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Data Storytelling with Google Looker Studio

You're reading from   Data Storytelling with Google Looker Studio A hands-on guide to using Looker Studio for building compelling and effective dashboards

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Product type Paperback
Published in Oct 2022
Publisher Packt
ISBN-13 9781800568761
Length 464 pages
Edition 1st Edition
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Author (1):
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Sireesha Pulipati Sireesha Pulipati
Author Profile Icon Sireesha Pulipati
Sireesha Pulipati
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Table of Contents (17) Chapters Close

Preface 1. Part 1 – Data Storytelling Concepts FREE CHAPTER
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

Mortgage Complaints Analysis

The example dashboard in this chapter pertains to the analysis of American consumer complaints about mortgage products and services using the data provided by the Consumer Financial Protection Bureau (CFPB). This chapter will guide you through the process of building an operational dashboard that helps CFPB to monitor and analyze complaints data. While CFPB and the complaints data are real, the premise of the dashboard is made-up and rests on assumptions about the target audience and their objectives. The complaints database is available as a public dataset on BigQuery, Google’s Cloud data warehouse. A short primer on BigQuery is provided, which highlights its key features and how to use it for analytics. The dashboard building process involves three main stages – Determine, Design, and Develop.

In this chapter, we are going to cover the following topics:

  • Describing the example scenario
  • Introducing BigQuery
  • Building the...
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