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/heart-disease-detection/heart_disease.csv')

df.columns

df.shape

df.isnull().sum()

df.describe().T

import seaborn as sns

import matplotlib.pyplot as plt

df.corr()

df.drop(columns='age', inplace=True)

plt.figure(figsize=(10, 10))
sns.heatmap(df.corr(), annot=True, fmt='.0%')
plt.show()