="alignleft wp-image-1103" src="http://datastori.es/wp-content/uploads/2015/11/gMpjZpkN.jpeg" alt="gMpjZpkN" width="42%" height="auto" srcset="http://datastori.es/wp-content/uploads/2015/11/gMpjZpkN.jpeg 1224w, http://datastori.es/wp-content/uploads/2015/11/gMpjZpkN-150x150.jpeg 150w, http://datastori.es/wp-content/uploads/2015/11/gMpjZpkN-300x300.jpeg 300w, http://datastori.es/wp-content/uploads/2015/11/gMpjZpkN-1024x1024.jpeg 1024w" sizes="(max-width: 1224px) 100vw, 1224px" /></p><p><img data-attachment-id="1104" data-permalink="http://datastori.es/dear-data-with-giorgia-lupi-and-stefanie-posavec-ds64/pbez9eh6/" data-orig-file="http://datastori.es/wp-content/uploads/2015/11/pBEz9eH6.jpeg" data-orig-size="1295,1295" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="pBEz9eH6" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/11/pBEz9eH6-300x300.jpeg" data-large-file="http://datastori.es/wp-content/uploads/2015/11/pBEz9eH6-1024x1024.jpeg" class="alignleft wp-image-1104" src="http://datastori.es/wp-content/uploads/2015/11/pBEz9eH6.jpeg" alt="pBEz9eH6" width="42%" height="auto" srcset="http://datastori.es/wp-content/uploads/2015/11/pBEz9eH6.jpeg 1295w, http://datastori.es/wp-content/uploads/2015/11/pBEz9eH6-150x150.jpeg 150w, http://datastori.es/wp-content/uploads/2015/11/pBEz9eH6-300x300.jpeg 300w, http://datastori.es/wp-content/uploads/2015/11/pBEz9eH6-1024x1024.jpeg 1024w" sizes="(max-width: 1295px) 100vw, 1295px" /></p><p>Their year-long project is about how “two women who switched continents get to know each other through the data they draw and send across the pond” and consists of 104 hand–drawn postcards all of which document one week of their lives. How much they cursed, laughed, read, smiled at strangers, … — all of this is documented in inventive, charming and very analogue ways.</p><p>Learn all about the project — how they started it, what they learned, and how it will live on — in the episode.</p><p>Links mentioned:</p><ul><li>Yay for <a href="https://www.perceptualedge.com/blog/?p=1460">slow data</a>!</li><li><span style="font-weight: 400;">Reporter app: </span><a href="http://www.reporter-app.com/"><span style="font-weight: 400;">http://www.reporter-app.com/</span></a></li><li><span style="font-weight: 400;">Notebook app: </span><a href="http://www.notebooksapp.com/"><span style="font-weight: 400;">http://www.notebooksapp.com/</span></a></li></ul><p>And read the episode transcript <a href="https://docs.google.com/document/d/1R0BW-962OR3vd_jZ4_w378Gr1DRch-r0zRnxH7EPPug/edit?usp=sharing">here</a>!</p><hr /><p><span style="font-weight: 400;">Data Stories is brought to you by <a href="http://www.qlik.de/datastories">Qlik</a>, who allow you to explore the hidden relationships within your data that lead to meaningful insights. Check out this fun experiment on the qlik blog: <a href="http://global.qlik.com/us/blog/posts/mark-bilotta/what-chart-are-you">“What Chart are You?”</a>. And, m</span><span style="font-weight: 400;">ake sure to try out Qlik Sense, which you can download for free at</span><span style="font-weight: 400;"><a href="http://www.qlik.de/datastories"> www.qlik.de/datastories</a>.</span></p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/87-vizkidz-books-on-data-visualization-for-kids/">87 | VizKidz: Books on Data Visualization for Kids</a> </li> <li> <a href="http://datastori.es/88-re-designing-visualizations-on-makeovermonday-with-andy-kriebel-and-andy-cotgreave/">88 | Re-designing Visualizations on #MakeoverMonday with Andy Kriebel and Andy Cotgreave</a> </li> <li> <a href="http://datastori.es/93-oddityviz-with-valentina-defilippo-and-miriam-quick/">93 | OddityViz with Valentina D’Efilippo and Miriam Quick</a> </li> <li> <a href="http://datastori.es/98-data-sketches-with-nadieh-bremer-and-shirley-wu/">98 | Data Sketches with Nadieh Bremer and Shirley Wu</a> </li> </ul>"" | |||||||||||||||||||
38 | 63 | Fri, 13 Nov 2015 15:35:47 +0000 | 63 | IEEE VIS’15 Recap with Robert Kosara and Johanna Fulda | Conference | 2 | MIXED | 1:09:05 | http://datastori.es/vis15-recap-with-robert-kosara-and-johanna-fulda-ds-63/ | http://datastori.es/podlove/file/1419/s/feed/c/podcast/vis15-recap-with-robert-kosara-and-johanna-fulda.m4a | 00:00:10.949: Our sponsor: Qlik | 00:00:44.016: Intro VIS '15 | 00:02:34.746: Our guests: Robert Kosara & Johanna Fulda | 00:04:39.991: Tutorial: Visualization Analysis and Design by Tamara Munzner | 00:06:04.905: Symposium: Visualization in Data Science (VDS) | 00:07:12.836: Keynote: Donna Cox on "An Evolving Visual Language: Connecting General Audiences to Science through Data Visualization" | 00:10:50.717: VAST Paper: Probing Projections: Interaction Techniques for Interpreting Arrangements and Errors of Dimensionality Reductions | 00:12:58.281: VAST Best Paper: Reducing Snapshots to Points: A Visual Analytics Approach to Dynamic Network Exploration | 00:15:28.618: Panel: Color Mapping in VIS | 00:19:57.640: Panel: Vis in the real world | 00:21:18.115: InfoVis Best Paper: HOLA: Human-like Orthogonal Network Layout (best paper) | 00:24:19.715: VAST Paper: Personal Visualization and Personal Visual Analytics | 00:25:16.811: CG&A Paper: Understanding Digital Note-Taking Practice for Visualization | 00:27:05.391: Our sponsor: Qlik | 00:29:14.850: InfoVis Paper: Visually comparing weather features in forecasts | 00:32:18.437: TVCG Paper: Bridging Theory with Practice: An Exploratory Study of Visualization Use and Design for Climate Model Comparison | 00:34:50.322: InfoVis Paper:Matches, Mismatches, and Methods: Multiple-View Workflows for Energy Portfolio Analysis | 00:36:14.356: InfoVis Paper: Poemage: Visualizing the Sonic Topology of a Poem | 00:40:12.170: InfoVis Paper: Spatial Reasoning and Data Displays | 00:42:01.935: Panel: Solved Problems in Visualization | 00:46:48.058: Robert explains what VIS stands for | 00:48:12.744: InfoVis Paper: Beyond Memorability: Visualization Recognition and Recall | 00:52:01.630: InfoVis Paper: Suggested Interactivity: Seeking Perceived Affordances for Information Visualization | 00:54:20.823: InfoVis Paper: Voyager + Vega | 00:57:17.860: Panel: Vis, The Next Generation: Teaching Across the Researcher-Practitioner Gap | 01:01:25.087: InfoVis Paper: Off the Radar: Comparative Evaluation of Radial Visualization Solutions for Composite Indicators | 01:02:25.833: VAST Paper: TimeLineCurator: Interactive Authoring of Visual Timelines from Unstructured Text | 01:04:20.619: Major trends at IEEE VIS '15 and new things | 01:07:01.834: Robert becomes even with Andy Kirk! :) | 01:07:37.840: Rate us and get in touch | 01:08:39.822: Our sponsor: Qlik | | 31 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/1420/s/download/c/buttonlist/vis15-recap-with-robert-kosara-and-johanna-fulda.mp3">MP3 Audio<span class="size">64 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/1419/s/download/c/buttonlist/vis15-recap-with-robert-kosara-and-johanna-fulda.m4a">MPEG-4 AAC Audio<span class="size">50 MB</span></a> </li> </ul><div style="clear: both"></div><p><a href="http://datastori.es/wp-content/uploads/2015/11/VIS15-banner.jpg"><img data-attachment-id="1078" data-permalink="http://datastori.es/vis15-banner/" data-orig-file="http://datastori.es/wp-content/uploads/2015/11/VIS15-banner.jpg" data-orig-size="552,172" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"1382355417","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"1"}" data-image-title="VIS15-banner" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/11/VIS15-banner-300x93.jpg" data-large-file="http://datastori.es/wp-content/uploads/2015/11/VIS15-banner.jpg" class="aligncenter size-full wp-image-1078" src="http://datastori.es/wp-content/uploads/2015/11/VIS15-banner.jpg" alt="VIS15-banner" width="552" height="172" srcset="http://datastori.es/wp-content/uploads/2015/11/VIS15-banner.jpg 552w, http://datastori.es/wp-content/uploads/2015/11/VIS15-banner-300x93.jpg 300w, http://datastori.es/wp-content/uploads/2015/11/VIS15-banner-500x156.jpg 500w" sizes="(max-width: 552px) 100vw, 552px" /></a></p><p><span style="font-weight: 400;">In our latest episode, Enrico recaps the <a href="https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=33645">IEEE VIS’15 conference</a> with <a href="https://t.co/zjO1y2YGKg">Robert Kosara</a> </span><span style="font-weight: 400;">and <a href="http://www.johannafulda.de/">Johanna Fulda</a>, and w</span><span style="font-weight: 400;">e compare notes about conference projects and papers. Find the transcript <a href="https://docs.google.com/document/d/1gnv5tuIpVdf3n0JiX90Yku45bSST1Xn4ijSkFyIX_NE/edit?usp=sharing" target="_blank">here</a>, and check out our long list of selected projects below with plenty of links and video previews!</span></p><p><span id="more-1057"></span></p><hr /><p><span style="font-weight: 400;">Data Stories is brought to you by <a href="http://www.qlik.com/products/qlik-sense/desktop?sourceID1=datastories">Qlik</a>, who allows you to explore the hidden relationships within your data that lead to meaningful insights. Check out a new blog post from the <a href="http://global.qlik.com/cn/blog">Qlik Blog</a> called “<a href="http://global.qlik.com/cn/blog/posts/murray-grigo-mcmahon/people-are-srmat-data-literacy-and-broad-audiences">People Are Smart: Data Literacy and Broad Audiences</a>”. As you may know Data Literacy is a subject we love to talk about! <img src="https://s.w.org/images/core/emoji/2.2.1/72x72/1f642.png" alt="🙂" class="wp-smiley" style="height: 1em; max-height: 1em;" /></span></p><hr /><p><strong>LINKS, IMAGES, AND VIDEO PREVIEWS</strong></p><p><strong>1. Tutorial: <a href="http://www.cs.ubc.ca/~tmm/">Tamara Munzner</a> </strong>on<strong> Visualization Analysis and Design</strong></p><p><a href="http://datastori.es/wp-content/uploads/2015/11/01_1_tamara-tutorial.jpg"><img data-attachment-id="1046" data-permalink="http://datastori.es/01_1_tamara-tutorial/" data-orig-file="http://datastori.es/wp-content/uploads/2015/11/01_1_tamara-tutorial.jpg" data-orig-size="954,1200" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"1446813074","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"1"}" data-image-title="01_1_tamara-tutorial" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/11/01_1_tamara-tutorial-239x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2015/11/01_1_tamara-tutorial-814x1024.jpg" class="size-medium wp-image-1046 alignnone" src="http://datastori.es/wp-content/uploads/2015/11/01_1_tamara-tutorial-239x300.jpg" alt="01_1_tamara-tutorial" width="239" height="300" srcset="http://datastori.es/wp-content/uploads/2015/11/01_1_tamara-tutorial-239x300.jpg 239w, http://datastori.es/wp-content/uploads/2015/11/01_1_tamara-tutorial-814x1024.jpg 814w, http://datastori.es/wp-content/uploads/2015/11/01_1_tamara-tutorial.jpg 954w" sizes="(max-width: 239px) 100vw, 239px" /> <img data-attachment-id="1048" data-permalink="http://datastori.es/screen-shot-2015-11-11-at-3-22-35-pm/" data-orig-file="http://datastori.es/wp-content/uploads/2015/11/Screen-Shot-2015-11-11-at-3.22.35-PM.png" data-orig-size="811,603" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="Screen Shot 2015-11-11 at 3.22.35 PM" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/11/Screen-Shot-2015-11-11-at-3.22.35-PM-300x223.png" data-large-file="http://datastori.es/wp-content/uploads/2015/11/Screen-Shot-2015-11-11-at-3.22.35-PM.png" class="wp-image-1048 alignnone" src="http://datastori.es/wp-content/uploads/2015/11/Screen-Shot-2015-11-11-at-3.22.35-PM-300x223.png" alt="Screen Shot 2015-11-11 at 3.22.35 PM" width="264" height="199" /><br /></a></p><p>Check out her presentation slides <a href="http://www.cs.ubc.ca/~tmm/talks/minicourse14/halfdaycourse15.pdf">here</a>.</p><p><em>You’ll love this if: You want to get better at teaching in the design space.</em></p><p> </p><p><strong>2. Keynote: <a href="http://www.ncsa.illinois.edu/People/cox/">Donna Cox</a> </strong>on <strong>Scientific Visualization</strong></p><p><a href="http://datastori.es/wp-content/uploads/2015/11/02_1_keynote.jpg"><img data-attachment-id="1049" data-permalink="http://datastori.es/02_1_keynote/" data-orig-file="http://datastori.es/wp-content/uploads/2015/11/02_1_keynote.jpg" data-orig-size="1200,619" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"1446813297","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"1"}" data-image-title="02_1_keynote" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/11/02_1_keynote-300x155.jpg" data-large-file="http://datastori.es/wp-content/uploads/2015/11/02_1_keynote-1024x528.jpg" class="wp-image-1049 alignnone" src="http://datastori.es/wp-content/uploads/2015/11/02_1_keynote-300x155.jpg" alt="02_1_keynote" width="361" height="193" /></a></p><p>Check out her keynote description <a href="http://ieeevis.org/year/2015/info/overview-amp-topics/keynote">here</a>.</p><p><em>You’ll love this if: You want to use your scientific research to generate, analyze, and/or visualize data using advanced digital resources. And if you do, submit to this <a href="http://www.ncsa.illinois.edu/enabling/vis/cadens/cfp">call for participation</a>!</em></p><p> </p><p><strong>3. Presentation: <a href="http://julianstahnke.com/">Julian Stahnke</a> </strong>on <strong>Interaction and Multi-Dimensionality</strong></p><p><a href="http://datastori.es/wp-content/uploads/2015/11/02_2_probing-projections.png"><img data-attachment-id="1050" data-permalink="http://datastori.es/02_2_probing-projections/" data-orig-file="http://datastori.es/wp-content/uploads/2015/11/02_2_probing-projections.png" data-orig-size="1200,748" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="02_2_probing-projections" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/11/02_2_probing-projections-300x187.png" data-large-file="http://datastori.es/wp-content/uploads/2015/11/02_2_probing-projections-1024x638.png" class="wp-image-1050 alignnone" src="http://datastori.es/wp-content/uploads/2015/11/02_2_probing-projections-300x187.png" alt="02_2_probing-projections" width="356" height="227" /></a></p><p><a href="http://julianstahnke.com/probing-projections/">Probing Projections</a> helps to visualize similarities and differences in datasets by looking at data in different dimensions. Read the paper <a href="http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7192695&isnumber=4359476&url=http%3A%2F%2Fieeexplore.ieee.org%2Fstamp%2Fstamp.jsp%3Ftp%3D%26arnumber%3D7192695%26isnumber%3D4359476">here</a>.</p><p><em>You’ll love this if: You’ve always wanted to understand how multi-dimensional scaling works.</em></p><p> </p><p><strong>4. Presentation: <a href="http://www.win.tue.nl/~selzen/">Stef van den Elzen</a> </strong>on <strong>Network Representation through Time</strong></p><p><iframe src="https://player.vimeo.com/video/136206214" width="960" height="540" frameborder="0" title="VIS15 preview: Reducing Snapshots to Points: A Visual Analytics Approach to Dynamic Network Exploration" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe></p><p>Stef van den Elzen has figured out how to represent changing networks on a scatterplot with multidimensional scaling. Read the paper <a href="http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7192717&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7192717">here</a>.</p><p><em>You’ll love this if: You’ve been wondering how to represent changing relationships over time.</em></p><p> </p><p><strong>5. Presentation: <a href="http://skieffer.info/">Steve Kieffer</a> </strong>on <strong>Human Network Creation</strong></p><p><iframe src="https://player.vimeo.com/video/136205841" width="960" height="540" frameborder="0" title="VIS15 preview: HOLA: Human-like Orthogonal Network Layout" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe></p><p>Steve Kieffer and his team developed a new automatic network layout algorithm to mirror the way networks are represented by actual people, rather than computers. Read the paper <a href="http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7192690&isnumber=4359476&url=http%3A%2F%2Fieeexplore.ieee.org%2Fstamp%2Fstamp.jsp%3Ftp%3D%26arnumber%3D7192690%26isnumber%3D4359476">here</a>.</p><p><em>You’ll love this if: You’re curious to see how humans and computers map networks differently — and you want to know how closely an algorithm can mimic human design.</em></p><p> </p><p><strong>6. Presentation: <a href="http://webhome.cs.uvic.ca/~mtory/">Melanie Tory</a> </strong>on <strong>Personal Data Visualization</strong></p><p><iframe src="https://player.vimeo.com/video/136210716" width="960" height="540" frameborder="0" title="VIS15 preview: Personal Visualization and Personal Visual Analytics" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe></p><p>Melanie Tory presents a taxonomy of design for individuals to visualize and analyze their personal data. Read the paper <a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6908006">here</a>.</p><p><em>You’ll love this if: You have a habit of collecting data about yourself.</em></p><p> </p><p><strong>7. Presentation: <a href="http://www.wjwillett.net/">Wesley Willet</a> </strong>on <strong>Visualizing Notes</strong></p><p><iframe src="https://player.vimeo.com/video/136249125" width="960" height="540" frameborder="0" title="VIS15 preview: Understanding Digital Note-Taking Practice for Visualization" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe></p><p>A look at how visualizations can help improve personal note-taking practices and information retention, read the paper <a href="https://hal.inria.fr/hal-01179038">here</a>.</p><p><em>You’ll love this if: You might like to learn to visualize your own notes, or improve your note-taking habits.</em></p><p> </p><p><strong>8. Presentation: <a href="http://www.sci.utah.edu/~samquinan/">P. Samuel Quinan</a> and <a href="https://www.cs.utah.edu/~miriah/">Miriah Meyer</a> </strong>on <strong>Visualizations in Weather Forecasts</strong></p><p><iframe src="https://player.vimeo.com/video/132377722" width="960" height="611" frameborder="0" title="WeaVER Overview" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe></p><p>WeaVER integrates existing conventions for visualizing weather forecasts with principles of effective design, and compares different features across a multitude of forecasting tools. See the project site <a href="http://www.sci.utah.edu/~samquinan/software/WeaVER/">here</a>.</p><p><em>You’ll love this if: You’re passionate about implementing visualization best practices in functional ways.</em></p><p> </p><p><strong>9. Presentation: <a href="http://vgc.poly.edu/~adasgupta/">Aritra Dasgupta</a> </strong>on <strong>Visualizing and Comparing Climate Models</strong></p><p><iframe src="https://player.vimeo.com/video/136210800" width="960" height="540" frameborder="0" title="VIS15 preview: Bridging Theory with Practice: An Exploratory Study of Visualization Use and Design for Climate Model..." webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe></p><p>Visualization experts and climate scientists worked together to develop a taxonomy to map climate patterns. Read the paper <a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7061479">here</a>.</p><p><em>You’ll love this if: You’re interested in cross-disciplinary collaboration between researchers, designers, and practitioners.</em></p><p> </p><p><strong>10. Presentation: <a href="http://ninamccurdy.com/">Nina McCurdy</a> </strong>on <strong>Poetry Visualization</strong></p><p><a href="http://datastori.es/wp-content/uploads/2015/11/03_5_poemage.png"><img data-attachment-id="1062" data-permalink="http://datastori.es/03_5_poemage/" data-orig-file="http://datastori.es/wp-content/uploads/2015/11/03_5_poemage.png" data-orig-size="1200,701" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="03_5_poemage" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/11/03_5_poemage-300x175.png" data-large-file="http://datastori.es/wp-content/uploads/2015/11/03_5_poemage-1024x598.png" class="wp-image-1062 alignnone" src="http://datastori.es/wp-content/uploads/2015/11/03_5_poemage-300x175.png" alt="03_5_poemage" width="425" height="255" /></a></p><p>Poemage visualizes the sonic topography of a poem. A tool for inspiration, it is designed to help poets see rhyme differently and come up with new ideas. See the project page <a href="http://www.sci.utah.edu/~nmccurdy/Poemage/">here</a>.</p><p><em>You’ll love this if: You appreciate computation tools that help us to celebrate ambiguity.</em></p><p> </p><p><strong>11. Presentation: <a href="http://people.seas.harvard.edu/~borkin/">Michelle Borkin</a> </strong>on<strong> Visualization Memorability </strong></p><p><iframe src="https://player.vimeo.com/video/137219625" width="960" height="540" frameborder="0" title="VIS15 preview: Beyond Memorability: Visualization Recognition and Recall" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe></p><p>How do we recall the visualizations that we have seen? Michelle Borkin and her team study human eye movements to find out. Read the paper <a href="http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7192646&isnumber=4359476&url=http%3A%2F%2Fieeexplore.ieee.org%2Fstamp%2Fstamp.jsp%3Ftp%3D%26arnumber%3D7192646%26isnumber%3D4359476">here</a>.</p><p><em>You’ll love this if: You’re interested in the user-side of data visualization.</em></p><p> </p><p><strong>12. Presentation: <a href="http://www.jyby.eu/">Jeremy Boy</a> </strong>on <strong>Visual Cues for Interactivity </strong></p><p><iframe src="https://player.vimeo.com/video/136205747" width="960" height="540" frameborder="0" title="VIS15 preview: Suggested Interactivity: Seeking Perceived Affordances for Information Visualization" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe></p><p>Do certain visual cues more effectively encourage participants to interact with a visualization? This is just one of the questions that interests Jeremy Boy. Read the paper <a href="http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7192637&isnumber=4359476&url=http%3A%2F%2Fieeexplore.ieee.org%2Fstamp%2Fstamp.jsp%3Ftp%3D%26arnumber%3D7192637%26isnumber%3D4359476">here</a>.</p><p><em>You’ll love this: You’d like some tricks and tools to increase user engagement.</em></p><p> </p><p><strong>13. New Tools: Voyager </strong>and <strong>Reactive V</strong><strong>ega</strong></p><p><iframe src="https://player.vimeo.com/video/136205686" width="960" height="540" frameborder="0" title="VIS15 preview: Voyager: Exploratory Analysis via Faceted Browsing of Visualization Recommendations" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe></p><p>Voyager suggests which kind of chart you should select, depending on your purposes. Read the paper about it <a href="http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7192728&isnumber=4359476&url=http%3A%2F%2Fieeexplore.ieee.org%2Fstamp%2Fstamp.jsp%3Ftp%3D%26arnumber%3D7192728%26isnumber%3D4359476">here</a>.</p><p><iframe src="https://player.vimeo.com/video/136205652" width="960" height="540" frameborder="0" title="VIS15 preview: Reactive Vega: A Streaming Dataflow Architecture for Declarative Interactive Visualization" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe></p><p>Reactive Vega offers a declarative format for creating, saving, and sharing interactive visualizations. Read the paper about it <a href="http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7192704&isnumber=4359476&url=http%3A%2F%2Fieeexplore.ieee.org%2Fstamp%2Fstamp.jsp%3Ftp%3D%26arnumber%3D7192704%26isnumber%3D4359476">here</a>.</p><p><em>You’ll love these if: You want to streamline your visualization creation process.</em></p><p> </p><p><strong>14. Presentation: <a href="http://www.johannafulda.de/">Johanna Fulda</a>, <a href="http://www.cs.ubc.ca/~brehmer/">Matthew Brehmer</a>, and <a href="https://www.cs.ubc.ca/~tmm/">Tamara Munzner</a> </strong>on <strong>Visual Timelines</strong></p><p><a href="http://datastori.es/wp-content/uploads/2015/11/05_1_TimeLineCurator.png"><img data-attachment-id="1064" data-permalink="http://datastori.es/05_1_timelinecurator/" data-orig-file="http://datastori.es/wp-content/uploads/2015/11/05_1_TimeLineCurator.png" data-orig-size="1200,660" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="05_1_TimeLineCurator" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/11/05_1_TimeLineCurator-300x165.png" data-large-file="http://datastori.es/wp-content/uploads/2015/11/05_1_TimeLineCurator-1024x563.png" class="wp-image-1064 alignleft" src="http://datastori.es/wp-content/uploads/2015/11/05_1_TimeLineCurator-300x165.png" alt="05_1_TimeLineCurator" width="388" height="220" /></a></p><p> </p><p> </p><p> </p><p> </p><p> </p><p> </p><p>A solution to the headache of designing timelines, <a href="http://www.cs.ubc.ca/group/infovis/software/TimeLineCurator/">TimelineCurator</a> uses natural language processing to build easy streamlined timelines. Play with it <a href="http://timelinecurator.org/">here</a>.</p><p><em>You’ll love this if: You’ve been craving a user-friendly process for putting together a timeline.</em></p><p>These are just a handful of the VIS’15 presentations, panels, and tools that we loved. Listen to the episode to hear about more, let us know which projects excited you, and consider attending <a href="http://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=33655">VIS’16</a> next year in Baltimore.</p><p> </p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/86-highlights-from-ieee-vis16-with-jessica-hullman-and-robert-kosara/">86 | Highlights from IEEE VIS'16 with Jessica Hullman and Robert Kosara</a> </li> </ul>"" | |||||||||||||||||||
39 | 62 | Thu, 29 Oct 2015 15:17:11 +0000 | 62 | Text Visualization: Past, Present and Future with Chris Collins | Chat | 1 | M | 1:05:23 | http://datastori.es/text-visualization-past-present-and-future-with-chris-collins-ds62/ | http://datastori.es/podlove/file/1375/s/feed/c/podcast/text-visualization-past-present-and-future-with-chris-collins-ds62.m4a | 00:00:05.774: Our sponsor: Qlik | 00:00:41.292: Mo and Enrico catch up | 00:01:46.218: Our guest: Chris Collins | 00:03:05.647: ELIZA | 00:04:42.626: What is text visualization? | 00:10:55.675: Flux Flow | 00:17:17.343: Probing projections | 00:20:50.415: DocuBurst | 00:26:24.413: Patterns in passwords | 00:31:39.238: Correct Horse Battery Staple | 00:34:06.051: Our sponsor: Qlik | 00:35:46.077: Lexichrome | 00:40:40.852: Literature Fingerprinting | 00:41:31.473: Readability work | 00:41:44.919: How to get started? | 00:42:07.109: Text visualization browser | 00:42:58.574: NLTK (Natural Language Toolkit) | 00:43:09.190: Wordnet | 00:46:35.638: How to process texts | 00:51:00.252: What are the challenges? | 00:55:46.156: TAPoR | 00:58:17.255: Future directions | 01:04:54.226: Our sponsor: Qlik | | 23 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/1377/s/download/c/buttonlist/text-visualization-past-present-and-future-with-chris-collins-ds62.mp3">MP3 Audio<span class="size">60 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/1375/s/download/c/buttonlist/text-visualization-past-present-and-future-with-chris-collins-ds62.m4a">MPEG-4 AAC Audio<span class="size">46 MB</span></a> </li> </ul><div style="clear: both"></div><p><a href="http://datastori.es/wp-content/uploads/2015/10/christopher-collins.jpg"><img data-attachment-id="1012" data-permalink="http://datastori.es/text-visualization-past-present-and-future-with-chris-collins-ds62/olympus-digital-camera/" data-orig-file="http://datastori.es/wp-content/uploads/2015/10/christopher-collins.jpg" data-orig-size="304,301" data-comments-opened="0" data-image-meta="{"aperture":"2","credit":"","camera":"C5050Z","caption":"OLYMPUS DIGITAL CAMERA","created_timestamp":"","copyright":"","focal_length":"10.5","iso":"100","shutter_speed":"0.02","title":"OLYMPUS DIGITAL CAMERA","orientation":"1"}" data-image-title="OLYMPUS DIGITAL CAMERA" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/10/christopher-collins-300x297.jpg" data-large-file="http://datastori.es/wp-content/uploads/2015/10/christopher-collins.jpg" class="wp-image-1012 size-full alignnone" src="http://datastori.es/wp-content/uploads/2015/10/christopher-collins.jpg" alt="" width="304" height="301" srcset="http://datastori.es/wp-content/uploads/2015/10/christopher-collins.jpg 304w, http://datastori.es/wp-content/uploads/2015/10/christopher-collins-150x150.jpg 150w, http://datastori.es/wp-content/uploads/2015/10/christopher-collins-300x297.jpg 300w, http://datastori.es/wp-content/uploads/2015/10/christopher-collins-303x300.jpg 303w" sizes="(max-width: 304px) 100vw, 304px" /></a></p><p>We have Assistant Professor <a href="http://vialab.science.uoit.ca">Chris Collins</a> from University of Ontario Institute of Technology on the show to talk about text visualization. Chris explains what Text Vis is, provides examples from his and others’ work, describes tools and knowledge to get started, and looks into the future of the field, including its challenges and opportunities.</p><p>And here’s a really cool new thing — we have a <a href="https://docs.google.com/document/d/1sHzluOU-gtV_64BIWLau4It-rzIy4sBGZC9AA4LVXBU/edit?usp=sharing" target="_blank">transcript</a> of the whole show! Browse the text, search for quotes and chapters, and maybe even… <strong>visualize it</strong>? Let us know if it’s useful!</p><p>Enjoy the show!</p><p>LINKS</p><ul><li><a href="http://vialab.science.uoit.ca">Chris Collins and His Lab</a></li><li><a href="http://vialab.science.uoit.ca/portfolio/fluxflow">FluxFlow</a> (twitter rumors detection and visualization) | See also “<a href="http://www.theguardian.com/uk/interactive/2011/dec/07/london-riots-twitter">How riot rumours spread on Twitter</a>” (from the Guardian)</li><li><a href="http://julianstahnke.com/probing-projections/">Probing Projections Project</a></li><li><a href="http://vialab.science.uoit.ca/portfolio/docuburst-visualizing-document-content-using-language-structure">DocuBurst</a></li><li><a href="http://vialab.science.uoit.ca/portfolio/visualizing-semantics-in-passwords">Patterns in Passwords</a></li><li>Book: “<a href="http://www.amazon.com/Graphs-Maps-Trees-Abstract-Literary/dp/1844671852">Graphs, Maps, and Trees</a>”</li><li><a href="http://lexichrome.com">Lexichrome</a> (visualizing the color of words)</li><li><a href="https://kops.uni-konstanz.de/bitstream/handle/123456789/5492/Literature_Fingerprinting.pdf">Literature Fingerprinting</a> (showing how different authors write) (PDF)</li><li><a href="http://bib.dbvis.de/uploadedFiles/305.pdf">Visualizing Text Readability</a> (PDF)</li><li><a href="http://textvis.lnu.se/">Text visualization browser</a> (collection/taxonomy of text vis projects) [good place to start looking into text vis!]</li><li><a href="http://www.nltk.org/">NLTK</a> (Natural Language Toolkit)</li><li><a href="https://wordnet.princeton.edu/">Wordnet</a></li></ul><hr /><p>This episode is sponsored by Qlik who allows you to explore hidden relationships within data that lead to insights. Check out the virtual event on Nov 18: <a href="http://go.qlik.com/virtual-forum">Are you seeing the whole story that lives within your data?</a> You can download Qlik Sense for free at: <a href="http://www.qlik.de/datastories">www.qlik.de/datastories</a>.</p><hr /><p> </p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/76-bocoup-and-openvis-conference/">76 | Bocoup and OpenVis Conference</a> </li> </ul>"" | |||||||||||||||||||
40 | 61 | Mon, 12 Oct 2015 16:15:44 +0000 | 61 | Visualizing Your “Google Search History” with Lisa Charlotte Rost | Project | 1 | F | 0:25:48 | http://datastori.es/visualizing-your-google-search-history-with-lisa-charlotte-rost-ds61/ | http://datastori.es/podlove/file/1296/s/feed/c/podcast/visualizing-your-google-search-history-with-lisa-charlotte-rost-ds61.m4a | 00:00:00.000: Our sponsor: Qlik | 00:01:08.810: Our guest: Lisa Charlotte Rost | 00:02:38.155: Project: Searching through the years | 00:03:57.959: Why did you start this project? | 00:05:02.355: How did you get started? | 00:07:43.374: Stumbling blocks? | 00:08:34.703: Data analysis | 00:09:09.786: What did you learn from the data? | 00:11:17.642: Our sponsor: Qlik | 00:14:03.670: Design process and decision of presentation form | 00:18:29.829: Lessons learned | 00:21:13.943: How was the project used and received? | 00:24:14.722: Rate Datastories and get in touch with us! | 00:25:16.063: Our sponsor: Qlik | | 14 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/1298/s/download/c/buttonlist/visualizing-your-google-search-history-with-lisa-charlotte-rost-ds61.mp3">MP3 Audio<span class="size">24 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/1296/s/download/c/buttonlist/visualizing-your-google-search-history-with-lisa-charlotte-rost-ds61.m4a">MPEG-4 AAC Audio<span class="size">20 MB</span></a> </li> </ul><div style="clear: both"></div><p><a href="http://datastori.es/wp-content/uploads/2015/10/post-teaser1.jpg"><img data-attachment-id="995" data-permalink="http://datastori.es/visualizing-your-google-search-history-with-lisa-charlotte-rost-ds61/post-teaser-2/" data-orig-file="http://datastori.es/wp-content/uploads/2015/10/post-teaser1.jpg" data-orig-size="1628,248" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"1"}" data-image-title="post-teaser" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/10/post-teaser1-300x46.jpg" data-large-file="http://datastori.es/wp-content/uploads/2015/10/post-teaser1-1024x156.jpg" class="aligncenter wp-image-995 size-large" src="http://datastori.es/wp-content/uploads/2015/10/post-teaser1-1024x156.jpg" alt="" width="584" height="89" srcset="http://datastori.es/wp-content/uploads/2015/10/post-teaser1-1024x156.jpg 1024w, http://datastori.es/wp-content/uploads/2015/10/post-teaser1-300x46.jpg 300w, http://datastori.es/wp-content/uploads/2015/10/post-teaser1-500x76.jpg 500w" sizes="(max-width: 584px) 100vw, 584px" /></a></p><p>—<br />Hey, before we start, we ask you a favor: <strong>rate us on iTunes!</strong> This has a huge impact on how the show is ranked. To rate us on iTunes follow <a href="https://itunes.apple.com/us/podcast/data-stories/id502854960?mt=2">this link</a> and then select “view in iTunes” (you need to have iTunes installed) and then click on “Ratings & Reviews”. You can also rate us directly from your Apple podcast player if you have one. Thanks!!!<br />—</p><p>Here we go with a new project episode! This time we talk with <a href="http://www.lisacharlotterost.de/">Lisa Charlotte Rost</a> about her project “<a href="http://lisacharlotterost.github.io/2015/06/20/Searching-through-the-years/">My Google Search History</a>.”</p><p>Lisa is a visualization designer based in Berlin and the project is about how she collected and visualized her google search history to look into her personal data.</p><p>In the episode we discuss how she came up with the idea and all the steps she followed to realize it.</p><p>She has also <a href="http://lisacharlotterost.github.io/2015/09/20/My-Google-Search-History-in-R/">a nice page on github with code</a> that you can reuse to do the same thing with your own data!</p><p>Here is a set of pictures from her project:</p><hr /><p>This episode is sponsored by Qlik who allows you to explore hidden relationships within data that lead to insights. Check out the<span style="font-weight: 400;"> new blog post on the qlik blog called: “<a href="http://global.qlik.com/us/blog/posts/donald-farmer/left-to-our-own-devices">The role of multiple devices in our workspaces</a>” by Donald Farmer. And, t</span><span style="font-weight: 400;">here is a big <a href="http://go.qlik.com/Qlik_Tour_EMEA.html">Qlik Sense Roadshow</a> with over 100 events in Europe. </span>You can download Qlik Sense for free at: <a href="http://www.qlik.de/datastories">www.qlik.de/datastories</a>.</p><hr /><p>LINKS</p><ul><li><a href="http://www.lisacharlotterost.de/">Lisa’s home page</a></li><li>Lisa’s tutorial on <a href="http://lisacharlotterost.github.io/2015/09/20/My-Google-Search-History-in-R/">making histograms in R</a></li><li>Lisa’s tutorial on how to make <a href="http://lisacharlotterost.github.io/2015/06/28/TUTORIAL-Google-Search-History/">your own google search visualization</a></li><li>Lisa’s tutorial on <a href="http://lisacharlotterost.github.io/2015/09/20/My-Google-Search-History-Text-Analysis/">text analysis with R</a></li><li>Take a look at the classic <a href="http://blog.stephenwolfram.com/2012/03/the-personal-analytics-of-my-life/">Wolfram’s Personal Analytics project</a></li><li>And of course see <a href="http://datastori.es/data-stories-44-with-nicholas-felton/">our episode with Nick Felton</a> about his annual reports</li></ul> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/77-polygraph-and-the-journalist-engineer-matt-daniels/">77 | Polygraph and The Journalist Engineer Matt Daniels</a> </li> </ul>"" | |||||||||||||||||||
41 | 60 | Thu, 24 Sep 2015 13:50:56 +0000 | 60 | Upcoming DS Events and Some of Our Recent Projects | Other | 0 | NA | 1:09:51 | http://datastori.es/ds60-upcoming-ds-events-and-some-of-our-recent-projects/ | http://datastori.es/podlove/file/1268/s/feed/c/podcast/end-of-summer-episode-we-talk-about-upcoming-ds-events-and-some-of-our-recent-projects-ds60.m4a | 00:00:06.094: Our sponsor: Qlik | 00:01:50.209: Mo and Enrico catch up | 00:07:19.614: Favourite Podcasts | 00:11:10.563: DataStories meetup | 00:14:11.935: AMA | 00:16:52.975: False Positive | 00:26:48.747: Our sponsor: Qlik | 00:28:40.314: RevEx | 00:40:20.303: Inclusive Growth | 00:49:57.839: Human Rights Vis Project | 01:01:28.902: Teaching | 01:04:21.878: Conferences | 01:09:25.879: Our sponsor: Qlik | | 13 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/1272/s/download/c/buttonlist/end-of-summer-episode-we-talk-about-upcoming-ds-events-and-some-of-our-recent-projects-ds60.mp3">MP3 Audio<span class="size">64 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/1268/s/download/c/buttonlist/end-of-summer-episode-we-talk-about-upcoming-ds-events-and-some-of-our-recent-projects-ds60.m4a">MPEG-4 AAC Audio<span class="size">49 MB</span></a> </li> </ul><div style="clear: both"></div><p>Hey folks, we are back! We really hope you had a good summer.</p><p>We start the new season with an “internal” episode. We give numerous updates on Data Stories. Things have changed recently — we have future ideas and <span style="text-decoration: underline;">two great events to get in touch with us</span>!</p><ol><li>The <a href="http://visualized.com" target="_blank">Visualized Conference</a>, taking place in New York on Oct 7-10, 2015, is going to host a <a href="https://www.eventbrite.com/e/visualized-2015-new-york-satellite-events-tickets-18327991516" target="_blank">Data Stories Meetup</a> on Oct 7, 2015. If you live in NYC or happen to be around please drop by! We’d love to meet and talk with you.</li><li>We will also offer an Ask Me Anything on <a href="https://www.reddit.com/r/dataisbeautiful/" target="_blank">Reddit</a> on November 3. This is a unique opportunity to ask us questions live and chat together.</li></ol><p>In the show we also talk about some of our recent projects.</p><p>Moritz talks about <a href="http://false-positive.net" target="_blank">False Positive</a>, an art project on data, privacy and identity. He also talks about the new <a href="http://reports.weforum.org/inclusive-growth-report-2015/" target="_blank">Inclusive Growth Report</a> from the World Economic Forum, for which he designed the graphics and website together with <a href="http://www.stefanieposavec.co.uk" target="_blank">Stefanie Posavec </a>and <a href="http://9elements.com" target="_blank">9elements</a>.</p><p>Enrico talks about the <a href="http://enrico.bertini.io/revex">RevEx</a> tool and his collaboration with <a href="https://www.propublica.org/">ProPublica</a> for the analysis of millions of medical Yelp reviews, his work with Human Rights experts and a recently published <a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7061479&tag=1">paper on visualization design with climate scientists</a>.</p><hr /><p>This episode is sponsored by Qlik who allows you to explore hidden relationships within data that lead to insights. Read Patrik Lundblad’s blog posts on the three pillars of data visualization(<a href="http://global.qlik.com/us/blog/posts/patrik-lundblad/mapping-data-to-visualizations-data-attributes" target="_blank">1</a>,<a href="http://global.qlik.com/us/blog/posts/patrik-lundblad/visual-encoding" target="_blank">2</a>,<a href="http://global.qlik.com/us/blog/posts/patrik-lundblad/third-pillar-of-mapping-data-to-visualizations-usage" target="_blank">3</a>). You can download Qlik Sense for free at: <a href="http://www.qlik.de/datastories">www.qlik.de/datastories</a>.</p><hr /><p>LINKS</p><ul><li>John Swabisch’s <a href="http://policyviz.com/the-policyviz-podcast/">PolicyViz Podcast</a></li><li><a href="http://dataskeptic.com/">Data Skeptic Podcast</a> (Enrico’s favorite data podcast)</li><li>List of Data Science Podcasts – “<a href="https://medium.com/swlh/the-7-best-data-science-and-machine-learning-podcasts-e8f0d5a4a419">The 7 Best Data Science and Machine Learning Podcasts</a>“</li><li>Data Stories Meetup at <a href="http://visualized.com/">Visualized</a> in NYC (sign-up <a href="http://www.eventbrite.com/e/visualized-2015-new-york-satellite-events-tickets-18327991516">here</a>!)</li><li><a href="https://www.reddit.com/r/dataisbeautiful/">Data Is Beautiful</a> on Reddit (where our Ask Me Anything will happen)</li><li><a href="http://false-positive.net/">False Positive</a> (Moritz’s project on personal data on the web)</li><li><a href="http://enrico.bertini.io/revex">RevEx</a> (Enrico’s project on analyzing healthcare reviews from Yelp)</li><li><a href="http://reports.weforum.org/inclusive-growth-report-2015/">Inclusive Growth</a> (Moritz’s project on visualizing growth)</li><li>Upcoming Conferences: <a href="http://ieeevis.org/">VIS’15</a> | <a href="http://www.kikk.be/2015/">Kikk Festival</a> | <a href="http://artbits.pl/en/">art+bits festival</a></li></ul>"" | |||||||||||||||||||
