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I have a table with 17M rows, and am looking at binning 4-5 columns (e.g., earnings yield, interest yield, etc.) in 1% increments (e.g., <1%, 1-2%, 2-3%, 3-4%).
One way to do this would be 4-5 additional calculated columns, 1 binning for each column. But that adds a lot of data.
What is the best way to bin for a data set like this?
Thank you.
Solved! Go to Solution.
Hi @tryingnewtools,
Maybe you could add a custom column to group row data, values are like <1%, 1-2%, 2-3%, 3-4% under this custom column. Then, pivot this column so that group values will be displayed as new column headers.
Regards,
Yuliana Gu
Hi @tryingnewtools,
Maybe you could add a custom column to group row data, values are like <1%, 1-2%, 2-3%, 3-4% under this custom column. Then, pivot this column so that group values will be displayed as new column headers.
Regards,
Yuliana Gu
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