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

Implementing filters

Depending on your objective and the data story you are going to tell, you may want to represent only a subset or slice of data in your report. You can visualize just a subset of data from the data source by defining filters. As a report editor, you can define and apply filters to one or more charts, a page, or the entire report. These filters, referred to as editor filters, are not visible to the report viewers, so they cannot be manipulated by them. Editor filters are used to visualize certain subsets or slices of data in the chart to answer specific questions. For example, you want to display sales from only the new customers over time to compare against their cost of acquisition. Or, you want to look at the top products sold in the United Kingdom. Editor filters also help in tightly controlling the user interpretation of data by limiting the data they can view within the chart. To allow report viewers to slice and dice the data in the visuals interactively...