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

Configuring scatter charts

A scatter chart enables you to visualize a large number of data points and understand the relationship between two metrics on the X and Y axes. The points in a scatter plot represent the dimension values chosen. The coordinates of each point in the chart indicate the values of the two metrics on the axes. In this section, we will explore the key configurations of the scatter chart type using the Call Center data source.

The following scatter chart plots customer zip codes against Avg Speed of Answer and Avg Call Duration:

Figure 6.34 – Scatter chart with a trendline

You can add a trendline to the scatter chart to indicate the type and direction of the relationship between the two metrics on the axes. You can add a linear, exponential, or polynomial type of trendline based on your data.

By default, you can plot up to 1,000 points in a scatter chart. You can increase or decrease this number from the STYLE tab as per your...