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BUSI 1302 INTRODUCTION TO BUSINESS (MGMT 105) HOMEWORK 2 TEXAS A& M UNIVERSITY
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BUSI 1302 INTRODUCTION TO BUSINESS (MGMT 105) HOMEWORK 2 TEXAS A& M UNIVERSITY
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BUSI 1302 INTRODUCTION TOBUSINESS (MGMT 105)
HOMEWORK 1 TEXAS A& M
UNIVERSITY
, 1. Use R commands to accomplish the following
a. Load the data file "sales.RData" (note that this is already in R's format so you can use
the function load rather than read.csv).
Ans. > load("C:/Users/meatr/Desktop/SJSU/2 sem/235-A/Week-2/sales.RData")
b. Provide a summary of each column in the sales data frame.
Ans. > summary(sales)
Year Store Product Sales
Min. :2010 Min. :1 Min. :1.0 Min. : 0
1st Qu.:2012 1st Qu.:2 1st Qu.:2.0 1st Qu.:1594
Median :2014 Median :3 Median :3.5 Median :2184
Mean :2014 Mean :3 Mean :3.5 Mean :2248
3rd Qu.:2017 3rd Qu.:4 3rd Qu.:5.0 3rd Qu.:2909
Max. :2019 Max. :5 Max. :6.0 Max. :4960
c. Describe how the data is organized (i.e. what is contained in each row or what is the unit
of observation).
Ans. > class(sales)
[1] "data.frame"
> sapply(sales, class)
Year Store Product Sales
"integer" "integer" "integer" "numeric"
d. What were the total sales in 2017?
Ans. > sum(sales$Sales[sales$Year == 2017])
[1] 63683.86
e. Show the total sales in each year.
Ans. > aggregate(Sales~Year, sales, sum)
Year Sales
1 2010 72757.96
2 2011 66443.94
3 2012 63928.96
4 2013 70598.57
5 2014 67806.71
6 2015 63367.40
7 2016 70749.49
8 2017 63683.86
9 2018 64919.11
10 2019 70270.46
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