The general manager of an NHL team must decide which players to cut from the team in order to stay under the salary cap. The GM is looking for a data-driven system to make this difficult decision in a fair and consistent manner each year. Factors to consider include player salary, ranking, age, popularity, and education background. The person is asked to analyze the player data and provide a list of players to cut from the team in order to help the GM make these annual decisions. They are also asked to explain how this system could be used for other teams and data sets.