20 Lessons from Data Scientists - R Data Science Conference Summary

Open Source Software for Data Science Part 1 - JJ Allaire

Open Source Software for Data Science Part 2 - JJ Allaire

Data practicies and data problems in performance sport - Jacquie Tran

Chatbot analytics with R - Jayne Ihaka

Data Tests: Separating between Data Sources and the Rest - Harel Lustiger

iNZight: Capabilities, aims, audiences and ambitions - Chris Wild

I dream of gg(plot2): visualising sleep in pregnancy with R - Victoria King

Reproducible science at Dragonfly - Caleb Moses

R in Production. Yes, really! - Antony Southworth

How to be more productive as a Data Scientist - John Graves

The craft of data storytelling - Harkanwal Singh

30 Maps in 30 Days: The case for publishing first drafts - Emma Vitz

Making your own ggplot2 theme - Aaron Schiff

DHBins: hexmaps for New Zealand - Thomas Lumley

Five ways to make learnr even better for teaching - Anna Fergusson

Animated Statistical Theory - Charlotte Jones-Todd

Former Excel User Trains 12,000 Students to Use R - Jonathan Ng

Scalable Collaborative Data Science using R - Simon Urbanek

iNZight: behind the scenes - Tom Elliott

Handling larger than RAM data with ease - Zhuojia Dai

Collecting and Analysing Donald Trump Tweets in R - Owen Flanagan