Issue with plotting maps that include Connecticut

[jerryli822]

Describe the bug
When using the plot_usmap function with any dataset that includes Connecticut, the area for Connecticut appears as blank.

To Reproduce
Using your example:

"library(ggplot2)

mt <- plot_usmap("states", include = .mountain, labels = TRUE)

fl <- plot_usmap("counties", data = countypov, values = "pct_pov_2014", include = "FL") +
scale_fill_continuous(low = "green", high = "red", guide = "none")

ne <- plot_usmap("counties", data = countypop, values = "pop_2015", include = .new_england) +
scale_fill_continuous(low = "blue", high = "yellow", guide = "none")

cowplot::plot_grid(mt, fl, ne, nrow = 1)"

----> Connecticut on the third map is completely dark (N/A).

[pdil]

Yes, as of the 2022 shapefiles Connecticut counties have different FIPS codes (more info here: https://www.federalregister.gov/documents/2020/12/14/2020-27459/change-to-county-equivalents-in-the-state-of-connecticut). As such any datasets that use the old codes won't map correctly to the counties. Thank you for the report though, this is a good reminder to update the included datasets in this package as they are now quite old.

[pdil]

The most recent poverty data set is from 2021 so it doesn't include the Connecticut changes yet. In the next usmap update you'll be able to see Connecticut counties plot correctly with the countypop data set but not countypov yet. Maybe this year there will be a new update which I can include when it's available.