Description Usage Format Details Source Examples
Details for all 19,961 runners in the 2017 Cherry Blossom Run, which is an annual road race that takes place in Washington, DC. Most runners participate in a 10-mile run while a smaller fraction take part in a 5k run or walk.
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A data frame with 19,961 observations on the following 9 variables.
Number on the runner's bib.
Name of the runner, with only the initial of their last name.
Gender of the runner.
Age of the runner.
Home city of the runner.
Time to complete the race, after accounting for the staggered starting time, in seconds.
Time to complete the race, ignoring the staggered starting time, in seconds.
Average time per mile, in seconds.
The event the racer participated in, either the "10 Mile"
race or the "5K"
.
There was a time limit where all 10 Mile racers had to finish by. Can you figure out what that time is?
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | library(ggplot2)
# Finishing times
ggplot(run17, aes(x = net_sec)) +
geom_histogram(binwidth = 300) +
facet_wrap(~event, nrow = 2) +
labs(
title = "Finishing times for 2017 Cherry Blossom Run, by event",
subititle = "After accounting for the staggered starting time",
x = "Time to complete the race, in seconds",
y = "Frequency"
)
# Pacing
ggplot(run17, aes(x = pace_sec)) +
geom_histogram(binwidth = 100) +
facet_wrap(~event, nrow = 2, scales = "free_y") +
labs(
title = "Pacing for 2017 Cherry Blossom Run, by event",
x = "Average time per mile, in seconds",
y = "Frequency"
)
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