# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "daiquiri" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'daiquiri: Data Quality Reporting for Temporal Datasets'
version: 1.1.1.9000
doi: 10.21105/joss.05034
identifiers:
- type: doi
  value: 10.32614/CRAN.package.daiquiri
abstract: 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).
authors:
- family-names: Quan
  given-names: T. Phuong
  email: phuong.quan@ndm.ox.ac.uk
  orcid: https://orcid.org/0000-0001-8566-1817
preferred-citation:
  type: article
  title: 'daiquiri: Data Quality Reporting for Temporal Datasets'
  authors:
  - family-names: Quan
    given-names: T. Phuong
    email: phuong.quan@ndm.ox.ac.uk
    orcid: https://orcid.org/0000-0001-8566-1817
  doi: 10.21105/joss.05034
  year: '2022'
  publisher:
    name: The Open Journal
  volume: '7'
  issue: '80'
  journal: Journal of Open Source Software
  start: '5034'
repository: https://ropensci.r-universe.dev
repository-code: https://github.com/ropensci/daiquiri
commit: 25a7b05a58b1ec58df4c383bdf7bac65c70376d6
url: https://ropensci.github.io/daiquiri/
contact:
- family-names: Quan
  given-names: T. Phuong
  email: phuong.quan@ndm.ox.ac.uk
  orcid: https://orcid.org/0000-0001-8566-1817