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Achievement: StarstruckAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

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kiegan/README.md

Hi there 👋

I'm Kiegan!

I am a Senior Statistician in the Statistics and Data Science Department at NORC at the University of Chicago. I am passionate about using data to better the world around me. Data-driven decision making can have a hugely positive impact on any organization, and it is even more important when those decisions can impact policy, health and well-being, and social good. I earned my Ph.D. in Statistics from Iowa State University in 2020, working with Dr. Heike Hofmann and Dr. Ulrike Genschel. My primary research topic was computational and statistical reproducibility of data science pipelines. You can learn more about my research interests and see my portfolio on my website.

  • 🌱 I’m currently learning interactive data visualization using D3.js and CSS
  • 💬 Ask me about R, data visualization, Shiny, RMarkdown, and reproducible research in R!
  • 😄 Pronouns: she/her/hers

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  1. wait-thats-shiny wait-thats-shiny Public

    Sample Shiny application code from "Wait, that's Shiny?", a presentation at posit::conf(2024).

    R 28 2

  2. kiegan.github.io kiegan.github.io Public

    Repository with content for my personal website.

    HTML 1

  3. testing-charts-jds testing-charts-jds Public

    Materials for Journal of Data Science submission on Testing Charts work.

    TeX

  4. talks talks Public

    Repository of talks given

    HTML

  5. manager manager Public

    An R package for package dependency management and tracking

    R 3

  6. understanding-patterns-data-graphics understanding-patterns-data-graphics Public

    A repository with data, code, and materials for Measuring Real-World Understanding of Patterns in Data Graphics, a manuscript submitted to the IEEE Special Issue on Inclusive Data Experiences.

    TeX