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The Tableau Workshop

You're reading from  The Tableau Workshop

Product type Book
Published in Apr 2022
Publisher Packt
ISBN-13 9781800207653
Pages 822 pages
Edition 1st Edition
Languages
Authors (5):
Sumit Gupta Sumit Gupta
Profile icon Sumit Gupta
Sylvester Pinto Sylvester Pinto
Profile icon Sylvester Pinto
Shweta Sankhe-Savale Shweta Sankhe-Savale
Profile icon Shweta Sankhe-Savale
JC Gillet JC Gillet
Profile icon JC Gillet
Kenneth Michael Cherven Kenneth Michael Cherven
Profile icon Kenneth Michael Cherven
View More author details
Toc

Table of Contents (12) Chapters close

Preface
1. Introduction: Visual Analytics with Tableau 2. Data Preparation: Using Tableau Desktop 3. Data Preparation: Using Tableau Prep 4. Data Exploration: Comparison and Composition 5. Data Exploration: Distributions and Relationships 6. Data Exploration: Exploring Geographical Data 7. Data Analysis: Creating and Using Calculations 8. Data Analysis: Creating and Using Table Calculations 9. Data Analysis: Creating and Using Level of Details (LOD) Calculations 10. Dashboards and Storyboards 11. Tableau Interactivity: Part 1

Introduction

In the previous chapter, you performed some fundamental data transformations such as joins, filtering, and groups using Tableau Desktop. However, Tableau Desktop only performs basic data manipulation. It may not be able to handle raw unprocessed/unclean data, like data containing multiple entries, missing entries, or inconsistent formats. Now, you will learn about more advanced methods, better suited to these trickier scenarios.

Tableau Prep is a tool specifically designed to perform data transformation so we can use the data for our visualizations. It consists of advanced algorithms that help detect data inconsistencies and fix them. This can be done automatically as well as manually, depending on the requirements.

In this chapter, you will learn about the Prep interface, along with data operations like adding data sources, data profiling, and applying transformations such as cleaning, splitting, adding pivots, joining data sources, and applying unions. Finally...

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