> If your data is simple and unimodal, use a boxplot. How is the reader to know you've used the right plot? How are they to know that you haven't hidden a bimo

> If your data is simple and unimodal, use a boxplot. How is the reader to know you've used the right plot? How are they to know that you haven't hidden a bimodel dataset behind a box plot because it makes your conclusions easier? > If the distribution is more complicated and you need some detail, use a histogram or a ridge plot. Violin plots are never the best option; they're curvy so a little more pretty but don't do a good job of conveying information. They are just multiple, non-overlapping histograms plotted next to each other. They allow you to compare distributions without them getting in the way of each other. I can understand if it's the fitted PDF that you think hides the original data. That is unnecessary IMHO.