bulkreadr: The Ultimate Tool for Reading Data in Bulk

Designed to simplify and streamline the process of reading and processing large volumes of data in R, this package offers a collection of functions tailored for bulk data operations. It enables users to efficiently read multiple sheets from Microsoft Excel and Google Sheets workbooks, as well as various CSV files from a directory. The data is returned as organized data frames, facilitating further analysis and manipulation. Ideal for handling extensive data sets or batch processing tasks, bulkreadr empowers users to manage data in bulk effortlessly, saving time and effort in data preparation workflows. Additionally, the package seamlessly works with labelled data from SPSS and Stata.

Version: 1.1.0
Depends: purrr
Imports: curl, dplyr, fs, googlesheets4, haven, inspectdf, labelled, lubridate, magrittr, openxlsx, readr, readxl, sjlabelled, stats, stringr, tibble
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-11-16
Author: Ezekiel Ogundepo ORCID iD [aut, cre], Ernest Fokoue ORCID iD [ctb], Golibe Ezeechesi [ctb], Fatimo Adebanjo [ctb], Isaac Ajao [ctb]
Maintainer: Ezekiel Ogundepo <gbganalyst at gmail.com>
BugReports: https://github.com/gbganalyst/bulkreadr/issues
License: MIT + file LICENSE
URL: https://github.com/gbganalyst/bulkreadr
NeedsCompilation: no
Materials: README NEWS
CRAN checks: bulkreadr results

Documentation:

Reference manual: bulkreadr.pdf
Vignettes: bulkreadr

Downloads:

Package source: bulkreadr_1.1.0.tar.gz
Windows binaries: r-devel: bulkreadr_1.1.0.zip, r-release: bulkreadr_1.1.0.zip, r-oldrel: bulkreadr_1.1.0.zip
macOS binaries: r-release (arm64): bulkreadr_1.1.0.tgz, r-oldrel (arm64): bulkreadr_1.1.0.tgz, r-release (x86_64): bulkreadr_1.1.0.tgz
Old sources: bulkreadr archive

Linking:

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