El objetivo es establecer qué contiene la base, cuál es su unidad de análisis y cuál es la calidad inicial de la información.
Se prepara el entorno de análisis mediante la instalación y activación de los paquetes requeridos. Se incorpora adicionalmente
plotlypara generar visualizaciones interactivas, manteniendo el análisis dentro del alcance exploratorio.
# Instalación de paquetes
paquetes <- c("tidyverse", "ggplot2", "dplyr", "skimr",
"janitor", "plotly")
instalados <- rownames(installed.packages())
for (paquete in paquetes) {
if (!(paquete %in% instalados)) {
install.packages(paquete)
}
}
# Activación de paquetes
library(tidyverse)
library(ggplot2)
library(dplyr)
library(skimr)
library(janitor)
library(plotly)# Importación de la base de datos
datos <- read_csv("brfss2020.csv")
# Limpieza inicial de nombres
datos <- clean_names(datos)
# Visualización inicial
head(datos)La base BRFSS 2020 contiene información individual de una población encuestada, lo que permite establecer como unidad de análisis a la persona participante. La amplitud de la base permite explorar simultáneamente variables relacionadas con estado de salud, utilización y acceso a servicios, comportamientos y características sociodemográficas.
# Número de registros y variables
numero_registros <- nrow(datos)
numero_variables <- ncol(datos)
numero_registros## [1] 401958## [1] 279## spc_tbl_ [401,958 × 279] (S3: spec_tbl_df/tbl_df/tbl/data.frame)
