Links to slides from rstudio::conf 2020
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.
Workshops Material
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 Çetinkaya-Runde minebocek.
- Big Data with R, Edgar Ruiz theotheredgar and James Blair Blair09M.
Wednesday 2019-01-29
Welcome
- Welcome to rstudio::conf
9:00 Keynote
🌟: Open Source Software For Data Science
🔈: JJ Allaire @fly_upside_down
🔗:
📜: revealjs
🎥:
10:00 Keynote
🌟: Data, Visualization, And Designing With AI
🔈: Fernanda Viegas, Martin Wattenberg
🔗: People + AI Guidebook
📜:
🎥:
11:30 Session 1, Track 1: Case Study
🌟: Case Studies In Customer Succes
🔈: Katie Masiello
🔗:
📜:
🎥:
🌟: How Vibrant Emotional Health Connected Siloed Data Sources And Streamlined Reporting Using R
🔈: Sean Murphy
🔗:
📜:
🎥:
🌟: Building A New Data Science Pipeline For The FT With RStudio Connect
🔈: George Kastrinakis
🔗:
📜:
🎥:
🌟: How To Win An AI Hackathon, Without Using AI
🔈: Colin Gillespie csgillespie.
🔗:
📜:
🎥:
11:30 Session 1, Track 2: Education
🌟: Meet You Where You R
🔈: Lauren Chadwick
🔗:
📜:
🎥:
🌟: Data Science Education In 2022
🔈: Carl Howe cdhowe, Greg Wilson gvwilson
🔗: Github
📜: pdf
🎥:
🌟: Data Science Education As An Economic And Public Health Intervention In East Baltimore
🔈: Jeff Leek jtleek
🔗:
📜:
🎥:
🌟: Of Teacups, Giraffes, & R Markdown
🔈: Desiree De Leon dcossyle
🔗: web
📜:
🎥:
11:30 Session 1, Track 3: Production
🌟: Deploying End-To-End Data Science With Shiny, Plumber, And Pins
🔈: Alex Gold alexkgold
🔗:
📜:
🎥:
🌟: We’re Hitting R A Million Times A Day So We Made A Talk About It
🔈: Heather Nolis heatherklus, Jacqueline Nolis skyetetra
🔗: Put R in Prod
📜: pdf
🎥:
🌟: Growth Hacking With R - Product Analytics At Scale Using R And RStudio
🔈: Andrew Mangano
🔗:
📜:
🎥:
🌟: Practical Plumber Patterns
🔈: James Blair
🔗: blairj09/ppp
📜: pdf
🎥:
11:30 Session 1, Track 4: Programming
🌟: Simplified Data Quality Monitoring Of Dynamic Longitudinal Data: A Functional Programming Approach
🔈: Jacqueline Gutman dynamicdataduo
🔗:
📜: pdf
🎥:
🌟: Vctrs: Creating Custom Vector Classes With The Vctrs Package
🔈: Jesse Sadler vivalosburros
🔗:
📜: pdf
🎥:
🌟: Asynchronous Programming In R
🔈: Winston Chang winston_chang
🔗:
📜:
🎥:
🌟: Azure Pipelines And GitHub Actions
🔈: Jim Hester jimhester_
🔗:
📜: speakerdeck
🎥:
14:15 Session 2, Track 1: Community
🌟: If You Build It, They Will Come...But Then What? Facilitating Communities Of Practice In R
🔈: Kate Hertweck k8hert
🔗:
📜: slideshare
🎥:
🌟: Embracing R In The Geospatial Community
🔈: Tina Cormier TinaACormier
🔗:
📜: pdf
🎥:
🌟: The Development Of "Datos" Package For The R4DS Spanish Translation
🔈: Riva Quiroga rivaquiroga
🔗:
📜:
🎥:
🌟: R: Then And Now
🔈: Jared Lander jaredlander
🔗:
📜:
🎥:
14:15 Session 2, Track 2: Finance
🌟: 15 Years Of R In Quantitative Finance
🔈: Brandon Farr
🔗:
📜:
🎥:
🌟: Deep Learning Extraction For Counterparty Risk Signals From A Corpus Of Millions Of Documents
🔈: Moody Hadi
🔗:
📜:
🎥:
🌟: Rpanda Trading Simulation - From An Idea To A Multi-User Shiny App
🔈: Nima Safaian
🔗:
📜:
🎥:
🌟: The Good, The Bad And The Ugly: What I Learned While Consulting Across The Business As A Data Scientist
🔈: Ben Barnard
🔗:
📜:
🎥:
14:15 Session 2, Track 3: Interface
