Chapter 7 Summarising and plotting the data

You may want to summarise the data to obtain numerical summaries. Try the following code. I’ve “commented out” some code. This means that I can see other options that I can use, but these are not run. If you’d like to try the commented out code, simply remove the hash (or comments) “#” signs.

summary(Nurses)

##     Nurse_ID       Hours_Mon      Hours_Tues  Hours_Total  
##  Min.   : 1.00   Min.   :2.00   Min.   :4    Min.   :6.00  
##  1st Qu.: 5.50   1st Qu.:2.75   1st Qu.:4    1st Qu.:6.75  
##  Median :14.00   Median :3.50   Median :4    Median :7.50  
##  Mean   :23.75   Mean   :3.50   Mean   :4    Mean   :7.50  
##  3rd Qu.:32.25   3rd Qu.:4.25   3rd Qu.:4    3rd Qu.:8.25  
##  Max.   :66.00   Max.   :5.00   Max.   :4    Max.   :9.00

ggplot(Nurses,mapping=aes(x=Nurse_ID,y=Hours_Total))+
geom_bar(stat="identity")+ggtitle("Add your title here")+
theme(text = element_text(size = 40))  

#+ theme(axis.title=element_text(size=60,face="bold"))