Example data | Step 1: Validate primary keys | Step 2: Validate the join | Step 3: Filter with diagnostics | Step 4: Compare before and after | Step 5: Check data quality | Missing values | String quality | Date coverage | Step 6: Summarize columns | Auditing cleaning operations | Further reading
Package: dtaudit 0.1.1
dtaudit: Audit and Diagnostic Tools for 'data.table' Workflows
Diagnostic tools for auditing data analysis workflows built on 'data.table'. Provides functions to validate join operations, compare data.tables, filter with diagnostic output, summarize data quality, check primary keys and variable relationships, and diagnose string columns. Designed to help analysts understand and document data transformations.
Authors:
dtaudit_0.1.1.tar.gz
dtaudit_0.1.1.zip(r-4.7-any)dtaudit_0.1.1.zip(r-4.6-any)dtaudit_0.1.1.zip(r-4.5-any)
dtaudit_0.1.1.tgz(r-4.6-any)dtaudit_0.1.1.tgz(r-4.5-any)
dtaudit_0.1.1.tar.gz(r-4.7-any)dtaudit_0.1.1.tar.gz(r-4.6-any)
dtaudit_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
dtaudit/json (API)
| # Install 'dtaudit' in R: |
| install.packages('dtaudit', repos = c('https://fpcordeiro.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fpcordeiro/dtaudit/issues
Last updated from:5d00194a55. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 102 | ||
| source / vignettes | OK | 150 | ||
| linux-release | OK | 100 | ||
| macos-release | OK | 109 | ||
| macos-oldrel | OK | 85 | ||
| windows-devel | OK | 74 | ||
| windows-release | OK | 72 | ||
| windows-oldrel | OK | 76 | ||
| wasm-release | OK | 94 |
Exports:audit_cleancheck_date_coveragecheck_months_coverageclean_firm_nameclean_var_namescompare_datatablesdiagnose_nasdiagnose_stringsembed_into_cartesianfilter_dropfilter_keepget_summary_tablesummarize_vectorvalidate_joinvalidate_primary_keysvalidate_var_relationship
Dependencies:data.tablestringi
