Difference between revisions of "Lesson02"
		
		
		
		
		
		
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Revision as of 15:52, 30 December 2019
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Contents
Readings
Core Readings
- 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
- When your own data contradicts your headline
 - Mistakes, we’ve drawn a few
 - Three Steps to Make Your Data Clearer
 
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
Trellis Display
- The Visual Design and Control of Trellis Display
 - Trellis display
 - Trellis Displays vs. Interactive Graphics
 
Violin Plots
- Violin Plot-wikipedia
 - Hintze, Jerry L.; Nelson, Ray D. (1998). "Violin Plots: A Box Plot-Density Trace Synergism". The American Statistician. 52 (2): 181–4
 
Notched Box Plots
Dot Plots
Funnel Plots
- Variation and Its Discontents: Funnel Plots for Fair Comparisons
 - What are the chances of successful fertility treatment?
 - [https://understandinguncertainty.org/three-fold-variation-uk-bowel-cancer-death-rates Three-fold variation in UK bowel cancer death rates (?)}
 - Using funnel plots in public health surveillance
 - Graph Makeover: Where same-sex couples live in the US
 - Using maps and funnel plots to explore variation in place of death from cancer within London, 2002–2007
 
=Age-sex Pyramid]