import pandas as pd import seaborn as sns import matplotlib.pyplot as plt data = { 'Patient_ID': [1, 2, 3, 4, 5], 'Age': [25, 47, 35, 63, 52], 'Gender': ['Male', 'Female', 'Female', 'Male', 'Female'], 'Blood_Pressure': [120, 140, 130, 150, 135], 'Cholesterol': [200, 240, 180, 210, 190], 'Diabetes': ['No', 'Yes', 'No', 'Yes', 'No'] } df = pd.DataFrame(data) print("\nGender Count:\n", df['Gender'].value_counts()) print("\nDiabetes Count:\n", df['Diabetes'].value_counts()) print("\nCorrelation:\n", df[['Age', 'Blood_Pressure', 'Cholesterol']].corr()) sns.histplot(df['Age'], kde=True) plt.title('Age Distribution') plt.show() sns.countplot(x='Gender', data=df) plt.title('Gender Count') plt.show()