Statistical Tableau: How to Use Statistical Models and Decision Science in Tableau 1st Edition

To make sense of the vast amount of data in today's business landscape, you not only need to visualize data, but incorporate statistics into your visualizations as well. This practical book walks intermediate to advanced Tableau users through ways that statistics can help you incorporate decision science into the visualizations you create. Data analysts, business analysts, and business intelligence specialists will greatly benefit from this book.Author Ethan Lang, data visualization designer and engineer, explains the decision science process and then demonstrates how you, your stakeholders, and your business can take action and make informed decisions with data much faster than before. You'll learn how this process will help you make more sense of your data and make data analysis more actionable and insightful.This book helps you:Get up to speed with the basic statistics & Tableau concepts you need to knowUnderstand how to incorporate statistical models into your visualizations and/or analysisUnderstand how to explore your data to ensure you implement the correct modelsExplore multiple ways to detect and visualize anomalies in your dataUse and understand tools native to Tableau to implement different regression models, forecasting, and clusteringDownload the necessary software and connect to external connectionsExplore examples that show you how to build and implement models using external connectionsAbout the AuthorEthan 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".