The goal of ipumseasyr is to ease access to the
IPUMS data (especially
NHGIS data) with easy-to-use wrappers for the
{ipumsr} package.
You can install the development version of ipumseasyr from GitHub:
# pak::pkg_install("elipousson/ipumseasyr")library(ipumseasyr)Define an extract without submitting it:
state_population_extract <- define_nhgis_ts_extract(
year = seq(1990, 2010, by = 10),
tables = "CL8",
geography = "state"
)
state_population_extract
#> Unsubmitted IPUMS NHGIS extract
#> Description:
#>
#> Time Series Table: CL8
#> Geog Levels: state
#> Years: 1990, 2000, 2010Get an extract (using an extract from my extract history):
nhgis_extracts <- get_nhgis_extract_history()
withr::with_tempdir({
state_population <- get_nhgis_ts_data(
extract = nhgis_extracts[[1]]
)
dplyr::glimpse(state_population)
})
#> Successfully submitted IPUMS NHGIS extract number 30
#> Checking extract status...
#> Waiting 10 seconds...
#> Checking extract status...
#> Waiting 20 seconds...
#> Checking extract status...
#> IPUMS NHGIS extract 30 is ready to download.
#> | | | 0% | |==== | 6% | |========== | 15% | |=================================== | 50% | |======================================================================| 100%
#> Data file saved to /private/var/folders/3f/50m42dx1333_dfqb5772j6_40000gn/T/RtmpUu23eI/file450974b29832/nhgis0030_csv.zip
#> Use of data from NHGIS is subject to conditions including that users should cite the data appropriately. Use command `ipums_conditions()` for more details.
#> Rows: 9419 Columns: 10
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (8): GISJOIN, STATE, STATEFP, STATENH, COUNTY, COUNTYFP, COUNTYNH, NAME
#> dbl (2): YEAR, A00AA
#>
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> Use of data from NHGIS is subject to conditions including that users should cite the data appropriately. Use command `ipums_conditions()` for more details.
#>
#> Rows: 153 Columns: 7
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (5): GISJOIN, STATE, STATEFP, STATENH, NAME
#> dbl (2): YEAR, A00AA
#>
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> Rows: 9,572
#> Columns: 11
#> $ filename <chr> "nhgis0030_csv/nhgis0030_ts_nominal_county.csv", "nhgis0030_c…
#> $ GISJOIN <chr> "G0100010", "G0100030", "G0100050", "G0100070", "G0100090", "…
#> $ YEAR <dbl> 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1…
#> $ STATE <chr> "Alabama", "Alabama", "Alabama", "Alabama", "Alabama", "Alaba…
#> $ STATEFP <chr> "01", "01", "01", "01", "01", "01", "01", "01", "01", "01", "…
#> $ STATENH <chr> "010", "010", "010", "010", "010", "010", "010", "010", "010"…
#> $ COUNTY <chr> "Autauga County", "Baldwin County", "Barbour County", "Bibb C…
#> $ COUNTYFP <chr> "001", "003", "005", "007", "009", "011", "013", "015", "017"…
#> $ COUNTYNH <chr> "0010", "0030", "0050", "0070", "0090", "0110", "0130", "0150…
#> $ NAME <chr> "AUTAUGA COUNTY", "BALDWIN COUNTY", "BARBOUR COUNTY", "BIBB C…
#> $ A00AA <dbl> 32259, 78556, 24756, 15723, 36459, 10596, 21680, 119761, 3919…