Offical storage of material and links can be found here: rstudio-conf.
Links to slides to talks at the 2020 rstudio::conf
Pull requests welcome! Or add an issue, or tweet @Emil_Hvitfeldt.
All the workshop material is located in the Github Organzation rstudio::conf 2020.
- RStudio Instructor Training, Greg Wilson gvwilson.
- Modern Geospatial Data Analysis, Zev Ross zevross.
- RStudio Team system administration, Andrie de Vries revoandrie.
- R Markdown and Interactive Dashboards, Carl Howe cdhowe and Yihui Xie xieyihui.
- Introduction to Data Science in the Tidyverse, Amelia McNamara AmeliaMN and Hadley Wickham hadleywickham.
- My Organization's First R Package, Rich Iannone riannone and Malcolm Barrett malco_barrett.
- Deep Learning with Keras and TensorFlow in R, Bradley Boehmke bradleyboehmke.
- Shiny From Start To Finish, Danny Kaplan.
- Introduction to Machine Learning with the Tidyverse, Alison Hill apreshill and Garrett Grolemund StatGarrett.
- JavaScript for Shiny Users, Garrick Aden-Buie grrrck.
- R for Excel Users, Julia Lowndes juliesquid and Allison Horst allison_horst.
- Building Tidy Tools, Charlotte Wickham CVWickham and Hadley Wickham hadleywickham.
- A Practical Introduction to Data Visualization with ggplot2, Kieran Healy kjhealy.
- Text Mining with Tidy Data Principles, Julia Silge juliasilge.
- Tidy Time Series and Forecasting in R, Rob J Hyndman robjhyndman.
- Applied Machine Learning, Max Kuhn topepos and Davis Vaughan dvaughan32.
- What They Forgot to Teach You about R, Kara Woo kara_woo, Jenny Bryan JennyBryan, and Jim Hester jimhester_.
- Designing the Data Science Classroom, Mine Γetinkaya-Runde minebocek.
- Big Data with R, Edgar Ruiz theotheredgar and James Blair Blair09M.
- Welcome to rstudio::conf
π: Open Source Software For Data Science
π: JJ Allaire @fly_upside_down
π:
π: revealjs
π₯:
π: Data, Visualization, And Designing With AI
π: Fernanda Viegas, Martin Wattenberg
π: People + AI Guidebook
π:
π₯:
π: Case Studies In Customer Succes
π: Katie Masiello
π:
π:
π₯:
π: How Vibrant Emotional Health Connected Siloed Data Sources And Streamlined Reporting Using R
π: Sean Murphy
π:
π:
π₯:
π: Building A New Data Science Pipeline For The FT With RStudio Connect
π: George Kastrinakis
π:
π:
π₯:
π: How To Win An AI Hackathon, Without Using AI
π: Colin Gillespie csgillespie.
π:
π:
π₯:
π: Meet You Where You R
π: Lauren Chadwick
π:
π:
π₯:
π: Data Science Education In 2022
π: Carl Howe cdhowe, Greg Wilson gvwilson
π: Github
π: pdf
π₯:
π: Data Science Education As An Economic And Public Health Intervention In East Baltimore
π: Jeff Leek jtleek
π:
π:
π₯:
π: Of Teacups, Giraffes, & R Markdown
π: Desiree De Leon dcossyle
π: web
π:
π₯:
π: Deploying End-To-End Data Science With Shiny, Plumber, And Pins
π: Alex Gold alexkgold
π:
π:
π₯:
π: Weβre Hitting R A Million Times A Day So We Made A Talk About It
π: Heather Nolis heatherklus, Jacqueline Nolis skyetetra
π: Put R in Prod
π: pdf
π₯:
π: Growth Hacking With R - Product Analytics At Scale Using R And RStudio
π: Andrew Mangano
π:
π:
π₯:
π: Practical Plumber Patterns
π: James Blair
π: blairj09/ppp
π: pdf
π₯:
π: Simplified Data Quality Monitoring Of Dynamic Longitudinal Data: A Functional Programming Approach
π: Jacqueline Gutman dynamicdataduo
π:
π: pdf
π₯:
π: Vctrs: Creating Custom Vector Classes With The Vctrs Package
π: Jesse Sadler vivalosburros
π:
π: pdf
π₯:
π: Asynchronous Programming In R
