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.
January 30, 2020
Currently in football many hours are spent watching game film to manually label the routes run on passing plays.
January 30, 2020
The path to becoming a world-class, data-driven organization is daunting.
January 30, 2020
There are two main challenges of working with longitudinal (panel) data: 1) Visualising the data, and 2) Understanding the model.
January 30, 2020
The Associated Press data team primarily uses R and the Tidyverse as the main tool for doing data processing and analysis.
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...
January 30, 2020
Once “big data” is thrown into the mix, the AI solution is all but certain. But is AI always needed?
January 30, 2020
We have recently implemented a new Data Science workflow and pipeline, using RStudio Connect and Google Cloud Services.
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.
