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Python Example
import pandas as pd

# Create sample healthcare data
data = {
    'PatientID': [101, 102, 103, 104, 105],
    'Age': [45, 52, 37, 63, 28],
    'BloodPressure': [120, 140, 115, 170, 110],
    'Cholesterol': [200, 250, 190, 280, 170],
    'Outcome': ['Healthy', 'At Risk', 'Healthy', 'Condition', 'Healthy']
}

# Create a DataFrame
df = pd.DataFrame(data)
print("Patient Health Data:")
print(df)

# Calculate basic statistics
print("\nAverage Age:", df['Age'].mean())
print("Average Blood Pressure:", df['BloodPressure'].mean())

# Count outcomes
outcome_counts = df['Outcome'].value_counts()
print("\nOutcome Counts:")
print(outcome_counts)

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