42 | 59 | Fri, 21 Aug 2015 02:12:55 +0000 | 59 | Behind the Scenes of “What’s Really Warming The World?” with the Bloomberg Team | Project | 2 | M | 0:44:46 | http://datastori.es/behind-the-scenes-of-whats-really-warming-the-world-with-the-bloomberg-team-ds59/ | http://datastori.es/podlove/file/1202/s/feed/c/podcast/behind-the-scenes-of-whats-really-warming-the-world-with-the-bloomberg-team-ds59.m4a | 00:00:10.189: Our sponsor: Qlik | 00:00:42.269: Introducing the Bloomberg team | 00:01:53.616: Google "Bloomberg Climate Change Visualization" | 00:02:29.280: Describing the visualization | 00:04:51.482: How the project started | 00:07:01.879: Eric drops the IPCC book! :) | 00:07:55.883: Explaining climate models | 00:09:20.627: Inspiration from "Where's Spot?" kids book (and he drops this too) | 00:11:41.239: Engagement, narrative, and visualization challenges | 00:16:29.405: Being scared of publishing scientific pieces | 00:17:05.384: Explaining the science behind the models | 00:17:48.745: Our sponsor: Qlik | 00:19:32.398: Collecting temperature readings from 1880s | 00:21:26.016: Computational models | 00:22:51.159: Historical experiments with climate models | 00:28:45.900: Why is simulation needed? | 00:31:22.280: What each line really represents | 00:32:46.977: But it's "just" a simulation not data right? | 00:35:12.609: Design decision of not explaining too much | 00:37:08.892: Confidence intervals | 00:38:55.566: We need more of these projects. Data is available! | 00:41:47.676: Is this changing people's mind after Moby and Obama's climate advisors tweeted it out? | 00:43:11.977: Thanks and goodbyes (plus, Bloomberg is hiring!) | 00:44:21.227: Our sponsor: Qlik | | 24 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/1203/s/download/c/buttonlist/behind-the-scenes-of-whats-really-warming-the-world-with-the-bloomberg-team-ds59.mp3">MP3 Audio<span class="size">41 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/1202/s/download/c/buttonlist/behind-the-scenes-of-whats-really-warming-the-world-with-the-bloomberg-team-ds59.m4a">MPEG-4 AAC Audio<span class="size">32 MB</span></a> </li> </ul><div style="clear: both"></div><p><a href="http://datastori.es/wp-content/uploads/2015/08/Screen-Shot-2015-08-20-at-1.17.38-PM1.png"><img data-attachment-id="949" data-permalink="http://datastori.es/behind-the-scenes-of-whats-really-warming-the-world-with-the-bloomberg-team-ds59/screen-shot-2015-08-20-at-1-17-38-pm-2/" data-orig-file="http://datastori.es/wp-content/uploads/2015/08/Screen-Shot-2015-08-20-at-1.17.38-PM1.png" data-orig-size="1235,611" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="Screen Shot 2015-08-20 at 1.17.38 PM" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/08/Screen-Shot-2015-08-20-at-1.17.38-PM1-300x148.png" data-large-file="http://datastori.es/wp-content/uploads/2015/08/Screen-Shot-2015-08-20-at-1.17.38-PM1-1024x507.png" class="aligncenter size-large wp-image-949" src="http://datastori.es/wp-content/uploads/2015/08/Screen-Shot-2015-08-20-at-1.17.38-PM1-1024x507.png" alt="Screen Shot 2015-08-20 at 1.17.38 PM" width="584" height="289" srcset="http://datastori.es/wp-content/uploads/2015/08/Screen-Shot-2015-08-20-at-1.17.38-PM1-1024x507.png 1024w, http://datastori.es/wp-content/uploads/2015/08/Screen-Shot-2015-08-20-at-1.17.38-PM1-300x148.png 300w, http://datastori.es/wp-content/uploads/2015/08/Screen-Shot-2015-08-20-at-1.17.38-PM1-500x247.png 500w, http://datastori.es/wp-content/uploads/2015/08/Screen-Shot-2015-08-20-at-1.17.38-PM1.png 1235w" sizes="(max-width: 584px) 100vw, 584px" /></a></p><p>“<em>Different people, working for different institutions, in different countries, at different times, all come up with the same answer …</em>”</p><p style="text-align: right;">– Eric Roston, Bloomberg (talking about global warming)</p><p>Hi folks! We have <a href="http://blacki.info/">Blacki Migliozzi</a> and <a href="http://www.ericroston.com/">Eric Roston</a> from Bloomberg on the show to talk about their recent data graphic piece on climate change called “<a href="http://www.bloomberg.com/graphics/2015-whats-warming-the-world/">What’s Really Warming The World?</a>”</p><p>The graphic shows, through a “scrollytelling,” what factors may influence the world’s temperature according to well-established climate models. It guides you through a series of questions and visuals to all you to see for yourself what correlates (spoiler: carbon emissions) and what does not.</p><p>On the show we talk about how the Bloomberg team came up with this piece, their interaction with the <a href="http://www.giss.nasa.gov/">NASA Goddard Institute for Space Studies (GISS)</a> scientists who developed the model, and the many challenges of translating important scientific knowledge into more digestible, but not simplistic, articles that everyone can read.</p><p>We also talk about how they took inspiration from the children book “<a href="http://www.amazon.com/Wheres-Spot-Eric-Hill/dp/0399207589">Where’s Spot?</a>” (which is a nice narrative technique for vis!) and all the delicate design decisions they had to make.</p><p>… And don’t miss the moment when Eric drops the huge IPCC (International Panel on Climate Change) report book to give a sense of how big it is!</p><p>Enjoy the show!</p><p>—<br />This episode is sponsored by Qlik who allows you to explore hidden relationships within data that lead to insights. Qlik was named a Top 10 Innovative Growth Company by Forbes, and they published an <a href="http://www.qlik.com/us/blog/posts/mark-bilotta/visualize-this-qlik-named-top-10-innovative-growth-company-for-2015">interesting blog post</a> analyzing the data from the ranking. Check it out! Qlik Sense allows you to create personalized visualizations and dynamic dashboards. You can download it for free at: <a href="http://www.qlik.de/datastories">www.qlik.de/datastories</a>.<br />—</p><p>LINKS</p><ul><li><a href="http://www.bloomberg.com/graphics/2015-whats-warming-the-world/">What’s Really Warming the World?</a> – the Bloomberg graphics</li><li>“<a href="http://www.amazon.com/Wheres-Spot-Eric-Hill/dp/0399207589">Where’s Spot?</a>” kids book</li><li>The <a href="http://cmip-pcmdi.llnl.gov/cmip5/availability.html">CIMIP5 Coupled Model Intercomparison Project</a> (61 models from 28 countries evaluated and compared)</li><li>The <a href="http://www.ipcc.ch/">Intergovernmental Panel on Climate Change</a> (IPCC) (the big tome)</li><li>The <a href="http://ar5-syr.ipcc.ch/">IPCC synthesis reports</a> (much shorter and easier to read / so many visuals could be improved!)</li><li><a href="http://data.giss.nasa.gov/gistemp/graphs_v3/">Data on global land and ocean temperature records</a> from NASA</li><li>Scientific article on <a href="http://pubs.giss.nasa.gov/abs/mi08910y.html">NASA GISS historical simulations<br /></a></li><li>Article on <a href="http://www.ncdc.noaa.gov/monitoring-references/faq/anomalies.php">how temperature anomalies are calculated</a></li><li>Datasets from the Bloomberg team:<ul><li><a href="http://www.bloomberg.com/graphics/2015-whats-warming-the-world/data/observed.csv">Observed land-ocean temperature</a></li><li><a href="http://www.bloomberg.com/graphics/2015-whats-warming-the-world/data/forcings.csv">Responses to climate forcings</a></li><li><a href="http://www.bloomberg.com/graphics/2015-whats-warming-the-world/data/piControl.csv">850 year Preindustrial control experiment</a></li></ul></li></ul> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/77-polygraph-and-the-journalist-engineer-matt-daniels/">77 | Polygraph and The Journalist Engineer Matt Daniels</a> </li> </ul>"" | |||||||||||||||||||
43 | 58 | Thu, 30 Jul 2015 00:41:26 +0000 | 58 | Data Installations w/ Domestic Data Streamers | Chat | 2 | M | 0:59:45 | http://datastori.es/data-stories-58-domestic-data-streamers/ | http://datastori.es/podlove/file/1068/s/feed/c/podcast/datastories-58.m4a | 00:00:00.000: Our sponsor: Qlik | 00:00:46.970: Enrico and Moritz catching up | 00:02:31.719: Domestic Data Streamers | 00:05:33.653: Yotta project at Mundaneum | 00:09:18.130: Data Strings | 00:12:20.657: How do people react, interact? | 00:15:38.425: Why spaces/sculptures as opposed to digital/paper? | 00:19:12.533: First projects: The mood test | 00:21:19.070: Design process | 00:24:04.776: Lifeline | 00:28:53.568: Golden age | 00:33:04.649: Our sponsor: Qlik | 00:36:00.608: Practical / financial side | 00:38:33.911: Behavior change? | 00:47:17.304: Drip by tweet | 00:51:33.120: Science collaborations? | 00:53:20.575: From personal computing to public information | 00:55:28.794: "Google on paper" | 00:59:23.095: Our sponsor: Qlik | | 19 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/1072/s/download/c/buttonlist/datastories-58.mp3">MP3 Audio<span class="size">56 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/1068/s/download/c/buttonlist/datastories-58.m4a">MPEG-4 AAC Audio<span class="size">44 MB</span></a> </li> </ul><div style="clear: both"></div><p><a href="http://datastori.es/wp-content/uploads/2015/07/daniel-pearson-domestic-data-streamers.jpg"><img data-attachment-id="916" data-permalink="http://datastori.es/data-stories-58-domestic-data-streamers/daniel-pearson-domestic-data-streamers/" data-orig-file="http://datastori.es/wp-content/uploads/2015/07/daniel-pearson-domestic-data-streamers.jpg" data-orig-size="450,450" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="daniel-pearson-domestic-data-streamers" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/07/daniel-pearson-domestic-data-streamers-300x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2015/07/daniel-pearson-domestic-data-streamers.jpg" class="alignnone wp-image-916 " src="http://datastori.es/wp-content/uploads/2015/07/daniel-pearson-domestic-data-streamers-300x300.jpg" alt="daniel-pearson-domestic-data-streamers" width="204" height="204" srcset="http://datastori.es/wp-content/uploads/2015/07/daniel-pearson-domestic-data-streamers-300x300.jpg 300w, http://datastori.es/wp-content/uploads/2015/07/daniel-pearson-domestic-data-streamers-150x150.jpg 150w, http://datastori.es/wp-content/uploads/2015/07/daniel-pearson-domestic-data-streamers.jpg 450w" sizes="(max-width: 204px) 100vw, 204px" /></a></p><p>“<em>I believe we are bored from being 8 to 10 hours everyday in front of the screen, so when we go out from the screen the real life happens and things get more and more interesting.</em>”</p><p style="text-align: right;">– Dani Llugany Pearson</p><p>—<br /><em>Hey everyone, starting from this episode we will add images/photos of projects and ideas discussed on the show so that you no longer have to guess what we are talking about! Try this one below … if you click on it you’ll get high-res pictures. Let us know if you like it!</em></p><p>Hi folks,</p><p>We have Dani Llugany Pearson from <a href="http://domesticstreamers.com/">Domestic Data Streamers</a> to talk about their studio and the amazing participatory data installations that they make.</p><p>You really need to see examples of what they do! Go to <a href="http://domesticstreamers.com/">http://domesticstreamers.com/</a> and take a look at their projects.</p><p>In Data Strings they ask people to add their own thread to a set of physical parallel coordinates. In Life Line they use a grid of 800 balloons to show the point between one’s real age and the age at which one would like to die. In Golden Age they use a grid to let people mark with a log what is their age and what they believe is the best age in people’s life.</p><p>On the show we talk about how they got started and the process behind some of their projects.</p><p>Enjoy the show!</p><p>—<br />This episode is sponsored by Qlik who allows you to explore hidden relationships within data that lead to insights. Qlik Sense allows you to create personalized visualizations and dynamic dashboards. You can download it for free at: <a href="http://www.qlik.de/datastories">www.qlik.de/datastories</a>.<br />—</p><p>LINKS</p><ul><li><a href="http://domesticstreamers.com/">Domestic Data Steamers</a></li><li>Paper on “<a href="http://www.researchgate.net/profile/Daniel_Lakens2/publication/26747401_Weight_as_an_embodiment_of_importance/links/0fcfd5089931a3914c000000.pdf">Weight as an Embodiment of Importance</a>”</li><li><a href="http://domesticstreamers.com/portfolio/yotta/">Yotta Project</a></li><li><a href="http://domesticstreamers.com/portfolio/data-strings/">Data Strings </a></li><li><a href="http://domesticstreamers.com/portfolio/the-mood-test/">The Mood Test </a></li><li><a href="http://domesticstreamers.com/portfolio/lifeline/">Lifeline </a></li><li><a href="http://domesticstreamers.com/portfolio/golden-age/">Golden Age </a></li><li><a href="http://domesticstreamers.com/portfolio/drip-by-tweet/">Drip By Tweet</a></li></ul> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/80-indexical-visualization-with-dietmar-offenhuber/">80 | Indexical Visualization with Dietmar Offenhuber</a> </li> </ul>"" | |||||||||||||||||||
44 | 57 | Wed, 08 Jul 2015 18:44:01 +0000 | 57 | Visualizing Human Development w/ Max Roser | Chat | 1 | M | 1:05:23 | http://datastori.es/data-stories-57-human-dev-w-max-roser/ | http://datastori.es/podlove/file/1084/s/feed/c/podcast/data-stories-57-our-world-in-data-w-max-roser.m4a | 00:00:13.265: Our sponsor: Visualizing Well-being | 00:00:41.826: The weather | 00:01:11.494: Our guest: Max Roser | 00:02:22.106: Background: economic inequality | 00:03:17.613: Our World in Data | 00:04:22.183: "Data atlas"? | 00:05:38.120: Data examples | 00:07:57.909: Better angels of our nature | 00:12:30.293: Role of annotation, sourcing | 00:14:45.446: Data curation | 00:20:34.910: Notebook software | 00:23:42.571: Practical setup | 00:26:42.956: Scott Murray's book | 00:28:50.155: Presentation format | 00:32:32.102: Role of science communication in traditional funding schemes | 00:40:33.455: Our sponsor: Visualizing Well-being | 00:44:54.452: Contrast between statistics and perception | 00:56:28.364: What's next? Project needs funding... | 00:58:20.397: Health data | 01:03:31.123: Link: http://OurWorldinData.org | 01:05:02.524: Our sponsor: Visualizing Well-being | | 21 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/1086/s/download/c/buttonlist/data-stories-57-our-world-in-data-w-max-roser.mp3">MP3 Audio<span class="size">60 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/1084/s/download/c/buttonlist/data-stories-57-our-world-in-data-w-max-roser.m4a">MPEG-4 AAC Audio<span class="size">47 MB</span></a> </li> </ul><div style="clear: both"></div><p><a href="http://datastori.es/wp-content/uploads/2015/07/max-roser.png"><img data-attachment-id="888" data-permalink="http://datastori.es/data-stories-57-human-dev-w-max-roser/max-roser/" data-orig-file="http://datastori.es/wp-content/uploads/2015/07/max-roser.png" data-orig-size="400,400" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="max-roser" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/07/max-roser-300x300.png" data-large-file="http://datastori.es/wp-content/uploads/2015/07/max-roser.png" class=" wp-image-888 alignright" src="http://datastori.es/wp-content/uploads/2015/07/max-roser-300x300.png" alt="max-roser" width="227" height="227" srcset="http://datastori.es/wp-content/uploads/2015/07/max-roser-300x300.png 300w, http://datastori.es/wp-content/uploads/2015/07/max-roser-150x150.png 150w, http://datastori.es/wp-content/uploads/2015/07/max-roser.png 400w" sizes="(max-width: 227px) 100vw, 227px" /></a>We have economist <a href="http://www.maxroser.com/">Max Roser</a> from University of Oxford to talk about his <a href="http://ourworldindata.org/">Our World in Data</a> project where he visualizes the social, economic, and environmental history of humanity up to the present day.</p><p>Our World in Data is a remarkable project that Max started on his own and worked on little by little in his spare time until it evolved into a full website with plenty of interesting data, presentations, and visualizations to to better understand humanity.</p><p>The nicest thing is that it provides a quite positive picture of the world and about the many ways that we are improving our conditions. Go to the website (<a href="http://ourworldindata.org/">http://ourworldindata.org/</a>) and take a look at War and Violence, Poverty, Global Heath, Etc.</p><p>On the show we talk about how Max started his work; the process behind finding a topic, collecting, and curating the data; and producing these nice visuals that people can easily understand. We also talk about human biases, persuasion, and how Max learned to build web sites and visualizations.</p><p>Enjoy the show!</p><p>—<br />This episode is sponsored by <a href="http://wikiprogress.org/index.php/Visualizing_Well-being:_Wikiprogress_Data_Visualization_Contest_2015">Visualizing Well-Being</a>, the Wikiprogress Data Visualization Contest 2015. Enter the contest to win a trip to Mexico! To find out more, visit the Wikiprogress website (<a href="http://www.wikiprogress.org">www.wikiprogress.org</a>) or the <a href="https://www.facebook.com/Wikiprogress">facebook page</a> or follow <a href="https://twitter.com/Wikiprogress">@wikiprogress</a> on twitter.<br />—</p><p>LINKS</p><ul><li>Our World in Data – <a href="http://ourworldindata.org">http://ourworldindata.org</a></li><li>Some of the projects:<ul><li>War and Peace – <a href="http://ourworldindata.org/data/war-peace/war-and-peace-before-1945/">http://ourworldindata.org/data/war-peace/war-and-peace-before-1945/</a></li><li>Suicide – <a href="http://ourworldindata.org/data/health/suicide/">http://ourworldindata.org/data/health/suicide/</a></li><li>Violence <a href="http://ourworldindata.org/VisualHistoryOf/Violence.html#/title-slide">http://ourworldindata.org/VisualHistoryOf/Violence.html#/title-slide</a></li><li>Chartbook of economic inequality</li></ul></li><li>Pinker’s Book: <a href="http://www.amazon.com/The-Better-Angels-Our-Nature/dp/1491518243">Better Angles Of Our Nature</a></li><li>Notebook software – <a href="http://www.circusponies.com/store/purchase-notebook-for-mac">Circus Ponies</a></li><li>Scott Murray’s <a href="http://alignedleft.com/work/d3-book">D3.js Book</a></li><li>Hans Rosling’s <a href="http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen?language=en">Gapminder Presentation</a></li><li>Zdenek Hynek – <a href="http://www.geographics.cz/">http://www.geographics.cz/</a></li></ul> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/92-a-tribute-to-hans-rosling/">92 | A Tribute to Hans Rosling</a> </li> </ul>"" | |||||||||||||||||||
45 | 56 | Thu, 25 Jun 2015 03:44:57 +0000 | 56 | Amanda Cox on Working With R, NYT Projects, Favorite Data | Chat | 1 | F | 1:08:22 | http://datastori.es/ds-56-amanda-cox-nyt/ | http://datastori.es/podlove/file/1002/s/feed/c/podcast/datastories-56.m4a | 00:00:02.604: Our sponsor: Tableau | 00:00:34.648: Mo and Enrico catching up | 00:02:18.104: Our guest: Amanda Cox | 00:03:11.236: The road to the NYT | 00:08:43.922: Working with R | 00:11:44.037: Hadley Wickham | 00:17:55.367: R Studio | 00:19:44.916: Work process | 00:21:44.703: Data acquisition | 00:26:29.885: Our sponsor: Tableau | 00:27:37.670: Annotations (tweet from @mushon) | 00:29:24.042: Jake Barton: local projects | 00:30:22.148: Project: county map on kids | 00:31:24.768: Project: Draw it yourself chart: how are your chances to got to college based on your parents’ earning | 00:38:42.765: Upshot NYT (tweet from @alignedleft) | 00:47:52.801: Thoughts on teaching? (tweet from @alignedleft) | 00:50:34.647: How to tolerate @KevinQ?(tweet from @alignedleft) | 00:52:39.809: Year of the histogram | 00:54:11.152: Net joy | 00:55:07.596: Any burning topics of interest that she’d like to work on, but can’t get the data for? (tweet by @arnicas) | 00:57:15.392: What are the current _hard problems_ she sees in vis? (tweet by @arnicas) | 01:03:04.535: Favorite design tools (tweet from @dr_pi) | 01:05:43.553: Quadrigram | 01:06:10.708: Jeff Heer | 01:07:58.136: Our sponsor: Tableau | | 25 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/1005/s/download/c/buttonlist/datastories-56.mp3">MP3 Audio<span class="size">63 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/1002/s/download/c/buttonlist/datastories-56.m4a">MPEG-4 AAC Audio<span class="size">49 MB</span></a> </li> </ul><div style="clear: both"></div><p><a href="http://datastori.es/wp-content/uploads/2015/06/amanda-cox.jpg"><img data-attachment-id="864" data-permalink="http://datastori.es/ds-56-amanda-cox-nyt/amanda-cox/" data-orig-file="http://datastori.es/wp-content/uploads/2015/06/amanda-cox.jpg" data-orig-size="964,1420" data-comments-opened="1" data-image-meta="{"aperture":"1.8","credit":"","camera":"NIKON D80","caption":"","created_timestamp":"1335888724","copyright":"","focal_length":"85","iso":"400","shutter_speed":"0.016666666666667","title":"","orientation":"1"}" data-image-title="amanda-cox" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/06/amanda-cox-204x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2015/06/amanda-cox-695x1024.jpg" class="alignleft wp-image-864 " src="http://datastori.es/wp-content/uploads/2015/06/amanda-cox-204x300.jpg" alt="amanda-cox" width="157" height="228" /></a></p><p>“<em>I’d give two of my left fingers for this data</em>” – Amanda Cox on the show <img src="https://s.w.org/images/core/emoji/2.2.1/72x72/1f642.png" alt="🙂" class="wp-smiley" style="height: 1em; max-height: 1em;" /></p><p>We have the great Amanda Cox from the New York Times on the show this time!</p><p>Amanda is a graphic editor at NYT and she is behind many of the amazing data graphics that the New York Times has produced in recent years.</p><p>In the show we talk about her background in statistics and how she ended up at the Times. We discuss how she uses R software to collect, analyze, and visualize data, and her thoughts on other tools. We also talk about how data graphics are produced at NYT, with lots of funny stories.</p><p>Don’t miss the parts about the “<em>what, where, when</em>” of data and the “<em>net joy</em>” concept.</p><p>Lots a data wisdom in this show!</p><p>—<br />This episode is sponsored by <a href="http://tableau.com/datastories">Tableau Software</a>, helping people connect to any kind of data, and visualize it on the fly – You can download a free trial at <a href="http://tableau.com/datastories">http://tableau.com/datastories</a> – check the new Tableau 9!<br />—</p><p>LINKS</p><ul><li>Hadley Wickham – <a href="http://had.co.nz/">http://had.co.nz/</a></li><li>R Studio – <a href="http://shiny.rstudio.com/">http://shiny.rstudio.com/</a></li><li>Jake Barton: Local Projects – <a href="http://localprojects.net/about/">http://localprojects.net/about/</a></li><li>NYT Project: <a href="http://www.nytimes.com/interactive/2015/05/03/upshot/the-best-and-worst-places-to-grow-up-how-your-area-compares.html?_r=0&abt=0002&abg=1">The Best and Worst Places to Grow Up: How Your Area Compares</a></li><li>NYT Project: <a href="http://www.nytimes.com/interactive/2015/05/28/upshot/you-draw-it-how-family-income-affects-childrens-college-chances.html?abt=0002&abg=1">You Draw It: How Family Income Predicts Children’s College Chances</a></li><li>Amanda and Kevin’s <a href="http://kpq.github.io/nyu-data-journalism-2014/">NYU Data Journalism Course</a></li><li>Quadrigram – <a href="http://www.quadrigram.com/">http://www.quadrigram.com/</a> (tool for data-driven web sites)</li><li>Jeff Heer and his IDL Lab at UW – <a href="http://idl.cs.washington.edu/">http://idl.cs.washington.edu/</a></li><li>FiveThirtyEight – <a href="http://fivethirtyeight.com/">http://fivethirtyeight.com/</a></li><li>The Upshot – <a href="http://www.nytimes.com/upshot/?_r=0">http://www.nytimes.com/upshot/?_r=0</a></li></ul>"" | |||||||||||||||||||
46 | 55 | Fri, 12 Jun 2015 20:24:13 +0000 | 55 | Disinformation Visualization w/ Mushon Zer-Aviv | Chat | 1 | M | 1:07:14 | http://datastori.es/data-stories-55-disinformation-visualization-w-mushon-zer-aviv/ | http://datastori.es/podlove/file/962/s/feed/c/podcast/data-stories-55-disinformation-visualization-and-data-obfuscation-w-mushon-zer-aviv.m4a | 00:00:05.603: Our sponsor: Tableau | 00:00:37.714: Intro | 00:02:10.553: Our guest: Mushon Zer-Aviv | 00:03:26.157: Background in comics | 00:04:31.748: Shual Design Studio | 00:05:28.737: Eybeam/ShiftSpace | 00:06:55.842: Disinformation visualization - how to lie with data visualization | 00:08:22.862: Workshop at Open Knowledge festival | 00:14:05.529: What is different when lying with charts and data? | 00:16:15.593: ACM CHI paper from Enrico, Infovis paper | 00:18:55.553: Encoding/Decoding | 00:22:09.466: Spotting BS charts: Content - Structure - Presentation | 00:30:08.395: Our sponsor: Tableau | 00:33:29.184: Beautiful evidence? Rather: visual arguments | 00:38:33.923: Weinberger: Too big to know | 00:43:33.165: Is all just "opinion"/theory? | 00:45:51.179: ISVIS | 00:49:26.401: Visualizing the Israeli Budget | 00:53:43.819: How do you avoid errors/misconceptions when publishing visual data for policy making | 00:56:10.365: Humans in the data communication loop | 00:58:49.560: AdNauseam | 01:01:23.887: Data obfuscation | 01:04:16.909: Floodwatch | 01:06:25.650: ISVIS videos up soon | 01:06:46.666: Our sponsor: Tableau | | 25 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/965/s/download/c/buttonlist/data-stories-55-disinformation-visualization-and-data-obfuscation-w-mushon-zer-aviv.mp3">MP3 Audio<span class="size">62 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/962/s/download/c/buttonlist/data-stories-55-disinformation-visualization-and-data-obfuscation-w-mushon-zer-aviv.m4a">MPEG-4 AAC Audio<span class="size">48 MB</span></a> </li> </ul><div style="clear: both"></div><p>Hi everyone!</p><p>We have designer and activist Mushon Zer-Aviv on the show today. Mushon is an NYU ITP graduate and instructor at Shenkar University, Israel.</p><p><img data-attachment-id="852" data-permalink="http://datastori.es/data-stories-55-disinformation-visualization-w-mushon-zer-aviv/mushon_bw-pic_2015/" data-orig-file="http://datastori.es/wp-content/uploads/2015/06/mushon_bw-pic_2015.jpg" data-orig-size="960,1280" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="mushon_bw-pic_2015" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/06/mushon_bw-pic_2015-225x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2015/06/mushon_bw-pic_2015-768x1024.jpg" class=" wp-image-852 alignright" src="http://datastori.es/wp-content/uploads/2015/06/mushon_bw-pic_2015.jpg" alt="mushon_bw-pic_2015" width="216" height="285" />He wrote the very interesting Disinformation Visualization piece for Tactical Tech’s Visualizing Information for Advocacy and we decided to invite him to discuss the million different facets of disinformation through visualization.</p><p>Is data and data visualization bringing some truth or should it always be considered an argument? Is there a way we can mitigate or even prevent disinformation? What strategies can designers use to make their opinions more apparent?</p><p>These are some of the questions we discuss on the show.</p><p>And don’t miss the part on “data obfuscation,” that is, how to use disinformation to increase our privacy!</p><p>Enjoy this thought-provoking show!</p><hr /><p>This episode is sponsored by <a href="http://tableau.com/datastories">Tableau Software</a>, helping people connect to any kind of data, and visualize it on the fly – You can download a free trial at <a href="http://tableau.com/datastories">http://tableau.com/datastories</a> – check the new Tableau 9!</p><hr /><p>LINKS</p><ul><li>Mushon Zer-Aviv – <a href="http://mushon.com">http://mushon.com</a></li><li>Shual Design Studio – <a href="http://shual.com">http://shual.com</a></li><li>Eyebeam / ShiftSpace – <a href="http://eyebeam.org">http://eyebeam.org</a></li><li>Mushon’s Article: <a href="https://visualisingadvocacy.org/blog/disinformation-visualization-how-lie-datavis">Disinformation visualization – How To Lie With Data Visualization</a></li><li>Enrico et al.’s papers on vis persuasion and deception:<ul><li><a href="http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2566968">How Deceptive are Deceptive Visualizations?: An Empirical Analysis of Common Distortion Techniques.</a> A. V. Pandey, K. Rall, M. Sattarthwaite, O. Nov, E. Bertini. Proc. of ACM CHI Conference on Human Factors in Computing Systems (CHI), 2015.</li><li><a href="http://lsr.nellco.org/cgi/viewcontent.cgi?article=1476&context=nyu_plltwp">The Persuasive Power of Data Visualization.</a> A. V. Pandey, O. Nov, A. Manivannan, M. Satterthwaite, and E. Bertini. IEEE Transactions on Visualization and Computer Graphics (Proc. of InfoVis), vol. 20, no. 12, pp. 2211 – 2220, 2014.</li></ul></li><li><a href="http://en.wikipedia.org/wiki/Encoding/decoding_model_of_communication">Encoding / Decoding</a> Model of Communication (wikipedia page)</li><li>Edward Tufte’s Book: <a href="http://www.edwardtufte.com/tufte/books_be">Beautiful Evidence</a></li><li>Weinberger’s Book: <a href="http://www.toobigtoknow.com/">Too Big To Know<br /></a>ISVIS <a href="http://www.isvisshenkar.org/">http://www.isvisshenkar.org/</a> (israeli data visualization conference)</li><li>Visualizing the Israeli Budget – <a href="http://obudget.org/">oBudget.org</a></li><li>AdNauseam – <a href="http://adnauseam.io">http://adnauseam.io</a> (data obfuscation tool)</li><li>Floodwatch – <a href="https://floodwatch.o-c-r.org">https://floodwatch.o-c-r.org</a> (privacy vis tool from OCR)</li><li>Columbia Professor <a href="http://www.arch.columbia.edu/about/people/ljk33columbiaedu">Laura Kurgan</a></li><li>NYU Professor <a href="http://www.nyu.edu/projects/nissenbaum/">Helen Nissenbaum</a></li><li>Artist and Researcher <a href="http://rednoise.org/~dhowe/">Daniel C. Howe</a></li></ul> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/74-data-ethics-and-privacy-with-eleanor-saitta/">74 | Data Ethics and Privacy with Eleanor Saitta</a> </li> <li> <a href="http://datastori.es/94-uncertainty-and-trumpery-with-alberto-cairo/">94 | Uncertainty and Trumpery with Alberto Cairo</a> </li> <li> <a href="http://datastori.es/97-calling-bullshit-with-carl-bergstrom-and-jevin-west/">97 | Calling Bullshit with Carl Bergstrom and Jevin West</a> </li> </ul>"" | |||||||||||||||||||
47 | 54 | Wed, 27 May 2015 21:01:12 +0000 | 54 | Designing Exploratory Data Visualization Tools w/ Miriah Meyer | Chat | 1 | F | 1:00:43 | http://datastori.es/data-stories-54-designing-exploratory-data-visualization-tools-w-miriah-meyer/ | http://datastori.es/podlove/file/929/s/feed/c/podcast/datastories-54.m4a | 00:00:04.937: Our sponsor: Tableau | 00:00:34.031: Intro | 00:02:35.308: Our guest: Miriah Meyer | 00:05:05.284: Custom tools for small groups of people | 00:10:27.800: Existing tools vs. bespoke design | 00:11:29.755: Long tail questions | 00:12:21.877: Generic tools as baseline | 00:16:51.293: Make computer science more practical | 00:19:18.378: Design process | 00:20:34.403: Interdisciplinary teams | 00:22:03.463: Design study methodology | 00:24:25.858: When it doesn't work out | 00:27:11.559: Our sponsor: Tableau | 00:29:37.801: How to overcome innovation averseness | 00:35:40.595: Prototyping | 00:37:26.248: Reflections on How Designers Design With Data | 00:40:16.440: Lyra | 00:46:12.664: Observing adoption and practical use of tools | 00:47:20.695: Working with poets | 00:55:25.902: Role of data visualization in Data Science | 01:00:18.429: Our sponsor: Tableau | | 21 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/927/s/download/c/buttonlist/datastories-54.mp3">MP3 Audio<span class="size">56 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/929/s/download/c/buttonlist/datastories-54.m4a">MPEG-4 AAC Audio<span class="size">43 MB</span></a> </li> </ul><div style="clear: both"></div><p>[This episode of Data Stories is sponsored by Tableau. You can download a free trial at <a href="http://tableau.com/datastories">http://tableau.com/datastories</a> – check the new Tableau 9!]</p><p><a href="http://datastori.es/wp-content/uploads/2015/05/miriah-headshot-e1432748186828.jpg"><img data-attachment-id="840" data-permalink="http://datastori.es/data-stories-54-designing-exploratory-data-visualization-tools-w-miriah-meyer/miriah-meyer-photo-ryan-lash/" data-orig-file="http://datastori.es/wp-content/uploads/2015/05/miriah-headshot-e1432748186828.jpg" data-orig-size="150,238" data-comments-opened="1" data-image-meta="{"aperture":"8","credit":"Ryan Lash","camera":"Canon EOS 5D Mark III","caption":"Miriah Meyer. Photo: Ryan Lash","created_timestamp":"1361752576","copyright":"CC BY-NC 3.0","focal_length":"85","iso":"100","shutter_speed":"0.00625","title":"Miriah Meyer. Photo: Ryan Lash","orientation":"1"}" data-image-title="" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/05/miriah-headshot-189x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2015/05/miriah-headshot-e1432748186828.jpg" class="alignleft size-full wp-image-840" src="http://datastori.es/wp-content/uploads/2015/05/miriah-headshot-e1432748186828.jpg" alt="" width="150" height="238" /></a></p><p>Hi all!</p><p>We have <a href="http://www.cs.utah.edu/~miriah/">Miriah Meyer</a> with us in this episode to talk about how to build interactive data visualization tools for scientists and researchers. Miriah is Assistant Professor at University of Utah and one of the leading experts on the process of designing data visualizations for scientific discovery.</p><p>To know more about her, take a look at <a href="https://www.youtube.com/watch?v=Sua0xDCf8MA">her talk at TEDxWaterloo</a> and <a href="http://www.cs.utah.edu/~miriah/projects/">her projects page</a>, where she has numerous links to applications she developed in biology and other domains (see for instance <a href="http://www.cs.utah.edu/~miriah/mizbee/Overview.html">MizBee</a> and <a href="http://www.cs.utah.edu/~miriah/pathline/Overview.html">Pathline</a>).</p><p>On the show we talk about her work on analyzing and understanding the design process: required steps, major pitfalls and tips on how to collaborate with domain scientists.</p><p>We also talk about her recent fascinating ethnographic work on “<a href="http://www.cs.utah.edu/~miriah/publications/design-vis.pdf">Reflections on How Designers Design With Data</a>” and her ongoing work on building visualization tools for poetry!</p><p>Enjoy the show!</p><p>LINKS</p><ul><li><a href="http://www.cs.utah.edu/~miriah/">Miriah’s Home Page</a></li><li><a href="http://www.cs.utah.edu/~miriah/projects/">Miriah’s Projects</a></li><li>TEDxWaterloo – Miriah Meyer – <a href="https://www.youtube.com/watch?v=Sua0xDCf8MA">Information Visualization for Scientific Discovery</a></li><li>Paper: <a href="http://www.cs.utah.edu/~miriah/publications/design-vis.pdf">How Designers Design With Data</a> [ethnographic study]</li><li>Paper: <a href="http://www.cs.utah.edu/~miriah/publications/dsm12.pdf">Design Study Methodology: Reflections from the Trenches and the Stacks</a> [on the visualization design process]</li><li>Paper: <a href="http://www.cs.utah.edu/~miriah/publications/vis-collab.pdf">Visualization Collaborations What Works and Why</a></li><li><a href="http://idl.cs.washington.edu/projects/lyra/">The Lyra Visualization Design Environment (VDE)</a></li><li>Paper: <a href="http://www.cs.ubc.ca/labs/imager/tr/2014/Overview/">Overview: The Design, Adoption, and Analysis of a Visual Document Mining Tool For Investigative Journalists</a> – Matthew Brehmer, Stephen Ingram, Jonathan Stray, and Tamara Munzner [one rare case of adoption study]</li></ul>"" | |||||||||||||||||||
48 | 0 | Fri, 08 May 2015 12:21:58 +0000 | Data Stories tv#00 — The NYT 3D Yield Curve Chart w/ Gregor Aisch | Project | 1 | M | 0:00:00 | http://datastori.es/data-stories-tv-00-the-nyt-3d-yeld-curve-chart-w-gregor-aisch/ | http://datastori.es/podlove/file/842/s/feed/c/podcast/data-stories-tv-0-the-nyt-3d-yeld-curve-chart-w-gregor-aisch.m4a | 0 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/844/s/download/c/buttonlist/data-stories-tv-0-the-nyt-3d-yeld-curve-chart-w-gregor-aisch.mp3">MP3 Audio<span class="size">0 B</span></a> </li> <li> <a href="http://datastori.es/podlove/file/842/s/download/c/buttonlist/data-stories-tv-0-the-nyt-3d-yeld-curve-chart-w-gregor-aisch.m4a">MPEG-4 AAC Audio<span class="size">0 B</span></a> </li> </ul><div style="clear: both"></div><p><a href="http://datastori.es/wp-content/uploads/2015/05/Screen-Shot-2015-05-07-at-4.40.15-PM.png"><img data-attachment-id="820" data-permalink="http://datastori.es/data-stories-tv-00-the-nyt-3d-yeld-curve-chart-w-gregor-aisch/screen-shot-2015-05-07-at-4-40-15-pm/" data-orig-file="http://datastori.es/wp-content/uploads/2015/05/Screen-Shot-2015-05-07-at-4.40.15-PM.png" data-orig-size="1300,958" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="Screen Shot 2015-05-07 at 4.40.15 PM" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/05/Screen-Shot-2015-05-07-at-4.40.15-PM-300x221.png" data-large-file="http://datastori.es/wp-content/uploads/2015/05/Screen-Shot-2015-05-07-at-4.40.15-PM-1024x755.png" class=" wp-image-820 size-medium alignnone" src="http://datastori.es/wp-content/uploads/2015/05/Screen-Shot-2015-05-07-at-4.40.15-PM-300x221.png" alt="Screen Shot 2015-05-07 at 4.40.15 PM" width="300" height="221" srcset="http://datastori.es/wp-content/uploads/2015/05/Screen-Shot-2015-05-07-at-4.40.15-PM-300x221.png 300w, http://datastori.es/wp-content/uploads/2015/05/Screen-Shot-2015-05-07-at-4.40.15-PM-1024x755.png 1024w, http://datastori.es/wp-content/uploads/2015/05/Screen-Shot-2015-05-07-at-4.40.15-PM-407x300.png 407w, http://datastori.es/wp-content/uploads/2015/05/Screen-Shot-2015-05-07-at-4.40.15-PM.png 1300w" sizes="(max-width: 300px) 100vw, 300px" /></a></p><p>Hi Folks, great news … we are experimenting with a new format for Data Stories that includes … that includes … that includes … guess whaaaaaat? Video!</p><p>After having heard many many times that it’s hard to imagine how a visualization looks like when we are talking about it, we have decided to experiment with a new format.</p><p>This is for now just a pilot to see how you guys react, so we would love to hear your feedback about how you like it and how we can improve.</p><p>To be clear: <strong>we are not planning to substitute our regular podcast with this</strong>, we are trying to build a parallel channel.</p><p>—</p><p>Here’s the video!</p><p><iframe style="border: 1px solid #CCC;" src="https://player.vimeo.com/video/127205447" width="600" height="337" allowfullscreen="allowfullscreen"></iframe></p><p><a href="https://vimeo.com/datastories/tv-00" target="_blank">https://vimeo.com/datastories/datastories-tv-00</a></p><p>—</p><p>In this pilot episode the great <a href="http://driven-by-data.net/">Gregor Aisch</a> from the New York Times agreed to describe in detail how the amazing <a href="http://www.nytimes.com/interactive/2015/03/19/upshot/3d-yield-curve-economic-growth.html?_r=0">3D Yield Curve Chart</a> has been realized.</p><p>As many of you may know, 3D visualization has not a very good reputation among data visualization experts, yet <a href="http://driven-by-data.net/">Gregor</a> and <a href="http://amandacox.tumblr.com/">Amanda</a> managed to create a super interesting and useful 3D chart.</p><p>Gregor shows us where the idea originated from, all the crazy details about how to create a 3D chart that people can actually read, and how to calculate optimal views and a good narrative out of it.</p><p>Enjoy the new TV show! We are looking forward to hearing from you.</p><p>P.S. A big big thank you to Gregor for accepting to shoot this video with these two totally unexperienced video editors! <img src="https://s.w.org/images/core/emoji/2.2.1/72x72/1f642.png" alt="🙂" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Thanks Gregor, that was awesome!</p>"" | ||||||||||||||||||||
