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Data Storytelling with Google Looker Studio

Data Storytelling with Google Looker Studio

By : Sireesha Pulipati
5 (7)
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Data Storytelling with Google Looker Studio

Data Storytelling with Google Looker Studio

5 (7)
By: Sireesha Pulipati

Overview of this book

Presenting data visually makes it easier for organizations and individuals to interpret and analyze information. Looker Studio is an easy-to-use, collaborative tool that enables you to transform your data into engaging visualizations. This allows you to build and share dashboards that help monitor key performance indicators, identify patterns, and generate insights to ultimately drive decisions and actions. Data Storytelling with Looker Studio begins by laying out the foundational design principles and guidelines that are essential to creating accurate, effective, and compelling data visualizations. Next, you’ll delve into features and capabilities of Looker Studio – from basic to advanced – and explore their application with examples. The subsequent chapters walk you through building dashboards with a structured three-stage process called the 3D approach using real-world examples that’ll help you understand the various design and implementation considerations. This approach involves determining the objectives and needs of the dashboard, designing its key components and layout, and developing each element of the dashboard. By the end of this book, you will have a solid understanding of the storytelling approach and be able to create data stories of your own using Looker Studio.
Table of Contents (17 chapters)
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Part 1 – Data Storytelling Concepts
5
Part 2 – Looker Studio Features and Capabilities
10
Part 3 – Building Data Stories with Looker Studio

Looker Studio Features, Beyond Basics

In the previous three chapters of this book, you have learned about how to get started with Looker Studio and explored its major entities. You understood how to use the many fundamental features of the tool to build effective data visualizations and reports. This chapter explores some additional capabilities that will allow you to create truly powerful and insightful data stories.

We will learn about calculated fields, which allow you to create new data values based on the existing data and support effective analytics and data representation. We will look into parameters that let you dynamically change the output of calculated fields or data source connection settings based on the user input. We will also learn about data blending, which helps create charts and controls based on multiple data sources within a report by combining those data sources through blending. Data blending has many interesting applications. A gallery of community visualizations...

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