variable mean min median max nmissing eltype Symbol Float64 Real Float64 Real Int64 DataType 1 :room_number 550.5 1 550.5 1100 0 Int64 2 :lecturer_mask 0.485455 false 0.0 true 0 Bool 3 :box_filter 0.491818 false 0.0 true 0 Bool 4 :good_ventilation 0.52 false 1.0 true 0 Bool 5 :student_number 32.0 1 32.0 63 0 Int64 6 :student_x 25.0 5.0 25.0 45.0 0 Float64 7 :student_y 18.0 9.0 18.0 27.0 0 Float64 8 :student_mask 0.508831 false 1.0 true 0 Bool 9 :student_vaccine 0.494026 false 0.0 true 0 Bool 10 :student_infected 0.0727417 false 0.0 true 0 Bool room_number lecturer_mask box_filter good_ventilation student_number student_x student_y student_mask student_vaccine student_infected Int64 Bool Bool Bool Int64 Float64 Float64 Bool Bool Bool 1 1 true false true 1 5.0 9.0 false true false 2 1 true false true 2 5.0 12.0 false false false 3 1 true false true 3 5.0 15.0 false false false 4 1 true false true 4 5.0 18.0 false false false 5 1 true false true 5 5.0 21.0 true false false 6 1 true false true 6 5.0 24.0 true false false 7 1 true false true 7 5.0 27.0 false false false 8 1 true false true 8 10.0 9.0 false false false 9 1 true false true 9 10.0 12.0 false false false 10 1 true false true 10 10.0 15.0 false false false Make a histogram using StatsPlots.jl (which we have already imported) of the fraction of students infected per room. Please set bins=30 for your histogram. Note: this does not guarantee that the histogram will have exactly 30 bins