49 | 53 | Fri, 24 Apr 2015 10:38:33 +0000 | 53 | Data Safaris w/ Benedikt Groß | Chat | 1 | M | 1:04:36 | http://datastori.es/data-stories-53-data-safaris-w-benedikt-gros/ | http://datastori.es/podlove/file/794/s/feed/c/podcast/data-stories-53-data-safari-w-benedikt-gros.m4a | 00:00:00.000: Our sponsor: Tableau | 00:00:29.590: Mo and Enrico catch up | 00:02:02.195: Our Guest: Benedikt Groß | 00:03:42.517: Generative Design book | 00:09:40.567: Dear Data | 00:10:53.743: RCA Design Interactions | 00:12:58.412: Atlas of L.A. pools | 00:28:47.810: Our sponsor: Tableau | 00:30:04.584: Aerial Bold | 00:41:03.416: Letter hunt, letter distributions | 00:43:33.995: population.io | 00:57:29.230: Wider discussion | 01:02:21.788: Crowdsourcing: Foldit | 01:04:11.439: Our sponsor: Tableau | | 14 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/796/s/download/c/buttonlist/data-stories-53-data-safari-w-benedikt-gros.mp3">MP3 Audio<span class="size">59 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/794/s/download/c/buttonlist/data-stories-53-data-safari-w-benedikt-gros.m4a">MPEG-4 AAC Audio<span class="size">46 MB</span></a> </li> </ul><div style="clear: both"></div><p>[This episode of Data Stories is sponsored by <a href="http://www.tableau.com/datastories" target="_blank">Tableau</a>. You can download a free trial at <a href="http://www.tableau.com/datastories" target="_blank">http://tableau.com/datastories</a> – check the new <a href="https://www.tableau.com/new-features/9.0">Tableau 9</a>!]</p><p><a href="http://datastori.es/wp-content/uploads/2015/04/Benedikt.Gross_P9020569_square.png"><img data-attachment-id="811" data-permalink="http://datastori.es/data-stories-53-data-safaris-w-benedikt-gros/benedikt-gross_p9020569_square/" data-orig-file="http://datastori.es/wp-content/uploads/2015/04/Benedikt.Gross_P9020569_square.png" data-orig-size="2346,2346" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="Benedikt.Gross_P9020569_square" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/04/Benedikt.Gross_P9020569_square-300x300.png" data-large-file="http://datastori.es/wp-content/uploads/2015/04/Benedikt.Gross_P9020569_square-1024x1024.png" class="alignleft wp-image-811 size-thumbnail" src="http://datastori.es/wp-content/uploads/2015/04/Benedikt.Gross_P9020569_square-150x150.png" alt="" width="150" height="150" srcset="http://datastori.es/wp-content/uploads/2015/04/Benedikt.Gross_P9020569_square-150x150.png 150w, http://datastori.es/wp-content/uploads/2015/04/Benedikt.Gross_P9020569_square-300x300.png 300w, http://datastori.es/wp-content/uploads/2015/04/Benedikt.Gross_P9020569_square-1024x1024.png 1024w" sizes="(max-width: 150px) 100vw, 150px" /></a>Hi folks! We have <a href="http://benedikt-gross.de/log/">Benedikt Groß</a> with us on the show. Benedikt defines himself as a “<em>speculative and computational designer who works antidisciplinarily.</em>” Benedikt graduated from the Design Interactions course at the Royal College of Art and he works for his studio in Stuttgart, Germany. He is the co-author of ‘<a href="http://www.generative-gestaltung.de/">Generative Design</a>,’ one of the standard books on the topic.</p><p>In the show we talk about some of his amazing data projects at the intersection of art, design, science, sociology, etc. <a href="http://benedikt-gross.de/log/2014/10/aerial-bold-kickstart-the-planetary-search-for-letterforms/">Aerial Bold</a>, for instance, is a project about searching satellite images to find buildings and geographic features that look like letters. <a href="http://benedikt-gross.de/log/2013/06/the-big-atlas-of-la-pools/">The Big Atlas of LA Pools</a>, is a project about mapping all pools in LA. And <a href="http://population.io/">Population.io</a> is about showing demographic data in an engaging way and even giving you a prediction of when you are going to die! This is an amazing episode with stories about how Bill Gates crushed Population.io with one tweet, how they published 74 books of pool images totaling about 6000 pages, and how they outsourced some of the work to an Indian company to trace the pools. Amazing stuff!</p><p>Enjoy it!</p><p>LINKS</p><ul><li><a href="http://www.generative-gestaltung.de/">Generative Design</a> – Benedikt’s book on generative design</li><li><a href="http://www.design-interactions.rca.ac.uk/">RCA Design Interactions</a></li><li><a href="http://benedikt-gross.de/log/2013/06/the-big-atlas-of-la-pools/">The Big Atlas of LA Pools</a></li><li><a href="https://www.kickstarter.com/projects/357538735/aerial-bold-kickstart-the-planetary-search-for-let/description">Aerial Bold Kickstarter Page</a></li><li><a href="http://crowd-aerialbold.rhcloud.com">Letter Hunt for Aerial Bold</a> – help Benedikt and his team find letters!</li><li><a href="http://population.io">Population.io</a></li><li><a href="https://fold.it/portal/">Foldit</a> – Science Gamification Tool</li></ul> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/77-polygraph-and-the-journalist-engineer-matt-daniels/">77 | Polygraph and The Journalist Engineer Matt Daniels</a> </li> </ul>"" | |||||||||||||||||||
50 | 52 | Thu, 02 Apr 2015 14:16:45 +0000 | 52 | Science Communication at SciAm w/ Jen Christiansen | Chat | 1 | F | 1:02:36 | http://datastori.es/ds-52-science-communication-w-jen-christiansen/ | http://datastori.es/podlove/file/683/s/feed/c/podcast/datastories-52.m4a | 00:00:00.000: Our sponsor: Tableau | 00:00:29.449: Intro | 00:02:06.621: Our guest: Jen Christiansen | 00:02:52.436: Jen's background | 00:05:13.164: Change of magazine publishing over last decades | 00:08:41.711: Style changes | 00:12:29.595: Work process | 00:14:31.544: Four lenses | 00:20:08.951: Surprises along the way | 00:21:28.248: Simplification vs. clarification | 00:25:39.036: Where the Wild Bees Are | 00:28:12.277: Our sponsor: Tableau | 00:29:58.259: Visual literacy, reader feedback | 00:31:01.646: Flavor network: Jan Willem Tulp | 00:36:59.288: Digital vs print | 00:40:25.069: Communicating complexity: how to engage people in abstract, complex content | 00:45:27.307: How to get hired / commissioned by Jen | 00:52:19.323: Current data visualization trends: Scientists developing custom tools <http://blogs.scientificamerican.com/sa-visual/2015/02/18 | 00:58:19.607: Pair up designers and scientists | 01:02:12.049: Our sponsor: Tableau | | 20 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/684/s/download/c/buttonlist/datastories-52.mp3">MP3 Audio<span class="size">57 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/683/s/download/c/buttonlist/datastories-52.m4a">MPEG-4 AAC Audio<span class="size">44 MB</span></a> </li> </ul><div style="clear: both"></div><hr /><p>This episode of Data Stories is sponsored by <a href="http://www.tableau.com/datastories" target="_blank">Tableau</a>. You can download a free trial at <a href="http://www.tableau.com/datastories" target="_blank">http://tableau.com/datastories</a>.</p><hr /><p><img data-attachment-id="775" data-permalink="http://datastori.es/ds-52-science-communication-w-jen-christiansen/jen-christiansen/" data-orig-file="http://datastori.es/wp-content/uploads/2015/04/jen-christiansen.jpeg" data-orig-size="400,400" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="jen-christiansen" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/04/jen-christiansen-300x300.jpeg" data-large-file="http://datastori.es/wp-content/uploads/2015/04/jen-christiansen.jpeg" class="alignleft wp-image-775 size-thumbnail" src="http://datastori.es/wp-content/uploads/2015/04/jen-christiansen-150x150.jpeg" alt="jen-christiansen" width="150" height="150" srcset="http://datastori.es/wp-content/uploads/2015/04/jen-christiansen-150x150.jpeg 150w, http://datastori.es/wp-content/uploads/2015/04/jen-christiansen-300x300.jpeg 300w, http://datastori.es/wp-content/uploads/2015/04/jen-christiansen.jpeg 400w" sizes="(max-width: 150px) 100vw, 150px" /></p><p>Hey yo, we have Jen Christiansen from Scientific American with us in DS#52.</p><p>Jen is art director of information graphics at Scientific American magazine where she is been for about then years and she has a background in natural science illustration from the University of California, Santa Cruz.</p><p>Science communication is one of our favorite topics and we are so happy to have such an amazing expert like Jen on the show. Jen reveals the nitty gritty of scientific visualization and illustration as experienced by one of the top scientific communication magazines in the world.</p><p>“<em>How does a scientific piece come to life? Where does an idea for a new piece come from? How do they interact with the scientists to make sure everything they report is accurate and yet accessible for a broad audience? And what does need to be done before an illustration gets ready for print?</em>”</p><p>We discuss this and many other questions with Jen. Enjoy the show!</p><p>LINKS</p><ul><li>Jen Christiansen’s home page <a href="http://jenchristiansen.com">http://jenchristiansen.com</a></li><li>Scientific American: <a href="http://scientificamerican.com">http://scientificamerican.com</a></li><li><a href="http://blogs.scientificamerican.com/sa-visual/2014/05/12/a-look-under-the-hood-of-online-data-visualization/">A Look under the Hood of Online Data Visualization</a> (collection of SciAm graphics from the past)</li><li><a href="http://www.scientificamerican.com/article/where-the-wild-bees-are/">Where the Wild Bees Are: Documenting a Loss of Native Bee Species between the 1800s and 2010s</a> (Piece on Bees done with Moritz) (<a href="http://well-formed-data.net/archives/972/where-the-wild-bees-are">project’s page from Moritz</a>)</li><li>Jan Willem Tulp’s <a href="http://www.scientificamerican.com/article/flavor-connection-taste-map-interactive/">The Flavor Connection</a> (on food pairings theory) – and original scientific article and graphics from Barabási’s lab (<a href="http://www.barabasilab.com/pubs/CCNR-ALB_Publications/201112-15_Nature-Flavor/201112-15_Nature-Flavor.pdf">pdf</a>)</li><li><a href="http://blogs.scientificamerican.com/sa-visual/2015/02/18/pop-culture-pulsar-origin-story-of-joy-divisions-unknown-pleasures-album-cover-video/">Pop Culture Pulsar: Origin Story of Joy Division’s Unknown Pleasures Album Cover</a> (artists using scientists’ images – transcending the context of a visualization)</li></ul> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/73-kim-albrecht-on-untangling-tennis-and-the-cosmic-web/">73 | Kim Albrecht on Untangling Tennis and the Cosmic Web</a> </li> <li> <a href="http://datastori.es/82-information-plus-review/">82 | Information+ Conference Review</a> </li> </ul>"" | |||||||||||||||||||
51 | 51 | Thu, 19 Mar 2015 20:38:03 +0000 | 51 | Smart Cities w/ Dietmar Offenhuber | Chat | 1 | M | 1:10:16 | http://datastori.es/data-stories-51-smart-cities-w-dietmar-offenhuber/ | http://datastori.es/podlove/file/676/s/feed/c/podcast/data-stories-51-smart-cities-w-dietmar-offenhuber.m4a | 00:00:00.000: Our sponsor: Qlik | 00:00:34.000: Intro | 00:02:48.768: FutureEverything conference / Haunted Machines | 00:05:17.366: On Broadway | 00:06:26.331: Our guest: Dietmar Offenhuber | 00:06:49.726: Scent of information workshop | 00:07:26.706: MFA program at Northeastern University | 00:08:12.950: Background: architecture | 00:09:02.741: Ars Electronica FutureLab | 00:09:35.090: Sociable Media Group at MIT | 00:09:49.540: PhD at Senseable Citylab | 00:10:03.193: MFA program at Northeastern University pt2 | 00:12:54.000: Wegzeit | 00:18:05.680: Media preservation | 00:19:40.921: semaspace, comment flow | 00:22:46.525: Trash Track | 00:30:16.311: DIY tracking | 00:30:52.000: Our sponsor: Qlik | 00:32:10.250: Smart cities | 00:37:36.228: Are there many cities smart yet? | 00:38:38.736: Bill Mitchell @ MIT | 00:40:29.421: New York fire system fail | 00:42:25.986: "Smart city" as buzzword | 00:45:04.268: Typical data feeds | 00:50:06.143: Blind spots | 00:55:44.853: "Good enough" optimization | 00:58:03.726: What does it mean to optimize a city? | 01:00:21.180: Future trends: informality, self-organization | 01:05:41.173: Developments outside US, Europe | 01:09:23.906: Our sponsor: Qlik | | 30 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/674/s/download/c/buttonlist/data-stories-51-smart-cities-w-dietmar-offenhuber.mp3">MP3 Audio<span class="size">64 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/676/s/download/c/buttonlist/data-stories-51-smart-cities-w-dietmar-offenhuber.m4a">MPEG-4 AAC Audio<span class="size">50 MB</span></a> </li> </ul><div style="clear: both"></div><hr /><p>We are now sponsored by <a href="http://www.qlik.com/us/explore/products/sense/desktop?sourceID1=datastories">Qlik</a>. You can download it for free <a href="http://www.qlik.com/us/explore/products/sense/desktop?sourceID1=datastories">here</a>.</p><hr /><p>Hi Folks!</p><p><a href="http://datastori.es/wp-content/uploads/2015/03/offenhuber1.jpg"><img data-attachment-id="769" data-permalink="http://datastori.es/data-stories-51-smart-cities-w-dietmar-offenhuber/dietmar-offenhuber/" data-orig-file="http://datastori.es/wp-content/uploads/2015/03/offenhuber1.jpg" data-orig-size="300,175" data-comments-opened="1" data-image-meta="{"aperture":"2","credit":"Canaday, Brooks","camera":"NIKON D3S","caption":"August 28, 2013 - Dietmar Offenhuber, a new faculty member in the College of Arts, Media and Design and the College of Social Sciences and Humanities, specializes in visualization and information design.","created_timestamp":"1377720689","copyright":"Copyright Northeastern University 2013","focal_length":"85","iso":"200","shutter_speed":"0.005","title":"Dietmar Offenhuber","orientation":"1"}" data-image-title="Dietmar Offenhuber" data-image-description="<p>August 28, 2013 – Dietmar Offenhuber, a new faculty member in the College of Arts, Media and Design and the College of Social Sciences and Humanities, specializes in visualization and information design.</p>" data-medium-file="http://datastori.es/wp-content/uploads/2015/03/offenhuber1-300x175.jpg" data-large-file="http://datastori.es/wp-content/uploads/2015/03/offenhuber1.jpg" class="alignnone size-full wp-image-769" src="http://datastori.es/wp-content/uploads/2015/03/offenhuber1.jpg" alt="Dietmar Offenhuber" width="300" height="175" /></a></p><p>We have another great guest on the show. <a href="http://offenhuber.net">Dietmar Offenhuber</a> visits us to talk about smart cities and visualizing data coming from cities.</p><p>Dietmar has an interesting background. He has a background in architecture with a Dipl. Ing. from the Technical University Vienna and then he got a MS in Media Arts and Sciences from the MIT Media Lab and a PhD in Urban Planning from MIT. He’s also been a key researcher at Ars Electronica Futurelab.</p><p>Now he is an Assistant Professor at Northeastern University in the departments of Art + Design and Public Policy, where he does research on the technological and social aspects of smart cities and urban governance.</p><p>In the show we talk about many of his super interesting projects such as <a href="http://residence.aec.at/wegzeit/">Wegzeit</a> (timespace visualizations of LA) and <a href="http://senseable.mit.edu/trashtrack/">Trash Track</a> (on tracking and visualizing where garbage goes), and interesting concepts such as <a href="http://offenhuber.net/accountability-technologies/">Accountability Technologies</a> and <a href="http://offenhuber.net/the-designer-as-regulator-new-paper-on-infrastructure-legibility/">Infrastructure Legibility</a>. We also talk about the future of smart cities and what we should expect to get our of smart cities.</p><p>Enjoy the show!</p><p><strong>LINKS</strong></p><p>(Moritz Launched <a href="http://on-broadway.nyc">ON BROADWAY</a> with Lev Manovich, Dominikus Baur, Daniel Goddemeyer)</p><p>Our Guest: <a href="http://offenhuber.net">Dietmar Offenhuber</a><br /><a href="http://www.aec.at/futurelab/en/">Arts Electronica Future Lab<br /></a><a href="http://senseable.mit.edu/">MIT Senseable City Lab<br /></a><a href="http://www.northeastern.edu/camd/artdesign/">Northeastern University Department of Art + Design</a><a href="http://www.aec.at/futurelab/en/"><br /></a>Wegzeit – <a href="http://residence.aec.at/wegzeit/">timespace visualizations of LA<br /></a><a href="http://web.media.mit.edu/~dietmar/myspace.html">Comment Flow</a> (social media visualization)<br /><a href="http://residence.aec.at/didi/FLweb/">Semaspace</a> (graph editing tool)<br /><a href="http://senseable.mit.edu/trashtrack/">Trash Track</a> (tracking and visualizing trash)<br /><a href="https://smartcitizen.me/">Smartcitizen</a> (distributed crowdsourced sensors)<br /><a href="http://web.media.mit.edu/~wjm/">Bill Mitchell</a> (MIT Media Lab Professor of Architecture and Media Arts and Sciences)<br /><a href="http://infosthetics.com/archives/2009/09/mapping_the_archive_30_years_of_ars_electronica.html">Mapping the archive</a> (project with Dietmar and Moritz on the Arts Electronica Archive)<br />Dietmar’s Interview: <a href="http://www.aec.at/aeblog/en/2015/02/26/sorting-out-cities/%20">Sorting Out Cities<br /></a>Deitmar’s Book: <a href="http://offenhuber.net/inscribing-a-square-new-book/">Inscribing A Square </a>(how urban data shapes public space / discourse, and what kinds of representations are involved, and what is their function)<br />Dietmar’s Book: <a href="http://offenhuber.net/new-book-accountability-technologies-tools-for-asking-hard-questions/">Accountability Technologies</a> – Tools for Asking Hard Questions<br />Dietmar’s Book: <a href="http://offenhuber.net/decoding-the-city-new-book/">Decoding The City</a></p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/80-indexical-visualization-with-dietmar-offenhuber/">80 | Indexical Visualization with Dietmar Offenhuber</a> </li> </ul>"" | |||||||||||||||||||
52 | 50 | Fri, 06 Mar 2015 15:57:11 +0000 | 50 | Happy Birthday Data Stories! | Other | 0 | NA | 0:00:00 | http://datastori.es/data-stories-50-happy-birthday-data-stories/ | http://datastori.es/podlove/file/659/s/feed/c/podcast/data-stories-50-happy-birthday-data-stories.m4a | 00:00:00.000: Our sponsor: Qlik | 00:00:33.333: 50 years of datastories! | 00:06:40.290: Graham from Zimbabwe | 00:08:03.658: Robert RJ Weise | 00:10:58.165: Ariel Aizemberg | 00:11:47.206: Podcast recommendation: Talking Machines | 00:12:44.333: Podcast recommendations: Theory of Everything | 00:13:26.930: Podcast: Song exploder | 00:17:17.333: Podcast: Reply all | 00:18:36.173: Tamara Munzner's Limerick | 00:19:39.500: Our sponsor: Qlik | 00:21:43.500: Neil from Buffalo | 00:24:57.903: Andy Kirk | 00:26:31.891: Robert Kosara | 00:28:05.945: Erik Jacobson's epic Data Stories supercut! | 00:31:02.668: Wrapping it up | 00:32:41.468: Bonus material: Alberto Cairo | 00:34:59.468: Kyle from the data skeptic podcast | 00:35:29.076: "Las Mañanitas" from Nora Morales | 00:36:47.833: Our sponsor: Qlik | | 20 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/661/s/download/c/buttonlist/data-stories-50-happy-birthday-data-stories.mp3">MP3 Audio<span class="size">34 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/659/s/download/c/buttonlist/data-stories-50-happy-birthday-data-stories.m4a">MPEG-4 AAC Audio<span class="size">27 MB</span></a> </li> </ul><div style="clear: both"></div><hr /><p>We are now sponsored by <a href="http://www.qlik.com/us/explore/products/sense/desktop?sourceID1=datastories">Qlik</a>. You can download it for free <a href="http://www.qlik.com/us/explore/products/sense/desktop?sourceID1=datastories">here</a>.</p><hr /><p>Ah! We made it to 50 episodes and three years of this lovely podcast of ours. We have loved every bit of it, every guest, every single discussion and all the support we received from everyone.</p><p>For this episode we asked repeatedly to submit a short audio snippet or text and we received a few amazing ones. We are very grateful to you all guys, this is amazing.</p><p>In the episode we talk about a few statistics we extracted on episodes with highest number of listeners and blog posts with highest number of visits. We then read the text messages we received. And finally we have inserted the audio messages we received. THANKS A LOT! This is amazing.</p><p>P.S. Special thanks to Erik Jacobson for his amazing collage! <img src="https://s.w.org/images/core/emoji/2.2.1/72x72/1f642.png" alt="🙂" class="wp-smiley" style="height: 1em; max-height: 1em;" /></p><p>LINKS</p><p>Most popular episodes (of about the last 12 months)</p><p><a href="http://datastori.es/wp-admin/admin.php?page=podlove_analytics&action=show&episode=195">Data Stories #39: DensityDesign w/ Paolo Ciuccarelli<br /></a><a href="http://datastori.es/wp-admin/admin.php?page=podlove_analytics&action=show&episode=192">Data Stories #38: Visual Complexity w/ Manuel Lima<br /></a><a href="http://datastori.es/wp-admin/admin.php?page=podlove_analytics&action=show&episode=197">Data Stories #40: Narrative Visualization Research w/ Jessica Hullman<br /></a><a href="http://datastori.es/wp-admin/admin.php?page=podlove_analytics&action=show&episode=215">Data Stories #44: w/ Tamara Munzner</a></p><p>Most popular pages:</p><p><a href="http://datastori.es/episode-5-how-to-learn-data-visualization-with-andy-kirk/">Data Stories #5 – How To Learn Data Visualization (with Andy Kirk)<br /></a><a href="http://datastori.es/data-stories-22-nyt-graphics-and-d3-with-mike-bostock-and-shan-carter/">Data Stories #22: NYT Graphics and D3 with Mike Bostock and Shan Carter<br /></a><a href="http://datastori.es/data-stories-35-visual-storytelling-w-alberto-cairo-and-robert-kosara/">Data Stories #35: Visual Storytelling w/ Alberto Cairo and Robert Kosara</a></p><p>Podcast recommendations:</p><p><a href="http://www.thetalkingmachines.com">Talking Machines</a> (on Machine Learning)<br /><a href="http://toe.prx.org">Theory Of Everything<br /></a><a href="http://songexploder.net/">Song Exploder<br /></a><a href="http://gimletmedia.com/show/reply-all/">Reply All</a></p><p> </p><p> </p>"" | |||||||||||||||||||
53 | 49 | Fri, 27 Feb 2015 23:56:16 +0000 | 49 | Data Journalism at ProPublica w/ Scott Klein | Chat | 1 | M | 1:08:40 | http://datastori.es/data-stories-49-data-journalism-at-propublica-w-scott-klein/ | http://datastori.es/podlove/file/633/s/feed/c/podcast/data-stories-49-data-journalism-at-propublica-w-scott-klein.m4a | 00:00:00.000: Our sponsor: Qlik | 00:00:25.976: Intro | 00:02:28.018: Our guest: Scott Klein from propublica | 00:04:49.908: Personal background | 00:05:54.226: Team at propublica | 00:08:41.500: News apps | 00:11:42.430: Contextualizing information | 00:17:52.430: Maintaining the apps | 00:21:05.530: Data and app lifecycles, remix culture | 00:25:28.865: Our sponsor: Qlik | 00:27:57.458: Data and app lifecycles, remix culture | 00:27:59.431: Impact | 00:30:46.483: How do you pick stories to investigate? | 00:37:59.906: How to deal with the responsibility of putting out correct data | 00:39:21.381: Documenting and providing data sources and statistical models/methodologies | 00:44:22.991: User testing | 00:51:54.416: Newsworthiness | 00:55:13.138: Toolkit, dev workflow | 00:58:15.423: How to become a data journalist | 01:06:07.916: Books | 01:08:07.750: Our sponsor: Qlik | | 21 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/630/s/download/c/buttonlist/data-stories-49-data-journalism-at-propublica-w-scott-klein.mp3">MP3 Audio<span class="size">63 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/633/s/download/c/buttonlist/data-stories-49-data-journalism-at-propublica-w-scott-klein.m4a">MPEG-4 AAC Audio<span class="size">49 MB</span></a> </li> </ul><div style="clear: both"></div><hr /><p>We are now sponsored by <a href="http://www.qlik.com/us/explore/products/sense/desktop?sourceID1=datastories">Qlik</a>. You can download it for free <a href="http://www.qlik.com/us/explore/products/sense/desktop?sourceID1=datastories">here</a></p><hr /><p><a href="http://datastori.es/wp-content/uploads/2015/02/scott-klein.jpg"><img data-attachment-id="783" data-permalink="http://datastori.es/data-stories-49-data-journalism-at-propublica-w-scott-klein/scott-klein/" data-orig-file="http://datastori.es/wp-content/uploads/2015/02/scott-klein.jpg" data-orig-size="300,250" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="scott-klein" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/02/scott-klein-300x250.jpg" data-large-file="http://datastori.es/wp-content/uploads/2015/02/scott-klein.jpg" class="alignleft size-thumbnail wp-image-783" src="http://datastori.es/wp-content/uploads/2015/02/scott-klein-150x150.jpg" alt="scott-klein" width="150" height="150" /></a>Hi everyone,</p><p>In this episode we have <a href="http://www.propublica.org/site/author/scott_klein">Scott Klein</a> from <a href="http://www.propublica.org">ProPublica</a> with us. ProPublica is a nonprofit organization that does investigative journalism and Scott directs a team of data journalists and programmers to create new applications based on data and data visualization.</p><p>In the show we talk about how ProPublica works and what challenges they are confronted with. How do you pick a story? How do you develop it? How do you make sure you are not making mistakes? This are some of the questions we discuss. We also talk about tools and libraries and how to train yourself to become a data journalist.</p><p>This was a very much needed episode as we never had a proper episode on data journalism. Thanks Scott for coming on the show!</p><p>—</p><p>LINKS</p><p>ProPublica’s <a href="http://projects.propublica.org/docdollars/">Dollars for Docs<br /></a>Book: <a href="http://www.amazon.com/How-Not-Be-Wrong-Mathematical/dp/1594205221">How Not To Be Wrong</a> by Jordan Ellenberg<br />PDF Scraping Tool: Tabula (<a href="http://tabula.technology/">http://tabula.technology/</a>)<br /><a href="http://ipython.org/notebook.html">The IPython Notebook</a> (web-based interactive computational environment)<br />ProPublica’s <a href="https://github.com/propublica/">Open Source Tools<br /></a>The New School’s Program <a href="http://www.newschool.edu/lang/journalism-design/">Journalism + Design<br /></a><a href="http://www.propublica.org/nerds">The ProPublica Nerd Blog<br /></a><a href="http://opennews.org/">Knight-Mozilla Open News</a> (community of data journalists)<br /><a href="http://www.ire.org/resource-center/listservs/subscribe-nicar-l/">NICAR-L Mailing List</a> (National Institute for Computer-Assisted Reporting)</p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/85-machine-bias-with-jeff-larson/">85 | Machine Bias with Jeff Larson</a> </li> </ul>"" | |||||||||||||||||||
54 | 48 | Tue, 10 Feb 2015 08:54:51 +0000 | 48 | Vis Going Mainstream w/ Stamen’s CEO Eric Rodenbeck | Chat | 1 | M | 0:56:28 | http://datastori.es/data-stories-48-vis-going-mainstream-w-stamens-ceo-eric-rodenbeck/ | http://datastori.es/podlove/file/599/s/feed/c/podcast/data-stories-48-vis-going-mainstream-w-stamens-ceo-eric-rodenbeck.m4a | 00:00:00.000: Our sponsor: Qlik | 00:00:40.128: Let's talk about the weather :D | 00:00:56.471: Eric Rodenbeck | 00:04:01.971: What's the market for high end bespoke data visualizations? | 00:07:04.668: Digg Labs visualizations | 00:08:59.333: Changing literacy among clients, audience | 00:14:15.216: Going mainstream - data vis gentrification? | 00:19:05.393: Michael Naimark: First word art, last work art | 00:20:11.366: Data vis genres | 00:21:56.756: Our sponsor: Qlik | 00:23:27.525: The practical, business side of data visualizations | 00:26:08.318: Process consistency | 00:28:00.956: Embracing early uncertainty, encouraging play | 00:29:40.943: Ideal team size | 00:31:54.165: Impact | 00:38:42.200: Measuring impact | 00:42:47.276: Maptime | 00:45:19.430: Deb Chachra: Why I'm not a maker | 00:48:18.653: Making and breaking vs nurturing and growing | 00:55:44.603: Our sponsor: Qlik | | 20 | Great episode here folks! We have Stamen‘s CEO Eric Rodenbeck on the show to talk about “Visualization Going Mainstream”. Moritz took inspiration from Eric’s Eyeo talk “And Then There Were Twelve – How to (keep) running a successful data visualization and design studio.” and decided he must come on the show. Stamen is a design studio in San Francisco founded in 2001 by Eric. They have been real pioneers in data visualization and cartographic mapping with the production of great apps and libraries such as Pretty Maps, Trulia Hindsight, Crimespotting and many many more. (See also our episode with Mike Migurski) With Eric we discuss a broad range of important topics including: how to manage a vis business, how to have an impact with visualization and visualization success stories. Enjoy the show! LINKS Eric’s talk at Eyeo Stamen’s Digg Labs visualization Founder of Digg Kevin Rose First word art / last word art Book: Maps and Legends Out of Sight, Out of Mind – Pitch Interactive’s Drones Visualization James Bridle’s Dronestagram Stamen’s Crimespotting Project (mapping crime in San Francisco and Oakland) maptime.io: open learning environment to learn how to make maps The Atlantic’s Article on: Why I Am Not A Maker Stamen’s Work with San Francisco Museum Of Art | |||||||||||||||||||
55 | 47 | Wed, 28 Jan 2015 14:34:14 +0000 | 47 | Moritz and Enrico on Books, Data Literacy, Their Projects, Etc. | Other | 0 | NA | 1:12:18 | http://datastori.es/data-stories-47-moritz-and-enrico-on-books-data-literacy-their-projects-etc/ | http://datastori.es/podlove/file/580/s/feed/c/podcast/datastories-47.m4a | 00:00:00.000: New sponsor: Qlik | 00:00:45.000: Intro | 00:01:53.666: Mo's rule of thirds | 00:03:31.000: No special guest! | 00:05:04.456: Books: New Challenges for Data Design | 00:08:28.430: Academics and practitioners | 00:13:33.736: Statistics as Principled Argument | 00:18:34.206: Data Literacy | 00:23:51.523: Data vis for kids? | 00:27:42.006: Kyle MacDonald: Serendipity | 00:29:49.673: We need more art! | 00:32:30.491: On Broadway | 00:35:06.000: Data Cuisine | 00:37:07.423: OECD Data Portal | 00:39:37.033: Our sponsor: Qlik | 00:44:16.165: Deception | 00:49:51.046: Persuasion | 00:57:29.101: Complexity and sensemaking | | 18 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/579/s/download/c/buttonlist/datastories-47.mp3">MP3 Audio<span class="size">66 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/580/s/download/c/buttonlist/datastories-47.m4a">MPEG-4 AAC Audio<span class="size">51 MB</span></a> </li> </ul><div style="clear: both"></div><p>[We are now sponsored by <a href="http://www.qlik.com/us/explore/products/sense/desktop?sourceID1=datastories">Qlik</a>. You can download it for free <a href="http://www.qlik.com/us/explore/products/sense/desktop?sourceID1=datastories">here</a>]</p><p>Hi Folks,</p><p>This is some kind of new experiment: it’s just us, Enrico and Moritz, on the show. We talk about stuff we normally don’t have the opportunity to talk about when we have a guest. We feel it’s nice to have from time to time something different. We hope you like this new format!</p><p>In this episode we talk about some books we like and suggest, updates on some of our work, and about data literacy. If you want to suggest something to talk about in future episodes like this feel free to drop us a line on twitter, facebook, as a comment to this episode or via email.</p><p>Links</p><ul><li>New Book: New challenges for Data Design<ul><li><a href="http://www.springer.com/engineering/production+engineering/book/978-1-4471-6595-8">Book’s web page on Springer</a></li><li>Free chapter with <a href="http://truth-and-beauty.net/appearances/in-the-media/new-challenges-for-data-design">interview with Moritz</a></li><li><a href="http://www.springer.com/fr/eproducts/springer-ebooks/mycopy">eBook </a>(much cheaper!)</li></ul></li><li>Book: Statistics as Principled Argument<ul><li>Enrico’s <a href="http://fellinlovewithdata.com/reviews/book-statistics-as-principled-argument">short post</a> on the book</li><li>The book <a href="http://www.amazon.com/Statistics-Principled-Argument-Robert-Abelson/dp/0805805281/">on Amazon</a></li></ul></li><li>Book: <a href="http://www.amazon.com/Poor-Numbers-Development-Statistics-Political/dp/080147860X/">Poor Numbers</a></li><li>Book: <a href="http://datajournalismhandbook.org/">Data Journalism Handbook</a></li><li><a href="https://www.spotify.com/us/arts/serendipity/">Serendipity from Spotify</a></li><li>Jer Thorp’s article “<a href="https://medium.com/@blprnt/an-artist-in-every-library-c0df05bf3c9">An Artist in Every Library</a>”</li><li>Updates from Moritz<ul><li><a href="http://on-broadway.nyc/">On Broadway installation</a> by Moritz et al.</li><li><a href="http://data-cuisine.net/">Data Cuisine</a></li><li><a href="http://data.oecd.org">OECD Portal</a></li></ul></li><li><a href="http://www.wikidata.org/wiki/Wikidata:Main_Page">Wikidata</a></li><li>Updates from Enrico<ul><li>Paper: <a href="http://lsr.nellco.org/cgi/viewcontent.cgi?article=1476&context=nyu_plltwp&sei-redir=1">The Persuasive Power of Data Visualization</a></li><li>Paper: How Deceptive are Deceptive Visualizations</li></ul></li><li>PolicyViz <a href="http://policyviz.com/talking-zero-baselines/">on Zero Baselines</a></li></ul>"" | |||||||||||||||||||
56 | 46 | Wed, 21 Jan 2015 21:54:14 +0000 | 46 | Year 2014 Review w/ Robert Kosara and Andy Kirk | Year Review | 2 | M | 1:24:29 | http://datastori.es/data-stories-46-year-2014-review-w-robert-kosara-and-andy-kirk/ | http://datastori.es/podlove/file/567/s/feed/c/podcast/datastories-46.m4a | 00:00:00.000: Intro | 00:01:10.893: Enrico and Moritz catch up | 00:02:21.794: Trends and themes from 2014 | 00:06:06.427: Stephen Few: A year to surpass | 00:09:22.058: Data journalism | 00:13:26.968: Data journalism proving it's worth | 00:14:21.329: Andy's data journalism favourite, #1 | 00:15:13.245: Andy's data journalism favourite, #2 | 00:16:57.070: Scrollytelling | 00:22:24.405: Selfiecity | 00:23:26.556: Depth and curation | 00:24:09.224: Academia | 00:25:47.995: Rise of the data scientist | 00:29:17.008: Reading: Visualization Analysis and Design | 00:30:00.451: Reading: Raw Data: Infographic Designers' Sketchbooks | 00:30:54.151: Reading: Understanding the World | 00:31:33.872: Reading: Book of Trees | 00:31:44.007: Reading: Best American Infographics | 00:34:18.718: Blogging | 00:38:46.689: Visual Loop | 00:40:41.828: Visualization manifesto | 00:43:30.661: Alberto Cairo: The Functional Art | 00:44:44.684: Podcasts | 00:45:11.265: Podcasts: Development Drums | 00:46:01.005: Podcasts: Reply All | 00:46:15.001: Podcasts: Rad Presenters | 00:46:31.966: Podcast: Tableau Wannabe | 00:47:26.489: Our Sponsor: Tableau | 00:47:59.989: Tools | 00:48:42.827: Tools: Raw | 00:49:33.105: Tools: Lyra | 00:51:18.311: Tools: Vega | 00:53:06.824: Tools: Trifacta | 00:55:15.805: Tools: Mirador | 00:56:11.048: Tools: Tableau for Mac | 00:58:51.138: Tools: Data Wrapper | 01:01:42.653: Tools: d3 deconstructor | 01:03:04.419: Tools: Shiny by RStudio | 01:04:37.667: Rise of the data scientist | 01:08:45.985: Looking to the future | 01:09:13.985: Serial podcast | 01:12:55.171: Hopes and fears for 2015 | | 42 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/568/s/download/c/buttonlist/datastories-46.mp3">MP3 Audio<span class="size">78 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/567/s/download/c/buttonlist/datastories-46.m4a">MPEG-4 AAC Audio<span class="size">60 MB</span></a> </li> </ul><div style="clear: both"></div><p>Hey yo! We have two classic guests for a classic episode: a year review with Robert Kosara and Andy Kirk. We talk about what happened in visualization in 2014 and what may happen in 2015. We start the show saying that nothing really special happened, but then you’ll see we cover a lot of ground and end up eventually deciding that a lot did happen! You can see that from our long list of links. Enjoy the show!</p><p>Links</p><ul><li>Vox: <a href="http://www.vox.com/">http://www.vox.com/</a></li><li>538: <a href="http://fivethirtyeight.com/">http://fivethirtyeight.com/</a></li><li>Upshot: <a href="http://www.nytimes.com/upshot/">http://www.nytimes.com/upshot/</a></li><li>Marshall Project: <a href="https://www.themarshallproject.org/">https://www.themarshallproject.org/</a></li><li>Washington post data graphics: <a href="http://postgraphics.tumblr.com/">http://postgraphics.tumblr.com/</a></li><li>Die Zeit: <a href="http://www.zeit.de/index">http://www.zeit.de/index</a></li><li>Financial Times: <a href="http://blogs.ft.com/ftdata/">http://blogs.ft.com/ftdata/</a></li><li>Bloomberg: <a href="http://www.bloomberg.com/visual-data/">http://www.bloomberg.com/visual-data/</a></li><li><a href="http://www.nytimes.com/interactive/2014/06/05/upshot/how-the-recession-reshaped-the-economy-in-255-charts.html?&_r=1">Reshaped Economy in 255 Charts, NYT</a></li><li><a href="http://www.nytimes.com/interactive/2014/11/04/upshot/senate-maps.html">The Most Detailed Maps You’ll See From the Midterm Elections</a>,</li><li>Tamara Munzner’s book: <a href="http://www.cs.ubc.ca/~tmm/vadbook/">Visualization Analysis and Design</a>.</li><li>Heller and Landers’ book: ‘<a href="http://www.thamesandhudson.com/Raw_Data/9780500517451">Raw Data: Infographic Designers’ Sketchbooks</a>’.</li><li>Book: <a href="http://www.taschen.com/pages/en/catalogue/design/all/03411/facts.understanding_the_world_the_atlas_of_infographics.htm">Understanding the World</a></li><li>Book: <a href="http://www.bookoftrees.info/bt/">Book of Trees</a></li><li>Book: <a href="http://www.hmhco.com/shop/general-interest/best-american/best-american-2014/best-american-infographics">Best American Infographics</a></li><li>Blogs<ul><li>Kaiser Fung: <a href="http://junkcharts.typepad.com/">http://junkcharts.typepad.com/</a></li><li>Flowingdata: <a href="http://www.radpresenters.com">http://</a><a href="http://flowingdata.com/">flowingdata.com/</a></li><li>Eagereyes: <a href="https://eagereyes.org/">https://eagereyes.org/</a></li><li>Visualisingdata: <a href="http://www.visualisingdata.com/">www.visualisingdata.com/</a></li><li>Visualloop, (acquired by infogr.am): <a href="http://visualoop.com/">http://visualoop.com/</a></li><li>Manuel Lima’s visualization manifesto <a href="http://www.visualcomplexity.com/vc/blog/?p=644">http://www.visualcomplexity.com/vc/blog/?p=644</a></li><li>Functional Art blog: <a href="http://www.thefunctionalart.com/">www.thefunctionalart.com/</a></li></ul></li><li>Podcasts:<ul><li>Rad Presenters <a href="http://www.radpresenters.com">http://www.radpresenters.com</a></li><li>Tableau Wannabe <a href="http://wannabeawesomeme.weebly.com/the-tableau-wannabe-podcast">http://wannabeawesomeme.weebly.com/the-tableau-wannabe-podcast</a></li></ul></li><li>Visualisingdata resources list: <a href="http://www.visualisingdata.com/index.php/resources/">http://www.visualisingdata.com/index.php/resources/</a></li><li>Raw tool: <a href="http://raw.densitydesign.org/">http://raw.densitydesign.org/</a></li><li>Jeff Heer: <a href="http://homes.cs.washington.edu/~jheer/">http://homes.cs.washington.edu/~jheer/</a></li><li>Lyra: <a href="http://idl.cs.washington.edu/papers/lyra">http://idl.cs.washington.edu/papers/lyra</a></li><li>Vega: <a href="http://trifacta.github.io/vega/">http://trifacta.github.io/vega/</a></li><li>Trifacta: <a href="http://www.trifacta.com/">http://www.trifacta.com/</a></li><li>Miradora: <a href="http://fathom.info/mirador/">http://fathom.info/mirador/</a></li><li>Tableau for Mac! <a href="http://www.tableausoftware.com/new-features/8.2">http://www.tableausoftware.com/new-features/8.2</a></li><li>Data Wrapper changing business model: <a href="https://datawrapper.de/">https://datawrapper.de/</a></li><li>D3 Deconstructor: http://ucbvislab.github.io/d3-deconstructor/</li><li>Shiny from rstudio: <a href="http://shiny.rstudio.com/gallery/">http://shiny.rstudio.com/gallery/</a></li><li><a href="http://en.wikipedia.org/wiki/John_Tukey">John Tukey</a> and <a href="http://www.amazon.com/Howard-Wainer/e/B000AP7SUU">Howard Wainer</a></li><li>Serial Podcast: <a href="http://serialpodcast.org/">http://serialpodcast.org/</a></li><li>Paper on <a href="https://hal.inria.fr/hal-01027582/document">Visualization Literacy</a> by the INRIA folks and Enrico</li></ul> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/89-data-vis-around-the-world-in-2016/">89 | Data Vis Around the World in 2016</a> </li> </ul>"" | |||||||||||||||||||
