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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

Creating a Qlik Sense App to control the activity


In the previous chapter, we explored the DAR approach to develop Qlik Sense applications; in this section, we will use the same approach.

We'll start with the dashboard. At the center, we'll place the most important information or measures. The most important details are the average number of users and the total number of users; these KPIs will occupy the main area of our application. The number of registered and casual users is also important, and we'll keep space for them in the dashboard, as shown here:

During our analysis, we discovered that, in 2012, the number of users increased, and that, during the colder months, we had a lack of activity. I've used a bar chart to show you the difference between 2011 and 2012 and the lack of activity during the winter.

After the dashboard, you will need an analysis sheet to analyze the months that have a lack of activity. In this analysis sheet, we'll include charts with just two metrics—the average...

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