Using R to Feed Google Analytics Data into BigQuery
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The document outlines the process of using R to interface with the Google Analytics API and upload data to BigQuery. It discusses the benefits of using R for data analysis, such as avoiding sampling and automating reporting processes. Additionally, it highlights best practices for accessing Google Analytics data with R and offers insights into further use cases and tools.
Using R to Feed Google Analytics Data into BigQuery
- 1. Using R to Feed Google Analytics Data into BigQuery Slides: https://bit.ly/3SNmp2y @DannySmAnalysis @Semetrical Danny Smith Semetrical
- 3. 1. The Google Analytics API 2. Why use R? 3. Accessing your GA data with R 4. Uploading your GA data to Big Query 5. Additional use cases What we’ll cover… #BrightonSEO @Semetrical
- 4. The Google Analytics API #BrightonSEO @Semetrical
- 6. • Automate reporting processes • Avoid sampling • Granular analysis • Send measurement protocol hits – not in reporting / data • Change configurations – not in reporting / data Some of the key uses of the APIs: #BrightonSEO @Semetrical
- 8. #BrightonSEO @Semetrical • Free • Quick analysis • No sampling • Avoids having to use SQL Why use the GA4 API?
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- 15. Statistics, data visualization and user- friendly interface The Benefits of R #BrightonSEO @Semetrical
- 16. Accessing your Google Analytics data with R #BrightonSEO @Semetrical
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- 18. 18 Setting your 4 key conditions following the API schema. Filter between UA and GA4 accordingly.
- 19. 19 1. GA ID 2. Date range 3. Metrics 4. Dimensions 5. Dimension filters – optional 6. Segments - optional
- 20. Uploading data to BigQuery with R #BrightonSEO @Semetrical
- 22. Uploading data to BigQuery with R #BrightonSEO @Semetrical 3 variables required for uploading data into BigQuery: • Project name • Dataset name • Table name Locate your destination & upload to BigQuery
- 24. Summary & Additional Use Cases #BrightonSEO @Semetrical
- 25. Overlay your Google Analytics data with additional data points i.e. use Google Trends API www.semetrical.com/using-ga-google-trends-api-with-r/
- 26. • Statistical packages • Create visuals using Shiny or ggplot (i.e. boxplots)
- 27. Automate reporting of Google Analytics data using cronR
- 28. Pull data from BigQuery with SQL
- 29. Download the deck from our blog & grab your free R code cheat sheet to start having a play today: https://bit.ly/3SNmp2y ds@Semetrical.com @DannySmAnalysis Thank you! #BrightonSEO @Semetrical