57 | 45 | Sat, 03 Jan 2015 15:30:36 +0000 | 45 | Nicholas Felton | Chat | 1 | M | 0:57:00 | http://datastori.es/data-stories-44-with-nicholas-felton/ | http://datastori.es/podlove/file/545/s/feed/c/podcast/data-stories-45-with-nicholas-felton.m4a | 00:00:00.000: Intro | 00:00:35.166: Mo in New York | 00:01:11.500: Our guest: Nicholas Felton | 00:01:34.456: Personal Annual Reports | 00:05:09.611: Effects of self-tracking | 00:09:46.643: Could it become mainstream? | 00:11:17.435: Open source your data? | 00:12:33.638: Privacy concerns | 00:17:55.805: Nick invented a pants detector | 00:19:07.778: Tracking devices as tamagotchis | 00:21:37.778: Data collection | 00:27:05.875: Our sponsor: Tableau | 00:27:38.500: Apps | 00:28:26.126: Process: why a book, and how do you create them? | 00:30:16.773: Learning to code | 00:33:35.453: Typography | 00:43:36.850: Are there more people like Nick? | 00:44:02.418: Sophie Calle | 00:45:39.420: Data collection as a creative act | 00:49:58.931: Will there be a data hangover after 10 years of tracking? | 00:52:28.435: Data-implied stories | 00:55:00.796: DIY tracking? | | 22 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/542/s/download/c/buttonlist/data-stories-45-with-nicholas-felton.mp3">MP3 Audio<span class="size">52 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/545/s/download/c/buttonlist/data-stories-45-with-nicholas-felton.m4a">MPEG-4 AAC Audio<span class="size">40 MB</span></a> </li> </ul><div style="clear: both"></div><p>Happy new year, everyone!</p><p>We start 2015 with a bang, and have <a href="http://feltron.com">Nicholas Felton</a> on the show. We talk about his personal annual reports, typography, privacy, and how we all deal with data and tracking today. Great conversation.</p><p><img data-attachment-id="1705" data-permalink="http://datastori.es/data-stories-44-with-nicholas-felton/tumblr_nsd9ovvulg1qca2l6o1_r1_1280/" data-orig-file="http://datastori.es/wp-content/uploads/2015/01/tumblr_nsd9ovVULG1qca2l6o1_r1_1280.jpg" data-orig-size="1200,1200" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="tumblr_nsd9ovVULG1qca2l6o1_r1_1280" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2015/01/tumblr_nsd9ovVULG1qca2l6o1_r1_1280-300x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2015/01/tumblr_nsd9ovVULG1qca2l6o1_r1_1280-1024x1024.jpg" class="alignnone size-large wp-image-1705" src="http://datastori.es/wp-content/uploads/2015/01/tumblr_nsd9ovVULG1qca2l6o1_r1_1280-1024x1024.jpg" alt="tumblr_nsd9ovVULG1qca2l6o1_r1_1280" width="620" height="620" srcset="http://datastori.es/wp-content/uploads/2015/01/tumblr_nsd9ovVULG1qca2l6o1_r1_1280-1024x1024.jpg 1024w, http://datastori.es/wp-content/uploads/2015/01/tumblr_nsd9ovVULG1qca2l6o1_r1_1280-150x150.jpg 150w, http://datastori.es/wp-content/uploads/2015/01/tumblr_nsd9ovVULG1qca2l6o1_r1_1280-300x300.jpg 300w, http://datastori.es/wp-content/uploads/2015/01/tumblr_nsd9ovVULG1qca2l6o1_r1_1280-768x768.jpg 768w, http://datastori.es/wp-content/uploads/2015/01/tumblr_nsd9ovVULG1qca2l6o1_r1_1280.jpg 1200w" sizes="(max-width: 620px) 100vw, 620px" /></p><p>One more link we only found later: <a href="http://practicaltypography.com">Practical Typography</a> is a great starting point for anyone who would like to learn more about typography and type.</p><p>Thanks again to <a href="http://tableausoftware.com/datastories">Tableau Software</a> for sponsoring the show! Check out the <a href="http://tableausoftware.com/datastories">free trial</a> they have, it’s a great piece of software.</p><p>And, in other news: We are looking for support with the audio editing! So, if you have some experience with audio editing podcasts, and could also imagine to help us with collection the links and titling the chapters etc, this would be great. We can offer a small compensation, too. And, of course, you’re among the very first people worldwide to listen to the new Data Stories recordings <img src="https://s.w.org/images/core/emoji/2.2.1/72x72/1f642.png" alt="🙂" class="wp-smiley" style="height: 1em; max-height: 1em;" /></p><p>Next week, we will record a 2014 review with a few of the usual suspects. What moved you this year? Leave us a comment or <a href="http://twitter.com/datastories">tweet</a> us!</p>"" | |||||||||||||||||||
58 | 44 | Mon, 22 Dec 2014 14:00:07 +0000 | 44 | Tamara Munzner | Chat | 1 | F | 1:18:15 | http://datastori.es/data-stories-44/ | http://datastori.es/podlove/file/502/s/feed/c/podcast/datastories-44.m4a | 00:00:00.000: Start | 00:00:36.913: Intro | 00:01:15.423: Introducing Tamara Munzner | 00:02:24.986: The Geometry Center | 00:03:07.263: Geomview | 00:14:04.396: Visalization Analysis and Design | 00:17:56.568: Task Taxonomy for Visualization | 00:22:00.278: The Nested Model | 00:32:30.195: Design Studies | 00:36:37.101: Visualization for Data Analysis vs Presentation | 00:39:14.020: General Purpose vs Case Study solutions | 00:46:58.048: Our sponsor: Tableau | 00:48:38.796: Design Studies: Core Process | 00:52:55.730: Design Studies: Academics vs Practicioners | 01:00:27.716: What is a good visualization problem | 01:11:16.766: Problem vs Technique driven work | 01:14:02.938: Visalization Analysis and Design Book | 01:14:51.966: Tamara's upcoming projects | 01:15:06.721: Overview | 01:15:27.826: What's next? | 01:17:31.208: Our sponsor | | 21 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/504/s/download/c/buttonlist/datastories-44.mp3">MP3 Audio<span class="size">72 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/502/s/download/c/buttonlist/datastories-44.m4a">MPEG-4 AAC Audio<span class="size">55 MB</span></a> </li> </ul><div style="clear: both"></div><p><a href="http://datastori.es/wp-content/uploads/2014/11/munzner-2014-headshot.jpg"><img data-attachment-id="702" data-permalink="http://datastori.es/data-stories-44/munzner-2014-headshot/" data-orig-file="http://datastori.es/wp-content/uploads/2014/11/munzner-2014-headshot.jpg" data-orig-size="2609,2936" data-comments-opened="1" data-image-meta="{"aperture":"1.7","credit":"","camera":"LEICA M (Typ 240)","caption":"","created_timestamp":"1398628799","copyright":"","focal_length":"50","iso":"800","shutter_speed":"0.016666666666667","title":"","orientation":"1"}" data-image-title="munzner-2014-headshot" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2014/11/munzner-2014-headshot-266x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2014/11/munzner-2014-headshot-909x1024.jpg" class="alignleft size-thumbnail wp-image-702" src="http://datastori.es/wp-content/uploads/2014/11/munzner-2014-headshot-150x150.jpg" alt="munzner-2014-headshot" width="150" height="150" /></a>Hi Folks! We have Prof. <a href="http://www.cs.ubc.ca/~tmm/">Tamara Munzner</a> from University of British Columbia with us in this episode. Tamara is one of the most prominent figures in visualization research. She has done tons of interesting work starting from the nineties (look into <a href="http://www.cs.ubc.ca/~tmm/papers.html">her publications page</a>) including the famous “<a href="http://www.cs.ubc.ca/labs/imager/tr/2009/NestedModel/">Nested Model of Visualization Design</a>” and her numerous design studies work, like the excellent “<a href="http://www.cs.ubc.ca/labs/imager/tr/2014/Overview/">Overview</a>,” a tool for journalistic investigative analysis. We also talk about her new book “<a href="http://www.amazon.com/Visualization-Analysis-Design-AK-Peters/dp/1466508914/">Visualization Analysis and Design</a>.” Finally a textbook teaching how to create visualization tools for analysis purposes!</p><p>Enjoy the show!</p><p>Links</p><ul><li>Tamara’s work at <a href="http://www.geom.uiuc.edu/~munzner/">the geometry center</a></li><li>Paper on <a href="http://graphics.stanford.edu/papers/visgeom/">Visualizable Geometry</a></li><li>Paper on <a href="http://www.cs.ubc.ca/labs/imager/tr/2009/NestedModel/">The Nested Model of Visualization Design</a></li><li>Paper on <a href="http://www.cs.ubc.ca/labs/imager/tr/2013/MultiLevelTaskTypology/">Task Taxonomy for Vis</a></li><li>Jacques Bertin and Jock Mackinlay’s Work on visual encoding</li><li>Paper on <a href="http://www.cs.ubc.ca/labs/imager/tr/2012/dsm/">Design Study Methodology</a></li><li>Paper on <a href="http://www.cs.ubc.ca/labs/imager/tr/2013/NBGM/">Nested Model Blocks and Guidelines</a></li><li>Paper on <a href="http://www.cs.ubc.ca/labs/imager/tr/2014/DRVisTasks/">Task Taxonomy for Dimensionality Reduction</a></li><li><a href="http://www.cs.ubc.ca/labs/imager/tr/2014/Overview/">Overview</a>: A Visualization Tool for Investigative Journalism</li><li>The book: <a href="http://www.cs.ubc.ca/~tmm/vadbook/">Visualization Analysis and Design</a><ul><li><a href="http://www.crcpress.com/product/isbn/9781466508910/toc">CRC Press Page</a></li><li><a href="http://www.cs.ubc.ca/~tmm/vadbook/figures.html">link to all the figures</a> (with CC-BY licensing)</li></ul></li></ul> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/96-innovation-from-research-with-jarke-van-wijk/">96 | Innovation from Research with Jarke Van Wijk</a> </li> </ul>"" | |||||||||||||||||||
59 | 43 | Thu, 18 Dec 2014 14:34:57 +0000 | 43 | IEEE VIS’14 | Conference | NA | NA | 1:12:23 | http://datastori.es/data-stories-43-ieee-vis14/ | http://datastori.es/podlove/file/513/s/feed/c/podcast/43.m4a | 00:00:42.000: Enrico and Moritz in the Same Room! | 00:01:22.000: What Happened on Day 1 | 00:01:45.000: What Is VIS'14? | 00:02:50.000: "Anything Except the Chart" Tutorial from Moritz and Dominikus | 00:03:50.000: Alberto Cairo's Keynote | 00:06:02.000: Tutorial on Data for the Good from Moritz | 00:08:40.000: Teaching Data Literacy | 00:10:39.000: Best Paper on Multivariate Networks | 00:12:19.000: Domino Tool to Create Multiple Aligned Visualization | 00:13:32.000: Data Stories Meetup / People recognize our voice :) | 00:14:27.000: VIS'14 Episode 2 (w/ Robert Kosara) | 00:17:35.000: Wednesdey Sessions | 00:21:05.000: Paper on iVisDesigner Tool | 00:22:30.000: Paper on Simpson's Paradox | 00:24:08.000: Paper on Effect of Latency on Interaction | 00:25:54.000: Paper on Error Bars considered harmful | 00:27:30.000: Paper on Four Experiments on Bar Charts | 00:30:48.000: Paper on Algebraic Process for Visualization Design | 00:34:08.000: Panel on Finance Vis | 00:37:35.000: Paper on Staggered Animation | 00:40:20.000: Paper on Visualizing Parallel Computation Processes | 00:41:41.000: Paper on Perceptual Kernels | 00:44:15.000: Paper on Ranking Visualizations with Weber's Law | 00:49:14.000: Paper on Measuring Visualization Literacy | 00:56:47.000: General Observations about VIS'14 | 01:01:00.000: VIS'14 Episode 3 (Wrapping-Up) | 01:02:04.000: Barbara Tversky's Capstone Talk | 01:04:20.000: More General Observations about VIS'14 | | 28 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/510/s/download/c/buttonlist/43.mp3">MP3 Audio<span class="size">66 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/513/s/download/c/buttonlist/43.m4a">MPEG-4 AAC Audio<span class="size">51 MB</span></a> </li> </ul><div style="clear: both"></div><p>It took us a while, but — here we go! A three part episode from IEEE VIS 2014.</p><p>Thanks again to <a href="http://eagereyes.org">Robert Kosara</a> for coming on our show again to talk shop, and look back on a week full of really interesting scientific findings about data visualization. The list below should make great reading for the holidays <img src="https://s.w.org/images/core/emoji/2.2.1/72x72/1f642.png" alt="🙂" class="wp-smiley" style="height: 1em; max-height: 1em;" /></p><p>A big thanks also to our sponsor <a href="http://tableausoftware.com/datastories">Tableau Software</a> who continue to support us, which we are very grateful for.</p><p>Here are some of the links we discussed:</p><p><a href="https://dominikus.github.io/webvis-tutorial/www/#/">Everything except the chart</a></p><p><a href="http://www.computer.org/csdl/trans/tg/preprint/06875972.pdf">“Multivariate Network Exploration and Presentation: From Detail to Overview via Selections and Aggregations”</a><br /><a href="http://domino.caleydo.org/ ">Domino: Extracting, Comparing, and Manipulating Subsets across Multiple Tabular Datasets</a></p><p><a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6875988&contentType=Early+Access+Articles">Revisiting Bertin matrices: New Interactions for Crafting Tabular Visualizations</a></p><p><a href="http://esripress.esri.com/display/index.cfm?fuseaction=display&websiteID=190">Semiology of graphics</a></p><p><a href="https://donghaoren.org/iVisDesigner ">iVisDesigner: Expressive Interactive Design of Information Visualizations<br /></a></p><p><a href="http://idl.cs.washington.edu/files/2014-Latency-InfoVis.pdf">The Effects of Interactive Latency on Exploratory Visual Analysis</a></p><p><a href="http://graphics.cs.wisc.edu/Papers/2014/CG14/Preprint.pdf">Error Bars Considered Harmful: Exploring Alternate Encodings for Mean and Error</a></p><p><a href="http://www.computer.org/csdl/trans/tg/preprint/06876021.pdf">Four Experiments on the Perception of Bar Charts </a></p><p><a href="http://algebraicvis.net/">An Algebraic Process for Visualization Design</a></p><p><a href="https://hal.inria.fr/hal-01054408/en">The Not-so-Staggering Effect of Staggered Animated Transitions on Visual Tracking<br /></a></p><p><a href="http://charm.cs.illinois.edu/~bhatele/pubs/pdf/2014/tvcg2014.pdf">Combing the Communication Hairball: Visualizing Large-Scale Parallel Execution Traces using Logical Time</a></p><p><a href="http://hci.stanford.edu/publications/2014/perceptualkernels/perceptualkernels-infovis2014.pdf">Perceptual Kernels</a><br />Data and source code:<br /><a href="https://GitHub.com/uwdata/perceptual-kernels">https://GitHub.com/uwdata/perceptual-kernels</a><br /><a href="https://GitHub.com/uwdata/visual-embedding">https://GitHub.com/uwdata/visual-embedding</a></p><p><a href="http://www.cs.tufts.edu/~remco/publications/2014/InfoVis2014-JND.pdf">Ranking Visualization of Correlation Using Weber’s Law</a></p><p><a href="https://hal.inria.fr/file/index/docid/1027582/filename/vLiteracy.pdf">A Principled Way of Assessing Visualization Literacy </a></p><p><a href="http://www-psych.stanford.edu/~bt/">Barbara Tversky<br /></a></p><p><a href="http://scottmccloud.com">Scott McCloud</a></p><p>Let us know your thoughts! Which study did you find most interesting?</p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/86-highlights-from-ieee-vis16-with-jessica-hullman-and-robert-kosara/">86 | Highlights from IEEE VIS'16 with Jessica Hullman and Robert Kosara</a> </li> </ul>"" | |||||||||||||||||||
60 | 42 | Fri, 14 Nov 2014 01:05:23 +0000 | 42 | Santiago Ortiz | Chat | 1 | M | 1:11:46 | http://datastori.es/ds42-santiago-ortiz/ | http://datastori.es/podlove/file/481/s/feed/c/podcast/data-stories-42-with-santiago-ortiz.m4a | 00:00:00.000: Start | 00:01:55.666: Enrico & Moritz catch up | 00:03:42.781: Santiago Ortiz | 00:08:10.183: "Not an artist" | 00:11:35.516: Lostalgic | 00:14:01.661: An iterative approach | 00:18:56.563: Beyond data visualization to data strategy | 00:21:11.495: Learning domain-specific lingo & knowledge | 00:28:31.936: Our sponsor: Tableau | 00:31:15.218: Misconceptions | 00:39:13.453: Visualization is not the primary interest | 00:42:51.163: What’s missing from visualization debates | 00:44:45.718: Documenting evaluation and actual use | 00:49:41.631: Design studies & measuring impact | 00:51:47.663: Relation between data vis and data science | 00:54:58.520: Using machine language models for understanding: decision tree | 01:02:02.131: How to learn more about data science | 01:03:16.188: Reading: Data Science for Business | 01:04:28.620: Reading: Python for Data Analysis | 01:05:02.870: Reading: Programming Collective Intelligence | 01:07:37.968: Machine language models: explantion, exploration and prediction, | 01:09:21.166: Wrap up | | 22 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/478/s/download/c/buttonlist/data-stories-42-with-santiago-ortiz.mp3">MP3 Audio<span class="size">66 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/481/s/download/c/buttonlist/data-stories-42-with-santiago-ortiz.m4a">MPEG-4 AAC Audio<span class="size">51 MB</span></a> </li> </ul><div style="clear: both"></div><p>Hey folks we have some news: Now, for the first time, Data Stories has a sponsor. <a href="www.tableausoftware.com/datastories">Tableau Software</a> will be sponsoring a number of episodes starting with this one. You will hear the specifics in the audio but this is good news for everyone. The content will not change, but we will be able to create a higher-quality show. And, by the way, we will also be able to pay a fee to our audio editors who have done a lot of free work for us so far (thanks Nathan and Fabricio!)</p><p>You can try Tableau following this link: <a href="http://www.tableausoftware.com/datastories" target="_blank">www.tableausoftware.com/<wbr />datastories</a>.</p><hr /><p> </p><p><a href="http://datastori.es/wp-content/uploads/2014/11/santiago-VL-350x350.jpg"><img data-attachment-id="696" data-permalink="http://datastori.es/ds42-santiago-ortiz/santiago-vl-350x350/" data-orig-file="http://datastori.es/wp-content/uploads/2014/11/santiago-VL-350x350.jpg" data-orig-size="350,350" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="santiago-VL-350×350" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2014/11/santiago-VL-350x350-300x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2014/11/santiago-VL-350x350.jpg" class="alignleft size-thumbnail wp-image-696" src="http://datastori.es/wp-content/uploads/2014/11/santiago-VL-350x350-150x150.jpg" alt="santiago-VL-350x350" width="150" height="150" srcset="http://datastori.es/wp-content/uploads/2014/11/santiago-VL-350x350-150x150.jpg 150w, http://datastori.es/wp-content/uploads/2014/11/santiago-VL-350x350-300x300.jpg 300w, http://datastori.es/wp-content/uploads/2014/11/santiago-VL-350x350.jpg 350w" sizes="(max-width: 150px) 100vw, 150px" /></a></p><p>Hi all, we have the great <a href="http://moebio.com/">Santiago Ortiz</a> with us again in this episode.</p><p>Santiago builds interactive data visualizations to “<em>get deep insight from data, solve real problems and answer strategic questions.”</em></p><p>If you are an avid DS follower you may recall that we had him on the show in <a href="http://datastori.es/episode-19-with-santiago-ortiz/">episode 19</a>. In this episode he comes back to talk with us about visualization and data science, how he strives to create value out of his data visualization projects and how he is *not* interested data visualization!</p><p>Enjoy the show!</p><p><strong>LINKS</strong></p><ul><li><a href="http://intuitionanalytics.com/other/lostalgic/">Lostalgic</a> – Santiago’s visualization of LOST TV show scripts</li><li>Book:<a href="http://www.amazon.com/The-Visual-Organization-Visualization-Decisions/dp/1118794389"> The Visual Organization</a> (on how vis is used in companies)</li><li><a href="http://www.cs.ubc.ca/~tmm/">Tamara Munzner</a>’s <a href="http://www.cs.ubc.ca/labs/imager/tr/2008/pitfalls/">design studies web collection</a> (see under the heading “update”)</li><li>Miriah Meyer’s <a href="http://www.cs.utah.edu/~miriah/projects/">visualization design research</a></li><li>Book: <a href="http://www.amazon.com/Data-Science-Business-data-analytic-thinking/dp/1449361323/">Data Science for Business</a></li><li>Book: <a href="http://www.amazon.com/Python-Data-Analysis-Wrangling-IPython/dp/1449319793/">Python for Data Analysis</a></li><li>Book: <a href="http://www.amazon.com/Programming-Collective-Intelligence-Building-Applications/dp/0596529325/">Programming Collective Intelligence</a></li></ul>"" | |||||||||||||||||||
61 | 41 | Sat, 18 Oct 2014 18:45:23 +0000 | 41 | With Lisa Strausfeld | Chat | 1 | F | 1:07:44 | http://datastori.es/data-stories-41-with-lisa-strausfeld/ | http://datastori.es/podlove/file/457/s/feed/c/podcast/datastories-41.m4a | 00:00:00.000: Start | 00:00:09.718: Intro: Moritz and Enrico catching up | 00:02:27.228: Lisa Strausfeld | 00:03:25.401: Background and bio | 00:07:57.708: To code or not to code? | 00:11:31.250: Scale, collaboration and code | 00:15:32.285: Architecture at Harvard | 00:16:47.811: Layout design for memory chip at Motorola | 00:20:12.311: MIT Media Lab: Visual Language Workshop & Muriel Cooper | 00:26:10.265: Perspecta | 00:27:56.250: Quokka | 00:31:44.151: Pentragram | 00:41:09.603: Bloomberg and Major League Politics | 00:48:19.228: The State by State project | 00:51:07.743: End-user metrics | 00:54:42.271: Bloomberg View | 00:58:54.438: Bloomberg Visual's black background | 01:03:16.680: Choosing stories at Bloomberg Visual | 01:06:34.041: Wrapping up | | 19 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/459/s/download/c/buttonlist/datastories-41.mp3">MP3 Audio<span class="size">62 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/457/s/download/c/buttonlist/datastories-41.m4a">MPEG-4 AAC Audio<span class="size">48 MB</span></a> </li> </ul><div style="clear: both"></div><p><a href="http://datastori.es/wp-content/uploads/2014/10/Lisa-Strausfeld.jpg"><img data-attachment-id="686" data-permalink="http://datastori.es/data-stories-41-with-lisa-strausfeld/lisa-strausfeld/" data-orig-file="http://datastori.es/wp-content/uploads/2014/10/Lisa-Strausfeld.jpg" data-orig-size="298,319" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="Lisa-Strausfeld" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2014/10/Lisa-Strausfeld-280x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2014/10/Lisa-Strausfeld.jpg" class="alignleft size-thumbnail wp-image-686" src="http://datastori.es/wp-content/uploads/2014/10/Lisa-Strausfeld-150x150.jpg" alt="Lisa-Strausfeld" width="150" height="150" /></a>Hi Folks! In this episode we have Lisa Strausfeld from Bloomberg with us.</p><p>Lisa started doing VIS very early on. In the episode she tells us about her super interesting story of how she got into VIS and all the jobs she has had: starting as a student of Art and Computer Science (yes, Art and CS!), designing chips for Motorola, and now these days working at Bloomberg Visual Data and Bloomberg View.</p><p>If you want to know more about her work you should definitely check out <a href="https://www.youtube.com/watch?v=l9pdZ4bnDsw">this video</a>, where she presents may of the visualization projects we discussed.</p><p>Enjoy the show!</p><p>Links</p><ul><li><a href="http://en.wikipedia.org/wiki/Lisa_Strausfeld">Lisa Strausfeld</a> on Wikipedia</li><li>Lisa’s <a href="https://twitter.com/strausfeld">Twitter Feed</a></li><li>LIsa’s Talk “<a href="https://www.youtube.com/watch?v=l9pdZ4bnDsw">Visualizing Data</a>”</li><li>Lisa’s Mentor <a href="http://en.wikipedia.org/wiki/Muriel_Cooper">Muriel Cooper</a></li><li><a href="http://www.inventinginteractive.com/2010/05/26/remembering-quokka/">Remembering Quokka</a></li><li><a href="http://www.pentagram.com/work/#/all/all/newest/">Pentagram</a></li><li><a href="http://www.bloomberg.com/visual-data/">Bloomberg Visual Data</a></li><li>Bloomberg <a href="http://www.bloomberg.com/visual-data/state-by-state/">State By State</a> Projects</li><li>Bloomberg <a href="http://www.bloomberg.com/billionaires/latest">Billionaires</a> Projects</li><li>Bloomberg <a href="http://www.bloomberg.com/infographics/2014-09-22/truck-accident-shatters-many-lives.html">Truck Accidents</a> Infographics</li><li><a href="http://www.bloombergview.com/">Bloomberg View</a></li></ul>"" | |||||||||||||||||||
62 | 40 | Fri, 19 Sep 2014 15:10:39 +0000 | 40 | Narrative Visualization Research w/ Jessica Hullman | Chat | 1 | F | 1:02:23 | http://datastori.es/ds40-narrative-vis-research-w-jessica-hullman/ | http://datastori.es/podlove/file/437/s/feed/c/podcast/datastories-40.m4a | 00:00:00.000: Mo and Enrico catching up | 00:01:39.943: Jessica Hullman | 00:02:40.298: Infovis researcher with a background in literature, writing | 00:07:49.561: School for Poetic Computation | 00:09:20.756: How Jessica got started in infovis research | 00:11:04.250: Perception ? Cognition? | 00:13:28.031: Visualization rhetorics | 00:17:39.971: Tacit knowledge of designers | 00:19:50.281: Are we entering a post-Tufte era? | 00:20:18.671: Benefitting InfoVis with Visual Difficulties | 00:25:37.628: Memorability | 00:27:00.443: Research on persuasion in data visualization | 00:36:00.200: Visualizing uncertainty | 00:40:25.998: NYT worldcup draws | 00:43:00.298: Statistical literacy | 00:45:05.143: Content, context and critique: commenting on a data visualization blog | 00:50:14.268: Program or be programmed? | 00:54:50.665: Future directions | | 18 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/438/s/download/c/buttonlist/datastories-40.mp3">MP3 Audio<span class="size">57 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/437/s/download/c/buttonlist/datastories-40.m4a">MPEG-4 AAC Audio<span class="size">44 MB</span></a> </li> </ul><div style="clear: both"></div><p><a href="http://datastori.es/wp-content/uploads/2014/09/jessica.jpeg"><img data-attachment-id="675" data-permalink="http://datastori.es/ds40-narrative-vis-research-w-jessica-hullman/jessica/" data-orig-file="http://datastori.es/wp-content/uploads/2014/09/jessica.jpeg" data-orig-size="350,280" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"Jay Jackson","camera":"","caption":"","created_timestamp":"0","copyright":"2012, University of Michigan Board of Regents","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"1"}" data-image-title="jessica" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2014/09/jessica-300x240.jpeg" data-large-file="http://datastori.es/wp-content/uploads/2014/09/jessica.jpeg" class="alignleft size-thumbnail wp-image-675" src="http://datastori.es/wp-content/uploads/2014/09/jessica-150x150.jpeg" alt="jessica" width="150" height="150" /></a></p><p>Hey yo! We are back!</p><p>We have a very researchy kind of episode this time. <a href="http://www-personal.umich.edu/~jhullman/">Jessica Hullman</a> is on the show to talk about her research on narrative visualization. Jessica is a Postdoctoral Fellow at Berkeley and soon to be Assistant Professor at University of Washington iSchool.</p><p>In the show we talk about lots of interesting basic visualization research issues like visualization literacy, bias and saliency, uncertainty, and some interesting automated annotation systems that Jessica has developed.</p><p>We also talk about Jessica’s background in experimental poetry!</p><p>Have fun.</p><p>—</p><p>Links</p><ul><li><a href="http://sfpc.io/">School of poetic computation</a></li><li><a href="http://en.wikipedia.org/wiki/Rudolf_Arnheim">Rudolf Arnheim</a> (Art and Visual Perception)</li><li>Zacks and Tversky’s <a href="http://aaaipress.org/Papers/Symposia/Fall/1997/FS-97-03/FS97-03-018.pdf">study on line charts and bar charts interpretation</a></li><li>Jessica’s <a href="http://www-personal.umich.edu/~jhullman/story_sequence_infovis_final.pdf">paper on the role of sequence</a> in vis (potential for order effects):</li><li>Jessica’s paper on <a href="http://misc.si.umich.edu/media/papers/difficulties_infovis.pdf">Benefitting InfoVis with Visual Difficulties</a></li><li>Stephen Few’s <a href="http://www.perceptualedge.com/articles/visual_business_intelligence/visual_difficulties.pdf">criticism of the paper</a></li><li>Paper on “<a href="http://www.seas.harvard.edu/news/2013/10/what-makes-data-visualization-memorable">What makes a data visualization memorable?</a>”</li><li>Paper on <a href="http://web.princeton.edu/sites/opplab/papers/JEPG%20Intuitive%20Correction%20Paper.pdf">how perceptually difficult stimuli help us think more analytically</a></li><li>Paper on “<a href="https://web.cs.dal.ca/~sbrooks/csci4166-6406/seminars/readings/Tversky_AnimationFacilitate_IJHCS02.pdf">Animation: Can It Facilitate?</a>” (criticising the value of animation)</li><li>Having to explain things to yourself is useful for learning (<a href="http://onlinelibrary.wiley.com/doi/10.1002/acp.1068/abstract">from graphs</a>) (<a href="http://alumni.media.mit.edu/~bsmith/courses/mas964/readings/Glaser.pdf">in general</a>)</li><li>Enrico’s paper on “<a href="http://lsr.nellco.org/cgi/viewcontent.cgi?article=1476&context=nyu_plltwp">The Persuasive Power of Visualization</a>”</li><li>Kahneman’s book “<a href="http://www.amazon.com/Thinking-Fast-Slow-Daniel-Kahneman/dp/0374533555">Thinking fast and slow</a>”</li><li>Paper on <a href="http://psycnet.apa.org/journals/xap/3/4/243/">graphs making information more visually salient</a></li><li>NYT graphics: <a href="http://www.nytimes.com/interactive/2014/06/03/upshot/world-cup-draw-simulation.html">FIFA worldcup draws</a> (representing uncertainty)</li><li>Economist’s Blog <a href="http://www.economist.com/blogs/graphicdetail">Graphic Detail</a></li><li><a href="http://misc.si.umich.edu/media/papers/vis_messaging_CHI_20130120_submit.pdf">Contextifier</a> and <a href="http://misc.si.umich.edu/media/papers/NewsViews_20140112_CR.pdf">NewsViews</a> (Jessica’s systems for generating visualizations to go with news articles)</li><li><a href="http://idl.cs.washington.edu/files/2014-Ellipsis-EuroVis.pdf">Ellipsis</a> and <a href="http://idl.cs.washington.edu/files/2014-Lyra-EuroVis.pdf">Lyra</a> (Authoring systems for narrative visualizations from <a href="http://arvindsatya.com/">Arvind Satyanarayan</a> and Jeff <a href="http://homes.cs.washington.edu/~jheer/">Hee</a>r)</li><li>Tableau <a href="http://www.tableausoftware.com/about/blog/2014/5/82-preview-tell-story-your-data-story-points-30761">Story Points</a></li></ul>"" | |||||||||||||||||||
63 | 39 | Wed, 06 Aug 2014 13:58:52 +0000 | 39 | DensityDesign w/ Paolo Ciuccarelli | Chat | 1 | M | 1:21:45 | http://datastori.es/data-stories-39-densitydesign-w-paolo-ciuccarelli/ | http://datastori.es/podlove/file/434/s/feed/c/podcast/datastories-39.m4a | 00:00:00.000: Intro | 00:01:10.703: VIS 2014 | 00:04:24.450: Special guest today – Paolo Ciuccarelli | 00:06:34.748: Architecture | 00:11:54.000: Complexity | 00:15:33.866: DensityDesign | 00:22:32.666: How the lab works | 00:26:19.388: Fashion, jewelry, objects, spaces | 00:29:08.060: How the lab works pt.2 | 00:32:11.006: Style consistency and the lab portfolio | 00:36:19.478: On design education | 00:44:58.110: "Do no harm" | 00:48:46.596: MOOCs? | 00:50:48.798: Rules, form and function and | 00:59:10.456: The janitor drops by | 00:59:53.061: Form and function ctd. | 01:01:54.900: Digital humanities | 01:06:40.436: RAW | 01:13:45.685: Business model for chartmaking tools? | 01:19:59.798: Wrapping it up | | 20 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/435/s/download/c/buttonlist/datastories-39.mp3">MP3 Audio<span class="size">75 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/434/s/download/c/buttonlist/datastories-39.m4a">MPEG-4 AAC Audio<span class="size">58 MB</span></a> </li> </ul><div style="clear: both"></div><p>Hi there!</p><p>We have been chasing <a href="http://www.densitydesign.org/person/paolo-ciuccarelli/">Paolo</a> for a while and eventually we managed to have him on the show. Paolo is <span style="color: #000000;">Associate Professor at Politecnico di Milano and he is the founder of <a href="http://www.densitydesign.org">Density Design</a>, a lab with an interesting mix of research, design and visualization.</span></p><p>With Paolo we talk about all things at the intersection of design and visualization, including a very interesting digression on architecture and how it helped him in the development of the lab. We also talk about how to teach design and the role of Visualization in the Humanities.</p><p>We also talk about <a href="http://raw.densitydesign.org">Raw</a>, an online visualization tool they developed which has recently gained quite some popularity (if you don’t know it you should try it).</p><p>Enjoy the show!</p><p>—</p><p>Links</p><ul><li><a href="http://personalpages.manchester.ac.uk/staff/m.dodge/cybergeography/">Cyber-Geography Maps</a> (early inspiration)</li><li>Density Design <a href="https://www.flickr.com/photos/densitydesign/">Flicker Stream</a></li><li>Density Design <a href="http://www.densitydesign.org/blog/">Blog</a></li><li><a href="http://www.dubberly.com/wp-content/uploads/2008/06/ddo_designprocess.pdf">99 Models of Design Processes</a></li><li><a href="http://republicofletters.stanford.edu/">Mapping the Republic of Letters</a> (and this: <a href="http://athanasius.stanford.edu/">http://athanasius.stanford.edu/</a>)</li><li><a href="http://hdlab.stanford.edu/people/">Franco Moretti’s Distant Readings and Giorgio Caviglia</a> (and the “incorporation” of design into humanities)</li><li><a href="http://www.densitydesign.org/research/fineo/">Fineo</a> (Sankey Diagrams Tool)</li></ul> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/79-information-design-with-isabel-meirelles/">79 | Information Design with Isabel Meirelles</a> </li> <li> <a href="http://datastori.es/91-visualizing-data-with-raw/">91 | Visualizing Data with RAW</a> </li> </ul>"" | |||||||||||||||||||
64 | 38 | Wed, 02 Jul 2014 13:37:03 +0000 | 38 | Visual Complexity w/ Manuel Lima | Chat | 1 | M | 1:08:58 | http://datastori.es/data-stories-38-visual-complexity-w-manuel-lima/ | http://datastori.es/podlove/file/425/s/feed/c/podcast/datastories-38.m4a | 00:00:00.000: Start | 00:02:15.508: Who is Manuel Lima | 00:07:53.773: Blogviz | 00:09:06.658: Fascination with networks: Visual Complexity | 00:16:21.525: Dead links & the loss of archival material | 00:17:25.601: Ecotonoha | 00:18:37.306: Linked by Albert-Laszlo Barbarasi | 00:19:24.148: Emergence by Steven Johnson | 00:20:10.155: Visual Simplexity | 00:21:50.858: The "Digital Dark Ages" | 00:23:12.953: Visual Complexity: Conceptualization | 00:25:25.288: Visual Complexity: How it was written | 00:28:10.508: Visual Complexity: From trees to networks | 00:29:50.128: Visual Complexity: A taxonomy of visualiztion | 00:30:41.133: Visual Complexity: Reviews | 00:31:53.086: Visual Complexity: New audiences | 00:33:37.223: Book of Trees | 00:40:37.718: Visualization for communication & insight | 00:42:21.483: Finding historical examples | 00:47:07.321: Trends in infovis | 00:52:00.981: Recycling visual metaphores | 00:57:32.838: Lima's UX design work | 00:59:20.641: UI, UX & data visualization | 01:04:48.321: Wrap up | | 24 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/427/s/download/c/buttonlist/datastories-38.mp3">MP3 Audio<span class="size">63 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/425/s/download/c/buttonlist/datastories-38.m4a">MPEG-4 AAC Audio<span class="size">49 MB</span></a> </li> </ul><div style="clear: both"></div><p>Hi all,</p><p>Finally, after chasing him for a long while we have Manuel Lima on the show! Manuel has been around for a very long time. He created Visual Complexity in 2005, an archive of network visualizations which became very popular. He is also the author of two great books: Visual Complexity and The Book of Trees. In the show we talk about archiving visualizations, how to write and publish visualization books and how the whole field had developed and where it is heading. Great great show!</p><p>Take care.</p><p>Links</p><ul><li>Manuel’s master thesis at Parson’s: <a href="http://www.blogviz.com/blogviz/">BlogViz</a></li><li><a href="http://www.visualcomplexity.com/vc/book/">Visual Compl</a><a href="http://www.visualcomplexity.com/vc/book/">exity</a> (Book)</li><li><a href="http://visualcomplexity.com">Visual Complexity</a> (Website)</li><li><a href="http://www.bookoftrees.info/bt/">The Book of Trees</a></li><li><a href="http://www.visualcomplexity.com/vc/blog/?p=644">Information Visualization Manifesto</a> (check the comments section!)</li><li>Manuel’s Current Employer: <a href="http://codeacademy.com">Code Academy</a></li><li><a href="http://infosthetics.com">Infosthetics</a> Blog</li><li>Barabasi’s Linked: <a href="http://barabasilab.com/LinkedBook/">http://barabasilab.com/LinkedBook/</a></li><li>Johnson’s <a href="http://www.amazon.com/Emergence-Connected-Brains-Cities-Software/dp/0684868768">Emergence</a></li><li><a href="http://www.amazon.de/Visual-Simplexity-Darstellung-großer-Datenmengen/dp/3868020993">Visual Simplexity</a> (Book)</li><li>The <a href="http://www.allosphere.ucsb.edu">Allosphere</a> Display</li></ul><p>And once again, thanks to our audio editor Nathan Griffiths (<a title="twitter.com/njgriffiths" href="https://twitter.com/njgriffiths">twitter.com/njgriffiths</a>) for taking care of this episode!</p>"" | |||||||||||||||||||
65 | 37 | Wed, 25 Jun 2014 20:16:55 +0000 | 37 | The Challenge of Teaching Visualization w/ Scott Murray and Andy Kirk | Chat | 1 | M | 1:11:06 | http://datastori.es/ds37-teaching-visualization-w-scott-murray-and-andy-kirk/ | http://datastori.es/podlove/file/416/s/feed/c/podcast/datastories-37.m4a | 00:00:00.000: Start | 00:00:22.000: Intro | 00:01:04.000: Data Cuisine | 00:05:44.813: Intro to Scott Murray | 00:06:58.395: Scott's d3.js book | 00:08:13.123: Scott's video lectures | 00:09:36.901: Intro to Andy Kirk | 00:17:45.471: What are the challenges | 00:30:03.368: Theory vs. Practice | 00:32:35.526: Teaching approaches | 00:36:51.250: Aggregation twitch | 00:40:41.228: Visual vocabulary | 00:43:32.943: Dataviz exercises | 00:45:14.686: Forensic design analysis | 00:46:54.931: 45 ways to communicate two quantities | 00:48:46.410: Use personal data | 00:51:37.181: Pintrest for data | 00:58:54.338: How to keep learning | 01:02:27.221: How hard is it to get recognized? | 01:06:19.818: Questions from Twitter | | 20 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/417/s/download/c/buttonlist/datastories-37.mp3">MP3 Audio<span class="size">65 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/416/s/download/c/buttonlist/datastories-37.m4a">MPEG-4 AAC Audio<span class="size">50 MB</span></a> </li> </ul><div style="clear: both"></div><p>That’s a particularly tough but juicy episode folks! We turn a little bit inward and talk about the many challenges of teaching visualization.</p><p>We have code artist <a href="http://alignedleft.com/">Scott Murray</a> on the show, the author of the lovely D3 book “<a href="http://chimera.labs.oreilly.com/books/1230000000345/">Interactive Data Visualization for the Web</a>” and our almost-cohost ever-present <a href="http://www.visualisingdata.com/index.php/about/">Andy Kirk</a> with us from <a href="http://www.visualisingdata.com/">visualisingdata.com</a>.</p><p>Scott teaches visualization courses at Department of Art and Architecture University of San Francisco and Andy teaches some very popular 1-day workshop courses all around the world.</p><p>We talk about our experience with teaching visualization, reporting about what seems to work and what does not. I think we mostly report about our constant struggle to make things work <img src="https://s.w.org/images/core/emoji/2.2.1/72x72/1f642.png" alt="🙂" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Hopefully this is going to be of help and fun for you guys!</p><p>And once again, thanks to our audio editor Nathan Griffiths (<a title="twitter.com/njgriffiths" href="https://twitter.com/njgriffiths">twitter.com/njgriffiths</a>) for taking care of this episode!</p><p>Links</p><ul><li>Santiago Ortiz’s: <a href="http://blog.visual.ly/45-ways-to-communicate-two-quantities/">45 ways to communicate two quantities</a></li><li>John Swabisch’s <a href="http://helpmeviz.com/">HelpMeViz</a> (to teach by good/bad examples)</li><li>Scott’s <a href="http://alignedleft.com/projects/2014/easy-as-pi/">Easy as Pi</a></li></ul> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/79-information-design-with-isabel-meirelles/">79 | Information Design with Isabel Meirelles</a> </li> </ul>"" | |||||||||||||||||||
