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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

Summary


We started this chapter comparing the term mise en place used by professional chefs to the task of loading and preparing the data before we start creating predictive models.

During this chapter, we introduced the basic vocabulary to describe datasets, observations, and variables. We also saw how to load a CVS file into Rattle and described the most usual data transformations.

This chapter, as well as Chapter 3, Exploring and Understanding Your Data, covered the mise en place for our data. After going through these chapters, we'll be able to prepare our data to analyze it and discover hidden insights.

In the next chapter, we'll explore the dataset to have a better understanding and to find data quality problems. The next two chapters are tied because exploring the dataset and transforming it are complementary tasks.

When you are cooking, the quality of the ingredients has a great influence on the quality of your dish. Working with data is very similar; it's very hard to achieve good results...

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