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).
- Version1.1.1
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- daiquiri citation info
- Last release07/18/2023
Documentation
Team
T. Phuong Quan
Jack Cregan
Show author detailsRolesContributorUniversity of Oxford
Show author detailsRolesCopyright holderNational Institute for Health Research
Show author detailsRolesfndBrad Cannell
Show author detailsRolesReviewer
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports9 packages
- Suggests4 packages