Case Study

R + Tidyverse in Sports

rstudio::conf 2020

R + Tidyverse in Sports

January 30, 2020

There are many ways in which R and the Tidyverse can be used to analyze sports data and the unique considerations that are involved in applying statistical tools to sports problems.

Putting the Fun in Functional Data: A tidy pipeline to identify routes in NFL tracking data

rstudio::conf 2020

Putting the Fun in Functional Data: A tidy pipeline to identify routes in NFL tracking data

January 30, 2020

Currently in football many hours are spent watching game film to manually label the routes run on passing plays.

Professional Case Studies

rstudio::conf 2020

Professional Case Studies

January 30, 2020

The path to becoming a world-class, data-driven organization is daunting.

Making better spaghetti (plots): Exploring the individuals in longitudinal data with the brolgar pac

rstudio::conf 2020

Making better spaghetti (plots): Exploring the individuals in longitudinal data with the brolgar pac

January 30, 2020

There are two main challenges of working with longitudinal (panel) data: 1) Visualising the data, and 2) Understanding the model.

Journalism with RStudio, R, and the Tidyverse

rstudio::conf 2020

Journalism with RStudio, R, and the Tidyverse

January 30, 2020

The Associated Press data team primarily uses R and the Tidyverse as the main tool for doing data processing and analysis.

How Vibrant Emotional Health Connected Siloed Data Sources and Streamlined Reporting Using R

rstudio::conf 2020

How Vibrant Emotional Health Connected Siloed Data Sources and Streamlined Reporting Using R

January 30, 2020

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...

How to win an AI Hackathon, without using AI

rstudio::conf 2020

How to win an AI Hackathon, without using AI

January 30, 2020

Once “big data” is thrown into the mix, the AI solution is all but certain. But is AI always needed?

Building a new data science pipeline for the FT with RStudio Connect

rstudio::conf 2020

Building a new data science pipeline for the FT with RStudio Connect

January 30, 2020

We have recently implemented a new Data Science workflow and pipeline, using RStudio Connect and Google Cloud Services.

A SAS-to-R success story

rstudio::conf 2018

A SAS-to-R success story

March 4, 2018

Our biostatistics group has historically utilized SAS for data management and analytics for biomedical research studies, with R only used occasionally for new methods or data visualization. Several years ago and with the encouragement of leadership, we initiated a movement to increase our usage of R significantly.