Search icon CANCEL
Subscription
0
Cart icon
Cart
Close icon
You have no products in your basket yet
Save more on your purchases!
Savings automatically calculated. No voucher code required
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Statistical Application Development with R and Python - Second Edition

You're reading from  Statistical Application Development with R and Python - Second Edition

Product type Book
Published in Aug 2017
Publisher
ISBN-13 9781788621199
Pages 432 pages
Edition 2nd Edition
Languages
Toc

Table of Contents (19) Chapters close

Statistical Application Development with R and Python - Second Edition
Credits
About the Author
Acknowledgment
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
1. Data Characteristics 2. Import/Export Data 3. Data Visualization 4. Exploratory Analysis 5. Statistical Inference 6. Linear Regression Analysis 7. Logistic Regression Model 8. Regression Models with Regularization 9. Classification and Regression Trees 10. CART and Beyond Index

Pareto chart


The Pareto rule, also known as the 80-20 rule or the law of vital few, says that approximately 80 percent of the defects are due to 20 percent of the causes. It is important as it can identify 20 percent vital causes whose elimination annihilates 80 percent of the defects. The qcc package contains the function pareto.chart, which helps in generating the Pareto chart. We will give a simple illustration of this chart.

The Pareto chart is a display of the cause frequencies along two axes. Suppose that we have 10 causes C1 to C10 that have occurred with defect counts 5, 23, 7, 41, 19, 4, 3, 4, 2, and 1. Causes 2, 4, and 5 have high frequencies (dominating?) and other causes look a bit feeble. Now, let us sort these causes by decreasing the order and obtain their cumulative frequencies. We will also obtain their cumulative percentages:

> Cause_Freq <- c(5, 23, 7, 41, 19, 4, 3, 4, 2, 1)
> names(Cause_Freq) <- paste("C",1:10,sep="")
> Cause_Freq_Dec <- sort(Cause_Freq...
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 €14.99/month. Cancel anytime