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Video
Future: Simple Async, Parallel & Distributed Processing in R - What's Next?
Future is a minimal and unifying framework for asynchronous, parallel, and distributed computing in R.
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Getting things logged
One of the greatest strength of R is the ease and speed of developing a prototype (let it be a report or dashboard, a statistical model or rule-based automation to solve a business problem...
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Growth Hacking with R - Product Analytics at Scale using R and RStudio
Salesforce is not only a cloud software solution out of the box, but also a highly customizable platform that can be modified for a wide range of use cases.
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How to win an AI Hackathon, without using AI
Once “big data” is thrown into the mix, the AI solution is all but certain. But is AI always needed?
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How Vibrant Emotional Health Connected Siloed Data Sources and Streamlined Reporting Using R
Vibrant Emotional Health is the mental health not-for-profit behind the US National Suicide Prevention Lifeline, New York City's NYC Well program, and various other emotional health contact center...
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If you build it, they will come...but then what? Facilitating communities of practice in R
Why did you learn R? Chances are good that if you're an attendee of rstudio::conf, you've found a community of R coders who are willing to share their knowledge and learn with you.
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Journalism with RStudio, R, and the Tidyverse
The Associated Press data team primarily uses R and the Tidyverse as the main tool for doing data processing and analysis.
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Learning R with humorous side projects
What should you name a new dinosaur discovery, according to neural networks? Which season of The Golden Girls should you watch when playing a drinking game?
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Making better spaghetti (plots): Exploring the individuals in longitudinal data with the brolgar pac
There are two main challenges of working with longitudinal (panel) data: 1) Visualising the data, and 2) Understanding the model.