text_html_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')

plt.figure(figsize=(12, 6))
sns.kdeplot(data=df[df['Decision'] == 'admit'], x='GMAT', shade=True, label='Admitted')
sns.kdeplot(data=df[df['Decision'] == 'border'], x='GMAT', color='green', shade=True, label='Border')
sns.kdeplot(data=df[df['Decision'] == 'notadmit'], x='GMAT', color='orange', shade=True, label='Declined')
plt.title('GMAT Distributions')
plt.legend()