A scatterplot chart shows how a bunch of items (e.g. people, places, user segments) compare to each other when plotted by two measures. The items are positioned (or scattered) on a two-dimensional plot to reveal patterns such as:
Outliers with unusual combinations of values;
Clusters of items that share similar combinations of values;
Overall relationships between the two measures (e.g. height and weight are correlated).
Open this Juicebox report to learn when you should use a scatterplot chart, how it works (with an interactive example), and mistakes to avoid.
Need help creating a scatterplot in Juicebox? Check out this short video.
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