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Predictive Analytics using Rattle and Qlik Sense

Predictive Analytics using Rattle and Qlik Sense

By : Ferran Garcia Pagans, Fernando G Pagans
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Predictive Analytics using Rattle and Qlik Sense

Predictive Analytics using Rattle and Qlik Sense

4 (5)
By: Ferran Garcia Pagans, Fernando G Pagans

Overview of this book

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.
Table of Contents (11 chapters)
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10
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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