A User-Friendly Biodiversity Data Cleaning App for the Inexperienced R User

Provides features to manage the complete workflow for biodiversity data cleaning. Uploading data, gathering input from users (in order to adjust cleaning procedures), cleaning data and finally, generating various reports and several versions of the data. Facilitates user-level data cleaning, designed for the inexperienced R user. T Gueta et al (2018) . T Gueta et al (2017) .

Build Status AppVeyor build status Coverage status

User-friendly biodiversity data cleaning pipeline

bdclean will provide features to manage complete pipeline for biodiversity data cleaning. A modular approach to plug in data checking and cleaning functions would make this package one stop shop for many biodiversity data cleaning needs.




Development version, from GitHub


Using bdclean


Cleaning reports should be created in Your-Working-Directory\CleaningReports

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Reference manual

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0.1.15 by Thiloshon Nagarajah, 3 years ago

https://github.com/bd-R/bdclean, https://bd-r.github.io/The-bdverse/index.html

Report a bug at https://github.com/bd-R/bdclean/issues

Browse source code at https://github.com/cran/bdclean

Authors: Thiloshon Nagarajah [aut, cre] , Tomer Gueta [aut] , Vijay Barve [aut] , Ashwin Agrawal [aut] , Povilas Gibas [aut] , Yohay Carmel [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports rmarkdown, knitr, shiny, shinydashboard, shinyjs, leaflet, DT, data.table, rgbif, spocc, finch, bdDwC, bdchecks, methods, tools

Suggests testthat, roxygen2, covr

See at CRAN