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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

Further learning


We've introduced data visualization. If you are interested in improving your knowledge of this huge topic, Stephen Few and Edward R. Tufte are probably the best authors to consult. Some great books on this topic are:

  • Learning QlikView Data Visualization by Karl Pover, PACKT Publishing. This is a QlikView book but I had a great time with it and the principles are still valid.

  • Information Dashboard Design, Displaying data for at-a-glance monitoring, Stephen Few, Analytics Press.

  • Visualize this The FlowingData Guide to Design, Visualization and Statistics, by Nathan Yau, Wiley Publishing, Inc.

We've seen the DAR approach or Dashboard, Analysis and Reporting relating to the design of data applications.

To gain a deeper understanding of the DAR methodology, have a look at a technical paper on the Qlik Design Blog:

https://community.qlik.com/blogs/qlikviewdesignblog/2013/11/08/dar-methodology

Finally, related to data storytelling, I found this book helpful:

Strategic Storytelling...

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