Thanks for the video! For me violin are great when you want to say something about different distributions but in most cases you are interesting in comparing the mean or median so boxplots would be better.
Thanks for this, found it really helpful. Quick question please, is it possible to plot a violin plot with individual data points and also add the mean as a crossbar or in other geom forms? thanks ahead
Great video and critics on the violin plot. What about merging the boxplot with the violin? It may help a reader to improve the visualization of the distribution of the data. Just my two cents comment
Thank you for the video! I don't always get why violin plots are considered visually intuitive. They do look great when data is normally distributed. However, it becomes a bit hard to compare violins plots for distributions like in the video example. Btw, I am curious, is there an "optimal" way to visualize count matrices to emphasize clustering (in my case, binary matrices and matrices with small count numbers, e.g., distribution of specific genes across bacterial genomes)? I've seen people mostly doing heatmaps and sometimes PCA plots, but still curious what way is considered the best.
Thanks, Aleksandr! Yeah, I'm not sure why they're so popular either ;) Something I've seen people do is to combine a heat map with dendrograms on either or both margins to show which samples or taxa/genes cluster together by similarity or co-occurence
Box plot is the clear win, however sometimes entertainment trumps information. I'd never use one in a paper but maybe for a team talk I would use one (assuming a box plot wasn't available)