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 
[aut, cre],
Ernest Fokoue
[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:
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