π: Winston Chang winston_chang
π:
π:
π₯:
π: Azure Pipelines And GitHub Actions
π: Jim Hester jimhester_
π:
π: speakerdeck
π₯:
π: If You Build It, They Will Come...But Then What? Facilitating Communities Of Practice In R
π: Kate Hertweck k8hert
π:
π: slideshare
π₯:
π: Embracing R In The Geospatial Community
π: Tina Cormier TinaACormier
π:
π: pdf
π₯:
π: The Development Of "Datos" Package For The R4DS Spanish Translation
π: Riva Quiroga rivaquiroga
π:
π:
π₯:
π: R: Then And Now
π: Jared Lander jaredlander
π:
π:
π₯:
π: 15 Years Of R In Quantitative Finance
π: Brandon Farr
π:
π:
π₯:
π: Deep Learning Extraction For Counterparty Risk Signals From A Corpus Of Millions Of Documents
π: Moody Hadi
π:
π:
π₯:
π: Rpanda Trading Simulation - From An Idea To A Multi-User Shiny App
π: Nima Safaian
π:
π:
π₯:
π: The Good, The Bad And The Ugly: What I Learned While Consulting Across The Business As A Data Scientist
π: Ben Barnard
π:
π:
π₯:
π: Accelerating Analytics With Apache Arrow
π: Neal Richardson enpiar
π:
π: xaringan
π₯:
π: Updates On Spark, MLflow, And The Broader ML Ecosystem
π: Javier Luraschi javierluraschi
π:
π: rpubs
π₯:
π: What's New In TensorFlow For R
π: Daniel Falbel dfalbel
π:
π: xaringan
π₯:
π: Deep Learning With R
π: Paige Bailey DynamicWebPaige
π:
π:
π₯:
π: Production-Grade Shiny Apps With Golem
π: Colin Fay _ColinFay
π: GitHub | golem: A Framework for Buildilng Robust Sniny Apps
π: speakerdeck
π₯:
π: Making The Shiny Contest
π: Mine Γetinkaya-Rundel minebocek
π:
π:
π₯:
π: Styling Shiny Apps With Sass And Bootstrap 4
π: Joe Cheng jcheng
π:
π: speakerdeck
π₯:
π: Reproducible Shiny Apps With Shinymeta
π: Carson Sievert cpsievert
π: keynote
π: pdf
π₯:
π: Journalism With RStudio, R, And The Tidyverse
π: Larry Fenn
π:
π:
π₯:
π: Putting The Fun In Functional Data: A Tidy Pipeline To Identify Routes In NFL Tracking Data
π: Dani Chu chuurveg
π: project
π: google slides
π₯:
π: R + Tidyverse In Sports
π: Namita Nandakumar
π:
π: google slides
π₯:
π: Making Better Spaghetti (Plots): Exploring The Individuals In Longitudinal Data With The Brolgar Pac
π: Nicholas Tierney nj_tierney
π: github.com/njtierney/rstudioconf20
π: xaringan
π₯:
π: Flipbooks
π: Evangeline Reynolds
π:
π:
π₯:
π: Learning R With Humorous Side Projects
π: Ryan Timpe ryantimpe
π: http://www.ryantimpe.com/post/rstudio/
π: pdf
π₯:
π: Toward A Grammar Of Psychological Experiments
π: Danielle Navarro djnavarro
π:
π: slides.com
π₯:
π: R For Graphical Clinical Trial Reporting
π: Frank Harrell f2harrell
π: https://www.fharrell.com/talk/rstudio20/
π: ioslides
π₯:
π: Approaches To Assay Processing Package Validation
π: Ellis Hughes ellis_hughes
π: thebioengineer/validation
π: sidescroller
π₯:
π: Building A Native IPad Dashboard Using Plumber And RStudio Connect In Pharma
π: Aymen Waqar
π:
π:
π₯:
π: FlatironKitchen: How We Overhauled A Frankensteinian SQL Workflow With The Tidyverse
π: Nathaniel Phillips
π:
π:
π₯:
π: Using R To Create Reproducible Engineering Test Reports
π: Ana Alyeska Santos, Braulio Cuandon
π:
π:
π₯:
π: Getting Things Logged
π: Gergely Daroczi daroczig
π: daroczig/logger
π: reveal
π₯:
π: Technical Debt Is A Social Problem
π: Gordon Shotwell gshotwell
π:
π: xaringan
π₯:
π: Parallel Computing With R Using Foreach, Future, And Other Packages
π: Bryan Lewis
π: https://github.com/bwlewis/writing_foreach_adapters
π:
π₯:
π: Future: Simple Async, Parallel & Distributed Processing In R - What's Next?
