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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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Charts in Looker Studio – an overview

Looker Studio offers different chart types to visualize data. Built-in charts are components that Looker Studio provides as part of the tool, which you can configure to visualize data. At the time of writing, there are 36 built-in chart types and variations available in Looker Studio under the categories of Table, Scorecard, Time series, Bar, Pie, Google Maps, Geo chart, Line, Area, Scatter, Pivot table, Bullet, Treemap, and Gauge.

Collectively, these chart types address most data visualization needs. If your use case requires a chart type beyond these built-in types, Looker Studio allows you to create custom visualizations using JavaScript libraries. Such custom chart types are called community visualizations. You can also use custom visualizations created by others and made available to all through Looker Studio’s Report Gallery (https://lookerstudio.google.com/gallery?category=visualization). We will explore community visualizations...

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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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