Package: bulkreadr 1.2.2.9000
Ezekiel Ogundepo
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.
Authors:
bulkreadr_1.2.2.9000.tar.gz
bulkreadr_1.2.2.9000.zip(r-4.7)bulkreadr_1.2.2.9000.zip(r-4.6)bulkreadr_1.2.2.9000.zip(r-4.5)
bulkreadr_1.2.2.9000.tgz(r-4.6-any)bulkreadr_1.2.2.9000.tgz(r-4.5-any)
bulkreadr_1.2.2.9000.tar.gz(r-4.7-any)bulkreadr_1.2.2.9000.tar.gz(r-4.6-any)
bulkreadr_1.2.2.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
bulkreadr/json (API)
NEWS
| # Install 'bulkreadr' in R: |
| install.packages('bulkreadr', repos = c('https://champions.ropensci.org', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gbganalyst/bulkreadr/issues
Pkgdown/docs site:https://gbganalyst.github.io
bulkreadercsv-readerdata-importgooglesheetsmissing-valuesxlsxreader
Last updated from:634bfe01cf. Checks:10 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 195 | ||
| source / vignettes | OK | 207 | ||
| linux-release-x86_64 | OK | 166 | ||
| linux-oldrel-x86_64 | OK | 163 | ||
| macos-release-arm64 | OK | 92 | ||
| macos-oldrel-arm64 | OK | 127 | ||
| windows-devel | OK | 110 | ||
| windows-release | OK | 120 | ||
| windows-oldrel | OK | 125 | ||
| wasm-release | OK | 119 |
Exports:%>%convert_to_datefill_missing_valuesgenerate_dictionaryinspect_nalook_forpull_outread_csv_files_from_dirread_excel_files_from_dirread_excel_workbookread_gsheetsread_spss_dataread_stata_datawrite_excel_sheets_to_csv
Dependencies:askpassbitbit64cellrangerclicliprcpp11crayoncurldatawizarddplyrforcatsfsgarglegenericsgluegoogledrivegooglesheets4havenhmshttridsinsightjsonlitelabelledlifecyclelubridatemagrittrmimeopensslopenxlsxpillarpkgconfigprettyunitsprogresspurrrR6rappdirsRcppreadrreadxlrematchrematch2rlangsjlabelledstringistringrsystibbletidyrtidyselecttimechangetzdbutf8uuidvctrsvroomwithrzip
Importing & exporting bulk data
Rendered fromintro-to-bulkreadr.Rmdusingknitr::rmarkdownon Apr 25 2026.Last update: 2025-04-28
Started: 2025-04-28
Introduction to labelled data
Rendered fromlabelled-data.Rmdusingknitr::rmarkdownon Apr 25 2026.Last update: 2026-03-20
Started: 2024-02-25
Other Utility Functions in bulkreadr
Rendered fromother-functions.Rmdusingknitr::rmarkdownon Apr 25 2026.Last update: 2026-04-25
Started: 2024-02-25
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| User friendly date parsing function | convert_to_date |
| Fill missing values in a data frame | fill_missing_values |
| Create a data dictionary from labelled data | generate_dictionary |
| Summarize missingness in data frame columns | inspect_na |
| Look for keywords variable names and descriptions in labelled data | look_for |
| Extract or replace parts of an object | pull_out |
| Reads all CSV files from a directory | read_csv_files_from_dir |
| Read Excel Workbooks data from a directory | read_excel_files_from_dir |
| Import data from multiple sheets of an Excel workbook | read_excel_workbook |
| Import data from multiple sheets in Google Sheets | read_gsheets |
| Read SPSS data file | read_spss_data |
| Read Stata data file | read_stata_data |
| Export Excel Sheets to CSV Files | write_excel_sheets_to_csv |
