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Basic Pattern Analysis
Run basic pattern analyses on character sets, digits, or combined input containing both characters and numeric digits. Useful for data cleaning and for identifying columns containing multiple or nonstandard formats.
Easily Tidy Gapminder Datasets
A toolset that allows you to easily import and tidy data sheets retrieved from Gapminder data web tools. It will therefore contribute to reduce the time used in data cleaning of Gapminder indicator data sheets as they are very messy.
r Client for OpenRefine API
'OpenRefine' (formerly 'Google Refine') is a popular, open source data cleaning software. This package enables users to programmatically trigger data transfer between R and 'OpenRefine'. Available functionality includes project import, export and deletion.
Create Elegant Data Visualisations Using the Grammar of Graphics
A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.
Tidy Consultant Universe
Loads the 5 packages in the Tidy Consultant Universe. This collection of packages is useful for anyone doing data science, data analysis, or quantitative consulting. The functions in these packages range from data cleaning, data validation, data binning, statistical modeling, and file exporting.
Precision Agriculture Data Analysis
Precision agriculture spatial data
depuration and homogeneous zones (management zone) delineation.
The package includes functions that performs protocols for data cleaning
management zone delineation and zone comparison; protocols are described in
Paccioretti et al., (2020)
Interface to the World Database on Protected Areas
Fetch and clean data from the World Database on Protected
Areas (WDPA) and the World Database on Other Effective Area-Based
Conservation Measures (WDOECM). Data is obtained from Protected Planet
< https://www.protectedplanet.net/en>. To augment data cleaning procedures,
users can install the 'prepr' R package (available at
< https://github.com/prioritizr/prepr>). For more information on this
package, see Hanson (2022)
R Wrapper for the 'OneMap.Sg API'
An R wrapper for the 'OneMap.Sg' API < https://www.onemap.gov.sg/docs/>. Functions help users query data from the API and return raw JSON data in "tidy" formats. Support is also available for users to retrieve data from multiple API calls and integrate results into single dataframes, without needing to clean and merge the data themselves. This package is best suited for users who would like to perform analyses with Singapore's spatial data without having to perform excessive data cleaning.
Text Analysis for All
An R 'shiny' app designed for diverse text analysis tasks, offering a wide range of methodologies tailored to Natural Language Processing (NLP) needs. It is a versatile, general-purpose tool for analyzing textual data. 'tall' features a comprehensive workflow, including data cleaning, preprocessing, statistical analysis, and visualization, all integrated for effective text analysis.
'Geocoordinate Validation Service'
The 'Geocoordinate Validation Service' (GVS) runs checks of coordinates in latitude/longitude format. It returns annotated coordinates with additional flags and metadata that can be used in data cleaning. Additionally, the package has functions related to attribution and metadata information. More information can be found at < https://github.com/ojalaquellueva/gvs/tree/master/api>.