## $ state : num [1:401958] 1 1 1 1 1 1 1 1 1 1 ...
## $ fmonth : num [1:401958] 1 1 1 1 1 1 1 1 1 1 ...
## $ idate : num [1:401958] 1042020 2072020 1232020 1092020 1042020 ...
## $ imonth : num [1:401958] 1 2 1 1 1 1 1 1 1 1 ...
## $ iday : num [1:401958] 4 7 23 9 4 9 9 29 30 4 ...
## $ iyear : num [1:401958] 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 ...
## $ dispcode: num [1:401958] 1100 1200 1100 1100 1100 1100 1200 1200 1100 1100 ...
## $ seqno : num [1:401958] 2.02e+09 2.02e+09 2.02e+09 2.02e+09 2.02e+09 ...
## $ psu : num [1:401958] 2.02e+09 2.02e+09 2.02e+09 2.02e+09 2.02e+09 ...
## $ ctelenm1: num [1:401958] 1 1 1 1 1 1 1 1 1 1 ...
## $ pvtresd1: num [1:401958] 1 1 1 1 1 1 1 1 1 1 ...
## $ colghous: logi [1:401958] NA NA NA NA NA NA ...
## $ statere1: num [1:401958] 1 1 1 1 1 1 1 1 1 1 ...
## $ celphone: num [1:401958] 2 2 2 2 2 2 2 2 2 2 ...
## $ ladult1 : num [1:401958] 1 1 1 1 1 1 1 1 1 1 ...
## $ colgsex : logi [1:401958] NA NA NA NA NA NA ...
## $ numadult: num [1:401958] 1 1 1 1 1 2 1 1 3 1 ...
## $ landsex : num [1:401958] 2 2 2 2 2 NA 2 2 NA 2 ...
## $ nummen : num [1:401958] 0 0 0 0 0 1 0 0 1 0 ...
## $ numwomen: num [1:401958] 1 1 1 1 1 1 1 1 2 1 ...
## $ respslct: num [1:401958] NA NA NA NA NA NA NA NA NA NA ...
## $ safetime: num [1:401958] NA NA NA NA NA NA NA NA NA NA ...
## $ ctelnum1: num [1:401958] NA NA NA NA NA NA NA NA NA NA ...
## $ cellfon5: num [1:401958] NA NA NA NA NA NA NA NA NA NA ...
## $ cadult1 : num [1:401958] NA NA NA NA NA NA NA NA NA NA ...
## $ cellsex : num [1:401958] NA NA NA NA NA NA NA NA NA NA ...
## $ pvtresd3: num [1:401958] NA NA NA NA NA NA NA NA NA NA ...
## $ cclghous: num [1:401958] NA NA NA NA NA NA NA NA NA NA ...
## $ cstate1 : num [1:401958] NA NA NA NA NA NA NA NA NA NA ...
## $ landline: num [1:401958] NA NA NA NA NA NA NA NA NA NA ...
## $ hhadult : num [1:401958] NA NA NA NA NA NA NA NA NA NA ...
## $ sexvar : num [1:401958] 2 2 2 2 2 1 2 2 2 2 ...
## $ genhlth : num [1:401958] 2 3 3 1 2 4 3 4 2 4 ...
## $ physhlth: num [1:401958] 3 88 88 88 88 20 88 15 28 6 ...
## $ menthlth: num [1:401958] 30 88 88 88 88 30 88 10 88 88 ...
## $ poorhlth: num [1:401958] 3 NA NA NA NA 88 NA 88 2 88 ...
## $ hlthpln1: num [1:401958] 2 1 1 1 1 1 1 1 1 1 ...
## $ persdoc2: num [1:401958] 3 1 1 3 1 1 1 2 1 2 ...
## $ medcost : num [1:401958] 1 1 2 2 2 2 2 2 2 2 ...
## $ checkup1: num [1:401958] 4 1 1 2 1 2 1 1 1 1 ...
## $ exerany2: num [1:401958] 1 1 1 2 1 1 2 1 1 2 ...
## $ sleptim1: num [1:401958] 5 7 7 6 7 8 6 6 8 12 ...
## $ cvdinfr4: num [1:401958] 2 2 2 2 2 2 2 2 2 2 ...
## $ cvdcrhd4: num [1:401958] 2 2 2 2 2 2 2 2 2 1 ...
## $ cvdstrk3: num [1:401958] 2 2 2 2 1 2 2 2 2 2 ...
## $ asthma3 : num [1:401958] 1 1 2 2 2 1 2 2 2 2 ...
## $ asthnow : num [1:401958] 1 2 NA NA NA 1 NA NA NA NA ...
## $ chcscncr: num [1:401958] 1 2 2 2 2 2 1 2 2 2 ...
## $ chcocncr: num [1:401958] 1 2 1 2 2 2 1 1 2 2 ...
## $ chccopd2: num [1:401958] 1 2 2 2 2 1 2 2 2 2 ...
## $ havarth4: num [1:401958] 1 1 1 2 2 1 2 1 2 1 ...
## $ addepev3: num [1:401958] 1 1 2 2 2 2 2 1 2 2 ...
## $ chckdny2: num [1:401958] 2 2 2 2 2 2 2 2 2 2 ...
## $ diabete4: num [1:401958] 1 3 3 3 3 1 3 1 3 3 ...
## $ diabage3: num [1:401958] 35 NA NA NA NA 98 NA 25 NA NA ...
## $ lastden4: num [1:401958] 1 1 1 7 7 3 1 1 1 4 ...
## $ rmvteth4: num [1:401958] 2 1 7 1 8 1 1 7 8 7 ...
## $ marital : num [1:401958] 2 3 1 3 3 4 1 1 2 3 ...
## $ educa : num [1:401958] 6 6 5 4 6 4 4 4 6 2 ...
## $ renthom1: num [1:401958] 1 1 1 1 2 3 1 1 1 1 ...
## $ numhhol3: num [1:401958] 2 1 2 9 2 2 1 2 1 2 ...
## $ numphon3: num [1:401958] NA 1 NA NA NA NA 1 NA 1 NA ...
## $ cpdemo1b: num [1:401958] 1 1 1 9 8 1 2 1 2 8 ...
## $ veteran3: num [1:401958] 2 2 2 2 2 2 2 2 2 2 ...
## $ employ1 : num [1:401958] 4 7 7 5 7 8 7 7 1 7 ...
## $ children: num [1:401958] 88 88 88 88 88 88 88 88 2 88 ...
## $ income2 : num [1:401958] 1 99 7 99 77 5 6 5 6 99 ...
## $ pregnant: num [1:401958] NA NA NA NA NA NA NA NA 2 NA ...
## $ weight2 : num [1:401958] 106 170 7777 9999 126 ...
## $ height3 : num [1:401958] 507 504 508 9999 506 ...
## $ deaf : num [1:401958] 2 2 2 2 2 2 2 2 2 2 ...
## $ blind : num [1:401958] 2 2 2 2 2 2 2 2 2 2 ...
## $ decide : num [1:401958] 1 2 2 2 2 2 1 2 2 2 ...
## $ diffwalk: num [1:401958] 2 2 2 2 2 2 2 2 1 1 ...
## $ diffdres: num [1:401958] 2 2 2 2 2 2 2 2 2 2 ...
## $ diffalon: num [1:401958] 2 2 2 2 2 1 2 2 2 2 ...
## $ smoke100: num [1:401958] 1 NA 2 2 2 1 2 1 2 1 ...
## $ smokday2: num [1:401958] 1 NA NA NA NA 3 NA 1 NA 3 ...
## $ stopsmk2: num [1:401958] 2 NA NA NA NA NA NA 2 NA NA ...
## $ lastsmk2: num [1:401958] NA NA NA NA NA 6 NA NA NA 7 ...
## $ usenow3 : num [1:401958] 3 NA 3 3 3 1 3 3 3 3 ...
## $ alcday5 : num [1:401958] 888 NA 888 888 888 888 888 NA 888 888 ...
## $ avedrnk3: num [1:401958] NA NA NA NA NA NA NA NA NA NA ...
## $ drnk3ge5: num [1:401958] NA NA NA NA NA NA NA NA NA NA ...
## $ maxdrnks: num [1:401958] NA NA NA NA NA NA NA NA NA NA ...
## $ flushot7: num [1:401958] 2 NA 1 2 1 1 1 NA 2 1 ...
## $ flshtmy3: num [1:401958] NA NA 102019 NA 102019 ...
## $ shingle2: num [1:401958] 2 NA 2 2 1 2 2 NA NA 2 ...
## $ pneuvac4: num [1:401958] 2 NA 2 2 1 2 1 NA 2 1 ...
## $ fall12mn: num [1:401958] 88 NA 88 88 88 2 88 NA NA 88 ...
## $ fallinj4: num [1:401958] NA NA NA NA NA 88 NA NA NA NA ...
## $ seatbelt: num [1:401958] 1 NA 1 1 1 2 1 NA 1 1 ...
## $ drnkdri2: num [1:401958] NA NA NA NA NA NA NA NA NA NA ...
## $ hadmam : num [1:401958] 1 NA 1 2 1 NA 1 NA 2 1 ...
## $ howlong : num [1:401958] 3 NA 1 NA 1 NA 1 NA NA 3 ...
## $ hadpap2 : num [1:401958] 1 NA 1 1 2 NA 1 NA 1 1 ...
## $ lastpap2: num [1:401958] 4 NA 1 7 NA NA 5 NA 1 3 ...
## $ hpvtest : num [1:401958] 2 NA 2 2 7 NA 7 NA 7 2 ...
## $ hplsttst: num [1:401958] NA NA NA NA NA NA NA NA NA NA ...
## [list output truncated]
## - attr(*, "spec")=
## .. cols(
## .. `_STATE` = col_double(),
## .. FMONTH = col_double(),
## .. IDATE = col_double(),
## .. IMONTH = col_double(),
## .. IDAY = col_double(),
## .. IYEAR = col_double(),
## .. DISPCODE = col_double(),
## .. SEQNO = col_double(),
## .. `_PSU` = col_double(),
## .. CTELENM1 = col_double(),
## .. PVTRESD1 = col_double(),
## .. COLGHOUS = col_logical(),
## .. STATERE1 = col_double(),
## .. CELPHONE = col_double(),
## .. LADULT1 = col_double(),
## .. COLGSEX = col_logical(),
## .. NUMADULT = col_double(),
## .. LANDSEX = col_double(),
## .. NUMMEN = col_double(),
## .. NUMWOMEN = col_double(),
## .. RESPSLCT = col_double(),
## .. SAFETIME = col_double(),
## .. CTELNUM1 = col_double(),
## .. CELLFON5 = col_double(),
## .. CADULT1 = col_double(),
## .. CELLSEX = col_double(),
## .. PVTRESD3 = col_double(),
## .. CCLGHOUS = col_double(),
## .. CSTATE1 = col_double(),
## .. LANDLINE = col_double(),
## .. HHADULT = col_double(),
## .. SEXVAR = col_double(),
## .. GENHLTH = col_double(),
## .. PHYSHLTH = col_double(),
## .. MENTHLTH = col_double(),
## .. POORHLTH = col_double(),
## .. HLTHPLN1 = col_double(),
## .. PERSDOC2 = col_double(),
## .. MEDCOST = col_double(),
## .. CHECKUP1 = col_double(),
## .. EXERANY2 = col_double(),
## .. SLEPTIM1 = col_double(),
## .. CVDINFR4 = col_double(),
## .. CVDCRHD4 = col_double(),
## .. CVDSTRK3 = col_double(),
## .. ASTHMA3 = col_double(),
## .. ASTHNOW = col_double(),
## .. CHCSCNCR = col_double(),
## .. CHCOCNCR = col_double(),
## .. CHCCOPD2 = col_double(),
## .. HAVARTH4 = col_double(),
## .. ADDEPEV3 = col_double(),
## .. CHCKDNY2 = col_double(),
## .. DIABETE4 = col_double(),
## .. DIABAGE3 = col_double(),
## .. LASTDEN4 = col_double(),
## .. RMVTETH4 = col_double(),
## .. MARITAL = col_double(),
## .. EDUCA = col_double(),
## .. RENTHOM1 = col_double(),
## .. NUMHHOL3 = col_double(),
## .. NUMPHON3 = col_double(),
## .. CPDEMO1B = col_double(),
## .. VETERAN3 = col_double(),
## .. EMPLOY1 = col_double(),
## .. CHILDREN = col_double(),
## .. INCOME2 = col_double(),
## .. PREGNANT = col_double(),
## .. WEIGHT2 = col_double(),
## .. HEIGHT3 = col_double(),
## .. DEAF = col_double(),
## .. BLIND = col_double(),
## .. DECIDE = col_double(),
## .. DIFFWALK = col_double(),
## .. DIFFDRES = col_double(),
## .. DIFFALON = col_double(),
## .. SMOKE100 = col_double(),
## .. SMOKDAY2 = col_double(),
## .. STOPSMK2 = col_double(),
## .. LASTSMK2 = col_double(),
## .. USENOW3 = col_double(),
## .. ALCDAY5 = col_double(),
## .. AVEDRNK3 = col_double(),
## .. DRNK3GE5 = col_double(),
## .. MAXDRNKS = col_double(),
## .. FLUSHOT7 = col_double(),
## .. FLSHTMY3 = col_double(),
## .. SHINGLE2 = col_double(),
## .. PNEUVAC4 = col_double(),
## .. FALL12MN = col_double(),
## .. FALLINJ4 = col_double(),
## .. SEATBELT = col_double(),
## .. DRNKDRI2 = col_double(),
## .. HADMAM = col_double(),
## .. HOWLONG = col_double(),
## .. HADPAP2 = col_double(),
## .. LASTPAP2 = col_double(),
## .. HPVTEST = col_double(),
## .. HPLSTTST = col_double(),
## .. HADHYST2 = col_double(),
## .. PCPSAAD3 = col_double(),
## .. PCPSADI1 = col_double(),
## .. PCPSARE1 = col_double(),
## .. PSATEST1 = col_double(),
## .. PSATIME = col_double(),
## .. PCPSARS1 = col_double(),
## .. COLNSCPY = col_double(),
## .. COLNTEST = col_double(),
## .. SIGMSCPY = col_double(),
## .. SIGMTEST = col_double(),
## .. BLDSTOL1 = col_double(),
## .. LSTBLDS4 = col_double(),
## .. STOOLDNA = col_double(),
## .. SDNATEST = col_double(),
## .. VIRCOLON = col_double(),
## .. VCLNTEST = col_double(),
## .. HIVTST7 = col_double(),
## .. HIVTSTD3 = col_double(),
## .. HIVRISK5 = col_double(),
## .. PDIABTST = col_double(),
## .. PREDIAB1 = col_double(),
## .. INSULIN1 = col_double(),
## .. BLDSUGAR = col_double(),
## .. FEETCHK3 = col_double(),
## .. DOCTDIAB = col_double(),
## .. CHKHEMO3 = col_double(),
## .. FEETCHK = col_double(),
## .. EYEEXAM1 = col_double(),
## .. DIABEYE = col_double(),
## .. DIABEDU = col_double(),
## .. TOLDCFS = col_logical(),
## .. HAVECFS = col_logical(),
## .. WORKCFS = col_logical(),
## .. TOLDHEPC = col_double(),
## .. TRETHEPC = col_logical(),
## .. PRIRHEPC = col_logical(),
## .. HAVEHEPC = col_logical(),
## .. HAVEHEPB = col_double(),
## .. MEDSHEPB = col_double(),
## .. HLTHCVR1 = col_double(),
## .. CIMEMLOS = col_double(),
## .. CDHOUSE = col_double(),
## .. CDASSIST = col_double(),
## .. CDHELP = col_double(),
## .. CDSOCIAL = col_double(),
## .. CDDISCUS = col_double(),
## .. CAREGIV1 = col_double(),
## .. CRGVREL4 = col_double(),
## .. CRGVLNG1 = col_double(),
## .. CRGVHRS1 = col_double(),
## .. CRGVPRB3 = col_double(),
## .. CRGVALZD = col_double(),
## .. CRGVPER1 = col_double(),
## .. CRGVHOU1 = col_double(),
## .. CRGVEXPT = col_double(),
## .. ECIGARET = col_double(),
## .. ECIGNOW = col_double(),
## .. MARIJAN1 = col_double(),
## .. USEMRJN2 = col_double(),
## .. RSNMRJN1 = col_double(),
## .. LCSFIRST = col_double(),
## .. LCSLAST = col_double(),
## .. LCSNUMCG = col_double(),
## .. LCSCTSCN = col_double(),
## .. CNCRDIFF = col_double(),
## .. CNCRAGE = col_double(),
## .. CNCRTYP1 = col_double(),
## .. CSRVTRT3 = col_double(),
## .. CSRVDOC1 = col_double(),
## .. CSRVSUM = col_double(),
## .. CSRVRTRN = col_double(),
## .. CSRVINST = col_double(),
## .. CSRVINSR = col_double(),
## .. CSRVDEIN = col_double(),
## .. CSRVCLIN = col_double(),
## .. CSRVPAIN = col_double(),
## .. CSRVCTL2 = col_double(),
## .. PCPSADE1 = col_double(),
## .. PCDMDEC1 = col_logical(),
## .. HPVADVC4 = col_double(),
## .. HPVADSHT = col_double(),
## .. TETANUS1 = col_double(),
## .. IMFVPLA1 = col_double(),
## .. BIRTHSEX = col_double(),
## .. SOMALE = col_double(),
## .. SOFEMALE = col_double(),
## .. TRNSGNDR = col_double(),
## .. ACEDEPRS = col_double(),
## .. ACEDRINK = col_double(),
## .. ACEDRUGS = col_double(),
## .. ACEPRISN = col_double(),
## .. ACEDIVRC = col_double(),
## .. ACEPUNCH = col_double(),
## .. ACEHURT1 = col_double(),
## .. ACESWEAR = col_double(),
## .. ACETOUCH = col_double(),
## .. ACETTHEM = col_double(),
## .. ACEHVSEX = col_double(),
## .. RCSGENDR = col_double(),
## .. RCSRLTN2 = col_double(),
## .. CASTHDX2 = col_double(),
## .. CASTHNO2 = col_double(),
## .. QSTVER = col_double(),
## .. QSTLANG = col_double(),
## .. `_METSTAT` = col_double(),
## .. `_URBSTAT` = col_double(),
## .. MSCODE = col_double(),
## .. `_STSTR` = col_double(),
## .. `_STRWT` = col_double(),
## .. `_RAWRAKE` = col_double(),
## .. `_WT2RAKE` = col_double(),
## .. `_IMPRACE` = col_double(),
## .. `_CHISPNC` = col_double(),
## .. `_CRACE1` = col_double(),
