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ISSS608 Visual Analytics and Applications
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Designing Graphs to Enlighten
Contents
Readings
Core Readings
- Claus O. Wilke Fundamentals of Data Visualisation. Chapter 1-5, 17-26.
- Data Visualization: Clarity or Aesthetics?
- Clarity or Aesthetics? Part 2 – A Tale of Four Quadrants
- Clarity or Aesthetics? Part 3 – Tips for Achieving Both
- Junk Charts Trifecta Checkup: The Definitive Guide
Optional Readings
- 7 Basic Rules for Making Charts and Graphs
- Quantitative Literacy Across the Curriculum
- Tapping the Power of Visual Perception
- Sometimes We Must Raise Our Voices
- Best Practices for Understanding Quantitative Data
- Data Visualization: Rules for Encoding Values in Graph
- Choosing Colors for Data Visualization
- Line Graphs and Irregular Intervals: An Incompatible Partnership
Learning from Examples
- Mistakes, we’ve drawn a few
- Graphics-Explore FT stories through charts and graphics
- Three Steps to Make Your Data Clearer
- When your own data contradicts your headline
All About Tableau
White Paper
- Which chart or graphis right for you?
- Good Enough to Great: A Quick Guide for Better Data Visualizations
Tutorial
Visual Analytics Method(s) of the Week
Age-sex Pyramid
- Population pyramid
- Age-Sex and Population Pyramids: The Most Useful Graphs in Population Geography
- Population Pyramid Singapore
Pareto Chart
Diverging Stacked Bar Chart
- Design of Diverging Stacked Bar Charts for Likert Scales and Other Applications
- When Are 100% Stacked Bar Graphs Useful?
- The case against diverging stacked bars
- Are diverging 100% stacked bars useless?
- Rethinking the divergent stacked bar chart — placing the stronger views in the center
