Final report 2
2026-07-06
library(haven) library(dplyr) library(ggplot2) library(plotly) library(forcats) library(scales) library(tidyr) library(RColorBrewer)
data <- read_dta(“/Users/dr.pavi/Desktop/MPH/RESEARCH/SECONDARY RESERACH/CFP SEC DATA.dta”)
data <- data %>% haven::zap_labels() %>% mutate(across(where(haven::is.labelled), haven::as_factor)) %>% filter( !is.na(age_child_months), !is.na(sex_child) )
glimpse(data) summary(data) — title: “Data Visualization Capstone: Complementary Feeding Practices Among Children Aged 6–23 Months” author: “Dr. P. Thenmozhi” date: “2026-07-06” output: html_document: toc: true toc_float: true theme: cosmo —
Executive Summary
This report presents a series of data visualizations based on a study of children aged 6–23 months. The objective is to explore demographic characteristics, maternal factors, and complementary feeding practices using clear, informative, and publication-quality graphics. The report includes multiple visualization types along with one interactive figure to enhance interpretation and user engagement.
Introduction
Complementary feeding plays a vital role in ensuring optimal growth and development during the first two years of life. This report uses data collected from caregivers of children aged 6–23 months to visualize key demographic, socioeconomic, and health-related characteristics. The visualizations are designed to communicate findings clearly and support evidence-based public health decision-making.
Load Required Packages
library(haven)
library(dplyr)
library(ggplot2)
library(plotly)
library(forcats)
library(scales)
library(tidyr)
library(RColorBrewer)Import and Prepare Dataset
data <- read_dta("~/Desktop/MPH/RESEARCH/SECONDARY RESERACH/CFP SEC DATA.dta")
data <- data %>%
haven::zap_labels() %>%
mutate(across(where(haven::is.labelled), haven::as_factor)) %>%
filter(
!is.na(age_child_months),
!is.na(sex_child)
)
glimpse(data)## Rows: 62,135
## Columns: 1,781
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## $ v3a00m <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ v3a00n <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ v3a00o <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ v3a00p <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ v3a00q <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ v3a00r <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ v3a00s <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ v3a00t <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 1, 0, 0, NA, NA…
## $ v3a00u <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ v3a00v <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ v3a00w <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ v3a00x <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ v3a00y <dbl> NA, NA, NA, NA, NA, 1, NA, NA, 0, 1, 0, NA, NA…
## $ v3a00z <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 1, 0, 1, NA, NA…
## $ v3a01 <dbl> NA, NA, 1, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ v3a02 <dbl> 1, 0, 1, 1, 0, NA, 0, NA, NA, NA, NA, 1, 1, NA…
## $ v3a03 <dbl> NA, 1, NA, NA, 0, NA, 1, NA, NA, NA, NA, NA, N…
## $ v3a04 <dbl> 1, 0, 1, 1, NA, NA, 1, NA, NA, NA, NA, 1, 1, N…
## $ v3a05 <dbl> 1, 0, 0, 1, 1, NA, 0, 0, NA, NA, NA, 1, 1, NA,…
## $ v3a06 <dbl> NA, 1, 0, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA…
## $ v3a07 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v3a08a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, …
## $ v3a08b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, …
## $ v3a08c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, …
## $ v3a08d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, …
## $ v3a08e <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, …
## $ v3a08f <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, …
## $ v3a08g <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 1, 1, NA, NA, …
## $ v3a08h <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, …
## $ v3a08i <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, …
## $ v3a08j <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, …
## $ v3a08k <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, …
## $ v3a08l <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, …
## $ v3a08m <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, …
## $ v3a08n <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, …
## $ v3a08o <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v3a08p <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, …
## $ v3a08q <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, …
## $ v3a08r <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, …
## $ v3a08s <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, …
## $ v3a08t <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, …
## $ v3a08u <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, …
## $ v3a08v <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v3a08w <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, …
## $ v3a08aa <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, …
## $ v3a08ab <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v3a08ac <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v3a08ad <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v3a08x <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, …
## $ v3a08z <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, …
## $ v3a09a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v3a09b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v401 <dbl> 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1…
## $ v404 <dbl> 0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1…
## $ v405 <dbl> 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0…
## $ v406 <dbl> 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0…
## $ v407 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v408 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v409 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1…
## $ v409a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ juice <dbl> 1, 0, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0…
## $ v410a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ milk <dbl> 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1…
## $ baby_formula <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v412 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v412a <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v412b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ soup <dbl> 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ liquid <dbl> 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0…
## $ v413a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v413b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v413c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v413d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ meat <dbl> 1, 0, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0…
## $ v414b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v414c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v414d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ grains <dbl> 0, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1…
## $ tubers <dbl> 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ egg <dbl> 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1…
## $ v414h <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ yellow_veg <dbl> 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ green_veg <dbl> 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0…
## $ v414k <dbl> 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0…
## $ fruits <dbl> 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1…
## $ organs <dbl> 1, 0, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0…
## $ fish <dbl> 1, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ legumes <dbl> 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ milk_products <dbl> 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0…
## $ v414q <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v414r <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v414s <dbl> 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0…
## $ v414t <dbl> 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v414u <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v414v <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v414w <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v415 <dbl> 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0…
## $ v416 <dbl> 2, 2, 2, 2, 2, 2, 0, 2, 1, 1, 1, 2, 2, 2, 2, 2…
## $ v417 <dbl> 1, 1, 2, 2, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1…
## $ v418 <dbl> 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1…
## $ v418a <dbl> 1, 1, 2, 2, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1…
## $ v419 <dbl> 1, 1, 2, 2, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1…
## $ v420 <dbl> 22, 21, 21, 22, 21, 21, 21, 21, 22, 21, 22, 21…
## $ v421 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v426 <dbl> NA, 101, 0, 0, 101, 0, NA, NA, 101, 0, 0, 0, 0…
## $ v437 <dbl> 645, 499, 813, 771, 603, 483, 661, 534, 577, 5…
## $ v438 <dbl> 1631, 1514, 1594, 1615, 1531, 1548, 1636, 1614…
## $ v439 <dbl> 4594, 195, 2350, 3556, 376, 676, 4928, 3494, 2…
## $ v440 <dbl> -10, -206, -72, -37, -178, -149, -2, -39, -84,…
## $ v441 <dbl> 9963, 9248, 9737, 9865, 9352, 9456, 9993, 9859…
## $ v442 <dbl> 10003, 9473, 13473, 11669, 10676, 8083, 10192,…
## $ v443 <dbl> 11841, 10558, 15572, 14411, 12294, 9588, 12049…
## $ v444 <dbl> 12484, 12035, 16853, 15370, 14079, 10815, 1266…
## $ v444a <dbl> 0, -37, 204, 106, 45, -146, 13, -98, -46, -63,…
## $ v445 <dbl> 2425, 2177, 3200, 2956, 2573, 2014, 2468, 2048…
## $ v446 <dbl> 1487, 1438, 2007, 1830, 1680, 1301, 1508, 1269…
## $ v447 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v447a <dbl> 33, 22, 27, 37, 26, 33, 33, 25, 33, 25, 36, 36…
## $ v452a <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2…
## $ v452b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v452c <dbl> 7, 1, 1, 7, 1, 1, 1, 7, 7, 7, 1, 1, 1, 7, 7, 1…
## $ v453 <dbl> 102, 123, 110, 140, 104, 86, 116, 93, 113, 130…
## $ v454 <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v455 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v456 <dbl> 95, 116, 105, 135, 99, 80, 110, 87, 105, 122, …
## $ v457 <dbl> 2, 3, 2, 4, 2, 2, 3, 2, 2, 4, 1, 3, 2, 3, 4, 2…
## $ v458 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v459 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v460 <dbl> 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3…
## $ v461 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v462 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v463a <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v463b <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v463c <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v463d <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v463e <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v463f <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v463g <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v463h <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v463i <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v463j <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v463k <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v463l <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v463x <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v463z <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ v463aa <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v463ab <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v464 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v465 <dbl> 9, 9, 4, 4, 4, 9, 9, 9, 9, 9, 9, 9, 3, 3, 1, 4…
## $ v466 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v467a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v467b <dbl> 1, 2, 2, 2, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1…
## $ v467c <dbl> 1, 1, 2, 2, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1…
## $ v467d <dbl> 1, 1, 2, 2, 0, 0, 0, 0, 1, 1, 2, 2, 2, 2, 1, 1…
## $ v467e <dbl> 1, 1, 2, 2, 0, 0, 0, 0, 2, 2, 1, 1, 1, 1, 1, 1…
## $ v467f <dbl> 2, 1, 2, 0, 0, 0, 0, 0, 1, 2, 2, 2, 0, 0, 1, 2…
## $ v467g <dbl> 1, 1, 1, 0, 2, 0, 0, 2, 1, 2, 1, 1, 2, 1, 1, 1…
## $ v467h <dbl> 1, 1, 1, 2, 2, 0, 0, 0, 2, 1, 1, 1, 0, 1, 1, 1…
## $ v467i <dbl> 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1…
## $ v467j <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v467k <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v467l <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v467m <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v468 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ v469e <dbl> 1, 3, 3, 3, 2, NA, NA, NA, 1, 1, NA, NA, 2, 2,…
## $ v469f <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v469x <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v471a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v471b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v471c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v471d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v471e <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v471f <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v471g <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v472a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v472b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v472c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v472d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v472e <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v472f <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v472g <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v472h <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v472i <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v472j <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v472k <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v472l <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v472m <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v472n <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v472o <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v472p <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v472q <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v472r <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v472s <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v472t <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v472u <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v473a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v473b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v474 <dbl> 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0…
## $ v474a <dbl> 1, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0…
## $ v474b <dbl> 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v474c <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v474d <dbl> 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0…
## $ v474e <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v474f <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v474g <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v474h <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v474i <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v474j <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v474x <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v474z <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v475 <dbl> 1, NA, NA, 1, 1, 0, 1, 0, NA, NA, 1, 1, 1, 1, …
## $ v476 <dbl> 0, NA, NA, 0, 0, 0, 0, 1, NA, NA, 0, 0, 1, 0, …
## $ v477 <dbl> 10, 18, 0, 0, 5, 3, 0, 1, 7, 7, 16, 11, 6, 2, …
## $ v478 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v479 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v480 <dbl> 1, 1, NA, NA, 0, 1, NA, 1, 1, 1, 1, 1, 1, 1, 1…
## $ v481 <dbl> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v481a <dbl> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v481b <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v481c <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v481d <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v481e <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v481f <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v481g <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v481h <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v481x <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v482a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v482b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v482c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ marital_status_mother <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ v502 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ v503 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ v504 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ v505 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v506 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v507 <dbl> 3, 5, 4, 1, 4, 4, 6, 6, 8, 1, 4, 10, 7, 3, 5, …
## $ v508 <dbl> 2015, 2017, 2011, 2007, 2016, 2017, 2011, 2017…
## $ v509 <dbl> 1383, 1409, 1336, 1285, 1396, 1408, 1338, 1410…
## $ v510 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ v511 <dbl> 28, 19, 19, 24, 22, 31, 24, 23, 19, 20, 35, 33…
## $ v512 <dbl> 4, 2, 8, 12, 3, 2, 8, 2, 14, 4, 1, 2, 11, 1, 4…
## $ v513 <dbl> 1, 1, 2, 3, 1, 1, 2, 1, 3, 1, 1, 1, 3, 1, 1, 1…
## $ v525 <dbl> 96, 96, 19, 25, 23, 31, 22, 23, 96, 96, 35, 33…
## $ v527 <dbl> NA, NA, NA, NA, NA, 998, 102, NA, NA, NA, NA, …
## $ v528 <dbl> NA, NA, NA, NA, NA, 98, 2, NA, NA, NA, NA, NA,…
## $ v529 <dbl> NA, NA, NA, NA, NA, 997, 0, NA, NA, NA, NA, NA…
## $ v530 <dbl> NA, NA, NA, NA, NA, 5, 0, NA, NA, NA, NA, NA, …
## $ v531 <dbl> 28, 19, 19, 25, 23, 31, 22, 23, 19, 20, 35, 33…
## $ v532 <dbl> 0, 0, 0, 6, 6, 0, 0, 0, 0, 0, 0, 0, 6, 0, 6, 0…
## $ v535 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v536 <dbl> NA, NA, NA, NA, NA, NA, 1, NA, NA, NA, NA, NA,…
## $ v537 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v538 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v539 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v540 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v541 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v602 <dbl> 1, 1, 4, 3, 1, 2, 3, 1, 3, 3, 2, 1, 1, 1, 1, 1…
## $ v603 <dbl> 203, 201, NA, NA, 203, NA, NA, 204, NA, NA, NA…
## $ v604 <dbl> 3, 1, NA, NA, 3, NA, NA, 4, NA, NA, NA, 2, 4, …
## $ v605 <dbl> 2, 1, 6, 5, 2, 4, 5, 2, 5, 5, 4, 2, 2, 2, 1, 2…
## $ v613 <dbl> 3, 4, 4, 2, 3, 0, 3, 2, 4, 3, 6, 3, 4, 3, 4, 4…
## $ v614 <dbl> 3, 4, 4, 2, 3, 0, 3, 2, 4, 3, 6, 3, 4, 3, 4, 4…
## $ v616 <dbl> 203, 201, NA, NA, 203, NA, NA, 204, NA, NA, NA…
## $ v621 <dbl> 1, 1, NA, 1, 1, 2, 1, 1, 1, 1, 8, 2, 1, 1, 1, …
## $ v623 <dbl> 2, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0…
## $ v624 <dbl> 3, 3, 4, 4, 3, 7, 4, 3, 2, 4, 7, 3, 3, 1, 7, 3…
## $ v625 <dbl> 2, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0…
## $ v626 <dbl> 3, 3, 4, 4, 3, 7, 4, 3, 2, 4, 7, 3, 3, 1, 7, 3…
## $ v625a <dbl> 2, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0…
## $ v626a <dbl> 3, 3, 4, 4, 3, 7, 4, 3, 2, 4, 7, 3, 3, 1, 7, 3…
## $ v627 <dbl> 2, 2, 2, 1, 1, 0, 2, 1, 2, 2, 4, 1, 2, 2, 2, 2…
## $ v628 <dbl> 1, 2, 2, 1, 1, 0, 1, 1, 2, 1, 2, 2, 2, 1, 2, 2…
## $ v629 <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ v631 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v632 <dbl> 3, 3, 3, 3, 3, NA, 3, 3, NA, NA, NA, 3, 3, NA,…
## $ v632a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v633a <dbl> 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1…
## $ v633b <dbl> 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1…
## $ v633c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v633d <dbl> 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1…
## $ v633e <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v633f <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v633g <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v634 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ father_edu <dbl> NA, NA, NA, NA, NA, 2, 3, NA, NA, NA, NA, NA, …
## $ v702 <dbl> NA, NA, NA, NA, NA, 5, 3, NA, NA, NA, NA, NA, …
## $ v704 <dbl> NA, NA, NA, NA, NA, 33, 16, NA, NA, NA, NA, NA…
## $ v704a <dbl> NA, NA, NA, NA, NA, 1, 1, NA, NA, NA, NA, NA, …
## $ father_occupation <dbl> NA, NA, NA, NA, NA, 3, 1, NA, NA, NA, NA, NA, …
## $ v714 <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ v714a <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ v715 <dbl> NA, NA, NA, NA, NA, 10, 15, NA, NA, NA, NA, NA…
## $ income_source <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ mother_occupation <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ v719 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v721 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v729 <dbl> NA, NA, NA, NA, NA, 3, 5, NA, NA, NA, NA, NA, …
## $ father_age_marriage <dbl> NA, NA, NA, NA, NA, 35, 36, NA, NA, NA, NA, NA…
## $ v731 <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ v732 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ earning_power <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v740 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v741 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v743a <dbl> NA, NA, NA, NA, NA, 4, 2, NA, NA, NA, NA, NA, …
## $ purchase_power <dbl> NA, NA, NA, NA, NA, 2, 2, NA, NA, NA, NA, NA, …
## $ v743c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v743d <dbl> NA, NA, NA, NA, NA, 2, 2, NA, NA, NA, NA, NA, …
## $ v743e <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v743f <dbl> NA, NA, NA, NA, NA, 4, 2, NA, NA, NA, NA, NA, …
## $ v744a <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ v744b <dbl> NA, NA, NA, NA, NA, 0, 1, NA, NA, NA, NA, NA, …
## $ v744c <dbl> NA, NA, NA, NA, NA, 0, 1, NA, NA, NA, NA, NA, …
## $ v744d <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ v744e <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ v745a <dbl> NA, NA, NA, NA, NA, 3, 3, NA, NA, NA, NA, NA, …
## $ v745b <dbl> NA, NA, NA, NA, NA, 3, 3, NA, NA, NA, NA, NA, …
## $ v745c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v745d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ v746 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ bidx <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ birth_order <dbl> 1, 1, 3, 3, 2, 1, 2, 1, 3, 2, 1, 1, 3, 1, 1, 1…
## $ b0 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ b1 <dbl> 3, 6, 9, 11, 2, 8, 9, 4, 5, 3, 3, 8, 6, 1, 7, …
## $ b2 <dbl> 2018, 2018, 2018, 2018, 2019, 2018, 2018, 2018…
## $ b3 <dbl> 1419, 1422, 1425, 1427, 1430, 1424, 1425, 1420…
## $ sex_child <dbl> 2, 2, 2, 1, 1, 1, 2, 1, 1, 2, 1, 2, 2, 2, 1, 1…
## $ b5 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ b6 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ b7 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ b8 <dbl> 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1…
## $ b9 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ b10 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ birth_interval <dbl> NA, NA, 40, 42, 17, NA, 74, NA, 50, 22, NA, NA…
## $ b12 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ b13 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ b15 <dbl> NA, NA, 0, 0, 0, NA, 0, NA, 0, 0, NA, NA, 0, N…
## $ b16 <dbl> 3, 3, 5, 5, 6, 5, 4, 5, 5, 4, 5, 3, 6, 3, 6, 8…
## $ b17 <dbl> 4, 23, 3, 15, 12, 8, 7, 12, 4, 1, 13, 25, 9, 1…
## $ b18 <dbl> 43163, 43274, 43346, 43419, 43508, 43320, 4335…
## $ b19 <dbl> 18, 14, 14, 12, 9, 15, 14, 19, 16, 6, 6, 12, 1…
## $ b20 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m1 <dbl> 3, 2, 2, 2, 2, 2, 2, 2, 3, 3, 2, 2, 2, 2, 2, 2…
## $ m1a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m1b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m1c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m1d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m1e <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m2a <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1…
## $ m2b <dbl> 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1…
## $ m2c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m2d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m2e <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m2f <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m2g <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m2h <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ received_anc <dbl> 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m2j <dbl> 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0…
## $ m2k <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m2l <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m2m <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m2n <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m3a <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ seen_by_anm <dbl> 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0…
## $ m3c <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m3d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m3e <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m3f <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ seen_by_tba <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m3h <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m3i <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m3j <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m3k <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m3l <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m3m <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m3n <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ breastfeeding <dbl> 94, 95, 95, 95, 95, 9, 94, 94, 95, 95, 95, 95,…
## $ m5 <dbl> 94, 14, 14, 12, 9, 9, 94, 94, 16, 6, 6, 12, 15…
## $ m6 <dbl> 96, 1, 4, 4, 6, 3, 5, 3, 2, 2, 96, 9, 6, 5, 6,…
## $ m7 <dbl> 18, 1, 4, 4, 6, 3, 5, 3, 2, 2, 6, 9, 6, 5, 6, …
## $ m8 <dbl> 96, 3, 3, 3, 8, 6, 7, 6, 96, 96, 96, 12, 5, 7,…
## $ m9 <dbl> 18, 3, 3, 3, 8, 6, 7, 6, 16, 6, 6, 12, 5, 7, 9…
## $ m10 <dbl> 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ m11 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m13 <dbl> 4, 4, 2, 2, 3, 2, 2, 2, 3, 2, 2, 2, 2, 2, 3, 3…
## $ m14 <dbl> 1, 10, 8, 10, 8, 2, 7, 4, 1, 2, 13, 13, 10, 10…
## $ m15 <dbl> 21, 21, 21, 24, 24, 21, 21, 13, 25, 21, 24, 24…
## $ delivery_type <dbl> 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1…
## $ m17a <dbl> 1, NA, 2, 2, NA, NA, NA, NA, NA, NA, NA, 1, NA…
## $ birth_size <dbl> 5, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 5, 3, 3, 3, 3…
## $ birth_weight <dbl> 2300, 2700, 3000, 3000, 3000, 3000, 3000, 2500…
## $ m19a <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 2, 2, 0, 1…
## $ m27 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m28 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m29 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m34 <dbl> NA, 101, 0, 0, 101, 0, NA, NA, 101, 0, 0, 0, 0…
## $ m35 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m36 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m38 <dbl> 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0…
## $ cf_practice <dbl> 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1…
## $ meal_count <dbl> 4, 2, 3, 5, 2, 2, 2, 0, 2, 0, 1, 2, 2, 1, 