Heatmaps are most useful for identifying patterns in large amounts of data at a glance. In this case, lighter (or warmer) colors mean more tweets and darker (or cooler) means fewer. To the side of the grid is a legend that shows us how the color relates to the count values. The squares are colored according to how many tweets fall into each hour/minute bin. Fundamentally it is a grid of colored squares where each square, or bin, marks the intersection of the values of two variables which stretch along the horizontal and vertical axes. These charts contain all the main components of a heatmap. Here are two heatmaps that show the differences in how two users use Twitter: These techniques can be very powerful for examining patterns in behavior, especially for psychological institutions who commonly send self-assessment surveys to patients. A heatmap is a data visualization technique that uses color to show how a value of interest changes depending on the values of two other variables.įor example, you could use a heatmap to understand how air pollution varies according to the time of day across a set of cities.Īnother, perhaps more rare case of using heatmaps is to observe human behavior - you can create visualizations of how people use social media, how their answers on surveys changed through time, etc.
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