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Data Storytelling with Google Looker Studio

You're reading from   Data Storytelling with Google Looker Studio A hands-on guide to using Looker Studio for building compelling and effective dashboards

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Product type Paperback
Published in Oct 2022
Publisher Packt
ISBN-13 9781800568761
Length 464 pages
Edition 1st Edition
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Author (1):
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Sireesha Pulipati Sireesha Pulipati
Author Profile Icon Sireesha Pulipati
Sireesha Pulipati
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Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1 – Data Storytelling Concepts
2. Chapter 1: Introduction to Data Storytelling FREE CHAPTER 3. Chapter 2: Principles of Data Visualization 4. Chapter 3: Visualizing Data Effectively 5. Part 2 – Looker Studio Features and Capabilities
6. Chapter 4: Google Looker Studio Overview 7. Chapter 5: Looker Studio Report Designer 8. Chapter 6: Looker Studio Built-In Charts 9. Chapter 7: Looker Studio Features, Beyond Basics 10. Part 3 – Building Data Stories with Looker Studio
11. Chapter 8: Employee Turnover Analysis 12. Chapter 9: Mortgage Complaints Analysis 13. Chapter 10: Customer Churn Analysis 14. Chapter 11: Monitoring Report Usage 15. Index 16. Other Books You May Enjoy

Summary

In this chapter, you developed a detailed report for analyzing a fictitious company’s employee turnover to address the HR department’s business questions. You used a public dataset available on the open data community called data.world. You followed the three-step approach to building data stories. First, you determined the target audience, their objectives, the questions they want to get answered, and the data available and needed for the analysis. Next, you defined the key metrics, chose the right visualizations to present data effectively, identified the filters and interactions needed to meet the objectives, and created wireframes for the report pages. Finally, you went through the report development process and reviewed many of the implementation considerations, including creating calculated fields and parameters, chart configurations, and other report elements. In the next chapter, we will work on a different example and use a dataset from Google BigQuery...

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