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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

Summary


This chapter was divided into three main sections depending on how we are looking at data – tables, text summaries, and charts.

When we saw text summaries, we introduced Summary, Describe, Basics, Kurtosis, and Skewness reports. To understand these reports, we needed to remember some basic statistics concepts like mean, median, mode, range, quartile, interquartile range, variance, and standard deviation.

In this chapter, we also introduced some important charts – histograms, correlations, Box Plot, and Bar Chart.

In the next chapter, we'll learn how to load data into Qlik Sense and how to create data visualizations. We'll use some of the charts we introduced in this chapter. You'll see that Qlik Sense is more powerful for a business user who wants to understand his data and create a graphical representation of his data. Rattle and R are tools closer to statistics and some functionalities, like the correlations analysis, are very powerful; for this reason, we've introduced EDA using...

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