Binning
Explore the process of binning in Altair to convert continuous variables into categorical intervals. Learn to use parameters like maxbins and extent, and apply binning to visualize data distributions effectively, helping to simplify complex datasets and reveal insights.
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Binning involves grouping data into intervals or bins and summarizing the data within each bin. This technique transforms continuous variables into categorical variables, allowing us to see patterns and trends more clearly. Binning is especially useful when dealing with large datasets, because it can reduce the complexity of the data and make it easier to interpret.
In Altair, we can implement binning through the bin parameter.