🌟: Accelerating Analytics With Apache Arrow
🔈: Neal Richardson enpiar
🔗:
📜: xaringan
🎥:
🌟: Updates On Spark, MLflow, And The Broader ML Ecosystem
🔈: Javier Luraschi javierluraschi
🔗:
📜: rpubs
🎥:
🌟: What's New In TensorFlow For R
🔈: Daniel Falbel dfalbel
🔗:
📜: xaringan
🎥:
🌟: Deep Learning With R
🔈: Paige Bailey DynamicWebPaige
🔗:
📜:
🎥:
14:15 Session 2, Track 4: Shiny
🌟: Production-Grade Shiny Apps With Golem
🔈: Colin Fay _ColinFay
🔗: GitHub | golem: A Framework for Buildilng Robust Sniny Apps
📜: speakerdeck
🎥:
🌟: Making The Shiny Contest
🔈: Mine Çetinkaya-Rundel minebocek
🔗:
📜:
🎥:
🌟: Styling Shiny Apps With Sass And Bootstrap 4
🔈: Joe Cheng jcheng
🔗:
📜: speakerdeck
🎥:
🌟: Reproducible Shiny Apps With Shinymeta
🔈: Carson Sievert cpsievert
🔗: keynote
📜: pdf
🎥:
16:00 Session 3, Track 1: Case Study
🌟: Journalism With RStudio, R, And The Tidyverse
🔈: Larry Fenn
🔗:
📜:
🎥:
🌟: Putting The Fun In Functional Data: A Tidy Pipeline To Identify Routes In NFL Tracking Data
🔈: Dani Chu chuurveg
🔗: project
📜: google slides
🎥:
🌟: R + Tidyverse In Sports
🔈: Namita Nandakumar
🔗:
📜: google slides
🎥:
🌟: Making Better Spaghetti (Plots): Exploring The Individuals In Longitudinal Data With The Brolgar Pac
🔈: Nicholas Tierney nj_tierney
🔗: github.com/njtierney/rstudioconf20
📜: xaringan
🎥:
16:00 Session 3, Track 2: Learning And Using R
🌟: Flipbooks
🔈: Evangeline Reynolds
🔗:
📜:
🎥:
🌟: Learning R With Humorous Side Projects
🔈: Ryan Timpe ryantimpe
🔗: http://www.ryantimpe.com/post/rstudio/
📜: pdf
🎥:
🌟: Toward A Grammar Of Psychological Experiments
🔈: Danielle Navarro djnavarro
🔗:
📜: slides.com
🎥:
🌟: R For Graphical Clinical Trial Reporting
🔈: Frank Harrell f2harrell
🔗: https://www.fharrell.com/talk/rstudio20/
📜: ioslides
🎥:
16:00 Session 3, Track 3: Pharma
🌟: Approaches To Assay Processing Package Validation
🔈: Ellis Hughes ellis_hughes
🔗: thebioengineer/validation
📜: sidescroller
🎥:
🌟: Building A Native IPad Dashboard Using Plumber And RStudio Connect In Pharma
🔈: Aymen Waqar
🔗:
📜:
🎥:
🌟: FlatironKitchen: How We Overhauled A Frankensteinian SQL Workflow With The Tidyverse
🔈: Nathaniel Phillips
🔗:
📜:
🎥:
🌟: Using R To Create Reproducible Engineering Test Reports
🔈: Ana Alyeska Santos, Braulio Cuandon
🔗:
📜:
🎥:
16:00 Session 3, Track 4: Programming
🌟: Getting Things Logged
🔈: Gergely Daroczi daroczig
🔗: daroczig/logger
📜: reveal
🎥:
🌟: Technical Debt Is A Social Problem
🔈: Gordon Shotwell gshotwell
🔗:
📜: xaringan
🎥:
🌟: Parallel Computing With R Using Foreach, Future, And Other Packages
🔈: Bryan Lewis
🔗: https://github.com/bwlewis/writing_foreach_adapters
📜:
🎥:
🌟: Future: Simple Async, Parallel & Distributed Processing In R - What's Next?
🔈: Henrik Bengtsson henrikbengtsson
🔗: https://www.jottr.org/2020/02/01/future-rstudioconf2020-slides/
📜: google slides
🎥:
Thursday 2019-01-30
9:00 Keynote
🌟: Object Of Type ‘Closure’ Is Not Subsettable
🔈: Jenny Bryan JennyBryan
🔗: jennybc/debugging
📜: speakerdeck pdf
🎥:
10:30 Session 1, Track 1: Communication
🌟: Branding And Packaging Reports With R Markdown
🔈: Jake Thompson
🔗: wjakethompson
📜: pdf
🎥:
🌟: Don’t Repeat Yourself, Talk To Yourself! Repeated Reporting In The R Universe.