66 | 36 | Fri, 23 May 2014 18:43:47 +0000 | 36 | Data Art w/ Jer Thorp | Chat | 1 | M | 1:17:23 | http://datastori.es/data-art-w-jer-thorp/ | http://datastori.es/podlove/file/397/s/feed/c/podcast/datastories-36.m4a | 00:00:00.000: Start | 00:00:22.000: Intro | 00:01:22.000: Enrico and Moritz catching up | 00:02:35.011: IEEE 2014 | 00:03:02.000: IEEE Arts Program | 00:03:42.000: Our guest: Jer Thorp | 00:04:30.576: Intro to Jer | 00:06:09.513: What is data art? | 00:08:36.291: How do you teach data art? | 00:18:35.341: ITP: Data art course | 00:19:31.006: Teaching students visualization tools? | 00:23:03.055: Office for Creative Research | 00:24:40.881: NYT projects: Cascade & The Shakespeare Machine | 00:28:20.546: Data art vs data science | 00:30:36.341: Visualization as a Process | 00:37:02.116: O.C.R. Process tumblr | 00:41:08.000: Is there a market for digital art? | 00:46:13.000: Data performance | 00:54:18.910: Hans Rosling Gapminder | 00:55:06.553: Artificial distinctions vs collaborations | 01:00:51.451: Data is not a thing | 01:10:59.860: Eyeo festival | 01:11:32.520: Deep Sea Diving | | 23 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/396/s/download/c/buttonlist/datastories-36.mp3">MP3 Audio<span class="size">71 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/397/s/download/c/buttonlist/datastories-36.m4a">MPEG-4 AAC Audio<span class="size">55 MB</span></a> </li> </ul><div style="clear: both"></div><p><a href="http://datastori.es/wp-content/uploads/2014/05/jer-thorp-1.jpeg"><img data-attachment-id="643" data-permalink="http://datastori.es/jer-thorp-1/" data-orig-file="http://datastori.es/wp-content/uploads/2014/05/jer-thorp-1.jpeg" data-orig-size="736,415" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":""}" data-image-title="jer-thorp-1" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2014/05/jer-thorp-1-300x169.jpeg" data-large-file="http://datastori.es/wp-content/uploads/2014/05/jer-thorp-1.jpeg" class="alignleft size-medium wp-image-643" src="http://datastori.es/wp-content/uploads/2014/05/jer-thorp-1-300x169.jpeg" alt="jer-thorp-1" width="300" height="169" srcset="http://datastori.es/wp-content/uploads/2014/05/jer-thorp-1-300x169.jpeg 300w, http://datastori.es/wp-content/uploads/2014/05/jer-thorp-1-500x281.jpeg 500w, http://datastori.es/wp-content/uploads/2014/05/jer-thorp-1.jpeg 736w" sizes="(max-width: 300px) 100vw, 300px" /></a></p><p>Hey yo … super cool guest today on Data Stories. We have data artist <a href="http://blog.blprnt.com/">Jer Thorp</a> for a whole episode on Data Art and Visualization. We managed to catch him before he leaves for a deep dive in a submarine next week.</p><p>Jer is former artist in residence at <a href="http://nytlabs.com/">New York Times R&D Labs</a> and now he is the co-founder of the <a href="http://o-c-r.org/">Office For Creative Research</a>, a studio/lab that mixes science and art. Among many other things he is the creator of <a href="http://o-c-r.org/portfolio/911-memorial-algorithm/">the algorithm and software tool</a> “to aid in the placement of the nearly 3,000 names on the 9/11 Memorial in Manhattan” and <a href="http://nytlabs.com/projects/cascade.html">Cascade</a>, a tool to visualize “the sharing activity of New York Times content over social networks.”</p><p>In this episode we talk about his past and new projects, teaching art and vis and the many intersections between art and science.</p><p>[Big thanks to <a href="https://twitter.com/njgriffiths">Nathan Griffiths</a> for audio-editing the episode!]</p><p>Links</p><ul><li>The <a href="http://visap2014.sista.arizona.edu/">IEEE VIS’14 Art Program</a> (that’s going to be in Paris)</li><li><a href="https://github.com/blprnt/dataart">NYU ITP Data Art Course</a></li><li><a href="http://nytlabs.com/projects/cascade.html">Cascade</a> (vis of NYT sharing activity)</li><li>Shakespeare Machine (<a href="http://earstudio.com/2012/09/04/how-to-make-a-shakespeare-machine/">earstudio</a> | <a href="https://vimeo.com/54858820">video on vimeo</a>)</li><li>Jer’s HBR article on “<a href="http://blogs.hbr.org/2013/04/visualization-as-process/">Visualization as Process, Not Output</a>“</li><li>Collection of <a href="http://ocrprocess.tumblr.com/">vis development process images</a> from OCR</li><li>Example of Data Performance: <a href="https://vimeo.com/88271704">Thousands of Exhausted Things</a> (OCResearch and The Elevator Repair Service)</li><li>Hans Rosling’s TED Talk “<a href="http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen">The Best Stats You’ve Ever Seen</a>“</li><li><a href="http://eyeofestival.com/">Eyeo Festival</a></li></ul>"" | |||||||||||||||||||
67 | 35 | Wed, 16 Apr 2014 14:00:24 +0000 | 35 | Visual Storytelling w/ Alberto Cairo and Robert Kosara | Chat | 2 | M | 1:18:23 | http://datastori.es/data-stories-35-visual-storytelling-w-alberto-cairo-and-robert-kosara/ | http://datastori.es/podlove/file/372/s/feed/c/podcast/datastories-35.m4a | 00:00:00.000: Intro | 00:02:32.555: Our guests: Alberto Cairo and Robert Kosara | 00:03:21.084: What is a story in data visualization? | 00:06:05.574: Alberto's article | 00:08:51.644: Potential meaning | 00:11:13.935: Book: "The unpersuadables" | 00:11:47.001: Patternicity | 00:12:18.023: Sequence + Drama = Story? | 00:13:41.057: Objectivity vs Subjectivity | 00:16:06.507: Dramatization | 00:17:40.873: Story as guiding line, provides embedding context for data, establishing argument structures | 00:20:50.905: Visualization for different types of audience | 00:22:32.515: Software performances | 00:27:34.746: Not every visualization needs to tell a story | 00:32:36.048: Software performance (Gapminder) | 00:33:33.820: Vis as experience | 00:36:21.932: Sequence, annotation, context | 00:36:58.527: "So what?" — relevance | 00:40:54.813: "So what?" | 00:44:04.474: Book: “Statistics as principal argument” | 00:47:32.710: Vis as experience | 00:51:23.609: Cognitive aspects | 00:54:49.060: Narrative nature of memory | 00:58:00.021: You cannot not tell a story? | 01:00:36.987: Annotation - Narration - Story | 01:10:15.257: Proliferation of the term | 01:17:25.755: Wrapping it up | | 27 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/375/s/download/c/buttonlist/datastories-35.mp3">MP3 Audio<span class="size">72 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/372/s/download/c/buttonlist/datastories-35.m4a">MPEG-4 AAC Audio<span class="size">55 MB</span></a> </li> </ul><div style="clear: both"></div><p><a href="http://datastori.es/wp-content/uploads/2014/04/datastories-fun-storytelling.png"><img data-attachment-id="630" data-permalink="http://datastori.es/data-stories-35-visual-storytelling-w-alberto-cairo-and-robert-kosara/datastories-fun-storytelling/" data-orig-file="http://datastori.es/wp-content/uploads/2014/04/datastories-fun-storytelling.png" data-orig-size="1504,746" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":""}" data-image-title="datastories fun storytelling" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2014/04/datastories-fun-storytelling-300x148.png" data-large-file="http://datastori.es/wp-content/uploads/2014/04/datastories-fun-storytelling-1024x507.png" class="alignleft size-large wp-image-630" src="http://datastori.es/wp-content/uploads/2014/04/datastories-fun-storytelling-1024x507.png" alt="datastories fun storytelling" width="584" height="289" srcset="http://datastori.es/wp-content/uploads/2014/04/datastories-fun-storytelling-1024x507.png 1024w, http://datastori.es/wp-content/uploads/2014/04/datastories-fun-storytelling-300x148.png 300w, http://datastori.es/wp-content/uploads/2014/04/datastories-fun-storytelling-500x248.png 500w, http://datastori.es/wp-content/uploads/2014/04/datastories-fun-storytelling.png 1504w" sizes="(max-width: 584px) 100vw, 584px" /></a></p><p>Hi all,</p><p>Hot topic today! We invited Alberto Cairo and Robert Kosara to discuss the role of storytelling in visualization. What is storytelling? Is all visualization storytelling? Should we always strive for telling a story? How does storytelling match with exploratory visualization? Should we aim more for <em>worlds</em> and <em>macroscopes</em> than stories as Moritz advocated a while back at Visualized? We went on a somewhat lengthy discussion on these topics and I think we all ended up agreeing on a lot of things and developed a much more nuanced view of storytelling. As you can see from the picture we had lots of fun (thanks Robert for taking the screenshot). Fantastic chat!</p><p>Note: Alberto had a lot more to say after the episode so he decided to publish a <a href="http://www.thefunctionalart.com/2014/04/annotation-narrative-and-storytelling.html">follow up post</a> that clarifies some of the things he said on the show. But — <span style="color: #ff0000;">spoiler alert</span> — listen to the episode first! <img src="https://s.w.org/images/core/emoji/2.2.1/72x72/1f642.png" alt="🙂" class="wp-smiley" style="height: 1em; max-height: 1em;" /></p><p>P.S. Big, big thanks to <a href="https://twitter.com/fabriciotav">Fabricio Tavares</a> for taking care of the audio editing of this episode!</p><p>—</p><p>Links</p><ul><li>Lynn Cherny on <a href="http://blogger.ghostweather.com/2014/03/implied-stories-and-data-vis.html">Implied Stories (and Data Vis)</a></li><li>Periscopic’s Dino Citraro on <a href="http://www.periscopic.com/#/news/2014/03/a-framework-for-talking-about-data-narration/">A Framework for Talking About Data Narration</a></li><li>Book cited by Alberto: <a href="http://www.amazon.com/Unpersuadables-Adventures-Enemies-Science/dp/1468308181/">The Unpersuadables: Adventures with the Enemies of Science</a></li><li>Great visualizations without stories (proposed by Moritz):<ul><li>Aron Koblin’s <a href="http://www.aaronkoblin.com/work/flightpatterns/">Flight Patterns</a></li><li>Martin Wattenberg’s <a href="http://www.bewitched.com/marketmap.html">Map of the Market</a></li></ul></li><li>Moritz position on stories: <a href="http://well-formed-data.net/archives/868/look-ma-no-story">Look ma, no story!</a> | <a href="http://well-formed-data.net/archives/1027/worlds-not-stories">Worlds, not stories</a></li><li>Enrico’s position on stories: <a href="http://fellinlovewithdata.com/reflections/telling-stories">Telling a story doesn’t tell the whole story</a></li><li>Robert series on storytelling: <a href="http://eagereyes.org/blog/2014/stories-are-gateways-into-worlds">Stories Are Gateways Into Worlds</a> | <a href="http://eagereyes.org/blog/2014/story-a-definition">Story: A Definition</a></li><li>Robert’s mention of visualization on <a href="http://www.nytimes.com/interactive/2009/12/05/world/climate-graphic-background.html?src=tp&_r=0">Copenhagen: Emissions, Treaties and Impacts</a></li><li>Jessica Hallman’s VIS’13 paper on: <a href="http://research.microsoft.com/en-us/um/redmond/groups/cue/publications/TVCG2013-StorySequence.pdf">Deeper Understanding of Sequence in Visualization</a></li></ul> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/94-uncertainty-and-trumpery-with-alberto-cairo/">94 | Uncertainty and Trumpery with Alberto Cairo</a> </li> </ul>"" | |||||||||||||||||||
68 | 34 | Mon, 24 Mar 2014 14:55:57 +0000 | 34 | Data journalism w/ Simon Rogers | Chat | 1 | M | 0:48:48 | http://datastori.es/data-stories-34-data-journalism-w-simon-rogers/ | http://datastori.es/podlove/file/353/s/feed/c/podcast/datastories-e34.m4a | 00:00:00.000: Intro | 00:00:46.046: Enrico's blog posts | 00:01:39.000: IC14 conference | 00:03:53.250: Our guest: Simon Rogers | 00:05:03.666: Guardian datablog | 00:08:48.631: David McCandless | 00:14:29.381: The encounter of Gregor & Moritz with Simon, on colors | 00:16:17.840: CartoDB | 00:17:29.991: Datawrapper | 00:18:51.991: Visual Insights team | 00:19:12.653: Visual Insights team | 00:21:54.475: Role as Data Editor | 00:23:54.923: Work with the analytics team | 00:29:29.666: Twitter vs. mainstream media | 00:29:59.376: Reading the Riots | 00:31:31.643: "Infosnacks" vs long-form | 00:33:39.666: Data journalism as punk | 00:35:44.483: "Doing it wrong" | 00:39:47.015: Simplicity vs complexity | 00:43:29.666: Is there boring data? | 00:46:07.923: Kids books coming up! | 00:46:28.775: Kids books coming up! | 00:46:45.040: Kids books coming up! | 00:47:35.000: Wrap up | | 24 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/355/s/download/c/buttonlist/datastories-e34.mp3">MP3 Audio<span class="size">45 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/353/s/download/c/buttonlist/datastories-e34.m4a">MPEG-4 AAC Audio<span class="size">35 MB</span></a> </li> </ul><div style="clear: both"></div><p>[Thanks to our audio editor Nathan Griffiths (<a title="twitter.com/njgriffiths" href="https://twitter.com/njgriffiths">twitter.com/njgriffiths</a>) for taking care of this episode]</p><p>Hi everyone!</p><p>After a long while … we have a real British voice on the show again! In this episode we have the pleasure to host data journalist <a href="http://simonrogers.net/">Simon Rogers</a>.</p><p>Simon has been leading data journalism initiatives at The Guardian for many years and he recently moved to Twitter (with the official role of Data Editor) where he takes care of creating visual stories out of Twitter data.</p><p>In the show we talk about his past experience at The Guardian as well as the more recent and exciting developments at Twitter.</p><p>Links</p><ul><li>The <a href="http://www.theguardian.com/news/datablog/2012/apr/13/mapping-colours-open-journalism-storify">debate</a> of Gregor & Moritz with Simon on colors (and Simon pissed off by it :))</li><li>Creative tools: <a href="http://cartodb.com/">CartoDB</a> and D<a href="https://datawrapper.de/">ataWrapper</a></li><li><a href="https://blog.twitter.com/tags/twitter-data?blog=company">Twitter Data Blog</a> (where new projects are announced)</li><li><a href="http://twitter.github.io/interactive/">Overview page of Twitter visualizations</a></li><li>Simon’s post: <a href="http://www.theguardian.com/news/datablog/2012/may/24/data-journalism-punk">Data Journalism as Punk</a> [very interesting concept!]</li><li>Simon’s infographics kid books: <a href="http://www.amazon.com/Information-Graphics-Kingdom-Simon-Rogers/dp/0763671223/">Animal Kingdom</a> and <a href="http://www.amazon.com/Infographics-Human-Body-Simon-Rogers/dp/1848776551/">Human Body</a></li></ul><p> </p>"" | |||||||||||||||||||
69 | 33 | Mon, 03 Mar 2014 18:44:27 +0000 | 33 | HelpMeViz w/ Jon Schwabish | Chat | 1 | M | 1:01:43 | http://datastori.es/data-stories-33-helpmeviz-w-jon-schwabish/ | http://datastori.es/podlove/file/333/s/feed/c/podcast/datastories-33.m4a | 00:00:00.000: Enrico and Moritz catching up | 00:03:56.177: Listener feedback | 00:05:37.038: Our guest: Jon Schwabish | 00:11:31.172: PolicyViz | 00:18:15.473: What are the things people ask for in training, improving graphics? | 00:21:25.576: Slideshow effect | 00:29:29.549: HelpMeViz | 00:33:14.769: How it is used | 00:36:29.758: Improvements | 00:37:55.766: Vis with context | 00:39:38.409: Free labor | 00:43:04.487: Debate culture | 00:45:44.359: What's next? | 00:51:16.777: Favorite posts | 00:53:56.781: More case studies | 00:55:57.708: Wrapping it up | | 16 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/334/s/download/c/buttonlist/datastories-33.mp3">MP3 Audio<span class="size">57 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/333/s/download/c/buttonlist/datastories-33.m4a">MPEG-4 AAC Audio<span class="size">44 MB</span></a> </li> </ul><div style="clear: both"></div><p><a href="http://datastori.es/wp-content/uploads/2014/03/jon-schwabish.jpeg"><img data-attachment-id="606" data-permalink="http://datastori.es/data-stories-33-helpmeviz-w-jon-schwabish/jon-schwabish/" data-orig-file="http://datastori.es/wp-content/uploads/2014/03/jon-schwabish.jpeg" data-orig-size="204,204" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":""}" data-image-title="jon-schwabish" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2014/03/jon-schwabish.jpeg" data-large-file="http://datastori.es/wp-content/uploads/2014/03/jon-schwabish.jpeg" class="alignleft size-thumbnail wp-image-606" alt="jon-schwabish" src="http://datastori.es/wp-content/uploads/2014/03/jon-schwabish-150x150.jpeg" width="150" height="150" srcset="http://datastori.es/wp-content/uploads/2014/03/jon-schwabish-150x150.jpeg 150w, http://datastori.es/wp-content/uploads/2014/03/jon-schwabish.jpeg 204w" sizes="(max-width: 150px) 100vw, 150px" /></a>Hi Everyone! We have Jon Schwabish on the show in this episode. Jon is an economist who specializes in data visualization for politics and economics. You can see some of his work in the blog he writes called <a href="http://policyviz.com/">Policyviz</a>.</p><p>We invited him to talk about his recent new initiative called <a href="http://helpmeviz.com/">HelpMeViz</a>, a web site where people can send requests to visualize some data of interest or redesign some particularly tricky charts. The web site quickly gained some momentum and already publishes quite a nice set of charts, suggested redesigns, and most of all very insightful discussions (it’s not just the usual I like this, I like that). There is a lot to learn there.</p><p>In the interview we talk about how <a href="http://helpmeviz.com/">HelpMeViz</a> was born, how it works, what kind of entries they have been published so far and how it’s going to evolve. Give a look to <a href="http://helpmeviz.com/">HelpMeViz</a> and submit your own charts and data there!</p><p>Links</p><ul><li><a href="http://helpmeviz.com/howitworks/">How HelpMeViz works</a> …</li><li>Jon’s “<a href="http://pubs.aeaweb.org/doi/pdfplus/10.1257/jep.28.1.209">An Economist’s Guide to Visualizing Data</a>” (full of very nice examples of chart redesign)</li><li>Interesting discussions from HelpMeViz:<ul><li><a href="http://helpmeviz.com/2014/01/14/budget-pie-chart-triplet/">Budget Pie Chart Triplet</a></li><li><a href="http://helpmeviz.com/2013/12/17/state-migration-flows/">State Migration Flows</a></li><li><a href="http://helpmeviz.com/2014/02/18/trying-to-excel-at-excel/">Debate About Colors</a></li></ul></li></ul><p>—</p><p>And here’s another piece of great news: For the first time, this episode was audio edited and annotated by a volunteer helper – woo! <a href="http://fabriciotav.org/about.html">Fabricio Tavares</a> was kind to help us. Thanks a million! The equation is simple: less audio editing work for Moritz means more episodes we can do in a year. <a href="mailto:mail@datastori.es">Get in touch</a> in case you would like help us, too!</p>"" | |||||||||||||||||||
70 | 32 | Tue, 18 Feb 2014 03:48:47 +0000 | 32 | High Density Infographics and Data Drawing w/ Giorgia Lupi | Chat | 1 | F | 0:57:57 | http://datastori.es/ds-32-giorgia-lupi/ | http://datastori.es/podlove/file/326/s/feed/c/podcast/datastories-32.m4a | 00:00:00.000: Moritz and Enrico actually in the same room - first time on datastories! | 00:01:04.753: Listener feedback | 00:04:19.311: Our guest: Giorgia Lupi from Accurat | 00:08:03.228: Some background on the company | 00:15:27.006: Aesthetic or other differences between Europe and New York? | 00:18:22.061: How the studio organizes the work | 00:24:27.228: Design process | 00:32:52.651: What to show the clients, and when? | 00:36:14.653: "All in Illustrator" | 00:40:18.768: Exploratory, experimental graphics for the masses? | 00:46:06.476: Role of text and annotations | 00:49:35.403: Brainpickings | 00:52:12.950: Dream client or project? | | 13 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/327/s/download/c/buttonlist/datastories-32.mp3">MP3 Audio<span class="size">53 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/326/s/download/c/buttonlist/datastories-32.m4a">MPEG-4 AAC Audio<span class="size">41 MB</span></a> </li> </ul><div style="clear: both"></div><p><a href="http://datastori.es/wp-content/uploads/2014/02/Giorgia-Lupi.jpg"><img data-attachment-id="597" data-permalink="http://datastori.es/ds-32-giorgia-lupi/giorgia-lupi/" data-orig-file="http://datastori.es/wp-content/uploads/2014/02/Giorgia-Lupi.jpg" data-orig-size="600,600" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":""}" data-image-title="Giorgia-Lupi" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2014/02/Giorgia-Lupi-300x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2014/02/Giorgia-Lupi.jpg" class="alignleft size-thumbnail wp-image-597" src="http://datastori.es/wp-content/uploads/2014/02/Giorgia-Lupi-150x150.jpg" alt="Giorgia-Lupi" width="150" height="150" srcset="http://datastori.es/wp-content/uploads/2014/02/Giorgia-Lupi-150x150.jpg 150w, http://datastori.es/wp-content/uploads/2014/02/Giorgia-Lupi-300x300.jpg 300w, http://datastori.es/wp-content/uploads/2014/02/Giorgia-Lupi.jpg 600w" sizes="(max-width: 150px) 100vw, 150px" /></a></p><p>Hi folks,</p><p>We have <a href="http://giorgialupi.net/">Giorgia Lupi</a> from <a href="http://www.accurat.it/">Accurat</a> on the show with us this time in our first real face-to-face episode ever — yes Moritz and Enrico in the same room!</p><p>Giorgia’s work, and generally the work done by her agency, has been super popular lately. You might have seen, for instance, their work <a href="http://www.brainpickings.org/index.php/2012/11/29/giorgia-lupi-noble-prizes-visualization/">visualizing Nobel Prizes</a> or <a href="http://www.brainpickings.org/index.php/2013/06/07/painters-lives-accurat-giorgia-lupi/">visualizing painters’ lives</a>.</p><p>Giorgia kindly hosted us in the Accurat’s studio in New York where we had a nice chat on hand-crafted visualization, high-density designs, design studios, and much much more.</p><p>Here is us arguing even before starting the recording <img src="https://s.w.org/images/core/emoji/2.2.1/72x72/1f642.png" alt="🙂" class="wp-smiley" style="height: 1em; max-height: 1em;" /></p><p><a href="http://datastori.es/wp-content/uploads/2014/02/IMG_5784.jpg"><img data-attachment-id="598" data-permalink="http://datastori.es/ds-32-giorgia-lupi/img_5784/" data-orig-file="http://datastori.es/wp-content/uploads/2014/02/IMG_5784.jpg" data-orig-size="3264,2448" data-comments-opened="1" data-image-meta="{"aperture":"2.4","credit":"","camera":"iPhone 4S","caption":"","created_timestamp":"1391509496","copyright":"","focal_length":"4.28","iso":"320","shutter_speed":"0.05","title":""}" data-image-title="IMG_5784" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2014/02/IMG_5784-300x225.jpg" data-large-file="http://datastori.es/wp-content/uploads/2014/02/IMG_5784-1024x768.jpg" class="alignleft size-large wp-image-598" src="http://datastori.es/wp-content/uploads/2014/02/IMG_5784-1024x768.jpg" alt="IMG_5784" width="584" height="438" srcset="http://datastori.es/wp-content/uploads/2014/02/IMG_5784-1024x768.jpg 1024w, http://datastori.es/wp-content/uploads/2014/02/IMG_5784-300x225.jpg 300w, http://datastori.es/wp-content/uploads/2014/02/IMG_5784-400x300.jpg 400w" sizes="(max-width: 584px) 100vw, 584px" /></a></p><p> </p><p>Enjoy the show!</p><p>—</p><p>Links</p><ul><li><a href="http://www.brainpickings.org/index.php/2013/12/16/writers-wakeup-times-literary-productivity-visualization/">Famous Writers’ Sleep Habits vs. Literary Productivity, Visualized</a></li><li><a href="http://www.flickr.com/photos/accurat/">Accurat’s Flickr data stream</a></li><li><a href="https://www.behance.net/gallery/Next-Atlas/14152411">Accurat’s fashion analytics tool</a></li><li><a href="http://www.pinterest.com/giorgialupi/sketches/">Giorgia’s sketches on Pinterest</a></li><li>Research paper on the benefit of visual difficulties: “Hullman, Jessica, Eytan Adar, and Priti Shah. “<a href="http://www.google.com/url?q=http%3A%2F%2Fwww-personal.umich.edu%2F~jhullman%2Fhullman_adar_shah_infovis11.pdf&sa=D&sntz=1&usg=AFQjCNGvHVXEB9BGj7UF8dnN7wwH5iYDOg">Benefitting InfoVis with visual difficulties.</a>” Visualization and Computer Graphics, IEEE Transactions on 17.12 (2011): 2213-2222.”</li></ul> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/93-oddityviz-with-valentina-defilippo-and-miriam-quick/">93 | OddityViz with Valentina D’Efilippo and Miriam Quick</a> </li> </ul>"" | |||||||||||||||||||
71 | 31 | Fri, 24 Jan 2014 22:58:14 +0000 | 31 | Review, preview w/ Robert Kosara and Andy Kirk | Year Review | 2 | M | 1:19:28 | http://datastori.es/ds31-year-review-w-andy-kirk-and-robert-kosara/ | http://datastori.es/podlove/file/317/s/feed/c/podcast/datastories-31.m4a | 00:00:00.000: Everything's much snappier in 2014 | 00:02:47.311: Welcome our guests: Andy Kirk and Robert Kosara | 00:04:37.833: Periscopic's gun murders project | 00:07:49.616: New narratives | 00:10:25.333: Snow Fall | 00:12:56.833: Trends from data journalism | 00:19:40.633: Data visualization growing up? | 00:23:43.340: New techniques | 00:26:54.363: Cartography | 00:30:17.228: Different levels of aggregation | 00:31:17.373: Sonification | 00:35:15.693: Tools: Upcoming Tableau features for storytelling | 00:40:54.116: RAW, other tools | 00:44:45.333: Coding: d3 still growing strong | 00:50:13.076: Community, new blogs | 00:53:26.505: Is there actually less crap? | 00:56:53.138: Handing out some awards! | 00:57:26.290: Accurat: studio of the year | 01:00:36.248: Best book: Isabel Meirelles: Design for Information | 01:04:23.006: 2014 | 01:05:42.200: Conferences: Tapestry, OpenVisConf, VIS, ... | 01:10:14.000: Yay for insights | 01:13:20.208: Yay for narratives | 01:14:35.853: Yay for case studies and process description | 01:15:20.540: Yay for internet of things, ambient vis, beyond the screen | 01:16:46.666: Wrapping it up | | 26 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/318/s/download/c/buttonlist/datastories-31.mp3">MP3 Audio<span class="size">73 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/317/s/download/c/buttonlist/datastories-31.m4a">MPEG-4 AAC Audio<span class="size">56 MB</span></a> </li> </ul><div style="clear: both"></div><p>Happy 2014!</p><p>Here we go folks. Another year has passed. We review what was big and major trends in 2013 and what to expect in 2014.</p><p>We have two old DS friends on the show to help us with the review: Andy “<a href="http://www.visualisingdata.com/">Visualisingdata</a>” Kirk and Robert “<a href="http://eagereyes.org/">Eagereyes</a>” Kosara.</p><p><strong>Important announcement: in 2014 we want to hear more from you!</strong> Please feel free to contact us to <em>ask questions</em>, we will address them in our upcoming podcasts. You can also <em>suggest new guests or topics</em> you would like us to cover. You can reach us through: Twitter (<a href="https://twitter.com/datastories">@datastories</a>) | <a href="https://www.facebook.com/pages/Data-Stories/299056500149170">Facebook</a> | Email: mail@datastori.es. We are looking forward to hearing from you!</p><p>Take care.</p><p>—</p><p>Links</p><ul><li><a href="http://guns.periscopic.com/">Periscopic’s U.S. Gun Deaths</a></li><li><a href="http://drones.pitchinteractive.com/">Pitch Interactive’s Drones</a></li><li>NYT’s <a href="http://www.nytimes.com/newsgraphics/2013/07/21/silk-road/">Silkroad</a> and <a href="http://www.nytimes.com/projects/2012/snow-fall/#/?part=tunnel-creek">Snowfall</a></li><li><a href="http://youtu.be/QPKKQnijnsM">Wealth Inequality Video</a></li><li>Interactive Things’ <a href="http://work.interactivethings.com/nzz-swiss-maps/">NZZ Swiss Maps</a></li><li><a href="http://tobias.isenberg.cc/VideosAndDemos/Wood2012SRI">Sketchy Rendering for InfoVis</a></li><li><a href="http://labratrevenge.com/pdx/#12/45.4802/-122.6706">Age of Buildings</a> (pointillistic cartography)</li><li><a href="http://www.nanocubes.net/">Nanocubes: Fast Visualization of Large Spatiotemporal Datasets</a></li><li>Washington Post’s <a href="http://www.washingtonpost.com/wp-srv/special/local/dc-shot-spotter/">Shots heard around the District</a></li><li>Density Design’s <a href="http://raw.densitydesign.org/">RAW Visualization Tool</a></li><li>New Blogs: <a href="http://wtfviz.net/">http://wtfviz.net/</a> | <a href="http://helpmeviz.com/">http://helpmeviz.com/</a> | <a href="http://thumbsupviz.com/">http://thumbsupviz.com/</a></li><li>Book: <a href="http://isabelmeirelles.com/book-design-for-information/">Design for Information</a> (<a href="http://eagereyes.org/criticism/review-isabel-meirelles-design-information">Robert’s Review</a>)</li><li>Nate Silver’s <a href="http://www.fivethirtyeight.com/">Five Thirty Eight</a> and the <a href="http://www.fivethirtyeight.com/2014/01/data-visualization-job-openings.html">Vis Job Opening</a></li><li><a href="http://eagereyes.org/blog/2013/story-points">Tableau Story Points</a></li><li><a href="https://infoactive.co/">Infoactive</a> – Kickstarter Vis Tool Project</li></ul>"" | |||||||||||||||||||
72 | 30 | Tue, 10 Dec 2013 05:23:05 +0000 | 30 | The Information Flaneur w/ Marian Dörk | Chat | 1 | M | 1:02:52 | http://datastori.es/data-stories-30-the-information-flaneur-w-marian-dork/ | http://datastori.es/podlove/file/303/s/feed/c/podcast/datastories-30.m4a | 00:00:00.000: Start | 00:00:01.061: Ginger tea, bees, and other news | 00:03:49.186: Our guest today: Marian Dörk | 00:05:40.934: Marian's background | 00:10:48.942: The information flaneur | 00:19:49.998: Pivot paths | 00:24:03.601: Is overview overrated? | 00:28:27.147: Shneiderman's Mantra: Overview first, filter and zoom, and details on demand | 00:29:40.965: Does it depend on the data type? e.g. Lev Manovich's image plots | 00:32:02.056: Will it move into existing browsing tools? | 00:35:06.472: Information scent | 00:37:32.112: Avoiding lock in in local views | 00:39:56.660: Monadic exploration | 00:44:34.361: Enrico’s experience from a biochemistry project | 00:47:05.584: “Search, show context, expand later” | 00:47:26.514: Scientists are esoteric, too | 00:50:48.549: Design tips? | 00:52:29.705: Explorability | 00:53:42.820: Orientation | 00:54:36.521: Visual momentum | 00:56:11.636: Serendipity | 00:59:04.579: Generous Interfaces | 01:00:17.165: Wrapping it up | | 23 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/301/s/download/c/buttonlist/datastories-30.mp3">MP3 Audio<span class="size">57 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/303/s/download/c/buttonlist/datastories-30.m4a">MPEG-4 AAC Audio<span class="size">44 MB</span></a> </li> </ul><div style="clear: both"></div><p>Hi there,</p><p>We have <a href="http://mariandoerk.de/">Marian Dörk</a> on the show today to talk about the “Information Flaneur”: an approach to data visualization centered on navigating, exploring, browsing and observing data with curiosity to learn about what’s there, and to see and be surprised by new thoughts and discoveries.</p><p>Marian is Research Professor at the <a href="http://www.fh-potsdam.de/">University of Applied Sciences Potsdam</a> near Berlin where he works on “exploring novel uses of interactive visualizations to support a wide range of information practices.”</p><p>We talk about many interesting new directions for visualization like visualizing data starting from a few seed points, whether we always need an overview first in visualization, and tips on how to design visualization for “information flaneurs.”</p><p>Enjoy the show!</p><p>—</p><p>Links</p><ul><li dir="ltr"><p dir="ltr">Marian’s <a href="http://www.patina.ac.uk/">Patina Project</a></p></li><li dir="ltr"><p dir="ltr">Marian’s <a href="http://mariandoerk.de/informationflaneur/chi2011.pdf">Information Flaneur Paper</a></p></li><li dir="ltr"><p dir="ltr">Marian’s <a href="http://mariandoerk.de/pivotpaths/">Pivot Paths</a></p></li><li dir="ltr"><p dir="ltr">Shneiderman’s <a href="http://drum.lib.umd.edu/bitstream/1903/5784/1/TR_96-66.pdf">Overview first, filter and zoom, and details on demand</a></p></li><li dir="ltr"><p dir="ltr">Lev Manovich work on <a href="http://lab.softwarestudies.com/2008/09/cultural-analytics.html">Cultural Analytics</a></p></li><li dir="ltr"><p dir="ltr">Pirolli and Card’s <a href="http://en.wikipedia.org/wiki/Information_foraging">Information Scent Theory</a></p></li><li dir="ltr"><p dir="ltr">Monadic exploration / <a href="http://explore.beautifultrouble.org/">Beautiful trouble</a></p></li><li dir="ltr"><p dir="ltr">Enrico’s Paper on <a href="http://hitsee.hs8.de/">Egocentric Biochemistry Visualization</a></p></li><li dir="ltr"><p dir="ltr">Van Ham and Perer’s Paper: “<a href="http://perer.org/papers/adamPerer-DOIGraphs-InfoVis2009.pdf">Search, show context, expand later</a>”</p></li><li dir="ltr"><p dir="ltr">Mitchell Whitelaw’s <a href="http://mtchl.net/">Generous interfaces</a></p></li><li dir="ltr"><p dir="ltr">Marian’s <a href="http://mariandoerk.de/edgemaps/">Edge Maps</a></p></li></ul>"" | |||||||||||||||||||
73 | 29 | Fri, 15 Nov 2013 18:16:15 +0000 | 29 | Treemaps w/ Ben Shneiderman | Chat | 1 | M | 1:04:05 | http://datastori.es/data-stories-29-treemaps-w-ben-shneiderman/ | http://datastori.es/podlove/file/289/s/feed/c/podcast/datastories-29.m4a | 00:00:00.000: Enrico and Moritz catching up | 00:01:07.581: Our guest today: Ben Shneiderman | 00:02:10.442: How it all started for Ben | 00:04:25.817: The genesis of treemaps | 00:06:59.747: Slow adaption of radically new ideas | 00:08:53.575: Slice and dice treemap | 00:09:52.665: Squarified treemaps | 00:11:14.345: Market map | 00:12:41.413: Developing the project further | 00:13:51.066: Applied problems as a motor for science | 00:14:25.906: Emergence of the field of information visualization | 00:16:12.356: Treemap art | 00:18:46.677: Nassi-Shneiderman diagrams | 00:22:10.870: More stories from how the scientific field of infovis was formed | 00:23:22.565: Dynamic queries, filmfinder | 00:24:02.545: Spotfire | 00:26:10.750: Commercial effects of infovis research | 00:27:21.120: d3 | 00:28:21.960: Treemap art project ctd. | 00:41:16.996: Manuel Lima's new book | 00:43:20.779: Role of art and aesthetics for information visualization | 00:51:13.995: Visual literacy as main challenge in the future | 00:58:05.383: Is infovis over-aestheticized today? | 01:00:39.744: How to acquire treemap art prints | | 24 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/290/s/download/c/buttonlist/datastories-29.mp3">MP3 Audio<span class="size">59 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/289/s/download/c/buttonlist/datastories-29.m4a">MPEG-4 AAC Audio<span class="size">45 MB</span></a> </li> </ul><div style="clear: both"></div><p>Hi Everyone,</p><p>We have a super guest this time on the show! <a href="http://www.cs.umd.edu/~ben/">Ben Shneiderman</a> joins us to talk about his new <a href="http://treemapart.wordpress.com/">treemap art project</a> (beautiful treemap prints you can hang on the wall), treemaps and their history, and information visualization in general. Needless to say, we had a wonderful time chatting with him: lots of history and very inspiring thoughts (tip: we should look at vis 50-100 years from now!)</p><p>Take care.</p><p>—</p><p>Links</p><ul><li><a href="http://www.amazon.com/Software-psychology-computer-information-Winthrop/dp/0876268165">Software Psychology</a> (early book from Ben Shneiderman)</li><li><a href="http://www.cs.umd.edu/hcil/members/bshneiderman/nsd/">A short history of structured flowcharts</a> (Nassi-Shneiderman Diagrams) (funny story of how this was badly rejected as a paper)</li><li><a href="http://www.cs.umd.edu/hcil/treemap-history/">Treemap History</a> (from Ben Shneiderman’s web page)</li><li><a href="http://treemapart.wordpress.com/">Tremap Art Project</a> (new Ben Shneiderman’s art project) (you can download your own prints!)</li></ul><p>Papers</p><ul><li>Bruls, Mark, Kees Huizing, and Jarke J. Van Wijk. “<a href="http://www.win.tue.nl/~vanwijk/stm.pdf">Squarified treemaps.</a>” Data Visualization 2000. Springer Vienna, 2000. 33-42. [First algorithm taking care of aspect ratio]</li><li>Bederson, Benjamin B., Ben Shneiderman, and Martin Wattenberg. “<a href="http://hcil2.cs.umd.edu/trs/2001-18/2001-18.pdf">Ordered and quantum treemaps: Making effective use of 2D space to display hierarchies.</a>” AcM Transactions on Graphics (TOG) 21.4 (2002): 833-854. [paper with extensive evaluation of alternative treemap layouts]</li><li>Ahlberg, Christopher, Christopher Williamson, and Ben Shneiderman. “<a href="http://drum.lib.umd.edu/bitstream/1903/374/2/CS-TR-2763.pdf">Dynamic queries for information exploration: An implementation and evaluation.</a>” Proceedings of the SIGCHI conference on Human factors in computing systems. ACM, 1992.</li></ul> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/96-innovation-from-research-with-jarke-van-wijk/">96 | Innovation from Research with Jarke Van Wijk</a> </li> </ul>"" | |||||||||||||||||||
74 | 28 | Mon, 28 Oct 2013 16:55:39 +0000 | 28 | IEEE VIS’13 Highlights w/ Robert Kosara | Conference | 1 | M | 0:49:13 | http://datastori.es/data-stories-28-ieee-vis13-highlights-w-robert-kosara/ | http://datastori.es/podlove/file/285/s/feed/c/podcast/datastories-28.m4a | 00:00:00.000: Enrico and Robert Kosara reporting from VIS Atlanta | 00:02:40.643: Opening Session | 00:05:00.778: VAST session | 00:09:02.841: Chart memorability | 00:16:13.999: SketchStory | 00:16:59.999: Understanding sequence in narrative visualization | 00:18:51.999: Concrete scales | 00:22:04.747: Visual sedimentation | 00:24:47.247: Nanocubes | 00:26:31.998: Panel: Big Data | 00:31:13.219: Panel on evaluation | 00:33:34.427: Aspect ratios in scatterplots | 00:36:31.545: Visualizing change in complex graphs | 00:38:48.343: Form layout | 00:41:13.711: Art exhibition, industry session, VAST challenge | 00:44:00.112: Vis lies | 00:45:13.763: Outlook on capstone by Jarke van Wijk | 00:48:02.063: VIS 2014 in Paris | | 18 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/286/s/download/c/buttonlist/datastories-28.mp3">MP3 Audio<span class="size">45 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/285/s/download/c/buttonlist/datastories-28.m4a">MPEG-4 AAC Audio<span class="size">34 MB</span></a> </li> </ul><div style="clear: both"></div><p>Hi Folks!</p><p>We did it again: we have a special episode directly from <a href="http://ieeevis.org/year/2013/info/vis-welcome/welcome">IEEE VIS’13</a> (the premier academic conference on visualization). Enrico caught Robert Kosara and recorded almost one hour of highlights from the conference. And there is a final message for Moritz too! Don’t miss it.</p><p>Take care.</p><p>—</p><p>Links (some of the papers mentioned):</p><ul><li><a href="http://cvcl.mit.edu/papers/Borkin_etal_MemorableVisualization_TVCG2013.pdf">Chart Memorability</a></li><li><a href="http://research.microsoft.com/en-us/um/redmond/groups/cue/publications/TVCG2013-SketchStory.pdf">Sketchy Story</a> (freeform data visualization)</li><li><a href="http://research.microsoft.com/en-us/um/redmond/groups/cue/publications/TVCG2013-StorySequence.pdf">Understanding Sequence in Narrative Visualization</a></li><li><a href="http://www.nanocubes.net/">Nanocubes</a> (large-scale visualization on the web)</li><li><a href="http://www.visualsedimentation.org/">Visual Sedimentation</a> (handling dynamic/streaming data)</li><li>Robert’s <a href="http://eagereyes.org/blog/2013/report-from-ieee-vis-2013-in-atlanta-ga">Conference Report on Eagereyes</a></li><li><a href="http://www.cad.zju.edu.cn/home/vagblog/vispapers.html">IEEE (VisWeek) VIS Papers on the Web</a> (collection of papers accessible on the web)</li></ul> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/86-highlights-from-ieee-vis16-with-jessica-hullman-and-robert-kosara/">86 | Highlights from IEEE VIS'16 with Jessica Hullman and Robert Kosara</a> </li> </ul>"" | |||||||||||||||||||
