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daiquiri  

Data Quality Reporting for Temporal Datasets
View on CRAN: Click here


Download and install daiquiri package within the R console
Install from CRAN:
install.packages("daiquiri")

Install from Github:
library("remotes")
install_github("cran/daiquiri")

Install by package version:
library("remotes")
install_version("daiquiri", "1.2.1")



Attach the package and use:
library("daiquiri")
Maintained by
T. Phuong Quan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-11
Latest Update: 2025-06-24
Description:
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).
How to cite:
T. Phuong Quan (2022). daiquiri: Data Quality Reporting for Temporal Datasets. R package version 1.2.1, https://cran.r-project.org/web/packages/daiquiri. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.0.1 (2022-11-11 16:30), 1.0.2 (2022-11-21 16:40), 1.0.3 (2022-12-06 12:50), 1.1.1 (2023-07-18 18:50), 1.2.0 (2025-06-24 16:40)
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Complete documentation for daiquiri
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