An exploratory data analysis project in which the possibility of a draft position having an impact on the success of an National Basketball Association (NBA) players career is explored. The intention of the project is for NBA teams and players to be able to look back at past draft classes. This way, we can predict the most desirable draft spot from the NBA lottery for teams based on the success of previous draft selections at a certain draft position.

Target audience for this product is current NBA Teams and Players. This project uses a KDD methodology for the exploratory analysis and was coded using both R and Python.  

The project has been realized using R, R Shiny and Python. It consists of a user-friendly dynamic dashboard with easily understandable and interpretable outputs.