Pivot
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.Operatorsis the namespace in whichpivotmethod resides.pivotis the method appliedgroupConfigArr,pivotColumnandaggrConfigArrare 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:
column
Name of the column from the DataTable created using schema.
outputAs
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
outputAsis not applied, the column name remains the same as the previousDataTable.
timeUnit
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
timeUnitattribute at the time of date/time grouping.
Refer to the code below:
column: 'OrderDate',
timeUnit: FusionCharts.Utils.DatetimeUnits.Month
outputFormat
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
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.
startValueattribute is applicable only when you are applying grouping operation to date/time column.
weekStartFrom
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
binSize
As the name suggests, this attribute sets the size of the bin. The default value of this attribute is 1.
binSizeattribute 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:
column
Name of the column from the dataTable created using schema.
operation
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
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
outputAsis applied, the column name will be category name-outputAs value.
If the
outputAsis 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 |