Pivot is an operator which converts one tabular expression into another - more specifically, from row to column level.

The syntax to apply pivot to the DataTable is given below:

FusionCharts.DataStore.Operators.pivot(groupConfigArr, pivotColumn, aggrConfigArr);

In the above code:

  • FusionCharts.DataStore.Operators is the namespace in which pivot method resides.
  • pivot is the method applied
  • groupConfigArr, pivotColumn and aggrConfigArr are the arguments

Pivot method takes three arguments which are:

  • An array of the group by configurations

  • Name of the Pivot column.

  • An array of the aggregation configurations

Groupby Configuration

In the first argument of the pivot method, each group of configuration object can have the following attributes:


Name of the column from the DataTable created using schema.


outputAs is an attribute used to rename the column on which pivot has been applied. The renaming of the column reflects on the new dataTable created after pivot.

If outputAs is not applied, the column name remains the same as the previous DataTable.


This attribute is only applicable if you group on date/time. This attribute specifies how the date column should be grouped. For example, if you set timeUnit to Month, the grouping will be applied month wise. The month is one of the DatetimeUnits enum and not any random string.

DateTimeUnits is a separate enum of FusionCharts.Utils. DateTimeUnits consists of:

  • Year
  • Quarter
  • Month
  • Week
  • Day
  • Hour
  • Minute
  • Second
  • Millisecond

It is mandatory to set the unit using timeUnit attribute at the time of date/time grouping.

Refer to the code below:

column: 'OrderDate',
timeUnit: FusionCharts.Utils.DatetimeUnits.Month


outputFormat attribute is used to set the format of the column being grouped. To set the date/time format of the chart, set the value of outputFormat attribute as per your requirement.

If the outputFormat of the data is not specified, the default date/time format is as listed below:

DateTimeUnits Format Output Example
Year %Y 2018
Month %b %Y Jan 2018
Day %b %d, %Y Jan 01, 2018
Hour %b %d, %Y %H hrs Jan 01, 2018 23 hrs
Minute %b %d, %Y %H:%M Jan 01, 2018 23:34
Second %b %d, %Y %H:%M:%S Jan 01, 2018 23:34:26
Millisecond %b %d, %Y %H:%M:%S:%L Jan 01, 2018 23:34:26:123


startValue attribute specifies the starting point of the binning. If you don't apply this attribute while grouping, the lowest available value is used as the starting point.

startValue attribute is applicable only when you are applying grouping operation to date/time column.


weekStartFrom attributes specifies the weekday from where you want to start the week at the time of grouping. This attribute is applicable only when weekly binning is applied at the time of grouping.

Weekdays is a separate enum of FusionCharts.Utils. Weekdays consists of:

  • Sunday
  • Monday
  • Tuesday
  • Wednesday
  • Thursday
  • Friday
  • Saturday


As the name suggests, this attribute sets the size of the bin. The default value of this attribute is 1.

binSize attribute is applicable only when you are applying grouping operation to date/time column.

For example:

    column: 'Import date',
    timeUnit: FusionCharts.Utils.DatetimeUnits.Week,
    weekStartsFrom: FusionCharts.Utils.Weekdays.Monday,
    binSize: 2,
    startValue: +new Date(2018/1/15),
    outputAs: 'Fortinightly sum of imports'

In the above code, binSize attribute has been set to 2, which means every bin has 2 weeks data (as the timeUnit has been set to Week). The bin calculation starts from startValue which has been set to a particular date.

Pivot Column

This argument accepts the column name on which the Pivot operation will be applied.

Aggregation Configuration

In the second argument of the groupBy method, you can apply the following attributes to each group of configuration:


Name of the column from the dataTable created using schema.


operation is an attribute which applies the mathematical operation to the column on which it is applied. It accepts string value. The list of values accepted by this attribute are:

  • sum

  • avg

  • count

  • min

  • max

  • first

  • last

  • variance

  • stddev


outputAs is an attribute which is used to rename the column, on which pivot has been applied. The renaming of the column reflects in the new DataTable created after pivot.

If the outputAs is applied, the column name will be category name-outputAs value.

If the outputAs is not applied, the column name will be category name-previous column name-operation.

Now, lets apply pivot operation to the DataTable given below:

OrderID Category Name Customer Country Customer Continent Total Purchase Amount
10248 Beverages France Europe 168
10253 Beverages Brazil South America 704.8
10518 Beverages Mexico North America 3952.5
10250 Condiments Brazil South America 251.85
10251 Condiments France Europe 336
10262 Condiments USA North America 203.8
10252 Confections Belgium Europe 2591.95
10253 Confections Brazil South America 640
10332 Confections Canada North America 121.4

The data structure to apply pivot is shown below:

var pivotFn = pivot([
        column: 'Category Name',
    'Customer Continent',
        column: 'Total Purchase Amount',
        operation: 'sum'

The new DataTable after running the above code looks like:

Category Name Europe North America South America
Beverages 168 3952.5 704.8
Condiments 336 203.8 251.85
Confections 2591.95 121.4 640