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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

Visualizing distributions

In the last section, we discussed distributions and we saw some measures that describe them. In this section, we're going to see how to visualize distributions. Visualizations are more intuitive than numeric measures and they will help us to understand our data.

Rattle offers two different set of charts depending on the nature of the variables. For numeric variables, we can use Box Plot, Histogram, Cumulative, and Benford. And for categorical variables, Rattle provides us with Bar Plot, Dot Plot, and Mosaic charts. We're going to explore the most common visual representations.

Before using Rattle to plot charts, make sure that the Advanced Graphics option is unchecked. With this option checked, some charts like histograms will not be plotted. This is shown in the following screenshot:

Visualizing distributions

Numeric variables

We're going to use the variable Age of the Titanic passenger list to show the different types of charts with numeric variables. Load the data set, set...

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