75 | 27 | Thu, 17 Oct 2013 15:51:07 +0000 | 27 | Big Data Skepticism w/ Kate Crawford | Chat | 1 | F | 1:05:13 | http://datastori.es/data-stories-27-big-data-skepticism-w-kate-crawford/ | http://datastori.es/podlove/file/265/s/feed/c/podcast/datastories-27.m4a | 00:00:00.000: Enrico and mo are catching up - back to teaching | 00:02:32.255: Our guest - Kate Crawford | 00:04:14.693: Background and current research | 00:08:53.123: Big data optimism | 00:13:02.666: What are the main problems with the current big data hype? | 00:14:09.934: False sense of objectivity from bigger data sets | 00:19:49.880: Catchy headline syndrome, also data!=truth | 00:23:43.075: History of objectivity | 00:25:26.650: A quality seal or checklist for data integrity? | 00:26:45.860: Algorithmic discrimination | 00:33:01.963: Paper "Private traits and attributes are predictable from digital records of human behavior" | 00:34:27.516: Where to draw the line? | 00:38:05.379: Demands to companies using data for profiling | 00:41:26.964: Anonymity | 00:47:44.890: Embrace post-privacy? | 00:49:37.525: How we can strengthen data ethics | 01:01:59.996: Two algorithms walk into a bar... | | 17 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/267/s/download/c/buttonlist/datastories-27.mp3">MP3 Audio<span class="size">60 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/265/s/download/c/buttonlist/datastories-27.m4a">MPEG-4 AAC Audio<span class="size">46 MB</span></a> </li> </ul><div style="clear: both"></div><p>Here we go with another great episode. This time more on the data side. We have <a href="http://www.katecrawford.net/">Kate Crawford</a>, Principal Researcher at Microsoft Research, on the show talking about the other face of big data. That is, after all the excitement, hype, and buzz, she is the one who is asking the tough questions: Is more data always better? Is there any objective truth in it? Is big data really making us smarter?</p><p>Papers and articles from Kate</p><ul><li>boyd, d and Crawford, K. 2012 ‘<a style="font-style: normal;" href="http://www.tandfonline.com/doi/full/10.1080/1369118X.2012.678878">Critical Questions for Big Data</a>‘, Information, Communication and Society, Volume 15, no 5, pp 662-679.</li><li>Crawford, K and Schultz, J. 2014 ‘<a style="font-style: normal;" href="http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2325784&download=yes">Big Data and Due Process: Toward a Framework to Redress Predictive Privacy Harms</a>‘, Boston College Law Review, Vol. 55, No. 1.</li><li><a href="http://blogs.hbr.org/2013/04/the-hidden-biases-in-big-data/">“The Hidden Biases in Big Data”</a> (Harvard Business Review)</li><li><a href="http://www.foreignpolicy.com/articles/2013/05/09/think_again_big_data">“Think Again: Big Data”</a> (Foreign Policy)</li></ul><p>Some of Kate’s Talks</p><ul><li><a style="font-style: normal;" href="https://www.youtube.com/watch?v=h_WScJu40mU">The Raw and the Cooked: The Mythologies of Big Data</a></li><li>Strata 2013: Kate Crawford, “<a style="font-style: normal;" href="http://www.youtube.com/watch?v=irP5RCdpilc">Algorithmic Illusions: Hidden Biases of Big Data</a>“</li></ul><p>Links</p><ul><li>Book: <a style="font-style: normal;" href="http://www.amazon.com/Objectivity-Lorraine-J-Daston/dp/189095179X">Objectivity</a> by Lorraine J. Daston (How recent is it?)</li><li>Paper: <a style="font-style: normal;" href="http://www.pnas.org/content/early/2013/03/06/1218772110.full.pdf">Private traits and attributes are predictable from digital records of human behavior</a> (how big data and algorithms can discriminate).</li><li>Paper: <a style="font-style: normal;" href="http://www.nature.com/srep/2013/130325/srep01376/full/srep01376.html">Unique in the Crowd: The privacy bounds of human mobility</a> (only 4 data points are needed to identify a person)</li><li><a href="http://www.nature.com/news/when-google-got-flu-wrong-1.12413">When Google got flu wrong</a> (Google failing to predict flu)</li><li><a href="http://www.wired.com/science/discoveries/magazine/16-07/pb_theory">The End of Theory: “The Data Deluge Makes the Scientific Method Obsolete”</a> (Chris Anderson on the end of theory, correlation vs. causation, etc.)</li><li><a href="http://www.theatlanticcities.com/technology/2013/04/how-map-op-ed/5143/">How a Map Is Like an Op-Ed</a> (“Maps are arguments, just like a piece of written journalism is an argument.”)</li><li>Mislove, Alan, et al. “<a href="http://www.aaai.org/ocs/index.php/ICWSM/ICWSM11/paper/viewFile/2816/3234">Understanding the Demographics of Twitter Users.</a>” ICWSM. 2011.</li></ul><p>—</p><p>Enjoy it, there’s lots of food for thoughts here!</p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/74-data-ethics-and-privacy-with-eleanor-saitta/">74 | Data Ethics and Privacy with Eleanor Saitta</a> </li> <li> <a href="http://datastori.es/85-machine-bias-with-jeff-larson/">85 | Machine Bias with Jeff Larson</a> </li> <li> <a href="http://datastori.es/97-calling-bullshit-with-carl-bergstrom-and-jevin-west/">97 | Calling Bullshit with Carl Bergstrom and Jevin West</a> </li> </ul>"" | |||||||||||||||||||
76 | 26 | Mon, 09 Sep 2013 16:07:17 +0000 | 26 | Visualization Beyond the Desktop w/ Petra Isenberg | Chat | 1 | F | 0:58:49 | http://datastori.es/ds26-visualization-beyond-desktop/ | http://datastori.es/podlove/file/121/s/feed/c/podcast/datastories-26.m4a | 00:00:00.000: Back from summer break | 00:02:41.778: Our guest today: Petra Isenberg | 00:05:59.393: Moving beyond the desktop | 00:11:55.363: New challenges in collaborative settings | 00:22:25.964: Interactions with very large screens | 00:38:14.214: Practical use and how to get started | 00:48:53.212: More resources | | 7 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/122/s/download/c/buttonlist/datastories-26.mp3">MP3 Audio<span class="size">54 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/121/s/download/c/buttonlist/datastories-26.m4a">MPEG-4 AAC Audio<span class="size">42 MB</span></a> </li> </ul><div style="clear: both"></div><p>Hi Folks!</p><p>We are back after a relaxing summer with a brand new episode! We have <a href="http://petra.isenberg.cc/">Petra Isenberg</a>, from the <a href="http://www.aviz.fr/">Aviz</a> team at INRIA (we’ve had <a href="http://datastori.es/episode17-data-sculptures/">other guests from the same lab</a> in the past) to talk about visualization on non-standard devices and environments. Yes, stuff like display walls, surfaces, tabletops, and people collaborating around them. It feels like the future is here and there’s a ton of potentially interesting applications for visualization!</p><p>Petra gives us hints about what works and what does not work, what the research says, what has been tried already, and what needs to be explored, etc. She also gives practical recommendations at the end about how to start doing visualization on these devices. Really cool stuff!</p><p>Take care,<br />Enrico & Mo.</p><p>—</p><p>Chapters</p><ul><li>00:00 Back from summer break</li><li>02:41 Our guest today: Petra Isenberg</li><li>05:59 Moving beyond the desktop</li><li>11:55 New challenges in collaborative settings</li><li>22:25 Interactions with very large screens</li><li>38:14 Practical use and how to get started</li><li>48:53 More resources</li></ul><p>—</p><p>Links and papers:</p><ul><li>Petra’s Web Site: <a href="http://petra.isenberg.cc/">http://petra.isenberg.cc/</a></li><li>Surface work from Moritz<ul><li><a href="http://mace-project.eu/maeve/">http://mace-project.eu/maeve/</a></li><li><a href="http://max-planck-research-networks.net">http://max-planck-research-networks.net</a></li></ul></li><li><a href="http://panic.com/statusboard/">Statusboard</a></li><li>Bezerianos, Anastasia, and Petra Isenberg. “<a href="http://hal.inria.fr/docs/00/71/92/03/PDF/WallEncodings-article.pdf">Perception of visual variables on tiled wall-sized displays for information visualization applications.</a>“<i>Visualization and Computer Graphics, IEEE Transactions on</i> 18.12 (2012): 2516-2525.</li><li>Scott, Stacey D., et al. “<a href="http://pages.cpsc.ucalgary.ca/~sheelagh/wiki/uploads/Main/Publications/scott_cscw2004.pdf">Territoriality in collaborative tabletop workspaces.</a>” Proceedings of the 2004 ACM conference on Computer supported cooperative work. ACM, 2004.<br />APA</li></ul><p dir="ltr">Resource list from Petra</p><p dir="ltr">Research links:</p><ul><li>Papercollection: <a style="font-style: normal;" href="https://docs.google.com/spreadsheet/ccc?key=0AmuGsrlucvWQdGtzVjZlWG5waDMyUkRrUVZFM0txTkE&usp=sharing">Literature review including papers at the intersection of visualization+interactive surfaces</a> (research article to appear)</li><li>Book: <a style="font-style: normal;" href="http://www.springer.com/computer/hci/book/978-1-84996-112-7">Tabletops – Horizontal Interactive Surfaces</a></li><li><a style="font-style: normal;" href="http://its2013.org/">Conference on Interactive Tabletops and Surfaces</a></li></ul><p dir="ltr">Technology links:</p><ul><li><a style="font-style: normal;" href="http://interactivemultimediatechnology.blogspot.fr/">Interactive Multimedia Technology</a> (blog by <a style="font-style: normal;" href="https://twitter.com/lynnmarentette">lynnmarentette</a>)</li><li><a style="font-style: normal;" href="https://groups.google.com/forum/#!forum/multi-touch">Multitouch google group</a> (managed by Johannes Schöning), email <a style="font-style: normal;" href="http://www.johannesschoening.de/website/Johannes_Schoning.html">Johannes</a> to be added to the mailing list</li></ul><p dir="ltr">Software frameworks/libraries for developing vis on surfaces:</p><ul><li><a style="font-style: normal;" href="https://github.com/shiffman/Most-Pixels-Ever-Processing">Most Pixels Ever</a> (Processing for very large wall displays – I forgot to mention this one during the podcast)</li><li><a style="font-style: normal;" href="http://kivy.org/#home">kivy</a> (Python framework for developing multi-touch applications)</li><li><a style="font-style: normal;" href="https://www.libavg.de/site/projects/libavg/wiki/Showcase">libavg</a> (maintained by Ulrich von Zadow who has worked on several visualization + interactive surface installations)</li><li><a style="font-style: normal;" href="http://zvtm.sourceforge.net/">ZVTM</a> (Java toolkit for developing ZUIs, includes possibilities to run visualizations on a cluster)</li><li><a style="font-style: normal;" href="http://msdn.microsoft.com/en-us/library/ff727815.aspx">Microsoft Surface SDK</a></li><li>(for mobile check out iOS and Android SDKs)</li></ul>"" | |||||||||||||||||||
77 | 25 | Fri, 12 Jul 2013 17:40:42 +0000 | 25 | Visualization on Mobile & Touch Devices w/ Dominikus Baur | Chat | 1 | F | 1:04:40 | http://datastori.es/data-stories-25-mobile-touch-vis/ | http://datastori.es/podlove/file/125/s/feed/c/podcast/datastories-25.m4a | 00:00:00.000: Enrico and mo go on vacations | 00:02:28.465: Our guest: Dominikus Baur | 00:04:06.938: Life logging and personal media | 00:05:10.999: Accents | 00:05:39.265: Why mobile visualization, and how is it different from desktop visualizations? | 00:09:24.781: Mobile interaction | 00:13:27.751: Mobiles for interaction with other displays | 00:14:38.107: Augmented reality | 00:15:54.878: TouchWave - touch interaction with stacked graphs | 00:21:52.893: Multitouch | 00:24:45.389: Analytical, advanced visualization on mobile? | 00:26:44.495: Self-tracking and life logging | 00:31:17.188: Daytum app | 00:32:54.993: Other good mobile visualization apps | 00:35:12.994: Second screen apps | 00:36:28.105: Moritz wants an atlas | 00:37:04.875: The age of ghettoblasters | 00:38:00.720: Use mobiles to interact with large screens | 00:41:48.958: Technology: native, or web-based? | 00:46:07.993: Better Life Index: HTML5 port works on mobiles, tablets | 00:48:00.249: Research on mobile and touch interactions | 00:50:39.365: Large screens | 00:58:54.665: How to get started | 01:01:13.551: Dominikus will start a blog!! | | 24 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/126/s/download/c/buttonlist/datastories-25.mp3">MP3 Audio<span class="size">59 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/125/s/download/c/buttonlist/datastories-25.m4a">MPEG-4 AAC Audio<span class="size">46 MB</span></a> </li> </ul><div style="clear: both"></div><p>Hi Everyone,</p><p>In this episode we talk about visualization on mobile and touch devices. How do you design visualization interfaces for these kinds of devices? How different is it to interact with your fingertips rather than with your mouse? Advantages, disadvantages, unexplored opportunities?</p><p>We discuss with <a href="http://do.minik.us/blog">Dominukus Baur</a>, interaction designer and mobile data visualization specialist. You can see his work on <a href="http://do.minik.us/blog">his website/blog</a>. Make sure to give a look to his talk at the OpenVis Conference: <a href="http://do.minik.us/blog/openvisconf_talk">Data on Your FingerTips</a>. He gives lots of useful tips!</p><p><strong>Episode Chapters</strong></p><p>00:00:00 Enrico and Mo go on vacations<br />00:02:28 Our guest: Dominikus Baur<br />00:04:06 Life logging and personal media<br />00:05:10 Accents<br />00:05:39 Why mobile visualization, and how is it different from desktop visualizations?<br />00:09:24 Mobile interaction<br />00:13:27 Mobiles for interaction with other displays<br />00:14:38 Augmented reality<br />00:15:54 TouchWave – touch interaction with stacked graphs<br />00:21:52 Multitouch<br />00:24:45 Analytical, advanced visualization on mobile?<br />00:26:44 Self-tracking and life logging<br />00:31:17 Daytum app<br />00:32:54 Other good mobile visualization apps<br />00:35:12 Second screen apps<br />00:36:28 Moritz wants an atlas<br />00:37:04 The age of ghettoblasters<br />00:38:00 Use mobiles to interact with large screens<br />00:41:48 Technology: native, or web-based?<br />00:46:07 Better Life Index: HTML5 port works on mobiles, tablets<br />00:48:00 Research on mobile and touch interactions<br />00:50:39 Large screens<br />00:58:54 How to get started<br />01:01:13 Dominikus will start a blog!!</p><p><strong>Links</strong></p><ul><li>Dominikus’ <a href="http://do.minik.us/projects/touchwave">TouchWave</a> (rich interaction with stackgraphs)</li><li><a href="http://daytum.com/about/iphone_app">Daytum iPhone App</a> (from Nicholas Feltron for self-logging)</li></ul><p>Business Intelligence iPad Apps</p><ul><li>Roambi (<a href="http://www.roambi.com/">http://www.roambi.com/</a>)</li><li>MicroStrategy Mobile (<a href="http://www.microstrategy.com/mobile/business-intelligence">http://www.microstrategy.com/mobile/business-intelligence</a>)</li><li>PUSHBI (<a href="http://pushbi.com/">http://pushbi.com/</a>)</li><li>Perspective (<a href="http://pixxa.com/">http://pixxa.com/</a>) etc etc</li></ul><p>Presentation Apps</p><ul><li>HaikuDeck (<a href="http://www.haikudeck.com/">http://www.haikudeck.com/</a>)</li><li>Apple Keynote (<a href="http://www.apple.com/apps/iwork/keynote/">http://www.apple.com/apps/iwork/keynote/</a>)</li></ul><p dir="ltr">Research</p><ul><li><a href="http://research.microsoft.com/apps/pubs/?id=189011">TouchViz: A Case Study Comparing Two Interfaces for Data Analytics on Tablets</a></li><li><a href="http://hcilab.uniud.it/publications/2006-03/VisualizingInformationMobile_IEEECOMPUTER.pdf">Visualizing Information on Mobile Devices</a></li><li><a href="http://hci.uni-konstanz.de/downloads/zuiScat.pdf">Querying and Visualizing Information Spaces on Personal Digital Assistants</a></li><li><a href="http://dl.acm.org/citation.cfm?id=1731926">Getting Practical with Interactive Tabletop Displays: Designing for Dense Data, Fat Fingers, Diverse Interactions, and Face-to-Face Collaboration</a></li><li><a href="http://innovis.cpsc.ucalgary.ca/innovis/uploads/Courses/InfoVisTutorial2010/read_Lark.pdf">Lark: Coordinating Co-located Collaboration with Information Visualization</a></li><li><a href="http://dl.acm.org/citation.cfm?id=1936684">Tangible Views for Information Visualization</a></li></ul><p> </p><p> </p><p> </p>"" | |||||||||||||||||||
78 | 24 | Wed, 19 Jun 2013 22:22:18 +0000 | 24 | The VAST Challenge: Visual Analytics Competitions with Synthetic Benchmark Data Sets | Project | 2 | MIXED | 1:09:24 | http://datastori.es/data-stories-24-vast-challenge/ | http://datastori.es/podlove/file/129/s/feed/c/podcast/datastories-24.m4a | 0 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/130/s/download/c/buttonlist/datastories-24.mp3">MP3 Audio<span class="size">64 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/129/s/download/c/buttonlist/datastories-24.m4a">MPEG-4 AAC Audio<span class="size">49 MB</span></a> </li> </ul><div style="clear: both"></div><p>Hi Everyone,</p><p>In this episode we talk about the <a href="http://vacommunity.org/VAST+Challenge+2013">VAST Challenge</a>, a visual analytics contest organized every year. The VAST Challenge is co-located with the <a href="http://ieeevis.org/">IEEE VIS Conference</a>, the premier venue for academic work in visualization.</p><p>The VAST Challenge has many unique features (like the generation of synthetic data sets with injected ground truth) and this year for the first time it features a <a href="http://boxofficevast.org/">predictive analytics</a> and <a href="http://vacommunity.org/VAST+Challenge+2013%3A+Mini-Challenge+2">design mini-challenge</a>. (Stephen Few has also discussed this too <a href="http://www.perceptualedge.com/blog/?p=1620">here</a>.) You should definitely check it out.</p><p>We talk with Prof. <a href="http://www.cs.uml.edu/~grinstei/">Georges Grinstein</a> from UMass Lowell and Celste Paul from NSA. They give us lots of details about how the data is generated, how the entries are evaluated and how it looks like participating to the contest.</p><p>You guys should actually give it a try and rock it!</p><p>—</p><p>[Sorry no episode chapters this time]</p><p><strong>Links</strong></p><ul><li><span style="line-height: 15px;"><a href="http://www.kdd.org/kddcup/index.php">KDD Cup</a>: main contest in data mining</span></li><li><a href="http://trec.nist.gov/">TREC</a>: main contest in text retrieval</li><li><a href="http://www.cs.umd.edu/hcil/InfovisRepository/benchmark.shtml">Benchmark data sets</a> from InfoVis Contest</li><li><a href="http://hcil.cs.umd.edu/localphp/hcil/vast/archive/">Visual Analytics Benchmark Repository</a> (all past VAST Challenge editions)</li><li><a href="http://kimasendorf.com/sumedicina/">Sumedicina</a>: telling fictional stories with charts (see explanation <a href="http://datavisualization.ch/showcases/sumedicina/">here</a>)</li></ul><p><strong>Papers</strong></p><ul><li>Plaisant, Catherine, J-D. Fekete, and Georges Grinstein. <a href="http://hal.inria.fr/docs/00/70/17/42/PDF/2004-30.pdf">Promoting insight-based evaluation of visualizations: From contest to benchmark repository.</a> Visualization and Computer Graphics, IEEE Transactions on 14.1 (2008): 120-134.</li><li>Pascale Proulx and Casey Canfield. <a href="http://ivi.sagepub.com/content/early/2013/05/08/1473871613487090.abstract">The beneficial role of the VAST Challenges in the evolution of GeoTime and nSpace2</a>. Information Visualization. May 10, 2013 preprint</li><li>Christian Rohrdantz, Florian Mansmann, Chris North, and Daniel A Keim. <a href="http://ivi.sagepub.com/content/early/2013/04/09/1473871613481693.abstract">Augmenting the educational curriculum with the Visual Analytics Science and Technology Challenge: Opportunities and pitfalls</a>. Information Visualization. April 11, 2013 preprint</li><li>Jean Scholtz, Catherine Plaisant, Mark Whiting, and Georges Grinstein. <a href="http://ivi.sagepub.com/content/early/2013/06/07/1473871613490290.abstract">Evaluation of visual analytics environments: The road to the Visual Analytics Science and Technology challenge evaluation methodology.</a> Information Visualization. June 11, 2013 preprint</li><li>Costello, Loura, et al. <a href="http://ivi.sagepub.com/content/8/3/230.short">Advancing user-centered evaluation of visual analytic environments through contests.</a> Information Visualization 8.3 (2009): 230-238.</li></ul>"" | ||||||||||||||||||||
79 | 23 | Thu, 30 May 2013 15:35:09 +0000 | 23 | Inspiration or Plagiarism? w/ Bryan Connor and Mahir Yavuz | Chat | 2 | M | 1:16:30 | http://datastori.es/data-stories-23-inspiration-or-plagiarism/ | http://datastori.es/podlove/file/133/s/feed/c/podcast/datastories-23.m4a | 00:00:00.000: Intro | 00:01:56.143: Flattr | 00:03:46.888: Main topic today: inspiration or plagiarism with our guests Mahir M. Yavuz and Bryan Connor | 00:07:53.164: Is data visualization turning into a copycat scene? | 00:08:32.289: Remake of subway map by New Yorker | 00:13:19.565: Patterns | 00:14:03.498: Idea - technology - aesthetics | 00:16:06.761: Patterns ctd. | 00:18:19.546: Gun murders - drone strikes - meteorites | 00:23:19.641: What constitutes an "outrageous rip-off"? | 00:27:31.997: On originality | 00:33:07.605: Guardian Gay Rights / Gun Laws graphic | 00:37:53.681: On the value of reproduction and chains of inspiration | 00:44:01.877: Stream graphs | 00:49:01.877: Value of transparent documentation of process | 00:50:44.813: Non-patterns | 00:53:13.603: Remix culture, github culture | 00:54:48.313: Snow fall | 00:58:04.994: Patents | 01:01:47.980: A new language for citation in design? | 01:09:36.660: Closing remarks | | 21 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/134/s/download/c/buttonlist/datastories-23.mp3">MP3 Audio<span class="size">70 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/133/s/download/c/buttonlist/datastories-23.m4a">MPEG-4 AAC Audio<span class="size">54 MB</span></a> </li> </ul><div style="clear: both"></div><p>Hi Folks!</p><p>In this episode we touch upon a tricky question: <em>where is the fine line between taking inspiration from other projects and merely copying them?</em> We discuss with <a href="http://bryanconnor.com/">Bryan Connor</a> from <a href="http://thewhyaxis.info/">The Why Axis</a> and <a href="http://mahirmyavuz.com/">Mahir Yavuz</a> from <a href="http://seedscientific.com/">Seed Scientific</a>.</p><p><strong>Note:</strong> We suggest you give a look to the links below (under the heading “Cases We Discuss in the Podcast”) before listening to the podcast, most of the episode is centered around these examples we selected for discussion.</p><p>—</p><p><strong>Episode Chapters</strong></p><p>00:00:00 Intro<br />00:01:56 Flattr<br />00:03:46 Main topic today: inspiration or plagiarism with our guests Mahir M. Yavuz and Bryan Connor<br />00:07:53 Is data visualization turning into a copycat scene?<br />00:08:32 Remake of subway map by New Yorker<br />00:13:19 Patterns<br />00:14:03 Idea – technology – aesthetics<br />00:16:06 Patterns ctd.<br />00:18:19 Gun murders – drone strikes – meteorites<br />00:23:19 What constitutes an “outrageous rip-off”?<br />00:27:31 On originality<br />00:33:07 Guardian Gay Rights / Gun Laws graphic<br />00:37:53 On the value of reproduction and chains of inspiration<br />00:44:01 Stream graphs<br />00:49:01 Value of transparent documentation of process<br />00:50:44 Non-patterns<br />00:53:13 Remix culture, github culture<br />00:54:48 Snow fall<br />00:58:04 Patents<br />01:01:47 A new language for citation in design?<br />01:09:36 Closing remarks</p><p>—</p><p><strong>Cases We Discuss in the Podcast</strong></p><p>New Yorker’s Inequality Subway Map</p><ul><li><a href="http://www.newyorker.com/sandbox/business/subway.html">Inequality and New York’s Subway</a> (the original)</li><li><a href="http://dangrover.github.io/sf-transit-inequality/">Inequality & Mass Transit in the Bay Area</a></li><li><a href="http://nofarehikes.net/map/">No Fare Hikes</a></li></ul><p>Periscopic’s Dramatic Animation of Gun Murders</p><ul><li><span style="line-height: 15px;"><a href="http://guns.periscopic.com/">U.S. Gun Deaths</a> (the original)</span></li><li><a href="http://drones.pitchinteractive.com/">Out of Sight, Out of Mind</a> (drones)</li><li><a href="http://bolid.es">Bolides</a> (meteorites)</li></ul><p>Guardian’s Gay Rights Radial Visualization</p><ul><li><span style="line-height: 15px;"><a href="http://www.guardian.co.uk/world/interactive/2012/may/08/gay-rights-united-states">Gay rights in the US, state by state</a> (the original)<br /></span></li><li><a href="http://swampland.time.com/2013/01/17/states-take-action/">States Take Action on Gun Control</a></li><li><a href="http://www.theglobeandmail.com/news/world/gun-control-in-america-a-state-by-state-breakdown/article6465107/">Gun control in America: A state-by-state breakdown</a></li></ul><p>Streamgraphs</p><ul><li><span style="line-height: 15px;"><a href="http://vis.pnnl.gov/research_themeriver.stm">The Original ThemeRiver</a> (developed at PNNL) (the original)</span></li><li><a href="http://www.leebyron.com/else/streamgraph/">Lee Byron’s Streamgraph</a></li><li><a href="http://www.davidrumsey.com/luna/servlet/detail/RUMSEY~8~1~200375~3001080:The-Histomap--Four-Thousand-Years-O">The Histomap</a> (Four Thousand Years Of World History)</li></ul><p dir="ltr"><strong>More Examples (not discussed)</strong></p><ul><li><span style="line-height: 15px;">Empires: <a href="http://www.visualizing.org/visualizations/historys-largest-empires">History’s Largest Empires</a> / </span><a href="http://www.visualizing.org/visualizations/empires-strike-again">Empires Strike Again</a></li><li>Spotlight Metaphor: <a href="http://infobawards.s3.amazonaws.com/SPOTLIGHT-ON-PROFITABILITY_Krisztina-Szucs.png">Spotlight of Profitability</a> / <a href="http://www.visualizing.org/visualizations/health-care-spending-selected-countries">Health Care Spending in Selected Countries</a></li><li>Pay Gap Scatter Plot: <a href="http://www.nytimes.com/interactive/2009/03/01/business/20090301_WageGap.html?_r=0">Why Is Her Paycheck Smaller?</a> / <a href="http://projects.flowingdata.com/salary/">Pay Gap Between Women and Men</a></li></ul><p><strong>Good Related Reads</strong></p><ul><li><a href="http://mako.cc/copyrighteous/the-remixing-dilemma">The Remixing Dilemma: The Trade-off Between Generativity and Originality</a></li><li><a href="http://www.visualisingdata.com/index.php/2012/05/the-fine-line-between-plagiarism-and-inspiration/">Andy Kirk’s The fine line between plagiarism and inspiration</a></li></ul><p><strong>Links</strong></p><ul><li><a href="http://andrewgelman.com/2013/01/20/ugly-ugly-ugly/"><span style="line-height: 15px;">Andrew Gelman’s criticism of gun control radial plot</span></a></li><li><a href="http://techcrunch.com/2013/05/21/snow-fail-the-new-york-times-and-its-misunderstanding-of-copyright/">Snow Fail: The New York Times And Its Misunderstanding Of Copyright</a></li><li>Ben Shneiderman et al.’s <a href="http://hcil2.cs.umd.edu/trs/2010-16/2010-16.pdf">Innovation Trajectories for Information Visualizations: Comparing Treemaps, Cone Trees, and Hyperbolic Trees</a> (on the commercial success/failure of some visualization techniques)</li><li>Stephen Few’s <a href="http://www.perceptualedge.com/blog/?p=217">Bullet Graph</a></li><li><a href="http://www.edwardtufte.com/bboard/q-and-a-fetch-msg?msg_id=0001OR">Edward Tufte’s Sparklines</a></li></ul><p>—</p><p>Thanks a lot to Bryan and Mahir for this intense, controversial and funny chat!</p><p>Take care,<br />Enrico and Moritz.</p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/81-the-hustle-with-mahir-yavuz-and-jan-willem-tulp/">81 | The Hustle with Mahir Yavuz and Jan Willem Tulp</a> </li> <li> <a href="http://datastori.es/88-re-designing-visualizations-on-makeovermonday-with-andy-kriebel-and-andy-cotgreave/">88 | Re-designing Visualizations on #MakeoverMonday with Andy Kriebel and Andy Cotgreave</a> </li> </ul>"" | |||||||||||||||||||
80 | 22 | Thu, 09 May 2013 11:30:25 +0000 | 22 | NYT Graphics and D3 with Mike Bostock and Shan Carter | Chat | 2 | M | 1:21:22 | http://datastori.es/data-stories-22-nyt-graphics-and-d3-with-mike-bostock-and-shan-carter/ | http://datastori.es/podlove/file/137/s/feed/c/podcast/datastories-22.m4a | 00:00:00.000: Intro | 00:00:12.296: Our guests today: New York Times graphics editors Mike Bostocks and Shan Carter | 00:01:54.839: About the NYT graphics department | 00:06:56.532: Map wrangling | 00:08:47.588: QA, evaluation, fact checking,... | 00:11:23.526: Twitter question: Post the data set along with the graphic? | 00:15:51.001: Exploratory or explanatory? | 00:19:56.886: User tracking, user feedback | 00:25:53.272: Balance of familiarity vs. new visual vocabularies | 00:29:52.732: Workflow, on the example of the 512 paths graphic | 00:38:05.337: Hybrid workflows between automation and manual layout | 00:45:12.662: d3 | 00:45:49.218: History and philosophy | 00:56:19.884: Value of examples | 00:57:31.329: Community adoption | 00:59:25.867: Vega | 01:04:53.660: More d3 books or tutorials for advanced users? | 01:08:15.028: Developer community | 01:09:45.956: Sustainability | 01:11:51.856: Future development | 01:15:10.111: Enrico is back! | 01:16:13.562: Is d3 complete? | 01:18:52.500: When does Mike sleep? | 01:19:45.881: Wrapping it up | | 24 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/138/s/download/c/buttonlist/datastories-22.mp3">MP3 Audio<span class="size">75 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/137/s/download/c/buttonlist/datastories-22.m4a">MPEG-4 AAC Audio<span class="size">57 MB</span></a> </li> </ul><div style="clear: both"></div><p><img data-attachment-id="1521" data-permalink="http://datastori.es/data-stories-22-nyt-graphics-and-d3-with-mike-bostock-and-shan-carter/ifknak5r/" data-orig-file="http://datastori.es/wp-content/uploads/2013/05/iFKNAk5R.jpg" data-orig-size="512,512" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="iFKNAk5R" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2013/05/iFKNAk5R-300x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2013/05/iFKNAk5R.jpg" class="alignnone wp-image-1521" src="http://datastori.es/wp-content/uploads/2013/05/iFKNAk5R.jpg" alt="iFKNAk5R" width="128" height="128" srcset="http://datastori.es/wp-content/uploads/2013/05/iFKNAk5R.jpg 512w, http://datastori.es/wp-content/uploads/2013/05/iFKNAk5R-150x150.jpg 150w, http://datastori.es/wp-content/uploads/2013/05/iFKNAk5R-300x300.jpg 300w" sizes="(max-width: 128px) 100vw, 128px" /><img data-attachment-id="1520" data-permalink="http://datastori.es/data-stories-22-nyt-graphics-and-d3-with-mike-bostock-and-shan-carter/avatar_84659ff40979_128/" data-orig-file="http://datastori.es/wp-content/uploads/2013/05/avatar_84659ff40979_128.png" data-orig-size="128,128" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="avatar_84659ff40979_128" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2013/05/avatar_84659ff40979_128.png" data-large-file="http://datastori.es/wp-content/uploads/2013/05/avatar_84659ff40979_128.png" class="alignnone size-full wp-image-1520" src="http://datastori.es/wp-content/uploads/2013/05/avatar_84659ff40979_128.png" alt="avatar_84659ff40979_128" width="128" height="128" /></p><p>Hi everyone,</p><p>We have graphic editors Mike Bostock and Shan Carter in this dense and long episode. It’s great to finally have someone from the New York Times!</p><p>We talk about many practical and more philosophical aspects of publishing interactive visualizations on the web. We also spend quite some time discussing the past, present and future of D3.js.</p><p>(On a side note: apologies for starting a bit abruptly and for the weird noises. Enrico was desperately and unsuccessfully trying to find a quiet and calm spot at the CHI conference.)</p><p>Take Care,<br />Enrico & Mo.</p><p>P.S. Many thanks to all of you guys who sent us Twitter questions for Mike and Shan.</p><p>—</p><p><strong>Episode Chapters</strong></p><p>00:00:00 Intro<br />00:00:12 Our guests today: New York Times graphics editors Mike Bostocks and Shan Carter<br />00:01:54 About the NYT graphics department<br />00:06:56 Map wrangling<br />00:08:47 QA, evaluation, fact checking,…<br />00:11:23 Twitter question: Post the data set along with the graphic?<br />00:15:51 Exploratory or explanatory?<br />00:19:56 User tracking, user feedback<br />00:25:53 Balance of familiarity vs. new visual vocabularies<br />00:29:52 Workflow, on the example of the 512 paths graphic<br />00:38:05 Hybrid workflows between automation and manual layout<br />00:45:12 d3<br />00:45:49 History and philosophy<br />00:56:19 Value of examples<br />00:57:31 Community adoption<br />00:59:25 Vega<br />01:04:53 More d3 books or tutorials for advanced users?<br />01:08:15 Developer community<br />01:09:45 Sustainability<br />01:11:51 Future development<br />01:15:10 Enrico is back!<br />01:16:13 Is d3 complete?<br />01:18:52 When does Mike sleep?<br />01:19:45 Wrapping it up</p><p><strong>Links to discussed NYT projects</strong></p><ul><ul><li><a href="http://www.nytimes.com/interactive/2012/11/02/us/politics/paths-to-the-white-house.html?_r=0">512 Paths to the White House</a> / <a href="http://shancarter.com/talk/2012/visualized/">Shan’s talk on the making of 512 paths</a></li><li><a href="http://www.nytimes.com/interactive/2012/10/15/us/politics/swing-history.html">Over the Decades, How States Have Shifted</a></li><li><a href="http://www.nytimes.com/interactive/2013/04/08/business/global/asia-map.html">China Still Dominates, but Some Manufacturers Look Elsewhere</a></li><li><a href="http://www.nytimes.com/interactive/2013/02/20/movies/among-the-oscar-contenders-a-host-of-connections.html">Among the Oscar Contenders, a Host of Connections</a></li><li><a href="http://www.ralphstraumann.ch/blog/2013/05/conceptualisation-of-a-d3-linked-view-with-hexagonal-cartogram/">Ralf Straumann on hexagonal cartograms</a></li></ul></ul><p> </p>"" | |||||||||||||||||||
81 | 21 | Sun, 14 Apr 2013 10:09:42 +0000 | 21 | Can visualization save the world? With Kim Rees and Jake Porway | Chat | 2 | MIXED | 1:26:59 | http://datastori.es/data-stories-21-visualization-save-the-world/ | http://datastori.es/podlove/file/141/s/feed/c/podcast/datastories-21.m4a | 00:00:00.000: Intro, welcome to our guests Kim Rees (periscopic) and Jake Porway (Datakind) | 00:01:39.601: Can data visualization save the world? | 00:04:44.666: Periscopic | 00:05:38.027: Jake & Datakind | 00:09:32.755: Visualization as a process | 00:15:17.031: How do you pick projects to work on? | 00:18:01.961: Periscopic's U.S. gun deaths visualization | 00:30:08.254: Awareness alone does not help - how you get people to action? | 00:32:57.662: On process | 00:40:12.552: Multiple truths in same data | 00:42:53.420: Responsible authorship | 00:45:19.940: Parallels between data visualization and "photo journalism"? | 00:46:12.815: Responsible data and visualization authorship ctd. | 00:50:03.411: Project votesmart | 00:51:39.036: NYT graphics jobs report | 00:53:15.204: Success stories? | 01:05:33.322: Refuse to work for potentially unethic clients? | 01:08:28.638: "The dark side of datakind" | 01:09:06.856: Back to original question :) | 01:13:18.102: Concerns in visualizing personal stories | 01:24:59.993: Wrapping it up | | 21 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/142/s/download/c/buttonlist/datastories-21.mp3">MP3 Audio<span class="size">80 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/141/s/download/c/buttonlist/datastories-21.m4a">MPEG-4 AAC Audio<span class="size">61 MB</span></a> </li> </ul><div style="clear: both"></div><p><img data-attachment-id="1524" data-permalink="http://datastori.es/data-stories-21-visualization-save-the-world/kim_headshot/" data-orig-file="http://datastori.es/wp-content/uploads/2013/04/kim_headshot.jpg" data-orig-size="175,219" data-comments-opened="0" data-image-meta="{"aperture":"9","credit":"","camera":"Canon EOS-1D Mark III","caption":"","created_timestamp":"1348242242","copyright":"","focal_length":"70","iso":"100","shutter_speed":"0.0125","title":"","orientation":"1"}" data-image-title="kim_headshot" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2013/04/kim_headshot.jpg" data-large-file="http://datastori.es/wp-content/uploads/2013/04/kim_headshot.jpg" class="alignnone size-full wp-image-1524" src="http://datastori.es/wp-content/uploads/2013/04/kim_headshot.jpg" alt="kim_headshot" width="175" height="219" /><img data-attachment-id="1523" data-permalink="http://datastori.es/data-stories-21-visualization-save-the-world/153b96c/" data-orig-file="http://datastori.es/wp-content/uploads/2013/04/153b96c.jpg" data-orig-size="200,200" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="153b96c" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2013/04/153b96c.jpg" data-large-file="http://datastori.es/wp-content/uploads/2013/04/153b96c.jpg" class="alignnone size-full wp-image-1523" src="http://datastori.es/wp-content/uploads/2013/04/153b96c.jpg" alt="153b96c" width="200" height="200" srcset="http://datastori.es/wp-content/uploads/2013/04/153b96c.jpg 200w, http://datastori.es/wp-content/uploads/2013/04/153b96c-150x150.jpg 150w" sizes="(max-width: 200px) 100vw, 200px" /></p><p>Hi all,</p><p>We have two fantastic guests to talk about using visualization for the good. We actually decided to make it even bigger and provokingly titled it: can visualization save the world?</p><p>We have on stage: Kim Rees co-founder of <a href="http://www.periscopic.com/">Periscopic</a>, a data visualization company guided by the motto: “do good with data,” and Jake Porway, founder of <a href="http://datakind.org/">Data Kind</a>, an organization that brings together data scientists and social organizations.</p><p>We discuss the challenges of working in this world of big data opportunities and the risks and potentially negative implications of using big data.</p><p><strong>Chapters</strong></p><p>00:00:00 Intro, welcome to our guests Kim Rees (Periscopic) and Jake Porway (Datakind)<br />00:01:39 Can data visualization save the world?<br />00:04:44 Periscopic<br />00:05:38 Jake & Datakind<br />00:09:32 Visualization as a process<br />00:15:17 How do you pick projects to work on?<br />00:18:01 Periscopic’s U.S. gun deaths visualization<br />00:30:08 Awareness alone does not help – how you get people to action?<br />00:32:57 On process<br />00:40:12 Multiple truths in same data<br />00:42:53 Responsible authorship<br />00:45:19 Parallels between data visualization and “photo journalism”?<br />00:46:12 Responsible data and visualization authorship ctd.<br />00:50:03 Project votesmart<br />00:51:39 NYT graphics jobs report<br />00:53:15 Success stories?<br />01:05:33 Refuse to work for potentially unethic clients?<br />01:08:28 “The dark side of datakind”<br />01:09:06 Back to original question <img src="https://s.w.org/images/core/emoji/2.2.1/72x72/1f642.png" alt="🙂" class="wp-smiley" style="height: 1em; max-height: 1em;" /><br />01:13:18 Concerns in visualizing personal stories<br />01:24:59 Wrapping it up</p><p><strong>Links</strong></p><ul><li>Periscopic’s <a href="http://www.periscopic.com/#/work/more-than-400000-stolen-years-an-examination-of-u-s-gun-murders-in-2010">Gun Murders Visualization</a></li><li>Jake’s article: “<a href="http://blogs.hbr.org/cs/2013/03/you_cant_just_hack_your_way_to.html">You Can’t Just Hack Your Way to Social Change</a>”</li><li><a href="http://blogs.hbr.org/cs/2013/04/visualization_as_process.html">Jer Thorp’s Visualization as Process Article</a></li><li>Book: <a href="http://www.amazon.com/Raw-Data-Is-Oxymoron-Infrastructures/dp/0262518287">Raw Data Is An Oxymoron</a></li><li><a href="http://www.nyc.gov/html/nypd/html/analysis_and_planning/stop_question_and_frisk_report.shtml">The Stop, Question and Frisk Data</a></li><li><a href="http://www.wnyc.org/blogs/wnyc-news-blog/2013/apr/03/kelly-stop-and-frisk/">Biases in creating data</a></li><li><a href="http://votesmart.org/">Project Votesmart</a></li><li><a href="http://nytimes.com/interactive/2012/10/05/business/economy/one-report-diverging-perspectives.html?_r=0">NYT vis of job market interpretation</a></li><li><a href="http://www.wired.com/threatlevel/2013/03/anonymous-phone-location-data/">Map of gun owners</a></li></ul><p> </p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/99-data-visualization-at-capital-one-with-kim-rees-and-steph-hay/">99 | Data Visualization at Capital One with Kim Rees and Steph Hay</a> </li> </ul>"" | |||||||||||||||||||
