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Aggregate Node

In simple terms, aggregation means gathering and combining data to get a clearer overall result or summary. Imagine you have a bunch of small pieces of data, like daily sales from a store. Instead of looking at each day's sales separately, you group them together to get a total for the week or month. This helps you see the bigger picture more easily.

Node Name

TitleDescriptionType
Node NameTo set the Node's nameText Field

Aggregate Config

TitleDescriptionType
TableTo select the data table, you wish to perform your aggregation on.Single Select Dropdown

Data Filter

TitleDescriptionType
If FunctionFilter to specify what information to read from the table. It is set in an If function schema as described below.

If <Column Name of the Specified Table> <Comparative Function> <Text Field with Variable Button>
Column Name of the Specified TableLists out all the column name for the user to selectSingle Select Dropdown
Comparative FunctionLists out the following comparative functions for user to select:
1. is equals to
2. is not equals to
3. is less than or equals to
4. is more than or equals to
5. is less than
6. is more than
Single Select Dropdown
Text Field with Variable ButtonTo set the identifier of that specific filterText Field
Add ConditionAdds another If Function with "And" as the conditionButton
Add Group "··"Adds another If Function with "Or" as the conditionButton
Add Group "+"Creates a row for you to select the way you want to group the data. All rows with the exact same values will be selected.Button
Add OperationCreates a row of single select dropdown options for the operation you wish to do, as well as the column you wish to apply the operation to.

Operation
Choose the mathematical operations you wish to apply on the column of your choosing.
- Sum
- Count
- Maximum
- Minimum
- Average

Column ID
This is where you choose which column of the data table you wish to perform the operations of aggregation on.
Button

Example of Aggregation

Data table of Fruit sales with 3 columns; Fruit Name, Price, Category-of-Fruit, Date-of-Purchase.