I am trying to export some google analytics events from GCP BigQuery to Google Data Studio. The events-timestamp field is in milliseconds since epoch format. However when it is imported to Data Studio, it looses the precision and gets rounded to the nearest day at 12:00 AM. How do I handle the import correctly ?
One way to display a DateTime field is to go to the Data Source and change the Date Type from the default YYYYMMDD to Date Hour Minute YYYYMMDDhhmm:
GIF to elaborate:
Related
I have some data from CRM and I wanna use Offline Event Data in Data Import of GA 4 to insert CRM's "offline data".
In CSV files that I imported multiple times, All things are good, but although no error found, "timestamp_micros" of events did not appear in results after near 24 hours and time of upload is considered as timestamp of data.
Is this format for "Timestamp_micros" is TRUE?
2021-04-08T22:25:09.335541+02:00
How can I add timestamp dimension on import data offline in Google Analytics 4? Can be done without using GTM?
I expect that timestamp related to each event would appear correctly in results and reports.
That documentation page
https://support.google.com/analytics/answer/10325025?hl=en#template
gives an example
As you see it's a Unix time format
I have created a GA report in the Google Spreadsheets. I want to import data for the previous month, but I can only set the range of dates or the number of the days.
Is it possible to set the date as a “previous month” (using filter or regular expression ...).
There is no such parameter as “previous month” in the API.
No, the only relative dates expressions are:
today, yesterday or NdaysAgo
But please tell us more about on how you make the queries from GA to SpreadSheets. If you are using Google Apps Script or python for example you can get relative dates as a variable and add them to the query.
I need to get an event date and a system write date from an event so that I can sync the data with my server. I can see the date dimension but its only one value and I want to confirm is that the event date or the system date and is there maybe a another dimension to be able to access the system date.
Google Analytics contains / records only one date dimension. This is the date and time the hit was recorded.
I am not sure why you would think there would be a difference between event date and a system write date
When requesting BigQuery 'SEC_TO_TIMESTAMP(visitStartTime)', I'm getting strange (no consistency) results for the 'visitStartTime'.
My question is: is the timestamp associate with BigQuery results which are displayed for the Google Analytics are linked to set up of view Time zone country or territory's view?
Thanks four your kindly help,
Sébastien
visitStartTime and all other similar fields are Unixtime-seconds since 1970, which is a timezone free notation, as it's UTC. https://support.google.com/analytics/answer/3437719?hl=en&ref_topic=3416089
To further convert to any timezone you need to use a timezone function.
I would like to obtain data via the Google analytics api (Java). Every half an hour once I would be running a script which needs to get me the required variables over the previous half an hour, that is details of the person who has used my site over the last half hour. I do not know if this is possible since the start date and end date parameters can be used only in date format and not in datetime format. How should I proceed with this? Thanks in advance
Google Analytics core reporting API provides 2 dimensions which are the hour and the minute. This should allow you to accomplish what you want, just make sure to wait till the hour and minute you are querying are updated.
Check
https://developers.google.com/analytics/devguides/reporting/core/dimsmets#view=detail&group=time&jump=ga_hour