Statistical Tableau

In today’s data-driven world, understanding statistical models is crucial for effective analysis and decision making. Whether you’re a beginner or an experienced user, this book equips you with the foundational knowledge to grasp and implement statistical models within Tableau. Gain the confidence to speak fluently about the models you employ, driving adoption of your insights and analysis across your organization.

As AI continues to revolutionize industries, possessing the skills to leverage statistical models is no longer optional—it’s a necessity. Stay ahead of the curve and harness the full potential of your data by mastering the ability to interpret and utilize the insights generated by these models.

Whether you’re a data enthusiast, analyst, or business professional, this book empowers you to navigate the ever-evolving landscape of data analytics with confidence and proficiency. Start your journey toward data mastery today.

In this book, you will learn:

• The basics of foundational statistical modeling with Tableau
• How to prove your analysis is statistically significant
• How to calculate and interpret confidence intervals
• Best practices for incorporating statistics into data visualizations
• How to connect external analytics resources from Tableau using R and Python

Table of Contents

Chapter 1. Introduction

Chapter 2. Overview of the Analytics Pane

Chapter 3. Benchmarking in Tableau

Chapter 4. Understanding Normal Distribution Using Histograms

Chapter 5. Understanding Confidence Intervals

Chapter 6. Anomaly Detection on Normally Distributed Data

Chapter 7. Anomaly Detection on Nonnormalized Data

Chapter 8. Linear Regression in Tableau

Chapter 9. Polynomial Regression in Tableau

Chapter 10. Forecasting in Tableau

Chapter 11. Clustering in Tableau

Chapter 12. Creating an External Connection to R Using Tableau

Chapter 13. Creating an External Connection to Python Using Tableau

Chapter 14. Understanding Multiple Linear Regression in R and Python

Chapter 15. Using External Connections in Tableau

About the Author

Ethan Lang is an award-winning data visualization designer and engineer. He is the co-leader of the Veterans Advocacy Tableau User Group, a Tableau User Group ambassador, and a technical reviewer on multiple best-selling Tableau books. His data visualization strategies have been shared in dozens of cities across North America including Orlando, Portland, and Kansas City and he is currently authoring his first book “Statistical Tableau”.