CITATION.cff

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title: Introduction to data Visualisation in Python
message: >-
  A repository of teaching material for better research data
  visualisation
type: software
authors:
  - given-names: Maeve
    family-names: Murphy Quinlan
    name-particle: Maeve
    email: mmurphyquinlan@gmail.com
    affiliation: University of Leeds
    orcid: 'https://orcid.org/0000-0003-2958-1008'
identifiers:
  - type: url
    value: 'https://github.com/ARCTraining/swd7-notes/'
    description: Repository URL
  - type: url
    value: 'https://github.com/murphyqm/key-data-vis-requirements'
    description: Repository URL (2)
repository-code: 'https://github.com/ARCTraining/swd7-notes/'
url: 'https://arctraining.github.io/swd7-notes/'
repository: 'https://github.com/murphyqm/key-data-vis-requirements'
abstract: >-
  This course is designed to introduce concepts relating to
  good data visualisation, utilising packages available for
  Python.


  This course should be useful for anyone who works with
  data and needs to visualise results. While the term
  “scientific data visualisation” is used in this
  documentation due to the sources we have collated, the
  subject matter and example datasets should be applicable
  to wider research areas than STEM.
keywords:
  - Python
  - datavis
  - research computing
  - scientific data visualisation
license: MIT