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import pandas as pd

import numpy as np

# Read CSV file

df = pd.read_csv('sales_basic.csv')

# Basic exploration

print("Dataset shape:", df.shape)

print("\nFirst 3 rows:")

print(df.head(3))

print("\nData types:")

print(df.dtypes)

# Simple operations

df['total_value'] = df['price'] * df['quantity']

print("\nDataset with calculated total value:")

print(df)

# Basic filtering

expensive_products = df[df['price'] > 700]

print("\nProducts with price > 700:")

print(expensive_products)

# Simple aggregation

total_revenue = df['total_value'].sum()

print(f"\nTotal revenue: ${total_revenue}")