Difference between revisions of "Talk:Lesson04"

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#* Software products sometimes represent data in ways that cause the parts to inaccurately represent the whole.  
 
#* Software products sometimes represent data in ways that cause the parts to inaccurately represent the whole.  
 
# In the article Are Mosaic plots worthwhile?<ref name="Few" /> Stephen Few states his belief that <blockquote>“a coordinated set of bar graphs can reveal the same relationships in a way that can be more easily and accurately perceived and understood.” </blockquote>   
 
# In the article Are Mosaic plots worthwhile?<ref name="Few" /> Stephen Few states his belief that <blockquote>“a coordinated set of bar graphs can reveal the same relationships in a way that can be more easily and accurately perceived and understood.” </blockquote>   
# 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.<ref>https://eagereyes.org/parallel-sets</ref>
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# 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.<ref>https://eagereyes.org/parallel-sets</ref>. Advantage of Parallel Sets over Mosaic Plots is that you can see the link between variables.
  
 
==Notes==
 
==Notes==

Revision as of 22:06, 5 September 2016

Mosaic Plots

  1. Mosaic plots are powerful for visualizing multivariate categorical data.[1]
  2. The tool is closely related to the pie chart and tree map which also show part to whole relationships.[2]
  3. Mosaic plot is a graphical representation of a contingency table.
  4. 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.
  5. 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.
  6. 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.”

  7. 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]. Advantage of Parallel Sets over Mosaic Plots is that you can see the link between variables.

Notes

  1. 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. 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
  3. https://eagereyes.org/parallel-sets

Sestrong.2015 (talk) 14:11, 5 September 2016 (SGT)


Parallel Sets

unable to open Parallel Sets application

At the first glance, Parallel Sets looks innovative and interesting approach of visualization. I liked the way dimensional data is represented in a flow, getting distributed across the horizontal categorical sections. Interactive nature of the tool helps customizing the structure and focus of analysis. I was interested in trying out the features, but the application won't work on my system. I used Parallel Sets 2.1 Setup.exe for installation on my Win 10 Education machine. I get this fatal error every time I try to launch the application. Application was last updated in Aug 2009, so I am wondering if this is due to OS compatibility issue. Is anyone else facing similar issue?

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