Keywords: big data, packages, shiny, reproducible research, business analytics
Abstract: Over the last 5 years mobile gaming industry has experienced a massive growth. Hundreds of millions of players play King games every month. We will briefly talk about how King data science teams coped with this amount of information and how
R has allowed them to collaborate and grow a culture of reproducible research. Large data science teams are typically made of people coming from very different backgrounds: hard sciences, engineering, economics, computer science, business, psychology, etc. That poses the challenge to develop a common technology stack that could allow for a fluid and agile collaboration.
R is the perfect language for that.
Namely, we will see how
R has been used to:
- Build data access packages
- Quickly assemble dashboards and reporting tools by leverging the shiny package.
- Implement a reproducible research mindset with github, Rmarkdown and notebooks.
