Question

51. The following chart, presented by the United States Department of Labor in May 2015, shows the states that employ the most general managers and operations managers: State per thousand quotient Location Hourly mean Annual mean 268,060 175,580 157,100 108,080 86,410 17.30 15.17 17.49 18.47 21.04 1.11 0.98 1.12 1.19 1.35 $61.78 $61.99 69.49 $54.46 $54.53 wage (2) $128,51O $128,940 $144,540 $113,280 $113,430 Texas New York Illinois Assume that your company, located in California, is considering hiring five new managers. You wish to offer an attractive salary and benefits package in an effort to secure some of the best talent. The HR director has asked you to prepare a report summarizing this information, highlighting California, in a graphic format that will be part of her PowerPoint presentation. (A) Which charting method would you use? Why is your choice superior to other charts and graphs? (B) Describe how you would construct this illustration. In your response, be sure to explain hovw you would emphasize California among its high-ranking sister states.
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Answer #1

Employment Location quotient Annual mean wage Employment per thousand jobs(9) (Sec-Axis) State California Texas New York llinois Georgia 268060 175580 157100 108080 86410 17.3 15.17 17.49 18.47 21.04 1.11 0.98 1.12 1.19 1.35 Hourly mean wage 61.78 61.99 69.49 54.46 54.43 128510 128940 144540 113280 113430 The hourly mean wage is just a derived figure which is found by calculating: Annual mean wage / (40 52) Similarly employment per thousand jobs is also derived So we will only plot the primary figures which are not derived from others State comparative 300000 1.6 250000 1.2 150000 100000 50000 0.8 0.6 0.4 0.2 California Texas New York Illinois Georgia EmploymentAnnual mean wageLocation quotient (9) (Sec-Axis)The above illustration highlights the state of California and also charts out important parameters for each state thus making comparison among peers feasible. The use of secondary axis also helps in charting multiple metrics on a single chart wherein these metrics are not comparable.

Thus this is a good charting method to present for comparative among states.

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