python-interactive-data-visualizations/CITATION.cff at main · carpentries-incubator/python-interactive-data-visualizations · GitHub

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cff-version: 1.0.0
title: Interactive Data Visualizations in Python
message: >-
  This workshop lesson is an introduction to making
  interactive data visualizations in Python. Learners
  will create a new environment using conda, wrangle
  data into the proper format using pandas library,
  create visualizations using the Plotly Python library,
  and display these visualizations and create widgets
  using Streamlit.
type: dataset
authors:
  - given-names: Jenna
    family-names: Jordan
    orcid: 'https://orcid.org/0000-0001-9246-5355'
  - given-names: Sarah LR
    family-names: Stevens
    email: sarah.stevens@wisc.edu
    affiliation: University of Wisconsin-Madison
    orcid: 'https://orcid.org/0000-0002-7040-548X'
  - given-names: Laurence
    family-names: Brown
    orcid: 'https://orcid.org/0000-0001-8116-4100'
repository-code: >-
  https://github.com/carpentries-incubator/python-interactive-data-visualizations
url: >-
  https://carpentries-incubator.github.io/python-interactive-data-visualizations/
abstract: >-
  This workshop lesson is an introduction to making
  interactive data visualizations in Python. Learners
  will create a new environment using conda, wrangle
  data into the proper format using pandas library,
  create visualizations using the Plotly Python library,
  and display these visualizations and create widgets
  using Streamlit.
keywords:
  - python
  - data visualizations
  - dataviz
  - lesson
  - Carpentries
  - Carpentries Incubator
license: CC-BY-4.0