## .. `_CPRACE` = col_double(),
## .. `_CLLCPWT` = col_double(),
## .. `_DUALUSE` = col_double(),
## .. `_DUALCOR` = col_double(),
## .. `_LLCPWT2` = col_double(),
## .. `_LLCPWT` = col_double(),
## .. `_RFHLTH` = col_double(),
## .. `_PHYS14D` = col_double(),
## .. `_MENT14D` = col_double(),
## .. `_HCVU651` = col_double(),
## .. `_TOTINDA` = col_double(),
## .. `_MICHD` = col_double(),
## .. `_LTASTH1` = col_double(),
## .. `_CASTHM1` = col_double(),
## .. `_ASTHMS1` = col_double(),
## .. `_DRDXAR2` = col_double(),
## .. `_EXTETH3` = col_double(),
## .. `_ALTETH3` = col_double(),
## .. `_DENVST3` = col_double(),
## .. `_PRACE1` = col_double(),
## .. `_MRACE1` = col_double(),
## .. `_HISPANC` = col_double(),
## .. `_RACE` = col_double(),
## .. `_RACEG21` = col_double(),
## .. `_RACEGR3` = col_double(),
## .. `_RACEPRV` = col_double(),
## .. `_SEX` = col_double(),
## .. `_AGEG5YR` = col_double(),
## .. `_AGE65YR` = col_double(),
## .. `_AGE80` = col_double(),
## .. `_AGE_G` = col_double(),
## .. HTIN4 = col_double(),
## .. HTM4 = col_double(),
## .. WTKG3 = col_double(),
## .. `_BMI5` = col_double(),
## .. `_BMI5CAT` = col_double(),
## .. `_RFBMI5` = col_double(),
## .. `_CHLDCNT` = col_double(),
## .. `_EDUCAG` = col_double(),
## .. `_INCOMG` = col_double(),
## .. `_SMOKER3` = col_double(),
## .. `_RFSMOK3` = col_double(),
## .. DRNKANY5 = col_double(),
## .. DROCDY3_ = col_double(),
## .. `_RFBING5` = col_double(),
## .. `_DRNKWK1` = col_double(),
## .. `_RFDRHV7` = col_double(),
## .. `_FLSHOT7` = col_double(),
## .. `_PNEUMO3` = col_double(),
## .. `_RFSEAT2` = col_double(),
## .. `_RFSEAT3` = col_double(),
## .. `_DRNKDRV` = col_double(),
## .. `_RFMAM22` = col_double(),
## .. `_MAM5023` = col_double(),
## .. `_RFPAP35` = col_double(),
## .. `_RFPSA23` = col_double(),
## .. `_CLNSCPY` = col_double(),
## .. `_SGMSCPY` = col_double(),
## .. `_SGMS10Y` = col_double(),
## .. `_RFBLDS4` = col_double(),
## .. `_STOLDNA` = col_double(),
## .. `_VIRCOLN` = col_double(),
## .. `_SBONTIM` = col_double(),
## .. `_CRCREC1` = col_double(),
## .. `_AIDTST4` = col_double()
## .. )
## - attr(*, "problems")=<externalptr>## state fmonth idate imonth
## Min. : 1.00 Min. : 1.000 Min. : 1012021 Min. : 1.000
## 1st Qu.:18.00 1st Qu.: 3.000 1st Qu.: 3262020 1st Qu.: 3.000
## Median :29.00 Median : 6.000 Median : 6252020 Median : 6.000
## Mean :30.01 Mean : 5.959 Mean : 6662701 Mean : 6.511
## 3rd Qu.:41.00 3rd Qu.: 9.000 3rd Qu.:10052020 3rd Qu.:10.000
## Max. :72.00 Max. :12.000 Max. :12312020 Max. :12.000
##
## iday iyear dispcode seqno
## Min. : 1.00 Min. :2020 Min. :1100 Min. :2.02e+09
## 1st Qu.: 8.00 1st Qu.:2020 1st Qu.:1100 1st Qu.:2.02e+09
## Median :15.00 Median :2020 Median :1100 Median :2.02e+09
## Mean :15.01 Mean :2020 Mean :1118 Mean :2.02e+09
## 3rd Qu.:22.00 3rd Qu.:2020 3rd Qu.:1100 3rd Qu.:2.02e+09
## Max. :31.00 Max. :2021 Max. :1200 Max. :2.02e+09
##
## psu ctelenm1 pvtresd1 colghous
## Min. :2.02e+09 Min. :1 Min. :1 Mode:logical
## 1st Qu.:2.02e+09 1st Qu.:1 1st Qu.:1 NA's:401958
## Median :2.02e+09 Median :1 Median :1
## Mean :2.02e+09 Mean :1 Mean :1
## 3rd Qu.:2.02e+09 3rd Qu.:1 3rd Qu.:1
## Max. :2.02e+09 Max. :1 Max. :2
## NA's :277207 NA's :277207
## statere1 celphone ladult1 colgsex
## Min. :1 Min. :2 Min. :1.000 Mode:logical
## 1st Qu.:1 1st Qu.:2 1st Qu.:1.000 NA's:401958
## Median :1 Median :2 Median :1.000
## Mean :1 Mean :2 Mean :1.009
## 3rd Qu.:1 3rd Qu.:2 3rd Qu.:1.000
## Max. :1 Max. :2 Max. :2.000
## NA's :277207 NA's :277207 NA's :277207
## numadult landsex nummen numwomen
## Min. : 1.000 Min. :0.00 Min. : 0.000 Min. : 0.000
## 1st Qu.: 1.000 1st Qu.:1.00 1st Qu.: 0.000 1st Qu.: 1.000
## Median : 2.000 Median :2.00 Median : 1.000 Median : 1.000
## Mean : 1.752 Mean :1.69 Mean : 0.822 Mean : 0.993
## 3rd Qu.: 2.000 3rd Qu.:2.00 3rd Qu.: 1.000 3rd Qu.: 1.000
## Max. :18.000 Max. :9.00 Max. :18.000 Max. :18.000
## NA's :277216 NA's :350509 NA's :291536 NA's :291536
## respslct safetime ctelnum1 cellfon5
## Min. :1.00 Min. :1 Min. :1 Min. :1
## 1st Qu.:1.00 1st Qu.:1 1st Qu.:1 1st Qu.:1
## Median :2.00 Median :1 Median :1 Median :1
## Mean :1.53 Mean :1 Mean :1 Mean :1
## 3rd Qu.:2.00 3rd Qu.:1 3rd Qu.:1 3rd Qu.:1
## Max. :2.00 Max. :1 Max. :1 Max. :1
## NA's :354532 NA's :124751 NA's :124751 NA's :124751
## cadult1 cellsex pvtresd3 cclghous
## Min. :1 Min. :1.000 Min. :1.000 Min. :1
## 1st Qu.:1 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1
## Median :1 Median :2.000 Median :1.000 Median :1
## Mean :1 Mean :1.506 Mean :1.004 Mean :1
## 3rd Qu.:1 3rd Qu.:2.000 3rd Qu.:1.000 3rd Qu.:1
## Max. :1 Max. :2.000 Max. :2.000 Max. :1
## NA's :124755 NA's :124771 NA's :124752 NA's :400979
## cstate1 landline hhadult sexvar
## Min. :1.000 Min. :1.000 Min. : 1.000 Min. :1.000
## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.: 2.000 1st Qu.:1.000
## Median :1.000 Median :2.000 Median : 2.000 Median :2.000
## Mean :1.071 Mean :1.766 Mean : 2.805 Mean :1.542
## 3rd Qu.:1.000 3rd Qu.:2.000 3rd Qu.: 3.000 3rd Qu.:2.000
## Max. :2.000 Max. :9.000 Max. :99.000 Max. :2.000
## NA's :124758 NA's :124752 NA's :124753
## genhlth physhlth menthlth poorhlth
## Min. :1.000 Min. : 1.00 Min. : 1.00 Min. : 1.00
## 1st Qu.:2.000 1st Qu.:30.00 1st Qu.:15.00 1st Qu.:10.00
## Median :2.000 Median :88.00 Median :88.00 Median :88.00
## Mean :2.453 Mean :66.14 Mean :61.45 Mean :55.68
## 3rd Qu.:3.000 3rd Qu.:88.00 3rd Qu.:88.00 3rd Qu.:88.00
## Max. :9.000 Max. :99.00 Max. :99.00 Max. :99.00
## NA's :8 NA's :5 NA's :5 NA's :200343
## hlthpln1 persdoc2 medcost checkup1 exerany2
## Min. :1.00 Min. :1.00 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:1.00 1st Qu.:1.00 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:1.000
## Median :1.00 Median :1.00 Median :2.000 Median :1.000 Median :1.000
## Mean :1.12 Mean :1.45 Mean :1.929 Mean :1.462 Mean :1.249
## 3rd Qu.:1.00 3rd Qu.:1.00 3rd Qu.:2.000 3rd Qu.:1.000 3rd Qu.:1.000
## Max. :9.00 Max. :9.00 Max. :9.000 Max. :9.000 Max. :9.000
## NA's :3 NA's :3 NA's :3 NA's :5 NA's :3
## sleptim1 cvdinfr4 cvdcrhd4 cvdstrk3
## Min. : 1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.: 6.000 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.000
## Median : 7.000 Median :2.000 Median :2.000 Median :2.000
## Mean : 7.945 Mean :1.973 Mean :1.986 Mean :1.977
## 3rd Qu.: 8.000 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:2.000
## Max. :99.000 Max. :9.000 Max. :9.000 Max. :9.000
## NA's :3 NA's :6 NA's :3 NA's :3
## asthma3 asthnow chcscncr chcocncr
## Min. :1.000 Min. :1.00 Min. :1.000 Min. :1.000
## 1st Qu.:2.000 1st Qu.:1.00 1st Qu.:2.000 1st Qu.:2.000
## Median :2.000 Median :1.00 Median :2.000 Median :2.000
## Mean :1.884 Mean :1.44 Mean :1.927 Mean :1.925
## 3rd Qu.:2.000 3rd Qu.:2.00 3rd Qu.:2.000 3rd Qu.:2.000
## Max. :9.000 Max. :9.00 Max. :9.000 Max. :9.000
## NA's :3 NA's :347817 NA's :3 NA's :3
## chccopd2 havarth4 addepev3 chckdny2
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:2.000 1st Qu.:2.000
## Median :2.000 Median :2.000 Median :2.000 Median :2.000
## Mean :1.948 Mean :1.721 Mean :1.841 Mean :1.983
## 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:2.000
## Max. :9.000 Max. :9.000 Max. :9.000 Max. :9.000
## NA's :5 NA's :5 NA's :6 NA's :6
## diabete4 diabage3 lastden4 rmvteth4
## Min. :1.000 Min. : 1.00 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:41.00 1st Qu.:1.000 1st Qu.:1.000
## Median :3.000 Median :52.00 Median :1.000 Median :8.000
## Mean :2.763 Mean :53.17 Mean :1.729 Mean :5.022
## 3rd Qu.:3.000 3rd Qu.:62.00 3rd Qu.:2.000 3rd Qu.:8.000
## Max. :9.000 Max. :99.00 Max. :9.000 Max. :9.000
## NA's :6 NA's :349864 NA's :7 NA's :7
## marital educa renthom1 numhhol3
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:1.000 1st Qu.:4.000 1st Qu.:1.000 1st Qu.:2.000
## Median :1.000 Median :5.000 Median :1.000 Median :2.000
## Mean :2.388 Mean :4.985 Mean :1.409 Mean :1.808
## 3rd Qu.:3.000 3rd Qu.:6.000 3rd Qu.:2.000 3rd Qu.:2.000
## Max. :9.000 Max. :9.000 Max. :9.000 Max. :9.000
## NA's :12 NA's :12 NA's :15 NA's :277212
## numphon3 cpdemo1b veteran3 employ1
## Min. :1.00 Min. :1.000 Min. :1.0 Min. :1.000
## 1st Qu.:1.00 1st Qu.:1.000 1st Qu.:2.0 1st Qu.:1.000
## Median :1.00 Median :1.000 Median :2.0 Median :2.000
## Mean :1.66 Mean :1.515 Mean :1.9 Mean :3.844
## 3rd Qu.:2.00 3rd Qu.:1.000 3rd Qu.:2.0 3rd Qu.:7.000
## Max. :9.00 Max. :9.000 Max. :9.0 Max. :9.000
## NA's :371708 NA's :116 NA's :1307 NA's :2925
## children income2 pregnant weight2
## Min. : 1.00 Min. : 1.00 Min. :1.00 Min. : 50.0
## 1st Qu.: 4.00 1st Qu.: 5.00 1st Qu.:2.00 1st Qu.: 150.0
## Median :88.00 Median : 7.00 Median :2.00 Median : 180.0
## Mean :65.48 Mean :21.51 Mean :2.01 Mean : 796.7
## 3rd Qu.:88.00 3rd Qu.: 8.00 3rd Qu.:2.00 3rd Qu.: 217.0
## Max. :99.00 Max. :99.00 Max. :9.00 Max. :9999.0
## NA's :4767 NA's :7358 NA's :326368 NA's :9852
## height3 deaf blind decide
## Min. : 204 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.: 504 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.000
## Median : 507 Median :2.000 Median :2.000 Median :2.000
## Mean : 807 Mean :1.936 Mean :1.968 Mean :1.938
## 3rd Qu.: 510 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:2.000
## Max. :9999 Max. :9.000 Max. :9.000 Max. :9.000
## NA's :10824 NA's :12415 NA's :13324 NA's :14351
## diffwalk diffdres diffalon smoke100
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:1.000
## Median :2.000 Median :2.000 Median :2.000 Median :2.000
## Mean :1.873 Mean :1.976 Mean :1.951 Mean :1.632
## 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:2.000
## Max. :9.000 Max. :9.000 Max. :9.000 Max. :9.000
## NA's :15280 NA's :15892 NA's :16769 NA's :17860
## smokday2 stopsmk2 lastsmk2 usenow3
## Min. :1.000 Min. :1.0 Min. : 1.000 Min. :1.000
## 1st Qu.:2.000 1st Qu.:1.0 1st Qu.: 6.000 1st Qu.:3.000
## Median :3.000 Median :1.0 Median : 7.000 Median :3.000
## Mean :2.432 Mean :1.5 Mean : 6.824 Mean :2.962
## 3rd Qu.:3.000 3rd Qu.:2.0 3rd Qu.: 7.000 3rd Qu.:3.000
## Max. :9.000 Max. :9.0 Max. :99.000 Max. :9.000
## NA's :245324 NA's :349535 NA's :298233 NA's :18493
## alcday5 avedrnk3 drnk3ge5 maxdrnks
## Min. :101.0 Min. : 1.000 Min. : 1.00 Min. : 1.000
## 1st Qu.:202.0 1st Qu.: 1.000 1st Qu.:30.00 1st Qu.: 1.000
## Median :230.0 Median : 2.000 Median :88.00 Median : 2.000
## Mean :530.9 Mean : 4.077 Mean :66.37 Mean : 6.222
## 3rd Qu.:888.0 3rd Qu.: 3.000 3rd Qu.:88.00 3rd Qu.: 4.000
## Max. :999.0 Max. :99.000 Max. :99.00 Max. :99.000
## NA's :20927 NA's :211099 NA's :211626 NA's :212112
## flushot7 flshtmy3 shingle2 pneuvac4
## Min. :1.000 Min. : 12019 Min. :1.000 Min. :1.000
## 1st Qu.:1.000 1st Qu.: 92020 1st Qu.:1.000 1st Qu.:1.000
## Median :1.000 Median :102019 Median :2.000 Median :2.000
## Mean :1.511 Mean :138214 Mean :1.739 Mean :2.055
## 3rd Qu.:2.000 3rd Qu.:112019 3rd Qu.:2.000 3rd Qu.:2.000
## Max. :9.000 Max. :999999 Max. :9.000 Max. :9.000
## NA's :23525 NA's :205030 NA's :165874 NA's :24437
## fall12mn fallinj4 seatbelt drnkdri2
## Min. : 1.00 Min. : 1.00 Min. :1.000 Min. : 1.00
## 1st Qu.:10.00 1st Qu.: 1.00 1st Qu.:1.000 1st Qu.:88.00
## Median :88.00 Median :88.00 Median :1.000 Median :88.00
## Mean :65.78 Mean :56.65 Mean :1.259 Mean :86.01
## 3rd Qu.:88.00 3rd Qu.:88.00 3rd Qu.:1.000 3rd Qu.:88.00
## Max. :99.00 Max. :99.00 Max. :9.000 Max. :99.00
## NA's :137808 NA's :333322 NA's :25511 NA's :208430
## hadmam howlong hadpap2 lastpap2
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000
## Median :1.000 Median :1.000 Median :1.000 Median :3.000
## Mean :1.256 Mean :2.017 Mean :1.129 Mean :2.954
## 3rd Qu.:1.000 3rd Qu.:2.000 3rd Qu.:1.000 3rd Qu.:5.000
## Max. :9.000 Max. :9.000 Max. :9.000 Max. :9.000
## NA's :198438 NA's :245446 NA's :198942 NA's :215438
## hpvtest hplsttst hadhyst2 pcpsaad3
## Min. :1.00 Min. :1.00 Min. :1.000 Min. :1.00
## 1st Qu.:1.00 1st Qu.:1.00 1st Qu.:1.000 1st Qu.:1.00
## Median :2.00 Median :2.00 Median :2.000 Median :2.00
## Mean :2.95 Mean :2.95 Mean :1.766 Mean :1.75
## 3rd Qu.:7.00 3rd Qu.:5.00 3rd Qu.:2.000 3rd Qu.:2.00
## Max. :9.00 Max. :9.00 Max. :9.000 Max. :9.00
## NA's :199388 NA's :336493 NA's :201690 NA's :275393
## pcpsadi1 pcpsare1 psatest1 psatime
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.00
