target distribution plot

loan_category_counts = X_train['loan_label'].value_counts()

colors = ['green', 'red']

plt.bar(loan_category_counts.index, loan_category_counts.values, color=colors)
plt.xlabel('Loan Label')
plt.ylabel('Count')
plt.title('Distribution of Loan Label')

for i, count in enumerate(loan_category_counts.values):
    plt.text(i, count, str(count), ha='center', va='bottom', fontsize=10)

plt.show()