0, 2…
## $ m42a <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ m42b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m42c <dbl> 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ m42d <dbl> 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ m42e <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ m43 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ m44 <dbl> 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1…
## $ m45 <dbl> 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1…
## $ m46 <dbl> 90, 90, 80, 70, 60, NA, 30, NA, 100, 100, 60, …
## $ m47 <dbl> 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0…
## $ m48 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m49a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m49b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m49c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m49d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m49e <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m49f <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m49g <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m49x <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m49z <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m49y <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m54 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m55 <dbl> NA, 0, 0, 0, 0, 0, NA, NA, 1, 0, 0, 0, 0, 0, N…
## $ m55a <dbl> NA, 0, 0, 0, 0, 0, NA, NA, 0, 0, 0, 0, 0, 0, N…
## $ m55b <dbl> NA, 0, 0, 0, 0, 0, NA, NA, 1, 0, 0, 0, 0, 0, N…
## $ m55c <dbl> NA, 0, 0, 0, 0, 0, NA, NA, 0, 0, 0, 0, 0, 0, N…
## $ m55d <dbl> NA, 0, 0, 0, 0, 0, NA, NA, 0, 0, 0, 0, 0, 0, N…
## $ m55e <dbl> NA, 0, 0, 0, 0, 0, NA, NA, 0, 0, 0, 0, 0, 0, N…
## $ m55f <dbl> NA, 0, 0, 0, 0, 0, NA, NA, 1, 0, 0, 0, 0, 0, N…
## $ m55g <dbl> NA, 0, 0, 0, 0, 0, NA, NA, 0, 0, 0, 0, 0, 0, N…
## $ m55h <dbl> NA, 0, 0, 0, 0, 0, NA, NA, 1, 0, 0, 0, 0, 0, N…
## $ m55i <dbl> NA, 0, 0, 0, 0, 0, NA, NA, 0, 0, 0, 0, 0, 0, N…
## $ m55j <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m55k <dbl> NA, 0, 0, 0, 0, 0, NA, NA, 0, 0, 0, 0, 0, 0, N…
## $ m55l <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m55m <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m55n <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m55o <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m55x <dbl> NA, 0, 0, 0, 0, 0, NA, NA, 0, 0, 0, 0, 0, 0, N…
## $ m55z <dbl> NA, 1, 1, 1, 1, 1, NA, NA, 0, 1, 1, 1, 1, 1, N…
## $ m57a <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m57b <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m57c <dbl> 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m57d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m57e <dbl> 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1…
## $ m57f <dbl> 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m57g <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m57h <dbl> 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0…
## $ m57i <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1…
## $ m57j <dbl> 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1…
## $ received_pnc <dbl> 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1…
## $ m57l <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m57m <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m57n <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m57o <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m57p <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m57q <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m57r <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m57s <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m57t <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m57u <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m57v <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m57x <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m60 <dbl> 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m61 <dbl> 115, 203, 102, 102, 202, 201, 201, NA, 101, 10…
## $ m62 <dbl> 1, 1, 1, 1, 1, 0, 1, NA, 1, 1, 1, 1, 1, 1, 0, …
## $ m63 <dbl> 304, 102, 101, 102, 102, NA, 101, NA, 101, 101…
## $ m64 <dbl> 11, 12, 11, 11, 11, NA, 11, NA, 11, 11, 11, 11…
## $ m65a <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m65b <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m65c <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m65d <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m65e <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m65f <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m65g <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m65h <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m65i <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m65j <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m65k <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m65l <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m65x <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ m66 <dbl> 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1…
## $ m67 <dbl> 202, NA, 102, 201, 104, NA, 105, 101, 201, 102…
## $ m68 <dbl> 11, NA, 11, 11, 11, NA, 11, 12, 11, 11, NA, NA…
## $ m69 <dbl> 21, NA, 24, 24, 24, NA, 21, 13, 21, 21, NA, NA…
## $ m70 <dbl> 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0…
## $ m71 <dbl> 303, NA, 202, NA, 105, NA, NA, 202, 202, 102, …
## $ m72 <dbl> 21, NA, 11, NA, 11, NA, NA, 12, 11, 11, NA, NA…
## $ m73 <dbl> 21, NA, 24, NA, 24, NA, NA, 13, 21, 25, NA, NA…
## $ m74 <dbl> 1, 1, 1, 1, 1, 1, 1, NA, 1, 1, 1, 1, 1, 1, 1, …
## $ m75 <dbl> 202, 101, 102, 103, 103, 201, 102, NA, 101, 10…
## $ m76 <dbl> 11, 11, 11, 11, 11, 11, 11, NA, 11, 11, 11, 11…
## $ m77 <dbl> 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0…
## $ m78a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m78b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m78c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m78d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m78e <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m78f <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m78g <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m78h <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m78i <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ m78j <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ hidx <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ h1 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1…
## $ h1a <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1…
## $ h2 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1…
## $ h2d <dbl> 5, 24, 3, 15, 12, 8, 7, 12, 4, 13, 13, 25, 9, …
## $ h2m <dbl> 3, 6, 9, 11, 2, 8, 9, 4, 5, 3, 3, 8, 6, 1, NA,…
## $ h2y <dbl> 2018, 2018, 2018, 2018, 2019, 2018, 2018, 2018…
## $ h3 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1…
## $ h3d <dbl> 27, 10, 17, 12, 14, 11, 8, 8, 20, 17, 28, 10, …
## $ h3m <dbl> 4, 8, 10, 12, 4, 10, 11, 6, 6, 4, 4, 10, 8, 3,…
## $ h3y <dbl> 2018, 2018, 2018, 2018, 2019, 2018, 2018, 2018…
## $ h4 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1…
## $ h4d <dbl> 27, 10, 17, 12, 14, 11, 8, 8, 20, 17, 28, 10, …
## $ h4m <dbl> 4, 8, 10, 12, 4, 10, 11, 6, 6, 4, 4, 10, 8, 3,…
## $ h4y <dbl> 2018, 2018, 2018, 2018, 2019, 2018, 2018, 2018…
## $ h5 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1…
## $ h5d <dbl> 27, 17, 21, 17, 18, 21, 15, 21, 21, 22, 15, 26…
## $ h5m <dbl> 5, 9, 11, 1, 5, 12, 1, 8, 7, 5, 7, 1, 9, 4, NA…
## $ h5y <dbl> 2018, 2018, 2018, 2019, 2019, 2018, 2019, 2018…
## $ h6 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1…
## $ h6d <dbl> 27, 17, 21, 17, 18, 21, 15, 21, 21, 22, 15, 26…
## $ h6m <dbl> 5, 9, 11, 1, 5, 12, 1, 8, 7, 5, 7, 1, 9, 4, NA…
## $ h6y <dbl> 2018, 2018, 2018, 2019, 2019, 2018, 2019, 2018…
## $ h7 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 2, 1…
## $ h7d <dbl> 29, 22, 23, 18, 22, 4, 6, 5, 21, 22, NA, 16, 2…
## $ h7m <dbl> 6, 10, 12, 2, 6, 2, 3, 10, 8, 6, NA, 5, 10, 5,…
## $ h7y <dbl> 2018, 2018, 2018, 2019, 2019, 2019, 2019, 2018…
## $ h8 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1…
## $ h8d <dbl> 29, 22, 23, 18, 22, 4, 6, 5, 21, 22, NA, 16, 2…
## $ h8m <dbl> 6, 10, 12, 2, 6, 2, 3, 10, 8, 6, NA, 5, 10, 5,…
## $ h8y <dbl> 2018, 2018, 2018, 2019, 2019, 2019, 2019, 2018…
## $ h9 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 0, 1, 1, 4, 2, 1…
## $ h9d <dbl> 12, 12, 14, 22, 24, 11, 4, 24, 25, NA, NA, 3, …
## $ h9m <dbl> 1, 5, 6, 7, 10, 5, 6, 1, 2, NA, NA, 7, 5, NA, …
## $ h9y <dbl> 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019…
## $ h9a <dbl> 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0…
## $ h9ad <dbl> 25, NA, NA, NA, NA, NA, NA, 11, NA, NA, NA, NA…
## $ h9am <dbl> 7, NA, NA, NA, NA, NA, NA, 9, NA, NA, NA, NA, …
## $ h9ay <dbl> 2019, NA, NA, NA, NA, NA, NA, 2019, NA, NA, NA…
## $ h0 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1…
## $ h0d <dbl> 5, 24, 3, 15, 12, 8, 7, 12, 4, 1, 13, 25, 9, 1…
## $ h0m <dbl> 3, 6, 9, 11, 2, 8, 9, 4, 5, 3, 3, 8, 6, 1, NA,…
## $ h0y <dbl> 2018, 2018, 2018, 2018, 2019, 2018, 2018, 2018…
## $ h10 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h33 <dbl> 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 0, 2, 2…
## $ h33d <dbl> 25, NA, 14, 22, 24, 11, 4, 24, 25, NA, NA, NA,…
## $ h33m <dbl> 7, NA, 6, 7, 10, 5, 6, 1, 2, NA, NA, NA, NA, N…
## $ h33y <dbl> 2019, NA, 2019, 2019, 2019, 2019, 2019, 2019, …
## $ h35 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h36a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h36b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h36c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h36d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h36e <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h36f <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h40 <dbl> 1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1…
## $ h40d <dbl> 12, 12, NA, NA, NA, NA, NA, 11, 25, NA, NA, NA…
## $ h40m <dbl> 1, 5, NA, NA, NA, NA, NA, 9, 2, NA, NA, NA, 5,…
## $ h40y <dbl> 2019, 2019, NA, NA, NA, NA, NA, 2019, 2019, NA…
## $ h41a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h41b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h50 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1…
## $ h50d <dbl> 5, 24, 3, 15, 12, 8, 7, 12, 4, 1, 13, 25, 9, 1…
## $ h50m <dbl> 3, 6, 9, 11, 2, 8, 9, 4, 5, 3, 3, 8, 6, 1, NA,…
## $ h50y <dbl> 2018, 2018, 2018, 2018, 2019, 2018, 2018, 2018…
## $ h51 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1…
## $ h51d <dbl> 27, 10, 17, 12, 14, 11, 8, 8, 20, 17, 28, 10, …
## $ h51m <dbl> 4, 8, 10, 12, 4, 10, 11, 6, 6, 4, 4, 10, 8, 3,…
## $ h51y <dbl> 2018, 2018, 2018, 2018, 2019, 2018, 2018, 2018…
## $ h52 <dbl> 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1…
## $ h52d <dbl> 27, NA, 21, 17, 18, 21, 15, 21, 21, 22, 15, 26…
## $ h52m <dbl> 5, NA, 11, 1, 5, 12, 1, 8, 7, 5, 7, 1, 9, 4, N…
## $ h52y <dbl> 2018, NA, 2018, 2019, 2019, 2018, 2019, 2018, …
## $ h53 <dbl> 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 2, 1…
## $ h53d <dbl> 29, NA, 23, 18, 22, 4, 6, 5, 21, 22, NA, 16, 2…
## $ h53m <dbl> 6, NA, 12, 2, 6, 2, 3, 10, 8, 6, NA, 5, 10, 5,…
## $ h53y <dbl> 2018, NA, 2018, 2019, 2019, 2019, 2019, 2018, …
## $ h54 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h54d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h54m <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h54y <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h55 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h55d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h55m <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h55y <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h56 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h56d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h56m <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h56y <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h57 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ h57d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h57m <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h57y <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h58 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ h58d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h58m <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h58y <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h59 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ h59d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h59m <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h59y <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h60 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h60d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h60m <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h60y <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h61 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1…
## $ h61d <dbl> 27, 10, 17, 12, 14, 11, 8, 8, 20, 17, 28, 10, …
## $ h61m <dbl> 4, 8, 10, 12, 4, 10, 11, 6, 6, 4, 4, 10, 8, 3,…
## $ h61y <dbl> 2018, 2018, 2018, 2018, 2019, 2018, 2018, 2018…
## $ h62 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1…
## $ h62d <dbl> 27, 17, 21, 17, 18, 21, 15, 21, 21, 22, 15, 26…
## $ h62m <dbl> 5, 9, 11, 1, 5, 12, 1, 8, 7, 5, 7, 1, 9, 4, NA…
## $ h62y <dbl> 2018, 2018, 2018, 2019, 2019, 2018, 2019, 2018…
## $ h63 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 2, 1…
## $ h63d <dbl> 29, 22, 23, 18, 22, 5, 11, 11, 21, 22, NA, 16,…
## $ h63m <dbl> 6, 10, 12, 2, 6, 3, 4, 11, 8, 6, NA, 5, 10, 5,…
## $ h63y <dbl> 2018, 2018, 2018, 2019, 2019, 2019, 2019, 2018…
## $ h64 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h64d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h64m <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h64y <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h65 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h65d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h65m <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h65y <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h66 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h66d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h66m <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h66y <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h80a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h80b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h80c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h80d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h80e <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h80f <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h80g <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ hidxa <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ h11 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 2, 2, 2, 0, 0, 0, 0, 0…
## $ h11b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h12a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h12b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h12c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h12d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h12e <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 1, NA, N…
## $ h12f <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h12g <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 1, 0, 0, NA, N…
## $ h12h <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h12i <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h12j <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h12k <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h12l <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h12m <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h12n <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h12o <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h12p <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h12q <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h12r <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h12s <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h12t <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h12u <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h12v <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h12w <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h12x <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h12y <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 1, 0, NA, N…
## $ h12z <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 1, 0, 1, NA, N…
## $ h13 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 2, 2, 2, NA, N…
## $ h13b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h14 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h15 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h15a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h15b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h15c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h15d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h15e <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h15f <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h15g <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h15h <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h15i <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h15j <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h15k <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h15l <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h15m <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h20 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ h21a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 1, 1, 1, NA, N…
## $ h21 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 1, 1, 1, NA, N…
## $ h22 <dbl> 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ h31 <dbl> 2, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2…
## $ h31b <dbl> 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1…
## $ h31c <dbl> 2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h31d <dbl> 2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h31e <dbl> 2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h32a <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h32b <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h32c <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h32d <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h32e <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h32f <dbl> 1, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h32g <dbl> 1, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h32h <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h32i <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h32j <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h32k <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h32l <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h32m <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h32n <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h32o <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h32p <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h32q <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h32r <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h32s <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h32t <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h32u <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h32v <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h32w <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h32x <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h32y <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h32z <dbl> 1, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h34 <dbl> 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1…
## $ h37a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h37b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h37c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h37d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h37da <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h37e <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h37aa <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h37ab <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h37f <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h37g <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h37h <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h37i <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h37j <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h37k <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h37l <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h37m <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h37n <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h37o <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h37p <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h37x <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h37y <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h37z <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h38 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 4, 4, 4, NA, N…
## $ h39 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 4, 4, 0, NA, N…
## $ h42 <dbl> 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0…
## $ h43 <dbl> 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0…
## $ h44a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 17, NA, 15, NA…
## $ h44b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 2, NA, 2, NA, …
## $ h44c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h45 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h46a <dbl> 17, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ h46b <dbl> 2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ h47 <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ hwidx <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ age_child_months <dbl> 18, 14, 14, 12, 9, 15, 14, 19, 16, 6, 6, 12, 1…
## $ hw2 <dbl> 114, 75, 81, 83, 53, 73, 83, 78, 88, 70, 45, 7…
## $ hw3 <dbl> 692, 725, 691, 691, 612, 901, 902, 913, 739, 6…
## $ hw4 <dbl> 9998, 467, 22, 34, 0, 9998, 9998, 9998, 67, 69…
## $ hw5 <dbl> 9998, -168, -285, -270, -440, 9998, 9998, 9998…
## $ hw6 <dbl> 99998, 9364, 8920, 9042, 8405, 99998, 99998, 9…
## $ hw7 <dbl> 9998, 79, 302, 295, 0, 9998, 9998, 9998, 150, …
## $ hw8 <dbl> 9998, -241, -188, -189, -413, 9998, 9998, 9998…
## $ hw9 <dbl> 99998, 7367, 7951, 8115, 5689, 99998, 99998, 9…
## $ hw10 <dbl> 9998, 334, 4822, 5021, 1447, 9998, 9998, 9998,…
## $ hw11 <dbl> 9998, -183, -4, 1, -106, 9998, 9998, 9998, -10…
## $ hw12 <dbl> 99998, 8316, 9957, 10005, 8834, 99998, 99998, …
## $ hw13 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ hw15 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ hw16 <dbl> 4, 23, 3, 15, 12, 8, 7, 12, 4, 1, 13, 25, 9, 1…
## $ hw17 <dbl> 13, 13, 25, 24, 26, 2, 30, 3, 29, 27, 15, 16, …
## $ hw18 <dbl> 9, 9, 11, 11, 11, 12, 11, 12, 9, 9, 9, 9, 9, 9…
## $ hw19 <dbl> 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019…
## $ hw51 <dbl> 2, 2, 1, 2, 2, 4, 2, 4, 2, 2, 4, 2, 3, 2, 1, 1…
## $ hw52 <dbl> 1, 1, 7, 7, 7, 1, 1, 7, 7, 1, 7, 1, 7, 7, 1, 1…
## $ hw53 <dbl> 85, 106, 84, 94, 84, 96, 98, 83, 82, 83, 135, …
## $ hw55 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ hw56 <dbl> 78, 99, 79, 89, 79, 90, 92, 77, 74, 75, 129, 7…
## $ anemia <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 4, 1, 1, 1…
## $ hw58 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ stunting <dbl> -405, -171, -297, -292, -501, 392, 476, 264, -…
## $ hw71 <dbl> 78, -201, -136, -143, -454, -324, -116, -327, …
## $ wasting <dbl> 368, -165, 17, 12, -218, 9998, -470, 9998, -71…
## $ overweight <dbl> 455, -137, 64, 45, -243, 9998, 9998, 9998, -18…
## $ idxml <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ ml0 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ ml1 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml2 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml11 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml12 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml13a <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ ml13b <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ ml13c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml13d <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ ml13da <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml13e <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ ml13aa <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml13ab <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml13f <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ ml13g <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ ml13h <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ ml13i <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml13j <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml13k <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ ml13l <dbl> 1, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ ml13m <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ ml13n <dbl> 1, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ ml13o <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml13p <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml13x <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ ml13y <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ ml13z <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ ml14a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml14b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml14y <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml14z <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml15a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml15b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml15c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml16a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml16b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml16c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml17a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml17b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml17c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml18a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml18b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml18c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml19a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml19b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml19c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml19d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml19e <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml19f <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml19x <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml19y <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml19z <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml20a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml20b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml20c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml21a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml21b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml21c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml22a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml22b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml22c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml23a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml23b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml23c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml24c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ml25a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ ssmod <dbl> 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ sdist <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ sphase <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ sweight <dbl> 1324708, 1324708, 768423, 768423, 768423, 1186…
## $ sdweight <dbl> 0, 0, 0, 0, 0, 2282206, 1000967, 0, 0, 0, 0, 0…
## $ s113 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s116 <dbl> 2, 1, NA, 4, 4, 4, 4, 4, 3, 3, 3, 3, 3, 3, 3, …
## $ s234 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s235 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s236 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s238 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s239 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s240 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s241 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s242 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s243 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s244 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s244a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s244b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s245a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s245b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s245c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s245d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s245e <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s245f <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s245g <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s245h <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s245x <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s253 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s254 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s255 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s256a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s256b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s256c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s256d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s256e <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s256f <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s256g <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s256x <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s259 <dbl> NA, 12, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s260a <dbl> NA, 1, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s260b <dbl> NA, 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s260c <dbl> NA, 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s260d <dbl> NA, 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s260e <dbl> NA, 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s260f <dbl> NA, 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s260x <dbl> NA, 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s264 <dbl> 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s265 <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s301 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ s303 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s308m <dbl> 3, 5, 4, 1, 4, 4, 6, 6, 8, 1, 4, 10, 7, 3, 5, …
## $ s308y <dbl> 2015, 2017, 2011, 2007, 2016, 2017, 2011, 2017…
## $ s308c <dbl> 1383, 1409, 1336, 1285, 1396, 1408, 1338, 1410…
## $ mother_age_marriage <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s310 <dbl> 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0…
## $ s311 <dbl> NA, 3, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s314c <dbl> 28, 19, 19, 24, 22, 31, 24, 23, 19, 20, 35, 33…
## $ s315 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s321a <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s321b <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s321c <dbl> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0…
## $ s321d <dbl> 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0…
## $ s321e <dbl> 1, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0…
## $ s321f <dbl> 1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1…
## $ s321g <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s321h <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s321i <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s321j <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s321k <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s321l <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s321m <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s321n <dbl> 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1…
## $ s321x <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s321y <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s323 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324e <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324f <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324g <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324h <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324i <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324j <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324k <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324l <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324m <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324n <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324o <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324p <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324q <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324r <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324s <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324t <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324u <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324v <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324w <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324x <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324aa <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324ab <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324ac <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324ad <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324ae <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324af <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324ag <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324ba <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324bb <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324bc <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324bd <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324be <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324bf <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s324bg <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s329 <dbl> 1, 1, NA, 1, 1, NA, 1, 1, 0, NA, NA, 1, 1, NA,…
## $ s334 <dbl> NA, NA, 1, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s335 <dbl> NA, NA, 20000, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s336 <dbl> NA, NA, 0, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s337 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s338 <dbl> NA, NA, 0, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s340 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s341 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s342 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s354a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s354b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s356 <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 1, 0, 1, NA, NA…
## $ s358w <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ s358x <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ s358aa <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ s358ab <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ s358ac <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ s358ad <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ s358ae <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ s358af <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ s358ag <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ s358ba <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ s358bb <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ s358bc <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ s358bd <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ s358be <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ s358bf <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ s358bg <dbl> NA, NA, NA, NA, NA, 0, NA, NA, 0, 0, 0, NA, NA…
## $ s359 <dbl> 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1…
## $ s360a <dbl> 1, 2, 3, 3, 1, 1, NA, NA, 3, 2, 0, NA, 0, NA, …
## $ s360b <dbl> 2, 3, 4, 4, 2, 1, NA, NA, 2, 2, 0, NA, 0, NA, …
## $ s360c <dbl> 1, 1, 5, 5, 2, 1, NA, NA, 2, 3, 5, NA, 2, NA, …
## $ s360d <dbl> 1, 2, 3, 3, 0, 2, NA, NA, 0, 0, 0, NA, 0, NA, …
## $ s361 <dbl> 1, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1…
## $ s362a <dbl> 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0…
## $ s362b <dbl> 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1…
## $ s362c <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s362x <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s363a <dbl> 1, 2, 3, NA, 1, 1, NA, NA, NA, 2, 0, NA, NA, N…
## $ s363b <dbl> 1, 2, 6, NA, 0, 1, NA, NA, NA, 2, 0, NA, NA, N…
## $ s363c <dbl> 2, 0, 3, NA, 2, 1, NA, NA, NA, 2, 5, NA, NA, N…
## $ s363d <dbl> 1, 2, 4, NA, 0, 1, NA, NA, NA, 0, 0, NA, NA, N…
## $ s365a <dbl> 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1…
## $ s365b <dbl> 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1…
## $ s365c <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s365d <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s365e <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s365f <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s365g <dbl> 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0…
## $ s365h <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s365i <dbl> 0, 1, 0, 1, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1…
## $ s365j <dbl> 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1…
## $ s365k <dbl> 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1…
## $ s365l <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s365m <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s365n <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s365o <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s365p <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s365q <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s365r <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s365s <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s365x <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s366 <dbl> 3, 1, 2, 2, 1, 4, NA, NA, 2, 2, 1, NA, 1, NA, …
## $ s368 <dbl> NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, 1, N…
## $ s369 <dbl> 11, 22, 21, 21, 23, 11, NA, NA, 22, 22, 21, 21…
## $ s369a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s369b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s370a <dbl> NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, 0, N…
## $ s370b <dbl> NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, 0, N…
## $ anc_visits <dbl> NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, 0, N…
## $ s370d <dbl> NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, 0, N…
## $ pnc_visits <dbl> NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, 0, N…
## $ s370f <dbl> NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, 0, N…
## $ s370g <dbl> NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, 0, N…
## $ child_medical_treatment <dbl> NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, 1, N…
## $ s370i <dbl> NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, 0, N…
## $ s370j <dbl> NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, 0, N…
## $ s370k <dbl> NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, 0, N…
## $ s370l <dbl> NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, 0, N…
## $ s370x <dbl> NA, NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, 0, N…
## $ s617d <dbl> 1, 1, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 1…
## $ s617e <dbl> 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0…
## $ s704 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0…
## $ s707 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s708 <dbl> 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3…
## $ s709 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s710 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s711 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s712e <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s712f <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s713 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s714 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s716 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s717 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s718 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s719 <dbl> 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1…
## $ s720 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s721 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s722a <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s722b <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s722c <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s722d <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s722e <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s722x <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s723 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s728a <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0…
## $ s728ab <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1,…
## $ s728b <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1…
## $ s728bb <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s728c <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s728cb <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s728d <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0…
## $ s728db <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1, 1, …
## $ s728e <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s728eb <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s728f <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s728fb <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s728g <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s728gb <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ milk_or_curd <dbl> 2, 2, 2, 2, 1, 3, 1, 1, 3, 2, 1, 3, 1, 1, 3, 2…
## $ pulse_or_beans <dbl> 2, 3, 2, 3, 2, 3, 2, 2, 3, 3, 2, 3, 2, 2, 3, 3…
## $ green_leafy_veg <dbl> 2, 2, 3, 3, 2, 3, 1, 1, 2, 3, 1, 1, 1, 1, 3, 2…
## $ fruit <dbl> 3, 3, 3, 3, 3, 3, 2, 1, 3, 3, 1, 3, 3, 2, 3, 2…
## $ eggs <dbl> 3, 2, 3, 3, 3, 3, 1, 2, 2, 3, 2, 3, 3, 3, 3, 2…
## $ fishes <dbl> 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3…
## $ chicken_or_meat <dbl> 3, 3, 3, 3, 3, 3, 3, 2, 3, 3, 2, 2, 3, 2, 3, 3…
## $ fried_food <dbl> 3, 3, 3, 3, 3, 1, 2, 3, 3, 3, 0, 0, 3, 3, 3, 3…
## $ aerated_drink <dbl> 3, 3, 3, 0, 0, 1, 3, 3, 3, 3, 0, 0, 3, 3, 3, 3…
## $ s821i <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s821j <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s821k <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s821l <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s821aa <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s821ab <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s821ac <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s821ad <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s821ae <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s821af <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s821ag <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s821ba <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s821bb <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s821bc <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s821bd <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s821be <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s821bf <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s821bg <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s824 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s824a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s824b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s909 <dbl> NA, NA, NA, NA, NA, 1, 1, NA, NA, NA, NA, NA, …
## $ s910 <dbl> NA, NA, NA, NA, NA, 1, 0, NA, NA, NA, NA, NA, …
## $ s920 <dbl> NA, NA, NA, NA, NA, NA, 0, NA, NA, NA, NA, NA,…
## $ s929 <dbl> NA, NA, NA, NA, NA, 0, 1, NA, NA, NA, NA, NA, …
## $ s930a <dbl> NA, NA, NA, NA, NA, 2, 1, NA, NA, NA, NA, NA, …
## $ s930b <dbl> NA, NA, NA, NA, NA, 2, 1, NA, NA, NA, NA, NA, …
## $ s930c <dbl> NA, NA, NA, NA, NA, 2, 1, NA, NA, NA, NA, NA, …
## $ s931 <dbl> NA, NA, NA, NA, NA, 1, 1, NA, NA, NA, NA, NA, …
## $ s932 <dbl> NA, NA, NA, NA, NA, 1, 1, NA, NA, NA, NA, NA, …
## $ s933 <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s934 <dbl> NA, NA, NA, NA, NA, 0, 1, NA, NA, NA, NA, NA, …
## $ s937 <dbl> NA, NA, NA, NA, NA, 1, 1, NA, NA, NA, NA, NA, …
## $ s940 <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s941 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s943f <dbl> NA, NA, NA, NA, NA, 0, 1, NA, NA, NA, NA, NA, …
## $ s943g <dbl> NA, NA, NA, NA, NA, 0, 1, NA, NA, NA, NA, NA, …
## $ s944 <dbl> NA, NA, NA, NA, NA, 0, 1, NA, NA, NA, NA, NA, …
## $ s945 <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s947 <dbl> NA, NA, NA, NA, NA, 0, 1, NA, NA, NA, NA, NA, …
## $ s1004a <dbl> NA, NA, NA, NA, NA, 1, 1, NA, NA, NA, NA, NA, …
## $ s1004b <dbl> NA, NA, NA, NA, NA, 1, 1, NA, NA, NA, NA, NA, …
## $ s1004c <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1004d <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1004e <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1004f <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1004g <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1004h <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1004i <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1004j <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1004k <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1004l <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1004m <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1004n <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1004o <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1004p <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1004x <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1008 <dbl> NA, NA, NA, NA, NA, 0, 1, NA, NA, NA, NA, NA, …
## $ s1009 <dbl> NA, NA, NA, NA, NA, 0, 1, NA, NA, NA, NA, NA, …
## $ s1011 <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1012a <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1012b <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1012c <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1012d <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1012e <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1012f <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1012g <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1012h <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1012i <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1012j <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1012k <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1012l <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1012m <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1012n <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1012o <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1012p <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1012wx <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1012z <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1040 <dbl> NA, NA, NA, NA, NA, 1, 0, NA, NA, NA, NA, NA, …
## $ s1042 <dbl> NA, NA, NA, NA, NA, 0, 1, NA, NA, NA, NA, NA, …
## $ s1046 <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1047 <dbl> NA, NA, NA, NA, NA, 0, 1, NA, NA, NA, NA, NA, …
## $ s1056aa <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1056ab <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1056ac <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1056ad <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1056ae <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1056af <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1056ag <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1056ba <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1056bb <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1056bc <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1056bd <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1056be <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1056bf <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1056bg <dbl> NA, NA, NA, NA, NA, 0, 0, NA, NA, NA, NA, NA, …
## $ s1136a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136c <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136e <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136f <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136g <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136h <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136i <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136j <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136k <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136l <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136m <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136n <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136o <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136p <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136q <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136r <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136s <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136t <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136u <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136v <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136x <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136aa <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136ab <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136ac <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136ad <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136ae <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136af <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136ag <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136ba <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136bb <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136bc <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136bd <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136be <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136bf <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s1136bg <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ sb14a <dbl> 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1…
## $ sb14b <dbl> 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ sb14c <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ sb14d <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ sb15 <dbl> 25, 28, 26, 25, 24, 23, 28, 24, 24, 29, 27, 28…
## $ sb16 <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1…
## $ sb17 <dbl> 1135, 1235, 1200, 1400, 1625, 1148, 1343, 1330…
## $ sb18s <dbl> 141, 125, 121, 131, 119, 117, 126, 126, 140, 1…
## $ sb18d <dbl> 83, 80, 79, 86, 80, 80, 76, 82, 80, 64, 80, 97…
## $ sb19 <dbl> 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0…
## $ sb20 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ sb21 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ sb24 <dbl> 1140, 1240, 1205, 1405, 1630, 1153, 1448, 1335…
## $ sb25s <dbl> 130, 120, 126, 132, 121, 121, 117, 124, 144, 1…
## $ sb25d <dbl> 79, 80, 81, 87, 81, 79, 81, 83, 84, 92, 82, 93…
## $ sb28 <dbl> NA, 1245, NA, NA, NA, 1158, 1453, NA, 1150, 13…
## $ sb29s <dbl> NA, 140, NA, NA, NA, 121, 116, NA, 140, 147, 1…
## $ sb29d <dbl> NA, 85, NA, NA, NA, 79, 73, NA, 80, 69, 84, 92…
## $ sb53 <dbl> 0, 0, 0, 3, 1, 1, 2, 0, 0, 1, 0, 0, 0, 0, 0, 1…
## $ sb54 <dbl> 1, 0, 1, 0, 2, 0, 3, 4, 0, 1, 0, 0, 0, 0, 0, 0…
## $ sb55 <dbl> 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0…
## $ sb56 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ sb57 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ sb73 <dbl> 1145, 1250, 1210, 1410, 1635, 1201, 1455, 1337…
## $ sb74 <dbl> 131, 128, 96, 144, 121, 119, 117, 111, 113, 12…
## $ sb79 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ sb80 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ sb81 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ s305 <dbl> 82.4, 69.3, 81.0, 81.4, 78.4, 66.3, 86.2, 67.2…
## $ s306 <dbl> 93.5, 78.9, 91.4, 91.6, 86.3, 73.1, 103.4, 76.