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The depreciation studies often have rate or percentages reported (i.e. .05 vs 5%) from different sources/studies. If the deprish_raw excel sheet is not saved, then the boolean column which lets me know whether or not to convert the percentages to rates ends up being imported to pandas as nulls, so the conversion doesn't happen.
This issue will be done when there is a data validation or defensive programing test that let's a user know when the std of the rate columns indicate that these boolean columns have failed.
The text was updated successfully, but these errors were encountered:
The depreciation studies often have rate or percentages reported (i.e. .05 vs 5%) from different sources/studies. If the deprish_raw excel sheet is not saved, then the boolean column which lets me know whether or not to convert the percentages to rates ends up being imported to pandas as nulls, so the conversion doesn't happen.
This issue will be done when there is a data validation or defensive programing test that let's a user know when the std of the rate columns indicate that these boolean columns have failed.
The text was updated successfully, but these errors were encountered: