On this Rmarkdown I’ll show in graphs the results of the survey attitude, related to a questionnaire made to approximately 35 employees for each 30 (randomly selected) departments.

First we bring up the data with

View(attitude)

then we start creating the different type of plots.

  1. SCATTER PLOTS
plot(attitude$rating,attitude$complaints,frame.plot = FALSE,type = "p",xlab = "Overall Rating",ylab = "Complaints", main = "Complaints results graph")

plot(attitude$rating,attitude$privileges,frame.plot = FALSE,type = "p",xlab = "Overall Rating",ylab = "Privileges", main = "Privileges results graph")

plot(attitude$rating,attitude$learning,frame.plot = FALSE,type = "p",xlab = "Overall Rating",ylab = "Learning", main = "Learning results graph")

plot(attitude$rating,attitude$raises,frame.plot = FALSE,type = "p",xlab = "Overall Rating",ylab = "Raises", main = "Raises results graph")

plot(attitude$rating,attitude$critical,frame.plot = FALSE,type = "p",xlab = "Overall Rating",ylab = "Critical", main = "Critical results graph")

plot(attitude$rating,attitude$advance,frame.plot = FALSE,type = "p",xlab = "Overall Rating",ylab = "Advance", main = "Advance results graph")

  1. HISTOGRAM PLOTS
plot(attitude$rating,attitude$complaints,frame.plot = FALSE,type = "h",xlab = "Overall Rating",ylab = "Complaints", main = "Complaints results graph")

plot(attitude$rating,attitude$privileges,frame.plot = FALSE,type = "h",xlab = "Overall Rating",ylab = "Privileges", main = "Privileges results graph")

plot(attitude$rating,attitude$learning,frame.plot = FALSE,type = "h",xlab = "Overall Rating",ylab = "Learning", main = "Learning results graph")

plot(attitude$rating,attitude$raises,frame.plot = FALSE,type = "h",xlab = "Overall Rating",ylab = "Raises", main = "Raises results graph")

plot(attitude$rating,attitude$critical,frame.plot = FALSE,type = "h",xlab = "Overall Rating",ylab = "Critical", main = "Critical results graph")

plot(attitude$rating,attitude$advance,frame.plot = FALSE,type = "h",xlab = "Overall Rating",ylab = "Advance", main = "Advance results graph")

  1. BOX-AND-WHISKER PLOT
boxplot(attitude,main="Attitude Questionarie",frame.plot=FALSE)