Crandore Hub

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).

Versions across snapshots

VersionRepositoryFileSize
1.2.1 rolling linux/jammy R-4.5 daiquiri_1.2.1.tar.gz 984.0 KiB
1.2.1 rolling linux/noble R-4.5 daiquiri_1.2.1.tar.gz 983.7 KiB
1.2.1 rolling source/ R- daiquiri_1.2.1.tar.gz 1001.2 KiB
1.2.1 latest linux/jammy R-4.5 daiquiri_1.2.1.tar.gz 984.0 KiB
1.2.1 latest linux/noble R-4.5 daiquiri_1.2.1.tar.gz 983.7 KiB
1.2.1 latest source/ R- daiquiri_1.2.1.tar.gz 1001.2 KiB
1.2.1 2026-04-26 source/ R- daiquiri_1.2.1.tar.gz 1001.2 KiB
1.2.1 2026-04-23 source/ R- daiquiri_1.2.1.tar.gz 1001.2 KiB
1.2.1 2026-04-09 windows/windows R-4.5 daiquiri_1.2.1.zip 985.6 KiB
1.1.1 2025-04-20 source/ R- daiquiri_1.1.1.tar.gz 934.4 KiB

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