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


There are instances where data should be limited to only where to focus the analysis on. For example, instead of viewing all the cities in your analysis you may want to view only a couple cities. The ability to filter data is useful for limiting data to the desired output and not all data coming through the workflow downstream. It's also helpful for troubleshooting by filtering down to a specific area or row in the dataset to narrow down where a problem may exist. If only certain fields are needed before filtering data, it's good practice to use the Select tool. The Select tool can select or deselect fields, rename fields, change data types and sizes, add a description for the fields, and save/load field types. Let's add the Select tool to the canvas, continuing from the Data Cleansing section:

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

The Select tool includes, excludes, and reorders...