Pivot¤
The pivot operator takes data in separate rows, aggregates it and converts it into columns.
The operator works on a flat input schema only and creates a flat output schema.
A pivot table is a data summarization that is used to automatically sort, count, total, or average data in a dataset. It allows you to view the data from a different perspective.
The following aggregation (summary) functions are available:
- first - Shows the first value (works with numbers and strings)
- min - Shows the lowest value (works with numbers and strings)
- max - Shows the highest value (works with numbers and strings)
- sum - Adds up the values (works with numbers only)
- average - Finds the average of the values (works with numbers only)
Parameter¤
Pivot property¤
The pivot column refers to the column in the input data that is used to organize the data along the horizontal axis of the pivot table.
- Datatype:
string
- Default Value:
None
First group property¤
The name of the first group column in the range. All columns starting with this will be grouped.
- Datatype:
string
- Default Value:
None
Last group property¤
The name of the last group column in the range. If left empty, only the first column is grouped.
- Datatype:
string
- Default Value:
None
Value property¤
The property that contains the grouped values that will be aggregated.
- Datatype:
string
- Default Value:
None
Aggregation function¤
The aggregation function used to aggregate values.
- Datatype:
enumeration
- Default Value:
sum
URI prefix¤
Prefix to prepend to all generated pivot columns.
- Datatype:
string
- Default Value:
None