I mostly agree with the article, but disagree with the idea that unusual visualizations are harder to understand. Tuning your chart to your data often makes it

I mostly agree with the article, but disagree with the idea that unusual visualizations are harder to understand. Tuning your chart to your data often makes it easier for your audience to understand. For example, if you want to communicate the detailed difference between how well two models predict the performance of teams in the NFL, an ROC chart showing both models is usually the clearest way to present[0]. If you want to model different scenarios, a segmentation chart may be better. If you just want average conversion rates, bar charts may be more helpful. That said, I certainly agree with using the same chart for things like weekly updates, etc. Creativity for creativity's sake is pointless-the point of using different types of charts is to communicate a complex message as simply as possible. [0]: http://blog.optimalbi.com/wp-content/uploads/2012/12/ROC-chart1.png http://blog.optimalbi.com/wp-content/uploads/2012/12/ROC-cha...