RStudio Conference Tweets
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Session 1 - Interop - Ursa Labs and Apache Arrow in 2019
Session 1 - professional - API Development with R and Tensorflow at T-Mobile
Session 1 - professional - API Development with R and Tensorflow at T-Mobile
Session 1 - tidyverse-ext - A guide to modern reproducible data science with R
Session 1 - interop - New Language Features in RStudio 1.2
Session 1 - interop - New Language Features in RStudio 1.2
Session 1 - professional - R in Production
Session 1 - tidyverse-ext - Solving R for Data Science
Session 1 - interop - Databases using R: The latest
Session 1 - professional - RStudio Connect: Past, Present, and Future
Session 1 - tidyverse-ext - Box plots: a case study in debugging and perseverance
Session 1 - interop - Configuration Management Tools for the R Admin
Session 1 - professional - RStudio Package Manager
Session 1 - tidyverse-ext - Working with categorical data in R without losing your mind
Session 2 - applications - R at the ACLU: joining tables to reunite families
Session 2 - distributed - RStudio Job Launcher: Changing where we run R stuff
Session 2 - distributed - RStudio Job Launcher: Changing where we run R stuff
Session 2 - teaching - R4DS online learning community
Session 2 - applications - Building an A/B Testing Analytics System with R + Shiny
Session 2 - distributed - Scaling R with Spark
Session 2 - teaching - Teaching data science with puzzles
Session 2 - applications - The Future's Shiny: Dashboards for Pioneering Genomic Medicine in R
Session 2 - distributed - Introducing mlflow
Session 2 - teaching - Introductory Statistics with R
Session 2 - teaching - Introductory Statistics with R
Session 2 - applications - R Consortium Initiatives in Medicine
Session 2 - distributed - Democratizing R with Plumber APIs
Session 2 - teaching - Teaching R using inclusive pedagogy
Session 3 - modeling - Solving the model representation problem with broom
Session 3 - tidyverse-ext - Melt the clock: tidy time series analysis
Session 3 - workflow - Using R, the Tidyverse, H2O, and Shiny to Reduce Employee Attrition
Session 3 - modeling - Why TensorFlow Eager Execution matters
Session 3 - tidyverse-ext - 3D mapping, plotting, and printing with rayshader
Session 3 - workflow - Empowering A Data Team with RStudio Addins
Session 3 - modeling - parsnip - a tidy model interface
Session 3 - tidyverse-ext - Spatial Data Science in the Tidyverse
Session 3 - tidyverse-ext - Spatial Data Science in the Tidyverse
Session 3 - tidyverse-ext - Spatial Data Science in the Tidyverse
Session 3 - workflow - R/qtl2: rewrite of a very old R package
Session 3 - modeling - Visualizing uncertainty with hypothetical outcomes plots
Session 3 - tidyverse-ext - gganimate Live Cookbook
Session 3 - workflow - Getting it Right: Writing Reliable & Maintainable R Code
Session 4 - org-thinking - Putting Empathy in Action: Building a 'Community of Practice'
Session 4 - programming - pkgman: a fresh approach to package installation
Session 4 - publication - R Markdown: The Bigger Picture
Session 4 - org-thinking - The Resilient R Champion
Session 4 - programming - It depends: A dialog about dependencies
Session 4 - publication - pagedown: Creating Beautiful PDFs with R Markdown + CSS
Session 4 - org-thinking - Cultivating Creativity in Data Work
Session 4 - programming - A preview of Rtools 4.0
Session 4 - publication - Introducing the gt Package
Session 4 - org-thinking - Data Science as a Team Sport
Session 4 - programming - Our Colour of Magic: The open sourcery of fantastic R packages.
Session 4 - publication - The lazy and easily distracted report writer
Session 5 - programming - vctrs: tools for making size and type consistent functions
Session 5 - shiny - Effective use of Shiny modules in app development
Session 5 - teaching - Learning from Eight Years of Data Science Mistakes
Session 5 - programming - Lazy evaluation
Session 5 - shiny - Reactlog 2.0: Debugging the State of Shiny
Session 5 - teaching - How R and RStudio are revolutionizing statistics education
Session 5 - programming - Working with names and expressions in your tidy eval code
Session 5 - shiny - Integrating React.js and Shiny
Session 5 - teaching - The next million R users
Session 5 - programming - Learning and using the tidyverse for historical research
Session 5 - shiny - Introducing ipc for Shiny
Session 5 - teaching - RStudio Cloud for Education
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