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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

Exploring the data with Qlik Sense


We've seen in previous chapters how to load data into Qlik Sense and how to create charts. In this chapter, we'll discuss different charts, but we're not going to describe how to load the data and how to create charts. In this section, we will build a Qlik Sense application using the data contained in the day.csv file. Before starting to build the application, we will explore it.

Checking for temporal patterns

We can start creating a chart to see the evolution of the number of rentals, as shown in the following screenshot. We've used a bar chart with the variable dteday as Dimension and sum(cnt), the total number of users, as Measure:

In the bar chart, we usually use the measure to order the bars. If we use a bar chart to see the sales performance of different countries, we will have to order based on the amount of sales. In this case, I will have to order the bars by the dteday dimension. To ensure I'm using this variable to order my bar chart, I need to...

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