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Analyzing Natality Data Using Datalab and BigQuery

30时间允许 · 30为期
Connection Details

7 积分

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This lab costs 7 积分 to run. You can purchase credits or a subscription under My Account.

Analyzing Natality Data Using Datalab and BigQuery

GSP012

Google Cloud Self-Paced Labs

Overview

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:

369bf7e045b084ed.png

What you learn

In this lab, you:

  • Launch Cloud Datalab
  • Invoke a BigQuery query
  • Create charts 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 DataFrame, then work with the smaller Pandas DataFrame locally. Datalab provides a managed Jupyter experience, so you don't need to run notebook servers yourself.

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得分

—/10

Launch Cloud Datalab

Run Step

/ 5

Create a notebook

Run Step

/ 5

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