First data analysis walkthrough in Data Analysis Python - Mini Project: Build & Apply

First data analysis walkthrough

📖 Scenario: You have a small store and you want to analyze your weekly sales data to understand how well your products are doing.

🎯 Goal: You will create a simple program to store sales data, set a sales target, find products that met or exceeded the target, and display those products.

📋 What You'll Learn

Create a dictionary with product names and their sales numbers

Create a variable for the sales target

Use a dictionary comprehension to find products with sales greater than or equal to the target

Print the resulting dictionary of products meeting the target

💡 Why This Matters

🌍 Real World

Small business owners often analyze sales data to understand which products are performing well and which need attention.

💼 Career

Data analysts use similar techniques to filter and analyze data sets to provide insights for business decisions.

1

Create the sales data dictionary

Create a dictionary called sales with these exact entries: 'Apples': 150, 'Bananas': 90, 'Cherries': 120, 'Dates': 60, 'Elderberries': 30.

Data Analysis Python

# Create the sales dictionary with product names and sales numbers
# Your code here

Need a hint?

Use curly braces {} to create a dictionary. Each entry has a product name as a string key and a sales number as an integer value.

2

Set the sales target

Create a variable called target and set it to the integer 100.

Data Analysis Python

sales = {'Apples': 150, 'Bananas': 90, 'Cherries': 120, 'Dates': 60, 'Elderberries': 30}
# Create the sales target variable
# Your code here

Need a hint?

Just assign the number 100 to the variable target.

3

Find products meeting the sales target

Use a dictionary comprehension to create a new dictionary called top_sellers that contains only the products from sales with sales greater than or equal to target. Use product and amount as the loop variables.

Data Analysis Python

sales = {'Apples': 150, 'Bananas': 90, 'Cherries': 120, 'Dates': 60, 'Elderberries': 30}
target = 100
# Create top_sellers dictionary with products having sales >= target
# Your code here

Need a hint?

Use the syntax {key: value for key, value in dict.items() if condition} to filter the dictionary.

4

Display the top sellers

Write a print statement to display the top_sellers dictionary.

Data Analysis Python

sales = {'Apples': 150, 'Bananas': 90, 'Cherries': 120, 'Dates': 60, 'Elderberries': 30}
target = 100
top_sellers = {product: amount for product, amount in sales.items() if amount >= target}
# Print the top_sellers dictionary
# Your code here

Need a hint?

Use print(top_sellers) to show the filtered dictionary.