Aggregating data
Visualizing data involves presenting aggregated values of the data you have loaded. Examples of aggregated values are sums, averages, counts of occurrences, or results from various statistical calculations. That is, they represent collections of data as single values. In most cases, the data to aggregate is numerical, but also non-numerical data can be aggregated.
About this task
The resulting values of an aggregation reflect the current data. That is, when you filter the data, a re-calculation takes place instantly, and the visualization updates.
You specify which aggregation to use on the axis' column selector.
Before you begin
The data column of interest has been specified in the column selector.
Procedure
Examples of aggregations

First, data in the numerical column 'Amount' is aggregated using Sum and Avg (average), respectively.


For a list of available aggregations, see Aggregations and statistical measures. You can also define your own aggregations by making your own calculations.
Missing Aggregation Menu?
Some visualizations, for example scatter plots, are not aggregated by default, when using in-memory data. Instead, they show one item per row ("Marker by" is set to (Row Number)) and the aggregation menu is not available in the axis selector.
About this task
Procedure
- To show the aggregation menu in an unaggregated scatter plot, either remove the (Row Number) selection from Marker by or use the column by which you want to aggregate on the Marker by selector.
- Specify the aggregation as described above.

