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).
One4All is available from CRAN and GitHub.
install.packages("One4All")
# install.packages("remotes")
::install_github("Moore-Institute-4-Plastic-Pollution-Res/One4All") remotes
library(One4All)
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 validation is essential before sharing data widely. The functionality of the Validator app is based on the One4All package .
If using the web app:
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.
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.
Access the pkgdown and vignettes here: https://moore-institute-4-plastic-pollution-res.github.io/One4All/
Contributions to One4All are welcome!
One4All is released under the MIT License. Please see the license file for more information.