🔈: Sharla Gelfand sharlagelfand
🔗:
📜: xaringan
🎥:
🌟: How Rmarkdown Changed My Life
🔈: Rob Hyndman robjhyndman
🔗:
📜: pdf
🎥:
🌟: One R Markdown Document, Fourteen Demos
🔈: Yihui Xie xieyihui
🔗: blog post
📜: R script
🎥:
10:30 Session 1, Track 2: Medicine
🌟: Building A Medical Device With R
🔈: Ron Keizer ronpirana
🔗:
📜:
🎥:
🌟: Development Of A Web-Based Clinical Decision Support Application For Platelet Transfusion Management
🔈: Justin Juskewitch
🔗:
📜:
🎥:
🌟: Forecasting Platelet Blood Bag Demand To Reduce Inventory Wastage At The Stanford Blood Center
🔈: Qian Zhao
🔗:
📜:
🎥:
🌟: Shiny New Things: Using R To Bridge The Gap In EMR Reporting
🔈: Brendan Graham
🔗:
📜:
🎥:
10:30 Session 1, Track 3: Visualization
🌟: The Glamour Of Graphics
🔈: William Chase W_R_Chase
🔗:
📜: Keynote
🎥:
🌟: 3D Ggplots With Rayshader
🔈: Tyler Morgan-Wall tylermorganwall
🔗:
📜: https://tylermw.com/presentations/rstudio2020/assets/player/KeynoteDHTMLPlayer.html
🎥:
🌟: Designing Effective Visualizations
🔈: Miriah Meyer miriah_meyer
🔗:
📜:
🎥:
🌟: Tidyverse 2019-2020
🔈: Hadley Wickham hadleywickham
🔗:
📜:
🎥:
10:30 Session 1, Track 4: Workflow
🌟: RMarkdown Driven Development
🔈: Emily Riederer EmilyRiederer
🔗: https://emilyriederer.netlify.com/post/rmddd-tech-appendix/
📜: slideshare
🎥:
🌟: Renv: Project Environments To R
🔈: Kevin Ushey kevin_ushey
🔗: https://rstudio.github.io/renv/
📜: xaringan
🎥:
🌟: RStudio 1.3 Sneak Preview
🔈: Jonathan McPherson
🔗:
📜: speakerdeck
🎥:
🌟: Using Jupyter With RStudio Server Pro
🔈: Karl Feinauer
🔗:
📜:
🎥:
13:00 Session 2, Track 1: ggplot2
🌟: Best Practices For Programming With Ggplot2
🔈: Dewey Dunnington paleolimbot
🔗: paleolimbot/rstudioconf2020
📜: xaringan
🎥:
🌟: Spruce Up Your Ggplot2 Visualizations With Formatted Text
🔈: Claus Wilke ClausWilke
🔗:
📜: slideshare
🎥:
🌟: The Little Package That Could: Taking Visualizations To The Next Level With The Scales Package
🔈: Dana Seidel dpseidel
🔗:
📜: xaringan
🎥:
🌟: Extending Your Ability To Extend Ggplot2
🔈: Thomas Lin Pedersen thomasp85
🔗:
📜: keynote
🎥:
13:00 Session 2, Track 2: Modeling
🌟: MLOps For R With Azure Machine Learning
🔈: David Smith revodavid
🔗: revodavid/mlops-r
📜: pdf
🎥:
🌟: Totally Tidy Tuning Techniques
🔈: Max Kuhn topepos
🔗: Github
📜:
🎥:
🌟: Neural Networks For Longitudinal Data Analysis
🔈: Sydeaka Watson
🔗:
📜:
🎥:
🌟: Stochastic Block Models With R: Statistically Rigerous Clusting With Rigorous Code
🔈: Nick Strayer NicholasStrayer
🔗:
📜: xaringan
🎥:
13:00 Session 2, Track 3: Organizational Thinking
🌟: Small Team, Big Value: Using R To Design Visualizations
🔈: Ian Lyttle ijlyttle
🔗:
📜: speakerdeck
🎥:
🌟: UnicoRns Are Real
🔈: Travis Gerke travisgerke
🔗: tgerke/unicoRns-are-real
📜: xaringan
🎥:
🌟: Data Science In Meatspace
🔈: Ben-Joaquin Gouverneur
🔗:
📜:
🎥:
🌟: Value In Data Science Beyond Models In Production
🔈: Eduardo Ariño De La Rubia
🔗:
📜:
🎥:
13:00 Session 2, Track 4: Programming
🌟: Auto-Magic Package Development: Building An R API For Building Vega-Lite Specs
🔈: Alicia Schep AliciaSchep
🔗:
📜: google docs
🎥:
🌟: Bridging The Gap Between SQL And R: Introducing Queryparser And Tidyquery
🔈: Ian Cook ianmcook
🔗: https://github.com/ianmcook/rstudioconf2020
📜: pdf
🎥:
🌟: List-Columns In Data.Table: Reducing The Cognitive And Computational Burden When Working With Comple
🔈: Tyson Barrett healthandstats
🔗:
📜: pdf
🎥:
🌟: Advances In Tidyeval
🔈: Lionel Henry _lionelhenry
🔗:
📜: speakerdeck
🎥:
13:00 Lightning Talks
🌟: Livecode: Broadcast Your Live Coding Sessions From And To RStudio
🔈: Colin Rundel rundel
🔗: rundel/Presentations
📜: xaringan
🎥:
🌟: A High School Student’s Journey To Bring R Into The Classroom.
