application_vnd.jupyter.stderr_output_1.png
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import seaborn as sns

dataf = pd.read_csv('../input/bike_share.csv')

dataf.describe().T

dataf.duplicated().sum()

dataf.shape

dataf.drop_duplicates(inplace=True)

dataf.duplicated().sum()

dataf.isna().sum()

dataf.corr()

train_X = dataf.drop(columns=['temp', 'casual', 'registered'])

for i in dataf.columns:
    sns.pairplot(data=dataf, x_vars=i, y_vars='count')