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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: |
1.1.1 |
| 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 |
| Published: |
2023-07-18 |
| 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 <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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=daiquiri
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.
Health stats visible at Monitor.