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

Summary

In this chapter, you gained an understanding of several advanced concepts in Looker Studio. We explored the corresponding features and looked into some interesting ways to use them. Calculated fields enable you to enrich the data source and manipulate the data to meet your reporting and analytical needs. Parameters allow you to capture user input and use it to perform dynamic calculations, limit the data retrieved from the dataset, and even drive the content displayed in a visual.

Data blending helps you visualize data from multiple data sources together or perform reaggregations. You learned about how to use community chart types and create report templates easily. A report that loads quickly and responsively is important for a good user experience. In this chapter, you also learned about several factors that affect report performance and optimization strategies to address them. This concludes Part 2 of the book, which described the many useful features and capabilities...