text_html_output_1.png
import matplotlib.pyplot as plt

import matplotlib.pyplot as plt

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

import seaborn as sns

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

bike.shape

bike.columns

bike.head(5).T

bike.tail(5).T

bike.isna().sum()

bike.isnull().apply(lambda x: [sum(x), sum(x) * 100 / bike.shape[0]])

bike.describe().T

bike_corr = bike.corr()
bike_corr

bike_cov = bike.cov()
bike_cov

import matplotlib.pyplot as plt
plt.figure(figsize=(10, 5))
ax = sns.boxplot(data=bike, orient='h', color='violet', palette='Set1')
plt.show()