Difference between revisions of "Lesson 6"
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==Core Reading== | ==Core Reading== | ||
| − | * [https://www. | + | ==Diverging Stacked Bar Chart== |
| − | * [https://www. | + | * [https://www.jstatsoft.org/article/view/v057i05 Design of Diverging Stacked Bar Charts for Likert Scales and Other Applications] |
| − | * [https:// | + | * [https://www.perceptualedge.com/blog/?p=2239 When Are 100% Stacked Bar Graphs Useful?] |
| − | * [https://www. | + | * [https://blog.datawrapper.de/divergingbars/ The case against diverging stacked bars] |
| − | * [https://www. | + | * [https://www.linkedin.com/pulse/diverging-100-stacked-bars-useless-daniel-zvinca/?published=t Are diverging 100% stacked bars useless?] |
| + | * [https://www.datarevelations.com/rethinkingdivergent.html Rethinking the divergent stacked bar chart — placing the stronger views in the center] | ||
Revision as of 07:56, 11 February 2020
IS428 Visual Analytics for Business Intelligence
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Visualising and Analysing Survey Data
Contents
Readings
Core Reading
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
Additional Readings
- Choropleth Maps – A Guide to Data Classification
- Bivariate Choropleth
- Value-by-alpha maps
- What to consider when creating choropleth maps
- Choropleth Mapping with Exploratory Data Analysis
- Cartogram Maps: Data Visualization with Exaggeration
- Cartogram
