https://github.com/sdcastillo/ExamPAData

A container for data sets to help actuaries who are practicing predictive analytics
https://github.com/sdcastillo/ExamPAData

content-marketing cran education etl etl-pipeline

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A container for data sets to help actuaries who are practicing predictive analytics

• Host: GitHub
• URL: https://github.com/sdcastillo/ExamPAData
• Owner: sdcastillo
• License: other
• Created: 2019-10-21T16:31:49.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2023-12-16T04:59:36.000Z (9 months ago)
• Last Synced: 2024-07-21T11:03:16.835Z (2 months ago)
• Topics: content-marketing, cran, education, etl, etl-pipeline
• Language: R
• Homepage:
• Size: 20.5 MB
• Stars: 7
• Watchers: 2
• Forks: 4
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• jimsghstars - sdcastillo/ExamPAData - A container for data sets to help actuaries who are practicing predictive analytics (R)

README

        
## About

The R library for [ExamPA.net](https://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.

## Download the data

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.

```{r eval = F}

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 |