Analyzing Natality Data Using AI Platform and BigQuery
In this lab, you analyze a large (137 million rows) natality dataset using Google 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.
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- 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。
Invoke bigquery and run a query.
Create AI Platform Notebooks instance.
Run a query to get annual count of plural births by plurality
Run a query to get baby weight by gender
Run a query to get the weight of the baby which relates to the number of weeks of gestation.