Find a univariate data set online that has to do with information security major.

1. Create a plot of each type from Lecture 2 using the dataset you picked.
2. For each plot write a one paragraph interpretation of the plot

Using R srudio ..

Lecture2

## Raw Data Gathered from Survey Data.Kids<-c(0,9,8,2,2,2,2,1,1,1,4,5,2,0,0,0,0,0,0,2,3,4, 5,1,1,6,9,2,2,2,2,2,3,3,3,3,3,1,1,1,1,10,0,0, 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1, 2,2,2,2,2,2,1,0) 

#Univariate data print(Data.Kids) sorted.kids<-sort(Data.Kids) # Sorts Data.Kids print(sorted.kids) # Frequency Tables # Simple Freq Table Simple.Table<-transform(table(Data.Kids)) print(Simple.Table) #Information rich freq table giant.table<-cbind(Freq=(table(Data.Kids)),Relative=prop.table(table(Data.Kids))) print(giant.table) #histograms # R picks the size of each category (or data class) hist(Data.Kids, main="Default Histogram") # Here we specify the size of the data class hist(Data.Kids, breaks=seq(min(Data.Kids),max(Data.Kids),by=2),main="Histogram with classes of length 2") ##Boxplot boxplot(Data.Kids)