You can make fancier plots if you use the ggplots2 library. Here are some examples. First you need to load the ggplot2 library into R with the following command.

library("ggplot2")
results = read.csv("http://people.hsc.edu/faculty-staff/blins/classes/spring19/math222/Examples/highbridge2018.csv")

Histograms

ggplot(data = results, aes(x=minutes))+geom_histogram(binwidth=10,boundary=0,color='black',fill='gray')+
       labs(title="Race Times", y = "Runners", x = "Minutes")

Bar Graphs

ggplot(data = results, aes(x=gender,fill=gender))+geom_bar()

Side-by-Side Boxplots

ggplot(data = results, aes(x=minutes, y=gender,fill=gender))+geom_boxplot()+labs(title="Race Times by Gender",x="Time (minutes)", y="Gender")

Scatterplots

ggplot(data = results, aes(x=age, y=minutes, col=gender))+geom_point()+labs(title="Race Times by Age and Gender",x="Age",y="Time (minutes)")