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. With a collection of functions tailored for bulk data operations, the package allows users to efficiently read multiple sheets from 'Microsoft Excel'/'Google Sheets' workbooks and multiple CSV files from a directory. It returns the data as organized data frames, making it convenient for further analysis and manipulation. Whether dealing with extensive data sets or batch processing tasks, 'bulkreadr' empowers users to effortlessly handle data in bulk, saving time and effort in data preparation workflows.

Version: 0.2.0
Depends: dplyr, purrr, tibble
Imports: curl, fs, googlesheets4, haven, inspectdf, lubridate, magrittr, openxlsx, readr, readxl, sjlabelled, stats, stringr
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-09-15
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


Reference manual: bulkreadr.pdf
Vignettes: bulkreadr


Package source: bulkreadr_0.2.0.tar.gz
Windows binaries: r-devel: bulkreadr_0.2.0.zip, r-release: bulkreadr_0.2.0.zip, r-oldrel: bulkreadr_0.2.0.zip
macOS binaries: r-release (arm64): bulkreadr_0.2.0.tgz, r-oldrel (arm64): bulkreadr_0.2.0.tgz, r-release (x86_64): bulkreadr_0.2.0.tgz, r-oldrel (x86_64): bulkreadr_0.2.0.tgz
Old sources: bulkreadr archive


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