text_plain_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

df = pd.read_csv('../input/ibm-hr-analytics-attrition-dataset/WA_Fn-UseC_-HR-Employee-Attrition.csv')

df = df.drop(['EmployeeNumber', 'EmployeeCount', 'StandardHours'], axis=1)
df.isna().sum()

df.isnull().values.any()

categorial_col = df.select_dtypes(include='object')

import matplotlib.pyplot as plt
import seaborn as sns
plt.figure(figsize=(30, 30))
sns.heatmap(df.corr(), annot=True, cmap='RdYlGn', annot_kws={'size': 15})