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Predictive Analytics using Rattle and Qlik Sense

You're reading from   Predictive Analytics using Rattle and Qlik Sense Create comprehensive solutions for predictive analysis using Rattle and share them with Qlik Sense

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781784395803
Length 242 pages
Edition 1st Edition
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Author (1):
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Ferran Garcia Pagans Ferran Garcia Pagans
Author Profile Icon Ferran Garcia Pagans
Ferran Garcia Pagans
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Table of Contents (11) Chapters Close

Preface 1. Getting Ready with Predictive Analytics FREE CHAPTER 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...

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