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  1. Using Distributional
  2. Testing
  3. Using Filters

Filters in the Compare Page

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Filters can be written at the top of the compare page, which is accessible from the project detail page. Users write filters to select for only the rows they wish to visualize / inspect.

Below is a list of DBNL defined functions that can be used in filter expressions:

function name
aliases
description

and

Logical AND operation of two or more boolean columns

or

Logical OR operation of two or more boolean columns

not

Logical NOT operation of a boolean column

less_than

['lt']

Computes the element-wise less than comparison of two columns. input1 < input2

less_than_or_equal_to

['lte']

Computes the element-wise less than or equal to comparison of two columns. input1 <= input2

greater_than

['gt']

Computes the element-wise greater than comparison of two columns. input1 > input2

greater_than_or_equal_to

['gte']

Computes the element-wise greater than or equal to comparison of two columns. input1 >= input2

equal_to

['eq']

Computes the element-wise greater than or equal to comparison of two columns

Here is an example of a more complicated filter that selects for rows that have their loc column equal to the string 'NY' and their respective churn_score > 0.9:

and(gt({RUN}.churn_score, 0.9), equal_to({RUN}.loc, 'NY'))

Use single quotes ' for filtering of string variables.