What is the technique for eliminating rows that have particular values in a column?

The technique for eliminating rows that have particular values in a column is called filtering.

Here are the general steps to filter rows based on a particular value in a column:

Identify the column containing the values you want to filter.

Determine the specific value or values that you want to filter out.

Use a filtering function or method (such as FILTER, SELECT, or WHERE) to select the rows that meet your criteria.

If you want to remove the filtered rows from the original dataset, you can overwrite the dataset with the filtered version, or create a new dataset with only the remaining rows.

For example, in SQL, you can use the WHERE clause to filter rows based on a specific value in a column. Here's an example query that selects all rows from a table called mytable, where the value in the column1 is not equal to 10:

SELECT *
FROM mytable
WHERE column1 <> 10;

This query returns all rows from mytable where the value in column1 is not equal to 10, effectively removing any rows where column1 contains the value 10.