…
## $ s190s <dbl> 1, 1, 2, 3, 3, 3, 2, 1, 1, 1, 3, 3, 2, 2, 2, 1…
## $ s191s <dbl> -503721, -1466030, -288061, 322920, 567170, 45…
## $ s190us <dbl> 1, 1, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ s191us <dbl> -1704090, -2947041, NA, NA, NA, NA, NA, NA, NA…
## $ s190rs <dbl> NA, NA, 2, 3, 4, 3, 3, 1, 1, 1, 3, 4, 2, 2, 2,…
## $ s191rs <dbl> NA, NA, -15370, 655910, 924260, 805790, 409730…
## $ sh29ca <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ screfuse <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ idx92 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ s220a <dbl> 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9…
## $ s220b <dbl> 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ idx94 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ s408 <dbl> 2, 2, 1, 2, 2, 1, 1, 1, 1, 1, 1, 2, 2, 2, 3, 3…
## $ s409 <dbl> 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1…
## $ s410 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0…
## $ s411 <dbl> 3, 4, 2, 2, 3, 1, 1, 1, 3, 3, 2, 2, 2, 2, 3, N…
## $ s412 <dbl> 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, N…
## $ s413 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, N…
## $ s414 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ s419e <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ s420a <dbl> 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ s420b <dbl> 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ s420c <dbl> 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ s420d <dbl> 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1…
## $ s420e <dbl> 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ s422 <dbl> 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ s432 <dbl> 2, 3, 3, 3, 3, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3…
## $ s434 <dbl> 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0…
## $ s435 <dbl> 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0…
## $ s436 <dbl> 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1…
## $ s437 <dbl> 1, 0, 1, 1, 1, NA, 0, 0, 1, 1, NA, NA, 1, 1, N…
## $ s438 <dbl> 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1…
## $ s439 <dbl> 1, 3, 1, 3, 3, NA, 1, 1, 3, 3, 2, 2, 2, NA, NA…
## $ s440a <dbl> 1, 1, 1, 1, 1, NA, 1, 0, 0, 0, 1, 1, 1, NA, NA…
## $ s440b <dbl> 1, 1, 1, 1, 1, NA, 1, 1, 1, 1, 1, 1, 1, NA, NA…
## $ s440c <dbl> 1, 1, 1, 1, 1, NA, 1, 1, 1, 1, 1, 1, 1, NA, NA…
## $ s440d <dbl> 1, 1, 1, 1, 1, NA, 1, 1, 1, 1, 1, 1, 1, NA, NA…
## $ s440e <dbl> 1, 1, 1, 1, 1, NA, 1, 0, 0, 0, 1, 1, 1, NA, NA…
## $ s441 <dbl> 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1…
## $ s442 <dbl> 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1…
## $ s443 <dbl> 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0…
## $ s449 <dbl> 1, 3, 1, 1, 1, 1, 1, NA, 3, 3, 1, 1, 3, 3, 3, …
## $ s450a <dbl> 1, 0, 0, 0, 0, 0, 0, NA, 0, 0, 0, 0, 0, 0, 0, …
## $ s450b <dbl> 0, 0, 0, 0, 0, 0, 0, NA, 0, 0, 0, 0, 0, 0, 0, …
## $ s450c <dbl> 0, 0, 0, 0, 0, 0, 0, NA, 0, 0, 0, 0, 0, 0, 0, …
## $ s450d <dbl> 0, 0, 0, 0, 0, 0, 0, NA, 0, 0, 0, 0, 0, 0, 0, …
## $ s450e <dbl> 1, 0, 0, 1, 1, 1, 1, NA, 0, 0, 1, 1, 0, 0, 0, …
## $ s450f <dbl> 0, 0, 0, 0, 0, 0, 0, NA, 0, 0, 0, 0, 0, 0, 0, …
## $ s450g <dbl> 0, 0, 0, 0, 0, 0, 0, NA, 0, 0, 0, 0, 0, 0, 0, …
## $ s450h <dbl> 0, 0, 0, 0, 0, 0, 0, NA, 0, 0, 0, 0, 0, 0, 0, …
## $ s450i <dbl> 1, 1, 1, 0, 1, 0, 0, NA, 1, 1, 0, 0, 1, 1, 1, …
## $ s450j <dbl> 1, 1, 0, 0, 0, 0, 0, NA, 0, 0, 0, 0, 0, 0, 0, …
## $ s450k <dbl> 0, 0, 0, 0, 0, 0, 0, NA, 0, 0, 0, 0, 0, 0, 0, …
## $ s450l <dbl> 0, 0, 0, 0, 0, 0, 0, NA, 0, 0, 0, 0, 0, 0, 0, …
## $ s450m <dbl> 0, 0, 0, 0, 0, 0, 0, NA, 0, 0, 0, 0, 0, 0, 0, …
## $ s450x <dbl> 0, 0, 0, 0, 0, 0, 0, NA, 0, 0, 0, 0, 0, 0, 0, …
## $ s451 <dbl> 200, 800, 1000, 0, 0, 0, 0, NA, 3000, 2000, 0,…
## $ s452a <dbl> 1500, 0, 0, 0, 0, 0, 0, NA, 10000, 10000, 0, 0…
## $ s452b <dbl> 2000, 0, 0, 0, 0, 0, 0, NA, 3000, 3000, 0, 0, …
## $ s452c <dbl> 1000, 3000, 2000, 1500, 1200, 0, 0, NA, 2000, …
## $ s452d <dbl> 10000, 4000, 3000, 3000, 4000, 2000, 0, NA, 30…
## $ s454 <dbl> NA, NA, NA, NA, NA, NA, 5000, NA, NA, NA, NA, …
## $ s456a <dbl> 1, 0, 1, 1, 1, 1, 1, NA, 1, 1, 1, NA, 1, 1, 1,…
## $ s456b <dbl> 1, 1, 0, 0, 1, 0, 0, NA, 0, 0, 0, NA, 0, 0, 0,…
## $ s456c <dbl> 0, 0, 0, 0, 0, 0, 0, NA, 0, 0, 0, NA, 0, 0, 0,…
## $ s456d <dbl> 0, 1, 0, 0, 0, 0, 0, NA, 0, 0, 0, NA, 0, 0, 0,…
## $ s456e <dbl> 0, 0, 0, 0, 0, 0, 0, NA, 0, 0, 0, NA, 0, 0, 0,…
## $ s456x <dbl> 0, 0, 0, 0, 0, 0, 0, NA, 0, 0, 0, NA, 0, 0, 0,…
## $ s457 <dbl> 1, 1, 1, 1, 1, 1, 0, NA, 0, 0, 1, 1, 1, 1, 0, …
## $ s458a <dbl> 1, 1, 1, 1, 1, 1, 0, NA, 0, 0, 1, 1, 1, 1, 0, …
## $ s458b <dbl> 1, 0, 0, 0, 0, 0, 0, NA, 0, 0, 0, 0, 0, 0, 0, …
## $ s458x <dbl> 0, 0, 0, 0, 0, 0, 0, NA, 0, 0, 0, 0, 0, 0, 0, …
## $ s459 <dbl> NA, 76, 95, 7, 80, 35, NA, NA, NA, NA, 90, 40,…
## $ s460 <dbl> NA, 1200, 1400, 1400, 1400, 1400, NA, NA, NA, …
## $ s464 <dbl> 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0…
## $ s465 <dbl> 1, 1, 1, 1, 1, NA, NA, 1, 1, 1, 1, 1, 1, 1, 1,…
## $ s470 <dbl> 1, 1, 1, 1, 1, 1, 1, NA, 1, 1, 1, 1, 1, 1, 1, …
## $ s471 <dbl> 202, 101, 102, 103, 103, 201, 102, NA, 101, 10…
## $ s472 <dbl> 11, 11, 11, 11, 11, 11, 11, NA, 11, 11, 11, 11…
## $ s473 <dbl> 1, 0, 1, 1, 1, 0, 1, NA, 1, 1, 0, 0, 1, 1, 0, …
## $ s474 <dbl> 202, NA, 102, 201, 104, NA, 105, NA, 201, 102,…
## $ s475 <dbl> 11, NA, 11, 11, 11, NA, 11, NA, 11, 11, NA, NA…
## $ s476 <dbl> 21, NA, 24, 24, 24, NA, 21, NA, 21, 21, NA, NA…
## $ s477 <dbl> 1, 0, 1, 0, 1, 0, 0, NA, 1, 1, 0, 0, 0, 0, 0, …
## $ s478 <dbl> 303, NA, 202, NA, 105, NA, NA, NA, 202, 102, N…
## $ s479 <dbl> 21, NA, 11, NA, 11, NA, NA, NA, 11, 11, NA, NA…
## $ s480 <dbl> 21, NA, 24, NA, 24, NA, NA, NA, 21, 25, NA, NA…
## $ s481 <dbl> 1, 1, 1, 0, 1, 0, 1, NA, 1, 1, 0, 0, 0, 0, 0, …
## $ s483a <dbl> NA, NA, NA, NA, NA, NA, NA, 1, NA, NA, NA, NA,…
## $ s483b <dbl> NA, NA, NA, NA, NA, NA, NA, 1, NA, NA, NA, NA,…
## $ s483c <dbl> NA, NA, NA, NA, NA, NA, NA, 1, NA, NA, NA, NA,…
## $ s486 <dbl> 1, 3, 7, NA, 5, NA, 4, 6, 2, 3, NA, NA, NA, NA…
## $ s493a <dbl> 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 0…
## $ s493b <dbl> 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 0…
## $ s494a <dbl> 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1…
## $ s494b <dbl> 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1…
## $ s494c <dbl> 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1…
## $ s494d <dbl> 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1…
## $ s494e <dbl> 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1…
## $ idx95 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ flpv1 <dbl> 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1…
## $ flpv1d <dbl> 27, 10, 17, 12, 14, NA, NA, NA, 20, 17, 28, 10…
## $ flpv1m <dbl> 4, 8, 10, 12, 4, NA, NA, NA, 6, 4, 4, 10, 9, 4…
## $ flpv1y <dbl> 2018, 2018, 2018, 2018, 2019, NA, NA, NA, 2018…
## $ flpv2 <dbl> 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1…
## $ flpv2d <dbl> 29, 22, 1, 17, 22, NA, NA, NA, 21, 22, NA, 16,…
## $ flpv2m <dbl> 6, 10, 11, 1, 6, NA, NA, NA, 8, 6, NA, 5, 10, …
## $ flpv2y <dbl> 2018, 2018, 2018, 2019, 2019, NA, NA, NA, 2018…
## $ je1 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ je1d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ je1m <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ je1y <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ je2 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ je2d <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ je2m <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ je2y <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ mcv1d <dbl> 12, 12, 14, 22, 24, 11, 4, 24, 25, 0, 0, 3, 14…
## $ mcv1m <dbl> 1, 5, 6, 7, 10, 5, 6, 1, 2, 0, 0, 7, 5, 0, NA,…
## $ mcv1y <dbl> 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019…
## $ mcv2d <dbl> 25, 0, 0, 0, 0, 0, 0, 11, 0, 0, 0, 0, 0, 0, NA…
## $ mcv2m <dbl> 7, 0, 0, 0, 0, 0, 0, 9, 0, 0, 0, 0, 0, 0, NA, …
## $ mcv2y <dbl> 2019, 0, 0, 0, 0, 0, 0, 2019, 0, 0, 0, 0, 0, 0…
## $ dptb <dbl> 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0…
## $ dptbd <dbl> NA, NA, 14, 12, 24, 4, 15, 6, NA, NA, NA, NA, …
## $ dptbm <dbl> NA, NA, 6, 12, 10, 8, 9, 4, NA, NA, NA, NA, NA…
## $ dptby <dbl> NA, NA, 2019, 2018, 2019, 2019, 2019, 2019, NA…
## $ s513s <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s513t <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s515 <dbl> 23, 23, 23, 23, 23, 11, 11, 11, 23, 23, 23, 23…
## $ s515a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s515b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ idx96 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ s521k <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ s521aa <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ s521ab <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ s521ac <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ s521ad <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ s521ae <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ s521af <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ s521ag <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ s521ba <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ s521bb <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ s521bc <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ s521bd <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ s521be <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ s521bf <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ s521bg <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 0, 0, 0, NA, N…
## $ s523a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s523b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ micronutrient_powder <dbl> 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0…
## $ s526b <dbl> 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0…
## $ s526c <dbl> 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0…
## $ s539j <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s539k <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s539aa <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s539ab <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s539ac <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s539ad <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s539ae <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s539af <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s539ag <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s539ba <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s539bb <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s539bc <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s539bd <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s539be <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s539bf <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s539bg <dbl> 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ s541a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ s541b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ idx98 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ icds_benefits <dbl> 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1…
## $ icds_food <dbl> 1, 4, NA, 1, 2, NA, 2, 2, 3, 3, NA, NA, 1, 2, …
## $ s560 <dbl> 1, 2, NA, 1, 2, NA, 1, 1, 2, 2, NA, NA, 0, 2, …
## $ s561 <dbl> 1, 0, NA, 1, 0, NA, 0, 0, 1, 1, NA, NA, 0, 0, …
## $ anganwadi_visits <dbl> 1, 2, NA, 1, 0, NA, 1, 1, 2, 2, NA, NA, 0, 2, …
## $ s563 <dbl> 1, 2, NA, 1, 2, NA, 2, 2, 3, 2, NA, NA, 3, 1, …
## $ s564 <dbl> 1, 0, NA, 1, 1, NA, 0, 0, 1, 1, NA, NA, 1, 1, …
## $ s565 <dbl> 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1…
## $ s566a <dbl> 1, 1, NA, 1, 1, NA, NA, NA, 1, 1, NA, NA, 1, 1…
## $ s566b <dbl> 1, 1, NA, 0, 1, NA, NA, NA, 1, 1, NA, NA, 0, 0…
## $ s566c <dbl> 1, 1, NA, 0, 1, NA, NA, NA, 1, 1, NA, NA, 0, 0…
## $ s567 <dbl> 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1…
## $ received_supplements <dbl> 1, 1, NA, 1, 1, NA, NA, NA, 1, 1, NA, NA, 1, N…
## $ s568b <dbl> 1, 1, NA, 0, 1, NA, NA, NA, 1, 1, NA, NA, 0, N…
## $ received_health_ed <dbl> 1, 1, NA, 0, 1, NA, NA, NA, 1, 1, NA, NA, 0, N…
## $ weight <dbl> 0.379628, 0.379628, 0.220211, 0.220211, 0.2202…
## $ breastfed <dbl> 0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1…
## $ age_group <dbl> 2, 2, 2, 1, 1, 2, 2, 3, 2, 1, 1, 1, 2, 1, 2, 2…
## $ juice_recode <dbl> 1, 0, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0…
## $ milk_recode <dbl> 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1…
## $ soup_recode <dbl> 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ liquid_recode <dbl> 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0…
## $ meat_recode <dbl> 1, 0, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0…
## $ grains_recode <dbl> 0, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1…
## $ tubers_recode <dbl> 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ egg_recode <dbl> 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1…
## $ yellow_veg_recode <dbl> 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ green_veg_recode <dbl> 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0…
## $ fruits_recode <dbl> 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1…
## $ organs_recode <dbl> 1, 0, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0…
## $ fish_recode <dbl> 1, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ legumes_recode <dbl> 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ milk_products_recode <dbl> 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0…
## $ mdd_grains_roots <dbl> 0, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1…
## $ mdd_legumes_nuts <dbl> 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ mdd_dairy <dbl> 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1…
## $ mdd_flesh <dbl> 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0…
## $ mdd_egg <dbl> 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1…
## $ mdd_vita <dbl> 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0…
## $ mdd_otherfv <dbl> 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1…
## $ baby_formula_recoded <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ breastfed_child <dbl> 0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1…
## $ nonbreastfed_child <dbl> 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0…
## $ mdd_score_bf <dbl> NA, 5, 7, 7, 7, NA, NA, NA, 6, 1, 1, 3, 4, 2, …
## $ mdd_bf <dbl> NA, 1, 1, 1, 1, NA, NA, NA, 1, 0, 0, 0, 0, 0, …
## $ mdd_dairy_formula <dbl> 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1…
## $ mdd_score_nbf <dbl> 6, NA, NA, NA, NA, 5, 2, 0, NA, NA, NA, NA, NA…
## $ mdd_nbf <dbl> 1, NA, NA, NA, NA, 1, 0, 0, NA, NA, NA, NA, NA…
## $ mdd <dbl> 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1…
## $ age_recode <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 2, 2, 1, 2, 2…
## $ milk_or_curd_bin <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ pulse_or_beans_bin <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ green_leafy_veg_bin <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ fruit_bin <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ eggs_bin <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ fishes_bin <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ chicken_or_meat_bin <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ fried_food_bin <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1…
## $ aerated_drink_bin <dbl> 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1…
## $ meal_count_proxy <dbl> 0, 0, 0, 7, 7, 0, 0, 0, 0, 0, 6, 6, 0, 0, 0, 0…
## $ total_solid_feeds <dbl> NA, NA, NA, 7, 7, NA, NA, NA, NA, NA, 6, 6, NA…
## $ total_all_feeds <dbl> 24, 24, 25, 23, 20, 23, 18, 18, 25, 26, 12, 18…
## $ meal_binary <dbl> 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1…
## $ solid_recode <dbl> 0, 0, 0, 7, 7, 0, 0, 0, 0, 0, 6, 6, 0, 0, 0, 0…
## $ mmf <dbl> 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0…
## $ mad_nbf <dbl> 1, NA, NA, NA, NA, 1, 0, 0, NA, NA, NA, NA, NA…
## $ meal_count_bin <dbl> 4, 2, 3, 5, 2, 2, 2, 0, 2, 0, 1, 2, 2, 1, 0, 2…
## $ caseid_1 <dbl> 86, 85, 21, 23, 22, 49, 47, 48, 46, 45, 4, 5, …
## $ mad_bf <dbl> NA, 1, 1, 1, 1, NA, NA, NA, 1, 0, 0, 0, 0, 0, …
## $ mad <dbl> 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0…
## $ mmf_bf <dbl> NA, 0, 1, 1, 1, NA, NA, NA, 0, 0, 1, 1, 0, 0, …
## $ mmf_nonbf <dbl> 0, NA, NA, NA, NA, 0, 0, 0, NA, NA, NA, NA, NA…
## $ meal_count_clean <dbl> 4, 2, 3, 5, 2, 2, 2, 0, 2, 0, 1, 2, 2, 1, 0, 2…
## $ mmf_1 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ milk_feed <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ solid_feed <dbl> 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1…
## $ total_feeds <dbl> 5, 3, 4, 6, 3, 3, 3, 1, 3, 1, 2, 3, 3, 2, 1, 3…
## $ wt <dbl> 0.379628, 0.379628, 0.220211, 0.220211, 0.2202…
## $ meal_count_recode <dbl> 4, 2, 3, 5, 2, 2, 2, 0, 2, 0, 1, 2, 2, 1, 0, 2…
## $ mmf_bf_1 <dbl> NA, 0, 1, 1, 0, NA, NA, NA, 0, 0, 0, 0, 0, 0, …
## $ mmf_bf_2 <dbl> NA, 0, 1, 1, 0, NA, NA, NA, 0, 0, 0, 0, 0, 0, …
## $ mmf_nbf_2 <dbl> 1, NA, NA, NA, NA, 0, 0, 0, NA, NA, NA, NA, NA…
## $ formula <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ food_groups_nbf <dbl> 8, 5, 9, 8, 9, 7, 1, 2, 7, 3, 3, 5, 6, 4, 3, 4…
## $ food_groups_bf <dbl> 8, 5, 9, 8, 9, 7, 1, 2, 7, 3, 3, 5, 6, 4, 3, 4…
## $ mdd_bf_1 <dbl> NA, 1, 1, 1, 1, NA, NA, NA, 1, 0, 0, 1, 1, 0, …
## $ mdd_nbf_1 <dbl> 1, NA, NA, NA, NA, 1, 0, 0, NA, NA, NA, NA, NA…
## $ mad_bf_1 <dbl> NA, 0, 1, 1, 0, NA, NA, NA, 0, 0, 0, 0, 0, 0, …
## $ milk_feeds_2 <dbl> 2, 1, 2, 1, 2, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 1…
## $ mad_nbf_1 <dbl> 1, NA, NA, NA, NA, 0, 0, 0, NA, NA, NA, NA, NA…
## $ dairy_total_nbf <dbl> 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1…
## $ mad_nbf_2 <dbl> 1, NA, NA, NA, NA, 0, 0, 0, NA, NA, NA, NA, NA…
## $ caste_clean <dbl> 2, 1, 3, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1…
## $ mother_lit_clean <dbl> 0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0…
## $ marital_status_clean <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ fatheredu_clean <dbl> 5, 5, 5, 5, 5, 2, 3, 5, 5, 5, 5, 5, 5, 5, 5, 5…
## $ birthsize_clean <dbl> 5, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 5, 3, 3, 3, 3…
## $ anemia_clean <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1…
## $ anganwadi_clean <dbl> 1, 2, 4, 1, 0, 4, 1, 1, 2, 2, 4, 4, 0, 2, 4, 2…
## $ residence_cat <dbl> 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2…
## $ caste_cat <dbl> 2, 1, 3, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1…
## $ sex_cat <dbl> 2, 2, 2, 1, 1, 1, 2, 1, 1, 2, 1, 2, 2, 2, 1, 1…
## $ motheredu_cat <dbl> 2, 2, 1, 2, 2, 0, 2, 0, 0, 0, 3, 1, 2, 2, 2, 0…
## $ motherlit_cat <dbl> 0, 2, 2, 2, 2, 0, 2, 0, 0, 0, 2, 1, 1, 2, 1, 0…
## $ fatheredu_cat <dbl> 5, 5, 5, 5, 5, 2, 3, 5, 5, 5, 5, 5, 5, 5, 5, 5…
## $ motherocc_cat <dbl> 4, 4, 4, 4, 4, 0, 0, 4, 4, 4, 4, 4, 4, 4, 4, 4…
## $ fatherocc_cat <dbl> 8, 8, 8, 8, 8, 2, 1, 8, 8, 8, 8, 8, 8, 8, 8, 8…
## $ motherage_grp <dbl> 4, 2, 3, 5, 3, 4, 4, 3, 4, 3, 5, 5, 4, 4, 3, 2…
## $ birthint_cat <dbl> 4, 4, 2, 2, 1, 4, 3, 4, 3, 1, 4, 4, 2, 4, 4, 4…
## $ birthord_cat <dbl> 1, 1, 2, 2, 2, 1, 2, 1, 2, 2, 1, 1, 2, 1, 1, 1…
## $ bw_cat <dbl> 1, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 3, 2, 2, 3, 1…
## $ bsize_cat <dbl> 5, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 5, 3, 3, 3, 3…
## $ delivery_cat <dbl> 2, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2…
## $ bf_cat <dbl> 94, 2, 2, 2, 2, 9, 94, 94, 2, 2, 2, 2, 2, 2, 9…
## $ livechild_cat <dbl> 1, 1, 2, 2, 2, 1, 2, 1, 2, 2, 1, 1, 2, 1, 1, 1…
## $ hhsize_cat <dbl> 2, 1, 2, 2, 2, 2, 2, 2, 2, 1, 2, 1, 2, 1, 2, 3…
## $ wealth_cat <dbl> 2, 1, 2, 3, 4, 3, 3, 2, 1, 2, 3, 4, 2, 2, 2, 2…
## $ hhheadsex_cat <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ ppower_cat <dbl> 6, 6, 6, 6, 6, 2, 2, 6, 6, 6, 6, 6, 6, 6, 6, 6…
## $ epower_cat <dbl> 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5…
## $ news_cat <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ radio_cat <dbl> 2, 1, 1, 0, 1, 1, 1, 1, 1, 1, 2, 2, 0, 1, 0, 2…
## $ tv_cat <dbl> 2, 1, 0, 0, 2, 1, 1, 1, 1, 0, 2, 2, 1, 2, 0, 2…
## $ anc_any <dbl> 2, 2, 2, 2, 2, 2, 0, 0, 2, 2, 2, 0, 2, 0, 0, 2…
## $ pnc_any <dbl> 2, 2, 2, 2, 2, 2, 0, 0, 2, 2, 2, 0, 2, 0, 0, 2…
## $ anm_seen <dbl> 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0…
## $ tba_seen <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ supp_any <dbl> 1, 1, 2, 1, 1, 2, 2, 2, 1, 1, 2, 2, 1, 2, 2, 1…
## $ healthedu_any <dbl> 1, 1, 2, 0, 1, 2, 2, 2, 1, 1, 2, 2, 0, 2, 2, 1…
## $ mnp_any <dbl> 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0…
## $ med_any <dbl> 2, 2, 2, 2, 2, 2, 0, 0, 2, 2, 2, 1, 2, 1, 0, 2…
## $ anc_rec <dbl> 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ pnc_rec <dbl> 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1…
## $ awc_visits <dbl> 1, 2, 4, 1, 0, 4, 1, 1, 2, 2, 4, 4, 0, 2, 4, 2…
## $ icds_benef <dbl> 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1…
## $ icds_food_cat <dbl> 1, 4, 6, 1, 2, 6, 2, 2, 3, 3, 6, 6, 1, 2, 6, 3…
## $ region_cat <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ region_cat_nomiss <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ motherlit_cat_nomiss <dbl> 0, 2, 2, 2, 2, 0, 2, 0, 0, 0, 2, 1, 1, 2, 1, 0…
## $ fatheredu_cat_nomiss <dbl> NA, NA, NA, NA, NA, 2, NA, NA, NA, NA, NA, NA,…
## $ caste_cat_nomiss <dbl> 2, 1, NA, 1, 1, 1, 1, 1, NA, 1, 1, 1, 1, 1, 1,…
## $ motheragemar_cat <dbl> 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6…
## $ fatheragemar_cat <dbl> 6, 6, 6, 6, 6, 4, 4, 6, 6, 6, 6, 6, 6, 6, 6, 6…
## $ income_cat <dbl> 6, 6, 6, 6, 6, 1, 1, 6, 6, 6, 6, 6, 6, 6, 6, 6…
## $ emo_viol <dbl> NA, NA, NA, NA, NA, 0, NA, NA, NA, NA, NA, NA,…
## $ phys_viol <dbl> NA, NA, NA, NA, NA, 0, NA, NA, NA, NA, NA, NA,…
## $ sex_viol <dbl> NA, NA, NA, NA, NA, 0, NA, NA, NA, NA, NA, NA,…
## $ any_dv <dbl> NA, NA, NA, NA, NA, 0, NA, NA, NA, NA, NA, NA,…
## $ hus_drinks <dbl> NA, NA, NA, NA, NA, 0, NA, NA, NA, NA, NA, NA,…
## $ afraid_hus <dbl> NA, NA, NA, NA, NA, 2, NA, NA, NA, NA, NA, NA,…
## $ told_anyone <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ `_merge` <dbl> 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3…summary(data)## caseid midx v000 v001
## Length:62135 Min. :1.000 Length:62135 Min. : 101
## Class :character 1st Qu.:1.000 Class :character 1st Qu.:18610
## Mode :character Median :1.000 Mode :character Median :35112
## Mean :1.003 Mean :40184
## 3rd Qu.:1.000 3rd Qu.:56828
## Max. :3.000 Max. :93242
##
## v002 v003 v004 v005
## Min. : 1.00 Min. : 1.000 Min. : 101 Min. : 3462
## 1st Qu.:25.00 1st Qu.: 2.000 1st Qu.:18610 1st Qu.: 430629
## Median :50.00 Median : 3.000 Median :35112 Median : 783234
## Mean :49.75 Mean : 3.339 Mean :40184 Mean : 998486
## 3rd Qu.:74.00 3rd Qu.: 4.000 3rd Qu.:56828 3rd Qu.: 1299172
## Max. :99.00 Max. :30.000 Max. :93242 Max. :37585909
##
## v006 v007 v008 v008a
## Min. : 1.000 Min. :2019 Min. :1434 Min. :43634
## 1st Qu.: 2.000 1st Qu.:2019 1st Qu.:1437 1st Qu.:43728
## Median : 7.000 Median :2020 Median :1441 Median :43851
## Mean : 5.995 Mean :2020 Mean :1443 Mean :43917
## 3rd Qu.: 9.000 3rd Qu.:2020 3rd Qu.:1452 3rd Qu.:44196
## Max. :12.000 Max. :2021 Max. :1457 Max. :44336
##
## v009 v010 v011 mother_age v013
## Min. : 1.000 Min. :1970 Min. : 841 Min. :15.00 Min. :1.000
## 1st Qu.: 3.000 1st Qu.:1990 1st Qu.:1090 1st Qu.:23.00 1st Qu.:2.000
## Median : 5.000 Median :1994 Median :1132 Median :25.00 Median :3.000
## Mean : 5.581 Mean :1993 Mean :1123 Mean :26.21 Mean :2.867
## 3rd Qu.: 8.000 3rd Qu.:1997 3rd Qu.:1166 3rd Qu.:29.00 3rd Qu.:3.000
## Max. :12.000 Max. :2005 Max. :1272 Max. :49.00 Max. :7.000
##
## v014 v015 v016 v017 v018
## Min. :1.000 Min. :1 Min. : 1.00 Min. :1369 Min. : 4
## 1st Qu.:1.000 1st Qu.:1 1st Qu.: 8.00 1st Qu.:1369 1st Qu.: 8
## Median :1.000 Median :1 Median :16.00 Median :1381 Median :12
## Mean :1.136 Mean :1 Mean :15.62 Mean :1375 Mean :12
## 3rd Qu.:1.000 3rd Qu.:1 3rd Qu.:23.00 3rd Qu.:1381 3rd Qu.:14
## Max. :6.000 Max. :1 Max. :31.00 Max. :1381 Max. :21
##
## v019 v019a v020 v021 v022
## Min. :60 Min. :7 Min. :0 Min. : 101 Min. : 11
## 1st Qu.:67 1st Qu.:7 1st Qu.:0 1st Qu.:18610 1st Qu.: 8491
## Median :69 Median :7 Median :0 Median :35112 Median :23122
## Mean :69 Mean :7 Mean :0 Mean :40184 Mean :31768
## 3rd Qu.:73 3rd Qu.:7 3rd Qu.:0 3rd Qu.:56828 3rd Qu.:46422
## Max. :77 Max. :7 Max. :0 Max. :93242 Max. :93223
##
## v023 state residence v026
## Min. : 11 Min. : 1.00 Min. :1.000 Min. : NA
## 1st Qu.: 8491 1st Qu.: 9.00 1st Qu.:2.000 1st Qu.: NA
## Median :23122 Median :17.00 Median :2.000 Median : NA
## Mean :31768 Mean :16.71 Mean :1.797 Mean :NaN
## 3rd Qu.:46422 3rd Qu.:23.00 3rd Qu.:2.000 3rd Qu.: NA
## Max. :93223 Max. :37.00 Max. :2.000 Max. : NA
## NA's :62135
## v027 v028 v029 v030
## Min. :1.000 Min. :1110100 Min. : NA Min. :1110100
## 1st Qu.:1.000 1st Qu.:1321402 1st Qu.: NA 1st Qu.:1321400
## Median :1.000 Median :1531802 Median : NA Median :1531800
## Mean :1.472 Mean :1732856 Mean :NaN Mean :1732854
## 3rd Qu.:2.000 3rd Qu.:2210302 3rd Qu.: NA 3rd Qu.:2210300
## Max. :5.000 Max. :2712703 Max. : NA Max. :2712700
## NA's :62135
## v031 v032 v034 v040 v042
## Min. : NA Min. : NA Min. : 0.000 Min. : -1.0 Min. :1
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: 1.000 1st Qu.: 86.0 1st Qu.:1
## Median : NA Median : NA Median : 1.000 Median : 216.0 Median :1
## Mean :NaN Mean :NaN Mean : 1.943 Mean : 364.1 Mean :1
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: 3.000 3rd Qu.: 440.0 3rd Qu.:1
## Max. : NA Max. : NA Max. :25.000 Max. :5743.0 Max. :1
## NA's :62135 NA's :62135 NA's :710
## v044 v045a v045b v045c
## Min. :0.000 Min. : 1.00 Min. : 1.000 Min. : 1.00
## 1st Qu.:1.000 1st Qu.: 4.00 1st Qu.: 4.000 1st Qu.: 4.00
## Median :3.000 Median : 4.00 Median : 4.000 Median : 4.00
## Mean :2.156 Mean : 6.83 Mean : 8.447 Mean :13.93
## 3rd Qu.:3.000 3rd Qu.:10.00 3rd Qu.:10.000 3rd Qu.:12.00
## Max. :3.000 Max. :21.00 Max. :96.000 Max. :96.00
##
## v046 v101 v102 v103
## Min. :0.0000 Min. : 1.00 Min. :1.000 Min. : NA
## 1st Qu.:0.0000 1st Qu.: 9.00 1st Qu.:2.000 1st Qu.: NA
## Median :0.0000 Median :17.00 Median :2.000 Median : NA
## Mean :0.0383 Mean :16.71 Mean :1.797 Mean :NaN
## 3rd Qu.:0.0000 3rd Qu.:23.00 3rd Qu.:2.000 3rd Qu.: NA
## Max. :1.0000 Max. :37.00 Max. :2.000 Max. : NA
## NA's :62135
## v104 v105 v105a mother_edu
## Min. : 0.00 Min. : NA Min. : NA Min. :0.000
## 1st Qu.: 3.00 1st Qu.: NA 1st Qu.: NA 1st Qu.:1.000
## Median : 5.00 Median : NA Median : NA Median :2.000
## Mean :13.83 Mean :NaN Mean :NaN Mean :1.654
## 3rd Qu.:10.00 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:2.000
## Max. :96.00 Max. : NA Max. : NA Max. :3.000
## NA's :62135 NA's :62135
## v107 v113 v115 v116 v119
## Min. :0.000 Min. :11.00 Min. : 0 Min. :11.00 Min. :0.000
## 1st Qu.:3.000 1st Qu.:12.00 1st Qu.: 30 1st Qu.:12.00 1st Qu.:1.000
## Median :4.000 Median :21.00 Median :996 Median :13.00 Median :1.000
## Mean :4.246 Mean :25.82 Mean :724 Mean :23.15 Mean :1.254
## 3rd Qu.:5.000 3rd Qu.:21.00 3rd Qu.:996 3rd Qu.:31.00 3rd Qu.:1.000
## Max. :8.000 Max. :97.00 Max. :998 Max. :97.00 Max. :7.000
## NA's :11939 NA's :1
## v120 v121 v122 v123
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :1.0000 Median :0.0000 Median :0.0000
## Mean :0.3887 Mean :0.9342 Mean :0.6527 Mean :0.7834
## 3rd Qu.:0.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :7.0000 Max. :7.0000 Max. :7.0000 Max. :7.0000
##
## v124 v125 v127 v128
## Min. :0.0000 Min. :0.0000 Min. :11.00 Min. :11.00
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:11.00 1st Qu.:25.00
## Median :1.0000 Median :0.0000 Median :33.00 Median :31.00
## Mean :0.8331 Mean :0.4148 Mean :28.18 Mean :31.07
## 3rd Qu.:1.0000 3rd Qu.:0.0000 3rd Qu.:34.00 3rd Qu.:33.00
## Max. :7.0000 Max. :7.0000 Max. :97.00 Max. :97.00
##
## v129 v130 caste v133
## Min. :11.00 Min. : 1.000 Min. :991.0 Min. : 0.000
## 1st Qu.:31.00 1st Qu.: 1.000 1st Qu.:991.0 1st Qu.: 5.000
## Median :35.00 Median : 1.000 Median :991.0 Median : 9.000
## Mean :35.96 Mean : 2.524 Mean :991.3 Mean : 7.971
## 3rd Qu.:35.00 3rd Qu.: 2.000 3rd Qu.:991.0 3rd Qu.:12.000
## Max. :97.00 Max. :96.000 Max. :998.0 Max. :20.000
##
## v134 v135 hh_members v137
## Min. : NA Min. :1.000 Min. : 2.000 Min. : 0.000
## 1st Qu.: NA 1st Qu.:1.000 1st Qu.: 4.000 1st Qu.: 1.000
## Median : NA Median :1.000 Median : 6.000 Median : 2.000
## Mean :NaN Mean :1.048 Mean : 6.243 Mean : 1.648
## 3rd Qu.: NA 3rd Qu.:1.000 3rd Qu.: 7.000 3rd Qu.: 2.000
## Max. : NA Max. :2.000 Max. :31.000 Max. :11.000
## NA's :62135
## v138 v139 v140 v141
## Min. : 1.000 Min. : 1.00 Min. :1.000 Min. : NA
## 1st Qu.: 1.000 1st Qu.: 9.00 1st Qu.:2.000 1st Qu.: NA
## Median : 1.000 Median :18.00 Median :2.000 Median : NA
## Mean : 1.553 Mean :20.65 Mean :2.047 Mean :NaN
## 3rd Qu.: 2.000 3rd Qu.:24.00 3rd Qu.:2.000 3rd Qu.: NA
## Max. :11.000 Max. :97.00 Max. :7.000 Max. : NA
## NA's :62135
## v149 v150 hh_head_sex v152
## Min. :0.000 Min. : 1.000 Min. :1.000 Min. :15.00
## 1st Qu.:1.000 1st Qu.: 2.000 1st Qu.:1.000 1st Qu.:32.00
## Median :3.000 Median : 3.000 Median :1.000 Median :46.00
## Mean :2.521 Mean : 3.233 Mean :1.152 Mean :46.12
## 3rd Qu.:3.000 3rd Qu.: 4.000 3rd Qu.:1.000 3rd Qu.:60.00
## Max. :5.000 Max. :16.000 Max. :2.000 Max. :98.00
##
## v153 awfactt awfactu awfactr awfacte
## Min. :0.0000 Min. :100 Min. :100 Min. :100 Min. :100
## 1st Qu.:0.0000 1st Qu.:100 1st Qu.:100 1st Qu.:100 1st Qu.:100
## Median :0.0000 Median :100 Median :100 Median :100 Median :100
## Mean :0.3519 Mean :100 Mean :100 Mean :100 Mean :100
## 3rd Qu.:0.0000 3rd Qu.:100 3rd Qu.:100 3rd Qu.:100 3rd Qu.:100
## Max. :7.0000 Max. :100 Max. :100 Max. :100 Max. :100
##
## awfactw mother_literacy v156 reads_newspaper
## Min. :100 Min. :0.000 Min. : NA Min. :0.0000
## 1st Qu.:100 1st Qu.:0.000 1st Qu.: NA 1st Qu.:0.0000
## Median :100 Median :2.000 Median : NA Median :0.0000
## Mean :100 Mean :1.369 Mean :NaN Mean :0.3761
## 3rd Qu.:100 3rd Qu.:2.000 3rd Qu.: NA 3rd Qu.:1.0000
## Max. :100 Max. :4.000 Max. : NA Max. :2.0000
## NA's :62135
## listens_radio watches_tv v160 v161
## Min. :0.0000 Min. :0.000 Min. :0.0000 Min. : 1.000
## 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.0000 1st Qu.: 2.000
## Median :0.0000 Median :1.000 Median :0.0000 Median : 8.000
## Mean :0.1623 Mean :1.134 Mean :0.5383 Mean : 9.946
## 3rd Qu.:0.0000 3rd Qu.:2.000 3rd Qu.:0.0000 3rd Qu.: 8.000
## Max. :2.0000 Max. :2.000 Max. :7.0000 Max. :97.000
## NA's :12677
## v166 v167 v168 v169a
## Min. : NA Min. : NA Min. :0.000 Min. :0.000
## 1st Qu.: NA 1st Qu.: NA 1st Qu.:0.000 1st Qu.:0.000
## Median : NA Median : NA Median :0.000 Median :1.000
## Mean :NaN Mean :NaN Mean :0.096 Mean :0.583
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:0.000 3rd Qu.:1.000