82 | 20 | Wed, 03 Apr 2013 00:57:49 +0000 | 20 | On Maps. With Michal Migurski. | Chat | 1 | M | 1:04:28 | http://datastori.es/data-stories-20-maps-migurski/ | http://datastori.es/podlove/file/145/s/feed/c/podcast/datastories-20.m4a | 00:00:00.000: Intro | 00:03:06.908: Our guest: Mike Migurski | 00:04:45.491: How did Mike get started with computers? | 00:06:16.581: Raving in the 90s | 00:07:02.634: The beginnings of Stamen | 00:13:49.080: Oakland Crimespotting | 00:14:58.665: A short history of online mapping | 00:17:04.053: Google maps | 00:20:19.774: Open Street Map | 00:24:31.545: Everyblock | 00:26:51.683: Oakland Crimespotting pt.2 | 00:32:42.988: Tools and frameworks - modest maps | 00:34:29.558: Polymaps | 00:36:30.378: Cloudmade | 00:38:23.786: Leaflet.js | 00:39:57.877: Mapnik | 00:43:12.063: d3.geo | 00:46:17.466: How to make geo data accessible in a better way | 00:49:56.424: Automatic labeling | 00:51:39.417: @alignedleft: What is a map tile? | 00:55:42.958: @janwillemtulp: Question on process and inspiration, future trend | 00:58:07.993: @petersonGIS: time ratio data processing vs visualization | 01:02:57.678: Wrapping it up | | 23 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/146/s/download/c/buttonlist/datastories-20.mp3">MP3 Audio<span class="size">59 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/145/s/download/c/buttonlist/datastories-20.m4a">MPEG-4 AAC Audio<span class="size">45 MB</span></a> </li> </ul><div style="clear: both"></div><p>Hi all,</p><p>In this episode we talk about maps and map technology. How it evolved and revolutionized the way we think about geography. We have <a href="http://mike.teczno.com/">Michal Migurski</a> with us! He is former technology head at <a href="http://www.stamen.com/">Stamen</a> and creator of multiple successful visualizations libraries and tools like <a href="http://modestmaps.com/">Modest Maps</a> and <a href="http://oakland.crimespotting.org/">Crimespotting</a>.</p><p><strong>Episode Chapters</strong></p><p>00:00:00 Intro<br />00:03:06 Our guest: Mike Migurski<br />00:04:45 How did Mike get started with computers?<br />00:06:16 Raving in the 90s<br />00:07:02 The beginnings of Stamen<br />00:13:49 Oakland Crimespotting<br />00:14:58 A short history of online mapping<br />00:17:04 Google maps<br />00:20:19 Open Street Map<br />00:24:31 Everyblock<br />00:26:51 Oakland Crimespotting pt.2<br />00:32:42 Tools and frameworks – modest maps<br />00:34:29 Polymaps<br />00:36:30 Cloudmade<br />00:38:23 Leaflet.js<br />00:39:57 Mapnik<br />00:43:12 d3.geo<br />00:46:17 How to make geo data accessible in a better way<br />00:49:56 Automatic labeling<br />00:51:39 @alignedleft: What is a map tile?<br />00:55:42 @janwillemtulp: Question on process and inspiration, future trend<br />00:58:07 @petersonGIS: time ratio data processing vs visualization<br />01:02:57 Wrapping it up</p><p><strong>Links</strong></p><p dir="ltr">Stamen’s Projects</p><ul><li><a href="http://www.youtube.com/watch?v=vXVbxtfJBCk">Digg Labs Visualizations</a></li><li><a href="http://oakland.crimespotting.org/">Oakland Crimespotting</a></li></ul><p dir="ltr">The Atlantic’s article on maps: <a href="http://m.theatlanticcities.com/technology/2013/03/our-12-favorite-ideas-transforming-places-we-live-open-data/5083/">12 Fresh Ideas for Transforming the Places We Live With Open Data</a></p><p>Tools and Frameworks</p><ul><li><a href="http://www.openstreetmap.org/">openstreetmaps</a></li><li><a href="http://modestmaps.com/">modestmaps</a></li><li><a href="http://unfoldingmaps.org/">unfolding</a> (like modestmaps, but for processing)</li><li><a href="http://leafletjs.com/">leaflet.js</a></li><li><a href="http://polymaps.org/">polymaps</a></li><li><a href="http://cloudmade.com/">cloudmade</a></li><li><a href="http://kartograph.org/">kartograph.js</a></li><li><a href="http://mapnik.org/">mapnik</a></li><li><a href="http://mapbox.com/">mapbox</a></li><li><a href="http://mapbox.com/tilemill/">tilemill</a></li><li><a href="http://cartodb.com/">cartodb</a></li><li><a href="https://github.com/mbostock/d3/wiki/Geo-Projections">d3.geo</a></li></ul><p dir="ltr">Recent Mike’s Projects</p><ul><li><a href="http://walking-papers.org/">Walking Papers</a></li><li><a href="http://fieldpapers.org/">Field Papers</a></li><li><a href="http://mike.teczno.com/notes/green-means-go.html">Green Means Go</a></li></ul><p>Others</p><ul><li><a href="http://moveon.org/">http://moveon.org</a></li><li><a href="http://fundraise.org/">http://fundrace.org</a></li><li><a href="http://www.everyblock.com/">http://www.everyblock.com/</a></li><li><a href="http://www.smartchicagocollaborative.org/">http://www.smartchicagocollaborative.org/</a></li><li><a href="http://gismaps.oaklandnet.com/crimewatch/">http://gismaps.oaklandnet.com/crimewatch/</a></li></ul><p>—</p><p>Lots of links! Have fun with maps <img src="https://s.w.org/images/core/emoji/2.2.1/72x72/1f642.png" alt="🙂" class="wp-smiley" style="height: 1em; max-height: 1em;" /></p>"" | |||||||||||||||||||
83 | 19 | Mon, 11 Mar 2013 12:19:50 +0000 | 19 | With Santiago Ortiz | Chat | 1 | M | 1:18:54 | http://datastori.es/episode-19-with-santiago-ortiz/ | http://datastori.es/podlove/file/149/s/feed/c/podcast/datastories-19.m4a | 00:00:00.000: Start | 00:00:01.450: Intro: our guest today: Santiago Ortiz (@moebio) | 00:01:55.658: Tapestry conference | 00:08:40.148: Santiago: how it all began: Flash, math and teaching | 00:11:34.878: Bestiario | 00:13:23.081: Impure/Quadrigram | 00:14:17.331: Freelance since 2012 | 00:17:12.576: Yay for self-inititated projects! | 00:20:56.047: Knowledge visualization | 00:25:11.960: "Santiago style" | 00:26:36.391: Client work | 00:31:18.829: Tools, frameworks, open source | 00:40:52.129: On process | 00:51:47.809: Non-information-based projects | 00:55:23.132: The role of math | 01:06:41.988: Regional differences in the data visualization scenes? | 01:17:13.939: Wrapping it up | | 17 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/150/s/download/c/buttonlist/datastories-19.mp3">MP3 Audio<span class="size">72 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/149/s/download/c/buttonlist/datastories-19.m4a">MPEG-4 AAC Audio<span class="size">56 MB</span></a> </li> </ul><div style="clear: both"></div><p><img data-attachment-id="334" data-permalink="http://datastori.es/santiago/" data-orig-file="http://datastori.es/wp-content/uploads/2013/03/santiago.png" data-orig-size="240,240" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":""}" data-image-title="santiago" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2013/03/santiago.png" data-large-file="http://datastori.es/wp-content/uploads/2013/03/santiago.png" class="alignleft size-full wp-image-334" src="http://datastori.es/wp-content/uploads/2013/03/santiago.png" alt="santiago" width="240" height="240" srcset="http://datastori.es/wp-content/uploads/2013/03/santiago.png 240w, http://datastori.es/wp-content/uploads/2013/03/santiago-150x150.png 150w" sizes="(max-width: 240px) 100vw, 240px" /></p><p>Hi Folks,</p><p>We have <a href="http://moebio.com/">Santiago Ortiz</a> with us today. Santiago has an impressive array of data visualization projects he has been pouring out during the last year and a very unique style. See for yourself in his portfolio website: <a href="http://moebio.com/">http://moebio.com/</a>. We talk about the <a href="http://www.tapestryconference.com/">Tapestry Conference</a>, mathematics, the business of data visualization and much much more. Enjoy it!</p><p><strong>Chapters</strong></p><p>00:00:00 Start<br />00:00:01 Intro: our guest today: Santiago Ortiz (@moebio)<br />00:01:55 Tapestry conference<br />00:08:40 Santiago: how it all began: Flash, math and teaching<br />00:11:34 Bestiario<br />00:13:23 Impure/Quadrigram<br />00:14:17 Freelance since 2012<br />00:17:12 Yay for self-inititated projects!<br />00:20:56 Knowledge visualization<br />00:25:11 “Santiago style”<br />00:26:36 Client work<br />00:31:18 Tools, frameworks, open source<br />00:40:52 On process<br />00:51:47 Non-information-based projects<br />00:55:23 The role of math<br />01:06:41 Regional differences in the data visualization scenes?<br />01:17:13 Wrapping it up</p><p><strong>Episode’s Links</strong></p><p><span style="text-decoration: underline;">Tapestry Conference</span><br /><a href="http://scottmccloud.com/">Scott McCloud</a><br /><a href="http://graphics.stanford.edu/~hanrahan/">Pat Hanrahan</a><br /><a href="http://nigelholmes.com/">Nigel Holmes</a><br />Enrico’s live <a href="https://docs.google.com/document/d/15NScjdF24GqQU_tjsPlizYst-Y5DtFXrfmHSlrsM1NM/edit?usp=sharing">notes from tapestry</a><br />Jonathan Corum’s <a href="http://style.org/tapestry/">slides</a></p><p><span style="text-decoration: underline;">Santiago and his work</span><br />his portfolio: <a href="http://moebio.com/">http://moebio.com/</a><br />his past company: <a href="http://www.bestiario.org/">http://www.bestiario.org/</a><br />Lostalgic (ABC’s LOST TV show): <a href="http://intuitionanalytics.com/other/lostalgic/">http://intuitionanalytics.com/other/lostalgic/</a><br />Love is patient (merging faces with voronoi shapes): <a href="http://moebio.com/loveispatient/">http://moebio.com/loveispatient/</a><br /><a href="http://moebio.com/research/faces/">http://moebio.com/research/faces/</a></p><p><span style="text-decoration: underline;">Processing library</span><br />giCenterUtils: <a href="http://gicentre.org/utils/">http://gicentre.org/utils/</a></p><p><span style="text-decoration: underline;">Vis people with math background</span><br />Jason Davies: <a href="http://www.jasondavies.com/">http://www.jasondavies.com/</a><br />Jen Lowe: <a href="http://www.datatelling.com/">http://www.datatelling.com/</a></p><p><span style="text-decoration: underline;">Hilbert Curves and Vis</span><br /><a href="http://en.wikipedia.org/wiki/Hilbert_curve">Wikipedia page on HC</a><br />Martin Wattemberg’s <a href="http://hint.fm/papers/158-wattenberg-final3.pdf">Jigsaw Maps</a><br /><a href="http://www.vis.uni-konstanz.de/mitglieder/keim/">Daniel Keim</a>’s <a href="http://www.sdml.info/library/Keim00.pdf">Pixel-Oreinted Visualizations</a></p>"" | |||||||||||||||||||
84 | 18 | Tue, 19 Feb 2013 15:52:00 +0000 | 18 | Happy Birthday, Data Stories! | Other | 0 | NA | 0:00:00 | http://datastori.es/episode-18-happy-birthday-ds/ | http://datastori.es/podlove/file/153/s/feed/c/podcast/datastories-18.m4a | 00:00:00.000: Happy Birthday Data Stories! | 00:02:19.076: On naming episodes and the Andy effect | 00:04:44.622: 01: Animated Data Kitsch | 00:06:54.567: 02: Ranting about marathons, challenges and awards | 00:09:45.267: 03: Evaluation | 00:15:11.997: 04: Malofiej | 00:17:27.720: 05: Learning data visualization with Andy Kirk | 00:21:22.893: 06: Food | 00:22:49.074: 07: Color | 00:23:25.274: 08: Interview with Jeff Heer | 00:24:51.234: 09: Bridging academia and industry | 00:25:41.315: 10: Stefanie Posavec | 00:26:49.240: 11: emoto | 00:27:29.343: 12: Alberto Cairo | 00:29:52.439: 13: visweek | 00:31:20.237: 14: Google hangout episode | 00:33:22.425: 15: Robert Kosara | 00:35:27.226: 16: 2012 review | 00:37:24.561: 17: Data Sculptures | 00:38:52.994: What's up next | | 20 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/154/s/download/c/buttonlist/datastories-18.mp3">MP3 Audio<span class="size">41 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/153/s/download/c/buttonlist/datastories-18.m4a">MPEG-4 AAC Audio<span class="size">32 MB</span></a> </li> </ul><div style="clear: both"></div><p>What can we say? One year has passed and it looks crazy we have been doing this thing for a whole year: 18 whole episodes. Thanks a lot everyone for your encouragements and numerous comments and suggestions. And big thanks to all the people who participated!</p><p>In this episode we review the whole set of posts and comment on them trying to see how they look like from a distance now that some time has passed.</p><p>If you have any suggestions on stuff you would like to see in DS in the next year LET US KNOW!</p><p>Chapters:</p><p>00:00:00 Happy Birthday Data Stories!<br />00:02:19 On naming episodes and the Andy effect<br />00:04:44 01: Animated Data Kitsch<br />00:06:54 02: Ranting about marathons, challenges and awards<br />00:09:45 03: Evaluation<br />00:15:11 04: Malofiej<br />00:17:27 05: Learning data visualization with Andy Kirk<br />00:21:22 06: Food<br />00:22:49 07: Color<br />00:23:25 08: Interview with Jeff Heer<br />00:24:51 09: Bridging academia and industry<br />00:25:41 10: Stefanie Posavec<br />00:26:49 11: emoto<br />00:27:29 12: Alberto Cairo<br />00:29:52 13: visweek<br />00:31:20 14: Google hangout episode<br />00:33:22 15: Robert Kosara<br />00:35:27 16: 2012 review<br />00:37:24 17: Data Sculptures<br />00:38:52 What’s up next</p>"" | |||||||||||||||||||
85 | 17 | Tue, 29 Jan 2013 16:23:41 +0000 | 17 | Data Sculptures | Chat | 2 | MIXED | 1:10:33 | http://datastori.es/episode17-data-sculptures/ | http://datastori.es/podlove/file/157/s/feed/c/podcast/datastories-17.m4a | 00:00:00.000: Intro | 00:01:08.693: Topic: Data Sculptures with Yvonne Jansen and Pierre Dragicevic | 00:04:01.999: Studies on legibility of physical 3D data visualizations | 00:12:45.999: Pros and cons of rapid prototyping vs. subsurface engraving | 00:16:57.999: Broader perspective: How did Pierre and Yvonne get Pierre and Yvonne's motivation, and general characterization of the field | 00:22:04.157: Their project collections at http://www.aviz.fr/Research/PassivePhysicalVisualizations and http://www.aviz.fr/Research/ActivePhysicalVisualizations | 00:27:26.137: Bertin's reorderable matrix | 00:35:00.377: Slow data | 00:37:30.773: Back to Bertin and physical manpulation of data | 00:39:04.844: Social aspects | 00:39:47.427: Future perspective | 00:41:21.912: Digital fabrication techniques | 00:49:45.960: Online services | 00:50:27.030: FabLabs | 00:54:17.100: Accessibility aspects | 00:55:33.996: Practical applications | 00:57:54.127: Shapeshifting displays and materials | 01:05:46.077: Early examples and the great books from W. Brinton | 01:09:20.607: Wrap up | | 19 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/158/s/download/c/buttonlist/datastories-17.mp3">MP3 Audio<span class="size">65 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/157/s/download/c/buttonlist/datastories-17.m4a">MPEG-4 AAC Audio<span class="size">50 MB</span></a> </li> </ul><div style="clear: both"></div><p><img data-attachment-id="1527" data-permalink="http://datastori.es/episode17-data-sculptures/8000270338_919c3ba530_o/" data-orig-file="http://datastori.es/wp-content/uploads/2013/01/8000270338_919c3ba530_o.jpg" data-orig-size="3192,2000" data-comments-opened="0" data-image-meta="{"aperture":"5.6","credit":"","camera":"Canon EOS 5D Mark II","caption":"","created_timestamp":"1229554124","copyright":"Studio NAND","focal_length":"65","iso":"250","shutter_speed":"4","title":"","orientation":"0"}" data-image-title="8000270338_919c3ba530_o" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2013/01/8000270338_919c3ba530_o-300x188.jpg" data-large-file="http://datastori.es/wp-content/uploads/2013/01/8000270338_919c3ba530_o-1024x642.jpg" class="alignnone size-large wp-image-1527" src="http://datastori.es/wp-content/uploads/2013/01/8000270338_919c3ba530_o-1024x642.jpg" alt="8000270338_919c3ba530_o" width="620" height="389" srcset="http://datastori.es/wp-content/uploads/2013/01/8000270338_919c3ba530_o-1024x642.jpg 1024w, http://datastori.es/wp-content/uploads/2013/01/8000270338_919c3ba530_o-300x188.jpg 300w, http://datastori.es/wp-content/uploads/2013/01/8000270338_919c3ba530_o-768x481.jpg 768w" sizes="(max-width: 620px) 100vw, 620px" /></p><p>Hi,</p><p>In this episode we talk about Data Sculptures, also known as Physical Visualization. We invite <a href="http://www.lri.fr/~dragice/">Pierre Dragicevic</a> and <a href="http://www.aviz.fr/jansen">Yvonne Jansen</a> (from the <a href="http://www.aviz.fr">Aviz Lab</a> at INRIA in Paris) to talk about their experiments with physical bar charts and their fantastic <a href="http://www.aviz.fr/Research/PassivePhysicalVisualizations">collections of physical visualizations</a>.</p><p>Pierre and Yvonne give several demos you can see on our recorded video. Make sure you don’t miss Pierre giving a real-time demo of Jacques Bertin’s reorderable matrix!</p><p><iframe src="http://www.youtube.com/embed/-q6Ja4IZ5Uc?rel=0" width="560" height="315" frameborder="0" allowfullscreen="allowfullscreen"></iframe></p><p>Episode Chapters</p><ul><li>00:00:00 Intro</li><li>00:01:08 Topic: Data Sculptures with Yvonne Jansen and Pierre Dragicevic</li><li>00:04:01 Studies on legibility of physical 3D data visualizations</li><li>00:12:45 Pros and cons of rapid prototyping vs. subsurface engraving</li><li>00:16:57 Broader perspective: How did Pierre and Yvonne get Pierre and Yvonne’s motivation, and general characterization of the field</li><li>00:22:04 Their project collections at: http://www.aviz.fr/Research/PassivePhysicalVisualizations and http://www.aviz.fr/Research/ActivePhysicalVisualizations</li><li>00:27:26 Bertin’s reorderable matrix</li><li>00:35:00 Slow data</li><li>00:37:30 Back to Bertin and physical manpulation of data</li><li>00:39:04 Social aspects</li><li>00:39:47 Future perspective</li><li>00:41:21 Digital fabrication techniques</li><li>00:49:45 Online services</li><li>00:50:27 FabLabs</li><li>00:54:17 Accessibility aspects</li><li>00:55:33 Practical applications</li><li>00:57:54 Shapeshifting displays and materials</li><li>01:05:46 Early examples and the great books from W. Brinton</li><li>01:09:20 Wrap up</li></ul><p>Links:</p><ul><li>(Forgotten) <a href="http://openlibrary.org/books/OL7083829M/Graphic_presentation.">Brinton’s book on Graphic Presentation</a></li><li><a href="http://www.makerbot.com/blog/2011/02/21/makerbot-introduces-water-soluble-3d-printer-filament/">Compostable and water-soluble 3d printing</a><a href="http://www.makerbot.com/blog/2011/02/21/makerbot-introduces-water-soluble-3d-printer-filament/"> </a></li><li><a href="http://wiki.ultimaker.com/PLA">PLA Printing</a> (most environmentally friendly material made from corn starch or sugar)</li><li><a href="http://tangible.media.mit.edu/project/recompose/">MIT Shape Displays</a></li><li><a href="http://www.cs.cmu.edu/~claytronics/">Programmable matter</a> (with <a href="http://www.cs.cmu.edu/~claytronics/movies/carDesign_12_vo_H264.mov">demo</a>)<b id="internal-source-marker_0.5697979433462024"><br /></b></li></ul> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/80-indexical-visualization-with-dietmar-offenhuber/">80 | Indexical Visualization with Dietmar Offenhuber</a> </li> </ul>"" | |||||||||||||||||||
86 | 16 | Mon, 07 Jan 2013 10:13:18 +0000 | 16 | What Was Big in 2012 and What Is Coming in 2013 | Year Review | 3 | M | 1:06:10 | http://datastori.es/episode-16-what-was-big-in-2012-and-what-is-coming-in-2013/ | http://datastori.es/podlove/file/161/s/feed/c/podcast/datastories-16.m4a | 00:00:00.000: Intro | 00:01:22.131: Our guests: Andrew Vande Moere from http//infosthetics.com | 00:02:07.589: Andy Kirk from visualisingdata.com | 00:03:07.157: Bryan Connor from the Why Axis | 00:03:51.332: What was big in 2012 and what is coming 2013 | 00:04:05.127: More education and training | 00:05:05.012: Technical issues... | 00:06:05.210: More general interest in learning data visualization | 00:07:01.710: Mike Bostock and d3 | 00:07:55.588: Alberto Cairo's online infographics course | 00:09:06.928: Mike Bostock and d3 again :) | 00:10:32.489: Integrated print interactive workflows | 00:11:28.084: Democratization | 00:14:58.610: Academic trends? | 00:15:40.170: Visualization as a tool for communication | 00:21:02.446: The human touch | 00:22:39.572: Storytelling: people are actually doing it now | 00:25:10.342: Woops - there he goes... | 00:25:28.487: Tools for storytelling | 00:26:30.457: So-called "network problems" | 00:27:07.222: Snow Fall by NYT | 00:31:49.232: More tools for storytelling and the return of "multimedia" | 00:33:03.258: More case studies and behind the scenes reports | 00:35:11.846: Less blogging in 2012? | 00:42:46.994: Santiago Ortiz — @moebio | 00:43:41.382: emoto | 00:44:58.570: Real-time data visualization | 00:49:28.041: Reaching wider audiences | 00:50:14.329: Conferences, marathons, competitions | 00:54:22.589: Simon Scarr | 00:55:15.415: Wishes for 2013 | 01:01:05.150: Guest wishes for 2013 | | 32 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/162/s/download/c/buttonlist/datastories-16.mp3">MP3 Audio<span class="size">61 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/161/s/download/c/buttonlist/datastories-16.m4a">MPEG-4 AAC Audio<span class="size">47 MB</span></a> </li> </ul><div style="clear: both"></div><p>Happy New Year Friends!</p><p>We invited a few experts in a Google Hangout to discuss what was big in 2012 and what will happen in 2013. We have Andrew Vande Moere from <a href="http://infosthetics.com/">Infosthetics</a>, Andy Kirk from <a href="http://visualisingdata.com/">Visualisingdata</a> and Bryan Connor from <a href="http://thewhyaxis.info/">The Why Axis</a>.</p><p><iframe src="http://www.youtube.com/embed/t9jtfxgoaMs" width="560" height="315" frameborder="0"></iframe></p><p><strong>Chapters Breakdown:</strong></p><p>00:00:00 Intro<br />00:01:22 Our guests: Andrew Vande Moere from http//infosthetics.com<br />00:02:07 Andy Kirk from visualisingdata.com<br />00:03:07 Bryan Connor from the Why Axis<br />00:03:51 What was big in 2012 and what is coming 2013<br />00:04:05 More education and training<br />00:05:05 Technical issues…<br />00:06:05 More general interest in learning data visualization<br />00:07:01 Mike Bostock and d3<br />00:07:55 Alberto Cairo’s online infographics course<br />00:09:06 Mike Bostock and d3 again <img src="https://s.w.org/images/core/emoji/2.2.1/72x72/1f642.png" alt="🙂" class="wp-smiley" style="height: 1em; max-height: 1em;" /><br />00:10:32 Integrated print <-> interactive workflows<br />00:11:28 Democratization<br />00:14:58 Academic trends?<br />00:15:40 Visualization as a tool for communication<br />00:21:02 The human touch<br />00:22:39 Storytelling: people are actually doing it now<br />00:25:10 Woops – there he goes…<br />00:25:28 Tools for storytelling<br />00:26:30 So-called “network problems”<br />00:27:07 Snow Fall by NYT<br />00:31:49 More tools for storytelling and the return of “multimedia”<br />00:33:03 More case studies and behind the scenes reports<br />00:35:11 Less blogging in 2012?<br />00:42:46 Santiago Ortiz — @moebio<br />00:43:41 emoto<br />00:44:58 Real-time data visualization<br />00:49:28 Reaching wider audiences<br />00:50:14 Conferences, marathons, competitions<br />00:54:22 Simon Scarr<br />00:55:15 Wishes for 2013<br />01:01:05 Guest wishes for 2013</p><p><strong>Mentioned <strong>Links</strong>:</strong></p><p>d3<br /><a href="http://d3js.org/">http://d3js.org</a><br /><a href="http://bost.ocks.org/mike/">http://bost.ocks.org/mike/</a></p><p>Democratization of infographics<br /><a href="http://www.re.vu/">http://www.re.vu</a><br /><a href="http://visualize.me/">http://visualize.me</a><br />http://visual.l<a href="http://venngage.com/">y</a><br /><a href="http://venngage.com/">http://venngage.com</a><br /><a href="https://www.vizify.com/">https://www.vizify.com/</a><br /><a href="http://www.easel.ly/">http://www.easel.ly/</a><br /><a href="http://infogr.am/">http://infogr.am/</a></p><p>Visualization as a tool for communication<br /><a href="http://www.aviz.fr/bayes">http://www.aviz.fr/bayes</a> – visualization for bayesian reasoning</p><p>The human touch<br /><a href="http://openaccess.city.ac.uk/1274/">http://openaccess.city.ac.uk/1274/</a> – sketchy rendering<br /><a href="http://nathaliemiebach.com/">http://nathaliemiebach.com</a><br /><a href="http://itsbeenreal.co.uk/">http://itsbeenreal.co.uk</a><br /><a href="http://www.densitydesign.org/">http://www.densitydesign.org</a></p><p>Narratives<br /><a href="https://popcorn.webmaker.org/">https://popcorn.webmaker.org</a><br /><a href="http://ejfox.github.com/sStory/">sStory</a> by EJ Fox</p><p>Snow Fall<br /><a href="http://www.nytimes.com/projects/2012/snow-fall/#/?part=tunnel-creek">http://www.nytimes.com/projects/2012/snow-fall/</a></p><p>Less blogging?<br /><a href="http://www.visualcomplexity.com/vc/blog/?p=644">http://www.visualcomplexity.com/vc/blog/?p=644</a></p><p>Santiago Ortiz<br /><a href="http://moebio.com/">http://moebio.com</a></p><p>emoto<br /><a href="http://blog.emoto2012.org/">http://blog.emoto2012.org</a></p><p>Realtime data visualization<br /><a href="http://hint.fm/wind/">http://hint.fm/wind/</a></p><p>Reaching wider audiences<br /><a href="http://www.guardian.co.uk/world/interactive/2012/may/08/gay-rights-united-states">http://www.guardian.co.uk/world/interactive/2012/may/08/gay-rights-united-states</a></p><p>Conferences<br />visualized, eyeo, visualizing marathon, information is beautiful award…</p><p>Simon Scarr<br /><a href="https://twitter.com/SimonScarr">https://twitter.com/SimonScarr</a></p><p>—</p><p>Have fun and Happy New Year!!!</p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/89-data-vis-around-the-world-in-2016/">89 | Data Vis Around the World in 2016</a> </li> </ul>"" | |||||||||||||||||||
87 | 15 | Thu, 06 Dec 2012 17:54:25 +0000 | 15 | With Robert Kosara | Chat | 1 | M | 1:17:36 | http://datastori.es/episode-15-with-robert-kosara/ | http://datastori.es/podlove/file/165/s/feed/c/podcast/datastories-15.m4a | 0 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/166/s/download/c/buttonlist/datastories-15.mp3">MP3 Audio<span class="size">71 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/165/s/download/c/buttonlist/datastories-15.m4a">MPEG-4 AAC Audio<span class="size">55 MB</span></a> </li> </ul><div style="clear: both"></div><p><a href="http://datastori.es/wp-content/uploads/2012/12/robert_kosara.jpg"><img data-attachment-id="277" data-permalink="http://datastori.es/robert_kosara/" data-orig-file="http://datastori.es/wp-content/uploads/2012/12/robert_kosara.jpg" data-orig-size="200,200" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":""}" data-image-title="robert_kosara" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2012/12/robert_kosara.jpg" data-large-file="http://datastori.es/wp-content/uploads/2012/12/robert_kosara.jpg" class="alignleft size-full wp-image-277" title="robert_kosara" src="http://datastori.es/wp-content/uploads/2012/12/robert_kosara.jpg" alt="" width="200" height="200" srcset="http://datastori.es/wp-content/uploads/2012/12/robert_kosara.jpg 200w, http://datastori.es/wp-content/uploads/2012/12/robert_kosara-150x150.jpg 150w" sizes="(max-width: 200px) 100vw, 200px" /></a></p><p>Hi all,</p><p>We got <a href="http://kosara.net/">Robert Kosara</a> on Data Stories for this episode. Robert is the editor of <a href="http://eagereyes.org/">eagereyes.org</a>, one of the most respected and well-known data visualization blogs in the Internet. He is known for his controversial and informative posts and his “academic” style (some people say :)).</p><p>But Roberts, as he says in the show, wears many hats. He was a Professor of Computer Science at UNC Charlotte until recently when he surprisingly moved to Tableau after being tenured.</p><p>In the show we talk about his choice and many other things: vis research, blogging, Tableau, etc. See the episode breakdown below.</p><p>And, as usual, have fun!</p><p>Enrico & Moritz</p><p>—</p><p>00:00:00 Enrico and Moritz catching up<br />00:04:22 Today’s guest: Robert Kosara<br />00:05:23 eagereyes.org and blogging in general<br />00:08:14 Enrico’s blog<br />00:09:46 Robert’s research themes<br />00:11:35 Blur as a retinal variable?<br />00:13:13 Interdisciplinarity in infovis research<br />00:14:31 How Robert got started<br />00:19:04 Early years of eagereyes.org and abandoned plans for the site<br />00:21:59 “lines in the sand”<br />00:27:04 What will the future bring for eagereyes?<br />00:30:58 State of visualization blogging<br />00:33:16 Blogging and academic careers<br />00:36:17 Openness and sharing ideas<br />00:43:04 The real story! Robert’s move to Tableau<br />00:51:22 Researching: storytelling with data<br />00:55:40 Visualization in wider communication contexts and workflows<br />00:59:13 Tableau for Mac?<br />01:01:36 A few ideas for improvement<br />01:03:12 Clevelandgate<br />01:08:16 Future for word clouds as a final slide for powerpoint presentations?<br />01:10:14 Robert’s influences?<br />01:13:38 How much work was it to release Parallel Sets, and was it worth it?<br />01:16:13 Wrapping it up</p>"" | ||||||||||||||||||||
88 | 14 | Tue, 13 Nov 2012 21:43:00 +0000 | 14 | Data Stories Hangout | Other | NA | NA | 1:05:55 | http://datastori.es/episode-14-data-stories-hangout/ | http://datastori.es/podlove/file/169/s/feed/c/podcast/datastories-14.m4a | 0 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/170/s/download/c/buttonlist/datastories-14.mp3">MP3 Audio<span class="size">60 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/169/s/download/c/buttonlist/datastories-14.m4a">MPEG-4 AAC Audio<span class="size">38 MB</span></a> </li> </ul><div style="clear: both"></div><p><img title="Screen Shot 2012-11-13 at 22.49.00" src="http://datastori.es/wp-content/uploads/2012/11/Screen-Shot-2012-11-13-at-22.49.00.png" alt="" width="448" height="142" /></p><p>Hi there,</p><p>We just finished recording the hangout. 10 people joined it and some more followed the stream off-line. If you wanted to participate and you could not — we are sorry but there is a limit of maximum 10 people imposed by Google.</p><p>We really enjoyed the hangout and it was a fantastic experiment full of interesting questions and comments.</p><p>Among others, we had Kim Rees from <a href="http://periscopic.com">Periscopic</a>, Benjamin Wiederkehr from <a href="http://interactivethings.com">Interactive Things</a>, <a href="http://moebio.com">Santiago Ortiz</a>, <a href="http://blog.sspboyd.ca">Stephen Boyd</a>, <a href="http://knapek.org">Miska Knapek</a>, Wes Grubbs from <a href="http://pitchinteractive.com">Pitch Interactive</a>, Karen Doore from <a href="http://www.utdallas.edu">UT Dallas</a>, <a href="http://www.yuriweb.com">Yuri Engelhardt</a> and <a href="http://vallandingham.me">Jim Vallandingham</a> on the show.. Quite a mixture!</p><p>Unfortunately, as with any experiment, something can go wrong and it went wrong: we totally screwed up the video part by having <a href="http://benjaminwiederkehr.com/">Benjamin Wiederkehr</a> in focus all the time instead of switching between the participants. For this reason we turned down the video part and kept the audio. The gist is still there!</p><p>We’ll hopefully get it right the next time <img src="https://s.w.org/images/core/emoji/2.2.1/72x72/1f642.png" alt="🙂" class="wp-smiley" style="height: 1em; max-height: 1em;" /></p><p>Enrico & Mo.</p>"" | ||||||||||||||||||||
89 | 13 | Tue, 23 Oct 2012 14:41:28 +0000 | 13 | from Visweek 2012 | Conference | 2 | M | 0:48:16 | http://datastori.es/episode-13-from-visweek-2012/ | http://datastori.es/podlove/file/173/s/feed/c/podcast/datastories-13.m4a | 0 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/174/s/download/c/buttonlist/datastories-13.mp3">MP3 Audio<span class="size">44 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/173/s/download/c/buttonlist/datastories-13.m4a">MPEG-4 AAC Audio<span class="size">36 MB</span></a> </li> </ul><div style="clear: both"></div><p>Hey Folks!</p><p>I managed to grab a couple of buddies at VisWeek and record a (low audio quality – sorry) episode with some on-the-spot comments. <a href="http://andrew.ticle.com/">Andrew Vande Moere</a> (<a href="http://infosthetics.com/">infosthetics.com</a>) and <a href="http://www.jeromecukier.net/">Jerome Cukier</a> joined me to have some fun and indulge in some gossiping.</p><p>A few papers we mention in the episode (may be not complete):</p><ul><li><a href="http://steveharoz.com/research/attention/papers/Haroz_Whitney_2012_InfoVis.pdf">How Capacity Limits of Attention Influence Information Visualization Effectiveness</a>. <em>[Best Paper award]. </em>Steve Haroz, David Whitney.</li><li><a href="http://andrew.ticle.com/publications/infovis12.pdf">Evaluating the Effect of Style in Information Visualization</a>. Vande Moere et al.</li><li><a href="http://www.aviz.fr/phys">Investigating Physical Visualizations</a>. Yvonne Jansen et al.</li><li><a href="http://openaccess.city.ac.uk/1274/">Sketchy Rendering for Information Visualization</a>. Jo Wood et al.</li></ul><p>Have fun! And hey … big big thank yous to all the data stories listeners who stopped me to say hi. I loved it!</p><p>-Enrico.</p><p>P.S. Moritz was not there and lots of people asked me about him. What can I do? Just let him know how much you want to see him (he will hate me for writing this ;))!</p>"" | ||||||||||||||||||||
90 | 12 | Mon, 24 Sep 2012 15:48:23 +0000 | 12 | Alberto Cairo and “The Functional Art” | Chat | 1 | M | 1:07:21 | http://datastori.es/episode-12-alberto-cairo-and-the-functional-art/ | http://datastori.es/podlove/file/177/s/feed/c/podcast/datastories-12.m4a | 0 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/178/s/download/c/buttonlist/datastories-12.mp3">MP3 Audio<span class="size">62 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/177/s/download/c/buttonlist/datastories-12.m4a">MPEG-4 AAC Audio<span class="size">43 MB</span></a> </li> </ul><div style="clear: both"></div><p><a href="http://datastori.es/wp-content/uploads/2012/09/alberto-cairo.jpeg"><img data-attachment-id="235" data-permalink="http://datastori.es/alberto-cairo/" data-orig-file="http://datastori.es/wp-content/uploads/2012/09/alberto-cairo.jpeg" data-orig-size="600,400" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":""}" data-image-title="alberto-cairo" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2012/09/alberto-cairo-300x200.jpeg" data-large-file="http://datastori.es/wp-content/uploads/2012/09/alberto-cairo.jpeg" class="alignleft wp-image-235 size-full" title="alberto-cairo" src="http://datastori.es/wp-content/uploads/2012/09/alberto-cairo.jpeg" alt="" width="600" height="400" srcset="http://datastori.es/wp-content/uploads/2012/09/alberto-cairo.jpeg 600w, http://datastori.es/wp-content/uploads/2012/09/alberto-cairo-300x200.jpeg 300w, http://datastori.es/wp-content/uploads/2012/09/alberto-cairo-450x300.jpeg 450w" sizes="(max-width: 600px) 100vw, 600px" /></a>Hi, we have Alberto Cairo on the show for Episode #12! If you don’t know who Alberto is, well… it’s your fault! Check <a href="http://www.visualopolis.com/en/who-we-are.html">his web site</a> first. He has a fantastic book out on Infographics and Visualization called “<a href="http://amzn.to/OPrgPh">The Functional Art</a>,” which can directly go in your shelf between the Tuftes and the Fews.</p><p>We talk about the book and many many other things. Alberto is so talkative and deep that we could have recorded for another 3 or 4 hours. Lots, lots of fun! We loved it.</p><p>—<br />Episode breakdown:</p><p>00:00:00 Data Stories Number Many<br />00:03:29 Special guest today: Alberto Cairo<br />00:05:30 Background: Journalism and Teaching<br />00:13:01 Book: The functional art<br />00:19:25 Low-tech visualization<br />00:23:38 Differences between data visualization and information graphics / data journalism<br />00:31:51 How to work under practical constraints in a newsroom<br />00:39:11 International news graphics scene<br />00:42:37 Experimentalism vs conservatism<br />00:46:52 Connect print and online<br />00:48:17 Flash! (ah, the good times)<br />00:49:40 Back to “The Functional Art”<br />00:53:21 The visualization wheel<br />00:57:59 Use of multiple representations<br />01:04:02 Power of annotations<br />01:05:44 Wrapping it up</p>"" | ||||||||||||||||||||
91 | 11 | Thu, 13 Sep 2012 10:30:16 +0000 | 11 | emoto (with Stephan Thiel from Studio NAND) | Project | 1 | M | 1:06:09 | http://datastori.es/data-stories-11-emoto-with-stephan-thiel/ | http://datastori.es/podlove/file/181/s/feed/c/podcast/datastories-11.m4a | 0 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/182/s/download/c/buttonlist/datastories-11.mp3">MP3 Audio<span class="size">61 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/181/s/download/c/buttonlist/datastories-11.m4a">MPEG-4 AAC Audio<span class="size">46 MB</span></a> </li> </ul><div style="clear: both"></div><p><a href="http://datastori.es/wp-content/uploads/2012/09/emoto.png"><img data-attachment-id="223" data-permalink="http://datastori.es/emoto/" data-orig-file="http://datastori.es/wp-content/uploads/2012/09/emoto.png" data-orig-size="400,218" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":""}" data-image-title="emoto" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2012/09/emoto-300x163.png" data-large-file="http://datastori.es/wp-content/uploads/2012/09/emoto.png" class="alignleft wp-image-223 size-full" title="emoto" src="http://datastori.es/wp-content/uploads/2012/09/emoto.png" alt="" width="400" height="218" srcset="http://datastori.es/wp-content/uploads/2012/09/emoto.png 400w, http://datastori.es/wp-content/uploads/2012/09/emoto-300x163.png 300w" sizes="(max-width: 400px) 100vw, 400px" /></a></p><p>Hi Folks,</p><p>In this episode we talk about <a href="http://www.emoto2012.org/">emoto</a>, the project on visualizing the sentiment of the Olympic Games in London 2012.</p><p>Since Moritz was one of the principal designers and developers behind the project, we thought: “hey, why not?!”</p><p>And we have a special guest! <a href="http://www.stephanthiel.com/">Stephan Thiel</a> from <a href="http://www.nand.io/">Studio NAND</a> joined us to share his own view and experience with the project.</p><p>Make sure to give a look to the <a href="http://www.emoto2012.org/">emoto web site</a> and the <a href="http://blog.emoto2012.org/">accompanying blog</a> before listening to the podcast if you can, this will help you following our discussion … just in case you are not familiar with the project yet … just in case.</p><p>00:00:00 Intro – catching up<br />00:04:44 emoto – with our special guest Stephan Thiel from Studio NAND<br />00:06:58 How it all started<br />00:09:32 The team<br />00:13:19 Live sentiment visualization<br />00:17:44 How to test a real-time system for a one-off event?<br />00:21:09 The processing timeline<br />00:24:56 Sentiment analysis<br />00:27:06 Topic detection – supervised vs. unsupervised<br />00:28:17 The other project parts – data blog and data sculpture<br />00:31:00 Origami visualization<br />00:38:10 Color scale<br />00:42:34 Message stream view<br />00:49:00 “Sentigraphs”<br />00:54:47 Data sculpture<br />01:00:30 What’s next</p><p>Have fun!</p><p>Enrico & Moritz.</p><p>P.S. Feedback always welcome.</p>"" | ||||||||||||||||||||
92 | 10 | Mon, 13 Aug 2012 23:46:23 +0000 | 10 | Hand crafted data (with Stefanie Posavec) | Chat | 1 | F | 1:05:13 | http://datastori.es/data-stories-10-hand-crafted-data-with-stefanie-posavec/ | http://datastori.es/podlove/file/185/s/feed/c/podcast/datastories-10.m4a | 0 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/186/s/download/c/buttonlist/datastories-10.mp3">MP3 Audio<span class="size">60 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/185/s/download/c/buttonlist/datastories-10.m4a">MPEG-4 AAC Audio<span class="size">43 MB</span></a> </li> </ul><div style="clear: both"></div><p><a href="http://datastori.es/wp-content/uploads/2012/08/pospage2web.jpeg"><img data-attachment-id="215" data-permalink="http://datastori.es/pospage2web/" data-orig-file="http://datastori.es/wp-content/uploads/2012/08/pospage2web.jpeg" data-orig-size="312,290" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":""}" data-image-title="hand-crafted vis" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2012/08/pospage2web-300x278.jpeg" data-large-file="http://datastori.es/wp-content/uploads/2012/08/pospage2web.jpeg" class="alignleft wp-image-215 size-full" title="hand-crafted vis" src="http://datastori.es/wp-content/uploads/2012/08/pospage2web.jpeg" alt="" width="312" height="290" srcset="http://datastori.es/wp-content/uploads/2012/08/pospage2web.jpeg 312w, http://datastori.es/wp-content/uploads/2012/08/pospage2web-300x278.jpeg 300w" sizes="(max-width: 312px) 100vw, 312px" /></a>Hi Everyone,</p><p>It’s been a long time since our last episode. Sorry, sorry, sorry! Moritz was/is busy with <a href="http://blog.emoto2012.org/">Emoto</a> and the London Olympics, Enrico is moving (with the whole family) to New York City.</p><p>In this episode we have the honor to talk with “data illustrator” <a href="http://itsbeenreal.co.uk/">Stefanie Posavec</a>. Stefanie makes fascinating hand-crafted visualization like <a href="http://itsbeenreal.co.uk/index.php?/wwwords/literary-organism/">Literary Organism</a> and <a href="http://itsbeenreal.co.uk/index.php?/on-going/about/">(En)tangled Word Bank</a>. Most of her work is done by hand, like the <a href="http://itsbeenreal.co.uk/index.php?/wwwords/highlighted-bookposter/">highlighted text of Jack Kerouac’s On The Road</a>, and this is so intriguing that we wanted to know more about this process.</p><p>You can also see <a href="http://vimeo.com/channels/eyeo2012/46304381">her recent Eyeo Festival 2012 talk</a> to know more about how she works.</p><p>There’s a lot of food for thoughts in this episode and, sure enough, lots of fun! Here is the breakdown:</p><ul><li>00:00:00 Intro</li><li>00:00:53 Olympic Effects – the emoto project (http://emoto2012.org)</li><li>00:04:42 Enrico will move to NYC!</li><li>00:07:08 Special guest today: Stefanie Posavec</li><li>00:09:05 Literary Organism</li><li>00:11:25 Hand-made! (art/design/craft?)</li><li>00:14:36 Data Illustration</li><li>00:19:12 Critique of data visualization, and the right framing of your work</li><li>00:26:43 Tips for novices</li><li>00:32:08 Manual effort creates “weight”?</li><li>00:35:35 Work process – Measuring Kraftwerk and other projects</li><li>00:45:27 Data analysis aspects</li><li>00:47:50 Code vs manual layout – should Stef learn to code?</li><li>00:55:40 More hand made data illustration projects</li><li>00:58:10 Data cuisine workshop</li><li>00:59:01 Skype problems</li><li>01:00:13 Prints!</li></ul><p>Have fun!</p><p>Enrico & Mo.</p>"" | ||||||||||||||||||||
