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Both charts would benefit by focusing on the re-formulation of {#RED, #GREEN} -> {#RED+#GREEN, #GREEN-#RED} -- essentially a typical sum-difference chart.
The bar chart originally showed just the sums, and the re-formulation works much better as it highlights the differences. However it seems to have randomized the categorical dimension. the original chart sorted by #RED, but I would suggest that sorting by the sum or the difference makes more sense.
The scatterplot screams out for a sum-difference chart -- it makes the orientation correct and makes the h/v directions meaningful.
A log scale is not a great plan as counts are rarely exponential in nature. Counts often benefit from a square root transform (see intermediate statistical texts for reasons why) so that might be attempted if the sum-difference chart does not fix the issue
Restoring symmetry, and another survey debunked
Reader John G. submitted a chart plus its improvement. Thank you! The problem chart is used to present a "net promoter score" analysis by ABB (link). Net promoter score is the difference between people who will recommend a product or company and people who won't. The chart presents the component...
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Feb 17, 2012
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