Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Practical Predictive Analytics

You're reading from   Practical Predictive Analytics Analyse current and historical data to predict future trends using R, Spark, and more

Arrow left icon
Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781785886188
Length 576 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Ralph Winters Ralph Winters
Author Profile Icon Ralph Winters
Ralph Winters
Arrow right icon
View More author details
Toc

Table of Contents (13) Chapters Close

Preface 1. Getting Started with Predictive Analytics FREE CHAPTER 2. The Modeling Process 3. Inputting and Exploring Data 4. Introduction to Regression Algorithms 5. Introduction to Decision Trees, Clustering, and SVM 6. Using Survival Analysis to Predict and Analyze Customer Churn 7. Using Market Basket Analysis as a Recommender Engine 8. Exploring Health Care Enrollment Data as a Time Series 9. Introduction to Spark Using R 10. Exploring Large Datasets Using Spark 11. Spark Machine Learning - Regression and Cluster Models 12. Spark Models – Rule-Based Learning

Our customer satisfaction dataset


In this chapter, we will be looking at a dataset of hypothetical customers who are subscribed to an online service, and who have responded to a customer satisfaction survey prior to the beginning of the study. This survey was then matched to transactional as well as demographic data to produce this simple analysis dataset, consisting of an event variable (churn), which will represent whether or not a customer unsubscribed from the service. We will also include some transaction data (number of purchases last month), as well as some demographic data (gender, educational level), as well as an overall satisfaction survey administered prior to the start of the study:

Variable

Description

Monthly.Charges

Average dollar amount of previous purchases

Purch.last.Month

Number of purchases in the month before the study begins

Satisfaction

Overall satisfaction with the service supplied on a Likert scale

Satisfaction2

Follow-up satisfaction score

Gender

Male or female

Education Level...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime