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| + | <font size="5">'''Designing Graphs to Enlighten'''</font>  | ||
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=Learning from Examples=  | =Learning from Examples=  | ||
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* [https://medium.economist.com/mistakes-weve-drawn-a-few-8cdd8a42d368 Mistakes, we’ve drawn a few]  | * [https://medium.economist.com/mistakes-weve-drawn-a-few-8cdd8a42d368 Mistakes, we’ve drawn a few]  | ||
| + | * [https://www.ft.com/graphics Graphics-Explore FT stories through charts and graphics]  | ||
* [https://www.tableau.com/sites/default/files/whitepapers/three_steps_to_make_your_data_clearer_the_gi_tableau_guide.pdf Three Steps to Make Your Data Clearer]  | * [https://www.tableau.com/sites/default/files/whitepapers/three_steps_to_make_your_data_clearer_the_gi_tableau_guide.pdf Three Steps to Make Your Data Clearer]  | ||
| − | + | * [http://www.thefunctionalart.com/2019/03/when-your-own-data-contradicts-your.html When your own data contradicts your headline]  | |
=All About Tableau=  | =All About Tableau=  | ||
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==Tutorial==  | ==Tutorial==  | ||
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* [https://www.tableau.com/learn/tutorials/on-demand/getting-started-dashboards-and-stories Getting Started with Dashboards and Stories]  | * [https://www.tableau.com/learn/tutorials/on-demand/getting-started-dashboards-and-stories Getting Started with Dashboards and Stories]  | ||
Latest revision as of 16:45, 3 January 2021
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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