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

Weighted average

The contribution amount to a set of values is defined as weighting, where some records are configured to contribute more than others. The Weighted Average tool located within the Transform tool palette contains questions that will help identify how the weighting should be computed. Let's look at an example of using the Weighted Average tool using the same workflow as the previous section.

Weighted Average Example #1: Find the running total for DataValueAlt by YearEnd and Topic.

Step 1: Select the Weighted Average tool from the Transform tool palette and drag it onto the canvas. Connect the Auto Field tool to the Weighted Average tool.

Step 2: Select the following field under the Value Field (Numeric) dropdown: DataValueAlt.

Step 3: Select the following field under the Weight Field (Numeric) dropdown: HighConfidenceLimit.

Step 4: Leave the Output Field Name as is, WeightedAverage.

The snapshot for the Weighted Average Configuration is as follows:

Step 5: Add a Browse tool to the...