Data Quality Reporting for Temporal Datasets R package daiquiri version 1.2.1 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). Software 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 T. Phuong Quan <phuongquan567@outlook.com> Comprehensive R Archive Network (CRAN) T. Phuong Quan [aut, cre] (ORCID: <https://orcid.org/0000-0001-8566-1817>), Jack Cregan [ctb], University of Oxford [cph], National Institute for Health Research (NIHR) [fnd], Brad Cannell [rev] GPL (>= 3) 2025-10-27 application/tgz https://CRAN.R-project.org/package=daiquiri doi:10.32614/CRAN.package.daiquiri