DEAR DATA: DATA VISUALIZATION DONE DIFFERENTLY
Presenters:
Nancy Avila
Gwenevere Caouette
NM Tech Students, Challenge Alum
Data Visualization - What is it?
The representation of data through the use of graphics, charts, plots, and infographics, to communicate complex data relationships that make patterns in the data easy to understand.
Visualizations you may know
There are more data visualizations that use using size, shape, time and other relationships..
This one shows the first 36 tweets after an earthquake.
This visualization shows how some social media is connected by users.
This visualization shows the 12 most spoken Languages in the World
What patterns do you see in this visualization?
Language Spoken in Us (excluding english and Spanish)
Top language spoken by State (excluding English and Spanish) | ||||||
State | Top | Language speakers | Next | Language speakers | 3rd | Language speakers |
Alabama | Korean | 4,554 | Chinese | 5,405 | Vietnamese | 3,708 |
Alaska | Eskimo /Aleut | 10,000 | Taglog | 7,021 | Korean | 2.219 |
Arizona | Navajo | 20,627 | Mandarin/Cantonese | 14,208 | Vietnamese | 12,996 |
Arkansas | Llocano- Phillipines | 3,088 | Marshallese | 2,615 | Chinese | 1701 |
California | Chinese | 610,934 | Vietnamese | 316,886 | Taglog | 260,443 |
Colorado | Mandarin /Cantonese | 12,708 | Korean | 8,475 | Russian | 6405 |
Connecticut | Portugeuse | 16,008 | Polish | 15,109 | Chinese | 13,409 |
Delaware | Mandarin /Cantonese | 3,265 | French Creole | 1,281 | Gujarati /India | 1104 |
Florida | Haitian /Creole | 172,555 | Vietnamese | 35,602 | Portuguese | 33,193 |
Georgia | Vietnamese | 26,867 | Korean | 25,239 | Chinese | 23196 |
Hawaii | Llocano /Phillipines | 33,085 | Taglog | 31,449 | Japanese | 21,268 |
Idaho | Mandarin /Cantonese | 1,798 | Serbo-Croatian | 815 | Korean | 767 |
Illinois | Polish | 90,066 | Chinese | 52,736 | Korean | 25,762 |
Indiana | Pennsylvania Dutch | 14,737 | Chinese | 7,565 | German | 4600 |
Iowa | German | 6,025 | Chinese | 4,552 | Vietnamese | 3,795 |
Kansas | Mandarin /Cantonese | 7,435 | Vietnamese | 5,876 | German | 2,203 |
Behind every visualization
is a
table of data
“80 Types of Charts & Graphs for Data Visualization (with Examples).” Datylon, www.datylon.com/blog/types-of-charts-graphs-examples-data-visualization. Accessed 17 Sept. 2023.
LUPI, AND POSAVEC. DEAR DATA. PRINCETON ARCHITECTURAL PRESS, 2016.
https://www.cms.gov/cciio/resources/regulations-and-guidance/downloads/appendix-a-top-15.pdf
References
Picking your visualization should be after you look at your data. You decide what you want to show.
Charts go with specific types of data relationships.
You use correlation charts when you are trying to say what is related to another
When you are comparing the part to whole relationship or ranking you use these charts.
When you want to show data over time relationships you use these charts
When you want to show the way the data is spread out, you use these types of charts
Let’s Summarize things you can add to visualization to make them contain more information?
Color
Size
Length
Shape
PEOPLE STANDING NEAR ME…….
THE TIME IT TOOK TO GO TO MY LOCKER……
Notice the color change, what could that mean?
Dear Data the Book and Project
Looking at creating your own visualized data
Here’s the key
color = type of smell
dashes = time, how long the smell lasted
mark on the right = how the smell made
her feel or what
she did
NEGATIVE THOUGHTS
Inner Negative thoughts Outer negative thoughts
WHAT DO YOU THINK THIS IS ABOUT?
play music
check the time
check social media
To look busy
to check messages/email
Everything is data
if you care
to notice patterns!
Assignment:
You will work in groups of 2-3.
You have two dataset tables to choose from.
Decide how you will show time, use color to show something that happened, try and use size, include place.