## 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.00
## Median :2.000 Median :2.000 Median :2.000 Median :1.00
## Mean :2.014 Mean :1.825 Mean :1.824 Mean :2.13
## 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:3.00
## Max. :9.000 Max. :9.000 Max. :9.000 Max. :9.00
## NA's :275622 NA's :275882 NA's :276043 NA's :343595
## pcpsars1 colnscpy colntest sigmscpy
## Min. :1.00 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:1.00 1st Qu.:1.000 1st Qu.:2.000 1st Qu.:2.000
## Median :1.00 Median :1.000 Median :3.000 Median :2.000
## Mean :1.83 Mean :1.339 Mean :2.944 Mean :2.139
## 3rd Qu.:2.00 3rd Qu.:2.000 3rd Qu.:4.000 3rd Qu.:2.000
## Max. :9.00 Max. :9.000 Max. :9.000 Max. :9.000
## NA's :343707 NA's :143403 NA's :220603 NA's :143927
## sigmtest bldstol1 lstblds4 stooldna
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.000
## 1st Qu.:3.00 1st Qu.:1.00 1st Qu.:1.00 1st Qu.:2.000
## Median :5.00 Median :2.00 Median :3.00 Median :2.000
## Mean :4.19 Mean :1.75 Mean :3.21 Mean :2.022
## 3rd Qu.:5.00 3rd Qu.:2.00 3rd Qu.:5.00 3rd Qu.:2.000
## Max. :9.00 Max. :9.00 Max. :9.00 Max. :9.000
## NA's :370070 NA's :144393 NA's :318862 NA's :144914
## sdnatest vircolon vclntest hivtst7
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.000
## 1st Qu.:1.00 1st Qu.:2.00 1st Qu.:2.00 1st Qu.:1.000
## Median :2.00 Median :2.00 Median :4.00 Median :2.000
## Mean :2.83 Mean :2.12 Mean :3.65 Mean :1.942
## 3rd Qu.:5.00 3rd Qu.:2.00 3rd Qu.:5.00 3rd Qu.:2.000
## Max. :9.00 Max. :9.00 Max. :9.00 Max. :9.000
## NA's :383572 NA's :145453 NA's :390737 NA's :34037
## hivtstd3 hivrisk5 pdiabtst prediab1
## Min. : 11985 Min. :1.000 Min. :1.00 Min. :1.000
## 1st Qu.: 62020 1st Qu.:2.000 1st Qu.:1.00 1st Qu.:3.000
## Median :771990 Median :2.000 Median :1.00 Median :3.000
## Mean :430216 Mean :1.996 Mean :1.65 Mean :2.751
## 3rd Qu.:777777 3rd Qu.:2.000 3rd Qu.:2.00 3rd Qu.:3.000
## Max. :999999 Max. :9.000 Max. :9.00 Max. :9.000
## NA's :285136 NA's :35932 NA's :183016 NA's :182965
## insulin1 bldsugar feetchk3 doctdiab
## Min. :1.00 Min. :101.0 Min. :101.0 Min. : 1.00
## 1st Qu.:1.00 1st Qu.:101.0 1st Qu.:101.0 1st Qu.: 2.00
## Median :2.00 Median :103.0 Median :101.0 Median : 3.00
## Mean :1.69 Mean :255.4 Mean :274.3 Mean :15.69
## 3rd Qu.:2.00 3rd Qu.:301.0 3rd Qu.:301.0 3rd Qu.: 4.00
## Max. :9.00 Max. :999.0 Max. :999.0 Max. :99.00
## NA's :388849 NA's :388850 NA's :388850 NA's :388850
## chkhemo3 feetchk eyeexam1 diabeye
## Min. : 1.00 Min. : 1.00 Min. :1.00 Min. :1.0
## 1st Qu.: 2.00 1st Qu.: 2.00 1st Qu.:2.00 1st Qu.:2.0
## Median : 3.00 Median : 4.00 Median :2.00 Median :2.0
## Mean :13.26 Mean :27.34 Mean :2.47 Mean :1.9
## 3rd Qu.: 4.00 3rd Qu.:88.00 3rd Qu.:3.00 3rd Qu.:2.0
## Max. :99.00 Max. :99.00 Max. :9.00 Max. :9.0
## NA's :388850 NA's :388925 NA's :388850 NA's :388850
## diabedu toldcfs havecfs workcfs toldhepc
## Min. :1.00 Mode:logical Mode:logical Mode:logical Min. :1.00
## 1st Qu.:1.00 NA's:401958 NA's:401958 NA's:401958 1st Qu.:2.00
## Median :1.00 Median :2.00
## Mean :1.51 Mean :2.01
## 3rd Qu.:2.00 3rd Qu.:2.00
## Max. :9.00 Max. :9.00
## NA's :388850 NA's :383151
## trethepc prirhepc havehepc havehepb medshepb
## Mode:logical Mode:logical Mode:logical Min. :1.00 Min. :1.00
## NA's:401958 NA's:401958 NA's:401958 1st Qu.:2.00 1st Qu.:2.00
## Median :2.00 Median :2.00
## Mean :2.02 Mean :1.99
## 3rd Qu.:2.00 3rd Qu.:2.00
## Max. :9.00 Max. :7.00
## NA's :383186 NA's :401807
## hlthcvr1 cimemlos cdhouse cdassist
## Min. : 1.00 Min. :1.00 Min. :1.0 Min. :1.00
## 1st Qu.: 1.00 1st Qu.:2.00 1st Qu.:3.0 1st Qu.:3.00
## Median : 3.00 Median :2.00 Median :5.0 Median :5.00
## Mean : 4.47 Mean :1.96 Mean :4.1 Mean :4.18
## 3rd Qu.: 3.00 3rd Qu.:2.00 3rd Qu.:5.0 3rd Qu.:5.00
## Max. :99.00 Max. :9.00 Max. :9.0 Max. :9.00
## NA's :362563 NA's :334120 NA's :395834 NA's :395847
## cdhelp cdsocial cddiscus caregiv1
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:1.00 1st Qu.:3.00 1st Qu.:1.00 1st Qu.:2.00
## Median :2.00 Median :5.00 Median :2.00 Median :2.00
## Mean :2.22 Mean :4.13 Mean :1.61 Mean :1.86
## 3rd Qu.:3.00 3rd Qu.:5.00 3rd Qu.:2.00 3rd Qu.:2.00
## Max. :9.00 Max. :9.00 Max. :9.00 Max. :9.00
## NA's :400293 NA's :395855 NA's :395865 NA's :371480
## crgvrel4 crgvlng1 crgvhrs1 crgvprb3
## Min. : 1.00 Min. :1.00 Min. :1.0 Min. : 1.00
## 1st Qu.: 2.00 1st Qu.:2.00 1st Qu.:1.0 1st Qu.: 5.00
## Median : 6.00 Median :4.00 Median :2.0 Median :11.00
## Mean : 8.27 Mean :3.49 Mean :2.5 Mean :13.83
## 3rd Qu.:12.00 3rd Qu.:5.00 3rd Qu.:4.0 3rd Qu.:15.00
## Max. :99.00 Max. :9.00 Max. :9.0 Max. :99.00
## NA's :396104 NA's :396112 NA's :396130 NA's :396148
## crgvalzd crgvper1 crgvhou1 crgvexpt
## Min. :1 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:2 1st Qu.:1.00 1st Qu.:1.00 1st Qu.:2.00
## Median :2 Median :1.00 Median :1.00 Median :2.00
## Mean :2 Mean :1.55 Mean :1.41 Mean :2.15
## 3rd Qu.:2 3rd Qu.:2.00 3rd Qu.:1.00 3rd Qu.:2.00
## Max. :9 Max. :9.00 Max. :9.00 Max. :9.00
## NA's :396612 NA's :396163 NA's :396172 NA's :372320
## ecigaret ecignow marijan1 usemrjn2
## Min. :1.000 Min. :1.00 Min. : 1.00 Min. :1.00
## 1st Qu.:2.000 1st Qu.:3.00 1st Qu.:88.00 1st Qu.:1.00
## Median :2.000 Median :3.00 Median :88.00 Median :1.00
## Mean :1.824 Mean :2.73 Mean :81.71 Mean :1.73
## 3rd Qu.:2.000 3rd Qu.:3.00 3rd Qu.:88.00 3rd Qu.:2.00
## Max. :9.000 Max. :9.00 Max. :99.00 Max. :9.00
## NA's :137397 NA's :351208 NA's :271339 NA's :390513
## rsnmrjn1 lcsfirst lcslast lcsnumcg
## Min. :1.00 Min. : 1.00 Min. : 1.00 Min. : 1.00
## 1st Qu.:1.00 1st Qu.: 15.00 1st Qu.: 30.00 1st Qu.: 8.00
## Median :2.00 Median : 17.00 Median : 41.00 Median : 15.00
## Mean :2.07 Mean : 68.82 Mean : 88.32 Mean : 50.68
## 3rd Qu.:3.00 3rd Qu.: 20.00 3rd Qu.: 58.00 3rd Qu.: 20.00
## Max. :9.00 Max. :999.00 Max. :999.00 Max. :999.00
## NA's :390525 NA's :387914 NA's :388332 NA's :388351
## lcsctscn cncrdiff cncrage cncrtyp1
## Min. :1.00 Min. :1.0 Min. : 1.00 Min. : 1.0
## 1st Qu.:2.00 1st Qu.:1.0 1st Qu.:47.00 1st Qu.:10.0
## Median :2.00 Median :1.0 Median :59.00 Median :21.0
## Mean :2.19 Mean :1.4 Mean :57.77 Mean :19.5
## 3rd Qu.:2.00 3rd Qu.:1.0 3rd Qu.:69.00 3rd Qu.:22.0
## Max. :9.00 Max. :9.0 Max. :99.00 Max. :99.0
## NA's :370711 NA's :378792 NA's :379265 NA's :379282
## csrvtrt3 csrvdoc1 csrvsum csrvrtrn
## Min. :1.00 Min. : 1.00 Min. :1.00 Min. :1.00
## 1st Qu.:2.00 1st Qu.: 2.00 1st Qu.:1.00 1st Qu.:1.00
## Median :2.00 Median : 5.00 Median :2.00 Median :1.00
## Mean :2.85 Mean : 6.74 Mean :1.95 Mean :1.39
## 3rd Qu.:5.00 3rd Qu.: 5.00 3rd Qu.:2.00 3rd Qu.:2.00
## Max. :9.00 Max. :99.00 Max. :9.00 Max. :9.00
## NA's :377950 NA's :388388 NA's :388401 NA's :388422
## csrvinst csrvinsr csrvdein csrvclin
## Min. :1.00 Min. :1.00 Min. :1.00 Min. :1.00
## 1st Qu.:1.00 1st Qu.:1.00 1st Qu.:2.00 1st Qu.:2.00
## Median :1.00 Median :1.00 Median :2.00 Median :2.00
## Mean :1.62 Mean :1.13 Mean :1.98 Mean :2.03
## 3rd Qu.:2.00 3rd Qu.:1.00 3rd Qu.:2.00 3rd Qu.:2.00
## Max. :9.00 Max. :9.00 Max. :9.00 Max. :9.00
## NA's :391979 NA's :388442 NA's :388451 NA's :388459
## csrvpain csrvctl2 pcpsade1 pcdmdec1
## Min. :1.00 Min. :1.00 Min. :1.00 Mode:logical
## 1st Qu.:2.00 1st Qu.:1.00 1st Qu.:1.00 NA's:401958
## Median :2.00 Median :2.00 Median :2.00
## Mean :2.03 Mean :2.18 Mean :2.15
## 3rd Qu.:2.00 3rd Qu.:3.00 3rd Qu.:3.00
## Max. :9.00 Max. :9.00 Max. :9.00
## NA's :379939 NA's :400105 NA's :400117
## hpvadvc4 hpvadsht tetanus1 imfvpla1
## Min. :1.00 Min. : 1.00 Min. :1 Min. : 1.00
## 1st Qu.:2.00 1st Qu.: 2.00 1st Qu.:1 1st Qu.: 1.00
## Median :2.00 Median : 3.00 Median :3 Median : 5.00
## Mean :2.44 Mean :21.01 Mean :3 Mean : 4.25
## 3rd Qu.:2.00 3rd Qu.: 3.00 3rd Qu.:4 3rd Qu.: 5.00
## Max. :9.00 Max. :99.00 Max. :9 Max. :99.00
## NA's :386846 NA's :399179 NA's :394003 NA's :394375
## birthsex somale sofemale trnsgndr
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:1.000 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:4.000
## Median :2.000 Median :2.000 Median :2.000 Median :4.000
## Mean :1.563 Mean :2.199 Mean :2.273 Mean :4.049
## 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:4.000
## Max. :9.000 Max. :9.000 Max. :9.000 Max. :9.000
## NA's :300719 NA's :291919 NA's :271880 NA's :161936
## acedeprs acedrink acedrugs aceprisn
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.000
## Median :2.000 Median :2.000 Median :2.000 Median :2.000
## Mean :1.965 Mean :1.879 Mean :2.003 Mean :2.015
## 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:2.000
## Max. :9.000 Max. :9.000 Max. :9.000 Max. :9.000
## NA's :272572 NA's :272753 NA's :272819 NA's :272878
## acedivrc acepunch acehurt1 aceswear
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000
## Median :2.000 Median :1.000 Median :1.000 Median :1.000
## Mean :1.935 Mean :1.469 Mean :1.551 Mean :1.771
## 3rd Qu.:2.000 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:3.000
## Max. :9.000 Max. :9.000 Max. :9.000 Max. :9.000
## NA's :272915 NA's :272990 NA's :273103 NA's :273191
## acetouch acetthem acehvsex rcsgendr
## Min. :1.00 Min. :1.000 Min. :1.00 Min. :1.00
## 1st Qu.:1.00 1st Qu.:1.000 1st Qu.:1.00 1st Qu.:1.00
## Median :1.00 Median :1.000 Median :1.00 Median :2.00
## Mean :1.36 Mean :1.304 Mean :1.25 Mean :1.92
## 3rd Qu.:1.00 3rd Qu.:1.000 3rd Qu.:1.00 3rd Qu.:2.00
## Max. :9.00 Max. :9.000 Max. :9.00 Max. :9.00
## NA's :273271 NA's :273360 NA's :273459 NA's :346998
## rcsrltn2 casthdx2 casthno2 qstver
## Min. :1.00 Min. :1.0 Min. :1.00 Min. :10.00
## 1st Qu.:1.00 1st Qu.:2.0 1st Qu.:1.00 1st Qu.:12.00
## Median :1.00 Median :2.0 Median :1.00 Median :20.00
## Mean :1.74 Mean :2.2 Mean :1.48 Mean :17.47
## 3rd Qu.:1.00 3rd Qu.:2.0 3rd Qu.:2.00 3rd Qu.:20.00
## Max. :9.00 Max. :9.0 Max. :9.00 Max. :23.00
## NA's :347440 NA's :352527 NA's :396463
## qstlang metstat urbstat mscode
## Min. : 1.000 Min. :1.000 Min. :1.00 Min. :1.000
## 1st Qu.: 1.000 1st Qu.:1.000 1st Qu.:1.00 1st Qu.:1.000
## Median : 1.000 Median :1.000 Median :1.00 Median :3.000
## Mean : 1.036 Mean :1.308 Mean :1.15 Mean :2.999
## 3rd Qu.: 1.000 3rd Qu.:2.000 3rd Qu.:1.00 3rd Qu.:5.000
## Max. :20.000 Max. :2.000 Max. :2.00 Max. :5.000
## NA's :7127 NA's :7127 NA's :279833
## ststr strwt rawrake wt2rake
## Min. : 11011 Min. : 0.338 Min. :0.3333 Min. : 0.169
## 1st Qu.:182059 1st Qu.: 15.778 1st Qu.:1.0000 1st Qu.: 18.739
## Median :292089 Median : 41.539 Median :1.0000 Median : 45.810
## Mean :301858 Mean : 81.713 Mean :1.2110 Mean : 88.727
## 3rd Qu.:412019 3rd Qu.: 81.675 3rd Qu.:1.0000 3rd Qu.: 87.288
## Max. :722019 Max. :1540.116 Max. :5.0000 Max. :5338.969
##
## imprace chispnc crace1 cprace
## Min. :1.000 Min. :1.000 Min. : 1.00 Min. : 1.00
## 1st Qu.:1.000 1st Qu.:9.000 1st Qu.: 1.00 1st Qu.: 1.00
## Median :1.000 Median :9.000 Median : 1.00 Median : 1.00
## Mean :1.716 Mean :7.623 Mean : 8.09 Mean : 8.09
## 3rd Qu.:1.000 3rd Qu.:9.000 3rd Qu.: 2.00 3rd Qu.: 2.00
## Max. :6.000 Max. :9.000 Max. :99.00 Max. :99.00
## NA's :125339 NA's :345583 NA's :345583
## cllcpwt dualuse dualcor llcpwt2
## Min. : 0.77 Min. :1.000 Min. :0.037 Min. : 3.685
## 1st Qu.: 131.50 1st Qu.:1.000 1st Qu.:0.439 1st Qu.: 149.870
## Median : 316.39 Median :9.000 Median :0.523 Median : 337.331
## Mean : 921.95 Mean :5.639 Mean :0.528 Mean : 647.850
## 3rd Qu.: 753.07 3rd Qu.:9.000 3rd Qu.:0.613 3rd Qu.: 719.822
## Max. :102357.73 Max. :9.000 Max. :0.963 Max. :20022.819
## NA's :347004 NA's :224237
## llcpwt rfhlth phys14d ment14d
## Min. : 0.958 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.: 113.404 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000
## Median : 282.288 Median :1.000 Median :1.000 Median :1.000
## Mean : 647.850 Mean :1.173 Mean :1.565 Mean :1.622
## 3rd Qu.: 663.937 3rd Qu.:1.000 3rd Qu.:2.000 3rd Qu.:2.000
## Max. :83193.322 Max. :9.000 Max. :9.000 Max. :9.000
##
## hcvu651 totinda michd ltasth1
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:2.000 1st Qu.:1.000
## Median :1.000 Median :1.000 Median :2.000 Median :1.000
## Mean :4.008 Mean :1.251 Mean :1.914 Mean :1.162
## 3rd Qu.:9.000 3rd Qu.:1.000 3rd Qu.:2.000 3rd Qu.:1.000
## Max. :9.000 Max. :9.000 Max. :2.000 Max. :9.000
## NA's :3571
## casthm1 asthms1 drdxar2 exteth3
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.00
## 1st Qu.:1.000 1st Qu.:3.000 1st Qu.:1.000 1st Qu.:1.00
## Median :1.000 Median :3.000 Median :2.000 Median :1.00
## Mean :1.153 Mean :2.818 Mean :1.689 Mean :1.65
## 3rd Qu.:1.000 3rd Qu.:3.000 3rd Qu.:2.000 3rd Qu.:2.00
## Max. :9.000 Max. :9.000 Max. :2.000 Max. :9.00
## NA's :2303
## alteth3 denvst3 prace1 mrace1
## Min. :1.000 Min. :1.000 Min. : 1.000 Min. : 1.000
## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.: 1.000 1st Qu.: 1.000
