Bad Graph Wall of Shame

When choosing how to present statistics, it's important to do it well. Poor axes choices, choosing the wrong graph type for your data, bad or unclear labelling, and more can lead to a graph or chart which is, at best, not illuminating and at worst, misleading. The purpose of the visual presentation is to summarize the statistics of the data while being as clear as possible. The following graphs are presented as "What Not to Do".