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Aggregate Data by Multiple Fields and Display in a Chart

Tip:  Interface patterns give you an opportunity to explore different interface designs. Be sure to check out How to Adapt a Pattern for Your Application.

Goal

Aggregate data by multiple fields and display it in a stacked column chart. In this pattern, we will calculate the total number of employees for each title in each department and display it in a stacked column chart.

Note:  This expression uses direct references to the Employee record type, created in the Records Tutorial. If you've completed that tutorial in your environment, you can change the existing record-type references in this pattern to point to your Employee record type instead.

image of a stacked column chart with 5 columns

This scenario demonstrates:

  • How to aggregate data by multiple fields and display in a column chart

Create this pattern

You can easily configure a chart in design mode when you use a record type as the source.

To create this pattern in design mode:

  1. Open a new or empty interface object.
  2. From the PALETTE, drag a Column Chart component into the interface.
  3. From Data Source, select RECORD TYPE and search for the Employee record type.
  4. Under Primary Grouping, select the department field.
  5. Click ADD GROUPING.
  6. Under Secondary Grouping, select the title field.
  7. Under Measure, use the dropdown to select Count of, then select the id field.
  8. From Stacking, select Normal.
  9. For the X-Axis Title, enter Department.
  10. For the Y-Axis Title, enter Number of Employees.

Your resulting expression will look something like this:

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  a!columnChartField(
    data: recordType!Employee,
    config: a!columnChartConfig(
      primaryGrouping: a!grouping(
        field: recordType!Employee.fields.department,
        alias: "department_primaryGrouping"
      ),
      secondaryGrouping: a!grouping(
        field: recordType!Employee.fields.title,
        alias: "title_secondaryGrouping"
      ),
      measures: {
        a!measure(
          function: "COUNT",
          field: recordType!Employee.fields.id,
          alias: "id_count_measure1"
        )
      },
      dataLimit: 100
    ),
    label: "Column Chart",
    xAxisTitle: "Department",
    yAxisTitle: "Number of Employees",
    stacking: "NORMAL",
    showLegend: true,
    showTooltips: true,
    labelPosition: "ABOVE",
    colorScheme: "CLASSIC",
    height: "MEDIUM",
    xAxisStyle: "STANDARD",
    yAxisStyle: "STANDARD"
  )

Test it out

  1. Hover over each of the stacked department data to see a breakdown of the title of employees in that department

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