Computer scienceData scienceInstrumentsPandasData preprocessing with pandas

Handling missing values

Theory

Find the best match

Report a typo

Find the best method to cope with missing values in each case in a column.

Match the items from left and right columns
A feature with three unique values (<10% of NaNs)
A numerical feature with outliers (7% of NaNs)
A numerical feature with values in range [10, 20] (15% of NaNs)
A categorical feature with 80% missing values
Average
Mode
Median
Delete the whole column
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