PUT YOUR KEY FOR YOUR VISUALIZATION HERE
KEY
Make your Visualization with a topic based on what dataset you choose. Don’t forget to title the Visualization
Number of people near me | | |||||||
Time | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday | Sunday | Key |
7 | 1 | 0 | 1 | 0 | 0 | 9 | 1 | Airport |
8 | 1 | 0 | 1 | 0 | 0 | 9 | 1 | Airplane |
9 | 1 | 100+ | 1 | 25 | 0 | 9 | 139 | At Home |
10 | 100+ | 8 | 4 | 28 | 22 | 9 | 139 | Baggage |
11 | 0 | 17 | 15 | 100 | 23 | 8 | 74 | Party |
12 | 0 | 22 | 23 | 100 | 24 | 2 | 22 | Car |
1 | 0 | 0 | 4 | 100 | 10 | 0 | 10 | Work |
2 | 2 | 0 | 2 | 108 | 0 | 0 | 5 | Restaurant |
3 | 1 | 1 | 1 | 88 | 0 | 0 | 1 | Church |
4 | 1 | 1 | 0 | 73 | 1 | 0 | 1 | Movie |
5 | 1 | 1 | 1 | 65 | 1 | 1 | 1 | Conference |
6 | 2 | 2 | 8 | 44 | 13 | 1 | 22 | Bicycle |
7 | 2 | 15 | 8 | 78 | 65 | 1 | 23 | |
8 | 4 | 21 | 8 | 45 | 22 | 1 | 17 | |
9 | 1 | 22 | 1 | 44 | 21 | 1 | 10 | |
10 | 1 | 1 | 1 | 0 | 22 | 59 | 1 | |
===============
This table is about number of people near me. You can change the colors if needed.
There are no rules for how it looks or how you represent the data. Make sure you try to use size, color, time, place, etc.
Data for creating a Visualization
| Sounds I heard this week (that I remembered to write down) | ||||||
| Mon | Tue | Wed | Thurs | Friday | Saturday | Sunday |
6 | alarm 3 x, cat meow, mom telling me to hurry | alarm 3x, cat meow 3x, phone drops to the floor | Alarm 1x, bowl from cupboard, cereal box and milk, | Mom wakes me up, | alarm 1x, phone drops to floor, | asleep | asleep |
6:30 | opening a granola bar and running to bus, neighborhood dog barks | Grab a poptart | eating noises of family, sister talks | open a granola bar, catch bus | run to bus | asleep | asleep |
7 | Meet 3 friends at school talking | Meet 3 friends at school talking | Meet 3 friends at school talking | Meet 3 friends at school talking | Eat breakfast at school with 2 friends. | asleep | asleep |
7:30 | Bell rings, slam locker, noise of hall | Bell rings, slam locker, noise of hall | Bell rings, slam locker, noise of hall | Bell rings, slam locker, noise of hall | Bell rings, slam locker, noise of hall | Go to bball practice | asleep |
8 | Teacher takes attendance, kids talking | Teacher takes attendance, kids talking | Teacher takes attendance, kids talking | Teacher takes attendance, kids talking | Teacher takes attendance, kids talking | | asleep |
8:30 | Bell rings, slam locker, noise of hall | Bell rings, slam locker, noise of hall | Bell rings, slam locker, noise of hall | Bell rings, slam locker, noise of hall | Bell rings, slam locker, noise of hall | tv on, cat meows, looking at phone, drop phone | asleep |
9 | Fire Drill bell, Kids walking in hallway, standing in the parking lot, bell rings to return to class | 5 friends talking on way to class, laughing, 2 kids running through hall | 2 friends yelling at 2 other friends about after school, 2 friends talking to me, I trip over my feet, but get back up | Principal in hallway, all kids quietly talking, | 5 friends talking on way to class, laughing | nap | asleep |
This is your second choice:
Sounds I hear from 6-9:00.
There are no rules for how it looks or how you represent the data. Make sure you try to use size, color, time, place, etc.
You have 20 minutes to prepare your visualization. Your group will be asked to show your Visualization to the class at the end of the 20 minutes.
Supplies: