Sport facilities management is a fun and exciting career. There are several types and sizes of sports facilities, such as a community center, aquatic center, a baseball complex, ice arena or a major-league sports arena; however, the fundamentals of sport facilities management remain the same, and the skills and aptitudes of the sport facilities manager more or less remain the same, no matter the type or size of the sport facility.Access a sport facility manager job posting on a career website of your choice (e.g., CareerBuilder, Indeed, Dice, Glassdoor, etc.). As you access the career website of your choice, search for sport facility manager positions.Based on the job positing identified, outline the various skills and aptitudes required for the sport facility manager.By now you should have identified a facilities manager to be interviewed for your Final Paper. What skill or aptitude do you feel that will identify as the most important? If you have not selected a facilities manager yet, select the one skill or aptitude that you believe is the most important, and support your argument why you identified the one skill and aptitude as the most important.Developing and writing your discussion response will include your ideas and perceptions on the specific topic. Your insights and experiences are important in the development of your response; however, please remember to include academic content from the course text, journals, and other academic sources as you write and post your discussion question response.

Question 3: You are interested in understanding the demographics of a particular cohort in your data set: those who have a bachelor's degree or higher whose occupation is also "Exec-managerial." (Hint: First write code to subset those with occupational category of "Exec-managerial," then write code to subset for educational level.) Use the appropriate R function(s) to report the count of individuals who meet these criteria along with their average age and the percentage who earn more than $50,000 annually. Include a screenshot of the R console output as part of the answer. Question 4: Using the Age variable, create a new variable that divides Age into age categories. Your categories should be as follows: Under 25; 25-34; 35-44; 45-54; 55-64; 65+. The code to create the first category would be as follows: incomedat$age_cat[incomedat$Age < 25] <- "<25" Use this line of code as a template to create the other categories. Ensure that your code worked by showing a table with the age categories and the counts of individuals in each category. Question 5: Create a cross tab showing the count of customers in each age bracket who earn more than $50,000 annually. Use the appropriate R function(s) to calculate the percentage of customers who earn more than $50,000 annually for each age bracket. Include a screenshot of the R console output as part of the answer. Which age category has the highest percentage of individuals that earn over $50k?