Entropy

Entropy is a way to calculate the amount of "disorder" in a non-numeric column. Lower entropy indicates less disorder, while higher entropy indicates more.

The calculation for Shannon's entropy is: H = -Sum[ P(xi) * log2( P(xi)) ]

Parameters

Name	Type	Description	Is Optional
group_by	column_list	Columns to group by
columns	column_list	Columns to calculate entropy on. Must be non-numeric.

Example

ds = rasgo.get.dataset(id)

ds2 = ds.entropy(group_by=['FIPS'], columns=['NAME', 'ADDRESS'])
ds2.preview()

Source Code

RasgoTransforms/rasgotransforms/rasgotransforms/transforms/entropy/entropy.sql at main · rasgointelligence/RasgoTransformsGitHub