December 2019
Beginner
370 pages
8h 9m
English
So far, all of the graphs we have discussed have been used to analyze aggregate measures. The next category of graphs benefits more from analyzing measures in their raw or unaggregated form, though, it is not a prerequisite for their usage. These graphs are useful for detecting outliers in the data or seeing the relationship between two measures. Outlier detection is useful in understanding how much outliers influence statistical measures such as the sum and average. Outlier detection also becomes very powerful in detecting fraud or errors. For example, which three customers were responsible for the highest individual sales?
To view this, we create a Circle Plot for Sales and Customer ...
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