A list of 20 tips for great data visualization, including "Always start a bar chart at a 0 baseline" and ""Pick a color palette that matches the nature of your data".
Read it!"What do R2, laboratory error analysis, ensemble learning, meta-analysis, and financial portfolio risk all have in common? The answer is that they all depend on a fundamental principle of statistics that is not as widely known as it should be. Once this principle is understood, a lot of stuff starts to make more sense."
Read it!A fascinating visual essay that utilizes the Lempel-Ziv algorithm (which powers GIFs, PNGs, and most archive formats) to analyze if pop songs are becoming more repetitive.
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