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Session Overview |
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| 7:00am - 11:59pm |
Tutorials - Track 1 Tutorial Data visualization using ggplot2 and its extensions 9:00am - 9:15am Breaks Break 9:15am - 11:45am Tutorial Additive Bayesian Networks Modeling 11:45am - 12:00pm Breaks Break 12:00pm - 2:00pm Tutorial Quick high quality maps with R 2:00pm - 2:15pm Breaks Break 2:15pm - 4:15pm Tutorial Spatial Statistics for huge datasets and best practices 4:15pm - 4:30pm Breaks Break 4:30pm - 7:30pm Tutorial Contributing to R 7:30pm - 7:45pm Breaks Break 7:45pm - 10:15pm Tutorial Graphing multivariate categorical data: The how, what and why of mosaic plots and alluvial diagrams |
Tutorials - Track 2 Tutorial GET better at testing your R package! 10:00am - 10:15am Breaks Break 10:15am - 2:15pm Tutorial Systematic data validation with the validate package 2:15pm - 2:30pm Breaks Break 2:30pm - 6:00pm Tutorial Production-grade Shiny Apps with {golem} - French 6:00pm - 6:15pm Breaks Break 6:15pm - 7:15pm Tutorial Penguins in a Box: Interactive Data Science Tutorial with Penguins. 7:15pm - 8:00pm Breaks Break 8:00pm - 11:00pm Tutorial Professional, Polished, Presentable: Making Great Slides with xaringan 11:00pm - 11:15pm Breaks Break |
| Tutorials - Track 3 Tutorial Introduction to Responsible Machine Learning 10:00am - 10:15am Breaks Break 10:15am - 2:15pm Tutorial Entry level R maps from African data - French - English 2:15pm - 2:30pm Breaks Break 2:30pm - 5:30pm Tutorial How to build a package with "Rmd First" method 5:30pm - 5:45pm Breaks Break 5:45pm - 8:30pm Tutorial Bayesian modeling in R with {rstanarm} - Spanish 8:30pm - 8:45pm Breaks Break 8:45pm - 11:45pm Tutorial Introduction to TileDB for R |
Tutorials - Track 4 Tutorial Structure your app: introduction to Shiny modules 9:00am - 10:30am Breaks Break 10:30am - 1:30pm Tutorial Getting started with torch (in French) 1:30pm - 1:45pm Breaks Break 1:45pm - 2:45pm Tutorial Pinguinos en caja : tutorial interactivo de ciencia de datos con pinguinos - Español. 2:45pm - 3:00pm Breaks Break 3:00pm - 6:00pm Tutorial Data Pipelines at scale with R and Kubernetes - Spanish 6:00pm - 6:15pm Breaks Break 6:15pm - 9:15pm Tutorial Datos espaciales a lo tidy - Español |
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