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('/kaggle/input/mba-admission/Admission.csv')

ndf = df.copy()
ndf['Decision'] = ndf['Decision'].astype('category')
ndf['Decision'] = ndf['Decision'].cat.codes
sns.heatmap(ndf.corr() ** 2, annot=True, cmap='viridis')