google_analytics_bq: google_analytics_bq

Description

Turn a google_analytics style call into BigQuery SQL. Used with Google Analytics 360 BigQuery exports.

Usage

google_analytics_bq(projectId, datasetId, start = NULL, end = NULL, metrics = NULL, dimensions = NULL, sort = NULL, filters = NULL, max_results = 100, query = NULL, return_query_only = FALSE, bucket = NULL, download_file = NULL)

Arguments

projectId

The Google project Id where the BigQuery exports sit

datasetId

DatasetId of GA export. This should match the GA View ID

start

start date

end

end date

metrics

metrics to query

dimensions

dimensions to query

sort

metric to sort by

filters

filter results

max_results

How many results to fetch

query

If query is non-NULL then it will use that and ignore above

return_query_only

Only return the constructed query, don't call BigQuery

bucket

if over 100000 results, specify a Google Cloud bucket to send data to

download_file

Where to save asynch files. If NULL saves to current working directory.

Value

data.frame of results

Details

All data will be unsampled, and requests will cost money against your BigQuery quota.

Requires installation of bigQueryR and authentication under ga_bq_auth() or googleAuthR::gar_auth() with BigQuery scope set. View your projectIds upon authentication via bqr_list_projects

No segments for now.

Goals are not specified in BQ exports, so you need to look at how you define them and replicate per view e.g. unique pageviews or unique events.

Custom dimensions can be specified as sesion or hit level, so ignoring the setting in GA interface.

You can get a sample Google Analytics dataset in bigquery by following the instructions here: https://support.google.com/analytics/answer/3416091?hl=en

Description

Usage

Arguments

Value

Details

See Also