── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ dplyr 1.1.4 ✔ readr 2.1.5
✔ forcats 1.0.0 ✔ stringr 1.5.1
✔ ggplot2 3.5.1 ✔ tibble 3.2.1
✔ lubridate 1.9.3 ✔ tidyr 1.3.1
✔ purrr 1.0.2
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag() masks stats::lag()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(primer.data)
connectedness |> drop_na() |> ggplot(aes(x = population)) + geom_histogram(binwidth = 0.04) + scale_x_log10(labels = scales::comma_format()) + labs(title = "US County Populations in 2018",
subtitle = "Populations are highly skewed",
x = "Population",
y = "Number of Counties",
caption = "Opportunity Insights")
