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Predictive Analytics Using Rattle and Qlik Sense

You're reading from  Predictive Analytics Using Rattle and Qlik Sense

Product type Book
Published in Jun 2015
Publisher
ISBN-13 9781784395803
Pages 242 pages
Edition 1st Edition
Languages
Authors (2):
Ferran Garcia Pagans Ferran Garcia Pagans
Profile icon Ferran Garcia Pagans
Fernando G Pagans Fernando G Pagans
Profile icon Fernando G Pagans
View More author details
Toc

Table of Contents (16) Chapters close

Predictive Analytics Using Rattle and Qlik Sense
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Getting Ready with Predictive Analytics 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

Analyzing your data


Our new application has two filters we can use to get a response to our questions. Select Horeca in the Channel filters. The application responds by actualizing the data. Now everything you see is related to the Horeca customers. Use the green or red buttons to confirm or cancel your selection. This is depicted in the following screenshot:

In the following screenshot, I've selected Horeca and Porto, and in the Top Customers table, I can see the top 10 Horeca customers in Porto. Now you can use the filters and the visualizations we've created to answer your own questions:

Tip

You can filter the data using the filters we've put in the application or you can filter the data by clicking on the charts.

Finally, I've created a new sheet called 360º Analysis. In this last sheet, we analyze the customer average money spent and the total money spent in the two different sales channels, the three regions, and the six different product categories. The following screenshot represents...

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