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()