Skip to content

Aggregation

ikb6 edited this page Sep 17, 2020 · 5 revisions

The Aggregation view is similar to the table view (in that it shows a sortable table), but it does one thing very differently. Instead of showing the raw Node, Link, or Cluster dataset, the Aggregation view takes a given variable, figures out all the different values that populate that variable within the dataset, and counts the number of members of the dataset with each value.

Example

To give a more concrete example, consider a node dataset which includes a "Gender" variable. If we open the aggregation view and select the "Node Gender" from the dropdown, we'll see a table which resembles the following:

Node Gender Number Percentage
Female 485 48.5%
Male 490 49.0%
Other 25 2.5%

Please note that these numbers are purely for example purposes

So, of the 1000 nodes in the dataset, 485 represent females, 490 represent males, and 25 represent people who didn't identify as either.

Multiple Aggregations

The Aggregate view enables you to view multiple such aggregations simultaneously. To do so, simple click "Add Variable" and select the variable you wish to see in the second table.

Settings for aggregation view

The tables can be sorted by dragging the up-and-down-arrow beside the variable drop down.

Aggregate view with three variables

Exporting

Aggregate view offers some export options which are unique to it:

  • PDF - a printable document showing the serialized tables.
  • XLSX - an Excel workbook containing one worksheet for each aggregate table.
  • CSV.ZIP - a zip file containing one CSV file for each aggregate table.
Clone this wiki locally