Description Usage Format Source Examples
A database containing the first names of babies born in Ontario between 1917 and 2018. Counts of fewer than 5 names were suppressed for privacy.
1  | 
A database containing 161 703 lines and 4 columns:
Year
F for female and M for male
Name
Frequency
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23  |   library(dplyr)
  # The five most popular girls names in Ontario in 2018
  onbabynames %>%
    filter(year == 2018 & sex == "F") %>%
    arrange(desc(n)) %>%
    head(5)
  library(ggplot2)
  # The popularity of the five most popular girls names in Ontario in 2018
  # between 1917 and 2018
  girls2018 <- onbabynames %>%
    filter(year == 2018 & sex == "F") %>%
    arrange(desc(n)) %>%
    select(name) %>%
    head(5)
  onbabynames %>%
    filter(name %in% girls2018$name) %>%
    ggplot(aes(x = year, y = n, color = name)) +
    geom_line()
 | 
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