Data Analytics Projects SP24.xIsx \table[[Year,Net Sales,\table[[Number of],[Employees]]],[2007,9,435,79,517],[2008,10,407,89,112],[2009,11,084,92,301],[2010,12,527,100,138],[2011,13,793,109,512],[2012,15,946,120,314],[2013,16,724,128,313],[2014,18,117,137,054],[2015,20,900,152,854],[2016,23,311,162,450],[2017,25,336,171,839],[2018,26,145,174,386]] Use Excel or the visualization...

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Accounting

Data Analytics Projects SP24.xIsx
\table[[Year,Net Sales,\table[[Number of],[Employees]]],[2007,9,435,79,517],[2008,10,407,89,112],[2009,11,084,92,301],[2010,12,527,100,138],[2011,13,793,109,512],[2012,15,946,120,314],[2013,16,724,128,313],[2014,18,117,137,054],[2015,20,900,152,854],[2016,23,311,162,450],[2017,25,336,171,839],[2018,26,145,174,386]]
Use Excel or the visualization software of your or your instructor's choice to perform the following. There are four parts to this problem.
a. Calculate revenue per employee for each year.
b. Graph the revenue per employee over the 12-year period using a clustered column chart with a trend line. Include axes labels, proper monetary formatting on the axes, and a descriptive chart titlo
c. What does the trend look like over time? Should management be concerned, cautiously optimistic, or pleased? Why? What factors may cause the changes in gross profit? Consider the gross profit example provided in the beginning of this problem in your resnnnse
d. What additional trends might be helpful for management to examine?
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