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lupa: Data Profiling and Quality Measurement

Profiles tabular data and measures its quality. Discovers structural patterns, implicit types, mixed date formats and reusable findings about potential data issues; defines quality frameworks with user-declared dimensions, reusable metrics with explicit granularity and typed aggregation; keeps versioned histories and detects structural drift; writes self-contained HyperText Markup Language reports; and produces editable cleaning plans that apply only the actions the user selects, with an audit log. The general model follows Batini and Scannapieco (2016) <doi:10.1007/978-3-319-24106-7>. The package implements version 1.6 of the data quality management framework for digital government of the Uruguayan Agency for Electronic Government and Information and Knowledge Society, AGESIC (2020) <https://www.gub.uy/agencia-gobierno-electronico-sociedad-informacion-conocimiento/comunicacion/publicaciones/marco-trabajo-para-gestion-calidad-datos>; an optional taxonomy of the fifteen characteristics of the standard 25012 of the International Organization for Standardization and the International Electrotechnical Commission, ISO/IEC (2008) <https://www.iso.org/standard/35736.html>; and the four levels and nineteen principles of the national quality assurance framework of the United Nations (2019) <https://unstats.un.org/unsd/methodology/dataquality/>, as adapted for Latin America and the Caribbean by the Statistical Conference of the Americas of the Economic Commission for Latin America and the Caribbean, CEA-CEPAL (2022) <https://repositorio.cepal.org/handle/11362/47464>. AGESIC, CEA and CEPAL are the Spanish acronyms of these institutions.

Version: 0.1.0
Depends: R (≥ 4.2.0)
Imports: cli (≥ 3.0.0), data.table
Suggests: bit64 (≥ 4.6.0), covr, DBI, duckdb, jsonlite, knitr, odbc, rmarkdown, RPostgres, RSQLite, sf, stringdist, stringi, testthat (≥ 3.1.7), tibble, units
Published: 2026-11-10
DOI: 10.32614/CRAN.package.lupa (may not be active yet)
Author: Sebastián Lucas ORCID iD [aut, cre, cph], Robyn Speer [ctb, cph] (byte tables, character categories, regular expressions and repair functions of the encoding-repair engine, translated from ftfy 6.3.1 (Apache-2.0)), Nicholas Tierney [ctb, cph] (missing-value sentinel values from naniar 1.1.0 (MIT))
Maintainer: Sebastián Lucas <sebalucas at gmail.com>
BugReports: https://github.com/sebollin/lupa/issues
License: GPL-3
Copyright: Parts of the encoding-repair engine are translated from ftfy 6.3.1, copyright 2023 Robyn Speer (Apache-2.0); the missing-value sentinels come from naniar 1.1.0, copyright 2016-2018 Nicholas Tierney (MIT). All other code is copyright 2026 Sebastián Lucas. See file inst/COPYRIGHTS.
lupa copyright details
URL: https://github.com/sebollin/lupa, https://sebollin.github.io/lupa/
NeedsCompilation: no
Language: es
Citation: lupa citation info
Materials: README, NEWS
CRAN checks: lupa results

Documentation:

Reference manual: lupa.html , lupa.pdf
Vignettes: 4. Estructura no declarada (source, R code)
3. Explorar columnas con 'analizar()' (source, R code)
2. Leer un perfil (source, R code)
6. Limpiar con un plan (source, R code)
1. Empezar en diez minutos (source, R code)
5. El vacío por diseño (source, R code)

Downloads:

Package source: lupa_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): lupa_0.1.0.tgz, r-oldrel (arm64): lupa_0.1.0.tgz, r-release (x86_64): lupa_0.1.0.tgz, r-oldrel (x86_64): lupa_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=lupa to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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