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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

Product type Paperback

Published in Oct 2022

Publisher Packt

ISBN-13 9781800568761

Length 464 pages

Edition 1st Edition

Tools

Google Data Studio

Concepts

Business Intelligence

Author (1):

Sireesha Pulipati

View More author details

Table of Contents (17) Chapters

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

Why subscribe?

16. Other Books You May Enjoy

Technical requirements

To follow the example implementations in this chapter, you need to have a Google account that allows you to create reports with Looker Studio. Use one of the recommended browsers – Chrome, Safari, or Firefox. Make sure Looker Studio is supported in your country (https://support.google.com/looker-studio/answer/7657679?hl=en#zippy=%2Clist-of-unsupported-countries).

This chapter uses BigQuery, Google Cloud’s serverless data warehouse platform, as a data source in a couple of examples. If you do not already have a Google Cloud account with access to BigQuery, you can create a trial account (https://cloud.google.com/free), which provides $300 of credit for you to use on any Google Cloud resources. You need a valid credit card to enroll in the trial, but you will not be charged. Create a Google Cloud project to start using any resources.

BigQuery charges for the amount of data processed by the queries as well as for the storage of data. It has...

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Authors (1)

Sireesha Pulipati

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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