Science Score: 18.0%
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
-
○.zenodo.json file
-
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (3.4%) to scientific vocabulary
Last synced: 10 months ago
·
JSON representation
·
Repository
Basic Info
- Host: GitHub
- Owner: Reed-Statistics
- Language: HTML
- Default Branch: master
- Size: 1.9 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 6 years ago
· Last pushed about 6 years ago
Metadata Files
Readme
Citation
README.md
GapMap
We created a shiny app called GapMap where we can explore the relationship between the severity (number of confirmed cases and deaths) of COVID-19 and health insurance coverage in the US at a county level. The user can look into a direct correlation graph or look at a spatial map/representation of the correlation. The user can also access the code used to make the app by clicking at the source code tab. The sources used for the app are cited and included in a seperate file called Citation.
Owner
- Name: Reed-Statistics
- Login: Reed-Statistics
- Kind: organization
- Repositories: 27
- Profile: https://github.com/Reed-Statistics
Citation (Citation.Rmd)
---
title: "GapMap Citation"
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
“COVID-19 Map.” Johns Hopkins Coronavirus Resource Center, coronavirus.jhu.edu/map.html.
“COVID-19 Pandemic.” Wikipedia, Wikimedia Foundation, 7 May 2020,
en.wikipedia.org/wiki/COVID-19_pandemic.
Bhaskar Karambelkar and Barret Schloerke (2018). leaflet.extras: Extra
Functionality for 'leaflet' Package. R package version 1.0.0.
https://CRAN.R-project.org/package=leaflet.extras
Simon Garnier (2018). viridis: Default Color Maps from 'matplotlib'. R
package version 0.5.1. https://CRAN.R-project.org/package=viridis
Pebesma, E., 2018. Simple Features for R: Standardized Support for Spatial
Vector Data. The R Journal 10 (1), 439-446,
https://doi.org/10.32614/RJ-2018-009
Jim Hester (2019). glue: Interpreted String Literals. R package version
1.3.1. https://CRAN.R-project.org/package=glue
Joe Cheng, Bhaskar Karambelkar and Yihui Xie (2019). leaflet: Create
Interactive Web Maps with the JavaScript 'Leaflet' Library. R package
version 2.0.3. https://CRAN.R-project.org/package=leaflet
Hadley Wickham and Lionel Henry (2020). tidyr: Tidy Messy Data. R package
version 1.0.2. https://CRAN.R-project.org/package=tidyr
Wickham et al., (2019). Welcome to the tidyverse. Journal of Open Source
Software, 4(43), 1686, https://doi.org/10.21105/joss.01686
Kyle Walker (2020). tidycensus: Load US Census Boundary and Attribute Data
as 'tidyverse' and 'sf'-Ready Data Frames. R package version 0.9.9.2.
https://CRAN.R-project.org/package=tidycensus
Winston Chang (2018). shinythemes: Themes for Shiny. R package version
1.1.2. https://CRAN.R-project.org/package=shinythemes
Winston Chang and Barbara Borges Ribeiro (2018). shinydashboard: Create
Dashboards with 'Shiny'. R package version 0.7.1.
https://CRAN.R-project.org/package=shinydashboard
Winston Chang, Joe Cheng, JJ Allaire, Yihui Xie and Jonathan McPherson
(2019). shiny: Web Application Framework for R. R package version 1.4.0.
https://CRAN.R-project.org/package=shiny
H. Wickham. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag
New York, 2016.
Hadley Wickham and Lionel Henry (2020). tidyr: Tidy Messy Data. R package
version 1.0.2. https://CRAN.R-project.org/package=tidyr