Ask Your Question
1

In SQL Server, what is the process of producing a categorical column using two numeric columns?

asked 2023-05-13 04:24:30 +0000

lalupa gravatar image

edit retag flag offensive close merge delete

1 Answer

Sort by ยป oldest newest most voted
3

answered 2023-05-13 04:37:02 +0000

scrum gravatar image

One possible process for producing a categorical column using two numeric columns in SQL Server is as follows:

  1. Define the criteria for categorization based on the values of the numeric columns, such as thresholds or ranges.

  2. Use a CASE statement to evaluate each row of the table and assign a category label based on the criteria.

For example, suppose we have a table named Sales with columns Amount and Quantity, and we want to create a column called Performance that classifies sales transactions as Good, OK, or Poor based on combinations of the two numeric columns:

SELECT Amount, Quantity, 
  CASE 
    WHEN Amount >= 10000 AND Quantity >= 10 THEN 'Good'
    WHEN Amount >= 5000 AND Quantity >= 5 THEN 'OK'
    ELSE 'Poor'
  END AS Performance
FROM Sales

This query selects the values of Amount and Quantity for each row of the Sales table and applies the CASE statement to generate the Performance column. The first condition checks if Amount is greater than or equal to 10000 and Quantity is greater than or equal to 10, in which case the transaction is classified as Good. The second condition checks if Amount is greater than or equal to 5000 and Quantity is greater than or equal to 5, in which case the transaction is classified as OK. Otherwise, the transaction is classified as Poor.

edit flag offensive delete link more

Your Answer

Please start posting anonymously - your entry will be published after you log in or create a new account. This space is reserved only for answers. If you would like to engage in a discussion, please instead post a comment under the question or an answer that you would like to discuss

Add Answer


Question Tools

Stats

Asked: 2023-05-13 04:24:30 +0000

Seen: 9 times

Last updated: May 13 '23