Tech Blog

Creating a map visualization of Primo VE sessions by country in Data Visualization (DV)

In this blog post we will be using Primo Analytics Data Visualization (DV) to analyze which countries have users (and how many) accessing our Primo VE discovery.

See also YouTube video Displaying a map visualization with Primo Analytics Data Visualization

We will begin by using a table and the switch to a Map visualization.

While Alma Data Visualization and Primo VE Data Visualization are accessed from separate menu entries, the methods of using the Data Visualization is the same (it is the same Data Visualization but with different data).

1. First we will access the Data Visualization for Primo.  From within Alma “Choose Data Visualization (Primo)”.  This option is available for those institutions already using Primo VE.

2. Now we will create a workbook, which will contain a canvas with our desired visualizations. From within the Data Visualization create a workbook:

3. Now we will choose the relevant subject area for the workbook. In this case we are choosing subject area “Primo Sessions ”


4. Drag the “Country” from the “User Country Locations” folder and the “# Sessions” from the “Sessions” folder to the canvas.  Make it a table.

5. To see which are the biggest countries sort descending my number of sessions.



6. Let’s filter the sessions by only those with more than 100 per country.  Drag the session to the top filter section.



7.  Now we have a table with all countries that have more than 100 sessions .

8. Rather than change the table to a map, we will keep the table, duplicate it, and then change the second table to a map.  That way we will have both a table and map.

Right click > Edit > Duplicate Visualization



9. Change one of the visualizations to a map


10. Now we can see the map and table.  We can scroll in an out of the map, and see darker colors for countries with more sessions.


11. If we select a country on the map then we see the name of the country and the relevant row of the table also gets highlighted.




Leave a Reply