hourly_visits <- visits %>%
mutate(
dt = floor_date(visitStartTime, unit = "month"),
hour_ampm = format(visitStartTime, "%I %p")) %>%
group_by(dt, hour_ampm) %>%
summarise(
number_of_visits_per_hour = n(),
.groups = "drop")
ggplotly(
ggplot(hourly_visits, aes( x = dt, y = number_of_visits_per_hour, colour = hour_ampm)) +
geom_line(aes(group = hour_ampm)) +
geom_point(size = 1) +
labs(
title = "Hourly Visits",
x = "Month",
y = "Number of visits",
color = "Hour (AM/PM)"))