12-08, 18:00–18:30 (UTC), General Track
Quarto Dashboards make it easy to create interactive dashboards using Python, R, Julia, and Observable:
You can publish a group of related data visualizations as a dashboard, using a wide variety of components including Plotly, Leaflet, Jupyter Widgets, htmlwidgets; static graphics (Matplotlib, Seaborn, ggplot2, etc.); tabular data; value boxes; and text annotations. It's also flexible and easy to specify row and column-based layouts. The components are intelligently re-sized to fill the browser and adapted for display on mobile devices. Finally, you can author using any notebook editor (JupyterLab, etc.) or in plain text markdown with any text editor (VS Code, RStudio, Neovim, etc.).
Dashboards can be deployed as static web pages (no special server required) or you can optionally integrate a backend Shiny Server for enhanced interactivity.
Quarto is an open-source scientific and technical publishing system that allows you to create and publish reproducible, production-quality articles, presentations, websites, blogs, books, and dashboards! With Quarto Dashboards, you can create elegant and production-ready dashboards using a variety of components, including Plotly, Leaflet, Jupyter Widgets, htmlwidgets; static graphics (Matplotlib, Seaborn, ggplot2, etc.); tabular data; value boxes; and text annotations. Additionally, with intelligent resizing of components, your Quarto Dashboards look great on devices of all sizes. And importantly, you can author Quarto Dashboards without leaving the comfort of your “home” – using any notebook editor (JupyterLab, etc.) or in plain text markdown with any text editor (VS Code, RStudio, Neovim, etc.). This talk will demonstrate the flexibility and ease of building Quarto Dashboards using various layout options and deploying them as static web pages (with no special server required) as well as with a Shiny Server on the backend for enhanced interactivity
No previous knowledge expected
Mine Çetinkaya-Rundel is Professor of the Practice at Duke University and Developer Educator at Posit. Mine's work focuses on innovation in statistics and data science pedagogy, with an emphasis on computing, reproducible research, student-centered learning, and open-source education as well as pedagogical approaches for enhancing the retention of women and underrepresented minorities in STEM. Mine works on the OpenIntro project, whose mission is to make educational products that are free, transparent, and lower barriers to education. As part of this project, she co-authored four open-source introductory statistics textbooks. She is also the creator and maintainer of datasciencebox.org, co-author on R for Data Science (2nd Edition), and she teaches the popular Statistics with R MOOC on Coursera.