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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: |
0.4.1 |
| Depends: |
R (≥ 2.10), dplyr |
| Imports: |
DBI, dbplyr, datasets, downloader, fs, janitor, lubridate, methods, readr, rlang, rvest, tibble, usethis, utils, xml2 |
| Suggests: |
knitr, RSQLite, RPostgreSQL, RMySQL, ggplot2, testthat, rmarkdown |
| Published: |
2023-10-12 |
| Author: |
Benjamin S. Baumer
 [aut, cre],
Carson Sievert [ctb],
Natalia Iannucci [ctb] |
| Maintainer: |
Benjamin S. Baumer <ben.baumer at gmail.com> |
| BugReports: |
https://github.com/beanumber/etl/issues |
| License: |
CC0 |
| URL: |
https://github.com/beanumber/etl |
| NeedsCompilation: |
no |
| Citation: |
etl citation info |
| Materials: |
README NEWS |
| CRAN checks: |
etl results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=etl
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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