A sample of categorical variables from the General Social survey
Format
- year
year of survey, 2000--2014 (every other year)
- age
age. Maximum age truncated to 89.
- marital
marital status
- race
race
- rincome
reported income
- partyid
party affiliation
- relig
religion
- denom
denomination
- tvhours
hours per day watching tv
Source
Downloaded from https://gssdataexplorer.norc.org/.
Examples
gss_cat
#> # A tibble: 21,483 × 9
#> year marital age race rincome partyid relig denom tvhours
#> <int> <fct> <int> <fct> <fct> <fct> <fct> <fct> <int>
#> 1 2000 Never married 26 White $8000 to 9… Ind,ne… Prot… Sout… 12
#> 2 2000 Divorced 48 White $8000 to 9… Not st… Prot… Bapt… NA
#> 3 2000 Widowed 67 White Not applic… Indepe… Prot… No d… 2
#> 4 2000 Never married 39 White Not applic… Ind,ne… Orth… Not … 4
#> 5 2000 Divorced 25 White Not applic… Not st… None Not … 1
#> 6 2000 Married 25 White $20000 - 2… Strong… Prot… Sout… NA
#> 7 2000 Never married 36 White $25000 or … Not st… Chri… Not … 3
#> 8 2000 Divorced 44 White $7000 to 7… Ind,ne… Prot… Luth… NA
#> 9 2000 Married 44 White $25000 or … Not st… Prot… Other 0
#> 10 2000 Married 47 White $25000 or … Strong… Prot… Sout… 3
#> # ℹ 21,473 more rows
fct_count(gss_cat$relig)
#> # A tibble: 16 × 2
#> f n
#> <fct> <int>
#> 1 No answer 93
#> 2 Don't know 15
#> 3 Inter-nondenominational 109
#> 4 Native american 23
#> 5 Christian 689
#> 6 Orthodox-christian 95
#> 7 Moslem/islam 104
#> 8 Other eastern 32
#> 9 Hinduism 71
#> 10 Buddhism 147
#> 11 Other 224
#> 12 None 3523
#> 13 Jewish 388
#> 14 Catholic 5124
#> 15 Protestant 10846
#> 16 Not applicable 0
fct_count(fct_lump(gss_cat$relig))
#> # A tibble: 2 × 2
#> f n
#> <fct> <int>
#> 1 Protestant 10846
#> 2 Other 10637