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).
Package details |
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Maintainer | |
License | GPL (>= 3) |
Version | 1.1.1.9000 |
URL | https://github.com/ropensci/daiquiri https://ropensci.github.io/daiquiri/ |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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