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
Last synced: 4 months ago
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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 (over 5 years ago)
- Default Branch: master
- Last Pushed: 2023-12-16T04:59:36.000Z (over 1 year ago)
- Last Synced: 2024-10-13T14:15:31.153Z (6 months ago)
- Topics: content-marketing, cran, education, etl, etl-pipeline
- Language: R
- Homepage:
- Size: 20.5 MB
- Stars: 8
- Watchers: 2
- Forks: 4
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- 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 |