Package: bulkreadr 1.1.1
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_1.1.1.tar.gz
bulkreadr_1.1.1.zip(r-4.5)bulkreadr_1.1.1.zip(r-4.4)bulkreadr_1.1.1.zip(r-4.3)
bulkreadr_1.1.1.tgz(r-4.4-any)bulkreadr_1.1.1.tgz(r-4.3-any)
bulkreadr_1.1.1.tar.gz(r-4.5-noble)bulkreadr_1.1.1.tar.gz(r-4.4-noble)
bulkreadr_1.1.1.tgz(r-4.4-emscripten)bulkreadr_1.1.1.tgz(r-4.3-emscripten)
bulkreadr.pdf |bulkreadr.html✨
bulkreadr/json (API)
NEWS
| # Install 'bulkreadr' in R: |
| install.packages('bulkreadr', repos = c('https://gbganalyst.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gbganalyst/bulkreadr/issues
Pkgdown site:https://gbganalyst.github.io
bulkreadercsv-readerdata-importgooglesheetsmissing-valuesxlsxreader
Last updated 4 months agofrom:782408235b. Checks:5 OK, 2 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 08 2025 |
| R-4.5-win | NOTE | Jan 08 2025 |
| R-4.5-linux | NOTE | Jan 08 2025 |
| R-4.4-win | OK | Jan 08 2025 |
| R-4.4-mac | OK | Jan 08 2025 |
| R-4.3-win | OK | Jan 08 2025 |
| R-4.3-mac | OK | Jan 08 2025 |
Exports:%>%convert_to_datefill_missing_valuesgenerate_dictionaryinspect_nalook_forpull_outread_csv_files_from_dirread_excel_files_from_dirread_excel_workbookread_gsheetsread_spss_dataread_stata_data
Dependencies:askpassbitbit64cellrangerclicliprcolorspacecommonmarkcpp11crayoncurldatawizarddplyrfansifarverforcatsfsgarglegenericsggfittextggplot2gluegoogledrivegooglesheets4gridtextgtablehavenhmshttridsinsightinspectdfisobandjpegjsonlitelabelinglabelledlatticelifecyclelubridatemagrittrmarkdownMASSMatrixmgcvmimemunsellnlmeopensslopenxlsxpillarpkgconfigpngprettyunitsprogresspurrrR6rappdirsRColorBrewerRcppreadrreadxlrematchrematch2rlangscalesshadessjlabelledstringistringrsystibbletidyrtidyselecttimechangetzdbutf8uuidvctrsviridisLitevroomwithrxfunxml2zip
Introduction to bulkreadr
Rendered frombulkreadr.Rmdusingknitr::rmarkdownon Jan 08 2025.Last update: 2024-03-06
Started: 2023-09-11
Introduction to labelled data
Rendered fromlabelled-data.Rmdusingknitr::rmarkdownon Jan 08 2025.Last update: 2024-02-25
Started: 2024-02-25
Other functions in bulkreadr
Rendered fromother-functions.Rmdusingknitr::rmarkdownon Jan 08 2025.Last update: 2024-04-11
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 |
