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Easily download datasets from Kaggle <https://www.kaggle.com/> directly into your R environment using 'RKaggle'. Streamline your data analysis workflows by importing datasets effortlessly and focusing on insights rather than manual data handling. Perfect for data enthusiasts and professionals looking to integrate Kaggle datasets into their R projects with minimal hassle.
Version: | 0.1.0 |
Depends: | R (≥ 4.1.0) |
Imports: | httr, readr, withr, jsonlite, arrow, readODS, tibble, readxl |
Suggests: | conflicted |
Published: | 2025-04-02 |
DOI: | 10.32614/CRAN.package.RKaggle |
Author: | Benjamin Smith |
Maintainer: | Benjamin Smith <benyamin.smith at mail.utoronto.ca> |
BugReports: | https://github.com/benyamindsmith/RKaggle/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/benyamindsmith/RKaggle |
NeedsCompilation: | no |
CRAN checks: | RKaggle results |
Reference manual: | RKaggle.pdf |
Package source: | RKaggle_0.1.0.tar.gz |
Windows binaries: | r-devel: RKaggle_0.1.0.zip, r-release: not available, r-oldrel: not available |
macOS binaries: | r-devel (arm64): not available, r-release (arm64): not available, r-oldrel (arm64): not available, r-devel (x86_64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
Please use the canonical form https://CRAN.R-project.org/package=RKaggle to link to this page.
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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