You're reading from Learning Tableau 2020 Create effective data visualizations, build interactive visual analytics, and transform your organization

Product type Paperback

Published in Aug 2020

Publisher Packt

ISBN-13 9781800200364

Length 576 pages

Edition 4th Edition

Tools

Tableau

Concepts

Business Intelligence

Author (1):

Joshua N. Milligan

View More author details

Table of Contents (19) Chapters

Preface

1. Taking Off with Tableau

2. Connecting to Data in Tableau FREE CHAPTER

3. Moving Beyond Basic Visualizations

4. Starting an Adventure with Calculations and Parameters

5. Leveraging Level of Detail Calculations

6. Diving Deep with Table Calculations

7. Making Visualizations That Look Great and Work Well

8. Telling a Data Story with Dashboards

9. Visual Analytics – Trends, Clustering, Distributions, and Forecasting

10. Advanced Visualizations

11. Dynamic Dashboards

12. Exploring Mapping and Advanced Geospatial Features

13. Understanding the Tableau Data Model, Joins, and Blends

14. Structuring Messy Data to Work Well in Tableau

15. Taming Data with Tableau Prep

16. Sharing Your Data Story

17. Other Books You May Enjoy

18. Index

Practical examples of calculations and parameters

Let's turn our attention to some practical examples of row-level and aggregate calculations. The goal is to learn and understand some of what is possible with calculations. You will be able to build on these examples as you embark on your analysis and visualization journey.

A great place to find help and suggestions for calculations is the official Tableau forums at https://community.tableau.com/s/explore-forums.

Fixing data issues

Often, data is not entirely clean. That is, it has problems that need to be corrected before meaningful analysis can be accomplished. For example, dates may be incorrectly formatted, or fields may contain a mix of numeric values and character codes that need to be separated into multiple fields. Calculated fields can often be used to fix these kinds of issues.

We'll consider using Tableau Prep—a tool designed to shape and cleanse data—in Chapter...