93 | 9 | Fri, 13 Jul 2012 11:33:26 +0000 | 9 | Bridging academia and industry with Danyel Fisher | Chat | 1 | M | 1:15:46 | http://datastori.es/episode-9-bridging-academia-and-industry-with-danyel-fisher/ | http://datastori.es/podlove/file/189/s/feed/c/podcast/datastories-09.m4a | 0 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/190/s/download/c/buttonlist/datastories-09.mp3">MP3 Audio<span class="size">69 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/189/s/download/c/buttonlist/datastories-09.m4a">MPEG-4 AAC Audio<span class="size">55 MB</span></a> </li> </ul><div style="clear: both"></div><p>Hi there!</p><p>In this episode we talk about <em>bridging academia and industry</em>. We touched upon this issue many times in the past so we decided to record a whole a special issue on that.</p><p>To help us with it we invited <a href="http://research.microsoft.com/en-us/people/danyelf/">Danyel Fisher</a>, a renown Information Visualization researcher from <a href="http://research.microsoft.com/en-us/default.aspx">Microsoft Research</a>. This year Danyel is chairing the newly established <a href="http://visweek.org/visweek/2012/info/call-participation/industry-involvement">Industry Track at VisWeek 2012</a>, the leading conference in Visualization, and his job is to attract more people from industry to this traditionally pretty academic conference.</p><p>We discuss existing practices, gaps, and ways to bridge them. Here is the breakdown of the episode:</p><p>[00:00:00] Our special guest today: Danyel Fisher<br />[00:04:00] Relations between research and project departments at Microsoft<br />[00:12:39] Existing gaps between between research and practitioners<br />[00:16:09] Transfer of algorithms, e.g. Voronoi treemaps<br />[00:18:40] Visweek industry track<br />[00:32:03] Affordability of big conferences for individuals, lowering the threshold<br />[00:38:20] Live transmission from visweek?<br />[00:39:21] How can non-academic conferences attract more researchers?<br />[00:43:09] Researchers and their presence on the web<br />[00:50:30] Are papers an adequate publication format for visualization research?<br />[00:52:39] What else can we do?<br />[00:54:27] How to get designers to read papers<br />[00:59:28] Text books: Colin Ware, Tufte, Beautiful Visualization<br />[01:05:52] Danyel’s current research: Interaction with Big Data<br />[01:12:12] Final pleading for visweek and potentially exciting encounters with Moritz in an elevator</p><p>Have fun!</p> <hr/><h3>Related episodes</h3> <ul> <li> <a href="http://datastori.es/81-the-hustle-with-mahir-yavuz-and-jan-willem-tulp/">81 | The Hustle with Mahir Yavuz and Jan Willem Tulp</a> </li> <li> <a href="http://datastori.es/96-innovation-from-research-with-jarke-van-wijk/">96 | Innovation from Research with Jarke Van Wijk</a> </li> </ul>"" | ||||||||||||||||||||
94 | 8 | Thu, 28 Jun 2012 16:06:24 +0000 | 8 | Interview with Jeff Heer | Chat | 1 | M | 1:16:11 | http://datastori.es/episode-8-interview-jeff-heer/ | http://datastori.es/podlove/file/193/s/feed/c/podcast/datastories-08.m4a | 0 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/194/s/download/c/buttonlist/datastories-08.mp3">MP3 Audio<span class="size">70 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/193/s/download/c/buttonlist/datastories-08.m4a">MPEG-4 AAC Audio<span class="size">55 MB</span></a> </li> </ul><div style="clear: both"></div><p><a href="http://datastori.es/wp-content/uploads/2012/06/heer1.png"><img data-attachment-id="191" data-permalink="http://datastori.es/heer-2/" data-orig-file="http://datastori.es/wp-content/uploads/2012/06/heer1.png" data-orig-size="189,263" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":""}" data-image-title="heer" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2012/06/heer1.png" data-large-file="http://datastori.es/wp-content/uploads/2012/06/heer1.png" class=" wp-image-191 alignleft" title="heer" src="http://datastori.es/wp-content/uploads/2012/06/heer1.png" alt="" width="119" height="166" /></a>Hi Folks,</p><p>We are raising the bar here!</p><p>In this new episode we have <a href="http://hci.stanford.edu/jheer/">Jeff Heer</a>, Assistant Professor at Stanford and creator of 4 (!) data visualization toolkits/languages (<a href="http://prefuse.org/">Prefuse</a>, <a href="http://flare.prefuse.org/">Flare</a>, <a href="http://mbostock.github.com/protovis/">Protovis</a>, <a href="http://d3js.org/">D3</a>).</p><p>Jeff is a very well regarded researcher in the area of visualization, user interfaces and human-computer interaction. If you don’t know him yet we strongly encourage you to give a look to <a href="http://hci.stanford.edu/jheer/projects/">his projects web page</a>, you’ll find lots of cool stuff there like his studies on <a href="http://vis.stanford.edu/papers/crowdsourcing-graphical-perception">Graphical Perception</a> and <a href="http://vis.stanford.edu/papers/wrangler">Wrangler</a>, a data pre-processing tool.</p><p>Talking with Jeff has been great and very inspiring. We talk about past, present and future of visualization; everything dressed with LOLs, a bit of gossip and … one scoop at the end of the podcast!</p><p>Have fun,<br />Enrico & Mo</p><p><strong>Episode Chapters</strong></p><p>[00:00:00] Introduction: Today’s special guest – Jeff Heer<br />[00:03:12] Investigating complete data interaction flows, and how visualization can help<br />[00:06:47] Data wrangling<br />[00:09:50] Prefuse, flare, protovis, d3<br />[00:10:44] prefuse<br />[00:14:52] flare<br />[00:17:05] protovis<br />[00:22:17] d3<br />[00:28:52] Comparing the different paradigms<br />[00:35:06] What’s next?<br />[00:38:33] Flexible tools for data exploration<br />[00:41:42] How to bridge research and practice?<br />[00:49:44] Function vs. aesthetics?<br />[00:53:33] Is there a future for high-end customized visualization?<br />[00:56:02] Why is visualization so popular right now?<br />[01:01:18] The future of visualization<br />[01:14:06] Super secret start-up in formation!</p>"" | ||||||||||||||||||||
95 | 7 | Thu, 21 Jun 2012 22:00:46 +0000 | 7 | Color (feat. Gregor Aisch) | Chat | 1 | M | 0:59:34 | http://datastori.es/episode-7-color-feat-gregor-aisch/ | http://datastori.es/podlove/file/197/s/feed/c/podcast/datastories-07.m4a | 0 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/198/s/download/c/buttonlist/datastories-07.mp3">MP3 Audio<span class="size">55 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/197/s/download/c/buttonlist/datastories-07.m4a">MPEG-4 AAC Audio<span class="size">43 MB</span></a> </li> </ul><div style="clear: both"></div><p><a title="https://github.com/gka/chroma.js" href="https://github.com/gka/chroma.js" target="_blank"><img data-attachment-id="175" data-permalink="http://datastori.es/chromajs-1/" data-orig-file="http://datastori.es/wp-content/uploads/2012/06/chromajs-1.png" data-orig-size="497,524" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":""}" data-image-title="moritzstefaner" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2012/06/chromajs-1-284x300.png" data-large-file="http://datastori.es/wp-content/uploads/2012/06/chromajs-1.png" class="size-full wp-image-175" title="moritzstefaner" src="http://datastori.es/wp-content/uploads/2012/06/chromajs-1.png" alt="moritzstefaner" width="497" height="524" srcset="http://datastori.es/wp-content/uploads/2012/06/chromajs-1.png 497w, http://datastori.es/wp-content/uploads/2012/06/chromajs-1-284x300.png 284w" sizes="(max-width: 497px) 100vw, 497px" /></a></p><p>Folks,</p><p>Here is another great episode … honestly I think it’s one of the best we have ever recorded (-Enrico). We talk about color, and color you know … it’s huge. To get some help we invited Gregor Aisch from <a href="http://driven-by-data.net/">Driven By Data</a> and asked him to talk about his experience with color and his super useful library <a href="http://driven-by-data.net/about/chromajs/#/0">chroma.js</a>.</p><p>We have to apologize for a number of things. The episode came out late, the quality is not super high and we have no transcribed chapters this time. No worries, this won’t happen again (or too often) and we have no intention to neglect DS. Moritz has been traveling and taking days off in beautiful Greece and Enrico was just having another baby.</p><p><strong>Update:</strong> Useful color tools suggested by some of you</p><ul><li>http://www.colourlovers.com/</li><li>http://kuler.adobe.com/ (love this!)</li><li>http://colorusage.arc.nasa.gov/ColorTool.php</li></ul><p><strong>Update:</strong> Here is the chapter list! We just could not let such a great episode go without proper chapter marks…</p><p>[00:00] Intro: Today with Gregor Aisch from http://driven-by-data.net<br />[02:04] Computational Visualistics<br />[03:32] Today’s topic: Color<br />[03:46] Family drama interlude<br />[04:08] Colors: Powerful, but tricky to get right<br />[04:50] Color perception<br />[09:55] Color spaces<br />[15:39] Colors for categorical data<br />[17:20] What’s the maximum number of categorical colors to be used?<br />[19:40] Equidistance<br />[20:15] Colorbrewer<br />[23:13] chrome.js<br />[25:56] Colors for continuous data<br />[26:41] Mo’s six word advice<br />[27:04] Color for continuous data – usually not advisable<br />[30:14] Rainbow scales<br />[30:48] …and how to avoid them<br />[33:17] Color is difficult<br />[35:07] More tips on how to do it right<br />[37:29] Is there a method behind ugly visualization in science?<br />[38:58] Paper: Evaluation of artery visualizations<br />[42:39] How to deal with skewed distributions<br />[46:19] Learn about the data, highlight the interesting insights<br />[48:12] Redundant encoding and interaction between visual variables<br />[51:13] Use for secondary dimensions, or small number of categories<br />[52:57] Mo’s tips<br />[54:04] Don’t forget the legend<br />[54:34] Gregor’s tips<br />[56:07] Above all, do no harm.<br />[56:43] Enrico’s tips<br />[58:27] Wrapping it up</p><p>And stay tuned for another episode soon! We will have <a href="http://hci.stanford.edu/jheer/">Jeff Heer</a> on board! If you have any questions for him add a comment below or send us an email (see address in the right).</p><p>Take care and have fun!</p><p>Enrico and Moritz.</p>"" | ||||||||||||||||||||
96 | 6 | Mon, 21 May 2012 20:06:24 +0000 | 6 | On Food | Chat | 0 | NA | 0:41:06 | http://datastori.es/epsiode-6-on-food/ | http://datastori.es/podlove/file/201/s/feed/c/podcast/datastories-06.m4a | 0 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/202/s/download/c/buttonlist/datastories-06.mp3">MP3 Audio<span class="size">38 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/201/s/download/c/buttonlist/datastories-06.m4a">MPEG-4 AAC Audio<span class="size">30 MB</span></a> </li> </ul><div style="clear: both"></div><p>Hi Folks!</p><p>In this episode we talk about food. Food? Yes, food. Moritz recently created the <a href="http://moritz.stefaner.eu/projects/musli-ingredient-network/">Müsli Ingredient Network</a>, a visualization of ingredient combinations in müsli, and we took this as an opportunity to talk about one of our favorite topics other than visualization, that is, food. But hey … there is a lot to visualize about food! Listen to the episode and you’ll see it.</p><p>Visualizations discussed in detail:</p><table><tbody><tr><td><p><figure id="attachment_156" style="width: 710px" class="wp-caption alignnone"><a href="http://datastori.es/wp-content/uploads/2012/05/mymuesli_00.jpg"><img data-attachment-id="156" data-permalink="http://datastori.es/mymuesli_00/" data-orig-file="http://datastori.es/wp-content/uploads/2012/05/mymuesli_00.jpg" data-orig-size="710,600" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":""}" data-image-title="moritzstefaner" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2012/05/mymuesli_00-300x253.jpg" data-large-file="http://datastori.es/wp-content/uploads/2012/05/mymuesli_00.jpg" class="wp-image-156 size-full" title="mymuesli_00" src="http://datastori.es/wp-content/uploads/2012/05/mymuesli_00.jpg" alt="" width="710" height="600" srcset="http://datastori.es/wp-content/uploads/2012/05/mymuesli_00.jpg 710w, http://datastori.es/wp-content/uploads/2012/05/mymuesli_00-300x253.jpg 300w, http://datastori.es/wp-content/uploads/2012/05/mymuesli_00-355x300.jpg 355w" sizes="(max-width: 710px) 100vw, 710px" /></a><figcaption class="wp-caption-text">Mo’s Müsli Network</figcaption></figure></td><td><p><figure id="attachment_155" style="width: 150px" class="wp-caption alignnone"><a href="http://datastori.es/wp-content/uploads/2012/05/mymuesli_matrix.jpg"><img data-attachment-id="155" data-permalink="http://datastori.es/mymuesli_matrix/" data-orig-file="http://datastori.es/wp-content/uploads/2012/05/mymuesli_matrix.jpg" data-orig-size="710,710" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":""}" data-image-title="moritzstefaner" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2012/05/mymuesli_matrix-300x300.jpg" data-large-file="http://datastori.es/wp-content/uploads/2012/05/mymuesli_matrix.jpg" class="size-thumbnail wp-image-155" title="mymuesli_matrix" src="http://datastori.es/wp-content/uploads/2012/05/mymuesli_matrix-150x150.jpg" alt="" width="150" height="150" srcset="http://datastori.es/wp-content/uploads/2012/05/mymuesli_matrix-150x150.jpg 150w, http://datastori.es/wp-content/uploads/2012/05/mymuesli_matrix-300x300.jpg 300w, http://datastori.es/wp-content/uploads/2012/05/mymuesli_matrix.jpg 710w" sizes="(max-width: 150px) 100vw, 150px" /></a><figcaption class="wp-caption-text">Mo’s Müsli Matrix</figcaption></figure></td><td><p><figure id="attachment_154" style="width: 150px" class="wp-caption alignnone"><a href="http://datastori.es/wp-content/uploads/2012/05/srep00196-f2.jpg"><img data-attachment-id="154" data-permalink="http://datastori.es/srep00196-f2/" data-orig-file="http://datastori.es/wp-content/uploads/2012/05/srep00196-f2.jpg" data-orig-size="946,597" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":""}" data-image-title="moritzstefaner" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2012/05/srep00196-f2-300x189.jpg" data-large-file="http://datastori.es/wp-content/uploads/2012/05/srep00196-f2.jpg" class="size-thumbnail wp-image-154" title="srep00196-f2" src="http://datastori.es/wp-content/uploads/2012/05/srep00196-f2-150x150.jpg" alt="" width="150" height="150" /></a><figcaption class="wp-caption-text">Barabasi’s Flavor Network</figcaption></figure></td></tr></tbody></table><p>Episode breakdown:</p><p>[00:00] Intro<br />[02:18] Today’s topic – food!<br />[02:46] Moritz’s Muesli ingredient network<br />[10:13] Barabasi’s food ingredient analysis<br />[16:20] Are scientific papers the best way to communicate research?<br />[18:19] Food pairing website<br />[19:23] Visualizing food 40 ways<br />[21:02] How America spends food and drink spending per city<br />[22:49] Use food to represent data<br />[24:32] Personal data<br />[24:55] Nutrition data<br />[28:26] Self nutrition data<br />[30:25] Maragrida’s email: Data sexuals<br />[31:15] Big data – overrated?<br />[33:09] Hourly webcam shots<br />[34:57] Manually collected data<br />[36:20] Should you learn to code? (Sakshita’s comment)<br />[39:55] Wrapping it up</p><p>Links and Images:</p><ul><li><a href="http://www.nature.com/srep/2011/111215/srep00196/fig_tab/srep00196_F2.html">Barabasi’s Food Ingredient Analysis</a></li><li><a href="http://moritz.stefaner.eu/projects/musli-ingredient-network/">Moritz’s Muesli Network</a></li><li><a href="http://www.foodpairing.com/en/explore/">Food Pairing Tool</a></li><li><a href="http://www.visualizing.org/stories/visualizing-food-40-ways">Visualizing Food 40 Ways</a> (the one w/ french fries bar charts :-))</li><li><a href="http://datavisualization.ch/opinions/how-we-visualized-america%E2%80%99s-food-and-drink-spending/">America’s Food and Drink Spending</a> (by Interactive Things)</li><li><a href="http://nutritiondata.self.com/tools/compare/welcome?returnto=/tools/compare">Self Nutrition Data</a> (food database with query visualization tools)</li><li><a href="http://ndb.nal.usda.gov/">USDA National Nutrient Database</a></li></ul><p>—</p><p>As usual your feedback is more than welcome. And let us know if you intend to do some visualization with food data. Have fun!</p>"" | ||||||||||||||||||||
97 | 5 | Tue, 24 Apr 2012 21:16:07 +0000 | 5 | How To Learn Data Visualization (with Andy Kirk) | Chat | 1 | M | 1:10:38 | http://datastori.es/episode-5-how-to-learn-data-visualization-with-andy-kirk/ | http://datastori.es/podlove/file/205/s/feed/c/podcast/datastories-05.m4a | 0 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/206/s/download/c/buttonlist/datastories-05.mp3">MP3 Audio<span class="size">81 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/205/s/download/c/buttonlist/datastories-05.m4a">MPEG-4 AAC Audio<span class="size">66 MB</span></a> </li> </ul><div style="clear: both"></div><p>Hi Folks! We love Andy so much that we decided to keep him with us for another episode (well, actually we hope somebody will eventually pay the ransom). This time we talk about “learning visualization”, which is the perfect topic for him given his experience with his <a href="http://www.visualisingdata.com/index.php/training/">training visualization courses</a>.</p><p>We received many requests from people who wanted to know how to learn visualization in the past. So, here we are with a more than one hour long podcast with the three of us talking about it. We just hope you’ll find the time to listen to the entire episode. If not, the breakdown below can help you chunking it into a few sessions. Have fun!</p><p><strong>Breakdown of the episode</strong></p><p><em>Introductory thoughts</em><br />00:00:00 Intro, Andy Kirk (http://visualisingdata.com) is again our guest<br />00:01:15 Topic: How to learn visualization<br />00:01:56 Multidisciplinarity<br />00:06:31 Reports from teaching practice<br />00:09:21 Theory and practice – rules vs, free exploration<br />00:12:24 Do you need to start with a question?</p><p><em>Basic skills</em><br />00:15:43 What is the basic skill set to learn?<br />00:16:15 Visual variables<br />00:18:53 Statistics and data analytics<br />00:19:32 Gestalt laws<br />00:20:32 The journalistic sense – what is an interesting angle?<br />00:22:19 Position is everything<br />00:23:38 Color is difficult</p><p><em>Process and tools</em><br />00:25:05 Tools<br />00:26:18 Data types and repertoire<br />00:27:15 Metaphors<br />00:28:52 Interaction<br />00:31:27 The role of design<br />00:32:57 How to get started?</p><p><em>Learning options and books</em><br />00:39:46 Everybody should have a datavis course!<br />00:41:32 How to learn it yourself? Books, lectures, …<br />00:42:39 Stephen Few: Show me the numbers<br />00:43:20 Andy’s first book, and mo is the cinderella of datavis<br />00:43:52 Readings in Information Visualization: Using vision to think<br />00:45:09 Edward Tufte: Visual display of quantitative information<br />00:46:05 Ware: Information Visualization – Perception for Design<br />00:47:42 Misc.<br />00:49:23 Our scoop!<br />00:52:03 Google for “information visualization lecture pdf”</p><p><em>The craft of visualization design</em><br />00:53:43 Now that you know everything – how to do it in practice?<br />00:55:01 DIY vs. template-based tools<br />00:57:01 Do you need to learn how to program? Yes, yep, yes, yeah. Me too.<br />00:58:36 Tools<br />01:00:17 Finding data<br />01:02:28 Put it out there<br />01:04:08 The pathetic misery that is creating data visualizations</p><p><em>Conclusion</em><br />01:05:52 Trying to wrap it up<br />01:07:13 see conference – and see+<br />01:08:44 Trying to wrap it up – again!</p><p><strong>Resources and Links</strong></p><ul><li><a href="http://www.visualisingdata.com/index.php/resources/">visualisingdata’s resource paper</a> (including books)</li><li>fellinlovewithdata’s data visualization beginner’s toolkit: <a href="http://fellinlovewithdata.com/guides/data-vis-beginners-toolkit-1">books</a> and <a href="http://fellinlovewithdata.com/guides/data-vis-beginners-toolkit-2">tools</a></li><li>“<a href="http://storify.com/smfrogers/making-a-map-together">making a map together</a>“, perfecting a visualization from the guardian’s data blog</li><li>Ben Shneiderman’s <a href="http://www.infovis-wiki.net/index.php/Visual_Information-Seeking_Mantra">Visual Information Seeking Mantra</a> (overview first, …)</li><li>Lakoff’s <a href="http://theliterarylink.com/metaphors.html">metaphors we live by</a> (if you need metaphors to use in vis)</li><li>New notable vis books:<ul><li>Noah Illinsky’s <a href="http://www.amazon.com/Designing-Data-Visualizations-Noah-Iliinsky/dp/1449312284/ref=sr_1_fkmr0_1?s=books&ie=UTF8&qid=1334861965&sr=1-1-fkmr0">Designing Data Visualizations</a></li><li>Nathan Yau’s <a href="http://www.amazon.com/Visualize-This-FlowingData-Visualization-Statistics/dp/0470944889/ref=lp_B004S83IUE_1_1?ie=UTF8&qid=1334862023&sr=1-1">Visualize This</a></li><li>Tamara Munzner’s <a href="http://www.cs.ubc.ca/~tmm/courses/533-11/book/">Information Visualization: Principles, Methods, and Practice</a> (early incomplete draft)</li></ul></li><li><a href="http://thewhyaxis.info/">The Why Axis</a>: vis criticism blog</li></ul><p>—</p><p>That’s all folks. Let us know how you like it and feel free to ask more questions if you have.</p>"" | ||||||||||||||||||||
98 | 4 | Fri, 30 Mar 2012 12:02:58 +0000 | 4 | Malofiej 20 (with Andy Kirk) | Conference | 1 | M | 1:09:37 | http://datastori.es/episode-4-malofiej-20-with-andy-kirk/ | http://datastori.es/podlove/file/209/s/feed/c/podcast/datastories-04.m4a | 0 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/210/s/download/c/buttonlist/datastories-04.mp3">MP3 Audio<span class="size">80 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/209/s/download/c/buttonlist/datastories-04.m4a">MPEG-4 AAC Audio<span class="size">81 MB</span></a> </li> </ul><div style="clear: both"></div><p>We have our first guest on the show! <a href="http://visualisingdata.com">Andy Kirk</a> and Moritz just came back from <a href="http://malofiej20.com">Malofiej 20</a>, the Infographic World Summit, and we used the chance to discuss our impressions of the event — the conference, the awards, the workshops and the general vibe.</p><p><img data-attachment-id="114" data-permalink="http://datastori.es/p1040946/" data-orig-file="http://datastori.es/wp-content/uploads/2012/03/P1040946.jpg" data-orig-size="1837,1139" data-comments-opened="1" data-image-meta="{"aperture":"6.3","credit":"","camera":"DMC-LX3","caption":"","created_timestamp":"1332257751","copyright":"","focal_length":"5.1","iso":"80","shutter_speed":"0.00125","title":""}" data-image-title="moritzstefaner" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2012/03/P1040946-300x186.jpg" data-large-file="http://datastori.es/wp-content/uploads/2012/03/P1040946-1024x634.jpg" class="alignnone size-large wp-image-114" title="P1040946" src="http://datastori.es/wp-content/uploads/2012/03/P1040946-1024x634.jpg" alt="" width="584" height="361" srcset="http://datastori.es/wp-content/uploads/2012/03/P1040946-1024x634.jpg 1024w, http://datastori.es/wp-content/uploads/2012/03/P1040946-300x186.jpg 300w, http://datastori.es/wp-content/uploads/2012/03/P1040946-483x300.jpg 483w" sizes="(max-width: 584px) 100vw, 584px" /></p><p><strong>Breakdown of the episode</strong></p><p>[00:00:00] Intro and welcome to our guest Andy “Not McCandless” Kirk from <a href="http://visualisingdata.com">visualisingdata.com<br /></a>[00:02:31] <a href="http://www.malofiej20.com/">Malofiej</a>: what is it, how did we there and some history<br />[00:07:20] Pamplona lifestyle<br />[00:08:42] <a href="http://en.wikipedia.org/wiki/Stockholm_syndrome">Stockholm syndrome</a> or best friends forever?<br />[00:10:08] <a href="http://www.malofiej20.com/malofiej-world-summit-program/">Conference talks</a> in short<br />[00:10:23] <a href="http://www.peltzer.com.ar/">Gonzalo Peltzer</a><br />[00:12:12] <a href="http://infosthetics.com">Andrew Vande Moere</a><br />[00:14:02] <a href="http://moritz.stefaner.eu">Moritz Stefaner </a><a href="http://speakerdeck.com/u/moritzstefaner/p/omg-its-all-connected">(slides)</a><a href="http://moritz.stefaner.eu"><br /></a>[00:16:13] <a href="http://visualisingdata.com">Andy “Big Data” Kirk </a><a href="http://www.visualisingdata.com/index.php/2012/03/slides-from-my-malofiej-talk/">(slides)</a><a href="http://visualisingdata.com"><br /></a>[00:23:00] <a href="http://sheilapontis.wordpress.com/">Sheila Pontis<br /></a>[00:25:15] <a href="http://www.bryanchristiedesign.com/">Bryan Christie<br /></a>[00:27:39] <a href="http://www.guardian.co.uk/profile/simonrogers">Simon Rogers</a><br />[00:28:47] <a href="http://eagerey.es">Robert Kosara</a><br />[00:30:44] <a href="http://www.thefunctionalart.com/">Alberto Cairo</a><br />[00:31:59] <a href="http://zeit.de">Anne Gerdes</a>, <a href="http://www.ncoenenberg.de/">Nora Coenenberg</a><br />[00:33:42] <a href="http://nigelholmes.com/">Nigel Holmes</a><br />[00:35:20] <a href="http://maps.grammata.com/">Matthew Bloch</a><br />[00:37:15] <a href="http://www.nationalgeographic.com">Ginny Mason</a><br />[00:39:14] <a href="http://www.carldetorres.com/">Carl DeTorres</a><br />[00:41:34] <a href="http://www.jaimeserra-archivos.com/">Jaime Serra</a><br />[00:44:17] <a href="http://www.pecanha.org/">Sergio Pecanha</a><br />[00:45:50] <a href="http://www.linkedin.com/in/mariotascon">Mario Tascon</a> <a href="https://twitter.com/#!/mtascon">(@mtascon)</a><br />[00:46:43] The awards<br /><a href="http://www.malofiej20.com/wp-content/uploads/2012/03/M20-Awards-Premios2.pdf">Winner list (pdf)<br /></a><a href="http://www.snd.org/2012/03/malofiej-20-winners-the-jury-talks-about-the-gold-medal-work/">Gold medals with Jury remarks<br /></a><a href="http://www.colorful-data.net/m20-online-winners/">All online winners with links [colorful-data.net]</a></p><p>[00:49:49] <a href="http://www.nytimes.com/">New York Times</a> dominates<br />[00:51:22] Best of show: Guantanamo Detainees<br /><a href="http://13pt.com/projects/nyt110425/">Print piece</a> (and some <a href="http://style.org/lines/">background info</a>)<br /><a href="http://projects.nytimes.com/guantanamo/">Online</a></p><p>[00:53:49] New York Times again<br />[00:58:17] <a href="http://ultimosegundo.ig.com.br/brasil/as-manobras-os-avioes-e-os-pilotos-da-esquadrilha-da-fumaca/n1597437857605.html">Internet Group do Brasil</a><br />[00:58:49] Resumé<br />[01:03:02] What is an information graphic, after all?<br /><a href="http://www.nytimes.com/interactive/2011/05/23/world/africa/images-of-the-devastation-on-misurata-main-road.html">Images of the Devastation Along Misurata’s Main Road</a><br /><a href="http://ngm.nationalgeographic.com/2011/08/malapa-fossils/fischman-text">Part Ape, Part Human</a></p><p>[01:05:25] We should all submit our online works<br />[01:06:27] We just can’t finish</p><p> </p><p><strong>The jury + speaker crowd</strong></p><p><a href="http://datastori.es/wp-content/uploads/2012/03/558979_394230960589506_265445446801392_1599703_2083765178_n.jpg"><img data-attachment-id="119" data-permalink="http://datastori.es/558979_394230960589506_265445446801392_1599703_2083765178_n/" data-orig-file="http://datastori.es/wp-content/uploads/2012/03/558979_394230960589506_265445446801392_1599703_2083765178_n.jpg" data-orig-size="960,630" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":""}" data-image-title="moritzstefaner" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2012/03/558979_394230960589506_265445446801392_1599703_2083765178_n-300x196.jpg" data-large-file="http://datastori.es/wp-content/uploads/2012/03/558979_394230960589506_265445446801392_1599703_2083765178_n.jpg" class="alignnone size-full wp-image-119" title="558979_394230960589506_265445446801392_1599703_2083765178_n" src="http://datastori.es/wp-content/uploads/2012/03/558979_394230960589506_265445446801392_1599703_2083765178_n.jpg" alt="" width="960" height="630" srcset="http://datastori.es/wp-content/uploads/2012/03/558979_394230960589506_265445446801392_1599703_2083765178_n.jpg 960w, http://datastori.es/wp-content/uploads/2012/03/558979_394230960589506_265445446801392_1599703_2083765178_n-300x196.jpg 300w, http://datastori.es/wp-content/uploads/2012/03/558979_394230960589506_265445446801392_1599703_2083765178_n-457x300.jpg 457w" sizes="(max-width: 960px) 100vw, 960px" /></a></p><p><strong>More on Malofiej 20</strong></p><div><a href="http://www.snd.org/2012/03/twenty-five-infographics-lessons-from-malofiej-20-5/">25 lessons learned</a></div><div><a href="http://bryanchristieblog.blogspot.de/2012/03/initial-thoughts-on-malofiej20.html">Bryan Christie’s initial thoughts</a>, and <a href="http://bryanchristieblog.blogspot.de/2012/03/trouble-with-re-entry.html">more thoughts</a></div><div><a href="http://eagereyes.org/journalism/malofiej-20">Robert Kosara’s perspective </a></div><div><a href="http://www.visualisingdata.com/index.php/2012/03/personal-reflections-on-malofiej-20/">Andy Kirk’s reflections</a></div><div></div>"" | ||||||||||||||||||||
99 | 3 | Thu, 15 Mar 2012 20:18:07 +0000 | 3 | How do you evaluate visualization? | Chat | 0 | NA | 0:48:23 | http://datastori.es/episode-3-vis-evaluation/ | http://datastori.es/podlove/file/213/s/feed/c/podcast/datastories-03.m4a | 0 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/214/s/download/c/buttonlist/datastories-03.mp3">MP3 Audio<span class="size">66 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/213/s/download/c/buttonlist/datastories-03.m4a">MPEG-4 AAC Audio<span class="size">67 MB</span></a> </li> </ul><div style="clear: both"></div><p>Hi there, we made it to the third episode (a bit late though, Moritz was travelling to SXSW).</p><p>In this episode we first answer to some of the questions we received and then we move on to the main topic: how do you evaluate visualization? We have been discussing some contests in episode #2 and thought evaluation is really a key issue there.</p><p><strong>Breakdown of the episode</strong></p><p>[00:00] Intro<br />[01:34] Listener question: Terms and conditions in competitions<br />[03:46] Listener question: Connect research and practitioners<br />[07:43] Listener question: How to stay objective about your own work?<br />[10:23] Listener question: Do we criticize each other?<br />[11:15] Listener question: How to introduce business people to benefits of visualization beyond Excel?<br />[13:58] News: Visualizing sprint<br />[15:54] News: Kartograph<br />[19:40] SxSW Panel: Intent and Impact: How Visualization Makes a Change<br />[21:36] Quality criteria and evaluating information visualizations: traditional academic approach<br />[28:08] Evaluation beyond simple, clear-cut tasks<br />[33:13] Enrico admits his secret love of David MacCandless<br />[33:58] Andrew Vande Moere and Helen Purchase: On the role of design in information visualization<br />[35:00] Truth and Beauty or: “I know it when I see it”<br />[38:36] Data politics and importance of how the end product came about<br />[40:36] Tamara Munzner’s nested model for visualization evaluation and design<br />[44:25] Code of ethics<br />[45:59] Wrap up and outlook</p><p><strong>Links and images</strong></p><ul><li><a href="http://sxsw.com">SxSW</a></li><li><a href="http://www.visualizing.org/sprint/global-water-experiment">Visualizing.org sprint</a></li><li><a href="http://Kartograph.org">Kartograph</a></li><li><a href="http://sxsw.interactivethings.com/">SxSW panel: Intent and Impact</a></li><li><a href="http://www.win.tue.nl/~dholten/papers/bundles_infovis.pdf">Force-Directed Edge Bundling for Graph Visualization</a><a href="http://datastori.es/wp-content/uploads/2012/03/edge-bundling.png"><img data-attachment-id="90" data-permalink="http://datastori.es/edge-bundling/" data-orig-file="http://datastori.es/wp-content/uploads/2012/03/edge-bundling.png" data-orig-size="691,358" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":""}" data-image-title="moritzstefaner" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2012/03/edge-bundling-300x155.png" data-large-file="http://datastori.es/wp-content/uploads/2012/03/edge-bundling.png" class="alignnone wp-image-90 size-full" title="edge-bundling" src="http://datastori.es/wp-content/uploads/2012/03/edge-bundling.png" alt="" width="691" height="358" srcset="http://datastori.es/wp-content/uploads/2012/03/edge-bundling.png 691w, http://datastori.es/wp-content/uploads/2012/03/edge-bundling-300x155.png 300w, http://datastori.es/wp-content/uploads/2012/03/edge-bundling-500x259.png 500w" sizes="(max-width: 691px) 100vw, 691px" /></a></li><li><a href="http://eagereyes.org/blog/2011/visualization-is-growing-up">Hippocratic Oath</a> (see towards the end of the post)</li><li><a href="http://blog.visual.ly/a-code-of-ethics-for-data-visualization-professionals/">A Code of Ethics for Data Visualization Professionals</a></li></ul><p><strong>Research papers mentioned in the episode</strong></p><ul><li><a href="http://ivi.sagepub.com/content/10/4/356.full.pdf">On the role of design in information visualization</a>. Andrew Vande Moere and Helen Purchase.</li><li><a href="http://infovis.cs.vt.edu/oldsite/papers/TVCG-insight.pdf">An Insight-Based Methodology for Evaluating Bioinformatics Visualizations</a>. Purvi Saraiya, Chris North, and Karen Duca.</li><li><a href="http://www.cs.ubc.ca/labs/imager/tr/2009/NestedModel/NestedModel.pdf">A nested process model for visualization design and validation</a>. Tamara Munzner.</li></ul><p>—</p><p>Have fun and, as usual, let us know what you think!</p>"" | ||||||||||||||||||||
100 | 2 | Mon, 27 Feb 2012 09:49:17 +0000 | 2 | Visualization Contests, Marathons, Challenges, Awards, Etc. | Chat | 0 | NA | 0:39:44 | http://datastori.es/episode-2-vis-contests/ | http://datastori.es/podlove/file/217/s/feed/c/podcast/datastories-02.m4a | 0 | ""<ul class="episode_download_list"> <li>Download:</li> <li> <a href="http://datastori.es/podlove/file/218/s/download/c/buttonlist/datastories-02.mp3">MP3 Audio<span class="size">55 MB</span></a> </li> <li> <a href="http://datastori.es/podlove/file/217/s/download/c/buttonlist/datastories-02.m4a">MPEG-4 AAC Audio<span class="size">55 MB</span></a> </li> </ul><div style="clear: both"></div><p>Hi Folks, the second episode is out!</p><p>First and foremost: thanks a lot for your kind and useful feedback! It’s fantastic to know you are there listening to us. In a way, it’s magic.</p><p>A big thank also to to David Schroeder of <a href="http://www.pilotvibe.com/">pilotvibe.com</a> for creating a jingle for Data Stories. Yes, we have a jingle now!</p><p>—</p><p>In this episode we talk mainly about contest, awards, marathons, etc. (but don’t miss Mo’s rant at the end :-)).</p><p>Here is the episode chapters breakdown:<br />[00:27] Recent activities<br />[01:56] Feedback for first episode<br />[05:22] Title music by Dave Schroeder from <a href="http://www.pilotvibe.com/">pilotvibe.com</a><br />[05:43] Visualizing.org marathon grand prize<br />[09:13] Types of contests and awards<br />[11:28] NSF visualization award has no category for interactive vis<br />[12:28] Academic contests tradition<br />[13:45] VAST Challenge<br />[21:05] Information is beautiful awards<br />[22:15] Lines in the sand<br />[24:23] Information is beautiful awards pt. 2<br />[25:19] Our favorite entry: “Spotlight of profitability”<br />[31:55] Wrapping up the contests<br />[33:07] Mo’s rant on outrageous RFPs<br />[35:33] Outlook</p><p><strong>Visualizations Discussed in Detail</strong><br />Some of you voiced the need to have more to see before listening to the episode. Here are the main visuals we discuss in details (click on the images to have a higher resolution version).</p><p><a href="http://www.visualizing.org/visualizations/e-cube-librium">E-Cube-Librium</a> – Visualizing Marathon 2011 Grand Prize Winner<br />(see how it works: <a href="http://invent.ge/ecube-how">http://invent.ge/ecube-how</a>)</p><p><a href="http://datastori.es/wp-content/uploads/2012/02/e-cube-librium.png"><img data-attachment-id="68" data-permalink="http://datastori.es/e-cube-librium/" data-orig-file="http://datastori.es/wp-content/uploads/2012/02/e-cube-librium.png" data-orig-size="634,504" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":""}" data-image-title="moritzstefaner" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2012/02/e-cube-librium-300x238.png" data-large-file="http://datastori.es/wp-content/uploads/2012/02/e-cube-librium.png" class="alignnone wp-image-68 size-full" title="E-Cube-Librium" src="http://datastori.es/wp-content/uploads/2012/02/e-cube-librium.png" alt="e-cube-librium" width="634" height="504" srcset="http://datastori.es/wp-content/uploads/2012/02/e-cube-librium.png 634w, http://datastori.es/wp-content/uploads/2012/02/e-cube-librium-300x238.png 300w, http://datastori.es/wp-content/uploads/2012/02/e-cube-librium-377x300.png 377w" sizes="(max-width: 634px) 100vw, 634px" /></a></p><p><a href="http://bit.ly/wMWLmV">Spotlight of Profitability</a> (see 2nd entry in the list) – Information is Beautiful Awards<br />(Our favorite entry for IBA)</p><p><a href="http://datastori.es/wp-content/uploads/2012/02/SPOTLIGHT-ON-PROFITABILITY_Krisztina-Szucs.png"><img data-attachment-id="69" data-permalink="http://datastori.es/spotlight-on-profitability_krisztina-szucs/" data-orig-file="http://datastori.es/wp-content/uploads/2012/02/SPOTLIGHT-ON-PROFITABILITY_Krisztina-Szucs.png" data-orig-size="1604,2403" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":""}" data-image-title="moritzstefaner" data-image-description="" data-medium-file="http://datastori.es/wp-content/uploads/2012/02/SPOTLIGHT-ON-PROFITABILITY_Krisztina-Szucs-200x300.png" data-large-file="http://datastori.es/wp-content/uploads/2012/02/SPOTLIGHT-ON-PROFITABILITY_Krisztina-Szucs-683x1024.png" class="alignnone size-medium wp-image-69" title="SPOTLIGHT-ON-PROFITABILITY" src="http://datastori.es/wp-content/uploads/2012/02/SPOTLIGHT-ON-PROFITABILITY_Krisztina-Szucs-200x300.png" alt="SPOTLIGHT-ON-PROFITABILITY" width="200" height="300" srcset="http://datastori.es/wp-content/uploads/2012/02/SPOTLIGHT-ON-PROFITABILITY_Krisztina-Szucs-200x300.png 200w, http://datastori.es/wp-content/uploads/2012/02/SPOTLIGHT-ON-PROFITABILITY_Krisztina-Szucs-683x1024.png 683w" sizes="(max-width: 200px) 100vw, 200px" /></a></p><p><strong>Contests Mentioned in the Episode</strong></p><ul><li><a href="http://www.nsf.gov/news/special_reports/scivis/challenge.jsp">NSF Challenge</a></li><li><a href="http://hcil.cs.umd.edu/localphp/hcil/vast11/">VAST Challenge</a></li><li><a href="http://www.informationisbeautifulawards.com/">Information is Beautiful Awards</a></li><li><a href="http://www.visualizing.org/marathon2011">Visualizing Marathon</a></li></ul><p>—</p><p>As usual, let us know what you think. Criticism is welcome.</p>"" |