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.
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.
This scenario demonstrates:
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:
department
field.title
field.id
field.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"
)
Aggregate Data by Multiple Fields and Display in a Chart