Reputation: 33
I have a Google Data Studio table where the data range for the entire table is set using a control. It looks like this:
Page | Unique Views (after 7 days) | Unique Views (after 30 days) | Unique Views (after 90 days) |
---|---|---|---|
/page1.html | 9 | 9 | 9 |
/page2.html | 7 | 7 | 7 |
/page3.html | 7 | 7 | 7 |
But I'm trying to set a different date range for each Unique Pageviews column, so the data would look like this:
Page | Unique Views (after 7 days) | Unique Views (after 30 days) | Unique Views (after 90 days) |
---|---|---|---|
/page1.html | 9 | 32 | 101 |
/page2.html | 7 | 14 | 76 |
/page3.html | 7 | 21 | 37 |
I see how to set the date range at the report/control/table level (docs), but I haven't found a way to set the date range at the table column level.
Am I missing something or is this simply a limitation of Data Studio?
Upvotes: 2
Views: 1297
Reputation: 6471
One approach is to perform a blend with three tables (all from the same data source, in this scenario the sample Google Analytics data source), but each with a different custom date range, one for each date range required (7 days, 30 days and 90 days); each date range will be dynamic, shifting automatically, daily:
Table 1 | Table 2 | Table 3 |
---|---|---|
Dimension: Page |
Dimension: Page |
Dimension: Page |
Metric: Unique Views Rename with suffix (after 90 days) ![]() |
Metric: Unique Views Rename with suffix (after 30 days) ![]() |
Metric: Unique Views Rename with suffix (after 7 days) ![]() |
Date Range: Custom (Advanced - Last 90 Days)![]() |
Date Range: Custom (Last 30 Days)![]() |
Date Range: Custom (Last 7 Days)![]() |
![]() |
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Join Description | Table 1 🔗 Table 2 | Table 1 🔗 Table 3 |
---|---|---|
Join Operator | Left Outer | Left Outer |
Join Condition | Page (Table 1) 🔗 Page (Table 2) |
Page (Table 1) 🔗 Page (Table 3) |
Image | ![]() |
![]() |
To summarise, the blend will be:
Page
Unique Views (after 7 days)
Unique Views (after 30 days)
Unique Views (after 90 days)
Publicly editable Google Data Studio report (sample Google Analytics data source) and a GIF to elaborate:
Upvotes: 1