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With less than 20 non-overlapping points on the graph, I doubt that I would want to use anything else.

Furthermore, if my data has two outliers that are near each other, they may well be indistinguishable in the hexplot from one (or five) clustered outliers.

Your post was very interesting and your examples are great. I'll definitely use hexplots in the future. But I will still default to scatterplots. It's just easier to see if there's something wrong with the data, and they require less interpretation.




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