Package: dbc 0.0.0.9000
dbc: Dictionary-Based Cleaning
Tools for dictionary-based data cleaning.
Authors:
dbc_0.0.0.9000.tar.gz
dbc_0.0.0.9000.zip(r-4.5)dbc_0.0.0.9000.zip(r-4.4)dbc_0.0.0.9000.zip(r-4.3)
dbc_0.0.0.9000.tgz(r-4.4-any)dbc_0.0.0.9000.tgz(r-4.3-any)
dbc_0.0.0.9000.tar.gz(r-4.5-noble)dbc_0.0.0.9000.tar.gz(r-4.4-noble)
dbc_0.0.0.9000.tgz(r-4.4-emscripten)dbc_0.0.0.9000.tgz(r-4.3-emscripten)
dbc.pdf |dbc.html✨
dbc/json (API)
# Install 'dbc' in R: |
install.packages('dbc', repos = c('https://epicentre-msf.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/epicentre-msf/dbc/issues
- clean_categ1 - A cleaning dictionary for categorical variables in example dataset 'll1'
- clean_dates1 - A cleaning dictionary for categorical variables in example dataset 'll1'
- clean_num1 - A cleaning dictionary for numeric variables in example dataset 'll1'
- dict_categ1 - A dictionary of allowed values for categorical variables in example dataset 'll1'
- ll1 - An example messy dataset to clean
- ll2 - An example messy dataset to clean, an extension of 'll1'
Last updated 1 years agofrom:33b48fba8d. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 24 2024 |
R-4.5-win | OK | Oct 24 2024 |
R-4.5-linux | OK | Oct 24 2024 |
R-4.4-win | OK | Oct 24 2024 |
R-4.4-mac | OK | Oct 24 2024 |
R-4.3-win | OK | Oct 24 2024 |
R-4.3-mac | OK | Oct 24 2024 |
Exports:check_categoricalcheck_datescheck_numericclean_categoricalclean_datesclean_numericparse_datesstd_text
Dependencies:clicpp11dplyrfansigenericsgluehmsjanitorlifecyclelubridatemagrittrpillarpkgconfigpurrrqueryrR6rlangsnakecasestringistringrtibbletidyrtidyselecttimechangeutf8vctrswithr