Aggregation
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.
To give a more concrete example, consider a node dataset which includes a "Co-infection with flu" variable. If we open the aggregation view and select the "Co-infection with flu" from the dropdown, we'll see a table which resembles the following:
| Co-infection with flu | Number | Percentage |
|---|---|---|
| Yes | 485 | 48.5% |
| No | 490 | 49.0% |
| Untested | 25 | 2.5% |
Please note that these numbers are purely for example purposes
So, of the 1000 nodes in the dataset, 485 have co-infection with flu, 490 do not, and 25 represent those who were not tested.
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.
The tables can be sorted by dragging the up-and-down-arrow beside the variable drop down.
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.