AI for data analysis and spreadsheet tasks in AI for Everyone - Mini Project: Build & Apply

AI for Data Analysis and Spreadsheet Tasks

📖 Scenario: You work in a small business that uses spreadsheets to track sales data. You want to use AI tools to help analyze the data quickly and find useful insights without writing complex code.

🎯 Goal: Learn how to prepare data, set simple analysis goals, apply AI-powered data analysis, and view the results to make better business decisions.

📋 What You'll Learn

Create a sales data dictionary with exact values

Set a sales threshold variable

Use AI-like logic to filter sales above the threshold

Print the filtered sales data

💡 Why This Matters

🌍 Real World

Businesses often use AI and simple data filters to quickly find important trends in sales or other data without complex coding.

💼 Career

Knowing how to prepare data and apply simple AI-like filters is useful for roles in data analysis, business intelligence, and spreadsheet management.

1

Create the sales data dictionary

Create a dictionary called sales_data with these exact entries: 'January': 1500, 'February': 1800, 'March': 1200, 'April': 2200, 'May': 1700.

AI for Everyone

# Create the sales_data dictionary with exact month and sales values
# Your code here

Hint

Use curly braces to create a dictionary with month names as keys and sales numbers as values.

2

Set the sales threshold

Create a variable called sales_threshold and set it to 1600.

AI for Everyone

sales_data = {'January': 1500, 'February': 1800, 'March': 1200, 'April': 2200, 'May': 1700}
# Set sales_threshold to 1600
# Your code here

Hint

Just assign the number 1600 to the variable sales_threshold.

3

Filter sales above the threshold

Create a new dictionary called high_sales that includes only the months and sales from sales_data where the sales are greater than sales_threshold. Use a dictionary comprehension with month and amount as variables.

AI for Everyone

sales_data = {'January': 1500, 'February': 1800, 'March': 1200, 'April': 2200, 'May': 1700}
sales_threshold = 1600
# Create high_sales dictionary with months having sales > sales_threshold
# Your code here

Hint

Use a dictionary comprehension to pick only months where amount is greater than sales_threshold.

4

Print the filtered sales data

Print the high_sales dictionary to display the months with sales above the threshold.

AI for Everyone

sales_data = {'January': 1500, 'February': 1800, 'March': 1200, 'April': 2200, 'May': 1700}
sales_threshold = 1600
high_sales = {month: amount for month, amount in sales_data.items() if amount > sales_threshold}
# Print the high_sales dictionary
# Your code here

Hint

Use the print function to show the high_sales dictionary.

Practice

1. What is one main benefit of using AI for data analysis in spreadsheets?

easy

A. It quickly summarizes large amounts of data.

B. It replaces the need for any human input.

C. It makes spreadsheets run faster on old computers.

D. It automatically deletes unnecessary files.

Solution

1. Step 1: Understand AI's role in spreadsheets

   AI helps by analyzing and summarizing data quickly, saving time.

2. Step 2: Evaluate each option

   Only It quickly summarizes large amounts of data. correctly describes AI's benefit; others are incorrect or unrelated.

3. Final Answer:

   It quickly summarizes large amounts of data. -> Option A

4. Quick Check:

   AI benefit = quick data summary [OK]

Hint: Think about what AI speeds up in spreadsheets [OK]

Common Mistakes:

• Thinking AI replaces all human work
• Confusing AI with computer speed
• Assuming AI deletes files automatically

2. Which of these is the correct way to ask AI to create a chart from spreadsheet data?

easy

A. Sort the data alphabetically.

B. Delete all rows with empty cells.

C. Create a bar chart showing sales by month.

D. Calculate the sum of column A.

Solution

1. Step 1: Identify the request for chart creation

   Only Create a bar chart showing sales by month. asks AI to create a chart, specifying type and data.

2. Step 2: Check other options

   Options B, C, and D ask for data cleaning or calculation, not chart creation.

3. Final Answer:

   Create a bar chart showing sales by month. -> Option C

4. Quick Check:

   Chart request = Create a bar chart showing sales by month. [OK]

Hint: Look for the option mentioning chart creation [OK]

Common Mistakes:

• Choosing options about sorting or summing instead of charting
• Confusing data cleaning commands with chart requests

3. Given this AI command in a spreadsheet: "Show me the average sales per region." What kind of output should you expect?

medium

A. A list of average sales values grouped by each region.

B. A chart showing total sales over time.

C. A sorted list of all sales data.

D. A cleaned dataset with no missing values.

Solution

1. Step 1: Understand the AI command

   The command asks for average sales grouped by region, so output should reflect that.

2. Step 2: Match output to options

   A list of average sales values grouped by each region. matches the request; others describe different outputs.

3. Final Answer:

   A list of average sales values grouped by each region. -> Option A

4. Quick Check:

   Average sales per region = A list of average sales values grouped by each region. [OK]

Hint: Look for grouping and averaging in the output [OK]

Common Mistakes:

• Expecting a chart instead of a list
• Confusing sorting with averaging
• Thinking data cleaning is the output

4. You asked AI to "Remove duplicates from the sales data," but the output still has duplicates. What is the likely error?

medium

A. Duplicates were removed but new ones appeared automatically.

B. The AI command was unclear or incomplete.

C. The spreadsheet software does not support duplicate removal.

D. The AI deleted the wrong rows.

Solution

1. Step 1: Analyze the AI command issue

   If duplicates remain, the command might have been unclear or missing details.

2. Step 2: Evaluate other options

   Software usually supports duplicate removal; new duplicates don't appear automatically; AI deleting wrong rows is less likely without error.

3. Final Answer:

   The AI command was unclear or incomplete. -> Option B

4. Quick Check:

   Unclear command = duplicates remain [OK]

Hint: Check if the AI command was clear and specific [OK]

Common Mistakes:

• Blaming software limitations without checking command
• Assuming duplicates appear automatically
• Thinking AI deletes wrong data without error

5. You want AI to clean a spreadsheet by removing empty rows, fixing date formats, and summarizing total sales by month. Which AI command best combines these tasks?

hard

A. "Sort sales data alphabetically and create a pie chart."

B. "Delete all data and start a new spreadsheet."

C. "Calculate average sales and highlight top 10 values."

D. "Clean empty rows, standardize dates to YYYY-MM-DD, then show total sales per month."

Solution

1. Step 1: Identify tasks in the command

   The tasks are removing empty rows, fixing date formats, and summarizing sales by month.

2. Step 2: Match tasks to options

   Only "Clean empty rows, standardize dates to YYYY-MM-DD, then show total sales per month." includes all these tasks clearly combined.

3. Final Answer:

   "Clean empty rows, standardize dates to YYYY-MM-DD, then show total sales per month." -> Option D

4. Quick Check:

   Combined cleaning and summary = "Clean empty rows, standardize dates to YYYY-MM-DD, then show total sales per month." [OK]

Hint: Look for option combining cleaning and summarizing tasks [OK]

Common Mistakes:

• Choosing options with unrelated tasks
• Missing the date format fixing step
• Ignoring the summary by month requirement