π: Henrik Bengtsson henrikbengtsson
π: https://www.jottr.org/2020/02/01/future-rstudioconf2020-slides/
π: google slides
π₯:
π: Object Of Type βClosureβ Is Not Subsettable
π: Jenny Bryan JennyBryan
π: jennybc/debugging
π: speakerdeck pdf
π₯:
π: Branding And Packaging Reports With R Markdown
π: Jake Thompson
π: wjakethompson
π: pdf
π₯:
π: Donβt Repeat Yourself, Talk To Yourself! Repeated Reporting In The R Universe.
π: Sharla Gelfand sharlagelfand
π:
π: xaringan
π₯:
π: How Rmarkdown Changed My Life
π: Rob Hyndman robjhyndman
π:
π: pdf
π₯:
π: One R Markdown Document, Fourteen Demos
π: Yihui Xie xieyihui
π: blog post
π: R script
π₯:
π: Building A Medical Device With R
π: Ron Keizer ronpirana
π:
π:
π₯:
π: Development Of A Web-Based Clinical Decision Support Application For Platelet Transfusion Management
π: Justin Juskewitch
π:
π:
π₯:
π: Forecasting Platelet Blood Bag Demand To Reduce Inventory Wastage At The Stanford Blood Center
π: Qian Zhao
π:
π:
π₯:
π: Shiny New Things: Using R To Bridge The Gap In EMR Reporting
π: Brendan Graham
π:
π:
π₯:
π: The Glamour Of Graphics
π: William Chase W_R_Chase
π:
π: Keynote
π₯:
π: 3D Ggplots With Rayshader
π: Tyler Morgan-Wall tylermorganwall
π:
π: https://tylermw.com/presentations/rstudio2020/assets/player/KeynoteDHTMLPlayer.html
π₯:
π: Designing Effective Visualizations
π: Miriah Meyer miriah_meyer
π:
π:
π₯:
π: Tidyverse 2019-2020
π: Hadley Wickham hadleywickham
π:
π:
π₯:
π: RMarkdown Driven Development
π: Emily Riederer EmilyRiederer
π: https://emilyriederer.netlify.com/post/rmddd-tech-appendix/
π: slideshare
π₯:
π: Renv: Project Environments To R
π: Kevin Ushey kevin_ushey
π: https://rstudio.github.io/renv/
π: xaringan
π₯:
π: RStudio 1.3 Sneak Preview
π: Jonathan McPherson
π:
π: speakerdeck
π₯:
π: Using Jupyter With RStudio Server Pro
π: Karl Feinauer
π:
π:
π₯:
π: Best Practices For Programming With Ggplot2
π: Dewey Dunnington paleolimbot
π: paleolimbot/rstudioconf2020
π: xaringan
π₯:
π: Spruce Up Your Ggplot2 Visualizations With Formatted Text
π: Claus Wilke ClausWilke
π:
π: slideshare
π₯:
π: The Little Package That Could: Taking Visualizations To The Next Level With The Scales Package
π: Dana Seidel dpseidel
π:
π: xaringan
π₯:
π: Extending Your Ability To Extend Ggplot2
π: Thomas Lin Pedersen thomasp85
π:
π: keynote
π₯:
π: MLOps For R With Azure Machine Learning
π: David Smith revodavid
π: revodavid/mlops-r
π: pdf
π₯:
π: Totally Tidy Tuning Techniques
π: Max Kuhn topepos
π: Github
π:
π₯:
π: Neural Networks For Longitudinal Data Analysis
π: Sydeaka Watson
π:
π:
π₯:
π: Stochastic Block Models With R: Statistically Rigerous Clusting With Rigorous Code
π: Nick Strayer NicholasStrayer
π:
π: xaringan
π₯:
π: Small Team, Big Value: Using R To Design Visualizations
π: Ian Lyttle ijlyttle
π:
π: speakerdeck
π₯:
π: UnicoRns Are Real
π: Travis Gerke travisgerke
π: tgerke/unicoRns-are-real
π: xaringan
π₯:
π: Data Science In Meatspace
π: Ben-Joaquin Gouverneur
π:
π:
π₯:
π: Value In Data Science Beyond Models In Production
π: Eduardo AriΓ±o De La Rubia
π:
π:
π₯:
π: Auto-Magic Package Development: Building An R API For Building Vega-Lite Specs
π: Alicia Schep AliciaSchep
π:
π: google docs
π₯:
π: Bridging The Gap Between SQL And R: Introducing Queryparser And Tidyquery
π: Ian Cook ianmcook
π: https://github.com/ianmcook/rstudioconf2020
π: pdf
π₯:
π: List-Columns In Data.Table: Reducing The Cognitive And Computational Burden When Working With Comple
π: Tyson Barrett healthandstats
π:
π: pdf
π₯:
π: Advances In Tidyeval
π: Lionel Henry _lionelhenry
π:
π: speakerdeck
π₯:
π: Livecode
: Broadcast Your Live Coding Sessions From And To RStudio
π: Colin Rundel rundel
π: rundel/Presentations
π: xaringan
π₯:
π: A High School Studentβs Journey To Bring R Into The Classroom.
