Book Image

Data Storytelling with Google Looker Studio

By : Sireesha Pulipati
Book Image

Data Storytelling with Google Looker Studio

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)
Free Chapter
1
Part 1 – Data Storytelling Concepts
5
Part 2 – Looker Studio Features and Capabilities
10
Part 3 – Building Data Stories with Looker Studio

Technical requirements

To follow the implementation steps in this chapter, you need to have a Google account that can be used with GA and Looker Studio. It is recommended that you use Chrome, Safari, or Firefox as your browser.

Optionally, you will need access to Google BigQuery if you wish to follow the steps on exporting GA data. BigQuery Sandbox is available to anyone with a Google account. You can learn about getting access to the sandbox at https://cloud.google.com/bigquery/docs/sandbox. This does not require a billing account and has limited capabilities. The sandbox serves the purpose of this chapter. Another option is to sign up for a 90-day free trial of Google Cloud Platform (GCP) at https://cloud.google.com/free, which offers a full breadth of capabilities and features.