🔈: Jay Campanell
🔗:
📜:
🎥:
🌟: Becoming An R Blogger
🔈: Rebecca Barter rlbarter
🔗: rlbarter/rstudio-conf-2020-blogger-slides
📜: pdf
🎥:
🌟: Data Science For Software Engineers: Busting Software Myths With R
🔈: Yim Register yimregister
🔗:
📜:
🎥:
🌟: Learn To Teach, For Goodness Sake.
🔈: Mike K Smith MikeKSmith
🔗: MikeKSmith/RStudioConf2020
📜: pdf
🎥:
🌟: Learning By Teaching: Mentoring At The R4DS Online Learning Community
🔈: Jon Harmon JonTheGeek
🔗:
📜: bit.ly/r4dsrstudio2020
🎥:
🌟: Every Voice Matters: An Analysis Of @WeAreRLadies
🔈: Katherine Simeon
🔗: katherinesimeon/WeAReRLadies-text-data
📜:
🎥:
🌟: Lessons About R I Learned From My Cat
🔈: Amanda Gadrow ajmcoqui
🔗:
📜:
🎥:
🌟: TidyBlocks: Using The Language Of The Tidyverse In A Blocks-Based Interface
🔈: Maya Gans Mayacelium
🔗:
📜: vimeo
🎥:
🌟: Making A Tidy Dress
🔈: Amelia McNamara AmeliaMN
🔗: http://amelia.mn/MakingATidyDress.pdf
📜:
🎥:
🌟: Datasets In Reproducible Research With 'Pins'
🔈: Javier Luraschi javierluraschi
🔗:
📜: rpubs
🎥:
🌟: Course Material Creation In The R Ecosystem
🔈: Kelly Bodwin KellyBodwin
🔗:
📜:
🎥:
🌟: Mexican Electoral Quick Count Night With R
🔈: Maria Ortiz Mancera
🔗:
📜:
🎥:
🌟: Rproject Templates To Automate And Standardize Your Workflow
🔈: Caroline Ledbetter
🔗: netlify
📜:
🎥:
🌟: Sound Annotation With Shiny And Wavesurfer
::speaker::: Athos Damiani athos_damiani
🔗: athospd.github.io/rstudio-conf-2020
📜:
🎥:
🌟: Peer Review In Data Science Courses
::speaker::: Therese Anders thereanders
🔗:
📜:
🎥:
🌟: The Five Principles Of Data Science Education
::speaker::: Hunter Glanz hglanz
🔗:
📜:
🎥:
:star_2: Sliding Windows and Calendars
::speaker:: Davis Vaughan dvaughan32
🔗: davisvaughan.github.io
📜:
🎥:
13:00 Panel
16:00 Keynote
🌟: NSSD Episode 100
::speaker::: Roger Peng rdpeng, Hilary Parker hspter
🔗: NSSD: 100 - Live from RStudio Conf 2020
📜:
🎥:
Posters
🌟: Using R to understand, analyze, and communicate tidal wetland data
🔈: Kim Cressman swmpkim
🔗: swmpkim/rstudioconf2020_eposter
📜:
🌟: Reaping the benefits of the Shiny community (and how you can help!)
🔈: Eric Nantz theRcast
🔗: shinydevseries.com
📜: rpodcast.shinyapps.io/highlights-shiny
🌟: Integration testing: A new way to test reactive behavior in {shiny} applications and modules
🔈: Alan Dipert alandipert
🔗:
📜: pdf