## Median :1.000 Median :1.000 Median : 1.000 Median : 1.000
## Mean :1.868 Mean :1.417 Mean : 3.964 Mean : 4.056
## 3rd Qu.:1.000 3rd Qu.:2.000 3rd Qu.: 1.000 3rd Qu.: 1.000
## Max. :9.000 Max. :9.000 Max. :99.000 Max. :99.000
## NA's :256096 NA's :9 NA's :9
## hispanc race raceg21 racegr3 raceprv
## Min. :1.000 Min. :1.000 Min. :1.00 Min. :1.000 Min. :1.000
## 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:1.00 1st Qu.:1.000 1st Qu.:1.000
## Median :2.000 Median :1.000 Median :1.00 Median :1.000 Median :1.000
## Mean :1.996 Mean :2.182 Mean :1.42 Mean :1.788 Mean :2.011
## 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:2.00 3rd Qu.:2.000 3rd Qu.:1.000
## Max. :9.000 Max. :9.000 Max. :9.00 Max. :9.000 Max. :8.000
## NA's :1 NA's :1 NA's :1 NA's :1
## sex ageg5yr age65yr age80
## Min. :1.000 Min. : 1.000 Min. :1.000 Min. :18.00
## 1st Qu.:1.000 1st Qu.: 5.000 1st Qu.:1.000 1st Qu.:40.00
## Median :2.000 Median : 8.000 Median :1.000 Median :57.00
## Mean :1.542 Mean : 7.667 Mean :1.383 Mean :54.43
## 3rd Qu.:2.000 3rd Qu.:11.000 3rd Qu.:2.000 3rd Qu.:69.00
## Max. :2.000 Max. :14.000 Max. :3.000 Max. :80.00
##
## age_g htin4 htm4 wtkg3
## Min. :1.000 Min. :36.00 Min. : 91.0 Min. : 2268
## 1st Qu.:3.000 1st Qu.:64.00 1st Qu.:163.0 1st Qu.: 6804
## Median :5.000 Median :67.00 Median :170.0 Median : 7938
## Mean :4.348 Mean :66.99 Mean :170.1 Mean : 8232
## 3rd Qu.:6.000 3rd Qu.:70.00 3rd Qu.:178.0 3rd Qu.: 9299
## Max. :6.000 Max. :95.00 Max. :241.0 Max. :29030
## NA's :23808 NA's :21731 NA's :34948
## bmi5 bmi5cat rfbmi5 chldcnt
## Min. :1202 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:2399 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:1.000
## Median :2732 Median :3.000 Median :2.000 Median :1.000
## Mean :2831 Mean :2.982 Mean :2.431 Mean :1.672
## 3rd Qu.:3138 3rd Qu.:4.000 3rd Qu.:2.000 3rd Qu.:2.000
## Max. :9843 Max. :4.000 Max. :9.000 Max. :9.000
## NA's :41357 NA's :41357
## educag incomg smoker3 rfsmok3
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:2.000 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:1.000
## Median :3.000 Median :5.000 Median :4.000 Median :1.000
## Mean :3.018 Mean :4.903 Mean :3.648 Mean :1.551
## 3rd Qu.:4.000 3rd Qu.:5.000 3rd Qu.:4.000 3rd Qu.:1.000
## Max. :9.000 Max. :9.000 Max. :9.000 Max. :9.000
##
## drnkany5 drocdy3 rfbing5 drnkwk1
## Min. :1.000 Min. : 0.00 Min. :1.000 Min. : 0
## 1st Qu.:1.000 1st Qu.: 0.00 1st Qu.:1.000 1st Qu.: 0
## Median :2.000 Median : 3.00 Median :1.000 Median : 23
## Mean :1.972 Mean : 76.03 Mean :1.746 Mean : 7906
## 3rd Qu.:2.000 3rd Qu.: 29.00 3rd Qu.:1.000 3rd Qu.: 420
## Max. :9.000 Max. :900.00 Max. :9.000 Max. :99900
##
## rfdrhv7 flshot7 pneumo3 rfseat2
## Min. :1.00 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:1.00 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000
## Median :1.00 Median :1.000 Median :1.000 Median :1.000
## Mean :1.67 Mean :2.119 Mean :2.314 Mean :1.573
## 3rd Qu.:1.00 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:1.000
## Max. :9.00 Max. :9.000 Max. :9.000 Max. :9.000
## NA's :256096 NA's :256096
## rfseat3 drnkdrv rfmam22 mam5023
## Min. :1.00 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:1.00 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:1.000
## Median :1.00 Median :9.000 Median :1.000 Median :1.000
## Mean :1.64 Mean :5.645 Mean :1.878 Mean :1.219
## 3rd Qu.:1.00 3rd Qu.:9.000 3rd Qu.:2.000 3rd Qu.:1.000
## Max. :9.00 Max. :9.000 Max. :9.000 Max. :2.000
## NA's :235983 NA's :306666
## rfpap35 rfpsa23 clnscpy sgmscpy
## Min. :1.000 Min. :1.000 Min. :1.00 Min. :1.000
## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.00 1st Qu.:3.000
## Median :1.000 Median :2.000 Median :1.00 Median :3.000
## Mean :1.223 Mean :2.337 Mean :1.58 Mean :2.852
## 3rd Qu.:1.000 3rd Qu.:2.000 3rd Qu.:3.00 3rd Qu.:3.000
## Max. :2.000 Max. :9.000 Max. :3.00 Max. :3.000
## NA's :304555 NA's :275354 NA's :224036 NA's :230472
## sgms10y rfblds4 stoldna vircoln
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:2.000 1st Qu.:3.000 1st Qu.:3.000
## Median :3.000 Median :3.000 Median :3.000 Median :3.000
## Mean :2.837 Mean :2.579 Mean :2.881 Mean :2.938
## 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:3.000
## Max. :3.000 Max. :3.000 Max. :3.000 Max. :3.000
## NA's :230472 NA's :226105 NA's :225601 NA's :227684
## sbontim crcrec1 aidtst4
## Min. :1.000 Min. :1.000 Min. :1.00
## 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:1.00
## Median :3.000 Median :1.000 Median :2.00
## Mean :2.537 Mean :1.417 Mean :2.04
## 3rd Qu.:3.000 3rd Qu.:1.000 3rd Qu.:2.00
## Max. :3.000 Max. :3.000 Max. :9.00
## NA's :207741 NA's :226260 NA's :34037| Name | datos |
| Number of rows | 401958 |
| Number of columns | 279 |
| _______________________ | |
| Column type frequency: | |
| logical | 9 |
| numeric | 270 |
| ________________________ | |
| Group variables | None |
Variable type: logical
| skim_variable | n_missing | complete_rate | mean | count |
|---|---|---|---|---|
| colghous | 401958 | 0 | NaN | : |
| colgsex | 401958 | 0 | NaN | : |
| toldcfs | 401958 | 0 | NaN | : |
| havecfs | 401958 | 0 | NaN | : |
| workcfs | 401958 | 0 | NaN | : |
| trethepc | 401958 | 0 | NaN | : |
| prirhepc | 401958 | 0 | NaN | : |
| havehepc | 401958 | 0 | NaN | : |
| pcdmdec1 | 401958 | 0 | NaN | : |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| state | 0 | 1.00 | 3.001000e+01 | 15.77 | 1.000000e+00 | 1.800000e+01 | 2.900000e+01 | 4.100000e+01 | 7.200000e+01 | ▆▇▇▆▁ |
| fmonth | 0 | 1.00 | 5.960000e+00 | 3.52 | 1.000000e+00 | 3.000000e+00 | 6.000000e+00 | 9.000000e+00 | 1.200000e+01 | ▇▅▃▃▅ |
| idate | 0 | 1.00 | 6.662701e+06 | 3462450.18 | 1.012021e+06 | 3.262020e+06 | 6.252020e+06 | 1.005202e+07 | 1.231202e+07 | ▇▆▅▅▇ |
| imonth | 0 | 1.00 | 6.510000e+00 | 3.47 | 1.000000e+00 | 3.000000e+00 | 6.000000e+00 | 1.000000e+01 | 1.200000e+01 | ▇▅▅▅▇ |
| iday | 0 | 1.00 | 1.501000e+01 | 8.43 | 1.000000e+00 | 8.000000e+00 | 1.500000e+01 | 2.200000e+01 | 3.100000e+01 | ▇▇▇▆▅ |
| iyear | 0 | 1.00 | 2.020030e+03 | 0.17 | 2.020000e+03 | 2.020000e+03 | 2.020000e+03 | 2.020000e+03 | 2.021000e+03 | ▇▁▁▁▁ |
| dispcode | 0 | 1.00 | 1.117750e+03 | 38.21 | 1.100000e+03 | 1.100000e+03 | 1.100000e+03 | 1.100000e+03 | 1.200000e+03 | ▇▁▁▁▂ |
| seqno | 0 | 1.00 | 2.020005e+09 | 3396.68 | 2.020000e+09 | 2.020002e+09 | 2.020004e+09 | 2.020007e+09 | 2.020016e+09 | ▇▆▃▂▁ |
| psu | 0 | 1.00 | 2.020005e+09 | 3396.68 | 2.020000e+09 | 2.020002e+09 | 2.020004e+09 | 2.020007e+09 | 2.020016e+09 | ▇▆▃▂▁ |
| ctelenm1 | 277207 | 0.31 | 1.000000e+00 | 0.00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | ▁▁▇▁▁ |
| pvtresd1 | 277207 | 0.31 | 1.000000e+00 | 0.01 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | ▇▁▁▁▁ |
| statere1 | 277207 | 0.31 | 1.000000e+00 | 0.00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | ▁▁▇▁▁ |
| celphone | 277207 | 0.31 | 2.000000e+00 | 0.00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | ▁▁▇▁▁ |
| ladult1 | 277207 | 0.31 | 1.010000e+00 | 0.09 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | ▇▁▁▁▁ |
| numadult | 277216 | 0.31 | 1.750000e+00 | 0.82 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 1.800000e+01 | ▇▁▁▁▁ |
| landsex | 350509 | 0.13 | 1.690000e+00 | 0.47 | 0.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▃▇▁▁▁ |
| nummen | 291536 | 0.27 | 8.200000e-01 | 0.63 | 0.000000e+00 | 0.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.800000e+01 | ▇▁▁▁▁ |
| numwomen | 291536 | 0.27 | 9.900000e-01 | 0.55 | 0.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.800000e+01 | ▇▁▁▁▁ |
| respslct | 354532 | 0.12 | 1.530000e+00 | 0.50 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | ▇▁▁▁▇ |
| safetime | 124751 | 0.69 | 1.000000e+00 | 0.00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | ▁▁▇▁▁ |
| ctelnum1 | 124751 | 0.69 | 1.000000e+00 | 0.00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | ▁▁▇▁▁ |
| cellfon5 | 124751 | 0.69 | 1.000000e+00 | 0.00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | ▁▁▇▁▁ |
| cadult1 | 124755 | 0.69 | 1.000000e+00 | 0.00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | ▁▁▇▁▁ |
| cellsex | 124771 | 0.69 | 1.510000e+00 | 0.50 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | ▇▁▁▁▇ |
| pvtresd3 | 124752 | 0.69 | 1.000000e+00 | 0.06 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | ▇▁▁▁▁ |
| cclghous | 400979 | 0.00 | 1.000000e+00 | 0.00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | ▁▁▇▁▁ |
| cstate1 | 124758 | 0.69 | 1.070000e+00 | 0.26 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | ▇▁▁▁▁ |
| landline | 124752 | 0.69 | 1.770000e+00 | 0.58 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| hhadult | 124753 | 0.69 | 2.800000e+00 | 7.61 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 3.000000e+00 | 9.900000e+01 | ▇▁▁▁▁ |
| sexvar | 0 | 1.00 | 1.540000e+00 | 0.50 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | ▇▁▁▁▇ |
| genhlth | 8 | 1.00 | 2.450000e+00 | 1.09 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 3.000000e+00 | 9.000000e+00 | ▇▆▁▁▁ |
| physhlth | 5 | 1.00 | 6.614000e+01 | 34.83 | 1.000000e+00 | 3.000000e+01 | 8.800000e+01 | 8.800000e+01 | 9.900000e+01 | ▂▁▁▁▇ |
| menthlth | 5 | 1.00 | 6.145000e+01 | 36.95 | 1.000000e+00 | 1.500000e+01 | 8.800000e+01 | 8.800000e+01 | 9.900000e+01 | ▃▁▁▁▇ |
| poorhlth | 200343 | 0.50 | 5.568000e+01 | 38.15 | 1.000000e+00 | 1.000000e+01 | 8.800000e+01 | 8.800000e+01 | 9.900000e+01 | ▅▁▁▁▇ |
| hlthpln1 | 3 | 1.00 | 1.120000e+00 | 0.56 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| persdoc2 | 3 | 1.00 | 1.450000e+00 | 0.89 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▂▁▁▁ |
| medcost | 3 | 1.00 | 1.930000e+00 | 0.41 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| checkup1 | 5 | 1.00 | 1.460000e+00 | 1.12 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| exerany2 | 3 | 1.00 | 1.250000e+00 | 0.50 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| sleptim1 | 3 | 1.00 | 7.940000e+00 | 7.97 | 1.000000e+00 | 6.000000e+00 | 7.000000e+00 | 8.000000e+00 | 9.900000e+01 | ▇▁▁▁▁ |
| cvdinfr4 | 6 | 1.00 | 1.970000e+00 | 0.45 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| cvdcrhd4 | 3 | 1.00 | 1.990000e+00 | 0.53 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| cvdstrk3 | 3 | 1.00 | 1.980000e+00 | 0.36 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| asthma3 | 3 | 1.00 | 1.880000e+00 | 0.47 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| asthnow | 347817 | 0.13 | 1.440000e+00 | 1.06 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| chcscncr | 3 | 1.00 | 1.930000e+00 | 0.43 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| chcocncr | 3 | 1.00 | 1.930000e+00 | 0.43 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| chccopd2 | 5 | 1.00 | 1.950000e+00 | 0.46 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| havarth4 | 5 | 1.00 | 1.720000e+00 | 0.63 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| addepev3 | 6 | 1.00 | 1.840000e+00 | 0.58 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| chckdny2 | 6 | 1.00 | 1.980000e+00 | 0.39 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| diabete4 | 6 | 1.00 | 2.760000e+00 | 0.74 | 1.000000e+00 | 3.000000e+00 | 3.000000e+00 | 3.000000e+00 | 9.000000e+00 | ▁▇▁▁▁ |
| diabage3 | 349864 | 0.13 | 5.317000e+01 | 18.64 | 1.000000e+00 | 4.100000e+01 | 5.200000e+01 | 6.200000e+01 | 9.900000e+01 | ▁▅▇▅▂ |
| lastden4 | 7 | 1.00 | 1.730000e+00 | 1.27 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▂▁▁▁ |
| rmvteth4 | 7 | 1.00 | 5.020000e+00 | 3.26 | 1.000000e+00 | 1.000000e+00 | 8.000000e+00 | 8.000000e+00 | 9.000000e+00 | ▆▁▁▁▇ |
| marital | 12 | 1.00 | 2.390000e+00 | 1.80 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 3.000000e+00 | 9.000000e+00 | ▇▂▂▁▁ |
| educa | 12 | 1.00 | 4.990000e+00 | 1.05 | 1.000000e+00 | 4.000000e+00 | 5.000000e+00 | 6.000000e+00 | 9.000000e+00 | ▁▆▆▇▁ |
| renthom1 | 15 | 1.00 | 1.410000e+00 | 0.88 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| numhhol3 | 277212 | 0.31 | 1.810000e+00 | 0.73 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| numphon3 | 371708 | 0.08 | 1.660000e+00 | 1.47 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| cpdemo1b | 116 | 1.00 | 1.510000e+00 | 1.64 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| veteran3 | 1307 | 1.00 | 1.900000e+00 | 0.50 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| employ1 | 2925 | 0.99 | 3.840000e+00 | 2.86 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 7.000000e+00 | 9.000000e+00 | ▇▁▁▅▁ |
