Transform¶

encoding_categorical¶

>> Check.encoding_categorical(data['Age'])
>> False

remove_records removes the missing data from the given dataframe row wise.

        >> Check.remove_records(data)
>> dataframe

remove_columns removes the missing data from the given dataframe column wise.

        >> Check.remove_columns(data)
>> dataframe

percentage_missing returns a dictionary containing percentage of missing data in each column.

        >> Check.percentage_missing(data)
>> dictionary

replace_mean replaces the missing value by the mean of the column.

        >> Check.replace_mean(data)
>> series

replace_median replaces the missing value by the median of the column.

        >> Check.replace_median(data)
>> series

ignore_identifier remove the column from the given dataframe if the row is an identifer row.

>> Check.ignore_identifier(data)
>> dataframe