When analyzing data we'll frequently encounter unusual cases, outliers, and anomalies. Those cases are different from the majority and they don't match the pattern that the rest of the cases fit in. Sometimes, we might want to identify them in order to remove them from the analysis, because they can skew our results. In other cases, we might be interested in analyzing them. Either way, it's very important to know how to deal with them properly. In Chapter 11, Forecasting with Tableau, the Forecasting on a dataset with outliers recipe taught up how to deal with outliers on one dimension, which is relatively simple. But when we have more than one dimension, things get much more complicated. In this recipe, we'll learn how to deal with multidimensional outliers.
Tableau 2019.x Cookbook
By :
Tableau 2019.x Cookbook
By:
Overview of this book
Tableau has been one of the most popular business intelligence solutions in recent times, thanks to its powerful and interactive data visualization capabilities. Tableau 2019.x Cookbook is full of useful recipes from industry experts, who will help you master Tableau skills and learn each aspect of Tableau's ecosystem.
This book is enriched with features such as Tableau extracts, Tableau advanced calculations, geospatial analysis, and building dashboards. It will guide you with exciting data manipulation, storytelling, advanced filtering, expert visualization, and forecasting techniques using real-world examples. From basic functionalities of Tableau to complex deployment on Linux, you will cover it all. Moreover, you will learn advanced features of Tableau using R, Python, and various APIs. You will learn how to prepare data for analysis using the latest Tableau Prep. In the concluding chapters, you will learn how Tableau fits the modern world of analytics and works with modern data platforms such as Snowflake and Redshift. In addition, you will learn about the best practices of integrating Tableau with ETL using Matillion ETL.
By the end of the book, you will be ready to tackle business intelligence challenges using Tableau's features.
Table of Contents (18 chapters)
Preface
Free Chapter
Getting Started with Tableau Software
Data Manipulation
Tableau Extracts
Tableau Desktop Advanced Calculations
Tableau Desktop Advanced Filtering
Building Dashboards
Telling a Story with Tableau
Tableau Visualization
Tableau Advanced Visualization
Tableau for Big Data
Forecasting with Tableau
Advanced Analytics with Tableau
Deploy Tableau Server
Tableau Troubleshooting
Preparing Data for Analysis with Tableau Prep
ETL Best Practices for Tableau
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