bdpar: Big Data Preprocessing Architecture

Provide a tool to easily build customized data flows to pre-process large volumes of information from different sources. To this end, 'bdpar' allows to (i) easily use and create new functionalities and (ii) develop new data source extractors according to the user needs. Additionally, the package provides by default a predefined data flow to extract and pre-process the most relevant information (tokens, dates, ... ) from some textual sources (SMS, Email, tweets, YouTube comments).

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: ini, magrittr, pipeR, purrr, R6, rlist, svMisc, tools, utils
Suggests: cld2, knitr, readr, rex, rjson, rmarkdown, rtweet, stringi, stringr, testthat (≥ 2.1.1), textutils, tuber
Published: 2019-07-26
Author: Miguel Ferreiro-Díaz [aut, cre], David Ruano-Ordás [aut, ctr], Tomás R. Cotos-Yañez [aut, ctr], University of Vigo [cph]
Maintainer: Miguel Ferreiro-Díaz <miguel.ferreiro.diaz at gmail.com>
BugReports: https://github.com/miferreiro/bdpar/issues
License: GPL-3
URL: https://github.com/miferreiro/bdpar
NeedsCompilation: no
SystemRequirements: Python (>= 2.7)
Materials: NEWS
CRAN checks: bdpar results

Downloads:

Reference manual: bdpar.pdf
Vignettes: A Brief Introduction to bdpar
Package source: bdpar_1.0.0.tar.gz
Windows binaries: r-devel: bdpar_1.0.0.zip, r-release: bdpar_1.0.0.zip, r-oldrel: bdpar_1.0.0.zip
OS X binaries: r-release: bdpar_1.0.0.tgz, r-oldrel: bdpar_1.0.0.tgz

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