Rolling data applies time-based calculations to come up with event count averages over time. Use rolling data to add data averages to the existing event count data in a Standard report. This data adds averages to your standard report so you can identify trends for a defined period that you might not see otherwise. 

Applying Rolling Data averages to your report (such as same-day average), provides an immediate comparison of instance data, to data averages for a defined range of time.

Rolling data averages in a standard report

Rolling data is calculated and added to a standard report as an average of the previous selected values. The selected value can be a previous chosen number of days or it can be for a day of the week (for example, going back 9 Tuesdays).

Select Previous days average to compare the current data count, with a data count average from a previous chosen number days.

Select Same day of week average to compare how the data count for a Tuesday (or any other day of the week), compares to the average from the previous chosen number of Tuesdays.

Add rolling data to your standard report

If you add an Hour of Day, Day and Hour, or Day dimension to the chart, you must also add a Day dimension to the chart to enable the adding of functions.

Functions cannot be used in the same report as Top N filtering. You cannot use non-calendar dimensions in the report.

1. Open the Standard report to which you want to add Rolling Data averages.
2. Expand the right-side panel and select the metric (from the METRICS section) to which you want to add Rolling Data averages.
3. In the right-side panel, click the edit icon next to Rolling Data.
4. Select the function for calculating the rolling data average and click Apply.