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Tableau 2019.x Cookbook

You're reading from  Tableau 2019.x Cookbook

Product type Book
Published in Jan 2019
Publisher Packt
ISBN-13 9781789533385
Pages 670 pages
Edition 1st Edition
Languages
Authors (5):
Dmitry Anoshin Dmitry Anoshin
Profile icon Dmitry Anoshin
Teodora Matic Teodora Matic
Profile icon Teodora Matic
Slaven Bogdanovic Slaven Bogdanovic
Profile icon Slaven Bogdanovic
Tania Lincoln Tania Lincoln
Profile icon Tania Lincoln
Dmitrii Shirokov Dmitrii Shirokov
Profile icon Dmitrii Shirokov
View More author details
Toc

Table of Contents (18) Chapters close

Preface 1. Getting Started with Tableau Software 2. Data Manipulation 3. Tableau Extracts 4. Tableau Desktop Advanced Calculations 5. Tableau Desktop Advanced Filtering 6. Building Dashboards 7. Telling a Story with Tableau 8. Tableau Visualization 9. Tableau Advanced Visualization 10. Tableau for Big Data 11. Forecasting with Tableau 12. Advanced Analytics with Tableau 13. Deploy Tableau Server 14. Tableau Troubleshooting 15. Preparing Data for Analysis with Tableau Prep 16. ETL Best Practices for Tableau 17. Other Books You May Enjoy

Introduction

In Chapter 1, Getting Started with Tableau, we encountered filters and learned how to implement basic ones. Filters allow us to use just part of the rows in a dataset, and this basic principle is common to all the filters we will be working with.

However, Tableau's filtering capabilities extend far beyond the basic filtering you have learned so far. In this chapter, you will become comfortable with implementing top N filters, measure filters, different kinds of date filters, table calculation filters, and action filters.

In this chapter, we will mostly be using the Winery.csv dataset, originally found on Kaggle.com. It contains data on wines—which winery they belong to, which province they originate from, number of points, price of the wine, and the name of the wine taster who rated them, among other details.

In the two recipes dealing with date filters...

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