image_output_2.png image_output_1.png
import matplotlib.pyplot as plt

import seaborn as sns

employees.shape

employees.mean()

import seaborn as sns
correlation_matrix = employees.corr()
plt.subplots(figsize=(8, 8))
sns.heatmap(correlation_matrix, vmax=0.8, square=True)
plt.show()