Talk:Lesson04
Revision as of 14:11, 5 September 2016 by Sestrong.2015 (talk | contribs) (Mosaic Plot Key Takeaways)
Mosaic Plots Key Takeaways
- Mosaic plots are powerful for visualizing multivariate categorical data.[1]
- The tool is closely related to the pie chart and tree map which also show part to whole relationships.[2]
- Mosaic plot is a graphical representation of a contingency table.
- There are two general uses[1]:
- Conditional Distributions – look at single response based on a set of variables. Example: Titanic Survival Rates based on class and gender.
- Structural Properties of high dimensional categorical data.
- Some drawbacks to the mosaic plot include: [2]
- Comparison of rectangles sizes can be complicated.
- It is difficult to focus on independently on height vs width
- It is difficult to compare lengths when shapes are not on a common baseline
- It is difficult to label categorical items
- Software products sometimes represent data in ways that cause the parts to inaccurately represent the whole.
- In the article Are Mosaic plots worthwhile?[2] Stephen Few states his belief that
“a coordinated set of bar graphs can reveal the same relationships in a way that can be more easily and accurately perceived and understood.”
- An alternative to sets of Bar Graphs or Mosaic Plots for visualizing multivariate categorical data are Parallel Sets which use horizontal bars to visualize absolute frequencies.[3]
Notes
- ↑ 1.0 1.1 Theusrusde. (2011). Understanding Area Based Plots: Mosaic Plots. [Weblog]. Retrieved 5 September 2016, from http://www.theusrus.de/blog/understanding-mosaic-plots/
- ↑ 2.0 2.1 2.2 Perceptual edge, Few, S. (2014). Are Mosaic Plots Worthwhile?. Retrieved 5 September, 2016, from www.perceptualedge.com/articles/visual_business_intelligence
- ↑ https://eagereyes.org/parallel-sets
Sestrong.2015 (talk) 14:11, 5 September 2016 (SGT)