## Max. : NA Max. : NA Max. :1.000 Max. :1.000
## NA's :62135 NA's :62135 NA's :52708 NA's :52708
## v169b v170 v171a v171b
## Min. :0.000 Min. :0.000 Min. :0.000 Min. : NA
## 1st Qu.:0.000 1st Qu.:1.000 1st Qu.:0.000 1st Qu.: NA
## Median :0.000 Median :1.000 Median :0.000 Median : NA
## Mean :0.204 Mean :0.795 Mean :1.015 Mean :NaN
## 3rd Qu.:0.000 3rd Qu.:1.000 3rd Qu.:3.000 3rd Qu.: NA
## Max. :1.000 Max. :1.000 Max. :3.000 Max. : NA
## NA's :56636 NA's :52708 NA's :52708 NA's :62135
## wealth_index v191 v190a v191a
## Min. :1.000 Min. :-2501080 Min. :1.000 Min. :-4041591
## 1st Qu.:1.000 1st Qu.: -886375 1st Qu.:2.000 1st Qu.: -802916
## Median :3.000 Median : -103791 Median :3.000 Median : -47750
## Mean :2.695 Mean : -86197 Mean :2.843 Mean : -39604
## 3rd Qu.:4.000 3rd Qu.: 693319 3rd Qu.:4.000 3rd Qu.: 707240
## Max. :5.000 Max. : 2626500 Max. :5.000 Max. : 3186810
##
## ml101 living_children v202 v203
## Min. :0.0000 Min. : 1.000 Min. :0.0000 Min. :0.000
## 1st Qu.:0.0000 1st Qu.: 1.000 1st Qu.:0.0000 1st Qu.:0.000
## Median :0.0000 Median : 2.000 Median :1.0000 Median :1.000
## Mean :0.7683 Mean : 2.122 Mean :0.9396 Mean :1.053
## 3rd Qu.:1.0000 3rd Qu.: 3.000 3rd Qu.:1.0000 3rd Qu.:2.000
## Max. :3.0000 Max. :16.000 Max. :9.0000 Max. :8.000
##
## v204 v205 v206 v207
## Min. :0.00000 Min. :0.00000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.00000 Median :0.00000 Median :0.00000 Median :0.00000
## Mean :0.01825 Mean :0.02522 Mean :0.04722 Mean :0.03916
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :5.00000 Max. :5.00000 Max. :5.00000 Max. :4.00000
##
## v208 v209 v210 v211
## Min. :1.000 Min. :0.000 Min. :0.000e+00 Min. :1044
## 1st Qu.:1.000 1st Qu.:0.000 1st Qu.:0.000e+00 1st Qu.:1363
## Median :1.000 Median :0.000 Median :0.000e+00 Median :1401
## Mean :1.465 Mean :0.415 Mean :9.656e-05 Mean :1388
## 3rd Qu.:2.000 3rd Qu.:1.000 3rd Qu.:0.000e+00 3rd Qu.:1425
## Max. :6.000 Max. :3.000 Max. :1.000e+00 Max. :1450
##
## v212 v213 v214 v215
## Min. : 6.00 Min. :0.00000 Min. : 1.000 Min. :100.0
## 1st Qu.:19.00 1st Qu.:0.00000 1st Qu.: 3.000 1st Qu.:201.0
## Median :21.00 Median :0.00000 Median : 5.000 Median :202.0
## Mean :21.62 Mean :0.07044 Mean : 4.901 Mean :273.7
## 3rd Qu.:24.00 3rd Qu.:0.00000 3rd Qu.: 7.000 3rd Qu.:301.0
## Max. :48.00 Max. :1.00000 Max. :10.000 Max. :998.0
## NA's :57760
## v216 v217 v218 v219
## Min. :0.000 Min. :1.000 Min. : 1.000 Min. : 1.000
## 1st Qu.:1.000 1st Qu.:2.000 1st Qu.: 1.000 1st Qu.: 1.000
## Median :1.000 Median :3.000 Median : 2.000 Median : 2.000
## Mean :0.782 Mean :3.081 Mean : 2.036 Mean : 2.106
## 3rd Qu.:1.000 3rd Qu.:4.000 3rd Qu.: 3.000 3rd Qu.: 3.000
## Max. :1.000 Max. :8.000 Max. :13.000 Max. :13.000
##
## v220 v221 v222 v223
## Min. :1.000 Min. : 0.0 Min. : 0.00 Min. :7
## 1st Qu.:1.000 1st Qu.: 12.0 1st Qu.:10.00 1st Qu.:7
## Median :2.000 Median : 19.0 Median :14.00 Median :7
## Mean :2.092 Mean : 42.5 Mean :14.14 Mean :7
## 3rd Qu.:3.000 3rd Qu.: 30.0 3rd Qu.:18.00 3rd Qu.:7
## Max. :6.000 Max. :996.0 Max. :23.00 Max. :7
## NA's :83 NA's :57758
## v224 v225 v226 v227
## Min. : 1.000 Min. :1.000 Min. : 0.0 Min. :0.0000
## 1st Qu.: 1.000 1st Qu.:1.000 1st Qu.: 0.0 1st Qu.:0.0000
## Median : 2.000 Median :1.000 Median : 0.0 Median :0.0000
## Mean : 2.122 Mean :1.326 Mean :171.1 Mean :0.4282
## 3rd Qu.: 3.000 3rd Qu.:2.000 3rd Qu.: 2.0 3rd Qu.:0.0000
## Max. :16.000 Max. :3.000 Max. :998.0 Max. :9.0000
## NA's :57758
## v228 v229 v230 v231
## Min. :0.0000 Min. : 1.000 Min. :1992 Min. :1108
## 1st Qu.:0.0000 1st Qu.: 3.000 1st Qu.:2014 1st Qu.:1374
## Median :0.0000 Median : 5.000 Median :2016 Median :1402
## Mean :0.1315 Mean : 5.889 Mean :2016 Mean :1392
## 3rd Qu.:0.0000 3rd Qu.: 8.000 3rd Qu.:2018 3rd Qu.:1419
## Max. :1.0000 Max. :12.000 Max. :2021 Max. :1456
## NA's :53963 NA's :53963 NA's :53963
## v232 v233 v234 v235 v237
## Min. :1 Min. :0.000 Min. :0.000 Min. :0.0000 Min. :0
## 1st Qu.:1 1st Qu.:2.000 1st Qu.:0.000 1st Qu.:0.0000 1st Qu.:0
## Median :1 Median :2.000 Median :0.000 Median :0.0000 Median :0
## Mean :1 Mean :2.911 Mean :0.002 Mean :0.8282 Mean :0
## 3rd Qu.:1 3rd Qu.:3.000 3rd Qu.:0.000 3rd Qu.:2.0000 3rd Qu.:0
## Max. :1 Max. :9.000 Max. :1.000 Max. :7.0000 Max. :0
## NA's :53963 NA's :61911 NA's :53963
## v238 v239 v240 v241
## Min. :1.000 Min. :0.000 Min. : 1.000 Min. :1992
## 1st Qu.:1.000 1st Qu.:0.000 1st Qu.: 3.000 1st Qu.:2010
## Median :1.000 Median :0.000 Median : 5.000 Median :2012
## Mean :1.118 Mean :0.263 Mean : 6.272 Mean :2026
## 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.: 8.000 3rd Qu.:2013
## Max. :4.000 Max. :1.000 Max. :98.000 Max. :9998
## NA's :53963 NA's :59985 NA's :59985
## v242 v243 v244 v310
## Min. :1108 Min. :1.00 Min. : NA Min. : 0.000
## 1st Qu.:1322 1st Qu.:1.00 1st Qu.: NA 1st Qu.: 1.000
## Median :1348 Median :1.00 Median : NA Median : 1.000
## Mean :1369 Mean :1.02 Mean :NaN Mean : 1.428
## 3rd Qu.:1363 3rd Qu.:1.00 3rd Qu.: NA 3rd Qu.: 2.000
## Max. :9998 Max. :8.00 Max. : NA Max. :12.000
## NA's :59985 NA's :59985 NA's :62135 NA's :16190
## v311 v312 v313 v315
## Min. :0.000 Min. : 0.000 Min. :0.000 Min. : 1.00
## 1st Qu.:1.000 1st Qu.: 0.000 1st Qu.:0.000 1st Qu.: 3.00
## Median :2.000 Median : 1.000 Median :2.000 Median : 6.00
## Mean :2.333 Mean : 3.304 Mean :1.545 Mean : 6.41
## 3rd Qu.:5.000 3rd Qu.: 6.000 3rd Qu.:3.000 3rd Qu.:10.00
## Max. :5.000 Max. :18.000 Max. :3.000 Max. :12.00
## NA's :26873
## v316 v317 v318 v319
## Min. :2017 Min. :1411 Min. :1.000 Min. :1.000
## 1st Qu.:2018 1st Qu.:1428 1st Qu.:1.000 1st Qu.:1.000
## Median :2019 Median :1433 Median :1.000 Median :1.000
## Mean :2019 Mean :1434 Mean :1.006 Mean :1.013
## 3rd Qu.:2019 3rd Qu.:1440 3rd Qu.:1.000 3rd Qu.:1.000
## Max. :2021 Max. :1456 Max. :8.000 Max. :2.000
## NA's :26873 NA's :26873 NA's :26873 NA's :55060
## v320 v321 v322 v323
## Min. :1.000 Min. :1.000 Min. :1.000 Min. : NA
## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:2.000 1st Qu.: NA
## Median :2.000 Median :2.000 Median :2.000 Median : NA
## Mean :1.963 Mean :2.024 Mean :2.745 Mean :NaN
## 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:3.000 3rd Qu.: NA
## Max. :6.000 Max. :6.000 Max. :5.000 Max. : NA
## NA's :55060 NA's :55062 NA's :55060 NA's :62135
## v323a v325a v326 v327
## Min. : NA Min. : NA Min. :11.00 Min. :1.000
## 1st Qu.: NA 1st Qu.: NA 1st Qu.:14.00 1st Qu.:1.000
## Median : NA Median : NA Median :21.00 Median :1.000
## Mean :NaN Mean :NaN Mean :21.99 Mean :2.724
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:28.00 3rd Qu.:5.000
## Max. : NA Max. : NA Max. :96.00 Max. :7.000
## NA's :62135 NA's :62135 NA's :38512 NA's :38512
## v337 v359 v360 v361
## Min. : 0.000 Min. : 1.000 Min. : 1.000 Min. :1.000
## 1st Qu.: 5.000 1st Qu.: 5.000 1st Qu.: 2.000 1st Qu.:1.000
## Median : 9.000 Median : 5.000 Median : 2.000 Median :1.000
## Mean : 9.703 Mean : 6.282 Mean : 5.201 Mean :2.057
## 3rd Qu.:14.000 3rd Qu.: 9.000 3rd Qu.: 8.000 3rd Qu.:4.000
## Max. :24.000 Max. :16.000 Max. :98.000 Max. :4.000
## NA's :26873 NA's :37681 NA's :37681
## v362 v363 v364 v367
## Min. :1.000 Min. : NA Min. :1.000 Min. :1.000
## 1st Qu.:1.000 1st Qu.: NA 1st Qu.:1.000 1st Qu.:1.000
## Median :2.000 Median : NA Median :2.000 Median :1.000
## Mean :2.651 Mean :NaN Mean :2.375 Mean :1.107
## 3rd Qu.:5.000 3rd Qu.: NA 3rd Qu.:4.000 3rd Qu.:1.000
## Max. :6.000 Max. : NA Max. :5.000 Max. :3.000
## NA's :35420 NA's :62135
## v372 v372a v375a v376
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## v376a v379 v380 v384a
## Min. : NA Min. : NA Min. : NA Min. :0.0000
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.:0.0000
## Median : NA Median : NA Median : NA Median :0.0000
## Mean :NaN Mean :NaN Mean :NaN Mean :0.1493
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:0.0000
## Max. : NA Max. : NA Max. : NA Max. :1.0000
## NA's :62135 NA's :62135 NA's :62135
## v384b v384c v384d v393
## Min. :0.0000 Min. :0.0000 Min. : NA Min. : NA
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.: NA 1st Qu.: NA
## Median :1.0000 Median :0.0000 Median : NA Median : NA
## Mean :0.5489 Mean :0.3305 Mean :NaN Mean :NaN
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.: NA 3rd Qu.: NA
## Max. :1.0000 Max. :1.0000 Max. : NA Max. : NA
## NA's :62135 NA's :62135
## v393a v394 v395 v3a00a
## Min. : NA Min. : NA Min. : NA Min. :0.000
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.:0.000
## Median : NA Median : NA Median : NA Median :0.000
## Mean :NaN Mean :NaN Mean :NaN Mean :0.266
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:1.000
## Max. : NA Max. : NA Max. : NA Max. :1.000
## NA's :62135 NA's :62135 NA's :62135 NA's :35335
## v3a00b v3a00c v3a00d v3a00e
## Min. :0.000 Min. :0.000 Min. :0.00 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.00 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.00 Median :0.000
## Mean :0.002 Mean :0.039 Mean :0.02 Mean :0.138
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.00 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :1.00 Max. :1.000
## NA's :35335 NA's :35335 NA's :35335 NA's :35335
## v3a00f v3a00g v3a00h v3a00i
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.083 Mean :0.074 Mean :0.007 Mean :0.019
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :35335 NA's :35335 NA's :35335 NA's :35335
## v3a00j v3a00k v3a00l v3a00m
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.107 Mean :0.112 Mean :0.063 Mean :0.007
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :35335 NA's :35335 NA's :35335 NA's :35335
## v3a00n v3a00o v3a00p v3a00q
## Min. :0 Min. :0.000 Min. :0 Min. :0.000
## 1st Qu.:0 1st Qu.:0.000 1st Qu.:0 1st Qu.:0.000
## Median :0 Median :0.000 Median :0 Median :0.000
## Mean :0 Mean :0.002 Mean :0 Mean :0.004
## 3rd Qu.:0 3rd Qu.:0.000 3rd Qu.:0 3rd Qu.:0.000
## Max. :1 Max. :1.000 Max. :1 Max. :1.000
## NA's :35335 NA's :35335 NA's :35335 NA's :35335
## v3a00r v3a00s v3a00t v3a00u
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.047 Mean :0.157 Mean :0.164 Mean :0.002
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :35335 NA's :35335 NA's :35335 NA's :35335
## v3a00v v3a00w v3a00x v3a00y
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.002 Mean :0.003 Mean :0.001 Mean :0.342
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:1.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :35335 NA's :35335 NA's :35335 NA's :35335
## v3a00z v3a01 v3a02 v3a03
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:1.000 1st Qu.:0.000 1st Qu.:0.000
## Median :1.000 Median :1.000 Median :1.000 Median :0.000
## Mean :0.658 Mean :0.856 Mean :0.613 Mean :0.139
## 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :35335 NA's :55117 NA's :47364 NA's :56424
## v3a04 v3a05 v3a06 v3a07
## Min. :0.000 Min. :0.00 Min. :0.000 Min. : NA
## 1st Qu.:1.000 1st Qu.:0.00 1st Qu.:0.000 1st Qu.: NA
## Median :1.000 Median :1.00 Median :0.000 Median : NA
## Mean :0.874 Mean :0.68 Mean :0.245 Mean :NaN
## 3rd Qu.:1.000 3rd Qu.:1.00 3rd Qu.:0.000 3rd Qu.: NA
## Max. :1.000 Max. :1.00 Max. :1.000 Max. : NA
## NA's :52279 NA's :38552 NA's :54595 NA's :62135
## v3a08a v3a08b v3a08c v3a08d
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.006 Mean :0.257 Mean :0.078 Mean :0.029
## 3rd Qu.:0.000 3rd Qu.:1.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :47168 NA's :47168 NA's :47168 NA's :47168
## v3a08e v3a08f v3a08g v3a08h
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.038 Mean :0.078 Mean :0.192 Mean :0.048
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :47168 NA's :47168 NA's :47168 NA's :47168
## v3a08i v3a08j v3a08k v3a08l
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.049 Mean :0.136 Mean :0.004 Mean :0.006
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :47168 NA's :47168 NA's :47168 NA's :47168
## v3a08m v3a08n v3a08o v3a08p
## Min. :0.000 Min. :0.000 Min. : NA Min. :0.00
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.: NA 1st Qu.:0.00
## Median :0.000 Median :0.000 Median : NA Median :0.00
## Mean :0.003 Mean :0.006 Mean :NaN Mean :0.05
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.: NA 3rd Qu.:0.00
## Max. :1.000 Max. :1.000 Max. : NA Max. :1.00
## NA's :47168 NA's :47168 NA's :62135 NA's :47168
## v3a08q v3a08r v3a08s v3a08t
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.007 Mean :0.033 Mean :0.009 Mean :0.008
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :47168 NA's :47168 NA's :47168 NA's :47168
## v3a08u v3a08v v3a08w v3a08aa
## Min. :0.000 Min. : NA Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.: NA 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median : NA Median :0.000 Median :0.000
## Mean :0.034 Mean :NaN Mean :0.016 Mean :0.014
## 3rd Qu.:0.000 3rd Qu.: NA 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.000 Max. : NA Max. :1.000 Max. :1.000
## NA's :47168 NA's :62135 NA's :47168 NA's :47168
## v3a08ab v3a08ac v3a08ad v3a08x
## Min. : NA Min. : NA Min. : NA Min. :0.000
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.:0.000
## Median : NA Median : NA Median : NA Median :0.000
## Mean :NaN Mean :NaN Mean :NaN Mean :0.061
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:0.000
## Max. : NA Max. : NA Max. : NA Max. :1.000
## NA's :62135 NA's :62135 NA's :62135 NA's :47168
## v3a08z v3a09a v3a09b v401
## Min. :0.000 Min. : NA Min. : NA Min. :0.0000
## 1st Qu.:0.000 1st Qu.: NA 1st Qu.: NA 1st Qu.:0.0000
## Median :0.000 Median : NA Median : NA Median :0.0000
## Mean :0.017 Mean :NaN Mean :NaN Mean :0.2158
## 3rd Qu.:0.000 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:0.0000
## Max. :1.000 Max. : NA Max. : NA Max. :1.0000
## NA's :47168 NA's :62135 NA's :62135
## v404 v405 v406 v407
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. : NA
## 1st Qu.:1.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.: NA
## Median :1.0000 Median :0.0000 Median :0.0000 Median : NA
## Mean :0.8534 Mean :0.1402 Mean :0.1292 Mean :NaN
## 3rd Qu.:1.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.: NA
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. : NA
## NA's :62135
## v408 v409 v409a juice
## Min. : NA Min. :0.0000 Min. : NA Min. :0.0000
## 1st Qu.: NA 1st Qu.:1.0000 1st Qu.: NA 1st Qu.:0.0000
## Median : NA Median :1.0000 Median : NA Median :0.0000
## Mean :NaN Mean :0.8474 Mean :NaN Mean :0.2245
## 3rd Qu.: NA 3rd Qu.:1.0000 3rd Qu.: NA 3rd Qu.:0.0000
## Max. : NA Max. :8.0000 Max. : NA Max. :1.0000
## NA's :62135 NA's :62135
## v410a milk baby_formula v412
## Min. : NA Min. :0.0000 Min. :0.0000 Min. : NA
## 1st Qu.: NA 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.: NA
## Median : NA Median :0.0000 Median :0.0000 Median : NA
## Mean :NaN Mean :0.4015 Mean :0.1273 Mean :NaN
## 3rd Qu.: NA 3rd Qu.:1.0000 3rd Qu.:0.0000 3rd Qu.: NA
## Max. : NA Max. :1.0000 Max. :8.0000 Max. : NA
## NA's :62135 NA's :62135
## v412a v412b soup liquid
## Min. :0.0000 Min. : NA Min. :0.000 Min. :0.000
## 1st Qu.:0.0000 1st Qu.: NA 1st Qu.:0.000 1st Qu.:0.000
## Median :0.0000 Median : NA Median :0.000 Median :0.000
## Mean :0.1681 Mean :NaN Mean :0.202 Mean :0.228
## 3rd Qu.:0.0000 3rd Qu.: NA 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :8.0000 Max. : NA Max. :1.000 Max. :1.000
## NA's :62135
## v413a v413b v413c v413d
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## meat v414b v414c v414d
## Min. :0.00000 Min. : NA Min. : NA Min. : NA
## 1st Qu.:0.00000 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median :0.00000 Median : NA Median : NA Median : NA
## Mean :0.07881 Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.:0.00000 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. :1.00000 Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135
## grains tubers egg v414h
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. : NA
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.: NA
## Median :1.0000 Median :0.0000 Median :0.0000 Median : NA
## Mean :0.6026 Mean :0.2712 Mean :0.1823 Mean :NaN
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:0.0000 3rd Qu.: NA
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. : NA
## NA's :62135
## yellow_veg green_veg v414k fruits
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.2397 Mean :0.3379 Mean :0.1676 Mean :0.2938
## 3rd Qu.:0.0000 3rd Qu.:1.0000 3rd Qu.:0.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :8.0000 Max. :1.0000
##
## organs fish legumes milk_products
## Min. :0.000 Min. :0.00000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.000 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.000 Median :0.00000 Median :0.0000 Median :0.0000
## Mean :0.072 Mean :0.06402 Mean :0.1872 Mean :0.1331
## 3rd Qu.:0.000 3rd Qu.:0.00000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.000 Max. :1.00000 Max. :1.0000 Max. :1.0000
##
## v414q v414r v414s v414t
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## NA's :62135 NA's :62135
## v414u v414v v414w v415
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## Max. : NA Max. :1.00000 Max. : NA Max. :8.0000
## NA's :62135 NA's :62135 NA's :149
## v416 v417 v418 v418a
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## 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 :1.828 Mean :1.465 Mean :1.118 Mean :1.465
## 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:1.000 3rd Qu.:2.000
## Max. :2.000 Max. :6.000 Max. :4.000 Max. :6.000
##
## v419 v420 v421 v426
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## Median :1.000 Median :21.00 Median : NA Median :101.00
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## 3rd Qu.:2.000 3rd Qu.:22.00 3rd Qu.: NA 3rd Qu.:101.00
## Max. :6.000 Max. :82.00 Max. : NA Max. :240.00
## NA's :530 NA's :62135 NA's :1839
## v437 v438 v439 v440
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## 1st Qu.: 426.0 1st Qu.:1481 1st Qu.: 42 1st Qu.:-263.0
## Median : 484.0 Median :1518 Median : 212 Median :-203.0
## Mean : 727.7 Mean :1725 Mean : 802 Mean :-182.1
## 3rd Qu.: 553.0 3rd Qu.:1561 3rd Qu.: 870 3rd Qu.:-136.0
## Max. :9996.0 Max. :9996 Max. :9998 Max. :9998.0
## NA's :17 NA's :19 NA's :1554 NA's :1554
## v441 v442 v443 v444
## Min. : 7819 Min. : 5577 Min. : 5841 Min. : 5050
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## Median : 9260 Median : 8710 Median : 9877 Median :11470
## Mean : 9429 Mean : 9887 Mean :11090 Mean :12685
## 3rd Qu.: 9505 3rd Qu.: 9758 3rd Qu.:11126 3rd Qu.:12880
## Max. :99998 Max. :99998 Max. :99998 Max. :99998
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## v444a v445 v446 v447
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## 1st Qu.:-167.00 1st Qu.:1876 1st Qu.:1238 1st Qu.:0.00000
## Median : -95.00 Median :2089 Median :1380 Median :0.00000
## Mean : 18.88 Mean :2158 Mean :1429 Mean :0.08381
## 3rd Qu.: -17.00 3rd Qu.:2340 3rd Qu.:1545 3rd Qu.:0.00000
## Max. :9998.00 Max. :9998 Max. :9998 Max. :6.00000
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## v447a v452a v452b v452c v453
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## 1st Qu.:23.00 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:1.00 1st Qu.:106.0
## Median :25.00 Median :2.000 Median :1.500 Median :1.00 Median :116.0
## Mean :26.22 Mean :1.997 Mean :1.929 Mean :2.01 Mean :129.5
## 3rd Qu.:29.00 3rd Qu.:2.000 3rd Qu.:2.750 3rd Qu.:1.00 3rd Qu.:125.0
## Max. :49.00 Max. :2.000 Max. :5.000 Max. :7.00 Max. :998.0
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## v454 v455 v456 v457
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## NA's :1226 NA's :2246
## v458 v459 v460 v461
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## v462 v463a v463b v463c
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## NA's :62135
## v463d v463e v463f v463g
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## 3rd Qu.:0.0000000 3rd Qu.: NA 3rd Qu.:0.0000000 3rd Qu.:0.000000
## Max. :1.0000000 Max. : NA Max. :1.0000000 Max. :1.000000
## NA's :62135
## v463h v463i v463j v463k
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## v463l v463x v463z v463aa
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## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:1.0000 3rd Qu.:0.000000
## Max. :1.00000 Max. :1.00000 Max. :1.0000 Max. :2.000000
##
## v463ab v464 v465 v466
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## Median : NA Median : 2.000 Median : 4.000 Median : NA
## Mean :NaN Mean : 3.978 Mean : 6.419 Mean :NaN
## 3rd Qu.: NA 3rd Qu.: 3.000 3rd Qu.: 9.000 3rd Qu.: NA
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## NA's :62135 NA's :62042 NA's :62135
## v467a v467b v467c v467d
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## NA's :62135
## v467e v467f v467g v467h
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## 3rd Qu.:2.0000 3rd Qu.:2.0000 3rd Qu.:2.0000 3rd Qu.:2.0000
## Max. :2.0000 Max. :2.0000 Max. :2.0000 Max. :2.0000
##
## v467i v467j v467k v467l
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## 1st Qu.:0.000 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median :1.000 Median : NA Median : NA Median : NA
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## 3rd Qu.:2.000 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. :2.000 Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135
## v467m v468 v469e v469f v469x
## Min. : NA Min. :1 Min. :1.000 Min. :1.00 Min. :1.000
## 1st Qu.: NA 1st Qu.:1 1st Qu.:2.000 1st Qu.:1.00 1st Qu.:1.000
## Median : NA Median :1 Median :2.000 Median :2.00 Median :2.000
## Mean :NaN Mean :1 Mean :2.701 Mean :2.19 Mean :1.814
## 3rd Qu.: NA 3rd Qu.:1 3rd Qu.:3.000 3rd Qu.:3.00 3rd Qu.:2.000
## Max. : NA Max. :1 Max. :8.000 Max. :8.00 Max. :8.000
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## v471a v471b v471c v471d
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
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## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## v471e v471f v471g v472a
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## v472b v472c v472d v472e
## Min. : NA Min. : NA Min. : NA Min. : NA
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## Median : NA Median : NA Median : NA Median : NA
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## v472f v472g v472h v472i
## Min. : NA Min. : NA Min. : NA Min. : NA
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## Median : NA Median : NA Median : NA Median : NA
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## v472j v472k v472l v472m
## Min. : NA Min. : NA Min. : NA Min. : NA
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## Median : NA Median : NA Median : NA Median : NA
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## v472n v472o v472p v472q
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## Median : NA Median : NA Median : NA Median : NA
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## v472r v472s v472t v472u
## Min. : NA Min. : NA Min. : NA Min. : NA
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## Median : NA Median : NA Median : NA Median : NA
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## v473a v473b v474 v474a
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## Median :1.000 Median :1.000 Median :1.0000 Median :1.000
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## 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:1.0000 3rd Qu.:1.000
## Max. :7.000 Max. :6.000 Max. :1.0000 Max. :1.000
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## v474b v474c v474d v474e
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## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:1.0000 3rd Qu.:0.0000
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##
## v474f v474g v474h v474i
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## 3rd Qu.:0.00000 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. :1.00000 Max. : NA Max. : NA Max. : NA
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## v474j v474x v474z v475
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## Max. : NA Max. :1.00000 Max. :1.0000 Max. :8.000
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## v476 v477 v478 v479
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## Median :0.0000 Median : 1.000 Median : NA Median : NA
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## 3rd Qu.:0.0000 3rd Qu.: 3.000 3rd Qu.: NA 3rd Qu.: NA
## Max. :8.0000 Max. :98.000 Max. : NA Max. : NA
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## v480 v481 v481a v481b
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## Median :1.0000 Median :0.0000 Median :0.000000 Median :0.00000
## Mean :0.9188 Mean :0.2595 Mean :0.005037 Mean :0.01325
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:0.000000 3rd Qu.:0.00000
## Max. :8.0000 Max. :1.0000 Max. :1.000000 Max. :1.00000
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## v481c v481d v481e v481f
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## Median :0.0000 Median :0.00000 Median :0.0000000 Median :0.000000
## Mean :0.1152 Mean :0.04646 Mean :0.0006116 Mean :0.001223
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##
## v481g v481h v481x v482a
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## Median :0.0000000 Median :0.000000 Median :0.00000 Median : NA
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## Max. :1.0000000 Max. :1.000000 Max. :1.00000 Max. : NA
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## v482b v482c marital_status_mother v502
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## Median : NA Median : NA Median :1.000 Median :1.000
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## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:1.000 3rd Qu.:1.000
## Max. : NA Max. : NA Max. :5.000 Max. :2.000
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## v503 v504 v505 v506
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## Median :1.000 Median :1.000 Median : 0.0000 Median : NA
