CRAN/E | daiquiri

daiquiri

Data Quality Reporting for Temporal Datasets

Installation

About

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).

Citation daiquiri citation info
github.com/ropensci/daiquiri
ropensci.github.io/daiquiri/
Bug report File report

Key Metrics

Version 1.1.1
Published 2023-07-18 286 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks daiquiri results

Downloads

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Maintainer

Maintainer

T. Phuong Quan

phuong.quan@ndm.ox.ac.uk

Authors

T. Phuong Quan

aut / cre

Jack Cregan

ctb

University of Oxford

cph

National Institute for Health Research

fnd

(NIHR)

Brad Cannell

rev

Material

README
NEWS
Reference manual
Package source

Vignettes

Walkthrough for the daiquiri package

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

daiquiri archive

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