R-Ladies D.C. (English) - Introduction to R Shiny - Ashton Drew
R-Ladies DC (English) - How to Spatial Modeling with R - Federica Gazzelloni
R-Ladies D.C. (English) - Introduction to NLP with R - Anya Mityushina
R-Ladies D.C. (English) - Communicating Data Science: Lessons Learned - Dr. Sam Tyner-Monroe
R-Ladies DC (English) - Introduction to COVID19 data visualization using tidyverse packages in R
R-Ladies D.C - Parameterized reporting using Quarto - Jadey Ryan
Ludmila Janda - Using R to Better Understand R-Ladies NYC
R-Ladies DC (English) - Exploring Our Universe Through Sight & Sound (or Touch!) - Dr Kim Arcand
R-Ladies Baltimore and Washington DC | Intoduction to Bookdown | Tyner
R-Ladies Lightning Talks 2023
DC_THURS w/ Gabriela de Queiroz (IBM / R-Ladies)
R-Ladies DC (English) - Pandemics, Graphics, and Perception of Log Scales - Susan Vanderplas
R-Ladies DC (English) - This month, I learned ... - Charlotte Wickham
IAS Officer Royal Entry || #IAS_Motivational_Video || IAS Entry ||
R-Ladies Amsterdam: Introduction to tidyverse by Nutsa Nanuashvili
R-Ladies Amsterdam: R for the Planet by Alexa Fredston
R-Ladies Vancouver (Eng) - Intro to Spatial Data in R - Véronique Mulholland
R-Ladies Freiburg (English) - Tidy data: Wrangling for statistical analysis in R - Kyla McConnell
R Ladies Baltimore | Intro to Causal Inference in R using fixest
R4DS Project Club: RLadies Chapters: Making Talks Work for Diverse Audiences (proj01)
