text_html_output_1.png
import matplotlib.pyplot as plt

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

import seaborn as sns

train_df = pd.read_csv('/kaggle/input/bike-sharing-demand/train.csv')

test_df = pd.read_csv('/kaggle/input/bike-sharing-demand/test.csv')

import matplotlib.pyplot as plt
import seaborn as sns
fig, axes = plt.subplots(nrows=2, ncols=2)
fig.set_size_inches(12, 10)
sns.boxplot(data=train_df, y='count', orient='v', ax=axes[0][0])
sns.boxplot(data=train_df, y='count', x='season', orient='v', ax=axes[0][1])
sns.boxplot(data=train_df, y='count', x='hour', orient='v', ax=axes[1][0])
sns.boxplot(data=train_df, y='count', x='workingday', orient='v', ax=axes[1][1])
axes[0][0].set(ylabel='Count', title='Box Plot On Count')
axes[0][1].set(xlabel='Season', ylabel='Count', title='Box Plot On Count Across Season')
axes[1][0].set(xlabel='Hour Of The Day', ylabel='Count', title='Box Plot On Count Across Hour Of The Day')
axes[1][1].set(xlabel='Working Day', ylabel='Count', title='Box Plot On Count Across Working Day')