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Shiny Dev Center gets a shiny new update

portrait of Mine Çetinkaya-Rundel outside in front of grass
Written by Mine Çetinkaya-Rundel
2017-08-29

I am excited to announce the redesign and reorganization of shiny.rstudio.com, also known as the Shiny Dev Center. The Shiny Dev Center is the place to go to learn about all things Shiny.

Shiny Dev Center

The goal of this refresh is to provide a clear learning path for those who are just starting off with developing Shiny apps as well as to make advanced Shiny topics easily accessible to those building large and complex apps. The articles overview that we designed to help navigate the wealth of information on the Shiny Dev Center aims to achieve this goal.

Articles overview

Other highlights of the refresh include:

  • A brand new look!
  • New articles
  • Updated articles with modern Shiny code examples
  • Explicit linking, where relevant, to other RStudio resources like webinars, support docs, etc.
  • A prominent link to our ever growing Shiny User Showcase
  • A guide for contributing to Shiny (inspired by the Tidyverse contribute guide)

Stay tuned for more updates to the Shiny Dev Center in the near future!

portrait of Mine Çetinkaya-Rundel outside in front of grass

Mine Çetinkaya-Rundel

Data science educator at Duke University and Posit
Dr. Mine Çetinkaya-Rundel, a leading voice in data science education and a passionate advocate for making data and statistics more accessible, engaging, and reproducible. Mine is Professor of the Practice at Duke University in the Department of Statistical Science and Senior Developer Advocate at Posit, PBC, where she’s part of the tidyverse team.
Her work has transformed how data science is taught, emphasizing openness, reproducibility, and hands-on learning. She’s a co-author of influential open textbooks like R for Data Science and OpenIntro Statistics, which have guided countless learners on their journey into statistics and data science.
Mine’s contributions to education and open science have earned her several accolades, including the Waller Education Award by the American Statistical Association, the Robert V. Hogg Award by the Mathematical Association of America, and the Pickard Award by Harvard University's Department of Statistics, honoring her innovative teaching and dedication to expanding access to statistics and data science education.
Through her teaching, open-source work, and advocacy, Mine continues to inspire new generations of data scientists to not only analyze data—but to do so with curiosity, creativity, and purpose.

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