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Predictive Analytics Using Rattle and Qlik Sense

You're reading from  Predictive Analytics Using Rattle and Qlik Sense

Product type Book
Published in Jun 2015
Publisher
ISBN-13 9781784395803
Pages 242 pages
Edition 1st Edition
Languages
Authors (2):
Ferran Garcia Pagans Ferran Garcia Pagans
Profile icon Ferran Garcia Pagans
Fernando G Pagans Fernando G Pagans
Profile icon Fernando G Pagans
View More author details

Table of Contents (16) Chapters

Predictive Analytics Using Rattle and Qlik Sense
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Getting Ready with Predictive Analytics 2. Preparing Your Data 3. Exploring and Understanding Your Data 4. Creating Your First Qlik Sense Application 5. Clustering and Other Unsupervised Learning Methods 6. Decision Trees and Other Supervised Learning Methods 7. Model Evaluation 8. Visualizations, Data Applications, Dashboards, and Data Storytelling 9. Developing a Complete Application Index

Chapter 3. Exploring and Understanding Your Data

In the previous chapter, we've explained how to load data and how to transform it using Rattle. In this chapter, we're going to learn how use Rattle to:

  • Summarize dataset characteristics

  • Identify missing values in the data

  • Create charts to represent data point distributions

We have two main objectives when we explore data. We would like to understand the problem we want to solve and we want to understand the structure of the dataset in order to choose the most appropriate predictive technique.

If you are a business analyst, Qlik Sense is a great tool to explore and understand your data. With Qlik Sense, you can find relationships between customers, products, and sales people in a very intuitive way. In the next chapter, we're going to learn how to use Qlik Sense to load and explore data.

As some predictive techniques are based on statistics, if you are preparing a dataset to apply a predictive technique, you would probably prefer a more formal or...

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