application_vnd.jupyter.stderr_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

mydataset = pd.read_csv('HR_comma_sep.csv')

mydataset.shape

mydataset.dtypes

fig = plt.figure(figsize=(10,10))
corr = mydataset.corr()
sns.heatmap(corr, vmax=1, square=True,annot=True)
sns.plt.title('Correlation Matrix Heatmap')

mydataset.mean()