daiquiri: Data Quality Reporting for Temporal Datasets

Generate reports that enable quick visual review of temporal shifts in record-level data. Time series plots showing aggregated values are automatically created for each data field (column) depending on its contents (e.g. min/max/mean values for numeric data, no. of distinct values for categorical data), as well as overviews for missing values, non-conformant values, and duplicated rows. The resulting reports are shareable and can contribute to forming a transparent record of the entire analysis process. It is designed with Electronic Health Records in mind, but can be used for any type of record-level temporal data (i.e. tabular data where each row represents a single "event", one column contains the "event date", and other columns contain any associated values for the event).

Version: 1.0.3
Imports: data.table (≥ 1.12.8), readr (≥ 1.3.1), ggplot2 (≥ 3.1.0), scales (≥ 1.1.0), cowplot (≥ 0.9.3), rmarkdown, reactable (≥ 0.2.3), utils, stats
Suggests: covr, knitr, testthat (≥ 3.0.0), codemetar
Published: 2022-12-06
Author: T. Phuong Quan ORCID iD [aut, cre], Jack Cregan [ctb], University of Oxford [cph], National Institute for Health Research (NIHR) [fnd], Brad Cannell [rev]
Maintainer: T. Phuong Quan <phuong.quan at ndm.ox.ac.uk>
BugReports: https://github.com/ropensci/daiquiri/issues
License: GPL (≥ 3)
URL: https://github.com/ropensci/daiquiri, https://ropensci.github.io/daiquiri/
NeedsCompilation: no
Citation: daiquiri citation info
Materials: README NEWS
CRAN checks: daiquiri results


Reference manual: daiquiri.pdf
Vignettes: Walkthrough for the daiquiri package


Package source: daiquiri_1.0.3.tar.gz
Windows binaries: r-devel: daiquiri_1.0.2.zip, r-release: daiquiri_1.0.2.zip, r-oldrel: daiquiri_1.0.2.zip
macOS binaries: r-release (arm64): daiquiri_1.0.2.tgz, r-oldrel (arm64): daiquiri_1.0.2.tgz, r-release (x86_64): daiquiri_1.0.2.tgz, r-oldrel (x86_64): daiquiri_1.0.2.tgz
Old sources: daiquiri archive


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