This example explores how you can use aggregation functions to calculate rank of values in a column.

Functions:

Source:

You have a set of student test scores:

StudentScore
Anna84
Ben71
Caleb76
Danielle87
Evan85
Faith92
Gabe87
Hannah99
Ian73
Jane68

Transformation:

You can use the following transformations to extract the 1st through 4th-ranked scores on the test:

Results:

When you reorganize the columns, the dataset might look like the following:

StudentScore1st2nd3rd4th3rdUnique4thUnique
Anna84999287878785
Ben71999287878785
Caleb76999287878785
Danielle87999287878785
Evan85999287878785
Faith92999287878785
Gabe87999287878785
Hannah99999287878785
Ian73999287878785
Jane68999287878785

Notes: