Book Image

Learning Tableau 2019 - Third Edition

By : Joshua N. Milligan
Book Image

Learning Tableau 2019 - Third Edition

By: Joshua N. Milligan

Overview of this book

Tableau is the gold standard of business intelligence and visual analytics tools in every industry. It enables rapid data visualization and interpretation with charts, graphs, dashboards, and much more. Updated with the latest features of Tableau, this book takes you from the foundations of the Tableau 2019 paradigm through to advanced topics. This third edition of the bestselling guide by Tableau Zen Master, Joshua Milligan, will help you come to grips with updated features, such as set actions and transparent views. Beginning with installation, you'll create your first visualizations with Tableau and then explore practical examples and advanced techniques. You'll create bar charts, tree maps, scatterplots, time series, and a variety of other visualizations. Next, you'll discover techniques to overcome challenges presented by data structure and quality and engage in effective data storytelling and decision making with business critical information. Finally, you'll be introduced to Tableau Prep, and learn how to use it to integrate and shape data for analysis. By the end of this book, you will be equipped to leverage the powerful features of Tableau 2019 for decision making.
Table of Contents (18 chapters)
Free Chapter
1
Section 1: Tableau Foundations
5
Section 2: Leveraging the Full Power of Tableau
10
Digging Deeper - Trends, Clustering, Distributions, and Forecasting
11
Section 3: Data Prep and Structuring
14
Section 4: Advanced Techniques and Sharing with Others

Row-level calculations

We might know that the naming convention of the rental unit in the vacation rental data actually gives us the room number and the name of the building. For example, the unit named 207-Beach Breeze is room 207 of the Beach Breeze condo complex.

In the Chapter 04 workbook, create a couple of calculated fields.

Name the first Room with the following code:

SPLIT([Rental Property], "-", 1) 
 

Then, create another calculated field named Building with the following code:

SPLIT([Rental Property], "-", 2) 

Both of these functions use the Split() function, which splits a string into multiple values and keeps one of those values. This function takes three arguments: the string, the delimiter (a character or set of characters that separate values), and the token number (which value to keep from the split, that is, 1st, 2nd, 3rd, and so on.) Using...