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

Constructing a cross-tab

Now that we have categorized age, we can run a cross-tab which counts outcomes by the age category.

Since there are only two outcomes and two age categories, this results in a four-cell crosstab:

  1. First, display the results using the special Databricks display command.
  2. After the results appear as shown in the table below, you can click the plot button (2nd icon on the bottom left) and the Customized Plot dialogue will appear, which will allow the results to be plotted as a bar chart. The plot show that diabetes occurs more frequently in the higher age group than in the lower age group, while the reverse is true for the non-diabetes group:
        table <- crosstab(filtered, "outcome", "agecat") 
display(as.data.frame(table))
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 €18.99/month. Cancel anytime