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Data Exploration and Preparation with BigQuery

You're reading from  Data Exploration and Preparation with BigQuery

Product type Book
Published in Nov 2023
Publisher Packt
ISBN-13 9781805125266
Pages 264 pages
Edition 1st Edition
Languages
Author (1):
Mike Kahn Mike Kahn
Profile icon Mike Kahn
Toc

Table of Contents (21) Chapters close

Preface 1. Part 1: Introduction to BigQuery
2. Chapter 1: Introducing BigQuery and Its Components 3. Chapter 2: BigQuery Organization and Design 4. Part 2: Data Exploration with BigQuery
5. Chapter 3: Exploring Data in BigQuery 6. Chapter 4: Loading and Transforming Data 7. Chapter 5: Querying BigQuery Data 8. Chapter 6: Exploring Data with Notebooks 9. Chapter 7: Further Exploring and Visualizing Data 10. Part 3: Data Preparation with BigQuery
11. Chapter 8: An Overview of Data Preparation Tools 12. Chapter 9: Cleansing and Transforming Data 13. Chapter 10: Best Practices for Data Preparation, Optimization, and Cost Control 14. Part 4: Hands-On and Conclusion
15. Chapter 11: Hands-On Exercise – Analyzing Advertising Data 16. Chapter 12: Hands-On Exercise – Analyzing Transportation Data 17. Chapter 13: Hands-On Exercise – Analyzing Customer Support Data 18. Chapter 14: Summary and Future Directions 19. Index 20. Other Books You May Enjoy

Visualizing BigQuery data using Looker Studio

Visualizing data is an essential step in your data exploration and analysis work. It allows you to gain insights, discover patterns, and communicate findings to stakeholders. We will use Looker Studio (https://cloud.google.com/looker-studio), formally known as Data Studio, in this section. Looker Studio enables an out-of-the-box native integration to BigQuery and makes it easy to visualize data quickly. It is free to use with any Google account and easy to share reports and enable collaboration if your organization uses Google Workspace.

Creating the right visualizations

Choosing the right visualization approach is important in communicating insights and patterns hidden within your BigQuery data. The appropriate visualization technique can bring clarity to complex datasets, highlight trends, and aid in decision-making. Before creating visualizations, it is essential to have a clear understanding of your data and the objectives you...

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