etl: Extract-Transform-Load Framework for Medium Data

A predictable and pipeable framework for performing ETL (extract-transform-load) operations on publicly-accessible medium-sized data set. This package sets up the method structure and implements generic functions. Packages that depend on this package download specific data sets from the Internet, clean them up, and import them into a local or remote relational database management system.

Version: 0.3.7
Depends: R (≥ 2.10), dplyr
Imports: DBI, datasets, downloader, lubridate, methods, stringr, readr, rlang, rvest, tibble, utils, xml2
Suggests: devtools, dbplyr, knitr, macleish, RSQLite, RPostgreSQL, RMySQL, MonetDBLite, ggplot2, testthat, rmarkdown
Published: 2017-09-27
Author: Ben Baumer [aut, cre], Carson Sievert [ctb]
Maintainer: Ben Baumer <ben.baumer at gmail.com>
BugReports: https://github.com/beanumber/etl/issues
License: CC0
URL: http://github.com/beanumber/etl
NeedsCompilation: no
Citation: etl citation info
Materials: README NEWS
CRAN checks: etl results

Downloads:

Reference manual: etl.pdf
Vignettes: Extending etl
Using etl
Package source: etl_0.3.7.tar.gz
Windows binaries: r-devel: etl_0.3.7.zip, r-release: etl_0.3.7.zip, r-oldrel: etl_0.3.7.zip
OS X El Capitan binaries: r-release: etl_0.3.7.tgz
OS X Mavericks binaries: r-oldrel: etl_0.3.7.tgz
Old sources: etl archive

Reverse dependencies:

Reverse depends: macleish, nyctaxi
Reverse suggests: mdsr

Linking:

Please use the canonical form https://CRAN.R-project.org/package=etl to link to this page.