American Community Survey - Computer Presence

Summary data of Iowa American Community Survey responses by computer presence and internet subscription status. Each row represents a combination of variables and the households variable representing the number of households estimated to be associated with that variable combination.

acs

Format

A data frame with 99 rows and 9 variables:

geography_id: geographic ID used by the U.S. census for the location associated with this record
type: The type of location associated with this record. Categories are state, county, place, and tract
name: Name of the location
variable: Variable ID identified by the U.S. Census Bureau
variable_description: Description of the variable
computer_present: Classifies if a computer is present in those households. Categories are total, yes, and no
internet_subscription: Classifies what kind of internet subscription is present in those households. Categories are total, total w/computer, broadband, dial-up, and none
data_collection_period: Period in which the data was collected
data_collection_end_date: The date in which the data was done being collected
households: The number of households estimated to have the specified characteristics in the record
row_id: Unique ID associated with the record
geometry: sf point object of geographic location

Source

https://data.iowa.gov/Utilities-Telecommunications/Iowa-Households-by-Presence-of-a-Computer-and-Type/gz3j-hzab

Examples

# county map of iowa in ggplot2
library(ggplot2)
#> Warning: package ‘ggplot2’ was built under R version 4.0.2
library(dplyr) # for the pipe
#> Warning: package ‘dplyr’ was built under R version 4.0.2
#> 
#> Attaching package: ‘dplyr’
#> The following objects are masked from ‘package:stats’:
#> 
#>     filter, lag
#> The following objects are masked from ‘package:base’:
#> 
#>     intersect, setdiff, setequal, union
library(ggthemes)
#> Warning: package ‘ggthemes’ was built under R version 4.0.2

ia_counties %>%
  ggplot() + geom_sf(aes(fill = acres_sf)) +
  theme_map()

# leaflet map
library(leaflet)
library(sf)
#> Warning: package ‘sf’ was built under R version 4.0.2
#> Linking to GEOS 3.8.1, GDAL 3.1.4, PROJ 6.3.1
ia_counties %>%
  leaflet() %>%
    addTiles() %>%
    addPolygons()