Bucketing or Grouping Data into Categories

1. Create Age Groups:

   • e.g., "Can you group our customer ages into categories like 'Under 18,' '18-30,' '31-45,' and 'Over 45'?"

2. Categorize Sales by Value Ranges:

   • e.g., "I'd like to categorize our sales into 'Low,' 'Medium,' and 'High' based on their values."

3. Group Transactions by Months:

   • e.g., "Group our sales transactions by months to see monthly revenue."

4. Bin Scores into Grade Categories:

   • e.g., "Let's categorize student scores into 'A,' 'B,' 'C,' 'D,' and 'F' grades."

5. Classify Products by Price Ranges:

   • e.g., "Categorize our products into price ranges, like 'Affordable,' 'Moderate,' and 'Luxury'."

6. Divide Inventory Levels into Stock Status:

   • e.g., "Create groups for our inventory items, such as 'Low Stock,' 'Moderate Stock,' and 'High Stock'."

7. Group Data by Geographic Regions:

   • e.g., "Let's categorize our sales data into regions like 'North,' 'South,' 'East,' and 'West'."

8. Bucket Customer Reviews by Sentiment:

   • e.g., "Classify customer reviews as 'Positive,' 'Neutral,' and 'Negative' based on their sentiment."

9. Segment Data by Customer Behavior:

   • e.g., "Divide our customers into segments like 'Frequent Buyers,' 'Occasional Shoppers,' and 'One-time Buyers'."