text_html_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

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

import seaborn as sns

df = pd.read_csv('../input/openintro-possum/possum.csv')
df

cat = ['sex', 'Pop', 'site']

fig,ax=plt.subplots(3, figsize=(10,10))
ax=ax.ravel()

for index, col in enumerate(cat):
    sns.boxplot(x='age',y=col,data=df, ax=ax[index])

df['site'] = df['site'].apply(lambda x: str(x))

fig, ax = plt.subplots(figsize=(15, 15))
sns.heatmap(df.corr(), annot=True)
plt.show()