The Ultimate Tool for Reading Data in Bulk
bulkreadr is a robust and user-friendly R package designed to optimize the process of importing and processing large datasets. It offers streamlined functionality for reading multiple sheets from Microsoft Excel or Google Sheets workbooks, as well as handling multiple CSV files from a directory with ease.
In addition, bulkreadr provides seamless compatibility with labelled data from software such as SPSS and Stata, automatically converting coded values into their respective labels upon import. This significantly reduces manual effort, making it an invaluable resource for data analysts and researchers looking to save time and optimize their workflows.
For a quick video tutorial, I gave a talk at the International Association of Statistical Computing webinar. The recorded session is available here and the webinar resources here.
You can install bulkreadr package from
CRAN with:
install.packages("bulkreadr")or the development version from GitHub with
if(!require("devtools")){
install.packages("devtools")
}
devtools::install_github("gbganalyst/bulkreadr")Now that you have installed bulkreadr package, you can simply load it
by using:
library(bulkreadr)To get started with bulkreadr, read the
docs.
bulkreadr is designed to integrate with and augment the capabilities of
established packages such as readxl, readr, and googlesheets4,
offering enhanced functionality for reading bulk data within the R
programming environment.
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readxl is the tidyverse package for reading Excel files (xls or xlsx) into an R data frame.
-
readr is the tidyverse package for reading delimited files (e.g., csv or tsv) into an R data frame.
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googlesheets4 is the package to interact with Google Sheets through the Sheets API v4 https://developers.google.com/sheets/api.