Book Image

Mastering Tableau 2021 - Third Edition

By : Marleen Meier, David Baldwin
Book Image

Mastering Tableau 2021 - Third Edition

By: Marleen Meier, David Baldwin

Overview of this book

Tableau is one of the leading business intelligence (BI) tools that can help you solve data analysis challenges. With this book, you will master Tableau's features and offerings in various paradigms of the BI domain. Updated with fresh topics including Quick Level of Detail expressions, the newest Tableau Server features, Einstein Discovery, and more, this book covers essential Tableau concepts and advanced functionalities. Leveraging Tableau Hyper files and using Prep Builder, you’ll be able to perform data preparation and handling easily. You’ll gear up to perform complex joins, spatial joins, unions, and data blending tasks using practical examples. Next, you’ll learn how to execute data densification and further explore expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions. You’ll also learn about improving dashboard performance, connecting to Tableau Server and understanding data visualization with examples. Finally, you'll cover advanced use cases such as self-service analysis, time series analysis, and geo-spatial analysis, and connect Tableau to Python and R to implement programming functionalities within it. By the end of this Tableau book, you’ll have mastered the advanced offerings of Tableau 2021 and be able to tackle common and advanced challenges in the BI domain.
Table of Contents (18 chapters)
16
Another Book You May Enjoy
17
Index

All About Data – Getting Your Data Ready

Ever asked yourself whether your data is clean enough to be analyzed? It's likely that everyone who works with data has, which is why this chapter is dedicated to getting your data ready for analysis, otherwise known as data cleaning.

The first part of this chapter is theory-oriented and does not include exercises. A careful reading of this information is encouraged, since it provides a foundation for greater insight. The latter portion of the chapter provides various exercises specifically focused on data preparation.

Now let's dive into this fascinating topic with the goal of enriching our understanding and becoming ever-better data stewards.

In this chapter, we will discuss the following topics:

  • Understanding Hyper
  • Data mining and knowledge discovery process models
  • CRISP-DM
  • Focusing on data preparation
  • Surveying data
  • Cleaning messy data

Since Tableau Desktop 10.5 has been on the market for some time, you may already have heard of Hyper. Regardless of whether you have or not, continue reading for a primer on this useful tool!