## Mean :1.018 Mean :1.118 Mean : 0.0887 Mean :NaN
## 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.: 0.0000 3rd Qu.: NA
## Max. :2.000 Max. :2.000 Max. :98.0000 Max. : NA
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## v507 v508 v509 v510 v511
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## Median : 5.000 Median :2014 Median :1376 Median :1.000 Median :19.00
## Mean : 5.316 Mean :2013 Mean :1364 Mean :1.047 Mean :19.63
## 3rd Qu.: 7.000 3rd Qu.:2017 3rd Qu.:1406 3rd Qu.:1.000 3rd Qu.:22.00
## Max. :12.000 Max. :2021 Max. :1454 Max. :8.000 Max. :45.00
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## v512 v513 v525 v527 v528
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## Median : 5.0 Median :2.000 Median :96.00 Median :108.0 Median : 7.00
## Mean : 6.1 Mean :1.811 Mean :61.13 Mean :218.4 Mean :16.39
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## Max. :37.0 Max. :7.000 Max. :98.00 Max. :998.0 Max. :98.00
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## v529 v530 v531 v532
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## Median : 0.0 Median :0.000 Median :19.00 Median :0.0000
## Mean :191.5 Mean :0.745 Mean :21.43 Mean :0.9699
## 3rd Qu.: 3.0 3rd Qu.:0.000 3rd Qu.:22.00 3rd Qu.:0.0000
## Max. :998.0 Max. :9.000 Max. :98.00 Max. :6.0000
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## v535 v536 v537 v538
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## Median :1.000 Median :1.000 Median : 4.00 Median : NA
## Mean :0.856 Mean :1.465 Mean :16.18 Mean :NaN
## 3rd Qu.:1.000 3rd Qu.:2.000 3rd Qu.:11.00 3rd Qu.: NA
## Max. :1.000 Max. :3.000 Max. :97.00 Max. : NA
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## v539 v540 v541 v602
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## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:3.000
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## v603 v604 v605 v613
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## Median :203.0 Median :2.000 Median :4.000 Median : 2.000
## Mean :338.2 Mean :2.585 Mean :3.663 Mean : 3.301
## 3rd Qu.:205.0 3rd Qu.:3.000 3rd Qu.:5.000 3rd Qu.: 3.000
## Max. :998.0 Max. :8.000 Max. :8.000 Max. :96.000
## NA's :35167 NA's :35167 NA's :177
## v614 v616 v621 v623
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## Median :2.000 Median :203.0 Median :1.00 Median :0.0000
## Mean :2.385 Mean :346.2 Mean :1.37 Mean :0.4215
## 3rd Qu.:3.000 3rd Qu.:205.0 3rd Qu.:1.00 3rd Qu.:0.0000
## Max. :7.000 Max. :998.0 Max. :8.00 Max. :3.0000
## NA's :34832 NA's :7850
## v624 v625 v626 v625a
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## Median :4.000 Median :0.0000 Median :4.000 Median :0.0000
## Mean :3.735 Mean :0.4608 Mean :3.795 Mean :0.4283
## 3rd Qu.:4.000 3rd Qu.:0.0000 3rd Qu.:4.000 3rd Qu.:0.0000
## Max. :9.000 Max. :3.0000 Max. :9.000 Max. :3.0000
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## v626a v627 v628 v629
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## 3rd Qu.:4.000 3rd Qu.: 2.000 3rd Qu.: 1.000 3rd Qu.: 0.000
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## NA's :9
## v631 v632 v632a v633a
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## Median : NA Median :3.00 Median : NA Median :1.000
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## 3rd Qu.: NA 3rd Qu.:3.00 3rd Qu.: NA 3rd Qu.:1.000
## Max. : NA Max. :6.00 Max. : NA Max. :8.000
## NA's :62135 NA's :26996 NA's :62135
## v633b v633c v633d v633e
## Min. :0.0000 Min. : NA Min. :0.0000 Min. : NA
## 1st Qu.:1.0000 1st Qu.: NA 1st Qu.:1.0000 1st Qu.: NA
## Median :1.0000 Median : NA Median :1.0000 Median : NA
## Mean :0.9485 Mean :NaN Mean :0.9341 Mean :NaN
## 3rd Qu.:1.0000 3rd Qu.: NA 3rd Qu.:1.0000 3rd Qu.: NA
## Max. :8.0000 Max. : NA Max. :8.0000 Max. : NA
## NA's :62135 NA's :62135
## v633f v633g v634 father_edu
## Min. : NA Min. : NA Min. : NA Min. :0.00
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.:1.00
## Median : NA Median : NA Median : NA Median :2.00
## Mean :NaN Mean :NaN Mean :NaN Mean :1.78
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:2.00
## Max. : NA Max. : NA Max. : NA Max. :8.00
## NA's :62135 NA's :62135 NA's :62135 NA's :52717
## v702 v704 v704a father_occupation
## Min. :0.000 Min. : 1.00 Min. :0.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:57.00 1st Qu.:1.000 1st Qu.:5.000
## Median :4.000 Median :63.00 Median :1.000 Median :6.000
## Mean :4.299 Mean :66.18 Mean :0.933 Mean :5.747
## 3rd Qu.:5.000 3rd Qu.:94.00 3rd Qu.:1.000 3rd Qu.:7.000
## Max. :8.000 Max. :98.00 Max. :2.000 Max. :9.000
## NA's :54112 NA's :52717 NA's :52796 NA's :52717
## v714 v714a v715 income_source
## Min. :0.000 Min. :0.000 Min. : 0.000 Min. : 0.0
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.: 5.000 1st Qu.: 0.0
## Median :0.000 Median :0.000 Median : 9.000 Median : 0.0
## Mean :0.168 Mean :0.006 Mean : 8.853 Mean : 129.8
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:12.000 3rd Qu.: 0.0
## Max. :1.000 Max. :1.000 Max. :98.000 Max. :99998.0
## NA's :52708 NA's :54247 NA's :52717 NA's :52708
## mother_occupation v719 v721 v729
## Min. : 0.000 Min. :1.000 Min. : NA Min. :0.000
## 1st Qu.: 0.000 1st Qu.:1.000 1st Qu.: NA 1st Qu.:1.000
## Median : 0.000 Median :1.000 Median : NA Median :3.000
## Mean : 1.318 Mean :1.307 Mean :NaN Mean :2.693
## 3rd Qu.: 0.000 3rd Qu.:1.000 3rd Qu.: NA 3rd Qu.:3.000
## Max. :98.000 Max. :3.000 Max. : NA Max. :8.000
## NA's :52708 NA's :60115 NA's :62135 NA's :52717
## father_age_marriage v731 v732 earning_power
## Min. :15.00 Min. :0.000 Min. :1.000 Min. :1.000
## 1st Qu.:26.00 1st Qu.:0.000 1st Qu.:1.000 1st Qu.:2.000
## Median :30.00 Median :0.000 Median :1.000 Median :2.000
## Mean :30.61 Mean :0.387 Mean :1.501 Mean :2.232
## 3rd Qu.:34.00 3rd Qu.:0.000 3rd Qu.:2.000 3rd Qu.:2.000
## Max. :95.00 Max. :3.000 Max. :3.000 Max. :5.000
## NA's :52795 NA's :52708 NA's :60115 NA's :60651
## v740 v741 v743a purchase_power
## Min. : NA Min. :0.000 Min. :1.000 Min. :1.000
## 1st Qu.: NA 1st Qu.:1.000 1st Qu.:2.000 1st Qu.:2.000
## Median : NA Median :1.000 Median :2.000 Median :2.000
## Mean :NaN Mean :0.975 Mean :2.372 Mean :2.514
## 3rd Qu.: NA 3rd Qu.:1.000 3rd Qu.:2.000 3rd Qu.:2.000
## Max. : NA Max. :3.000 Max. :6.000 Max. :6.000
## NA's :62135 NA's :60115 NA's :52796 NA's :52796
## v743c v743d v743e v743f
## Min. : NA Min. :1.000 Min. : NA Min. :1.000
## 1st Qu.: NA 1st Qu.:2.000 1st Qu.: NA 1st Qu.:2.000
## Median : NA Median :2.000 Median : NA Median :2.000
## Mean :NaN Mean :2.438 Mean :NaN Mean :2.551
## 3rd Qu.: NA 3rd Qu.:2.000 3rd Qu.: NA 3rd Qu.:4.000
## Max. : NA Max. :6.000 Max. : NA Max. :7.000
## NA's :62135 NA's :52796 NA's :62135 NA's :52887
## v744a v744b v744c v744d
## Min. :0.0 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.0 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.0 Median :0.000 Median :0.000 Median :0.000
## Mean :0.2 Mean :0.257 Mean :0.236 Mean :0.125
## 3rd Qu.:0.0 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :8.0 Max. :8.000 Max. :8.000 Max. :8.000
## NA's :52708 NA's :52708 NA's :52708 NA's :52708
## v744e v745a v745b v745c
## Min. :0.000 Min. :0.000 Min. :0.000 Min. : NA
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.: NA
## Median :0.000 Median :0.000 Median :0.000 Median : NA
## Mean :0.153 Mean :1.043 Mean :0.862 Mean :NaN
## 3rd Qu.:0.000 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.: NA
## Max. :8.000 Max. :3.000 Max. :3.000 Max. : NA
## NA's :52708 NA's :52708 NA's :52708 NA's :62135
## v745d v746 bidx birth_order
## Min. : NA Min. :1.000 Min. :1.000 Min. : 1.00
## 1st Qu.: NA 1st Qu.:2.000 1st Qu.:1.000 1st Qu.: 1.00
## Median : NA Median :2.000 Median :1.000 Median : 2.00
## Mean :NaN Mean :2.195 Mean :1.003 Mean : 2.12
## 3rd Qu.: NA 3rd Qu.:3.000 3rd Qu.:1.000 3rd Qu.: 3.00
## Max. : NA Max. :8.000 Max. :3.000 Max. :16.00
## NA's :62135 NA's :60651
## b0 b1 b2 b3
## Min. :0.00000 Min. : 1.000 Min. :2017 Min. :1411
## 1st Qu.:0.00000 1st Qu.: 3.000 1st Qu.:2018 1st Qu.:1422
## Median :0.00000 Median : 7.000 Median :2018 Median :1428
## Mean :0.01635 Mean : 6.484 Mean :2019 Mean :1429
## 3rd Qu.:0.00000 3rd Qu.:10.000 3rd Qu.:2019 3rd Qu.:1435
## Max. :3.00000 Max. :12.000 Max. :2020 Max. :1450
##
## sex_child b5 b6 b7 b8
## Min. :1.00 Min. :1 Min. : NA Min. : NA Min. :0.0000
## 1st Qu.:1.00 1st Qu.:1 1st Qu.: NA 1st Qu.: NA 1st Qu.:0.0000
## Median :1.00 Median :1 Median : NA Median : NA Median :1.0000
## Mean :1.48 Mean :1 Mean :NaN Mean :NaN Mean :0.6535
## 3rd Qu.:2.00 3rd Qu.:1 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:1.0000
## Max. :2.00 Max. :1 Max. : NA Max. : NA Max. :1.0000
## NA's :62135 NA's :62135
## b9 b10 birth_interval b12 b13
## Min. :0 Min. :1.000 Min. : 8.00 Min. : 8.00 Min. : NA
## 1st Qu.:0 1st Qu.:1.000 1st Qu.: 24.00 1st Qu.:12.00 1st Qu.: NA
## Median :0 Median :1.000 Median : 34.00 Median :14.00 Median : NA
## Mean :0 Mean :1.001 Mean : 41.09 Mean :14.62 Mean :NaN
## 3rd Qu.:0 3rd Qu.:1.000 3rd Qu.: 51.00 3rd Qu.:17.50 3rd Qu.: NA
## Max. :0 Max. :6.000 Max. :264.00 Max. :23.00 Max. : NA
## NA's :24119 NA's :62032 NA's :62135
## b15 b16 b17 b18
## Min. :0 Min. : 2.000 Min. : 1.00 Min. :42921
## 1st Qu.:0 1st Qu.: 4.000 1st Qu.: 8.00 1st Qu.:43262
## Median :0 Median : 5.000 Median :15.00 Median :43447
## Mean :0 Mean : 5.438 Mean :15.18 Mean :43470
## 3rd Qu.:0 3rd Qu.: 6.000 3rd Qu.:23.00 3rd Qu.:43660
## Max. :0 Max. :31.000 Max. :31.00 Max. :44130
## NA's :23913
## b19 b20 m1 m1a
## Min. : 0.00 Min. : NA Min. :0.000 Min. :0.000
## 1st Qu.:10.00 1st Qu.: NA 1st Qu.:2.000 1st Qu.:0.000
## Median :14.00 Median : NA Median :2.000 Median :1.000
## Mean :14.17 Mean :NaN Mean :1.949 Mean :1.255
## 3rd Qu.:18.00 3rd Qu.: NA 3rd Qu.:2.000 3rd Qu.:2.000
## Max. :23.00 Max. : NA Max. :8.000 Max. :8.000
## NA's :62135 NA's :172 NA's :51125
## m1b m1c m1d m1e
## Min. : NA Min. : NA Min. : 0.0 Min. : 973
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: 1.0 1st Qu.:1406
## Median : NA Median : NA Median : 2.0 Median :1419
## Mean :NaN Mean :NaN Mean :10.6 Mean :2148
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: 3.0 3rd Qu.:1429
## Max. : NA Max. : NA Max. :98.0 Max. :9996
## NA's :62135 NA's :62135 NA's :55780 NA's :55780
## m2a m2b m2c m2d
## Min. :0.0000 Min. :0.0000 Min. : NA Min. : NA
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.: NA 1st Qu.: NA
## Median :1.0000 Median :1.0000 Median : NA Median : NA
## Mean :0.6022 Mean :0.5424 Mean :NaN Mean :NaN
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.: NA 3rd Qu.: NA
## Max. :1.0000 Max. :1.0000 Max. : NA Max. : NA
## NA's :172 NA's :172 NA's :62135 NA's :62135
## m2e m2f m2g m2h
## Min. : NA Min. : NA Min. :0.00000 Min. :0.000000
## 1st Qu.: NA 1st Qu.: NA 1st Qu.:0.00000 1st Qu.:0.000000
## Median : NA Median : NA Median :0.00000 Median :0.000000
## Mean :NaN Mean :NaN Mean :0.01127 Mean :0.007504
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:0.00000 3rd Qu.:0.000000
## Max. : NA Max. : NA Max. :1.00000 Max. :1.000000
## NA's :62135 NA's :62135 NA's :172 NA's :172
## received_anc m2j m2k m2l
## Min. :0.0000 Min. :0.000 Min. :0.000000 Min. : NA
## 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.000000 1st Qu.: NA
## Median :0.0000 Median :0.000 Median :0.000000 Median : NA
## Mean :0.1994 Mean :0.193 Mean :0.002017 Mean :NaN
## 3rd Qu.:0.0000 3rd Qu.:0.000 3rd Qu.:0.000000 3rd Qu.: NA
## Max. :1.0000 Max. :1.000 Max. :1.000000 Max. : NA
## NA's :172 NA's :172 NA's :172 NA's :62135
## m2m m2n m3a seen_by_anm
## Min. : NA Min. :0.00000 Min. :0.0 Min. :0.0000
## 1st Qu.: NA 1st Qu.:0.00000 1st Qu.:0.0 1st Qu.:0.0000
## Median : NA Median :0.00000 Median :1.0 Median :1.0000
## Mean :NaN Mean :0.06141 Mean :0.6 Mean :0.6544
## 3rd Qu.: NA 3rd Qu.:0.00000 3rd Qu.:1.0 3rd Qu.:1.0000
## Max. : NA Max. :1.00000 Max. :1.0 Max. :1.0000
## NA's :62135 NA's :172
## m3c m3d m3e m3f
## Min. :0.00000 Min. : NA Min. : NA Min. : NA
## 1st Qu.:0.00000 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median :0.00000 Median : NA Median : NA Median : NA
## Mean :0.02712 Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.:0.00000 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. :1.00000 Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135
## seen_by_tba m3h m3i m3j
## Min. :0.00000 Min. :0.0000 Min. : NA Min. : NA
## 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.: NA 1st Qu.: NA
## Median :0.00000 Median :0.0000 Median : NA Median : NA
## Mean :0.09056 Mean :0.1934 Mean :NaN Mean :NaN
## 3rd Qu.:0.00000 3rd Qu.:0.0000 3rd Qu.: NA 3rd Qu.: NA
## Max. :1.00000 Max. :1.0000 Max. : NA Max. : NA
## NA's :62135 NA's :62135
## m3k m3l m3m m3n
## Min. :0.00000 Min. : NA Min. : NA Min. :0.000000
## 1st Qu.:0.00000 1st Qu.: NA 1st Qu.: NA 1st Qu.:0.000000
## Median :0.00000 Median : NA Median : NA Median :0.000000
## Mean :0.01854 Mean :NaN Mean :NaN Mean :0.002462
## 3rd Qu.:0.00000 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:0.000000
## Max. :1.00000 Max. : NA Max. : NA Max. :1.000000
## NA's :62135 NA's :62135
## breastfeeding m5 m6 m7
## Min. : 0.00 Min. : 0.00 Min. : 0.00 Min. : 0.000
## 1st Qu.:95.00 1st Qu.: 9.00 1st Qu.: 2.00 1st Qu.: 2.000
## Median :95.00 Median :13.00 Median : 5.00 Median : 5.000
## Mean :85.14 Mean :15.66 Mean :18.18 Mean : 6.006
## 3rd Qu.:95.00 3rd Qu.:18.00 3rd Qu.: 9.00 3rd Qu.: 8.000
## Max. :98.00 Max. :98.00 Max. :98.00 Max. :98.000
## NA's :140 NA's :140
## m8 m9 m10 m11
## Min. : 0.00 Min. : 0.000 Min. :1.000 Min. :101.0
## 1st Qu.: 2.00 1st Qu.: 2.000 1st Qu.:1.000 1st Qu.:202.0
## Median : 4.00 Median : 4.000 Median :1.000 Median :202.0
## Mean :16.62 Mean : 5.984 Mean :1.107 Mean :220.8
## 3rd Qu.: 6.00 3rd Qu.: 6.000 3rd Qu.:1.000 3rd Qu.:203.0
## Max. :98.00 Max. :98.000 Max. :3.000 Max. :998.0
## NA's :2 NA's :2 NA's :59473
## m13 m14 m15 delivery_type
## Min. : 0.000 Min. : 0.000 Min. :11.00 Min. :0.0000
## 1st Qu.: 2.000 1st Qu.: 3.000 1st Qu.:21.00 1st Qu.:0.0000
## Median : 3.000 Median : 4.000 Median :24.00 Median :0.0000
## Mean : 3.453 Mean : 6.088 Mean :23.46 Mean :0.2158
## 3rd Qu.: 4.000 3rd Qu.: 7.000 3rd Qu.:25.00 3rd Qu.:0.0000
## Max. :98.000 Max. :98.000 Max. :96.00 Max. :1.0000
## NA's :3977 NA's :172
## m17a birth_size birth_weight m19a m27
## Min. :1.000 Min. :1.000 Min. : 500 Min. :0.000 Min. :0
## 1st Qu.:1.000 1st Qu.:3.000 1st Qu.:2500 1st Qu.:1.000 1st Qu.:0
## Median :1.000 Median :3.000 Median :3000 Median :1.000 Median :0
## Mean :1.467 Mean :2.925 Mean :3372 Mean :1.367 Mean :0
## 3rd Qu.:2.000 3rd Qu.:3.000 3rd Qu.:3200 3rd Qu.:2.000 3rd Qu.:0
## Max. :8.000 Max. :8.000 Max. :9998 Max. :8.000 Max. :0
## NA's :48726
## m28 m29 m34 m35
## Min. :0.0000 Min. :0.0000 Min. : 0.00 Min. : NA
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.: 0.00 1st Qu.: NA
## Median :0.0000 Median :0.0000 Median :101.00 Median : NA
## Mean :0.5472 Mean :0.5809 Mean : 64.46 Mean :NaN
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:101.00 3rd Qu.: NA
## Max. :4.0000 Max. :4.0000 Max. :240.00 Max. : NA
## NA's :1919 NA's :62135
## m36 m38 cf_practice meal_count
## Min. : NA Min. :0.0000 Min. :0.0000 Min. :0.000
## 1st Qu.: NA 1st Qu.:0.0000 1st Qu.:1.0000 1st Qu.:1.000
## Median : NA Median :0.0000 Median :1.0000 Median :2.000
## Mean :NaN Mean :0.2417 Mean :0.7613 Mean :1.959
## 3rd Qu.: NA 3rd Qu.:0.0000 3rd Qu.:1.0000 3rd Qu.:3.000
## Max. : NA Max. :8.0000 Max. :1.0000 Max. :8.000
## NA's :62135
## m42a m42b m42c m42d
## Min. :0.0000 Min. : NA Min. :0.0000 Min. :0.0000
## 1st Qu.:1.0000 1st Qu.: NA 1st Qu.:1.0000 1st Qu.:1.0000
## Median :1.0000 Median : NA Median :1.0000 Median :1.0000
## Mean :0.9743 Mean :NaN Mean :0.9679 Mean :0.9403
## 3rd Qu.:1.0000 3rd Qu.: NA 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. : NA Max. :1.0000 Max. :1.0000
## NA's :3977 NA's :62135 NA's :3977 NA's :3977
## m42e m43 m44 m45
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:1.0000 1st Qu.:1.0000 1st Qu.:1.0000 1st Qu.:1.0000
## Median :1.0000 Median :1.0000 Median :1.0000 Median :1.0000
## Mean :0.9484 Mean :0.7818 Mean :0.8017 Mean :0.9021
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :8.0000
## NA's :3977 NA's :3977 NA's :3977 NA's :172
## m46 m47 m48 m49a
## Min. : 0 Min. :0.0000 Min. : NA Min. : NA
## 1st Qu.: 40 1st Qu.:0.0000 1st Qu.: NA 1st Qu.: NA
## Median :100 Median :0.0000 Median : NA Median : NA
## Mean :129 Mean :0.1099 Mean :NaN Mean :NaN
## 3rd Qu.:180 3rd Qu.:0.0000 3rd Qu.: NA 3rd Qu.: NA
## Max. :998 Max. :8.0000 Max. : NA Max. : NA
## NA's :7493 NA's :172 NA's :62135 NA's :62135
## m49b m49c m49d m49e
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## m49f m49g m49x m49z
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## m49y m54 m55 m55a
## Min. : NA Min. : NA Min. :0.0000 Min. :0.0000
## 1st Qu.: NA 1st Qu.: NA 1st Qu.:0.0000 1st Qu.:0.0000
## Median : NA Median : NA Median :0.0000 Median :0.0000
## Mean :NaN Mean :NaN Mean :0.1536 Mean :0.1056
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. : NA Max. : NA Max. :1.0000 Max. :1.0000
## NA's :62135 NA's :62135 NA's :1933 NA's :1933
## m55b m55c m55d m55e
## Min. :0.0000 Min. :0.00000 Min. :0.0000 Min. :0.00000
## 1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0.00000
## Median :0.0000 Median :0.00000 Median :0.0000 Median :0.00000
## Mean :0.0255 Mean :0.00894 Mean :0.0045 Mean :0.00229
## 3rd Qu.:0.0000 3rd Qu.:0.00000 3rd Qu.:0.0000 3rd Qu.:0.00000
## Max. :1.0000 Max. :1.00000 Max. :1.0000 Max. :1.00000
## NA's :1933 NA's :1933 NA's :1933 NA's :1933
## m55f m55g m55h m55i
## Min. :0.00000 Min. :0.00000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.00000 Median :0.00000 Median :0.00000 Median :0.00000
## Mean :0.00316 Mean :0.00743 Mean :0.00807 Mean :0.01186
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.00000 Max. :1.00000 Max. :1.00000
## NA's :1933 NA's :1933 NA's :1933 NA's :1933
## m55j m55k m55l m55m
## Min. : NA Min. :0.00000 Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.:0.00000 1st Qu.: NA 1st Qu.: NA
## Median : NA Median :0.00000 Median : NA Median : NA
## Mean :NaN Mean :0.00882 Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.:0.00000 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. :1.00000 Max. : NA Max. : NA
## NA's :62135 NA's :1933 NA's :62135 NA's :62135
## m55n m55o m55x m55z
## Min. : NA Min. : NA Min. :0.00000 Min. :0.0000
## 1st Qu.: NA 1st Qu.: NA 1st Qu.:0.00000 1st Qu.:1.0000
## Median : NA Median : NA Median :0.00000 Median :1.0000
## Mean :NaN Mean :NaN Mean :0.00568 Mean :0.8464
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:0.00000 3rd Qu.:1.0000
## Max. : NA Max. : NA Max. :1.00000 Max. :1.0000
## NA's :62135 NA's :62135 NA's :1933 NA's :1933
## m57a m57b m57c m57d
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. : NA
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.: NA
## Median :0.0000 Median :0.0000 Median :0.0000 Median : NA
## Mean :0.1563 Mean :0.0033 Mean :0.0554 Mean :NaN
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.: NA
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. : NA
## NA's :3977 NA's :3977 NA's :3977 NA's :62135
## m57e m57f m57g m57h
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.2347 Mean :0.0278 Mean :0.0158 Mean :0.2132
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## NA's :3977 NA's :3977 NA's :3977 NA's :3977
## m57i m57j received_pnc m57l
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.1065 Mean :0.0816 Mean :0.2846 Mean :0.0059
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## NA's :3977 NA's :3977 NA's :3977 NA's :3977
## m57m m57n m57o m57p
## Min. :0.0000 Min. :0.0000 Min. : NA Min. : NA
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.: NA 1st Qu.: NA
## Median :0.0000 Median :0.0000 Median : NA Median : NA
## Mean :0.2488 Mean :0.0074 Mean :NaN Mean :NaN
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.: NA 3rd Qu.: NA
## Max. :1.0000 Max. :1.0000 Max. : NA Max. : NA
## NA's :3977 NA's :3977 NA's :62135 NA's :62135
## m57q m57r m57s m57t
## Min. : NA Min. : NA Min. :0.0000 Min. :0.0000
## 1st Qu.: NA 1st Qu.: NA 1st Qu.:0.0000 1st Qu.:0.0000
## Median : NA Median : NA Median :0.0000 Median :0.0000
## Mean :NaN Mean :NaN Mean :0.0013 Mean :0.0034
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. : NA Max. : NA Max. :1.0000 Max. :1.0000
## NA's :62135 NA's :62135 NA's :3977 NA's :3977
## m57u m57v m57x m60
## Min. : NA Min. : NA Min. :0.0000 Min. :0.0000
## 1st Qu.: NA 1st Qu.: NA 1st Qu.:0.0000 1st Qu.:0.0000
## Median : NA Median : NA Median :0.0000 Median :0.0000
## Mean :NaN Mean :NaN Mean :0.0031 Mean :0.3925
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:0.0000 3rd Qu.:1.0000
## Max. : NA Max. : NA Max. :1.0000 Max. :8.0000
## NA's :62135 NA's :62135 NA's :3977 NA's :172
## m61 m62 m63 m64
## Min. :100.0 Min. :0.0000 Min. :100 Min. :11.0
## 1st Qu.:201.0 1st Qu.:1.0000 1st Qu.:101 1st Qu.:11.0
## Median :202.0 Median :1.0000 Median :101 Median :11.0
## Mean :202.4 Mean :0.8704 Mean :119 Mean :11.5
## 3rd Qu.:204.0 3rd Qu.:1.0000 3rd Qu.:102 3rd Qu.:12.0
## Max. :998.0 Max. :1.0000 Max. :998 Max. :96.0
## NA's :7284 NA's :7284 NA's :14395 NA's :14395
## m65a m65b m65c m65d
## Min. :0.00000 Min. :0.00000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.00000 Median :0.00000 Median :0.00000 Median :0.00000
## Mean :0.01662 Mean :0.01047 Mean :0.02579 Mean :0.00531
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.00000 Max. :1.00000 Max. :1.00000
## NA's :172 NA's :172 NA's :172 NA's :172
## m65e m65f m65g m65h
## Min. :0.000000 Min. :0.00000 Min. :0.00000 Min. :0.000000
## 1st Qu.:0.000000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.000000
## Median :0.000000 Median :0.00000 Median :0.00000 Median :0.000000
## Mean :0.003631 Mean :0.01685 Mean :0.03794 Mean :0.003583
## 3rd Qu.:0.000000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.000000
## Max. :1.000000 Max. :1.00000 Max. :1.00000 Max. :1.000000
## NA's :172 NA's :172 NA's :172 NA's :172
## m65i m65j m65k m65l
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## m65x m66 m67 m68
## Min. :0.00000 Min. :0.0000 Min. :100.0 Min. :11.00
## 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:102.0 1st Qu.:11.00
## Median :0.00000 Median :0.0000 Median :202.0 Median :12.00
## Mean :0.01707 Mean :0.4622 Mean :205.6 Mean :14.87
## 3rd Qu.:0.00000 3rd Qu.:1.0000 3rd Qu.:301.0 3rd Qu.:21.00
## Max. :1.00000 Max. :1.0000 Max. :998.0 Max. :96.00
## NA's :172 NA's :172 NA's :33497 NA's :33497
## m69 m70 m71 m72
## Min. :11.00 Min. :0.0000 Min. :100.0 Min. :11.00
## 1st Qu.:11.00 1st Qu.:0.0000 1st Qu.:201.0 1st Qu.:11.00
## Median :21.00 Median :0.0000 Median :205.0 Median :12.00
## Mean :20.36 Mean :0.4586 Mean :234.7 Mean :15.45
## 3rd Qu.:25.00 3rd Qu.:1.0000 3rd Qu.:302.0 3rd Qu.:21.00
## Max. :96.00 Max. :8.0000 Max. :998.0 Max. :96.00
## NA's :33497 NA's :172 NA's :33900 NA's :33900
## m73 m74 m75 m76
## Min. :11.00 Min. :0.0000 Min. :100.0 Min. :11.00
## 1st Qu.:11.00 1st Qu.:1.0000 1st Qu.:100.0 1st Qu.:11.00
## Median :21.00 Median :1.0000 Median :101.0 Median :11.00
## Mean :20.01 Mean :0.9399 Mean :120.9 Mean :11.52
## 3rd Qu.:25.00 3rd Qu.:1.0000 3rd Qu.:102.0 3rd Qu.:12.00
## Max. :96.00 Max. :8.0000 Max. :998.0 Max. :96.00
## NA's :33900 NA's :7284 NA's :13022 NA's :13022
## m77 m78a m78b m78c
## Min. :0.0000 Min. : NA Min. : NA Min. : NA
## 1st Qu.:1.0000 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median :1.0000 Median : NA Median : NA Median : NA
## Mean :0.9013 Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.:1.0000 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. :8.0000 Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135
## m78d m78e m78f m78g
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## m78h m78i m78j hidx
## Min. : NA Min. : NA Min. : NA Min. :1.000
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.:1.000
## Median : NA Median : NA Median : NA Median :1.000
## Mean :NaN Mean :NaN Mean :NaN Mean :1.003
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:1.000
## Max. : NA Max. : NA Max. : NA Max. :3.000
## NA's :62135 NA's :62135 NA's :62135
## h1 h1a h2 h2d
## Min. :0.000 Min. :0.000 Min. :0.000 Min. : 1.00
## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.: 8.00
## Median :1.000 Median :1.000 Median :1.000 Median :15.00
## Mean :1.102 Mean :1.031 Mean :1.078 Mean :15.31
## 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:23.00
## Max. :3.000 Max. :2.000 Max. :8.000 Max. :98.00
## NA's :10211
## h2m h2y h3 h3d
## Min. : 1.000 Min. :2017 Min. :0.000 Min. : 1.00
## 1st Qu.: 3.000 1st Qu.:2018 1st Qu.:1.000 1st Qu.: 7.00
## Median : 7.000 Median :2019 Median :1.000 Median :15.00
## Mean : 6.541 Mean :2023 Mean :1.081 Mean :14.91
## 3rd Qu.:10.000 3rd Qu.:2019 3rd Qu.:1.000 3rd Qu.:22.00
## Max. :98.000 Max. :9998 Max. :8.000 Max. :98.00
## NA's :10211 NA's :10211 NA's :11908
## h3m h3y h4 h4d
## Min. : 1.000 Min. :2017 Min. :0.000 Min. : 1.0
## 1st Qu.: 3.000 1st Qu.:2018 1st Qu.:1.000 1st Qu.: 7.0
## Median : 6.000 Median :2019 Median :1.000 Median :14.0
## Mean : 6.665 Mean :2034 Mean :1.031 Mean :14.8
## 3rd Qu.:10.000 3rd Qu.:2019 3rd Qu.:1.000 3rd Qu.:22.0
## Max. :98.000 Max. :9998 Max. :8.000 Max. :98.0
## NA's :11908 NA's :11908 NA's :11996
## h4m h4y h5 h5d
## Min. : 1.000 Min. :2017 Min. :0.00 Min. : 1.00
## 1st Qu.: 3.000 1st Qu.:2018 1st Qu.:1.00 1st Qu.: 7.00
## Median : 6.000 Median :2019 Median :1.00 Median :15.00
## Mean : 6.571 Mean :2025 Mean :1.05 Mean :14.92
## 3rd Qu.:10.000 3rd Qu.:2019 3rd Qu.:1.00 3rd Qu.:22.00
## Max. :98.000 Max. :9998 Max. :8.00 Max. :98.00
## NA's :11996 NA's :11996 NA's :13364
## h5m h5y h6 h6d
## Min. : 1.000 Min. :2017 Min. :0.0000 Min. : 1.0
## 1st Qu.: 3.000 1st Qu.:2018 1st Qu.:1.0000 1st Qu.: 7.0
## Median : 6.000 Median :2019 Median :1.0000 Median :14.0
## Mean : 6.675 Mean :2037 Mean :0.9752 Mean :14.8
## 3rd Qu.: 9.000 3rd Qu.:2019 3rd Qu.:1.0000 3rd Qu.:22.0
## Max. :98.000 Max. :9998 Max. :8.0000 Max. :98.0
## NA's :13364 NA's :13364 NA's :13438
## h6m h6y h7 h7d
## Min. : 1.000 Min. :2017 Min. :0.0000 Min. : 1.00
## 1st Qu.: 3.000 1st Qu.:2018 1st Qu.:1.0000 1st Qu.: 7.00
## Median : 6.000 Median :2019 Median :1.0000 Median :15.00
## Mean : 6.562 Mean :2027 Mean :0.9886 Mean :14.98
## 3rd Qu.: 9.000 3rd Qu.:2019 3rd Qu.:1.0000 3rd Qu.:22.00
## Max. :98.000 Max. :9998 Max. :8.0000 Max. :98.00
## NA's :13438 NA's :13438 NA's :15876
## h7m h7y h8 h8d
## Min. : 1.00 Min. :2017 Min. :0.0000 Min. : 1.00
## 1st Qu.: 4.00 1st Qu.:2018 1st Qu.:1.0000 1st Qu.: 7.00
## Median : 7.00 Median :2019 Median :1.0000 Median :15.00
## Mean : 6.74 Mean :2039 Mean :0.8684 Mean :14.86
## 3rd Qu.: 9.00 3rd Qu.:2019 3rd Qu.:1.0000 3rd Qu.:22.00
## Max. :98.00 Max. :9998 Max. :8.0000 Max. :98.00
## NA's :15876 NA's :15876 NA's :16244
## h8m h8y h9 h9d
## Min. : 1.000 Min. :2017 Min. :0.000 Min. : 1.00
## 1st Qu.: 4.000 1st Qu.:2018 1st Qu.:1.000 1st Qu.: 7.00
## Median : 7.000 Median :2019 Median :1.000 Median :14.00
## Mean : 6.628 Mean :2030 Mean :1.829 Mean :14.78
## 3rd Qu.: 9.000 3rd Qu.:2019 3rd Qu.:4.000 3rd Qu.:21.00
## Max. :98.000 Max. :9998 Max. :8.000 Max. :98.00
## NA's :16244 NA's :16244 NA's :32697
## h9m h9y h9a h9ad
## Min. : 1.000 Min. :2017 Min. :0.0000 Min. : 1.0
## 1st Qu.: 4.000 1st Qu.:2019 1st Qu.:0.0000 1st Qu.: 7.0
## Median : 7.000 Median :2019 Median :0.0000 Median :14.0
## Mean : 7.088 Mean :2052 Mean :0.3268 Mean :15.5
## 3rd Qu.:10.000 3rd Qu.:2020 3rd Qu.:0.0000 3rd Qu.:21.0
## Max. :98.000 Max. :9998 Max. :8.0000 Max. :98.0
## NA's :32697 NA's :32697 NA's :51679
## h9am h9ay h0 h0d
## Min. : 1.000 Min. :2017 Min. :0.0000 Min. : 1.00
## 1st Qu.: 4.000 1st Qu.:2019 1st Qu.:1.0000 1st Qu.: 8.00
## Median : 7.000 Median :2019 Median :1.0000 Median :15.00
## Mean : 8.244 Mean :2135 Mean :0.9829 Mean :15.46
## 3rd Qu.:10.000 3rd Qu.:2020 3rd Qu.:1.0000 3rd Qu.:23.00
## Max. :98.000 Max. :9998 Max. :8.0000 Max. :98.00
## NA's :51679 NA's :51679 NA's :17051
## h0m h0y h10 h33
## Min. : 1.000 Min. :2017 Min. :0.000 Min. :0.000
## 1st Qu.: 3.000 1st Qu.:2018 1st Qu.:1.000 1st Qu.:0.000
## Median : 7.000 Median :2019 Median :1.000 Median :1.000
## Mean : 6.675 Mean :2033 Mean :0.928 Mean :1.176
## 3rd Qu.:10.000 3rd Qu.:2019 3rd Qu.:1.000 3rd Qu.:2.000
## Max. :98.000 Max. :9998 Max. :8.000 Max. :8.000
## NA's :17051 NA's :17051 NA's :54535
## h33d h33m h33y h35
## Min. : 1.00 Min. : 1.000 Min. :2017 Min. : NA
## 1st Qu.: 7.00 1st Qu.: 4.000 1st Qu.:2019 1st Qu.: NA
## Median :14.00 Median : 7.000 Median :2019 Median : NA
## Mean :14.94 Mean : 7.228 Mean :2063 Mean :NaN
## 3rd Qu.:21.00 3rd Qu.:10.000 3rd Qu.:2020 3rd Qu.: NA
## Max. :98.00 Max. :98.000 Max. :9998 Max. : NA
## NA's :38747 NA's :38747 NA's :38747 NA's :62135
## h36a h36b h36c h36d
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## h36e h36f h40 h40d
