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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

Working with data sources

A data source is a foundational element in Looker Studio that lets you explore data and build reports. It is the logical representation of the physical data that resides in external systems such as files, databases, data warehouses, applications, and so on. It defines the schema of the fields sourced from the underlying dataset. It allows you to rename as well as update the data types and formats of the fields. You can also add calculated fields and metrics to enrich the dataset. All this results in a logical data model that facilitates analysis and reporting. Data sources in Looker Studio enable you to create a consistent definition of metrics and representation of data across reports.

Creating a data source

A data source in Looker Studio can be created in two ways: from within a report or directly from the home page. When the data source is created while creating or editing a report, it is scoped for just that report and is referred to as an embedded...

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