_quarto.yml

project:
  type: book
  output-dir: docs

# execute:
#   enabled: true

jupyter:
        kernelspec:
            display_name: Python 3
            language: python
            name: python3

book:
    page-navigation: true
    title: "Cultural Analytics Open Science Guide"

    author:
        - Federico Pianzola (editor)
        - Paschalis Agapitos (editor)
    #date-meta: today
    # downloads: [pdf]

    reader-mode: true
    page-footer:
        left: Cultural Analytics Open Science Guide
        right: powered by <a href="https://quarto.org/">Quarto</a>.
        background: "#D9E3E4"
    sidebar:
        style: "floating"
        collapse-level: 7
        border: true
        search: true
        background: "#D9E3E4"
        logo: images/dh_gro_logo.png
        pinned: true
        align: center
        tools:
            - icon: person-fill
              text: "Personal account"
              menu:
                  - text: Login to your student account
                    url: https://signon.rug.nl/nidp/app/login?id=100&sid=2&option=credential&sid=2
            - icon: github
              href: https://github.com/GroningenDH/Cultural-Analytics-Open-Science-Guide
              text: "Source Code"
            - icon: house
              href: https://www.rug.nl/research/research-let/expertisecentra/centre-for-digital-humanities/
              text: "Center for Digital Humanities - University of Groningen"
            # - icon: link
            #   text: Useful links
            #   menu:
            #       - text: Introduction to Cultural Analytics & Python by Melanie Walsh
            #         url: https://melaniewalsh.github.io/Intro-Cultural-Analytics/welcome.html
            #       - text: PythonHumanities.com
            #         url: https://pythonhumanities.com/
            #       - text: Introduction to Python for Humanists by Dr. W.J.B. Mattingly
            #         url: https://python-textbook.pythonhumanities.com/intro.html
            #       - text: Python for Data Analysis by Wes McKinney
            #         url: https://wesmckinney.com/book/

    #style: "docked"
    search: true
    cover-image: images/dh_gro_logo.png


    chapters:
        - index.qmd
        - code/00-Datasets.ipynb
        - part: code/version_control.md
          chapters:
            - code/01-The-Command-Line.ipynb
            - code/README_file.md
            - code/vcs-workflow.md
            - code/12-Git-GitHub.ipynb
            - code/set-up-git-and-github.md
            - code/github-flow.md
            - code/vcs-git-commit.md
            - code/vcs-git-compare.md
            - code/vcs-git-branches.md
            - code/vcs-git-merge.md
            - code/vcs-git-interactive.md
            - code/vcs-github.md
            - code/the-clone-wars.md
            - code/vcs-git-summary.md
            - code/vcs-data.md
        - part: code/02-Data-Analysis.ipynb
          chapters:
            - code/03-Pandas-Basics-Part1.ipynb
            - code/03.5-Pandas-Basics-Part1-WORKBOOK.ipynb
            - code/04-Pandas-Basics-Part2.ipynb
            - code/04.5-Pandas-Basics-Part2-WORKBOOK.ipynb
            - code/05-Pandas-Basics-Part3.ipynb
            - code/05.5-Pandas-Basics-Part3-WORKBOOK.ipynb
            - code/06-Pandas-Basics-More-Methods-WORKBOOK.ipynb
            - code/07-Pandas-Merge-Datasets.ipynb
        - part: code/08-Data-Collection.ipynb
          chapters:
            - code/09-User-Ethics-Legal-Concerns.ipynb
            - code/10-Web-Scraping-Part1.ipynb
            - code/10.5-Web-Scraping-Part1-WORKBOOK.ipynb
            - code/11-Web-Scraping-Part2.ipynb
            - code/11.5-Web-Scraping-Part2-Workbook.ipynb
            - code/13-What-Is-API.ipynb
            - code/13.5-APIs-WORKBOOK.ipynb
        - part: "Data collection examples"
          chapters:
            - code/14-Song-Genius.ipynb
            - code/15-Genius-API.ipynb
            - code/16-Collect-Genius-Lyrics.ipynb
            - code/17-Lyrics-Analysis.ipynb
            - code/18-Twitter.ipynb
            - code/19-Twitter-API-Setup.ipynb
            - code/20-Twitter-Data.ipynb
            - code/21-Twitter-Data-Sharing.ipynb
            - code/22-Reddit-Data.ipynb
            - code/Collecting-Data-Group-6.ipynb
        - part: "Exploratory Data Analysis (in-depth)"
          chapters:
            - code/23-Data-Types-and-Quality.ipynb
            - code/24-Changing-Numerical-Variable-Data-Types.ipynb
            - code/25-Changing-Categorical-Variable-Data-Type.ipynb
            - code/26-Data-Information.ipynb
            - code/27-EDA-Summary-Statistics.ipynb
            - code/28-Association-Between-Variables.ipynb

bibliography: references.bib

format:
  html:
    highlight-style: a11y
    theme:
      light: flatly
      dark: darkly
    mainfont: "Helvetica"
    fontsize: "17px"
    linestretch: 1.8
    smooth-scroll: true
    toc-depth: 4
    code-copy: true
    code-overflow: wrap
    code-block-bg: true
    code-tools:
        toggle: true
        source: https://github.com/GroningenDH/Cultural-Analytics-Open-Science-Guide
    toc: true
    page-layout: article

  # pdf:
  #   documentclass: book
  #   lof: true
  #   lot: true
  #   toc: true
  #   geometry:
  #     - top=30mm
  #     - left=20mm
  #     - heightrounded
  #   hyperrefoptions:
  #     - linktoc=all
  #   colorlinks: true
  #   linkcolor: "blue"
  #   biblio-style: apalike
  #   keep-text: true

latex-auto-install: true

freeze: auto

editor: visual