How to Create Bins and Buckets with Pandas
In this video, I'm going to show you how to create bin data using pandas and this is a great technique to create categories out of continuous data. Hopefully. you'll enjoy the video and learn how to create bins by grouping continuous data so let's see the entire video.
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Binning or discretization is the process of transforming numerical variables into categorical counterparts. Numerical variables are usually discretized in the modeling methods based on frequency tables. Statistical data binning is a way to group numbers of more or less continuous values into a smaller number of "bins".
We will use the Pandas CUT function. This method basically means that cut divide up the underlying data into equal-sized. or categorical bins. The function defines the bins using percentiles based on the distribution of the data, not the actual numeric edges of the bins.
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