- Lab
- Cloud
- Data
Using BigQuery to Explore and Analyze Data
In this hands-on lab, we'll use BigQuery—GCP's powerful data warehousing, analysis, and machine learning tool—to gain deeper insight into a dataset. We'll analyze the breadth and depth of the data and then look for patterns and surprising or interesting values.
Path Info
Table of Contents
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Challenge
Access BigQuery
Navigate to the Google Cloud Platform and access BigQuery.
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Challenge
Add the Chicago Taxi Trips Dataset
Add the Chicago Taxi Trips Dataset to your BigQuery collections.
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Challenge
Examine the Dataset Schema
Examine the dataset schema, and take note of important values such as the important columns and their types.
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Challenge
Examine the Dataset Details
Examine the dataset details, including the number of rows contained in the table.
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Challenge
Query the Data
Test running queries against the dataset.
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Challenge
Count Rows where Fare Is Not Null
Count the number of rows where the fare is not null.
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Challenge
Find Correlations between Fare and Other Columns
Find the Pearson coefficient between the fare and other numeric columns of interest.
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Challenge
Find Average Fare
Find the average fare across a large subset of data.
What's a lab?
Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.
Provided environment for hands-on practice
We will provide the credentials and environment necessary for you to practice right within your browser.
Guided walkthrough
Follow along with the author’s guided walkthrough and build something new in your provided environment!
Did you know?
On average, you retain 75% more of your learning if you get time for practice.