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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

Principles of Data Visualization

Data storytelling is both an art and a science. The art part refers to the story structure and narrative elements that bind data and visual components together, whereas the science part of data storytelling pertains to the foundational principles of design and visual perception and their application. This book largely concerns itself with building data stories through dashboards and reports. It primarily deals with the science aspect of data storytelling. These forms of data presentation provide limited narrative flexibility owing to the dynamic nature of the data they represent. As the data changes over time, the insights it conveys and the story it tells will change accordingly. This makes it difficult to incorporate a rigid narrative. Hence, much of the emphasis is put on design elements such as the chart types, colors, and layout, that constitute the building blocks of storytelling through data, rather than on the narrative elements.

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