Analyzing Natality Data Using Datalab and BigQuery
In this lab you analyze a large (137 million rows) natality dataset using Google BigQuery and Cloud Datalab.
If you are not yet familiar with Datalab, here is a graphical cheat sheet for the main Datalab functionality:
What you learn
In this lab, you:
- Launch Cloud Datalab
- Invoke a BigQuery query
- Create graphs in Datalab
- Export data for machine learning
This lab illustrates how you can carry out data exploration of large datasets, but continue to use familiar tools like Pandas and Juypter. The trick is to do the first part of your aggregation in BigQuery, get back a Pandas dataset, then work with the smaller Pandas dataset locally. Datalab provides a managed Jupyter experience, so you don't need to run notebook servers yourself.
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