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FINANCIAL STATEMENT ANALYSIS with R programming: Scenario: You are a Data Scientist working for a consulting firm. One of your colleagues from the Auditing department

FINANCIAL STATEMENT ANALYSIS with R programming:

Scenario: You are a Data Scientist working for a consulting firm. One of your colleagues from the Auditing

department has asked you to help them with financial statement of their organization.

You have been supplied with two vectors of data: monthly revenue and monthly expenses for the financial

year in question.

revenue in 12 months (14574.49, 7606.46, 8611.41, 9175.41, 8058.65, 8105.44, 11496.28, 9766.09,

10305.32, 14379.96, 10713.97, 15433.50)

expenses

in 12 months (12051.82, 5695.07, 12319.20, 12089.72, 8658.57, 840.20, 3285.73, 5821.12,

6976.93, 16618.61, 10054.37, 3803.96)

> profit<- revenue - expenses > profitAfterTax<- profit - profit *0.3 > profitMargin<- round(profitAfterTax / revenue, 2) * 100 > meanthisyear<-mean(profitAfterTax) > GoodMonths<- profitAfterTax > meanthisyear > BadMonths<- profitAfterTax < meanthisyear > BestMonth<- max(profitAfterTax) > WorstMonth<- min(profitAfterTax)

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Q: compute anything else which is not listed above and round() mean() max() min() for

10 Bonus Points (like plots, or any other function)

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