One4All
R package for data validation and visualization with a focus on microplastic data.
https://github.com/moore-institute-4-plastic-pollution-res/one4all
Category: Natural Resources
Sub Category: Water Supply and Quality
Last synced: about 4 hours ago
JSON representation
Repository metadata
R package for data validation and visualization with a focus on microplastic data.
- Host: GitHub
- URL: https://github.com/moore-institute-4-plastic-pollution-res/one4all
- Owner: Moore-Institute-4-Plastic-Pollution-Res
- License: other
- Created: 2023-04-20T23:48:59.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-07-16T17:35:32.000Z (10 months ago)
- Last Synced: 2025-01-12T01:31:46.402Z (4 months ago)
- Language: R
- Size: 178 MB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 1
- Releases: 2
-
Metadata Files:
- Readme: README.md
- Changelog: NEWS.md
- License: LICENSE
README.md
One4All
Overview
The One4All portal was designed to streamline data validation and formatting tasks. Its primary function is to read a set of rules from a 'CSV' or 'Excel' file to validate a dataset.
The package functions and Validator Tool also aid in creating valid 'Excel' files with conditional formatting based on specified rules, making it easier to identify and manage inconsistencies in data. Overall, the One4All portal aims to enhance data validation and management processes for a more efficient and accurate workflow.
Additionally, the One4All package has a variety of functionality and has been integrated in the Data Visualization Tool and the Microplastic Image Explorer, both available for use in this repository (see below).
Installation
One4All is available from CRAN and GitHub.
Get the released version from CRAN:
install.packages("One4All")
Or the development version from GitHub:
# install.packages("remotes")
remotes::install_github("Moore-Institute-4-Plastic-Pollution-Res/One4All")
Getting Started
library(One4All)
Tools
Users can run each of the tools using this function and replacing the app name:
run_app(app = "validator")
run_app(app = "data_visualization")
run_app(app = "microplastic_image_explorer")
Data Validator
Data validation is essential before sharing data widely. The functionality of the Validator app is based on the One4All package
.
If using the web app:
- Go to openanalysis.org/one4all.
- The code for the app is in /inst/apps/validator.
Data Visualization
The Data Visualization Tool allows users to analyze microplastics data through maps, plots, and tables. We also aim to integrate shared data from the Validator tool. The code for the app is in /inst/apps/data_visualization.
- To get started with the tool, go to openanalysis.org/microplastic_analysis.
Microplastic Image Explorer
The Microplastic Image Explorer allows users to query microplastic images from our database by selecting filters. Users can apply more than one filter from citation, color, morphology, and/or polymer. The code for the app is in /inst/apps/microplastic_image_explorer.
- To get started with the tool, go to openanalysis.org/microplastic_image_explorer.
Additional Instructions
Access the pkgdown and vignettes here: https://moore-institute-4-plastic-pollution-res.github.io/One4All/
Contributing
Contributions to One4All are welcome!
- Some ideas on How to Contribute.
- Please adhere to this project's Code of Conduct.
- Open an issue or pull request here.
License
One4All is released under the MIT License. Please see the license file for more information.
Owner metadata
- Name: Moore Institute for Plastic Pollution Research
- Login: Moore-Institute-4-Plastic-Pollution-Res
- Email: [email protected]
- Kind: organization
- Description:
- Website: mooreplasticresearch.org
- Location: United States of America
- Twitter: mooreplasticres
- Company:
- Icon url: https://avatars.githubusercontent.com/u/104230762?v=4
- Repositories: 1
- Last ynced at: 2023-03-06T06:43:42.765Z
- Profile URL: https://github.com/Moore-Institute-4-Plastic-Pollution-Res
GitHub Events
Total
Last Year
Committers metadata
Last synced: 7 days ago
Total Commits: 325
Total Committers: 3
Avg Commits per committer: 108.333
Development Distribution Score (DDS): 0.28
Commits in past year: 131
Committers in past year: 3
Avg Commits per committer in past year: 43.667
Development Distribution Score (DDS) in past year: 0.099
Name | Commits | |
---|---|---|
hsherrod2019 | h****9@g****m | 234 |
Win Cowger, PhD | w****r@g****m | 87 |
nickleong20 | n****k@m****g | 4 |
Committer domains:
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 3
Total pull requests: 141
Average time to close issues: 21 days
Average time to close pull requests: about 5 hours
Total issue authors: 3
Total pull request authors: 2
Average comments per issue: 1.0
Average comments per pull request: 0.01
Merged pull request: 141
Bot issues: 0
Bot pull requests: 0
Past year issues: 1
Past year pull requests: 65
Past year average time to close issues: about 6 hours
Past year average time to close pull requests: 1 minute
Past year issue authors: 1
Past year pull request authors: 2
Past year average comments per issue: 2.0
Past year average comments per pull request: 0.0
Past year merged pull request: 65
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- stephpenn1 (1)
- wincowgerDEV (1)
- hsherrod2019 (1)
Top Pull Request Authors
- hsherrod2019 (139)
- wincowgerDEV (2)
Top Issue Labels
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- cran: 263 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 3
- Total maintainers: 1
cran.r-project.org: One4All
Validate, Share, and Download Data
- Homepage: https://github.com/Moore-Institute-4-Plastic-Pollution-Res/One4All
- Documentation: http://cran.r-project.org/web/packages/One4All/One4All.pdf
- Licenses: MIT + file LICENSE
- Latest release: 0.5 (published 10 months ago)
- Last Synced: 2025-04-27T04:31:18.742Z (1 day ago)
- Versions: 3
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 263 Last month
-
Rankings:
- Dependent packages count: 28.166%
- Dependent repos count: 36.07%
- Average: 49.556%
- Downloads: 84.431%
- Maintainers (1)
Dependencies
- R >= 4.0.0 depends
- aws.s3 * imports
- ckanr * imports
- data.table * imports
- digest * imports
- dplyr * imports
- lexicon * imports
- openxlsx * imports
- readr * imports
- readxl * imports
- rlang * imports
- shiny * imports
- tibble * imports
- validate * imports
- DT * suggests
- RCurl * suggests
- bs4Dash * suggests
- config * suggests
- knitr * suggests
- listviewer * suggests
- purrr * suggests
- rmarkdown * suggests
- shinyWidgets * suggests
- shinyjs * suggests
- shinythemes * suggests
- stringr * suggests
- testthat >= 3.0.0 suggests
Score: 8.060855752934316