Step $1.$ Adjust the file and$/$or file path to read in your firefighter and police data file as you did in Milestone Two.

Step $2.$ Adjust the data set name for each file to the same name you assigned in Milestone Two.

Step $3.$ Adjust the variable names in the script provided to be the same variable names you defined in Milestone Two. Make sure to adjust both the name of the data set and the variable name. Note that you will have a total of $12$ variables, which are $2$ fields from each of the $2$ data files and then the min$/$max$/$mean for each of these, so there are a total of $12$ variables generated. #Read in Files

library$($readr$)$

#Adjust the file name and file path below for each of the $2$ files. Use the same file read code from Milestone Two

firefighter $<-$ read$\_$csv$("$~$/$SNHU$/$DAT$-500/$Milestones$/$dat$500\_$milestone$\_$two$\_$data$\_$firefighter.csv$")$

View$($firefighter$)$

police $<-$ read$\_$csv$("$~$/$SNHU$/$DAT$-500/$Milestones$/$dat$500\_$milestone$\_$two$\_$data$\_$police.csv$")$

View$($police$)$

#Adjust the sample field names and variable names below to be the same fields used in Milestone Two

polTotSalMin$<-$min$($police$$`$Total Salary$`)$

polTotSalMax$<-$max$($police$$`$Total Salary$`)$

polTotSalAvg$<-$mean$($police$$`$Total Salary$`)$

ffTotSalMin$<-$min$($firefighter$$`$Total Salary$`)$

ffTotSalMax$<-$max$($firefighter$$`$Total Salary$`)$

ffTotSalAvg$<-$mean$($firefighter$$`$Total Salary$`)$

polRetMin$<-$min$($police$Retirement$)$

polRetlMax$<-$max$($police$Retirement$)$

polRetAvg$<-$mean$($police$Retirement$)$

ffRetMin$<-$min$($firefighter$Retirement$)$

ffRetMax$<-$max$($firefighter$Retirement$)$

ffRetAvg$<-$mean$($firefighter$Retirement$)$