SLIDE 1 N328 Visualizing Information
Khairi Reda | redak@iu.edu School of Informa5cs & Compu5ng, IUPUI
Week 2 | Data Abstractions & Intro to Tableau
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Last week
SLIDE 3 Seasonally adjusted unemployment rate in the US Bureau of Labor Statistics
Why use vision to analyze information?
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Why use vision to analyze information?
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Visualization can also do harm, though, if not done correctly
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Space Shuttle Challenger Disaster
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SLIDE 12 Based on reporting by the Guardian (https://www.theguardian.com/technology/blog/2008/jan/21/liesdamnliesandstevejobs) Via Miriah Meyer
SLIDE 13 US smart phone marketshare
Slide by Miriah Meyer
SLIDE 14 US smart phone marketshare
Slide by Miriah Meyer
SLIDE 15 This week
- Intro to Tableau
- Data type and seman;cs
- Variable types: Categorical, Ordinal,
and Quan5ta5ve variables
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Assignment 1
Due Monday 11:59pm in Canvas Submit a PDF file: Visualiza5on (picture) + Writeup
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Amy Basil Clara Desmond Fanny George Hector 1 2 3 4 5 6 7 8 7 6 8 7 6 10 M S M S L S M Apple Pear Peach Lychee Orange Pear Apple
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Amy Basil Clara Desmond Fanny George Hector 1 2 3 4 5 6 7 8 7 6 8 7 6 10 M S M S L S M Apple Pear Peach Lychee Orange Pear Apple
ID Name Age Shirt Size Favorite Fruit
SLIDE 19 Terminology
- Items: are individual units of informa5on. For example:
a rows in a table represen5ng one order out of many.
- A?ribute (variables, dimension): a property rela5ng to
- items. E.g., the shipping cost of a par5cular order
SLIDE 20 Via Miriah Meyer
Flat Tables
SLIDE 21 Attribute/Variable Types
✦Categorical (Nominal, Qualita;ve)
A finite set of categories No implicit ordering between categories
✦Ordered
Implicit ordering between categories/levels, but no clear magnitude difference. Can compare and determine greater/less than
Meaningful magnitude Can do arithme5c
SLIDE 22 Quan;ta;ve Data
Interval vs. Ra5o
✦ Interval
- Zero does not indicate an absence of detectable measurement
- We can determine distance between measurement, but not propor5ons
- Example: temperature, dates
✦ Ra;o
- The posi5on of zero indicates there is nothing of the measured en5ty
- Can determine ra5o and propor5ons
- Example: weight, age
SLIDE 23 Quiz
What a]ribute/variable type (Categorical, Ordinal, Interval, or Ra5o) best fit the following measurements?
- Speed
- Facebook reac5ons (Like, Angry, Sad, etc…)
- Car configura5ons (Compact, Mid-Sedan, SUV)
- Product Name
- IQ scores
- College Majors
- 50-meter race 5me
Based on a slide by Alex Lex
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Introduction to Tableau
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http://research.vis.ninja
Download IMDB Movies dataset:
SLIDE 28 Design critique
http://tinyurl.com/6mu8h63
about?
- What data is represented in
the visualiza5on? And how?
used?
answer with the visualiza5on?
- Do you like the visualiza5on?
- Are there any improvements
that can be made to the design?
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Next week
Visual Percep5on
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Required reading
in Canvas: files/Visual thinking for design
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SLIDE 32 Critiques
Cri;que thread posted (each week by Tuesday 11:59pm)
- URL to the visualiza5on
- What the visualiza5on is about
- Visual encoding: describe how the data is depict in the visualiza5on
- What insights did you discover from looking at the visualiza5on?
- Do you like the visualiza5on? Why? What would you do to improve it?
Comments due Sunday 11:59pm
- Good comments: add addi5onal insights or cri5que points, answer
ques5ons, provide a relevant example, etc…
- Saying “I agree” is not enough; you should explain why