Creating interaction features in Data Analysis Python - Try It Yourself

Creating Interaction Features

📖 Scenario: You work as a data analyst for an online store. You have a small dataset with information about products: their price and quantity sold. You want to create a new feature that shows the total sales value for each product by multiplying price and quantity.

🎯 Goal: Build a small program that creates a dictionary with product prices and quantities, then creates a new dictionary with the total sales value for each product by multiplying price and quantity.

📋 What You'll Learn

Create a dictionary called prices with product names as keys and their prices as values.

Create a dictionary called quantities with product names as keys and quantities sold as values.

Create a new dictionary called total_sales where each product's value is the product of its price and quantity.

Print the total_sales dictionary.

💡 Why This Matters

🌍 Real World

Creating interaction features like total sales helps businesses understand product performance and make better decisions.

💼 Career

Data analysts and data scientists often create new features by combining existing data to improve models and insights.

1

Create the product price dictionary

Create a dictionary called prices with these exact entries: 'apple': 2, 'banana': 1, 'cherry': 3.

Data Analysis Python

# Create the prices dictionary
# Your code here

Hint

Use curly braces {} to create a dictionary with keys and values separated by colons.

2

Create the product quantity dictionary

Create a dictionary called quantities with these exact entries: 'apple': 5, 'banana': 7, 'cherry': 3.

Data Analysis Python

prices = {'apple': 2, 'banana': 1, 'cherry': 3}
# Create the quantities dictionary
# Your code here

Hint

Use the same dictionary syntax as before but with the quantities values.

3

Create the total sales dictionary using interaction features

Create a new dictionary called total_sales using a dictionary comprehension. For each product in prices, multiply its price by its quantity from quantities.

Data Analysis Python

prices = {'apple': 2, 'banana': 1, 'cherry': 3}
quantities = {'apple': 5, 'banana': 7, 'cherry': 3}
# Create total_sales dictionary by multiplying price and quantity
# Your code here

Hint

Use a dictionary comprehension with {key: value for key in iterable} syntax.

4

Print the total sales dictionary

Print the total_sales dictionary to see the total sales value for each product.

Data Analysis Python

prices = {'apple': 2, 'banana': 1, 'cherry': 3}
quantities = {'apple': 5, 'banana': 7, 'cherry': 3}
total_sales = {product: prices[product] * quantities[product] for product in prices}
# Print the total_sales dictionary
# Your code here

Hint

Use print(total_sales) to display the dictionary.