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Data Storytelling with Google Looker Studio

You're reading from  Data Storytelling with Google Looker Studio

Product type Book
Published in Oct 2022
Publisher Packt
ISBN-13 9781800568761
Pages 464 pages
Edition 1st Edition
Languages
Author (1):
Sireesha Pulipati Sireesha Pulipati
Profile icon Sireesha Pulipati

Table of Contents (17) Chapters

Preface 1. Part 1 – Data Storytelling Concepts
2. Chapter 1: Introduction to Data Storytelling 3. Chapter 2: Principles of Data Visualization 4. Chapter 3: Visualizing Data Effectively 5. Part 2 – Looker Studio Features and Capabilities
6. Chapter 4: Google Looker Studio Overview 7. Chapter 5: Looker Studio Report Designer 8. Chapter 6: Looker Studio Built-In Charts 9. Chapter 7: Looker Studio Features, Beyond Basics 10. Part 3 – Building Data Stories with Looker Studio
11. Chapter 8: Employee Turnover Analysis 12. Chapter 9: Mortgage Complaints Analysis 13. Chapter 10: Customer Churn Analysis 14. Chapter 11: Monitoring Report Usage 15. Index 16. Other Books You May Enjoy

Summary

In this chapter, you learned how to access Looker Studio and understood its basic components. Looker Studio comprises four major entities – data sources, connectors, reports, and explorers. You use a connector to connect to the underlying dataset, be it Google Sheets, CSV files, Google Analytics, or anything else from the 500+ supported data platforms and systems. The connector creates a data source in Looker Studio, which is the logical representation of the underlying schema of the dataset. You can enrich the data source by modifying the data types, creating derived fields, and so on.

Reports are built using data from one or more data sources. You can explore data in a temporary environment called Explorer, which gets discarded at the end of your session by default. Explorers are private to you. You can choose to add your explorations to a report for sharing purposes. We reviewed how to create and work with data sources, reports, and explorers. We briefly touched...

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