A Semetrical presentation delivered by Danny Smith at MeasureFest in October 2022.
Danny shares an efficient and effective way of connecting Google Analytics and BigQuery using some basic R coding.
R is a programming language designed for data analysis and statistical computing. Discover how to use the Google Analytics API’s and simple R commands to connect and export your GA data out of the platform and into BigQuery for deeper analysis.
10 Email Marketing Best Practices to Increase Engagements, CTR, And ROI
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
2.
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
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
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
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