Lesson 2
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IS428 Visual Analytics for Business Intelligence
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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?
- 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
