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 
[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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