gerrymander {usdata}

Gerrymander

Description

A dataset on gerrymandering and its influence on House elections. The data set was originally built by Jeff Whitmer.

Usage

gerrymander

Format

A data frame with 435 rows and 12 variables:

district

Congressional district.

last_name

Last name of 2016 election winner.

first_name

First name of 2016 election winnner.

party16

Political party of 2016 election winner.

clinton16

Percent of vote received by Clinton in 2016 Presidential Election.

trump16

Percent of vote received by Trump in 2016 Presidential Election.

dem16

Did a Democrat win the 2016 House election. Levels of 1 (yes) and 0 (no).

state

State the Representative is from.

party18

Political Party of the 2018 election winner.

dem18

Did a Democrat win the 2018 House election. Levels of 1 (yes) and 0 (no).

flip18

Did a Democrat flip the seat in the 2018 election? Levels of 1 (yes) and 0 (no).

gerry

Categorical variable for prevalence of gerrymandering with levels of low, mid and high.

Source

Washington Post

Examples

library(ggplot2)
library(dplyr)
ggplot(gerrymander |> filter(gerry != "mid"), aes(clinton16, dem16, color = gerry)) +
  geom_jitter(height = 0.05, size = 3, shape = 1) +
  geom_smooth(method = "glm", method.args = list(family = "binomial"), se = FALSE) +
  scale_color_manual(values = c("purple", "orange")) +
  labs(
    title = "Logistic Regression of 2016 House Elections",
    subtitle = "by Congressional District",
    x = "Percent of Presidential Vote Won by Clinton",
    y = "Seat Won by Democrat Candidate",
    color = "Gerrymandering"
  )