π: Jay Campanell
π:
π:
π₯:
π: Becoming An R Blogger
π: Rebecca Barter rlbarter
π: rlbarter/rstudio-conf-2020-blogger-slides
π: pdf
π₯:
π: Data Science For Software Engineers: Busting Software Myths With R
π: Yim Register yimregister
π:
π:
π₯:
π: Learn To Teach, For Goodness Sake.
π: Mike K Smith MikeKSmith
π: MikeKSmith/RStudioConf2020
π: pdf
π₯:
π: Learning By Teaching: Mentoring At The R4DS Online Learning Community
π: Jon Harmon JonTheGeek
π:
π: bit.ly/r4dsrstudio2020
π₯:
π: Every Voice Matters: An Analysis Of @WeAreRLadies
π: Katherine Simeon
π: katherinesimeon/WeAReRLadies-text-data
π:
π₯:
π: Lessons About R I Learned From My Cat
π: Amanda Gadrow ajmcoqui
π:
π:
π₯:
π: TidyBlocks: Using The Language Of The Tidyverse In A Blocks-Based Interface
π: Maya Gans Mayacelium
π:
π: vimeo
π₯:
π: Making A Tidy Dress
π: Amelia McNamara AmeliaMN
π: http://amelia.mn/MakingATidyDress.pdf
π:
π₯:
π: Datasets In Reproducible Research With 'Pins'
π: Javier Luraschi javierluraschi
π:
π: rpubs
π₯:
π: Course Material Creation In The R Ecosystem
π: Kelly Bodwin KellyBodwin
π:
π:
π₯:
π: Mexican Electoral Quick Count Night With R
π: Maria Ortiz Mancera
π:
π:
π₯:
π: Rproject Templates To Automate And Standardize Your Workflow
π: Caroline Ledbetter
π: netlify
π:
π₯:
π: Sound Annotation With Shiny And Wavesurfer
::speaker::: Athos Damiani athos_damiani
π: athospd.github.io/rstudio-conf-2020
π:
π₯:
π: Peer Review In Data Science Courses
::speaker::: Therese Anders thereanders
π:
π:
π₯:
π: The Five Principles Of Data Science Education
::speaker::: Hunter Glanz hglanz
π:
π:
π₯:
:star_2: Sliding Windows and Calendars
::speaker:: Davis Vaughan dvaughan32
π: davisvaughan.github.io
π:
π₯:
π: NSSD Episode 100
::speaker::: Roger Peng rdpeng, Hilary Parker hspter
π: NSSD: 100 - Live from RStudio Conf 2020
π:
π₯:
π: Using R to understand, analyze, and communicate tidal wetland data
π: Kim Cressman swmpkim
π: swmpkim/rstudioconf2020_eposter
π:
π: Reaping the benefits of the Shiny community (and how you can help!)
π: Eric Nantz theRcast
π: shinydevseries.com
π: rpodcast.shinyapps.io/highlights-shiny
π: Integration testing: A new way to test reactive behavior in {shiny}
applications and modules
π: Alan Dipert alandipert
π:
π: pdf