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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

Part 1 – Data Storytelling Concepts

Chapter 1: Introduction to Data Storytelling

Chapter 2: Principles of Data Visualization

Chapter 3: Visualizing Data Effectively

Part 2 – Looker Studio Features and Capabilities

Chapter 4: Google Looker Studio Overview

Chapter 5: Looker Studio Report Designer

Chapter 6: Looker Studio Built-In Charts

Chapter 7: Looker Studio Features, Beyond Basics

Part 3 – Building Data Stories with Looker Studio

Chapter 8: Employee Turnover Analysis

Chapter 9: Mortgage Complaints Analysis

Chapter 10: Customer Churn Analysis

Chapter 11: Monitoring Report Usage

Index

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Configuring pie and donut charts

Pie charts enable you to visualize data as parts of the whole. They are a good choice for depicting a few categories with largely varying proportions. In this section, we will learn how to configure pie charts and donut charts using the Call Center data source.

Looker Studio allows you to visualize up to 20 slices. However, depicting more than five slices usually wouldn’t be very useful or effective. Consider the pie chart on the left in the following figure. It represents the proportion of calls by the top 10 call reasons. The pie chart on the right provides a much better representation with fewer slices:

Figure 6.36 – A pie chart with too many slices (on the left) and a pie chart with an optimal number of slices (on the right)

The slices are automatically sorted by the decreasing order of the chart metric. If the number of dimension values is more than the number of slices configured, Looker Studio automatically...

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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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