Book Image

Tableau Prep Cookbook

By : Hendrik Kleine
Book Image

Tableau Prep Cookbook

By: Hendrik Kleine

Overview of this book

Tableau Prep is a tool in the Tableau software suite, created specifically to develop data pipelines. This book will describe, in detail, a variety of scenarios that you can apply in your environment for developing, publishing, and maintaining complex Extract, Transform and Load (ETL) data pipelines. The book starts by showing you how to set up Tableau Prep Builder. You’ll learn how to obtain data from various data sources, including files, databases, and Tableau Extracts. Next, the book demonstrates how to perform data cleaning and data aggregation in Tableau Prep Builder. You’ll also gain an understanding of Tableau Prep Builder and how you can leverage it to create data pipelines that prepare your data for downstream analytics processes, including reporting and dashboard creation in Tableau. As part of a Tableau Prep flow, you’ll also explore how to use R and Python to implement data science components inside a data pipeline. In the final chapter, you’ll apply the knowledge you’ve gained to build two use cases from scratch, including a data flow for a retail store to prepare a robust dataset using multiple disparate sources and a data flow for a call center to perform ad hoc data analysis. By the end of this book, you’ll be able to create, run, and publish Tableau Prep flows and implement solutions to common problems in data pipelines.
Table of Contents (11 chapters)

Embedding R code in a Tableau Prep flow

In the previous recipe, you learned how to configure your machine with R. You also set up a connection from Tableau Prep to R, using the Rserve package. In this recipe, we'll leverage that foundational setup to run an R script using Tableau Prep. We'll learn how to embed a script in our flow and understand how R sends the data back to our Tableau Prep data flow. The examples used are simple but form a solid foundation. Once you have mastered the basics, you'll be able to implement more advanced scripts, such as the script in the recipe titled Forecasting time series using R.

Getting ready

To follow along with this recipe, download the Sample Files 8.2 folder from this book's GitHub repository.

Important note

R is a programming language of its own, not covered by this book. We'll look at R code in this recipe at a very high level only, so you will gain sufficient knowledge to integrate R with Tableau Prep...