Create comprehensive solutions for predictive analysis using Rattle and share them with Qlik Sense
Qlik Sense Desktop, the personal and free version of Qlik Sense, is a powerful tool for business analysts to analyze data and create useful data applications. Rattle, developed in R, is a GUI used for data mining and complements Qlik Sense Desktop very well. By combining Rattle and Qlik Sense Desktop, a business user can learn how to apply predictive analytics to create real-world data applications. The objective is to use Qlik Sense to analyze data and complement it with predictive analytics using Rattle.
This book will introduce you to basic predictive analysis techniques using Rattle and basic data visualizations concepts using Qlik Sense Desktop. You will start by setting up Qlik Sense Desktop, R, and Rattle and learn the basic of these tools. Then this book will examine the data and make it ready to be analyzed. After that, you will get to know the key concepts of predictive analytics, by building simple models with Rattle and creating visualizations with Qlik Sense Desktop. Finally, the book will show you the basics of data visualization and will help you to create your first data application and dashboard.
What You Will Learn
Set up your desktop environment by installing Qlik Sense Desktop, R, and Rattle
Explore Rattle charts and the most commonly used multivariate statistical techniques to discover relationships among data
Find solutions to business questions by applying data analysis techniques
Use unsupervised and supervised learning methods to gain insights into your data
Evaluate the performance of a predictive model
Create basic charts and filters using Qlik Sense Desktop to build your first data application
Improve your analysis by complementing Qlik Sense Desktop with predictive analytics
Familiarize yourself with the basics of data visualization and data storytelling
Downloading the example code for this book. You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.