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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

Concepts

Business Intelligence

Author (1):

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

Why subscribe?

16. Other Books You May Enjoy

Technical requirements

To follow the example chart implementations in this chapter, you need to have a Google account so that you can create reports with Looker Studio. It is recommended that you use Chrome, Safari, or Firefox as your browser. Finally, make sure Looker Studio is supported in your country (https://support.google.com/looker-studio/answer/7657679?hl=en#zippy=%2Clist-of-unsupported-countries).

You can access the Looker Studio report that includes all the built-in charts that will be explored in this chapter at https://lookerstudio.google.com/reporting/6d1bddb7-9c1f-4869-bafe-499e4d05d411/preview, which you can copy and make your own. The completed “first Looker Studio report” that presents a simple dashboard depicting key call center metrics and patterns can be found at https://lookerstudio.google.com/reporting/b198dfb0-2b0b-43fc-9da4-19fc1e7362c5/preview.

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Authors (1)

Sireesha Pulipati

Sireesha Pulipati is an experienced data analytics and data management professional. She has spent the last decade building and managing data platforms and solutions, and is passionate about enabling users to leverage data to solve business problems. Sireesha holds a master's degree in Business Administration and a bachelor's degree in Electrical Engineering. Her work history spans multiple industries – healthcare, media, travel & hospitality, high-tech, and more. She is currently at Google as an analytics lead, helping with analytics strategy to support Search Knowledge Graph. Outside of work, Sireesha enjoys hiking and reading books. She currently resides in the Bay Area.

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