$x$ lsx

Difficulty: Level $2$

Data analytics plays a big role in the assessment and recruitment of athletes for both college and professional sports. The purpose of this exercise is to review the DATA Analytics Framework and data design for a project intended to recruit a college level quarterback. Read the short case below carefully and open the file named Chapter $1$ DA Exercise $1.$

The University of Data State is recruiting a quarterback for their football team. The recruiter will need to study the performance of several athletes to determine who should be invited to campus for a visit and workout. Each athlete will be evaluated for at least two games during the college football season in the months of September and October. Below is a list of items the recruiter will need to assess.

Distance on passes completed. The recruiter needs to know how far the quarterback can throw the football.

Number of passes completed versus the number of passes thrown incomplete. The recruiter would like to see if the quarterback can complete most of the passes thrown to a teammate.

Nunster of touchdown passes. How often was the quarterback able to throw a pass that resulted in points scored for the team?

What quarter of the game were the passes completed? This will help the recruiter determine how consistent the quarterback is throwing throughout the game. For example, a quarterback that completes a lot of passes at the beginning of the game $(1$st quarter$)$ but very few towards the end $(4$th quarter$)$ may lack stamina.

Situation analysis to determine the quarterback's ability to complete passes on specific downs.