Geospatial data is a powerful tool for gaining insights into everything from customer behavior to environmental patterns. BigQuery allows you to store and analyze this location data using standard SQL, and bringing that data into a Colab notebook gives you the flexibility to combine BigQuery's power with popular Python visualization libraries. This approach is perfect for ad-hoc or iterative analysis. In this video, we'll give you an overview of these capabilities and walk through a demo of how you can analyze and visualize your geospatial data. We'll use San Francisco public datasets to create scatter plots, choropleths, and heatmaps, all from within an interactive Colab notebook.
Make a copy of the Colab notebook to try for yourself → goo.gle/bq-geospatial-colab
Learn more in the documentation → goo.gle/bq-geospatial-intro
#bigquery #colab #geospatial
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Products Mentioned: BigQuery, Colab