Forum Discussion
Problem with Google Analytics data
- 6 years agoThanks @v-eachen-msft , By the way, I find a brief job to fix this problem, in the advanced editor you must add this code: #"samplingLevel" = HIGHER_PRECISION in each GA table,meanwhile vote in this post https://ideas.powerbi.com/forums/265200-power-bi-ideas/suggestions/39361177-data-credential-issues-i... with the same problem
Thanks v-eachen-msft
I found and vote in this post https://ideas.powerbi.com/forums/265200-power-bi-ideas/suggestions/39361177-data-credential-issues-inconsistency-in-data-whe with the same problem
- CmdrKeene6 years agoHelper IV
Thanks for posting this andrescaso - I'm also trying to resolve some similar Google Analytics issues.
Another post had mentioned adding this:
samplingLevel= "LARGE",
While yours shos to add:
#"samplingLevel" = HIGHER_PRECISIONWhich one is the proper syntax? Do quote marks belong around the "samplingLevel" parameter name, or the value (large or higher_precision)?
Also do you know where the values are documented? What's the difference between large and higher_precision?
- andrescaso6 years agoResolver I
Hi CmdrKeene
you can find the info in the support or GA, in this URL https://developers.google.com/analytics/devguides/reporting/core/v3/reference?hl=en#samplingLevel
mmm the value "LARGE" a think is not valid value
I copy for you the explanation of this parameter:
samplingLevel
samplingLevel=DEFAULTOptional.Use this parameter to set the sampling level (i.e. the number of sessions used to calculate the result) for a reporting query. The allowed values are consistent with the web interface and include:- DEFAULT — Returns response with a sample size that balances speed and accuracy.
- FASTER — Returns a fast response with a smaller sample size.
- HIGHER_PRECISION — Returns a more accurate response using a large sample size, but this may result in the response being slower.
Regards- CmdrKeene6 years agoHelper IV
I so far can't seem to retrieve valid results (matching the Google Analytis website) no matter what I try. I think I must just have too much data to query in this way.