menu
arrow_back

Analyzing Natality Data Using AI Platform and BigQuery

Analyzing Natality Data Using AI Platform and BigQuery

30 分钟 7 个积分

GSP012

Google Cloud Self-Paced Labs

Overview

In this lab, you analyze a large (137 million rows) natality dataset using BigQuery and AI Platform.

What you learn

In this lab, you:

  • Launch AI Platform notebook
  • Invoke a BigQuery query
  • Create charts in Jupyter
  • 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 Jupyter. 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. AI Platform provides a managed Jupyter experience, so you don't need to run notebook servers yourself.

加入 Qwiklabs 即可阅读本实验的剩余内容…以及更多精彩内容!

  • 获取对“Google Cloud Console”的临时访问权限。
  • 200 多项实验,从入门级实验到高级实验,应有尽有。
  • 内容短小精悍,便于您按照自己的节奏进行学习。
加入以开始此实验
分数

—/100

Invoke bigquery and run a query.

运行步骤

/ 20

Create AI Platform Notebooks instance.

运行步骤

/ 20

Run a query to get annual count of plural births by plurality

运行步骤

/ 20

Run a query to get baby weight by gender

运行步骤

/ 20

Run a query to get the weight of the baby which relates to the number of weeks of gestation.

运行步骤

/ 20