| children | 4767 | 0.99 | 6.548000e+01 | 37.95 | 1.000000e+00 | 4.000000e+00 | 8.800000e+01 | 8.800000e+01 | 9.900000e+01 | ▃▁▁▁▇ |
| income2 | 7358 | 0.98 | 2.151000e+01 | 32.88 | 1.000000e+00 | 5.000000e+00 | 7.000000e+00 | 8.000000e+00 | 9.900000e+01 | ▇▁▁▁▁ |
| pregnant | 326368 | 0.19 | 2.010000e+00 | 0.52 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| weight2 | 9852 | 0.98 | 7.966600e+02 | 2308.95 | 5.000000e+01 | 1.500000e+02 | 1.800000e+02 | 2.170000e+02 | 9.999000e+03 | ▇▁▁▁▁ |
| height3 | 10824 | 0.97 | 8.070300e+02 | 1560.95 | 2.040000e+02 | 5.040000e+02 | 5.070000e+02 | 5.100000e+02 | 9.999000e+03 | ▇▁▁▁▁ |
| deaf | 12415 | 0.97 | 1.940000e+00 | 0.46 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| blind | 13324 | 0.97 | 1.970000e+00 | 0.41 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| decide | 14351 | 0.96 | 1.940000e+00 | 0.55 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| diffwalk | 15280 | 0.96 | 1.870000e+00 | 0.51 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| diffdres | 15892 | 0.96 | 1.980000e+00 | 0.32 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| diffalon | 16769 | 0.96 | 1.950000e+00 | 0.43 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| smoke100 | 17860 | 0.96 | 1.630000e+00 | 0.70 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| smokday2 | 245324 | 0.39 | 2.430000e+00 | 0.90 | 1.000000e+00 | 2.000000e+00 | 3.000000e+00 | 3.000000e+00 | 9.000000e+00 | ▅▇▁▁▁ |
| stopsmk2 | 349535 | 0.13 | 1.500000e+00 | 0.62 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| lastsmk2 | 298233 | 0.26 | 6.820000e+00 | 6.85 | 1.000000e+00 | 6.000000e+00 | 7.000000e+00 | 7.000000e+00 | 9.900000e+01 | ▇▁▁▁▁ |
| usenow3 | 18493 | 0.95 | 2.960000e+00 | 0.42 | 1.000000e+00 | 3.000000e+00 | 3.000000e+00 | 3.000000e+00 | 9.000000e+00 | ▁▇▁▁▁ |
| alcday5 | 20927 | 0.95 | 5.308500e+02 | 356.35 | 1.010000e+02 | 2.020000e+02 | 2.300000e+02 | 8.880000e+02 | 9.990000e+02 | ▇▁▁▁▇ |
| avedrnk3 | 211099 | 0.47 | 4.080000e+00 | 12.34 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 3.000000e+00 | 9.900000e+01 | ▇▁▁▁▁ |
| drnk3ge5 | 211626 | 0.47 | 6.637000e+01 | 36.54 | 1.000000e+00 | 3.000000e+01 | 8.800000e+01 | 8.800000e+01 | 9.900000e+01 | ▃▁▁▁▇ |
| maxdrnks | 212112 | 0.47 | 6.220000e+00 | 15.24 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 4.000000e+00 | 9.900000e+01 | ▇▁▁▁▁ |
| flushot7 | 23525 | 0.94 | 1.510000e+00 | 0.68 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| flshtmy3 | 205030 | 0.49 | 1.382138e+05 | 168568.07 | 1.201900e+04 | 9.202000e+04 | 1.020190e+05 | 1.120190e+05 | 9.999990e+05 | ▇▁▁▁▁ |
| shingle2 | 165874 | 0.59 | 1.740000e+00 | 0.89 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| pneuvac4 | 24437 | 0.94 | 2.060000e+00 | 1.59 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| fall12mn | 137808 | 0.66 | 6.578000e+01 | 37.38 | 1.000000e+00 | 1.000000e+01 | 8.800000e+01 | 8.800000e+01 | 9.900000e+01 | ▃▁▁▁▇ |
| fallinj4 | 333322 | 0.17 | 5.665000e+01 | 41.43 | 1.000000e+00 | 1.000000e+00 | 8.800000e+01 | 8.800000e+01 | 9.900000e+01 | ▅▁▁▁▇ |
| seatbelt | 25511 | 0.94 | 1.260000e+00 | 0.84 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| drnkdri2 | 208430 | 0.48 | 8.601000e+01 | 12.87 | 1.000000e+00 | 8.800000e+01 | 8.800000e+01 | 8.800000e+01 | 9.900000e+01 | ▁▁▁▁▇ |
| hadmam | 198438 | 0.51 | 1.260000e+00 | 0.62 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| howlong | 245446 | 0.39 | 2.020000e+00 | 1.48 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▂▁▁▁ |
| hadpap2 | 198942 | 0.51 | 1.130000e+00 | 0.66 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| lastpap2 | 215438 | 0.46 | 2.950000e+00 | 1.78 | 1.000000e+00 | 1.000000e+00 | 3.000000e+00 | 5.000000e+00 | 9.000000e+00 | ▇▃▅▁▁ |
| hpvtest | 199388 | 0.50 | 2.950000e+00 | 2.42 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 7.000000e+00 | 9.000000e+00 | ▇▁▁▃▁ |
| hplsttst | 336493 | 0.16 | 2.950000e+00 | 1.92 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 5.000000e+00 | 9.000000e+00 | ▇▃▃▁▁ |
| hadhyst2 | 201690 | 0.50 | 1.770000e+00 | 0.66 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| pcpsaad3 | 275393 | 0.31 | 1.750000e+00 | 1.21 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| pcpsadi1 | 275622 | 0.31 | 2.010000e+00 | 1.17 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| pcpsare1 | 275882 | 0.31 | 1.820000e+00 | 1.30 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| psatest1 | 276043 | 0.31 | 1.820000e+00 | 1.39 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| psatime | 343595 | 0.15 | 2.130000e+00 | 1.64 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 3.000000e+00 | 9.000000e+00 | ▇▂▁▁▁ |
| pcpsars1 | 343707 | 0.14 | 1.830000e+00 | 1.48 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| colnscpy | 143403 | 0.64 | 1.340000e+00 | 0.72 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| colntest | 220603 | 0.45 | 2.940000e+00 | 1.32 | 1.000000e+00 | 2.000000e+00 | 3.000000e+00 | 4.000000e+00 | 9.000000e+00 | ▅▇▂▁▁ |
| sigmscpy | 143927 | 0.64 | 2.140000e+00 | 1.21 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| sigmtest | 370070 | 0.08 | 4.190000e+00 | 1.44 | 1.000000e+00 | 3.000000e+00 | 5.000000e+00 | 5.000000e+00 | 9.000000e+00 | ▂▃▇▁▁ |
| bldstol1 | 144393 | 0.64 | 1.750000e+00 | 0.82 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| lstblds4 | 318862 | 0.21 | 3.210000e+00 | 1.82 | 1.000000e+00 | 1.000000e+00 | 3.000000e+00 | 5.000000e+00 | 9.000000e+00 | ▇▃▆▁▁ |
| stooldna | 144914 | 0.64 | 2.020000e+00 | 0.76 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| sdnatest | 383572 | 0.05 | 2.830000e+00 | 1.83 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 5.000000e+00 | 9.000000e+00 | ▇▃▃▁▁ |
| vircolon | 145453 | 0.64 | 2.120000e+00 | 0.94 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| vclntest | 390737 | 0.03 | 3.650000e+00 | 1.72 | 1.000000e+00 | 2.000000e+00 | 4.000000e+00 | 5.000000e+00 | 9.000000e+00 | ▆▆▇▁▁ |
| hivtst7 | 34037 | 0.92 | 1.940000e+00 | 1.28 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| hivtstd3 | 285136 | 0.29 | 4.302164e+05 | 357172.96 | 1.198500e+04 | 6.202000e+04 | 7.719900e+05 | 7.777770e+05 | 9.999990e+05 | ▇▁▁▇▁ |
| hivrisk5 | 35932 | 0.91 | 2.000000e+00 | 0.53 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| pdiabtst | 183016 | 0.54 | 1.650000e+00 | 1.17 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| prediab1 | 182965 | 0.54 | 2.750000e+00 | 0.75 | 1.000000e+00 | 3.000000e+00 | 3.000000e+00 | 3.000000e+00 | 9.000000e+00 | ▁▇▁▁▁ |
| insulin1 | 388849 | 0.03 | 1.690000e+00 | 0.56 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| bldsugar | 388850 | 0.03 | 2.554500e+02 | 265.26 | 1.010000e+02 | 1.010000e+02 | 1.030000e+02 | 3.010000e+02 | 9.990000e+02 | ▇▁▁▁▁ |
| feetchk3 | 388850 | 0.03 | 2.743200e+02 | 285.57 | 1.010000e+02 | 1.010000e+02 | 1.010000e+02 | 3.010000e+02 | 9.990000e+02 | ▇▁▁▁▂ |
| doctdiab | 388850 | 0.03 | 1.569000e+01 | 29.51 | 1.000000e+00 | 2.000000e+00 | 3.000000e+00 | 4.000000e+00 | 9.900000e+01 | ▇▁▁▁▁ |
| chkhemo3 | 388850 | 0.03 | 1.326000e+01 | 27.43 | 1.000000e+00 | 2.000000e+00 | 3.000000e+00 | 4.000000e+00 | 9.900000e+01 | ▇▁▁▁▁ |
| feetchk | 388925 | 0.03 | 2.734000e+01 | 38.24 | 1.000000e+00 | 2.000000e+00 | 4.000000e+00 | 8.800000e+01 | 9.900000e+01 | ▇▁▁▁▃ |
| eyeexam1 | 388850 | 0.03 | 2.470000e+00 | 1.56 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 3.000000e+00 | 9.000000e+00 | ▇▃▁▁▁ |
| diabeye | 388850 | 0.03 | 1.900000e+00 | 0.76 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| diabedu | 388850 | 0.03 | 1.510000e+00 | 0.63 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| toldhepc | 383151 | 0.05 | 2.010000e+00 | 0.37 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| havehepb | 383186 | 0.05 | 2.020000e+00 | 0.42 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| medshepb | 401807 | 0.00 | 1.990000e+00 | 0.64 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 7.000000e+00 | ▇▁▁▁▁ |
| hlthcvr1 | 362563 | 0.10 | 4.470000e+00 | 13.31 | 1.000000e+00 | 1.000000e+00 | 3.000000e+00 | 3.000000e+00 | 9.900000e+01 | ▇▁▁▁▁ |
| cimemlos | 334120 | 0.17 | 1.960000e+00 | 0.59 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| cdhouse | 395834 | 0.02 | 4.100000e+00 | 1.30 | 1.000000e+00 | 3.000000e+00 | 5.000000e+00 | 5.000000e+00 | 9.000000e+00 | ▂▆▇▁▁ |
| cdassist | 395847 | 0.02 | 4.180000e+00 | 1.22 | 1.000000e+00 | 3.000000e+00 | 5.000000e+00 | 5.000000e+00 | 9.000000e+00 | ▂▅▇▁▁ |
| cdhelp | 400293 | 0.00 | 2.220000e+00 | 1.30 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 3.000000e+00 | 9.000000e+00 | ▇▅▁▁▁ |
| cdsocial | 395855 | 0.02 | 4.130000e+00 | 1.33 | 1.000000e+00 | 3.000000e+00 | 5.000000e+00 | 5.000000e+00 | 9.000000e+00 | ▂▅▇▁▁ |
| cddiscus | 395865 | 0.02 | 1.610000e+00 | 0.78 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| caregiv1 | 371480 | 0.08 | 1.860000e+00 | 0.69 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| crgvrel4 | 396104 | 0.01 | 8.270000e+00 | 11.03 | 1.000000e+00 | 2.000000e+00 | 6.000000e+00 | 1.200000e+01 | 9.900000e+01 | ▇▁▁▁▁ |
| crgvlng1 | 396112 | 0.01 | 3.490000e+00 | 1.53 | 1.000000e+00 | 2.000000e+00 | 4.000000e+00 | 5.000000e+00 | 9.000000e+00 | ▆▇▆▁▁ |
| crgvhrs1 | 396130 | 0.01 | 2.500000e+00 | 1.83 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 4.000000e+00 | 9.000000e+00 | ▇▅▁▁▁ |
| crgvprb3 | 396148 | 0.01 | 1.383000e+01 | 18.29 | 1.000000e+00 | 5.000000e+00 | 1.100000e+01 | 1.500000e+01 | 9.900000e+01 | ▇▁▁▁▁ |
| crgvalzd | 396612 | 0.01 | 2.000000e+00 | 1.07 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| crgvper1 | 396163 | 0.01 | 1.550000e+00 | 0.78 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| crgvhou1 | 396172 | 0.01 | 1.410000e+00 | 1.30 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| crgvexpt | 372320 | 0.07 | 2.150000e+00 | 1.47 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| ecigaret | 137397 | 0.66 | 1.820000e+00 | 0.51 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| ecignow | 351208 | 0.13 | 2.730000e+00 | 0.65 | 1.000000e+00 | 3.000000e+00 | 3.000000e+00 | 3.000000e+00 | 9.000000e+00 | ▂▇▁▁▁ |
| marijan1 | 271339 | 0.32 | 8.171000e+01 | 20.62 | 1.000000e+00 | 8.800000e+01 | 8.800000e+01 | 8.800000e+01 | 9.900000e+01 | ▁▁▁▁▇ |
| usemrjn2 | 390513 | 0.03 | 1.730000e+00 | 1.47 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| rsnmrjn1 | 390525 | 0.03 | 2.070000e+00 | 1.01 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 3.000000e+00 | 9.000000e+00 | ▇▅▁▁▁ |
| lcsfirst | 387914 | 0.03 | 6.882000e+01 | 202.63 | 1.000000e+00 | 1.500000e+01 | 1.700000e+01 | 2.000000e+01 | 9.990000e+02 | ▇▁▁▁▁ |
| lcslast | 388332 | 0.03 | 8.832000e+01 | 187.16 | 1.000000e+00 | 3.000000e+01 | 4.100000e+01 | 5.800000e+01 | 9.990000e+02 | ▇▁▁▁▁ |
| lcsnumcg | 388351 | 0.03 | 5.068000e+01 | 164.72 | 1.000000e+00 | 8.000000e+00 | 1.500000e+01 | 2.000000e+01 | 9.990000e+02 | ▇▁▁▁▁ |
| lcsctscn | 370711 | 0.08 | 2.190000e+00 | 0.84 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▂▁▁▁ |
| cncrdiff | 378792 | 0.06 | 1.400000e+00 | 1.07 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| cncrage | 379265 | 0.06 | 5.777000e+01 | 18.12 | 1.000000e+00 | 4.700000e+01 | 5.900000e+01 | 6.900000e+01 | 9.900000e+01 | ▁▃▇▇▂ |
| cncrtyp1 | 379282 | 0.06 | 1.950000e+01 | 15.63 | 1.000000e+00 | 1.000000e+01 | 2.100000e+01 | 2.200000e+01 | 9.900000e+01 | ▆▇▁▁▁ |
| csrvtrt3 | 377950 | 0.06 | 2.850000e+00 | 1.63 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 5.000000e+00 | 9.000000e+00 | ▇▁▃▁▁ |
| csrvdoc1 | 388388 | 0.03 | 6.740000e+00 | 13.67 | 1.000000e+00 | 2.000000e+00 | 5.000000e+00 | 5.000000e+00 | 9.900000e+01 | ▇▁▁▁▁ |
