In this example, we're dividing our cancelled subscriptions over our total subscriptions to calculate our churn rate, which is a common SaaS metric.
Create your two datasets where you wish to calculate a percentage. This is what my datasets look like:
After you've created your two datasets, make sure to use a Cross Join.
In the Data Pipeline, click +Add Step, then choose Add Column from the dropdown menu. Title your column, then enter the percentage formula, which is as follows:
100.0 * "Column1" / "Column2"
To round your percentage, use the SQLite round() function. Your formula will look like this:
round( 100.0 * "Column1" / Column2", 2)
Where 2 is the number of decimal places.
If your column values are integers and you would like your results to have decimal precision, be sure to multiply by 100.0. This will convert the top value to a decimal before the division step, and will ensure your results are in decimal form.
Our example looks as follows:
Click Ok, and your percentages will be calculated.