The following are the inputs expected by the step and the outputs it produces. These are generally
columns (ds.first_name), datasets (ds or ds[["first_name", "last_name"]]) or models (referenced
by name e.g. "churn-clf").
The following parameters can be used to configure the behaviour of the step by including them in
a json object as the last “input” to the step, i.e. step(..., {"param": "value", ...}) -> (output).
Configure categories to hide in the filter view of categorical variables.
Categories less frequent than the configured threshold will not appear in the UI.
A list of threshold configurations.
A categorical column can have two kinds of thresholds determining whether specific categories will be
hidden from its view in the UI: a minimum number of rows in the current selection below which a category
will be hidden, or a minimum number of rows in the whole dataset (everything).
The thresholds parameter should be a list containing 1 or 2 objects: the configuration of a selection
threshold, and/or the configuration of a threshold for everything.
Configure categories to be discarded (hidden) in terms of their occurrence in the whole dataset.
Categories with a number (or percentage) of rows in the whole dataset less than value will be discarded (hidden from the variable’s filter view).
Visual representation mode of the insight’s columns.
For each column select whether to show it as a list or bar chart.
By default, all column representations are “barChart”.
The element’s position and size.
The position refers to the top-left corner of the rectangle representing the insight element,
while the size is given by its width and height. For reference, the entire insight is 12 units
wide and 9 units high, and the origin (0, 0) of the x/y coordinates is in its top-left corner.