| csrvsum | 388401 | 0.03 | 1.950000e+00 | 1.54 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| csrvrtrn | 388422 | 0.03 | 1.390000e+00 | 1.02 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| csrvinst | 391979 | 0.02 | 1.620000e+00 | 1.56 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| csrvinsr | 388442 | 0.03 | 1.130000e+00 | 0.78 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| csrvdein | 388451 | 0.03 | 1.980000e+00 | 0.52 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| csrvclin | 388459 | 0.03 | 2.030000e+00 | 0.69 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| csrvpain | 379939 | 0.05 | 2.030000e+00 | 0.92 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| csrvctl2 | 400105 | 0.00 | 2.180000e+00 | 1.48 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 3.000000e+00 | 9.000000e+00 | ▇▂▁▁▁ |
| pcpsade1 | 400117 | 0.00 | 2.150000e+00 | 1.12 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 3.000000e+00 | 9.000000e+00 | ▇▃▁▁▁ |
| hpvadvc4 | 386846 | 0.04 | 2.440000e+00 | 1.77 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| hpvadsht | 399179 | 0.01 | 2.101000e+01 | 32.28 | 1.000000e+00 | 2.000000e+00 | 3.000000e+00 | 3.000000e+00 | 9.900000e+01 | ▇▁▁▂▁ |
| tetanus1 | 394003 | 0.02 | 3.000000e+00 | 1.68 | 1.000000e+00 | 1.000000e+00 | 3.000000e+00 | 4.000000e+00 | 9.000000e+00 | ▅▇▁▁▁ |
| imfvpla1 | 394375 | 0.02 | 4.250000e+00 | 6.24 | 1.000000e+00 | 1.000000e+00 | 5.000000e+00 | 5.000000e+00 | 9.900000e+01 | ▇▁▁▁▁ |
| birthsex | 300719 | 0.25 | 1.560000e+00 | 0.63 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| somale | 291919 | 0.27 | 2.200000e+00 | 1.10 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| sofemale | 271880 | 0.32 | 2.270000e+00 | 1.21 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| trnsgndr | 161936 | 0.60 | 4.050000e+00 | 0.53 | 1.000000e+00 | 4.000000e+00 | 4.000000e+00 | 4.000000e+00 | 9.000000e+00 | ▁▇▁▁▁ |
| acedeprs | 272572 | 0.32 | 1.970000e+00 | 0.98 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| acedrink | 272753 | 0.32 | 1.880000e+00 | 0.92 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| acedrugs | 272819 | 0.32 | 2.000000e+00 | 0.86 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| aceprisn | 272878 | 0.32 | 2.010000e+00 | 0.81 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| acedivrc | 272915 | 0.32 | 1.940000e+00 | 1.19 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| acepunch | 272990 | 0.32 | 1.470000e+00 | 1.33 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| acehurt1 | 273103 | 0.32 | 1.550000e+00 | 1.31 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▂▁▁▁ |
| aceswear | 273191 | 0.32 | 1.770000e+00 | 1.41 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 3.000000e+00 | 9.000000e+00 | ▇▃▁▁▁ |
| acetouch | 273271 | 0.32 | 1.360000e+00 | 1.27 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| acetthem | 273360 | 0.32 | 1.300000e+00 | 1.23 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| acehvsex | 273459 | 0.32 | 1.250000e+00 | 1.20 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| rcsgendr | 346998 | 0.14 | 1.920000e+00 | 1.82 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| rcsrltn2 | 347440 | 0.14 | 1.740000e+00 | 1.79 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| casthdx2 | 352527 | 0.12 | 2.200000e+00 | 1.45 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| casthno2 | 396463 | 0.01 | 1.480000e+00 | 1.03 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| qstver | 0 | 1.00 | 1.747000e+01 | 4.68 | 1.000000e+01 | 1.200000e+01 | 2.000000e+01 | 2.000000e+01 | 2.300000e+01 | ▅▁▁▇▅ |
| qstlang | 0 | 1.00 | 1.040000e+00 | 0.19 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+01 | ▇▁▁▁▁ |
| metstat | 7127 | 0.98 | 1.310000e+00 | 0.46 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | ▇▁▁▁▃ |
| urbstat | 7127 | 0.98 | 1.150000e+00 | 0.36 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | ▇▁▁▁▂ |
| mscode | 279833 | 0.30 | 3.000000e+00 | 1.68 | 1.000000e+00 | 1.000000e+00 | 3.000000e+00 | 5.000000e+00 | 5.000000e+00 | ▆▃▃▁▇ |
| ststr | 0 | 1.00 | 3.018581e+05 | 157728.71 | 1.101100e+04 | 1.820590e+05 | 2.920890e+05 | 4.120190e+05 | 7.220190e+05 | ▆▇▇▆▁ |
| strwt | 0 | 1.00 | 8.171000e+01 | 167.00 | 3.400000e-01 | 1.578000e+01 | 4.154000e+01 | 8.167000e+01 | 1.540120e+03 | ▇▁▁▁▁ |
| rawrake | 0 | 1.00 | 1.210000e+00 | 0.55 | 3.300000e-01 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 5.000000e+00 | ▇▁▁▁▁ |
| wt2rake | 0 | 1.00 | 8.873000e+01 | 175.53 | 1.700000e-01 | 1.874000e+01 | 4.581000e+01 | 8.729000e+01 | 5.338970e+03 | ▇▁▁▁▁ |
| imprace | 0 | 1.00 | 1.720000e+00 | 1.46 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 6.000000e+00 | ▇▁▁▁▁ |
| chispnc | 125339 | 0.69 | 7.620000e+00 | 2.83 | 1.000000e+00 | 9.000000e+00 | 9.000000e+00 | 9.000000e+00 | 9.000000e+00 | ▂▁▁▁▇ |
| crace1 | 345583 | 0.14 | 8.090000e+00 | 23.46 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.900000e+01 | ▇▁▁▁▁ |
| cprace | 345583 | 0.14 | 8.090000e+00 | 23.46 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.900000e+01 | ▇▁▁▁▁ |
| cllcpwt | 347004 | 0.14 | 9.219500e+02 | 2372.58 | 7.700000e-01 | 1.315000e+02 | 3.163900e+02 | 7.530700e+02 | 1.023577e+05 | ▇▁▁▁▁ |
| dualuse | 0 | 1.00 | 5.640000e+00 | 3.79 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | 9.000000e+00 | 9.000000e+00 | ▆▁▁▁▇ |
| dualcor | 224237 | 0.44 | 5.300000e-01 | 0.13 | 4.000000e-02 | 4.400000e-01 | 5.200000e-01 | 6.100000e-01 | 9.600000e-01 | ▁▂▇▃▁ |
| llcpwt2 | 0 | 1.00 | 6.478500e+02 | 1119.44 | 3.690000e+00 | 1.498700e+02 | 3.373300e+02 | 7.198200e+02 | 2.002282e+04 | ▇▁▁▁▁ |
| llcpwt | 0 | 1.00 | 6.478500e+02 | 1418.40 | 9.600000e-01 | 1.134000e+02 | 2.822900e+02 | 6.639400e+02 | 8.319332e+04 | ▇▁▁▁▁ |
| rfhlth | 0 | 1.00 | 1.170000e+00 | 0.53 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| phys14d | 0 | 1.00 | 1.570000e+00 | 1.29 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| ment14d | 0 | 1.00 | 1.620000e+00 | 1.26 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| hcvu651 | 0 | 1.00 | 4.010000e+00 | 3.80 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | 9.000000e+00 | ▇▁▁▁▅ |
| totinda | 0 | 1.00 | 1.250000e+00 | 0.53 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| michd | 3571 | 0.99 | 1.910000e+00 | 0.28 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | ▁▁▁▁▇ |
| ltasth1 | 0 | 1.00 | 1.160000e+00 | 0.57 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| casthm1 | 0 | 1.00 | 1.150000e+00 | 0.73 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| asthms1 | 0 | 1.00 | 2.820000e+00 | 0.80 | 1.000000e+00 | 3.000000e+00 | 3.000000e+00 | 3.000000e+00 | 9.000000e+00 | ▁▇▁▁▁ |
| drdxar2 | 2303 | 0.99 | 1.690000e+00 | 0.46 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | ▃▁▁▁▇ |
| exteth3 | 0 | 1.00 | 1.650000e+00 | 1.26 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| alteth3 | 256096 | 0.36 | 1.870000e+00 | 2.33 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| denvst3 | 0 | 1.00 | 1.420000e+00 | 0.95 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| prace1 | 9 | 1.00 | 3.960000e+00 | 14.97 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.900000e+01 | ▇▁▁▁▁ |
| mrace1 | 9 | 1.00 | 4.060000e+00 | 14.97 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.900000e+01 | ▇▁▁▁▁ |
| hispanc | 0 | 1.00 | 2.000000e+00 | 0.83 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| race | 1 | 1.00 | 2.180000e+00 | 2.42 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| raceg21 | 1 | 1.00 | 1.420000e+00 | 1.22 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| racegr3 | 1 | 1.00 | 1.790000e+00 | 1.65 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| raceprv | 1 | 1.00 | 2.010000e+00 | 2.20 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 8.000000e+00 | ▇▁▁▁▁ |
| sex | 0 | 1.00 | 1.540000e+00 | 0.50 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 2.000000e+00 | ▇▁▁▁▇ |
| ageg5yr | 0 | 1.00 | 7.670000e+00 | 3.66 | 1.000000e+00 | 5.000000e+00 | 8.000000e+00 | 1.100000e+01 | 1.400000e+01 | ▅▅▅▇▅ |
| age65yr | 0 | 1.00 | 1.380000e+00 | 0.53 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 3.000000e+00 | ▇▁▅▁▁ |
| age80 | 0 | 1.00 | 5.443000e+01 | 17.67 | 1.800000e+01 | 4.000000e+01 | 5.700000e+01 | 6.900000e+01 | 8.000000e+01 | ▃▅▆▇▇ |
| age_g | 0 | 1.00 | 4.350000e+00 | 1.62 | 1.000000e+00 | 3.000000e+00 | 5.000000e+00 | 6.000000e+00 | 6.000000e+00 | ▅▃▃▅▇ |
| htin4 | 23808 | 0.94 | 6.699000e+01 | 4.19 | 3.600000e+01 | 6.400000e+01 | 6.700000e+01 | 7.000000e+01 | 9.500000e+01 | ▁▁▇▂▁ |
| htm4 | 21731 | 0.95 | 1.701200e+02 | 10.72 | 9.100000e+01 | 1.630000e+02 | 1.700000e+02 | 1.780000e+02 | 2.410000e+02 | ▁▁▇▂▁ |
| wtkg3 | 34948 | 0.91 | 8.232040e+03 | 2099.41 | 2.268000e+03 | 6.804000e+03 | 7.938000e+03 | 9.299000e+03 | 2.903000e+04 | ▆▇▁▁▁ |
| bmi5 | 41357 | 0.90 | 2.830630e+03 | 638.16 | 1.202000e+03 | 2.399000e+03 | 2.732000e+03 | 3.138000e+03 | 9.843000e+03 | ▇▅▁▁▁ |
| bmi5cat | 41357 | 0.90 | 2.980000e+00 | 0.83 | 1.000000e+00 | 2.000000e+00 | 3.000000e+00 | 4.000000e+00 | 4.000000e+00 | ▁▇▁▇▇ |
| rfbmi5 | 0 | 1.00 | 2.430000e+00 | 2.27 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| chldcnt | 0 | 1.00 | 1.670000e+00 | 1.46 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| educag | 0 | 1.00 | 3.020000e+00 | 1.04 | 1.000000e+00 | 2.000000e+00 | 3.000000e+00 | 4.000000e+00 | 9.000000e+00 | ▃▇▁▁▁ |
| incomg | 0 | 1.00 | 4.900000e+00 | 2.40 | 1.000000e+00 | 3.000000e+00 | 5.000000e+00 | 5.000000e+00 | 9.000000e+00 | ▃▃▇▁▃ |
| smoker3 | 0 | 1.00 | 3.650000e+00 | 1.56 | 1.000000e+00 | 3.000000e+00 | 4.000000e+00 | 4.000000e+00 | 9.000000e+00 | ▁▇▁▁▁ |
| rfsmok3 | 0 | 1.00 | 1.550000e+00 | 1.79 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| drnkany5 | 0 | 1.00 | 1.970000e+00 | 1.88 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| drocdy3 | 0 | 1.00 | 7.603000e+01 | 221.84 | 0.000000e+00 | 0.000000e+00 | 3.000000e+00 | 2.900000e+01 | 9.000000e+02 | ▇▁▁▁▁ |
| rfbing5 | 0 | 1.00 | 1.750000e+00 | 2.13 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| drnkwk1 | 0 | 1.00 | 7.905770e+03 | 26465.04 | 0.000000e+00 | 0.000000e+00 | 2.300000e+01 | 4.200000e+02 | 9.990000e+04 | ▇▁▁▁▁ |
| rfdrhv7 | 0 | 1.00 | 1.670000e+00 | 2.12 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| flshot7 | 256096 | 0.36 | 2.120000e+00 | 2.39 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| pneumo3 | 256096 | 0.36 | 2.310000e+00 | 2.67 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| rfseat2 | 0 | 1.00 | 1.570000e+00 | 1.97 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| rfseat3 | 0 | 1.00 | 1.640000e+00 | 1.97 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| drnkdrv | 0 | 1.00 | 5.650000e+00 | 3.51 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | 9.000000e+00 | 9.000000e+00 | ▇▁▁▁▇ |
| rfmam22 | 235983 | 0.41 | 1.880000e+00 | 2.10 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| mam5023 | 306666 | 0.24 | 1.220000e+00 | 0.41 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | ▇▁▁▁▂ |
| rfpap35 | 304555 | 0.24 | 1.220000e+00 | 0.42 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | ▇▁▁▁▂ |
| rfpsa23 | 275354 | 0.31 | 2.340000e+00 | 2.20 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
| clnscpy | 224036 | 0.44 | 1.580000e+00 | 0.87 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 3.000000e+00 | 3.000000e+00 | ▇▁▁▁▃ |
| sgmscpy | 230472 | 0.43 | 2.850000e+00 | 0.44 | 1.000000e+00 | 3.000000e+00 | 3.000000e+00 | 3.000000e+00 | 3.000000e+00 | ▁▁▁▁▇ |
| sgms10y | 230472 | 0.43 | 2.840000e+00 | 0.49 | 1.000000e+00 | 3.000000e+00 | 3.000000e+00 | 3.000000e+00 | 3.000000e+00 | ▁▁▁▁▇ |
| rfblds4 | 226105 | 0.44 | 2.580000e+00 | 0.67 | 1.000000e+00 | 2.000000e+00 | 3.000000e+00 | 3.000000e+00 | 3.000000e+00 | ▁▁▂▁▇ |
| stoldna | 225601 | 0.44 | 2.880000e+00 | 0.45 | 1.000000e+00 | 3.000000e+00 | 3.000000e+00 | 3.000000e+00 | 3.000000e+00 | ▁▁▁▁▇ |
| vircoln | 227684 | 0.43 | 2.940000e+00 | 0.33 | 1.000000e+00 | 3.000000e+00 | 3.000000e+00 | 3.000000e+00 | 3.000000e+00 | ▁▁▁▁▇ |
| sbontim | 207741 | 0.48 | 2.540000e+00 | 0.51 | 1.000000e+00 | 2.000000e+00 | 3.000000e+00 | 3.000000e+00 | 3.000000e+00 | ▁▁▆▁▇ |
| crcrec1 | 226260 | 0.44 | 1.420000e+00 | 0.76 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 3.000000e+00 | ▇▁▁▁▂ |
| aidtst4 | 34037 | 0.92 | 2.040000e+00 | 1.68 | 1.000000e+00 | 1.000000e+00 | 2.000000e+00 | 2.000000e+00 | 9.000000e+00 | ▇▁▁▁▁ |
La unidad de análisis corresponde a cada persona participante en la encuesta BRFSS 2020. Cada registro representa una observación individual y contiene respuestas relacionadas con condiciones de salud, comportamientos, características sociodemográficas y acceso a servicios sanitarios.
