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 preparation

The ability to retrieve an analytic dataset and turn it into actionable insights all begins with preparing the data to meet customer intelligence. A repeatable workflow to ensure errors are eliminated and automation is fully controlled will enrich data quality, all through drag-and-drop tools. These streamlined data preparation methods are the building blocks for analyzing future outcomes with predictive analytics. It all begins with data preparation. In this section, we will use the Florida Local Data for Better Health workflow, along with the resources located in the data folder. Let's begin by building a workflow with some of the most common data preparation tools within Alteryx:

Step 1: Using the Input Data tool, connect to the Florida Local Data for Better Health.csv file located in the \Learn Alteryx\Chapter directory. The following image is the same file you connected to in Chapter 2Workflow Optimization.

Step 2: Select the Auto Field tool from the Preparation tool...