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:
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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.