Data Analysis

During competitions, the team collects scouting data on the performance of other teams. These data can serve a number of purposes, such as:

• Ranking potential alliance partners

• Evaluating new strategies and robot enhancements

• Publishing match analyses

Scouting

Scouting data is recorded using a mobile application customized for each year's game. Students are assigned to each match to ensure that we have complete coverage.

Anaconda Navigator

We use Anaconda Navigator to launch either a Python or R programming and data analysis environment.

Download Anaconda Navigator here. Select the Python 3.7 version (or the latest Python 3 version) for your operating system, and follow the installation instructions.

When first started, Anaconda Navigator opens a browser with several launcher tiles. We primarily use Jupyter notebooks, which can run either Python or R code in a notebook format.