Book Image

Learning Alteryx

By : Renato Baruti
Book Image

Learning Alteryx

By: Renato Baruti

Overview of this book

Alteryx, as a leading data blending and advanced data analytics platform, has taken self-service data analytics to the next level. Companies worldwide often find themselves struggling to prepare and blend massive datasets that are time-consuming for analysts. Alteryx solves these problems with a repeatable workflow designed to quickly clean, prepare, blend, and join your data in a seamless manner. This book will set you on a self-service data analytics journey that will help you create efficient workflows using Alteryx, without any coding involved. It will empower you and your organization to take well-informed decisions with the help of deeper business insights from the data.Starting with the fundamentals of using Alteryx such as data preparation and blending, you will delve into the more advanced concepts such as performing predictive analytics. You will also learn how to use Alteryx’s features to share the insights gained with the relevant decision makers. To ensure consistency, we will be using data from the Healthcare domain throughout this book. The knowledge you gain from this book will guide you to solve real-life problems related to Business Intelligence confidently. Whether you are a novice with Alteryx or an experienced data analyst keen to explore Alteryx’s self-service analytics features, this book will be the perfect companion for you.
Table of Contents (17 chapters)
Title Page
About the Author
About the Reviewer
Customer Feedback

Data cleansing

Imagine a world where data cleansing had to be done manually. Countless hours would be spent fixing data to get the desired output. This would delay business decisions. Fortunately, with Alteryx less time can be spent cleaning your data and more time focused on analyzing your data. There is a very popular tool located in the Preparation tool palette called, you guessed it, Data Cleansing. It would only be fitting to start this section with the Data Cleansing tool.

In this section, we will continue to use the Florida Local Data for Better Health workflow from the Data Preparation section. 

Step 1: Select the Data Cleansing tool from the Preparation tool palette and drag it onto the canvas. Connect the Data Cleansing tool to the Sort tool:

The Data Cleansing tool can eliminate leading and trailing whitespace, remove nulls, clear numbers from a string entry, and with a simple check box automatically perform common data cleansing tasks. Let's review the options available within the...