import pandas as pd

# Step 1: Read the CSV file
# Replace 'example.csv' with the path to your CSV file
df = pd.read_csv('example.csv')

# Step 2: Access and manipulate the data
# Access the first 5 rows of the DataFrame
print("First 5 rows of the DataFrame:")
print(df.head())

# Access a specific column by name
names = df['Name']
print("\nNames column:")
print(names)

# Filter rows based on a condition (e.g., age greater than 30)
older_than_30 = df[df['Age'] > 30]
print("\nPeople older than 30:")
print(older_than_30)

# Perform various data operations (e.g., calculate mean age)
mean_age = df['Age'].mean()
print("\nMean age:", mean_age)

# Step 3: Save the extracted data to a new CSV file
# Save the filtered data to a new CSV file
older_than_30.to_csv('older_than_30.csv', index=False)

# Save the entire DataFrame to a new CSV file
df.to_csv('output_data.csv', index=False)

print("\nData saved to 'older_than_30.csv' and 'output_data.csv'.")