badfish
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plot: add expected vs. actual
Add a plot that shows recovery shares, i.e. percentage of actual vs. expected values depending on the frequency:
@dacoex I am not sure if I understand this correctly.
mf.counts(norm=True) would give you the percentage of data missing in all columns. In this case you would get the percentage missing in column 1, 2, 3 and so on.
I guess what you want is the same result grouped by another column/index which is year? Something in the lines of #11
Am I correct?
Something in the lines of #11
Yes, with the option to plot it with conditional colours.
mf.counts(norm=True) would give you the percentage of data missing in all columns.
Does is check the freq? Means, when I have 10T the percentage woudl be different than for a 1T freq..