文件名称:
Predictive.Analytics.using.Rattle.and.Qlik.Sense
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文件大小: 12mb
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上传时间: 2015-07-13
详细说明： Create comprehensive solutions for predictive analysis using Rattle and share them with Qlik Sense About This Book Create visualizations, dashboards, and data applications with Qlik Sense and Rattle Load, explore, and manipulate data to Rattle to create predictions and discover hidden patterns in the data A step-by-step guide to learning predictive analytics in a quick and easy way Who This Book Is For If you are a business analyst who wants to understand how to improve your data analysis and how to apply predictive analytics, then this book is ideal for you. This book assumes you have some basic knowledge of statistics and a spreadsheet editor such as Excel, but knowledge of QlikView is not required. In Detail 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. Table of Contents Chapter 1. Getting Ready with Predictive Analytics Chapter 2. Preparing Your Data Chapter 3. Exploring and Understanding Your Data Chapter 4. Creating Your First Qlik Sense Application Chapter 5. Clustering and Other Unsupervised Learning Methods Chapter 6. Decision Trees and Other Supervised Learning Methods Chapter 7. Model Evaluation Chapter 8. Visualizations, Data Applications, Dashboards, and Data Storytelling Chapter 9. Developing a Complete Application ...展开收缩
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