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: | 1.2.1 |
| Imports: | data.table (≥ 1.12.8),readr (≥ 2.0.0),ggplot2 (≥ 3.1.0),scales (≥ 1.1.0),cowplot (≥ 0.9.3),rmarkdown,reactable (≥0.2.3), utils, stats,xfun (≥ 0.15) |
| Suggests: | covr,knitr,testthat (≥ 3.0.0),codemetar,vdiffr,shiny,diffviewer |
| Published: | 2025-10-27 |
| DOI: | 10.32614/CRAN.package.daiquiri |
| Author: | T. Phuong Quan [aut, cre], Jack Cregan [ctb], University of Oxford [cph], National Institute for Health Research (NIHR) [fnd], Brad Cannell [rev] |
| Maintainer: | T. Phuong Quan <phuongquan567 at outlook.com> |
| 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 |
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