## Min. : NA Min. : NA Min. :0.0000 Min. : 1.00
## 1st Qu.: NA 1st Qu.: NA 1st Qu.:0.0000 1st Qu.: 7.00
## Median : NA Median : NA Median :0.0000 Median :14.00
## Mean :NaN Mean :NaN Mean :0.2724 Mean :16.52
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:0.0000 3rd Qu.:22.00
## Max. : NA Max. : NA Max. :8.0000 Max. :98.00
## NA's :62135 NA's :62135 NA's :54641
## h40m h40y h41a h41b
## Min. : 1.000 Min. :2017 Min. : NA Min. : NA
## 1st Qu.: 4.000 1st Qu.:2019 1st Qu.: NA 1st Qu.: NA
## Median : 8.000 Median :2019 Median : NA Median : NA
## Mean : 9.129 Mean :2219 Mean :NaN Mean :NaN
## 3rd Qu.:10.000 3rd Qu.:2020 3rd Qu.: NA 3rd Qu.: NA
## Max. :98.000 Max. :9998 Max. : NA Max. : NA
## NA's :54641 NA's :54641 NA's :62135 NA's :62135
## h50 h50d h50m h50y
## Min. :0.0000 Min. : 1.00 Min. : 1.000 Min. :2017
## 1st Qu.:0.0000 1st Qu.: 8.00 1st Qu.: 3.000 1st Qu.:2018
## Median :1.0000 Median :15.00 Median : 7.000 Median :2019
## Mean :0.8682 Mean :15.65 Mean : 6.817 Mean :2044
## 3rd Qu.:1.0000 3rd Qu.:23.00 3rd Qu.:10.000 3rd Qu.:2019
## Max. :8.0000 Max. :98.00 Max. :98.000 Max. :9998
## NA's :26292 NA's :26292 NA's :26292
## h51 h51d h51m h51y
## Min. :0.00 Min. : 1.00 Min. : 1.000 Min. :2017
## 1st Qu.:1.00 1st Qu.: 7.00 1st Qu.: 3.000 1st Qu.:2018
## Median :1.00 Median :15.00 Median : 6.000 Median :2019
## Mean :1.04 Mean :14.81 Mean : 6.554 Mean :2025
## 3rd Qu.:1.00 3rd Qu.:22.00 3rd Qu.:10.000 3rd Qu.:2019
## Max. :8.00 Max. :98.00 Max. :98.000 Max. :9998
## NA's :13336 NA's :13336 NA's :13336
## h52 h52d h52m h52y
## Min. :0.000 Min. : 1.00 Min. : 1.000 Min. :2017
## 1st Qu.:1.000 1st Qu.: 7.00 1st Qu.: 3.000 1st Qu.:2018
## Median :1.000 Median :15.00 Median : 6.000 Median :2019
## Mean :1.001 Mean :14.82 Mean : 6.571 Mean :2027
## 3rd Qu.:1.000 3rd Qu.:22.00 3rd Qu.: 9.000 3rd Qu.:2019
## Max. :8.000 Max. :98.00 Max. :98.000 Max. :9998
## NA's :14727 NA's :14727 NA's :14727
## h53 h53d h53m h53y
## Min. :0.0000 Min. : 1.00 Min. : 1.000 Min. :2017
## 1st Qu.:1.0000 1st Qu.: 7.00 1st Qu.: 4.000 1st Qu.:2018
## Median :1.0000 Median :15.00 Median : 7.000 Median :2019
## Mean :0.9368 Mean :14.88 Mean : 6.614 Mean :2027
## 3rd Qu.:1.0000 3rd Qu.:22.00 3rd Qu.: 9.000 3rd Qu.:2019
## Max. :8.0000 Max. :98.00 Max. :98.000 Max. :9998
## NA's :17226 NA's :17226 NA's :17226
## h54 h54d h54m h54y
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## h55 h55d h55m h55y
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## h56 h56d h56m h56y
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## h57 h57d h57m h57y
## Min. :0.0000 Min. : 1.00 Min. : 1.000 Min. :2017
## 1st Qu.:0.0000 1st Qu.: 7.00 1st Qu.: 4.000 1st Qu.:2019
## Median :0.0000 Median :15.00 Median : 7.000 Median :2019
## Mean :0.6198 Mean :15.22 Mean : 7.214 Mean :2062
## 3rd Qu.:1.0000 3rd Qu.:22.00 3rd Qu.:10.000 3rd Qu.:2020
## Max. :8.0000 Max. :98.00 Max. :98.000 Max. :9998
## NA's :37229 NA's :37229 NA's :37229
## h58 h58d h58m h58y
## Min. :0.0000 Min. : 1.00 Min. : 1.00 Min. :2017
## 1st Qu.:0.0000 1st Qu.: 7.00 1st Qu.: 4.00 1st Qu.:2019
## Median :0.0000 Median :15.00 Median : 7.00 Median :2019
## Mean :0.5819 Mean :15.16 Mean : 7.37 Mean :2065
## 3rd Qu.:1.0000 3rd Qu.:22.00 3rd Qu.:10.00 3rd Qu.:2020
## Max. :8.0000 Max. :98.00 Max. :98.00 Max. :9998
## NA's :38570 NA's :38570 NA's :38570
## h59 h59d h59m h59y
## Min. :0.0000 Min. : 1.00 Min. : 1.000 Min. :2017
## 1st Qu.:0.0000 1st Qu.: 8.00 1st Qu.: 4.000 1st Qu.:2019
## Median :0.0000 Median :15.00 Median : 7.000 Median :2019
## Mean :0.5363 Mean :15.36 Mean : 7.442 Mean :2073
## 3rd Qu.:1.0000 3rd Qu.:22.00 3rd Qu.:10.000 3rd Qu.:2020
## Max. :8.0000 Max. :98.00 Max. :98.000 Max. :9998
## NA's :40174 NA's :40174 NA's :40174
## h60 h60d h60m h60y
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## h61 h61d h61m h61y
## Min. :0.000 Min. : 1.00 Min. : 1.000 Min. :2017
## 1st Qu.:1.000 1st Qu.: 7.00 1st Qu.: 3.000 1st Qu.:2018
## Median :1.000 Median :15.00 Median : 6.000 Median :2019
## Mean :1.077 Mean :14.99 Mean : 6.753 Mean :2041
## 3rd Qu.:1.000 3rd Qu.:22.00 3rd Qu.:10.000 3rd Qu.:2019
## Max. :8.000 Max. :98.00 Max. :98.000 Max. :9998
## NA's :13154 NA's :13154 NA's :13154
## h62 h62d h62m h62y
## Min. :0.000 Min. : 1 Min. : 1.000 Min. :2017
## 1st Qu.:1.000 1st Qu.: 7 1st Qu.: 3.000 1st Qu.:2018
## Median :1.000 Median :15 Median : 6.000 Median :2019
## Mean :1.035 Mean :15 Mean : 6.765 Mean :2043
## 3rd Qu.:1.000 3rd Qu.:22 3rd Qu.:10.000 3rd Qu.:2019
## Max. :8.000 Max. :98 Max. :98.000 Max. :9998
## NA's :14581 NA's :14581 NA's :14581
## h63 h63d h63m h63y
## Min. :0.0000 Min. : 1.00 Min. : 1.000 Min. :2017
## 1st Qu.:1.0000 1st Qu.: 7.00 1st Qu.: 4.000 1st Qu.:2018
## Median :1.0000 Median :15.00 Median : 7.000 Median :2019
## Mean :0.9745 Mean :15.07 Mean : 6.825 Mean :2045
## 3rd Qu.:1.0000 3rd Qu.:22.00 3rd Qu.: 9.000 3rd Qu.:2019
## Max. :8.0000 Max. :98.00 Max. :98.000 Max. :9998
## NA's :17049 NA's :17049 NA's :17049
## h64 h64d h64m h64y
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## h65 h65d h65m h65y
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## h66 h66d h66m h66y
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## h80a h80b h80c h80d
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## h80e h80f h80g hidxa
## Min. : NA Min. : NA Min. : NA Min. :1.000
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.:1.000
## Median : NA Median : NA Median : NA Median :1.000
## Mean :NaN Mean :NaN Mean :NaN Mean :1.003
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:1.000
## Max. : NA Max. : NA Max. : NA Max. :3.000
## NA's :62135 NA's :62135 NA's :62135
## h11 h11b h12a h12b
## Min. :0.0000 Min. :0.000 Min. :0.00 Min. :0.000
## 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.00 1st Qu.:0.000
## Median :0.0000 Median :0.000 Median :0.00 Median :0.000
## Mean :0.2133 Mean :0.088 Mean :0.08 Mean :0.002
## 3rd Qu.:0.0000 3rd Qu.:0.000 3rd Qu.:0.00 3rd Qu.:0.000
## Max. :8.0000 Max. :8.000 Max. :1.00 Max. :1.000
## NA's :55772 NA's :55772 NA's :55772
## h12c h12d h12e h12f
## Min. :0.00 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.00 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.00 Median :0.000 Median :0.000 Median :0.000
## Mean :0.02 Mean :0.004 Mean :0.083 Mean :0.053
## 3rd Qu.:0.00 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.00 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :55772 NA's :55772 NA's :55772 NA's :55772
## h12g h12h h12i h12j
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.024 Mean :0.004 Mean :0.004 Mean :0.152
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :55772 NA's :55772 NA's :55772 NA's :55772
## h12k h12l h12m h12n
## Min. :0.00 Min. :0.00 Min. :0.000 Min. :0.000
## 1st Qu.:0.00 1st Qu.:0.00 1st Qu.:0.000 1st Qu.:0.000
## Median :0.00 Median :0.00 Median :0.000 Median :0.000
## Mean :0.04 Mean :0.28 Mean :0.009 Mean :0.001
## 3rd Qu.:0.00 3rd Qu.:1.00 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.00 Max. :1.00 Max. :1.000 Max. :1.000
## NA's :55772 NA's :55772 NA's :55772 NA's :55772
## h12o h12p h12q h12r
## Min. : NA Min. : NA Min. : NA Min. :0.000
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.:0.000
## Median : NA Median : NA Median : NA Median :0.000
## Mean :NaN Mean :NaN Mean :NaN Mean :0.012
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:0.000
## Max. : NA Max. : NA Max. : NA Max. :1.000
## NA's :62135 NA's :62135 NA's :62135 NA's :55772
## h12s h12t h12u h12v
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.003 Mean :0.003 Mean :0.004 Mean :0.002
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :55772 NA's :55772 NA's :55772 NA's :55772
## h12w h12x h12y h12z
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :1.000
## Mean :0.017 Mean :0.014 Mean :0.213 Mean :0.734
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:1.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :55772 NA's :55772 NA's :55772 NA's :55772
## h13 h13b h14 h15
## Min. :0.000 Min. : NA Min. :0.00 Min. :0.000
## 1st Qu.:0.000 1st Qu.: NA 1st Qu.:0.00 1st Qu.:0.000
## Median :2.000 Median : NA Median :0.00 Median :0.000
## Mean :1.265 Mean :NaN Mean :0.67 Mean :0.208
## 3rd Qu.:2.000 3rd Qu.: NA 3rd Qu.:2.00 3rd Qu.:0.000
## Max. :8.000 Max. : NA Max. :8.00 Max. :8.000
## NA's :55772 NA's :62135 NA's :55772 NA's :55772
## h15a h15b h15c h15d
## Min. :0.0 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.0 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.0 Median :0.000 Median :0.000 Median :0.000
## Mean :0.1 Mean :0.081 Mean :0.059 Mean :0.074
## 3rd Qu.:0.0 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :8.0 Max. :8.000 Max. :8.000 Max. :8.000
## NA's :55772 NA's :55772 NA's :55772 NA's :55772
## h15e h15f h15g h15h
## Min. :0.000 Min. :0.000 Min. :0.00 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.00 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.00 Median :0.000
## Mean :0.547 Mean :0.076 Mean :0.12 Mean :0.059
## 3rd Qu.:1.000 3rd Qu.:0.000 3rd Qu.:0.00 3rd Qu.:0.000
## Max. :8.000 Max. :8.000 Max. :8.00 Max. :8.000
## NA's :55772 NA's :55772 NA's :55772 NA's :55772
## h15i h15j h15k h15l
## Min. :0.000 Min. : NA Min. : NA Min. : NA
## 1st Qu.:0.000 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median :0.000 Median : NA Median : NA Median : NA
## Mean :0.066 Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.:0.000 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. :8.000 Max. : NA Max. : NA Max. : NA
## NA's :55772 NA's :62135 NA's :62135 NA's :62135
## h15m h20 h21a h21
## Min. : NA Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.: NA 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:1.000
## Median : NA Median :0.000 Median :1.000 Median :1.000
## Mean :NaN Mean :0.118 Mean :0.674 Mean :0.919
## 3rd Qu.: NA 3rd Qu.:0.000 3rd Qu.:1.000 3rd Qu.:1.000
## Max. : NA Max. :8.000 Max. :8.000 Max. :1.000
## NA's :62135 NA's :55772 NA's :55772 NA's :55775
## h22 h31 h31b h31c
## Min. :0.0000 Min. :0.00 Min. :0.00000 Min. :1.000
## 1st Qu.:0.0000 1st Qu.:0.00 1st Qu.:0.00000 1st Qu.:2.000
## Median :0.0000 Median :0.00 Median :0.00000 Median :2.000
## Mean :0.1644 Mean :0.32 Mean :0.08717 Mean :1.998
## 3rd Qu.:0.0000 3rd Qu.:0.00 3rd Qu.:0.00000 3rd Qu.:2.000
## Max. :8.0000 Max. :8.00 Max. :8.00000 Max. :8.000
## NA's :57071
## h31d h31e h32a h32b
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:0.000 1st Qu.:0.000
## Median :3.000 Median :3.000 Median :0.000 Median :0.000
## Mean :3.101 Mean :2.997 Mean :0.068 Mean :0.001
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :8.000 Max. :8.000 Max. :1.000 Max. :1.000
## NA's :52237 NA's :52237 NA's :50251 NA's :50251
## h32c h32d h32e h32f
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.015 Mean :0.005 Mean :0.069 Mean :0.043
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :50251 NA's :50251 NA's :50251 NA's :50251
## h32g h32h h32i h32j
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.018 Mean :0.002 Mean :0.003 Mean :0.127
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :50251 NA's :50251 NA's :50251 NA's :50251
## h32k h32l h32m h32n
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.033 Mean :0.252 Mean :0.007 Mean :0.002
## 3rd Qu.:0.000 3rd Qu.:1.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :50251 NA's :50251 NA's :50251 NA's :50251
## h32o h32p h32q h32r
## Min. : NA Min. : NA Min. : NA Min. :0.000
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.:0.000
## Median : NA Median : NA Median : NA Median :0.000
## Mean :NaN Mean :NaN Mean :NaN Mean :0.012
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:0.000
## Max. : NA Max. : NA Max. : NA Max. :1.000
## NA's :62135 NA's :62135 NA's :62135 NA's :50251
## h32s h32t h32u h32v
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.004 Mean :0.002 Mean :0.002 Mean :0.003
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :50251 NA's :50251 NA's :50251 NA's :50251
## h32w h32x h32y h32z
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :1.000
## Mean :0.001 Mean :0.012 Mean :0.195 Mean :0.617
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:1.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :50251 NA's :50251 NA's :52237 NA's :50251
## h34 h37a h37b h37c
## Min. :0.0000 Min. : NA Min. : NA Min. : NA
## 1st Qu.:0.0000 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median :1.0000 Median : NA Median : NA Median : NA
## Mean :0.7323 Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.:1.0000 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. :8.0000 Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135
## h37d h37da h37e h37aa
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## h37ab h37f h37g h37h
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## h37i h37j h37k h37l
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## h37m h37n h37o h37p
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## h37x h37y h37z h38
## Min. : NA Min. : NA Min. : NA Min. :0.000
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.:2.000
## Median : NA Median : NA Median : NA Median :3.000
## Mean :NaN Mean :NaN Mean :NaN Mean :3.121
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:4.000
## Max. : NA Max. : NA Max. : NA Max. :8.000
## NA's :62135 NA's :62135 NA's :62135 NA's :55772
## h39 h42 h43 h44a
## Min. :0.000 Min. :0.0000 Min. :0.0000 Min. :11.00
## 1st Qu.:2.000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:16.00
## Median :3.000 Median :0.0000 Median :0.0000 Median :21.00
## Mean :2.968 Mean :0.4304 Mean :0.4517 Mean :21.36
## 3rd Qu.:4.000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:23.00
## Max. :8.000 Max. :8.0000 Max. :8.0000 Max. :96.00
## NA's :55772 NA's :57127
## h44b h44c h45 h46a
## Min. : 0.000 Min. : NA Min. : NA Min. :11.00
## 1st Qu.: 0.000 1st Qu.: NA 1st Qu.: NA 1st Qu.:16.00
## Median : 1.000 Median : NA Median : NA Median :21.00
## Mean : 1.369 Mean :NaN Mean :NaN Mean :21.44
## 3rd Qu.: 2.000 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:23.00
## Max. :98.000 Max. : NA Max. : NA Max. :96.00
## NA's :57127 NA's :62135 NA's :62135 NA's :54172
## h46b h47 hwidx age_child_months
## Min. : 0.000 Min. :0.000 Min. :1.000 Min. : 6.0
## 1st Qu.: 0.000 1st Qu.:0.000 1st Qu.:1.000 1st Qu.:10.0
## Median : 1.000 Median :0.000 Median :1.000 Median :14.0
## Mean : 1.361 Mean :0.149 Mean :1.003 Mean :14.2
## 3rd Qu.: 2.000 3rd Qu.:0.000 3rd Qu.:1.000 3rd Qu.:18.0
## Max. :98.000 Max. :8.000 Max. :3.000 Max. :23.0
## NA's :54172 NA's :52237
## hw2 hw3 hw4 hw5
## Min. : 5.0 Min. : 200.0 Min. : 0 Min. :-600.0
## 1st Qu.: 75.0 1st Qu.: 696.0 1st Qu.: 128 1st Qu.:-223.0
## Median : 85.0 Median : 742.0 Median :1261 Median :-114.0
## Mean : 319.1 Mean : 976.7 Mean :3087 Mean : 733.2
## 3rd Qu.: 97.0 3rd Qu.: 793.0 3rd Qu.:5512 3rd Qu.: 13.0
## Max. :9996.0 Max. :9996.0 Max. :9998 Max. :9998.0
## NA's :832 NA's :933 NA's :2507 NA's :2507
## hw6 hw7 hw8 hw9 hw10
## Min. : 7660 Min. : 0 Min. :-598.0 Min. : 3494 Min. : 0
## 1st Qu.: 9165 1st Qu.: 121 1st Qu.:-225.0 1st Qu.: 7608 1st Qu.: 423
## Median : 9572 Median : 707 Median :-147.0 Median : 8432 Median :1981
## Mean :17204 Mean :2345 Mean : 710.4 Mean :16174 Mean :3449
## 3rd Qu.:10049 3rd Qu.:3183 3rd Qu.: -47.0 3rd Qu.: 9493 3rd Qu.:6068
## Max. :99998 Max. :9998 Max. :9998.0 Max. :99998 Max. :9998
## NA's :2507 NA's :2507 NA's :2507 NA's :2507 NA's :2491
## hw11 hw12 hw13 hw15
## Min. :-400.0 Min. : 5584 Min. :0.0000 Min. :0.000
## 1st Qu.:-173.0 1st Qu.: 8511 1st Qu.:0.0000 1st Qu.:1.000
## Median : -85.0 Median : 9261 Median :0.0000 Median :1.000
## Mean : 766.6 Mean :16962 Mean :0.1862 Mean :1.058
## 3rd Qu.: 27.0 3rd Qu.:10257 3rd Qu.:0.0000 3rd Qu.:1.000
## Max. :9998.0 Max. :99998 Max. :6.0000 Max. :2.000
## NA's :2491 NA's :2491 NA's :38 NA's :131
## hw16 hw17 hw18 hw19
## Min. : 1.00 Min. : 1.00 Min. : 1.000 Min. :2019
## 1st Qu.: 8.00 1st Qu.: 8.00 1st Qu.: 2.000 1st Qu.:2019
## Median :15.00 Median :16.00 Median : 7.000 Median :2020
## Mean :15.18 Mean :15.71 Mean : 5.986 Mean :2020
## 3rd Qu.:23.00 3rd Qu.:23.00 3rd Qu.: 9.000 3rd Qu.:2021
## Max. :31.00 Max. :31.00 Max. :12.000 Max. :2021
##
## hw51 hw52 hw53 hw55
## Min. : 0.000 Min. :1.000 Min. : 20.0 Min. :0.0000
## 1st Qu.: 2.000 1st Qu.:1.000 1st Qu.: 90.0 1st Qu.:0.0000
## Median : 2.000 Median :1.000 Median :100.0 Median :0.0000
## Mean : 3.021 Mean :1.906 Mean :141.1 Mean :0.1907
## 3rd Qu.: 4.000 3rd Qu.:1.000 3rd Qu.:110.0 3rd Qu.:0.0000
## Max. :30.000 Max. :7.000 Max. :996.0 Max. :6.0000
## NA's :2356 NA's :2424 NA's :2398 NA's :2453
## hw56 anemia hw58 stunting
## Min. : 12.00 Min. :1.000 Min. : NA Min. :-600.0
## 1st Qu.: 89.00 1st Qu.:2.000 1st Qu.: NA 1st Qu.:-244.0
## Median : 99.00 Median :2.000 Median : NA Median :-124.0
## Mean : 98.31 Mean :2.667 Mean :NaN Mean : 249.9
## 3rd Qu.:108.00 3rd Qu.:3.000 3rd Qu.: NA 3rd Qu.: 10.0
## Max. :997.00 Max. :4.000 Max. : NA Max. :9998.0
## NA's :5228 NA's :5239 NA's :62135 NA's :2454
## hw71 wasting overweight idxml
## Min. :-600.00 Min. :-500 Min. :-500 Min. :1.000
## 1st Qu.:-214.00 1st Qu.:-168 1st Qu.:-159 1st Qu.:1.000
## Median :-126.00 Median : -66 Median : -50 Median :1.000
## Mean : -47.33 Mean : 460 Mean : 434 Mean :1.003
## 3rd Qu.: -38.00 3rd Qu.: 43 3rd Qu.: 62 3rd Qu.:1.000
## Max. :9998.00 Max. :9998 Max. :9998 Max. :3.000
## NA's :2289 NA's :1832 NA's :2500
## ml0 ml1 ml2 ml11
## Min. :0.0000 Min. : NA Min. : NA Min. : NA
## 1st Qu.:0.0000 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median :0.0000 Median : NA Median : NA Median : NA
## Mean :0.7321 Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.:1.0000 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. :3.0000 Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135
## ml12 ml13a ml13b ml13c
## Min. : NA Min. :0.000 Min. :0.000 Min. : NA
## 1st Qu.: NA 1st Qu.:0.000 1st Qu.:0.000 1st Qu.: NA
## Median : NA Median :0.000 Median :0.000 Median : NA
## Mean :NaN Mean :0.055 Mean :0.062 Mean :NaN
## 3rd Qu.: NA 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.: NA
## Max. : NA Max. :1.000 Max. :1.000 Max. : NA
## NA's :62135 NA's :50251 NA's :50251 NA's :62135
## ml13d ml13da ml13e ml13aa
## Min. :0.000 Min. : NA Min. :0.000 Min. : NA
## 1st Qu.:0.000 1st Qu.: NA 1st Qu.:0.000 1st Qu.: NA
## Median :0.000 Median : NA Median :0.000 Median : NA
## Mean :0.012 Mean :NaN Mean :0.012 Mean :NaN
## 3rd Qu.:0.000 3rd Qu.: NA 3rd Qu.:0.000 3rd Qu.: NA
## Max. :1.000 Max. : NA Max. :1.000 Max. : NA
## NA's :50251 NA's :62135 NA's :50251 NA's :62135
## ml13ab ml13f ml13g ml13h
## Min. : NA Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.: NA 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median : NA Median :0.000 Median :0.000 Median :0.000
## Mean :NaN Mean :0.042 Mean :0.019 Mean :0.017
## 3rd Qu.: NA 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. : NA Max. :1.000 Max. :1.000 Max. :1.000
## NA's :62135 NA's :50251 NA's :50251 NA's :50251
## ml13i ml13j ml13k ml13l
## Min. : NA Min. : NA Min. :0.000 Min. :0.000
## 1st Qu.: NA 1st Qu.: NA 1st Qu.:0.000 1st Qu.:0.000
## Median : NA Median : NA Median :0.000 Median :0.000
## Mean :NaN Mean :NaN Mean :0.016 Mean :0.008
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:0.000 3rd Qu.:0.000
## Max. : NA Max. : NA Max. :1.000 Max. :1.000
## NA's :62135 NA's :62135 NA's :50251 NA's :50251
## ml13m ml13n ml13o ml13p
## Min. :0.000 Min. :0.000 Min. : NA Min. : NA
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.: NA 1st Qu.: NA
## Median :0.000 Median :0.000 Median : NA Median : NA
## Mean :0.008 Mean :0.212 Mean :NaN Mean :NaN
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.: NA 3rd Qu.: NA
## Max. :1.000 Max. :1.000 Max. : NA Max. : NA
## NA's :50251 NA's :50251 NA's :62135 NA's :62135
## ml13x ml13y ml13z ml14a
## Min. :0.000 Min. :0.000 Min. :0.000 Min. : NA
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.: NA
## Median :0.000 Median :0.000 Median :0.000 Median : NA
## Mean :0.158 Mean :0.056 Mean :0.137 Mean :NaN
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.: NA
## Max. :1.000 Max. :1.000 Max. :1.000 Max. : NA
## NA's :50251 NA's :50251 NA's :50251 NA's :62135
## ml14b ml14y ml14z ml15a
## Min. : NA Min. : NA Min. : NA Min. :0.000
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.:0.000
## Median : NA Median : NA Median : NA Median :0.000
## Mean :NaN Mean :NaN Mean :NaN Mean :0.502
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:1.000
## Max. : NA Max. : NA Max. : NA Max. :8.000
## NA's :62135 NA's :62135 NA's :62135 NA's :61475
## ml15b ml15c ml16a ml16b
## Min. : NA Min. : NA Min. :0.000 Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.:0.000 1st Qu.: NA
## Median : NA Median : NA Median :0.000 Median : NA
## Mean :NaN Mean :NaN Mean :0.435 Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:1.000 3rd Qu.: NA
## Max. : NA Max. : NA Max. :8.000 Max. : NA
## NA's :62135 NA's :62135 NA's :61390 NA's :62135
## ml16c ml17a ml17b ml17c
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## ml18a ml18b ml18c ml19a
## Min. :0.000 Min. : NA Min. : NA Min. : NA
## 1st Qu.:0.000 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median :0.000 Median : NA Median : NA Median : NA
## Mean :0.489 Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.:1.000 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. :8.000 Max. : NA Max. : NA Max. : NA
## NA's :61994 NA's :62135 NA's :62135 NA's :62135
## ml19b ml19c ml19d ml19e
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## ml19f ml19x ml19y ml19z
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## ml20a ml20b ml20c ml21a
## Min. :0.000 Min. : NA Min. : NA Min. :0.00
## 1st Qu.:0.000 1st Qu.: NA 1st Qu.: NA 1st Qu.:0.00
## Median :0.000 Median : NA Median : NA Median :0.00
## Mean :0.938 Mean :NaN Mean :NaN Mean :0.48
## 3rd Qu.:1.000 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:1.00
## Max. :8.000 Max. : NA Max. : NA Max. :8.00
## NA's :61989 NA's :62135 NA's :62135 NA's :61631
## ml21b ml21c ml22a ml22b
## Min. : NA Min. : NA Min. :0.000 Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.:0.000 1st Qu.: NA
## Median : NA Median : NA Median :1.000 Median : NA
## Mean :NaN Mean :NaN Mean :0.665 Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:1.000 3rd Qu.: NA
## Max. : NA Max. : NA Max. :8.000 Max. : NA
## NA's :62135 NA's :62135 NA's :61905 NA's :62135
## ml22c ml23a ml23b ml23c
## Min. : NA Min. :0.000 Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.:0.000 1st Qu.: NA 1st Qu.: NA
## Median : NA Median :1.000 Median : NA Median : NA
## Mean :NaN Mean :0.683 Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.:1.000 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. :3.000 Max. : NA Max. : NA
## NA's :62135 NA's :61930 NA's :62135 NA's :62135
## ml24c ml25a ssmod sdist
## Min. : NA Min. : NA Min. :0.0000 Min. : 1.0
## 1st Qu.: NA 1st Qu.: NA 1st Qu.:0.0000 1st Qu.:186.0
## Median : NA Median : NA Median :0.0000 Median :351.0
## Mean :NaN Mean :NaN Mean :0.1517 Mean :401.6
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.:0.0000 3rd Qu.:568.0
## Max. : NA Max. : NA Max. :1.0000 Max. :932.0
## NA's :62135 NA's :62135
## sphase sweight sdweight s113
## Min. :1.000 Min. : 2724 Min. : 0 Min. :0.00000
## 1st Qu.:1.000 1st Qu.: 581614 1st Qu.: 0 1st Qu.:0.00000
## Median :2.000 Median : 843542 Median : 0 Median :0.00000
## Mean :1.528 Mean : 984469 Mean : 108788 Mean :0.07217
## 3rd Qu.:2.000 3rd Qu.: 1210100 3rd Qu.: 0 3rd Qu.:0.00000
## Max. :2.000 Max. :18827020 Max. :16172373 Max. :1.00000
##
## s116 s234 s235 s236
## Min. :1.000 Min. :1.000 Min. :0.000 Min. :0.000
## 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:2.000 1st Qu.:0.000
## Median :3.000 Median :1.000 Median :3.000 Median :0.000
## Mean :2.566 Mean :1.393 Mean :3.227 Mean :0.466
## 3rd Qu.:3.000 3rd Qu.:2.000 3rd Qu.:4.000 3rd Qu.:1.000
## Max. :8.000 Max. :3.000 Max. :9.000 Max. :1.000
## NA's :2852 NA's :55962 NA's :55962 NA's :55962
## s238 s239 s240 s241
## Min. :11.00 Min. :1.000 Min. :1.000 Min. : 1.00
## 1st Qu.:41.00 1st Qu.:1.000 1st Qu.:1.000 1st Qu.: 1.00
## Median :41.00 Median :1.000 Median :1.000 Median : 3.00
## Mean :38.48 Mean :2.655 Mean :1.661 Mean :11.59
## 3rd Qu.:51.00 3rd Qu.:6.000 3rd Qu.:2.000 3rd Qu.: 8.00
## Max. :96.00 Max. :7.000 Max. :9.000 Max. :96.00
## NA's :60847 NA's :60847 NA's :60847 NA's :60847
## s242 s243 s244 s244a
## Min. :0.000 Min. :0.000 Min. :11.00 Min. : NA
## 1st Qu.:0.000 1st Qu.:1.000 1st Qu.:13.00 1st Qu.: NA
## Median :0.000 Median :1.000 Median :41.00 Median : NA
## Mean :0.127 Mean :0.847 Mean :31.38 Mean :NaN
## 3rd Qu.:0.000 3rd Qu.:1.000 3rd Qu.:41.00 3rd Qu.: NA
## Max. :1.000 Max. :1.000 Max. :61.00 Max. : NA
## NA's :60847 NA's :61972 NA's :61997 NA's :62135
## s244b s245a s245b s245c
## Min. : NA Min. :0.0 Min. :0.00 Min. :0.00
## 1st Qu.: NA 1st Qu.:0.0 1st Qu.:0.00 1st Qu.:0.00
## Median : NA Median :0.0 Median :0.00 Median :0.00
## Mean :NaN Mean :0.2 Mean :0.04 Mean :0.04
## 3rd Qu.: NA 3rd Qu.:0.0 3rd Qu.:0.00 3rd Qu.:0.00
## Max. : NA Max. :1.0 Max. :1.00 Max. :1.00
## NA's :62135 NA's :62110 NA's :62110 NA's :62110
## s245d s245e s245f s245g
## Min. :0 Min. :0.00 Min. :0.00 Min. :0.00
## 1st Qu.:0 1st Qu.:0.00 1st Qu.:0.00 1st Qu.:0.00
## Median :0 Median :0.00 Median :0.00 Median :0.00
## Mean :0 Mean :0.24 Mean :0.28 Mean :0.04
## 3rd Qu.:0 3rd Qu.:0.00 3rd Qu.:1.00 3rd Qu.:0.00
## Max. :0 Max. :1.00 Max. :1.00 Max. :1.00
## NA's :62110 NA's :62110 NA's :62110 NA's :62110
## s245h s245x s253 s254
## Min. :0.00 Min. :0.00 Min. :0.000 Min. : 0.00
## 1st Qu.:0.00 1st Qu.:0.00 1st Qu.:0.000 1st Qu.: 0.00
## Median :0.00 Median :0.00 Median :0.000 Median : 1.00
## Mean :0.28 Mean :0.08 Mean :0.032 Mean : 1.75
## 3rd Qu.:1.00 3rd Qu.:0.00 3rd Qu.:0.000 3rd Qu.: 1.00
## Max. :1.00 Max. :1.00 Max. :8.000 Max. :98.00
## NA's :62110 NA's :62110 NA's :54148 NA's :61983
## s255 s256a s256b s256c
## Min. :11.00 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:11.00 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :14.00 Median :0.000 Median :0.000 Median :0.000
## Mean :21.34 Mean :0.421 Mean :0.151 Mean :0.118
## 3rd Qu.:31.00 3rd Qu.:1.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :98.00 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :61983 NA's :61983 NA's :61983 NA's :61983
## s256d s256e s256f s256g
## Min. :0.00 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.00 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.00 Median :0.000 Median :0.000 Median :0.000
## Mean :0.02 Mean :0.059 Mean :0.033 Mean :0.059
## 3rd Qu.:0.00 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.00 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :61983 NA's :61983 NA's :61983 NA's :61983
## s256x s259 s260a s260b
## Min. :0.000 Min. : 7.00 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:13.00 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :13.00 Median :1.000 Median :0.000
## Mean :0.224 Mean :13.96 Mean :0.601 Mean :0.135
## 3rd Qu.:0.000 3rd Qu.:14.00 3rd Qu.:1.000 3rd Qu.:0.000
## Max. :1.000 Max. :98.00 Max. :1.000 Max. :1.000
## NA's :61983 NA's :36997 NA's :37091 NA's :37091
## s260c s260d s260e s260f
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :1.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.547 Mean :0.015 Mean :0.002 Mean :0.003
