Doing data visualizations correctly takes careful consideration. Incorrectly visualizing something can be misleading, embarassing, and even damaging to reputations. In order to do it correctly, it can often be useful to think about the visualization from several different angles before settling on the final version.
Looking at good examples of data visualization is certainly a great way to learn, but equal value can be found in examining visualizations that didn’t work so well.
Via Lauren Moss