Pivot table widgets in Decision Optimization experiments

You can add pivot tables in the Visualization view to display data from an existing (input or output) table aggregated in different ways.

To show data aggregated, select the table columns and rows that you want to display and select the appropriate aggregator to compute the data for each cell.

For example, the JSON code that is generated for a pivot table is as follows:

{
  "name": "",
  "type": "Pivot",
  "props": {
    "container": "Pivot2",
    "data": "party",
    "spec": {
      "config": {},
      "columns": [
        {
          "property": "Party Size",
          "label": "Party Size",
          "type": "Number",
          "visible": true,
          "width": 0,
          "style": {}
        }
      ],
      "rows": [
        {
          "property": "Payer Gender",
          "label": "Payer Gender",
          "type": "String",
          "visible": true,
          "width": 0,
          "style": {}
        },
        {
          "property": "Day of Week",
          "label": "Day of Week",
          "type": "String",
          "visible": true,
          "width": 0,
          "style": {}
        }
      ],
      "tableRenderer": "Table Row Heatmap",
      "aggregator": "Count Unique Values",
      "aggregatedCol1": "Tip"
    },
    "search": ""
  }
}

Table 1. Pivot-table widget specifications
Field	Description
`name`	The name of the widget
`type`	Pivot
`container`	The selected scenario
`data`	The name of the existing table to pivot
`columns`	An array of columns of the existing table that are used as pivot column headers
`rows`	An array of rows of the existing table that are used as pivot rows headers
`tableRenderer`	The type of table rendered. Choose from these options `Table`, `Table Heatmap`, `Table Col Heatmap`, and `Table Row Heatmap`
`aggregator`	The function that computes the cells from the chosen columns and rows. Several choices are available:`Count`, `Count Unique Values`, `List Unique Value`, `Sum`, `Integer Sum`, `Average`, `Median`, `Sample variance`, `Sample Standard Deviation`, `Minimum`, `Maximum`, `First`, `Last`, `Sum over Sum`, `Sum as Fraction of Total`, `Sum as Fraction of Rows`, `Sum as Fraction of Columns`, `Count as Fraction of Total`, `Count as Fraction of Rows`, `Count as Fraction of Columns`
`aggregatedCol1` `aggregatedCol2`	The name of the columns needed for those aggregators that require table columns to aggregate the data.`Count` aggregators require no such column name. The `Sum over Sum` aggregator requires 2 columns, and all other aggregators require one column.