acs12: American Community Survey, 2012

In openintro: Data Sets and Supplemental Functions from 'OpenIntro' Textbooks and Labs

American Community Survey, 2012

Description

Results from the US Census American Community Survey, 2012.

Usage

acs12

Format

A data frame with 2000 observations on the following 13 variables.

income

Annual income.

employment

Employment status.

hrs_work

Hours worked per week.

race

Race.

age

Age, in years.

gender

Gender.

citizen

Whether the person is a U.S. citizen.

time_to_work

Travel time to work, in minutes.

lang

Language spoken at home.

married

Whether the person is married.

edu

Education level.

disability

Whether the person is disabled.

birth_qrtr

The quarter of the year that the person was born, e.g. Jan thru Mar.

Source

https://www.census.gov/programs-surveys/acs

Examples

library(dplyr)
library(ggplot2)
library(broom)

# employed only
acs12_emp <- acs12 %>%
  filter(
    age >= 30, age <= 60,
    employment == "employed",
    income > 0
  )

# linear model
ggplot(acs12_emp, mapping = aes(x = age, y = income)) +
  geom_point() +
  geom_smooth(method = "lm")

lm(income ~ age, data = acs12_emp) %>%
  tidy()

# log-transormed model
ggplot(acs12_emp, mapping = aes(x = age, y = log(income))) +
  geom_point() +
  geom_smooth(method = "lm")

lm(log(income) ~ age, data = acs12_emp) %>%
  tidy()

openintro documentation built on Sept. 1, 2022, 9:06 a.m.