The Google Analytics 4 (GA4) data type provides comprehensive analytical data for websites and mobile applications. It is possible to use a powerful data storage and querying tool such as Google BigQuery to further analyze and customize this data. In this article, we will describe a query you can use to detect duplicate events in BigQuery based on the GA4 data type.
When analyzing GA4 data, you may sometimes encounter situations where the same event is dispatched more than once. These repeated events can affect your analysis results and cause inaccurate data interpretations. Therefore, it is important to detect repeated events and correct them. In this article, we’ll explain a query you can use to detect repeated events in your GA4 dataset using BigQuery.
SELECT
event_name,
user_id,
event_timestamp,
COUNT(*) AS event_count
FROM
`proje_id.veri_kumesi.tablo_id`
GROUP BY
event_name,
user_id,
event_timestamp
HAVING
event_count > 1This query runs on the specified GA4 dataset (`project_id.data_source.table_id`). The query groups by fields `event_name` (event name), `user_id` (user ID) and `event_timestamp` (event timestamp) and counts the occurrences of events for each group.
This query detects repeated events based on event name, user ID and event timestamp. Results return rows containing details of repeated events. Using this information, you can examine the recurring events and take the necessary precautions.
Detecting duplicate events in BigQuery based on the GA4 data type is important to improve analysis accuracy and ensure data consistency. In this article, we have explained a query you can use to detect repeated events in your GA4 dataset. This query finds duplicate events based on event name, user ID, and event timestamp and helps you with your analysis process.
Note: You need to replace `project_id.data_source.table id` in the article with your own GA4 dataset and table names.