## [1] 401958## [1] 2.02e+09 2.02e+09 2.02e+09 2.02e+09 2.02e+09 2.02e+09La evaluación inicial de calidad permite identificar que la ausencia de información debe diferenciarse de los códigos utilizados por la encuesta para respuestas no aplicables, desconocidas o no respondidas. Por esta razón, durante la preparación no se eliminarán registros completos, sino que se realizará una depuración específica de las variables seleccionadas para el análisis.
# Porcentaje de datos faltantes por variable
faltantes <- datos %>%
summarise(across(everything(), ~mean(is.na(.)))) %>%
pivot_longer(
cols = everything(),
names_to = "variable",
values_to = "proporcion_faltante"
) %>%
arrange(desc(proporcion_faltante))
head(faltantes, 15)Seleccion de un conjunto pequeño de variables.
| Dominio | Variable BRFSS | Variable en español |
|---|---|---|
| Resultado | GENHLTH |
Estado general de salud |
| Salud física | PHYSHLTH |
Días de mala salud física |
| Salud mental | MENTHLTH |
Días de mala salud mental |
| Actividad | EXERANY2 |
Actividad física |
| Acceso | MEDCOST |
Dificultad económica para recibir atención |
| Acceso | PERSDOC2 |
Médico habitual |
| Sexo | SEXVAR |
Sexo |
| Edad | _AGEG5YR |
Grupo de edad |
| IMC | _BMI5CAT |
Categoría de IMC |
| Ingreso | INCOME2 |
Nivel de ingreso |
base_eda <- datos %>%
select(
estado_salud = genhlth,
dias_salud_fisica = physhlth,
dias_salud_mental = menthlth,
actividad_fisica = exerany2,
dificultad_costo = medcost,
medico_habitual = persdoc2,
sexo = sexvar,
grupo_edad = ageg5yr,
categoria_imc = bmi5cat,
nivel_ingreso = income2
)## [1] "state" "fmonth" "idate" "imonth" "iday" "iyear"
## [7] "dispcode" "seqno" "psu" "ctelenm1" "pvtresd1" "colghous"
## [13] "statere1" "celphone" "ladult1" "colgsex" "numadult" "landsex"
## [19] "nummen" "numwomen" "respslct" "safetime" "ctelnum1" "cellfon5"
## [25] "cadult1" "cellsex" "pvtresd3" "cclghous" "cstate1" "landline"
## [31] "hhadult" "sexvar" "genhlth" "physhlth" "menthlth" "poorhlth"
## [37] "hlthpln1" "persdoc2" "medcost" "checkup1" "exerany2" "sleptim1"
## [43] "cvdinfr4" "cvdcrhd4" "cvdstrk3" "asthma3" "asthnow" "chcscncr"
## [49] "chcocncr" "chccopd2" "havarth4" "addepev3" "chckdny2" "diabete4"
## [55] "diabage3" "lastden4" "rmvteth4" "marital" "educa" "renthom1"
## [61] "numhhol3" "numphon3" "cpdemo1b" "veteran3" "employ1" "children"
## [67] "income2" "pregnant" "weight2" "height3" "deaf" "blind"
## [73] "decide" "diffwalk" "diffdres" "diffalon" "smoke100" "smokday2"
## [79] "stopsmk2" "lastsmk2" "usenow3" "alcday5" "avedrnk3" "drnk3ge5"
## [85] "maxdrnks" "flushot7" "flshtmy3" "shingle2" "pneuvac4" "fall12mn"
## [91] "fallinj4" "seatbelt" "drnkdri2" "hadmam" "howlong" "hadpap2"
## [97] "lastpap2" "hpvtest" "hplsttst" "hadhyst2" "pcpsaad3" "pcpsadi1"
## [103] "pcpsare1" "psatest1" "psatime" "pcpsars1" "colnscpy" "colntest"
## [109] "sigmscpy" "sigmtest" "bldstol1" "lstblds4" "stooldna" "sdnatest"
## [115] "vircolon" "vclntest" "hivtst7" "hivtstd3" "hivrisk5" "pdiabtst"
## [121] "prediab1" "insulin1" "bldsugar" "feetchk3" "doctdiab" "chkhemo3"
## [127] "feetchk" "eyeexam1" "diabeye" "diabedu" "toldcfs" "havecfs"
## [133] "workcfs" "toldhepc" "trethepc" "prirhepc" "havehepc" "havehepb"
## [139] "medshepb" "hlthcvr1" "cimemlos" "cdhouse" "cdassist" "cdhelp"
## [145] "cdsocial" "cddiscus" "caregiv1" "crgvrel4" "crgvlng1" "crgvhrs1"
## [151] "crgvprb3" "crgvalzd" "crgvper1" "crgvhou1" "crgvexpt" "ecigaret"
## [157] "ecignow" "marijan1" "usemrjn2" "rsnmrjn1" "lcsfirst" "lcslast"
## [163] "lcsnumcg" "lcsctscn" "cncrdiff" "cncrage" "cncrtyp1" "csrvtrt3"
## [169] "csrvdoc1" "csrvsum" "csrvrtrn" "csrvinst" "csrvinsr" "csrvdein"
## [175] "csrvclin" "csrvpain" "csrvctl2" "pcpsade1" "pcdmdec1" "hpvadvc4"
## [181] "hpvadsht" "tetanus1" "imfvpla1" "birthsex" "somale" "sofemale"
## [187] "trnsgndr" "acedeprs" "acedrink" "acedrugs" "aceprisn" "acedivrc"
## [193] "acepunch" "acehurt1" "aceswear" "acetouch" "acetthem" "acehvsex"
## [199] "rcsgendr" "rcsrltn2" "casthdx2" "casthno2" "qstver" "qstlang"
## [205] "metstat" "urbstat" "mscode" "ststr" "strwt" "rawrake"
## [211] "wt2rake" "imprace" "chispnc" "crace1" "cprace" "cllcpwt"
## [217] "dualuse" "dualcor" "llcpwt2" "llcpwt" "rfhlth" "phys14d"
## [223] "ment14d" "hcvu651" "totinda" "michd" "ltasth1" "casthm1"
## [229] "asthms1" "drdxar2" "exteth3" "alteth3" "denvst3" "prace1"
## [235] "mrace1" "hispanc" "race" "raceg21" "racegr3" "raceprv"
## [241] "sex" "ageg5yr" "age65yr" "age80" "age_g" "htin4"
## [247] "htm4" "wtkg3" "bmi5" "bmi5cat" "rfbmi5" "chldcnt"
## [253] "educag" "incomg" "smoker3" "rfsmok3" "drnkany5" "drocdy3"
## [259] "rfbing5" "drnkwk1" "rfdrhv7" "flshot7" "pneumo3" "rfseat2"
## [265] "rfseat3" "drnkdrv" "rfmam22" "mam5023" "rfpap35" "rfpsa23"
## [271] "clnscpy" "sgmscpy" "sgms10y" "rfblds4" "stoldna" "vircoln"
## [277] "sbontim" "crcrec1" "aidtst4"## dias_salud_fisica dias_salud_mental
## Min. : 1.00 Min. : 1.00
## 1st Qu.:30.00 1st Qu.:15.00
## Median :88.00 Median :88.00
## Mean :66.14 Mean :61.45
## 3rd Qu.:88.00 3rd Qu.:88.00
## Max. :99.00 Max. :99.00
## NA's :5 NA's :5base_eda <- base_eda %>%
mutate(
dias_salud_fisica = case_when(
dias_salud_fisica == 88 ~ 0,
dias_salud_fisica %in% c(77, 99) ~ NA_real_,
TRUE ~ as.numeric(dias_salud_fisica)
),
dias_salud_mental = case_when(
dias_salud_mental == 88 ~ 0,
dias_salud_mental %in% c(77, 99) ~ NA_real_,
TRUE ~ as.numeric(dias_salud_mental)
)
)## dias_salud_fisica dias_salud_mental
## Min. : 0.000 Min. : 0.000
## 1st Qu.: 0.000 1st Qu.: 0.000
## Median : 0.000 Median : 0.000
## Mean : 3.458 Mean : 3.916
## 3rd Qu.: 2.000 3rd Qu.: 3.000
## Max. :30.000 Max. :30.000
## NA's :8691 NA's :7929La distribución de las variables categóricas permite identificar cómo se concentra la población según su percepción del estado de salud, actividad física, acceso económico a los servicios y sexo. Esta revisión constituye la base para seleccionar las relaciones que serán exploradas posteriormente.
##
## 1 2 3 4 5 7 9
## 81660 138139 119502 46239 15457 650 303##
## 1 2 7 9
## 305883 95393 451 228##
## 1 2 7 9
## 34568 366252 909 226##
## 1 2
## 183942 218016##
## 1 2 3 4 5 7 9
## 20.3 34.4 29.7 11.5 3.8 0.2 0.1La distribución permite identificar si la carga de mala salud física se concentra en pocos días o si existe una proporción relevante de personas con una mayor frecuencia de afectación. Desde la perspectiva de gestión, esta información puede orientar la identificación de grupos que potencialmente requieren mayor continuidad del seguimiento y utilización de servicios de salud.
La finalidad concreta es identificar la concentración y los valores extremos de días de afectación. > ¿La carga de días con mala salud física está concentrada o existen personas con niveles particularmente altos?
¿Qué patrón descriptivo se observa entre el estado general de salud y algunos factores relacionados con actividad física, carga de enfermedad física / mental y acceso a los servicios de salud?
Recategorización de variables a análisis comprensibles: GENHLTH y actividad física:
La comparación permite explorar si la percepción del estado generalde salud presenta un comportamiento diferente según la realización de actividad física. La utilidad administrativa de esta relación radica en identificar posibles grupos con mayor concentración de estados de salud desfavorables, que podrían requerir estrategias diferenciadas de promoción y prevención.
grafico_actividad <- base_eda %>%
filter(
!is.na(estado_salud_texto),
!is.na(actividad_fisica_texto)
) %>%
count(actividad_fisica_texto, estado_salud_texto) %>%
group_by(actividad_fisica_texto) %>%
mutate(porcentaje = n / sum(n) * 100) %>%
ggplot(
aes(
x = actividad_fisica_texto,
y = porcentaje,
fill = estado_salud_texto
)
) +
geom_col(position = "dodge") +
scale_fill_manual(
values = c(
"Excelente" = "#2E75B6",
"Muy buena" = "#70AD47",
"Buena" = "#A5A5A5",
"Regular" = "#4472C4",
"Mala" = "#595959"
)
) +
labs(
title = "Estado general de salud según actividad física",
x = "Realiza actividad física",
y = "Porcentaje de personas",
fill = "Estado de salud"
) +
theme_minimal()
ggplotly(grafico_actividad)Permite introducir una perspectiva integral de gestión.
La distribución conjunta de los días de afectación física y mental permite identificar si ambas dimensiones tienden a concentrarse de manera independiente o conjunta. Desde la gestión sanitaria, esta observación puede ser relevante para considerar la necesidad de abordajes integrales, especialmente en población con mayor carga de afectación.
grafico_fisico_mental <- base_eda %>%
filter(
!is.na(dias_salud_fisica),
!is.na(dias_salud_mental)
) %>%
ggplot(
aes(
x = dias_salud_fisica,
y = dias_salud_mental
)
) +
geom_point(
alpha = 0.15,
color = "#2E75B6"
) +
labs(
title = "Relación exploratoria entre salud física y salud mental",
x = "Días de mala salud física",
y = "Días de mala salud mental"
) +
theme_minimal()
ggplotly(grafico_fisico_mental)