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Usage

The following shows how the step can be used in a recipe.

Examples

  • Signature
General syntax for using the step in a recipe. Shows the inputs and outputs the step is expected to receive and will produce respectively. For futher details see sections below.
create_compare_insight(, {
    "param": value,
    ...
})

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Inputs & Outputs

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").

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Configuration

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).

Parameters

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title
string
required
Title of the insight.
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columns
array[string]
required
Columns from which the insight is created.
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Item
string
Each item in array.
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hiddenColumns
array[string]
Columns that will not be used to create the insight.
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Item
string
Each item in array.
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insightThemeMode
string
Theme mode applied to the whole insight.Values must be one of the following:
  • dark
  • light
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isExpanded
boolean
Sets the correlation graph as expanded. If true, the insight will contain an expanded chart in order to show the maximum number of categories possible.
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sortingOrder
string
Useful to choose the ordering kind of the columns, by difference or by similarity.Values must be one of the following:
  • differentFirst
  • similarFirst
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replayDisabled
[string, boolean]
default:"false"
Indicates if the insight can replay its original state or not.Values must be one of the following:
  • drillDown
  • directSelectionInGraph
  • nonPersistedColumn
  • True
  • False
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representation
string
required
Sets the visualization type. In relative and absolute modes the comparing segments will be rendered as charts, but in tabular mode a table is shown.Values must be one of the following:
  • relative
  • absolute
  • tabular
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elements
array[object]
Type and appearance of an insight’s elements. A list in which each item is an object configuring the appearance of a particular insight element.
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kind
string
Specify the type of element.Values must be one of the following:TITLE DESCRIPTION CHART GRAPH STATS LEGEND LEGEND_COLOR_SCALE TABLE_CHART
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text
string
The text shown for this insight element.
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hidden
boolean
Element visibility.
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layout
object
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.
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x
integer
Horizontal position of the element’s top-left corner. In increments of 1; 0 being the left-most and 8 the right-most position.Values must be in the following range:
-1 ≤ x ≤ 11
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y
integer
Vertical position of the element’s top-left corner. In increments of 1; 0 being the top-most and 11 the bottom-most position.Values must be in the following range:
0 ≤ y ≤ 11
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w
integer
The width of the element (in increments of 1).Values must be in the following range:
0 ≤ w ≤ 12
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h
integer
The height of the element (in increments of 1).Values must be in the following range:
0 ≤ h ≤ 9
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column
string
Name of the column containing the data to be used in this insight element. Required if the element is of type CHART or STATS.
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comparingSegments
array[object]
required
Array of segments to use in the insight.
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mode
string
Defines some behavior in the UI for this comparing segment.Values must be one of the following:
  • VALUES
  • RANGE
  • EVERYTHING
  • SELECTION
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useInRelevance
boolean
Specify if the comparing segment column was used in the relevance analysis or not.
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column
[string, null]
Main column from which the insight is created.
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values
array[['number', 'string']]
Selection Values. In categorical and text columns, a selection of single values can be made and this type is useful to do that.
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Item
[number, string]
Each item in array.
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range
array[['number', 'string']]
Selection Range. This type is useful for quantitative columns, in which a selection of values in range can be made.
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Item
[number, string]
Each item in array.
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