Examples: visualization, C++, networks, data cleaning, html widgets, ropensci.

Found 8 packages in 0.02 seconds

proustr — by Colin FAY, 10 months ago

Tools for Natural Language Processing in French

Tools for Natural Language Processing in French and texts from Marcel Proust's collection "A La Recherche Du Temps Perdu". The novels contained in this collection are "Du cote de chez Swann ", "A l'ombre des jeunes filles en fleurs","Le Cote de Guermantes", "Sodome et Gomorrhe I et II", "La Prisonniere", "Albertine disparue", and "Le Temps retrouve".

rgeoapi — by Colin FAY, 2 years ago

Get Information from the GeoAPI

Provides access to information from < https://api.gouv.fr/explorer/geoapi/> about French "Communes", "Departements" and "Regions".

languagelayeR — by Colin FAY, 7 months ago

Access the 'languagelayer' API

Improve your text analysis with languagelayer < https://languagelayer.com>, a powerful language detection API.

attempt — by Colin Fay, 7 months ago

Easy Condition Handling

A friendlier condition handler, inspired by 'purrr' mappers and based on 'rlang'.'attempt' extends and facilitates condition handling by providing a consistent grammar, and provides a set of easy to use functions for common tests and conditions. 'attempt' only depends on 'rlang', and focuses on speed, so it can be easily integrated in other functions and used in data analysis.

rpinterest — by Colin FAY, 2 years ago

Access Pinterest API

Get information (boards, pins and users) from the Pinterest < http://www.pinterest.com> API.

tidystringdist — by Colin Fay, 7 months ago

String Distance Calculation with Tidy Data Principles

Calculation of string distance following the tidy data principles. Built on top of the 'stringdist' package.

XKCDdata — by Robert Myles McDonnell, 10 months ago

Get XKCD Comic Data

Download data from individual XKCD comics, written by Randall Munroe < https://xkcd.com/>.

naniar — by Nicholas Tierney, a year ago

Data Structures, Summaries, and Visualisations for Missing Data

Missing values are ubiquitous in data and need to be explored and handled in the initial stages of analysis. 'naniar' provides data structures and functions that facilitate the plotting of missing values and examination of imputations. This allows missing data dependencies to be explored with minimal deviation from the common work patterns of 'ggplot2' and tidy data.