Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/michaelchirico/assorted_code
random neat snippets of code that come up here and there
https://github.com/michaelchirico/assorted_code
Last synced: about 1 month ago
JSON representation
random neat snippets of code that come up here and there
- Host: GitHub
- URL: https://github.com/michaelchirico/assorted_code
- Owner: MichaelChirico
- Created: 2015-06-03T22:46:40.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2018-09-07T02:41:49.000Z (about 6 years ago)
- Last Synced: 2023-12-13T06:20:46.206Z (11 months ago)
- Language: R
- Size: 3.52 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Miscellaneous Projects & Associated Files
- `ASPES`: R implementation of practice exercise demonstrating [Harvill and Moulton's Analysis of Symmetrically Predicted Endogenous Subgroups (ASPES)](https://ies.ed.gov/funding/grantsearch/details.asp?ID=1645)
- `courant_currency`: [incomplete] This project aims to create a simple application for international travelers to be able to get an intuitive understanding of strange "Monopoly" currencies they'll encounter by mapping the currency to a reference set (at current exchange rates).
- `econ_journal_index`: Inspired by Frank Diebold to generate a new metric for journal primacy, this project contains code to create a "Citation Signature Plot" for several commonly understood "top" economics journals.
- `home_runs`: All-Time Home Run Leaders, by Season: Using `Lahman` data, calculate who the top 10 home run hitters were in every year, and the trajectories of each member to their current total.
+ `home_run_leaders.R` - GIF version
+ `app.R` - `shiny` version, deployed [here](https://michaelchirico.shinyapps.io/home_runs/)
- `social_security_names`: Relative Frequency of the 676 first/last name initial pairs, as pulled from the 80 million names in the [Social Security Death Index Master File](http://ssdmf.info/).
+ `social_security_initials.R` - Extract from raw data to initial-by-year and initial-level aggregated counts
+ `app.r` - `shiny` version, deployed [here](https://michaelchirico.shinyapps.io/social_security_names/)
+ `social_security_tabulated.csv` - Aggregated data, counts by initial pair
+ `social_security_tabulated_by_year.csv` - Aggregated data, counts by initial pair by year