问题
I have a table in Google Data Studio with the following data:
Date Users 1-Mar-18 616 2-Mar-18 632 3-Mar-18 550 4-Mar-18 567 5-Mar-18 688 6-Mar-18 1,844 7-Mar-18 788 8-Mar-18 2,153 9-Mar-18 1,469 10-Mar-18 554 11-Mar-18 448 12-Mar-18 861 13-Mar-18 1,578 14-Mar-18 823 15-Mar-18 628 16-Mar-18 556 17-Mar-18 292 18-Mar-18 311 19-Mar-18 635 20-Mar-18 1,966 21-Mar-18 1,111 22-Mar-18 748 23-Mar-18 610 24-Mar-18 366 25-Mar-18 359 26-Mar-18 720 27-Mar-18 2,103 28-Mar-18 879 29-Mar-18 664 30-Mar-18 562 31-Mar-18 272
If you sum the "Users" you will come up with 26353 as a total. However, if you check the "Show summary row" box on the "Data" tab for the table, the "Grand Total" for users is listed as 20,997.
Furthermore, if I create a scorecard with "Users" as the metric over the same date period, I get 20,997 as the total number of Users. However, if I reduce the date period to cover any single day, I will get the same value value for users for that day as I see in the table (e.g. A scorecard on Users with a date range from March 1 to March 1 will show 616 Users).
I am not sure where this difference is coming from, and I'm not sure which number to trust.
回答1:
This is because of your breakdown dimension (date). Google Analytics does its best to deduplicate users. So, if you're looking at the whole month, it will tell you that you had 20,997 users. But if you add a specific day to the mix and some of those users came back multiple times, then you'll necessarily have a higher number. Each of those users is only counted once for the aggregate number, but when split out by day, they may be listed several times.
来源：https://stackoverflow.com/questions/49662599/grand-total-is-wrong-in-google-data-studio