Array indexing and slicing in Data Analysis Python - Mini Project: Build & Apply

Array indexing and slicing

📖 Scenario: You work in a small bakery that tracks daily sales of different types of bread. You have a list of daily sales numbers for a week, and you want to analyze specific days or parts of the week.

🎯 Goal: Learn how to use array indexing and slicing to select specific sales data from a list.

📋 What You'll Learn

Create a list with exact daily sales numbers

Create a variable to select a specific day using indexing

Use slicing to select a range of days

Print the selected sales data

💡 Why This Matters

🌍 Real World

Selecting specific days' sales helps businesses analyze performance on particular days or periods.

💼 Career

Data analysts often use indexing and slicing to extract relevant data from larger datasets for reports and insights.

1

Create the daily sales list

Create a list called daily_sales with these exact values: 20, 35, 30, 25, 40, 50, 45 representing sales for each day of the week.

Data Analysis Python

# Create the daily_sales list with the exact values
# Your code here

Need a hint?

Use square brackets [] to create a list and separate numbers with commas.

2

Select sales for Wednesday using indexing

Create a variable called wednesday_sales that gets the sales number for Wednesday from daily_sales using indexing. Remember, the list starts at index 0 for Monday.

Data Analysis Python

daily_sales = [20, 35, 30, 25, 40, 50, 45]
# Select Wednesday sales using indexing
# Your code here

Need a hint?

Wednesday is the third day, so use index 2.

3

Select sales from Tuesday to Thursday using slicing

Create a variable called midweek_sales that slices daily_sales to get sales from Tuesday to Thursday (inclusive). Use slicing with the correct start and end indexes.

Data Analysis Python

daily_sales = [20, 35, 30, 25, 40, 50, 45]
wednesday_sales = daily_sales[2]
# Slice daily_sales from Tuesday to Thursday
# Your code here

Need a hint?

Slicing includes the start index but excludes the end index.

4

Print the selected sales data

Print the variables wednesday_sales and midweek_sales to display the sales for Wednesday and the midweek range.

Data Analysis Python

daily_sales = [20, 35, 30, 25, 40, 50, 45]
wednesday_sales = daily_sales[2]
midweek_sales = daily_sales[1:4]
# Print wednesday_sales and midweek_sales
# Your code here

Need a hint?

Use two print statements, one for each variable.