The R library for ExamPA.net, the comprehensive, all-in-one solution to help you pass PA. Includes practice exams and quizzes and video tutorials. Don’t let PA stop you from earning your ASA!
5 years. That’s the average time required to pass all the exams to get an ASA. The pass rate of PA is only 50%. And this includes people who are taking PA for a second time. Having to retake PA adds another 6 months to this journey.
For your convenience, all data in this book, including data from prior exams and sample solutions, has been put into a library called ExamPAData
which is available on CRAN.
install.packages("ExamPAData")
library(ExamPAData)
To get the data dictionary for a data set, use ?dataset_name
such as ?customer_phone_calls
. For your convenience, you can use these data sets for your own practice. They make great candidates for machine learning problems.
Dataset | Description |
---|---|
customer_phone_calls |
Data used on June 18, 2020 Exam PA |
patient_length_of_stay |
Data used on June 16, 2020 Exam PA |
patient_num_labs |
Data used on June 19, 2020 Exam PA |
actuary_salaries |
DW Simpson actuarial salary data |
june_pa |
Auto crash data set from SOA June 2019 PA |
customer_value |
Customer value data set from December 2019 PA |
exam_pa_titanic |
Titanic passengers as used in ExamPA.net's practice exam |
apartment_apps |
Apartment applications as used in ExamPA.net's Practice Exam |
health_insurance |
Health insurance claims as used in ExamPA.net's Practice Exam |
student_success |
SOA Student Success PA Sample Project, 2019 |
readmission |
SOA Hospital Readmissions Sample Exam, 2019 |
auto_claim |
Automotive claims |
boston |
Boston housing data set |
bank_loans |
Credit data from UCI Machine Learning Repository |