Cells or bins are colored based on data. As with all visualization types that use color as the main visual encoding, choose shades carefully.
Heatmaps quickly translate data tables into a visual form, making them a great tool to explore a new dataset.
Using color as the visual encoding, show changes over time in two dimensions.
Things have a way of repeating themselves, and it can be useful to highlight these patterns in data.
Add interaction so that you can show different segments of the data and allow comparisons.
You saw how to make basic heat maps a while back, but you might want more flexibility for a specific data set. Once you understand the components of a heat map, the rest is straightforward.
The familiar but underused layout is a good way to look at patterns over time.
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From the teenage years to college to adulthood through retirement, sleep is all over the place at first but then converges towards consistency.
For National Geographic, Kennedy Elliot made a series of heatmaps that show the…
