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pell

An R package to get the cleaned Pell grant data provided by the US Board of Education.

https://github.com/curious-joe/pell

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (14.2%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

An R package to get the cleaned Pell grant data provided by the US Board of Education.

Basic Info
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 3 years ago · Last pushed over 2 years ago
Metadata Files
Readme Changelog License Citation

README.Rmd 

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# pell 


[![R-CMD-check](https://github.com/Curious-Joe/pell/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/Curious-Joe/pell/actions/workflows/R-CMD-check.yaml)


This package contains one dataset that contains total [Pell grant](https://www2.ed.gov/programs/fpg/index.html) distributed by different colleges/universities over the years across the entire United States of America. 

## Installation

You can install the released version of `pell` from [CRAN](https://cran.r-project.org/) with:

```r
# Install the released version from CRAN
install.packages("pell")
```
You can install the development version of `pell` from [GitHub](https://github.com/) with:

```r
install.packages("devtools")
devtools::install_github("Curious-Joe/pell")
```

## About the data

Data is collected and distributed by the US Department of Education. The raw data provided in their website are non-standardized, and need some extensive data cleaning to make them useful as a whole.

In this package, the raw data files were sourced from their website, cleaned, standardized, and joined together into one dataset:

* `pell`: For each year since 1999 to 2017 how much total money was disbursed as Pell grant by each institution across the USA.

## Example

Load the dataset:

```{r}
library(pell)
data(pell)
```

Explore first 5 rows:

```{r}
head(pell)
```

## References

Data originally published in:

* US Department of Education Website: https://www2.ed.gov/finaid/prof/resources/data/pell-institution.html

Owner

  • Name: Arafath Hossain
  • Login: Curious-Joe
  • Kind: user
  • Location: Normal, IL
  • Company: Illinois State University

Data Scientist by profession and tech enthusiast by passion

Citation (CITATION.cff) 

# -----------------------------------------------------------
# CITATION file created with {cffr} R package, v0.2.2
# See also: https://docs.ropensci.org/cffr/
# -----------------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "pell" in publications use:'
type: software
license: MIT
title: 'pell: An R package containing data about historic Pell grant distribution
  in the US'
version: 0.0.0.9000
abstract: Historic Pell grant data as provided by the US Department of Education.
  This package contains data about how much pell grant was awarded by which institution
  in which year.
authors:
- family-names: Hossain
  given-names: Arafath
  email: a.h.fahad90@gmail.com
preferred-citation:
  type: manual
  title: 'pell: An R package containing data about historic Pell grant distribution
    in the US'
  authors:
  - family-names: Hossain
    given-names: Arafath
    email: a.h.fahad90@gmail.com
  version: 0.0.0.9000
  abstract: Historic Pell grant data as provided by the US Department of Education.
    This package contains data about how much pell grant was awarded by which institution
    in which year.
  repository-code: https://github.com/Curious-Joe/pell
  url: https://github.com/Curious-Joe/pell
  contact:
  - family-names: Hossain
    given-names: Arafath
    email: a.h.fahad90@gmail.com
  license: MIT
  year: '2022'
repository-code: https://github.com/Curious-Joe/pell
url: https://github.com/Curious-Joe/pell
contact:
- family-names: Hossain
  given-names: Arafath
  email: a.h.fahad90@gmail.com
references:
- type: software
  title: 'R: A Language and Environment for Statistical Computing'
  notes: Depends
  authors:
  - name: R Core Team
  location:
    name: Vienna, Austria
  year: '2022'
  url: https://www.R-project.org/
  institution:
    name: R Foundation for Statistical Computing
  version: '>= 2.10'

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Dependencies

DESCRIPTION cran
  • R >= 2.10 depends
  • dplyr * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • treemap * suggests
  • visdat * suggests
.github/workflows/R-CMD-check.yaml actions
  • actions/checkout v2 composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/pkgdown.yaml actions
  • JamesIves/github-pages-deploy-action 4.1.4 composite
  • actions/checkout v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite