R-Ladies+ Remote (English) - Working Smarter in R: Tips, Tricks & Real-World Lessons

R-Ladies+ Remote (English) - A gRadual Intro to Shiny - Ted Laderas

R-Ladies Cologne (English) - LLM Tool calling in R with ellmer - Veerle Eeftink - van Leemput

R-Ladies Ottawa (English) - Custom city maps in R - Reiko Okamoto

R-Ladies Gaborone (EN) - Positron for RStudio Users: A Gentle Introduction with Isabella Velásquez

R-Ladies Rome (English) - From R to Python: A Gentle Introduction - Federica Gazzelloni

R-Ladies Gaborone (English) - LLM Tools in the R Space with Luis D. Verde Arregoitia

R-Ladies Rome (English) - Interactive R, Python, and Shiny in the Browser with Quarto and Shinylive

R-Ladies RTP (English) - Tidy Data, Weighted Insights: Analyzing Complex Survey Data in R

R-Ladies Ottawa (English) - Coding for a cause with Claudie Larouche

R-Ladies Rome (English) - Deathly Dataviz: How public health dashboards can backfire... - Eli Holder

R-Ladies Cologne (English) - R packages made easy: introducing {fusen} - Sébastien Rochette

R-Ladies Bergen/Cologne (English) - Reproducible pipelines: Q&A with the author - Bruno Rodrigues

R-Ladies Rome (English) - Using GitHub Copilot (and others LLM) with R - Yanina Bellini Saibene

R-Ladies Rome (English) - Openscapes: Forking as a Worldview

R-Ladies Cologne (English) - Kickoff "R-Ladies 💜 PyLadies" - Rhian Davies and Deena Gergis

R-Ladies Rome (English) - Open Source Software and the Government

R-LadiesGaborone (EN) -The Art of the Plot:Applying Data Viz Principles in R to Maximize your Impact

R-Ladies New York (English) - Building a Website in R - Federica Gazzelloni

R-Ladies Rome (English) - R in Production - Hadley Wickham

R-Ladies Gaborone & R-Ladies RTP (English) - Personal R Administration

R-Ladies Rome (English) - R for geospatial data science and public health surveillance

R-Ladies Ottawa (English) - Introduction to Arrow - Nic Crane and Steph Hazlitt

R-Ladies Rome (English) - Extending the data science workflow: {vetiver} and {pins}

R-Ladies Cambridge (English) - Dataviz lunch: Replicating Du Bois with R - Federica Gazzelloni

R-Ladies Rome (English) - Debugging in R - Shannon Pileggi

R-Ladies Ottawa (English) - Data Visualization II - Reiko Okamoto

R-Ladies Ottawa (English) - Data Visualization I - Reiko Okamoto

R-Ladies Ottawa (English) - Intro to R and RStudio - Reiko Okamoto

R-Ladies D.C - Parameterized reporting using Quarto - Jadey Ryan

R-Ladies Cambridge (English) - How to create interactive ggplots with ggiraph - Tanya Shapiro

R-Ladies Cambridge (English) - Custom colour scales for {ggplot2} - Nicola Rennie

R-Ladies Cambridge (English)-Exploratory visualization of spatial data with {mapview}-Sharon Machils

R-Ladies Rome (English) - Ten tips for better text: typography meets ggplot and friends

R-Ladies New York (English) - 2023 R-Ladies NYC Lightning Talks

R-Ladies Rome (English) - (Even More) Exciting Data Visualizations with ggplot2 Extensions

R-Ladies Bergen & R-Ladies Cologne (English) - Hello, Quarto - Mine Çetinkaya-Rundel

R-Ladies Cambridge (English)– Beautifully annotated: enhancing your ggplots with text– Cara Thompson

R-Ladies Remote (English) - Debugging in R - Shannon Pileggi

R-Ladies Rome (English) - One Health and the Politics of Coronaviruses - Dr. Laura Kahn

R-Ladies Rome (English) - Why I Hate Summer Time - Jon Harmon

R-Ladies Cologne & Paris (English) - GitHub Actions and Quarto - Angelica Becerra

R-Ladies D.C. (English) - Introduction to NLP with R - Anya Mityushina

R-Ladies Freiburg (English) - Tidy data: Wrangling for statistical analysis in R - Kyla McConnell

R-Ladies Rome (English) - What's new in the tidyverse - Isabella Velasquez

R-Ladies Cologne & Paris (English) - AutoML in R & Python Using H2O - Erin LeDell

R-Ladies D.C. (English) - Introduction to R Shiny - Ashton Drew

R-Ladies New York (English) - All Aboard Transportation and Data - Mikaela Jordan & Lisa Mae Fiedler

R-Ladies D.C. (English) - Communicating Data Science: Lessons Learned - Dr. Sam Tyner-Monroe

R-Ladies New York (English) - Writing Meaningful Alt-Texts for Data Visualizations in R - Liz Hare

R-Ladies New York (English) - Lightning Talks 2022

R-Ladies Cologne & Paris (English) - Bringing Your Plots to Cloud 9 With {Plotnine} - Tanya Shapiro

R-Ladies DC (English) - How to Spatial Modeling with R - Federica Gazzelloni

R-Ladies Johannesburg (Eng) - How to Send Email With R - Sharon Machlis

R-Ladies Bergen (English) - "Making and publishing your first R package" - Sarah Popov

R-Ladies NYC (English) - Data Jobs Panel - Rachel Cohen and Shivani Sood

R-Ladies Freiburg (English) - Getting to know Quarto

R-Ladies Cologne (English) - Preparing For The Wild - Ellie King (Equal-IT)

R-Ladies Freiburg (English) - Shiny Data Dashboards: Eurovision

R-Ladies New York (English) - 2021 R-Ladies NYC Lightning Talks