Skip to Content
Practical Predictive Analytics
book

Practical Predictive Analytics

by Ralph Winters
June 2017
Beginner to intermediate content levelBeginner to intermediate
576 pages
15h 22m
English
Packt Publishing
Content preview from Practical Predictive Analytics

Generating the data

Next, generate the membership file with 1,000 members and assign it to the member dataframe. The wakefield package uses specialized functions to generate typical values for each of the specified variables:

  • The gender function will generate M, or F with a 50% chance of any individual row being a male or female
  • The set.seed(1010) directive guarantees that the results will be the same no matter how many times you run the code
  • The r_sample_replace() function will generate a unique member ID with a value from 1 to 1000
  • The income, children, employment, level, grad, year, state, and zip_code variables are all randomly generated without supplying any specialized parameters

Open up a new script window, and run the following ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Data Superstream: Analytics Engineering

Data Superstream: Analytics Engineering

Alistair Croll, Anna Filippova, Emilie Schario, Lewis Davies, Jacob Frackson, Benn Stancil, Nick Acosta, Elizabeth Caley
R: Predictive Analysis

R: Predictive Analysis

Tony Fischetti, Eric Mayor, Rui Miguel Forte
Python: Advanced Predictive Analytics

Python: Advanced Predictive Analytics

Ashish Kumar, Joseph Babcock

Publisher Resources

ISBN: 9781785886188Supplemental Content