To get the most out of this book

You will need to download Tableau Desktop 2018. Some understanding of BI concepts and Tableau is required.

Download the example code files

You can download the example code files for this book from your account at www.packt.com. If you purchased this book elsewhere, you can visit www.packt.com/support and register to have the files emailed directly to you.

You can download the code files by following these steps:

1. Log in or register at www.packt.com.
2. Select the SUPPORT tab.
3. Click on Code Downloads & Errata.
4. Enter the name of the book in the Search box and follow the onscreen instructions.

Once the file is downloaded, please make sure that you unzip or extract the folder using the latest version of:

• WinRAR/7-Zip for Windows
• Zipeg/iZip/UnRarX for Mac
• 7-Zip/PeaZip for Linux

The code bundle for the book is also hosted on GitHub at https://github.com/PacktPublishing/Tableau-2019.x-Cookbook. In case there's an update to the code, it will be updated on the existing GitHub repository.

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: http://www.packtpub.com/sites/default/files/downloads/9781789533385_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. Here is an example: "You will also need to save a local copy of the Baby_names.csv dataset to your device, as we will be using it in the recipes."

A block of code is set as follows:

install.packages('rpart',repos='http://cran.us.r-project.org')
library(rpart)
cars <- read.table("C:\\!Slaven\\6 KNJIGA\\4 Advanced analytics\\4 decision tree\\new_or_used_car.csv", header=T, sep=",")
fit <- rpart(FuturePurchase ~ Age + Gender + Education + FamilyStatus + CurrentCar + AgeOfCurrentCar + MunicipalityType, method="class", data=cars)
plot(fit, uniform=TRUE, main="Classification of new cars buyers")
text(fit, all=TRUE, cex=.8)

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

set enable_result_cache_for_session to off;

Bold: Indicates a new term, an important word, or words that you see onscreen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "From the Connect pane on the left-hand side, choose the Text file option."

Warnings or important notes appear like this.

Tips and tricks appear like this.