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Tableau 2019.x Cookbook

You're reading from   Tableau 2019.x Cookbook Over 115 recipes to build end-to-end analytical solutions using Tableau

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781789533385
Length 670 pages
Edition 1st Edition
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Authors (6):
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Tania Lincoln Tania Lincoln
Author Profile Icon Tania Lincoln
Tania Lincoln
Slaven Bogdanovic Slaven Bogdanovic
Author Profile Icon Slaven Bogdanovic
Slaven Bogdanovic
Teodora Matic Teodora Matic
Author Profile Icon Teodora Matic
Teodora Matic
Rintaro Sugimura Rintaro Sugimura
Author Profile Icon Rintaro Sugimura
Rintaro Sugimura
Dmitry Anoshin Dmitry Anoshin
Author Profile Icon Dmitry Anoshin
Dmitry Anoshin
Dmitrii Shirokov Dmitrii Shirokov
Author Profile Icon Dmitrii Shirokov
Dmitrii Shirokov
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Table of Contents (18) Chapters Close

Preface 1. Getting Started with Tableau Software FREE CHAPTER 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

Before doing any work in Tableau, we must first connect to the data we'll be working on. In the first recipe in this book, Connecting to data, we learned how to connect to a data source. In this chapter, we'll build on that knowledge to become more skillful at manipulating, joining, unioning, and transforming data sources. In the last recipe of this chapter, Preparing data, we'll also address the topic of data preparation and getting our data ready for visualizing and further analysis.

In this chapter, we'll be using multiple datasets. In the first recipe, Joining data sources, we'll be using two datasets, Public_Schools_1.csv and Public_Schools_2.csv, which contain data on Boston public schools for the school year 2018/2019. The dataset originally comes from Kaggle's official site. In the Adding a secondary data source and Data blending...

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