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from sklearn.preprocessing import MinMaxScaler

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

df = pd.read_csv('../input/HR_comma_sep.csv')

from sklearn.preprocessing import MinMaxScaler
minmax = MinMaxScaler()
df['average_montly_hours'] = minmax.fit_transform(df[['average_montly_hours']])
df['average_montly_hours'].describe()