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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
Author (1):
Sireesha Pulipati Sireesha Pulipati
Profile icon 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 Other Books You May Enjoy

Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: “BigQuery provides this information as part of the census_bureau_acs public dataset.”

A block of code is set as follows:

CREATE TABLE `datastudio-343704.data_viz.baseball_schedule`
AS
SELECT * FROM `bigquery-public-data.baseball.schedules

Bold: Indicates a new term, an important word, or words that you see onscreen. For instance, words in menus or dialog boxes appear in bold. Here is an example: “The SETUP tab is where you choose the appropriate data source and add different fields – dimensions and metrics that make up the chart.”

Tips or important notes

Appear like this.

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