Interactive Data Visualization
Case and Design Studies
http://romain.vuillemot.net/
@romsson
Case studies
CASE STUDY: TRADE DATA
REAL-WORLD DATAVIZ BUILDING
R&D Team
* Front-end�* Back-end�* Designer�* Product Manager�* DataViz Researcher
Experts
* Director�* Researchers (+10)�* Students�* Journalists
Users
* +10K hits / days�* Book�* Press (FT, NyTimes, ..)�* Twitter�* Other social networks
DATAVIZ “UNIVERSE” http://atlas.cid.harvard.edu/
WEBSITE�* Widgets�* Select year �* Select country�* Filter by category�* Aggregate�* Full text search�* Data and images export�* Tooltips�* Multi-browser�* Open Source https://github.com/cid-harvard/
SPINOFF http://datlascolombia.com/
Real-Time Data
Real-Time Data
“Visual Sedimentation”. Samuel Huron, Romain Vuillemot, Jean-Daniel Fekete. InfoVis '13 (http://www.visualsedimentation.org/)
Real-Time Data
“Visual Sedimentation”. Samuel Huron, Romain Vuillemot, Jean-Daniel Fekete. InfoVis '13 (http://www.visualsedimentation.org/)
logs
tweets
Complex Spatio-Temporal Data
Complex Spatio-Temporal Data
Complex Spatio-Temporal Data
Charles Perin, Romain Vuillemot, Jean Daniel Fekete. “SoccerStories: A Kick-off for Soccer Visual Analysis.” InfoVis 2013. (http://charlesperin.net/demo/soccerstories/)
Complex Spatio-Temporal Data
Charles Perin, Romain Vuillemot, Jean Daniel Fekete. “SoccerStories: A Kick-off for Soccer Visual Analysis.” InfoVis 2013. (http://charlesperin.net/demo/soccerstories/)
CASE STUDY: INTERACTIVE SCATTERPLOT MATRIX
CASE STUDY: INTERACTIVE SCATTERPLOT MATRIX
Données ensemblistes
+12 ensembles?�quantification des intersections ?
3 ensembles
5 ensembles
“UpSet: Visualization of Intersecting Sets”.
Alexander Lex, Nils Gehlenborg, Hendrik Strobelt, Romain Vuillemot, Hanspeter Pfister. InfoVis '14.
“UpSet: Visualization of Intersecting Sets”.
Alexander Lex, Nils Gehlenborg, Hendrik Strobelt, Romain Vuillemot, Hanspeter Pfister. InfoVis '14.
Visualisation des 2k intersections
Support de 26 tâches d’exploration d’ensembles
Bangladesh
Cambodge
...
CASE STUDY: LAYOUTS
PAGE DIVISIONS: EXAMPLES
* A - MAIN VIEW�* B - OVERVIEW�* C - SELECTIONS��+ titles, legends and descriptions
B
C
C
C
A
PAGE DIVISIONS: EXAMPLES
* A - OVERVIEW (DIMENSIONS)�* B - OVERVIEW (INTERSECTIONS)�* C - DETAILS (QUANTIFICATION)�* D - PARAMETERS / OPTIONS�* E - DETAILS (ITEMS, ..)�+ titles, legends and descriptions
A
C
C
C
C
C
C
...
B
B
B
B
B
B
...
...
...
E
D
PAGE LAYOUTS PROCESS
* Start with the page format → A4, Web screen, responsive
* Ratio / proportions → 4/3, 16/9, ..
* Visualization perimeter → full page, embed, overflow (scrolling)
* Number of views → coordinated, combination with text/videos
* Page interactivity → links to other page, scrolly-telling
*** -> STICK TO IT
User studies
Données temporelles: À Table! (CHI13)
27
“À Table! Improving Temporal Navigation in Soccer Ranking Tables”.
Charles Perin, Romain Vuillemot, Jean-Daniel Fekete. CHI 2014.
besoins
existant
Données temporelles: À Table! (CHI13)
28
“À Table! Improving Temporal Navigation in Soccer Ranking Tables”.
Charles Perin, Romain Vuillemot, Jean-Daniel Fekete. CHI 2014. https://github.com/INRIA/atable
Données temporelles: Manipulation Directe (CHI15)
29
”Investigating the Direct Manipulation of Ranking Tables”.
Romain Vuillemot, Charles Perin. CHI Note’15. http://romain.vuillemot.net/publications/chi15-direct-manipulation-ranking-tables/
Données temporelles: Manipulation Directe (CHI15)
30
”Investigating the Direct Manipulation of Ranking Tables”.
Romain Vuillemot, Charles Perin. CHI Note’15. http://romain.vuillemot.net/publications/chi15-direct-manipulation-ranking-tables/
Design studies
�Munzner, Tamara. "A nested model for visualization design and validation." IEEE transactions on visualization and computer graphics 15.6 (2009): 921-928.
Summary https://www.cs.ubc.ca/~tmm/talks/iv09/nestedmodel.pdf
31
Empirical study
35 data analysts, 25 organizations, 15 sectors
��������
Kandel, Sean, et al. "Enterprise data analysis and visualization: An interview study." IEEE Transactions on Visualization and Computer Graphics 18.12 (2012): 2917-2926. (pdf)
Empirical study
Joe Hellerstein “Data wrangling” BERKELEY & Trifacta (pdf)