get_acs_data: Returns a list representing American Community Survey (ACS)...
In choroplethr: Simplify the Creation of Choropleth Maps in R

get_acs_data

R Documentation

Returns a list representing American Community Survey (ACS) estimates

Description

Given a map, ACS tableId, endyear and span. Prompts user for the column id if there are multiple tables. The first element of the list is a data.frame with estimates. The second element is the ACS title of the column. Requires the acs package to be installed, and a Census API Key to be set with the acs's api.key.install function. Census API keys can be obtained at http://api.census.gov/data/key_signup.html.

Usage

get_acs_data(
  tableId,
  map,
  endyear = 2012,
  span = 5,
  column_idx = -1,
  include_moe = FALSE
)

Arguments

`tableId`	The id of an ACS table
`map`	The map you want to use. Must be one of "state", "county" or "zip".
`endyear`	The end year of the survey to use. See acs.fetch (?acs.fetch) and http://1.usa.gov/1geFSSj for details.
`span`	The span of time to use. See acs.fetch and http://1.usa.gov/1geFSSj for details. on the same longitude and latitude map to scale. This variable is only checked when the "states" variable is equal to all 50 states.
`column_idx`	The optional column id of the table to use. If not specified and the table has multiple columns, you will be prompted for a column id.
`include_moe`	Whether to include the 90 percent margin of error.

Examples

## Not run: 
library(Hmisc) # for cut2
# States with greater than 1M residents
df       = get_acs_data("B01003", "state")[[1]] # population
df$value = cut2(df$value, cuts=c(0,1000000,Inf))
state_choropleth(df, title="States with a population over 1M", legend="Population")

# Counties with greater than or greater than 1M residents
df       = get_acs_data("B01003", "county")[[1]] # population
df$value = cut2(df$value, cuts=c(0,1000000,Inf))
county_choropleth(df, title="Counties with a population over 1M", legend="Population")

## End(Not run)

choroplethr documentation built on May 29, 2024, 1:20 a.m.