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.


Reference manual

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install.packages("bulkreadr")

1.2.2 by Ezekiel Ogundepo, 6 months ago


https://github.com/gbganalyst/bulkreadr, https://gbganalyst.github.io/bulkreadr/


Report a bug at https://github.com/gbganalyst/bulkreadr/issues


Browse source code at https://github.com/cran/bulkreadr


Authors: Ezekiel Ogundepo [aut, cre] (ORCID: , Ernest Fokoue [ctb] , Golibe Ezeechesi [ctb] , Fatimo Adebanjo [ctb] , Isaac Ajao [ctb]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports curl, dplyr, fs, googlesheets4, haven, labelled, lubridate, magrittr, methods, openxlsx, readr, readxl, rlang, sjlabelled, stats, stringr, tibble, tidyr

Depends on purrr

Suggests knitr, rmarkdown, testthat


See at CRAN