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Mastering Tableau 2021

You're reading from   Mastering Tableau 2021 Implement advanced business intelligence techniques and analytics with Tableau

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Product type Paperback
Published in May 2021
Publisher Packt
ISBN-13 9781800561649
Length 792 pages
Edition 3rd Edition
Languages
Tools
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Authors (2):
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David Baldwin David Baldwin
Author Profile Icon David Baldwin
David Baldwin
Marleen Meier Marleen Meier
Author Profile Icon Marleen Meier
Marleen Meier
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Toc

Table of Contents (18) Chapters Close

Preface 1. Getting Up to Speed – A Review of the Basics 2. All About Data – Getting Your Data Ready FREE CHAPTER 3. Tableau Prep Builder 4. All About Data – Joins, Blends, and Data Structures 5. Table Calculations 6. All About Data – Data Densification, Cubes, and Big Data 7. Level of Detail Calculations 8. Beyond the Basic Chart Types 9. Mapping 10. Tableau for Presentations 11. Visualization Best Practices and Dashboard Design 12. Advanced Analytics 13. Improving Performance 14. Interacting with Tableau Server/Online 15. Programming Tool Integration 16. Another Book You May Enjoy
17. Index

To get the most out of this book

A basic knowledge of Tableau is required. You will need a Tableau license, or to sign up for the 14-day free trial version of Tableau. Readers are also expected to have a basic knowledge of R/RStudio and Python in order to make the most of the final chapter.

Download the example code files

The code bundle for the book is hosted on GitHub at https://github.com/PacktPublishing/Mastering-Tableau-2021. We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!

Download the color images

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. You can download it here: https://static.packt-cdn.com/downloads/9781800561649_ColorImages.pdf.

Conventions used

There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. For example: "We can configure webpack using the webpack.config.js file"

A block of code is set as follows:

SCRIPT_REAL("
from numpy import random as rd 
mu, sigma = _arg2, _arg3
return (rd.normal(mu, sigma, _arg1[0])).tolist()
",
SIZE(), [mu], [sigma]
)

Any command-line input or output is written as follows:

pip install tabpy

Bold: Indicates a new term, an important word, or words that you see on the screen, for example, in menus or dialog boxes, also appear in the text like this. For example: "To start R within a Windows environment, navigate to Start | Programs | R x64 4.0.3."

Warnings or important notes appear like this.

Tips and tricks appear like this.

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