## 3rd Qu.:1.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :37091 NA's :37091 NA's :37091 NA's :37091
## s260x s264 s265 s301
## Min. :0.000 Min. :0.0000 Min. :0.0000 Min. :0.00
## 1st Qu.:0.000 1st Qu.:1.0000 1st Qu.:1.0000 1st Qu.:1.00
## Median :0.000 Median :1.0000 Median :1.0000 Median :1.00
## Mean :0.003 Mean :0.9547 Mean :0.9945 Mean :1.03
## 3rd Qu.:0.000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.00
## Max. :1.000 Max. :1.0000 Max. :3.0000 Max. :6.00
## NA's :37091 NA's :9916 NA's :12283
## s303 s308m s308y s308c
## Min. :100.0 Min. : 1.000 Min. :1975 Min. : 968
## 1st Qu.:101.0 1st Qu.: 3.000 1st Qu.:2011 1st Qu.:1337
## Median :103.0 Median : 5.000 Median :2014 Median :1375
## Mean :121.9 Mean : 6.204 Mean :2049 Mean :1465
## 3rd Qu.:107.0 3rd Qu.: 6.000 3rd Qu.:2017 3rd Qu.:1407
## Max. :220.0 Max. :98.000 Max. :9998 Max. :9998
## NA's :54861 NA's :83 NA's :83 NA's :83
## mother_age_marriage s310 s311 s314c
## Min. : 2.00 Min. :0.0000 Min. :1.000 Min. : 0.00
## 1st Qu.:15.00 1st Qu.:0.0000 1st Qu.:1.000 1st Qu.:17.00
## Median :17.00 Median :0.0000 Median :2.000 Median :19.00
## Mean :22.86 Mean :0.1217 Mean :3.409 Mean :19.63
## 3rd Qu.:19.00 3rd Qu.:0.0000 3rd Qu.:5.000 3rd Qu.:22.00
## Max. :98.00 Max. :1.0000 Max. :7.000 Max. :45.00
## NA's :61855 NA's :83 NA's :54585 NA's :83
## s315 s321a s321b s321c
## Min. :0.000 Min. :0.000 Min. :0.0000000 Min. :0.00000
## 1st Qu.:1.000 1st Qu.:0.000 1st Qu.:0.0000000 1st Qu.:0.00000
## Median :1.000 Median :0.000 Median :0.0000000 Median :0.00000
## Mean :0.912 Mean :0.113 Mean :0.0009498 Mean :0.07104
## 3rd Qu.:1.000 3rd Qu.:0.000 3rd Qu.:0.0000000 3rd Qu.:0.00000
## Max. :8.000 Max. :1.000 Max. :1.0000000 Max. :1.00000
## NA's :62033 NA's :17 NA's :17 NA's :17
## s321d s321e s321f s321g
## Min. :0.00000 Min. :0.0000 Min. :0.0000 Min. :0.000000
## 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.000000
## Median :0.00000 Median :0.0000 Median :0.0000 Median :0.000000
## Mean :0.02296 Mean :0.1479 Mean :0.2699 Mean :0.001401
## 3rd Qu.:0.00000 3rd Qu.:0.0000 3rd Qu.:1.0000 3rd Qu.:0.000000
## Max. :1.00000 Max. :1.0000 Max. :1.0000 Max. :1.000000
## NA's :17 NA's :17 NA's :17 NA's :17
## s321h s321i s321j s321k
## Min. :0.000000 Min. :0.0000000 Min. :0.00e+00 Min. :0.00000
## 1st Qu.:0.000000 1st Qu.:0.0000000 1st Qu.:0.00e+00 1st Qu.:0.00000
## Median :0.000000 Median :0.0000000 Median :0.00e+00 Median :0.00000
## Mean :0.004846 Mean :0.0001288 Mean :9.66e-05 Mean :0.01723
## 3rd Qu.:0.000000 3rd Qu.:0.0000000 3rd Qu.:0.00e+00 3rd Qu.:0.00000
## Max. :1.000000 Max. :1.0000000 Max. :1.00e+00 Max. :1.00000
## NA's :17 NA's :17 NA's :17 NA's :17
## s321l s321m s321n s321x
## Min. :0.00000 Min. :0.0000 Min. :0.0000 Min. :0.0000000
## 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000000
## Median :0.00000 Median :0.0000 Median :0.0000 Median :0.0000000
## Mean :0.07753 Mean :0.2288 Mean :0.2245 Mean :0.0005634
## 3rd Qu.:0.00000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000000
## Max. :1.00000 Max. :1.0000 Max. :1.0000 Max. :1.0000000
## NA's :17 NA's :17 NA's :17 NA's :17
## s321y s323 s324a s324b
## Min. :0.000000 Min. : 0.000 Min. :0.000 Min. :0
## 1st Qu.:0.000000 1st Qu.: 0.000 1st Qu.:0.000 1st Qu.:0
## Median :0.000000 Median : 1.000 Median :0.000 Median :0
## Mean :0.002286 Mean : 2.621 Mean :0.076 Mean :0
## 3rd Qu.:0.000000 3rd Qu.: 3.000 3rd Qu.:0.000 3rd Qu.:0
## Max. :1.000000 Max. :20.000 Max. :1.000 Max. :0
## NA's :17 NA's :61834 NA's :61924 NA's :61924
## s324c s324d s324e s324f
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.009 Mean :0.009 Mean :0.109 Mean :0.043
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :61924 NA's :61924 NA's :61924 NA's :61924
## s324g s324h s324i s324j
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.057 Mean :0.009 Mean :0.076 Mean :0.152
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :61924 NA's :61924 NA's :61924 NA's :61924
## s324k s324l s324m s324n
## Min. :0 Min. :0 Min. :0 Min. :0.000
## 1st Qu.:0 1st Qu.:0 1st Qu.:0 1st Qu.:0.000
## Median :0 Median :0 Median :0 Median :0.000
## Mean :0 Mean :0 Mean :0 Mean :0.047
## 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0.000
## Max. :0 Max. :0 Max. :0 Max. :1.000
## NA's :61924 NA's :61924 NA's :61924 NA's :61924
## s324o s324p s324q s324r
## Min. :0.000 Min. :0.000 Min. :0 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0 Median :0.000
## Mean :0.137 Mean :0.009 Mean :0 Mean :0.005
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :0 Max. :1.000
## NA's :61924 NA's :61924 NA's :61924 NA's :61924
## s324s s324t s324u s324v
## Min. :0.000 Min. :0 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0 Median :0.000 Median :0.000
## Mean :0.436 Mean :0 Mean :0.009 Mean :0.104
## 3rd Qu.:1.000 3rd Qu.:0 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.000 Max. :0 Max. :1.000 Max. :1.000
## NA's :61924 NA's :61924 NA's :61924 NA's :61924
## s324w s324x s324aa s324ab
## Min. :0.000 Min. :0.000 Min. :0 Min. :0
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0 1st Qu.:0
## Median :0.000 Median :0.000 Median :0 Median :0
## Mean :0.014 Mean :0.019 Mean :0 Mean :0
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0 3rd Qu.:0
## Max. :1.000 Max. :1.000 Max. :0 Max. :0
## NA's :61924 NA's :61924 NA's :61924 NA's :61924
## s324ac s324ad s324ae s324af
## Min. :0 Min. :0 Min. :0 Min. :0
## 1st Qu.:0 1st Qu.:0 1st Qu.:0 1st Qu.:0
## Median :0 Median :0 Median :0 Median :0
## Mean :0 Mean :0 Mean :0 Mean :0
## 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0
## Max. :0 Max. :0 Max. :0 Max. :0
## NA's :61924 NA's :61924 NA's :61924 NA's :61924
## s324ag s324ba s324bb s324bc
## Min. :0 Min. :0 Min. :0 Min. :0
## 1st Qu.:0 1st Qu.:0 1st Qu.:0 1st Qu.:0
## Median :0 Median :0 Median :0 Median :0
## Mean :0 Mean :0 Mean :0 Mean :0
## 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0
## Max. :0 Max. :0 Max. :0 Max. :0
## NA's :61924 NA's :61924 NA's :61924 NA's :61924
## s324bd s324be s324bf s324bg
## Min. :0 Min. :0 Min. :0 Min. :0
## 1st Qu.:0 1st Qu.:0 1st Qu.:0 1st Qu.:0
## Median :0 Median :0 Median :0 Median :0
## Mean :0 Mean :0 Mean :0 Mean :0
## 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0
## Max. :0 Max. :0 Max. :0 Max. :0
## NA's :61924 NA's :61924 NA's :61924 NA's :61924
## s329 s334 s335 s336
## Min. :0.000 Min. :1.000 Min. : 1 Min. :0.000
## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:50000 1st Qu.:0.000
## Median :1.000 Median :1.000 Median :99995 Median :0.000
## Mean :0.768 Mean :1.508 Mean :77580 Mean :0.473
## 3rd Qu.:1.000 3rd Qu.:2.000 3rd Qu.:99995 3rd Qu.:1.000
## Max. :1.000 Max. :4.000 Max. :99998 Max. :1.000
## NA's :25403 NA's :55117 NA's :55117 NA's :55117
## s337 s338 s340 s341
## Min. : 1 Min. :0.000 Min. :0.000 Min. : 1
## 1st Qu.: 700 1st Qu.:0.000 1st Qu.:0.000 1st Qu.: 300
## Median : 1400 Median :0.000 Median :0.000 Median : 700
## Mean : 3684 Mean :0.048 Mean :0.149 Mean :15009
## 3rd Qu.: 2000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.: 1500
## Max. :99998 Max. :1.000 Max. :1.000 Max. :99998
## NA's :58818 NA's :55117 NA's :59565 NA's :61751
## s342 s354a s354b s356
## Min. :0.00 Min. :12.00 Min. :44 Min. :0.000
## 1st Qu.:1.00 1st Qu.:12.00 1st Qu.:44 1st Qu.:0.000
## Median :1.00 Median :12.50 Median :44 Median :0.000
## Mean :0.87 Mean :13.17 Mean :44 Mean :0.499
## 3rd Qu.:1.00 3rd Qu.:13.75 3rd Qu.:44 3rd Qu.:1.000
## Max. :1.00 Max. :16.00 Max. :44 Max. :1.000
## NA's :61751 NA's :62129 NA's :62134 NA's :35335
## s358w s358x s358aa s358ab
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.042 Mean :0.008 Mean :0.001 Mean :0.001
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :35335 NA's :35335 NA's :35335 NA's :35335
## s358ac s358ad s358ae s358af
## Min. :0 Min. :0 Min. :0 Min. :0
## 1st Qu.:0 1st Qu.:0 1st Qu.:0 1st Qu.:0
## Median :0 Median :0 Median :0 Median :0
## Mean :0 Mean :0 Mean :0 Mean :0
## 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0
## Max. :1 Max. :1 Max. :1 Max. :1
## NA's :35335 NA's :35335 NA's :35335 NA's :35335
## s358ag s358ba s358bb s358bc
## Min. :0 Min. :0 Min. :0 Min. :0
## 1st Qu.:0 1st Qu.:0 1st Qu.:0 1st Qu.:0
## Median :0 Median :0 Median :0 Median :0
## Mean :0 Mean :0 Mean :0 Mean :0
## 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0
## Max. :0 Max. :1 Max. :1 Max. :1
## NA's :35335 NA's :35335 NA's :35335 NA's :35335
## s358bd s358be s358bf s358bg
## Min. :0 Min. :0 Min. :0 Min. :0
## 1st Qu.:0 1st Qu.:0 1st Qu.:0 1st Qu.:0
## Median :0 Median :0 Median :0 Median :0
## Mean :0 Mean :0 Mean :0 Mean :0
## 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0
## Max. :1 Max. :1 Max. :1 Max. :0
## NA's :35335 NA's :35335 NA's :35335 NA's :35335
## s359 s360a s360b s360c
## Min. :0.0000 Min. : 0.000 Min. : 0.000 Min. : 0.000
## 1st Qu.:0.0000 1st Qu.: 0.000 1st Qu.: 1.000 1st Qu.: 0.000
## Median :0.0000 Median : 1.000 Median : 1.000 Median : 1.000
## Mean :0.4472 Mean : 1.415 Mean : 2.223 Mean : 1.322
## 3rd Qu.:1.0000 3rd Qu.: 2.000 3rd Qu.: 3.000 3rd Qu.: 2.000
## Max. :1.0000 Max. :98.000 Max. :98.000 Max. :98.000
## NA's :34349 NA's :34349 NA's :34349
## s360d s361 s362a s362b
## Min. : 0.000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.: 0.000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median : 0.000 Median :1.0000 Median :0.0000 Median :0.0000
## Mean : 0.874 Mean :0.6171 Mean :0.3905 Mean :0.4842
## 3rd Qu.: 0.000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :98.000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## NA's :34349
## s362c s362x s363a s363b
## Min. :0.0000 Min. :0.000000 Min. : 0.000 Min. : 0.000
## 1st Qu.:0.0000 1st Qu.:0.000000 1st Qu.: 0.000 1st Qu.: 1.000
## Median :0.0000 Median :0.000000 Median : 1.000 Median : 2.000
## Mean :0.0184 Mean :0.004297 Mean : 2.051 Mean : 2.956
## 3rd Qu.:0.0000 3rd Qu.:0.000000 3rd Qu.: 2.000 3rd Qu.: 3.000
## Max. :1.0000 Max. :1.000000 Max. :98.000 Max. :98.000
## NA's :23794 NA's :23794
## s363c s363d s365a s365b
## Min. : 0.00 Min. : 0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.: 0.00 1st Qu.: 0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median : 0.00 Median : 0.0000 Median :0.0000 Median :0.0000
## Mean : 1.03 Mean : 0.9444 Mean :0.1231 Mean :0.4688
## 3rd Qu.: 1.00 3rd Qu.: 0.0000 3rd Qu.:0.0000 3rd Qu.:1.0000
## Max. :98.00 Max. :98.0000 Max. :1.0000 Max. :1.0000
## NA's :23794 NA's :23794
## s365c s365d s365e s365f
## Min. :0.00000 Min. :0.00000 Min. :0.00000 Min. :0.000000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.000000
## Median :0.00000 Median :0.00000 Median :0.00000 Median :0.000000
## Mean :0.05216 Mean :0.03871 Mean :0.00853 Mean :0.001867
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.000000
## Max. :1.00000 Max. :1.00000 Max. :1.00000 Max. :1.000000
##
## s365g s365h s365i s365j
## Min. :0.0000 Min. :0.00000 Min. :0.00000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.0000
## Median :0.0000 Median :0.00000 Median :0.00000 Median :0.0000
## Mean :0.0411 Mean :0.02227 Mean :0.08345 Mean :0.1218
## 3rd Qu.:0.0000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.00000 Max. :1.00000 Max. :1.0000
##
## s365k s365l s365m s365n
## Min. :0.00000 Min. :0.00000 Min. :0.0000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0.00000
## Median :0.00000 Median :0.00000 Median :0.0000 Median :0.00000
## Mean :0.01959 Mean :0.01041 Mean :0.1171 Mean :0.06531
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.0000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.00000 Max. :1.0000 Max. :1.00000
##
## s365o s365p s365q s365r
## Min. :0.00000 Min. :0.00000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.00000 Median :0.00000 Median :0.00000 Median :0.00000
## Mean :0.01693 Mean :0.01571 Mean :0.03404 Mean :0.01189
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.00000 Max. :1.00000 Max. :1.00000
##
## s365s s365x s366 s368
## Min. :0.000000 Min. :0.000000 Min. :1.000 Min. :0.0000
## 1st Qu.:0.000000 1st Qu.:0.000000 1st Qu.:1.000 1st Qu.:0.0000
## Median :0.000000 Median :0.000000 Median :3.000 Median :0.0000
## Mean :0.006003 Mean :0.006502 Mean :2.917 Mean :0.3362
## 3rd Qu.:0.000000 3rd Qu.:0.000000 3rd Qu.:4.000 3rd Qu.:1.0000
## Max. :1.000000 Max. :1.000000 Max. :6.000 Max. :1.0000
## NA's :20440 NA's :19827
## s369 s369a s369b s370a
## Min. :11.00 Min. :12.00 Min. :43.00 Min. :0.0000
## 1st Qu.:21.00 1st Qu.:12.00 1st Qu.:43.00 1st Qu.:0.0000
## Median :23.00 Median :12.00 Median :47.00 Median :0.0000
## Mean :26.52 Mean :13.13 Mean :45.91 Mean :0.0115
## 3rd Qu.:41.00 3rd Qu.:14.00 3rd Qu.:47.00 3rd Qu.:0.0000
## Max. :96.00 Max. :18.00 Max. :47.00 Max. :1.0000
## NA's :28082 NA's :62097 NA's :62102 NA's :19827
## s370b anc_visits s370d pnc_visits
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.0696 Mean :0.0109 Mean :0.0054 Mean :0.0047
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## NA's :19827 NA's :19827 NA's :19827 NA's :19827
## s370f s370g child_medical_treatment s370i
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.0025 Mean :0.0775 Mean :0.1733 Mean :0.0091
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## NA's :19827 NA's :19827 NA's :19827 NA's :19827
## s370j s370k s370l s370x
## Min. :0.0000 Min. :0.000 Min. :0e+00 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0e+00 1st Qu.:0.0000
## Median :0.0000 Median :0.000 Median :0e+00 Median :0.0000
## Mean :0.0207 Mean :0.051 Mean :5e-04 Mean :0.0012
## 3rd Qu.:0.0000 3rd Qu.:0.000 3rd Qu.:0e+00 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.000 Max. :1e+00 Max. :1.0000
## NA's :19827 NA's :19827 NA's :19827 NA's :19827
## s617d s617e s704 s707
## Min. :0.0000 Min. :0.0000 Min. :0.00000 Min. :100.0
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:203.0
## Median :1.0000 Median :0.0000 Median :0.00000 Median :303.0
## Mean :0.5635 Mean :0.3044 Mean :0.07827 Mean :436.9
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:0.00000 3rd Qu.:995.0
## Max. :1.0000 Max. :1.0000 Max. :1.00000 Max. :995.0
## NA's :62042
## s708 s709 s710 s711
## Min. :1.000 Min. : 0.000 Min. :100.0 Min. :0.00000
## 1st Qu.:3.000 1st Qu.: 1.000 1st Qu.:207.5 1st Qu.:0.00000
## Median :3.000 Median : 2.500 Median :304.0 Median :0.00000
## Mean :2.998 Mean : 6.806 Mean :375.2 Mean :0.05633
## 3rd Qu.:3.000 3rd Qu.: 5.000 3rd Qu.:320.0 3rd Qu.:0.00000
## Max. :3.000 Max. :80.000 Max. :995.0 Max. :1.00000
## NA's :62063 NA's :62063
## s712e s712f s713 s714
## Min. :0.0000 Min. :0.00000 Min. :1.000 Min. :100.0
## 1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:1.000 1st Qu.:303.0
## Median :0.0000 Median :0.00000 Median :1.000 Median :306.0
## Mean :0.0127 Mean :0.01997 Mean :1.281 Mean :338.7
## 3rd Qu.:0.0000 3rd Qu.:0.00000 3rd Qu.:1.000 3rd Qu.:312.0
## Max. :1.0000 Max. :1.00000 Max. :3.000 Max. :995.0
## NA's :58895 NA's :58895
## s716 s717 s718 s719
## Min. :0.0 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.0 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.0 Median :0.000 Median :1.000 Median :0.000
## Mean :0.3 Mean :0.237 Mean :0.555 Mean :0.483
## 3rd Qu.:1.0 3rd Qu.:0.000 3rd Qu.:1.000 3rd Qu.:1.000
## Max. :1.0 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :58541 NA's :58541 NA's :61283
## s720 s721 s722a s722b
## Min. :0.00000 Min. :1.000 Min. :0.000000 Min. :0.000000
## 1st Qu.:0.00000 1st Qu.:2.000 1st Qu.:0.000000 1st Qu.:0.000000
## Median :0.00000 Median :2.000 Median :0.000000 Median :0.000000
## Mean :0.01333 Mean :2.372 Mean :0.005295 Mean :0.003171
## 3rd Qu.:0.00000 3rd Qu.:3.000 3rd Qu.:0.000000 3rd Qu.:0.000000
## Max. :1.00000 Max. :3.000 Max. :1.000000 Max. :1.000000
## NA's :61307
## s722c s722d s722e s722x
## Min. :0.000000 Min. :0.000000 Min. :0.000000 Min. :0.00000
## 1st Qu.:0.000000 1st Qu.:0.000000 1st Qu.:0.000000 1st Qu.:0.00000
## Median :0.000000 Median :0.000000 Median :0.000000 Median :0.00000
## Mean :0.002816 Mean :0.001625 Mean :0.000338 Mean :0.00243
## 3rd Qu.:0.000000 3rd Qu.:0.000000 3rd Qu.:0.000000 3rd Qu.:0.00000
## Max. :1.000000 Max. :1.000000 Max. :1.000000 Max. :1.00000
##
## s723 s728a s728ab s728b
## Min. :101.0 Min. :0.00000 Min. :0.00 Min. :0.0000
## 1st Qu.:303.0 1st Qu.:0.00000 1st Qu.:0.00 1st Qu.:0.0000
## Median :308.0 Median :0.00000 Median :1.00 Median :0.0000
## Mean :445.1 Mean :0.07028 Mean :0.59 Mean :0.0717
## 3rd Qu.:320.0 3rd Qu.:0.00000 3rd Qu.:1.00 3rd Qu.:0.0000
## Max. :995.0 Max. :8.00000 Max. :1.00 Max. :8.0000
## NA's :61307 NA's :61640
## s728bb s728c s728cb s728d
## Min. :0.000 Min. :0.00000 Min. :0.000 Min. :0.00000
## 1st Qu.:0.000 1st Qu.:0.00000 1st Qu.:0.000 1st Qu.:0.00000
## Median :1.000 Median :0.00000 Median :1.000 Median :0.00000
## Mean :0.655 Mean :0.03241 Mean :0.656 Mean :0.05588
## 3rd Qu.:1.000 3rd Qu.:0.00000 3rd Qu.:1.000 3rd Qu.:0.00000
## Max. :1.000 Max. :8.00000 Max. :1.000 Max. :8.00000
## NA's :60504 NA's :61681
## s728db s728e s728eb s728f
## Min. :0.000 Min. :0.00000 Min. :0.000 Min. :0.00000
## 1st Qu.:1.000 1st Qu.:0.00000 1st Qu.:0.000 1st Qu.:0.00000
## Median :1.000 Median :0.00000 Median :1.000 Median :0.00000
## Mean :0.857 Mean :0.03434 Mean :0.681 Mean :0.03277
## 3rd Qu.:1.000 3rd Qu.:0.00000 3rd Qu.:1.000 3rd Qu.:0.00000
## Max. :1.000 Max. :8.00000 Max. :1.000 Max. :8.00000
## NA's :61119 NA's :61897
## s728fb s728g s728gb milk_or_curd
## Min. :0.000 Min. :0.00000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.00000 1st Qu.:1.000 1st Qu.:1.000
## Median :1.000 Median :0.00000 Median :1.000 Median :1.000
## Mean :0.721 Mean :0.03576 Mean :0.757 Mean :1.675
## 3rd Qu.:1.000 3rd Qu.:0.00000 3rd Qu.:1.000 3rd Qu.:2.000
## Max. :1.000 Max. :8.00000 Max. :1.000 Max. :3.000
## NA's :62067 NA's :61913
## pulse_or_beans green_leafy_veg fruit eggs fishes
## Min. :0.000 Min. :0.00 Min. :0.00 Min. :0.000 Min. :0.000
## 1st Qu.:1.000 1st Qu.:1.00 1st Qu.:2.00 1st Qu.:1.000 1st Qu.:0.000
## Median :2.000 Median :1.00 Median :3.00 Median :2.000 Median :2.000
## Mean :1.581 Mean :1.54 Mean :2.36 Mean :1.775 Mean :1.693
## 3rd Qu.:2.000 3rd Qu.:2.00 3rd Qu.:3.00 3rd Qu.:3.000 3rd Qu.:3.000
## Max. :3.000 Max. :3.00 Max. :3.00 Max. :3.000 Max. :3.000
##
## chicken_or_meat fried_food aerated_drink s821i
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:0.000
## Median :2.000 Median :3.000 Median :3.000 Median :0.000
## Mean :1.788 Mean :2.355 Mean :2.338 Mean :0.011
## 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:0.000
## Max. :3.000 Max. :3.000 Max. :3.000 Max. :1.000
## NA's :52708
## s821j s821k s821l s821aa
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.167 Mean :0.118 Mean :0.002 Mean :0.001
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :52708 NA's :52708 NA's :52708 NA's :52708
## s821ab s821ac s821ad s821ae
## Min. :0.000 Min. :0 Min. :0 Min. :0
## 1st Qu.:0.000 1st Qu.:0 1st Qu.:0 1st Qu.:0
## Median :0.000 Median :0 Median :0 Median :0
## Mean :0.001 Mean :0 Mean :0 Mean :0
## 3rd Qu.:0.000 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0
## Max. :1.000 Max. :1 Max. :1 Max. :1
## NA's :52708 NA's :52708 NA's :52708 NA's :52708
## s821af s821ag s821ba s821bb
## Min. :0 Min. :0 Min. :0 Min. :0
## 1st Qu.:0 1st Qu.:0 1st Qu.:0 1st Qu.:0
## Median :0 Median :0 Median :0 Median :0
## Mean :0 Mean :0 Mean :0 Mean :0
## 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0
## Max. :0 Max. :0 Max. :1 Max. :0
## NA's :52708 NA's :52708 NA's :52708 NA's :52708
## s821bc s821bd s821be s821bf
## Min. :0 Min. :0 Min. :0 Min. :0
## 1st Qu.:0 1st Qu.:0 1st Qu.:0 1st Qu.:0
## Median :0 Median :0 Median :0 Median :0
## Mean :0 Mean :0 Mean :0 Mean :0
## 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0
## Max. :0 Max. :0 Max. :0 Max. :0
## NA's :52708 NA's :52708 NA's :52708 NA's :52708
## s821bg s824 s824a s824b
## Min. :0 Min. :11.00 Min. :13 Min. : NA
## 1st Qu.:0 1st Qu.:26.00 1st Qu.:13 1st Qu.: NA
## Median :0 Median :41.00 Median :13 Median : NA
## Mean :0 Mean :44.31 Mean :13 Mean :NaN
## 3rd Qu.:0 3rd Qu.:62.00 3rd Qu.:13 3rd Qu.: NA
## Max. :0 Max. :98.00 Max. :13 Max. : NA
## NA's :52708 NA's :60473 NA's :62134 NA's :62135
## s909 s910 s920 s929
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :1.000 Median :0.000 Median :0.000
## Mean :0.262 Mean :0.552 Mean :0.474 Mean :0.487
## 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:1.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :52796 NA's :59689 NA's :61227 NA's :52708
## s930a s930b s930c s931
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 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 :1.323 Mean :1.425 Mean :1.405 Mean :0.795
## 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:1.000
## Max. :2.000 Max. :2.000 Max. :2.000 Max. :1.000
## NA's :52708 NA's :52708 NA's :52708 NA's :52708
## s932 s933 s934 s937
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :1.000 Median :0.000 Median :0.000 Median :1.000
## Mean :0.583 Mean :0.204 Mean :0.338 Mean :0.624
## 3rd Qu.:1.000 3rd Qu.:0.000 3rd Qu.:1.000 3rd Qu.:1.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :52708 NA's :56636 NA's :52708 NA's :53161
## s940 s941 s943f s943g
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.467 Mean :0.174 Mean :0.212 Mean :0.322
## 3rd Qu.:1.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:1.000
## Max. :1.000 Max. :1.000 Max. :8.000 Max. :8.000
## NA's :52708 NA's :57731 NA's :52708 NA's :52708
## s944 s945 s947 s1004a
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:0.000
## Median :1.000 Median :1.000 Median :1.000 Median :0.000
## Mean :0.982 Mean :0.892 Mean :0.806 Mean :0.089
## 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:0.000
## Max. :8.000 Max. :8.000 Max. :1.000 Max. :1.000
## NA's :52708 NA's :52708 NA's :52796 NA's :53951
## s1004b s1004c s1004d s1004e
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :1.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.568 Mean :0.141 Mean :0.212 Mean :0.102
## 3rd Qu.:1.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :53951 NA's :53951 NA's :53951 NA's :53951
## s1004f s1004g s1004h s1004i
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.00
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.00
## Median :0.000 Median :0.000 Median :0.000 Median :0.00
## Mean :0.013 Mean :0.274 Mean :0.019 Mean :0.01
## 3rd Qu.:0.000 3rd Qu.:1.000 3rd Qu.:0.000 3rd Qu.:0.00
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.00
## NA's :53951 NA's :53951 NA's :53951 NA's :53951
## s1004j s1004k s1004l s1004m
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.007 Mean :0.255 Mean :0.069 Mean :0.219
## 3rd Qu.:0.000 3rd Qu.:1.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :53951 NA's :53951 NA's :53951 NA's :53951
## s1004n s1004o s1004p s1004x
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.269 Mean :0.018 Mean :0.029 Mean :0.005
## 3rd Qu.:1.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :53951 NA's :53951 NA's :53951 NA's :53951
## s1008 s1009 s1011 s1012a
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:0.000 1st Qu.:0.000
## Median :1.000 Median :1.000 Median :1.000 Median :0.000
## Mean :1.258 Mean :1.356 Mean :1.974 Mean :1.605
## 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:1.000
## Max. :8.000 Max. :8.000 Max. :8.000 Max. :8.000
## NA's :53951 NA's :53951 NA's :53951 NA's :53951
## s1012b s1012c s1012d s1012e
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :1.807 Mean :1.633 Mean :1.602 Mean :1.591
## 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:1.000
## Max. :8.000 Max. :8.000 Max. :8.000 Max. :8.000
## NA's :53951 NA's :53951 NA's :53951 NA's :53951
## s1012f s1012g s1012h s1012i
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :1.534 Mean :1.518 Mean :1.525 Mean :1.583
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:1.000
## Max. :8.000 Max. :8.000 Max. :8.000 Max. :8.000
## NA's :53951 NA's :53951 NA's :53951 NA's :53951
## s1012j s1012k s1012l s1012m
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :1.539 Mean :1.597 Mean :1.544 Mean :1.504
## 3rd Qu.:0.000 3rd Qu.:1.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :8.000 Max. :8.000 Max. :8.000 Max. :8.000
## NA's :53951 NA's :53951 NA's :53951 NA's :53951
## s1012n s1012o s1012p s1012wx
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :1.511 Mean :1.505 Mean :1.503 Mean :1.503
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :8.000 Max. :8.000 Max. :8.000 Max. :8.000
## NA's :53951 NA's :53951 NA's :53951 NA's :53951
## s1012z s1040 s1042 s1046
## Min. :0.000 Min. :0.000 Min. :0.00 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.00 1st Qu.:0.000
## Median :0.000 Median :1.000 Median :1.00 Median :1.000
## Mean :1.505 Mean :0.747 Mean :1.06 Mean :0.885
## 3rd Qu.:0.000 3rd Qu.:1.000 3rd Qu.:1.00 3rd Qu.:1.000
## Max. :8.000 Max. :3.000 Max. :8.00 Max. :8.000
## NA's :53951 NA's :53951 NA's :53951 NA's :53951
## s1047 s1056aa s1056ab s1056ac
## Min. :0.000 Min. :0 Min. :0 Min. :0
## 1st Qu.:0.000 1st Qu.:0 1st Qu.:0 1st Qu.:0
## Median :1.000 Median :0 Median :0 Median :0
## Mean :0.928 Mean :0 Mean :0 Mean :0
## 3rd Qu.:1.000 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0
## Max. :8.000 Max. :1 Max. :0 Max. :1
## NA's :53951 NA's :52708 NA's :52708 NA's :52708
## s1056ad s1056ae s1056af s1056ag
## Min. :0 Min. :0 Min. :0 Min. :0
## 1st Qu.:0 1st Qu.:0 1st Qu.:0 1st Qu.:0
## Median :0 Median :0 Median :0 Median :0
## Mean :0 Mean :0 Mean :0 Mean :0
## 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0
## Max. :1 Max. :0 Max. :0 Max. :0
## NA's :52708 NA's :52708 NA's :52708 NA's :52708
## s1056ba s1056bb s1056bc s1056bd
## Min. :0.000 Min. :0 Min. :0 Min. :0
## 1st Qu.:0.000 1st Qu.:0 1st Qu.:0 1st Qu.:0
## Median :0.000 Median :0 Median :0 Median :0
## Mean :0.001 Mean :0 Mean :0 Mean :0
## 3rd Qu.:0.000 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0
## Max. :1.000 Max. :0 Max. :0 Max. :0
## NA's :52708 NA's :52708 NA's :52708 NA's :52708
## s1056be s1056bf s1056bg s1136a
## Min. :0 Min. :0 Min. :0 Min. : NA
## 1st Qu.:0 1st Qu.:0 1st Qu.:0 1st Qu.: NA
## Median :0 Median :0 Median :0 Median : NA
## Mean :0 Mean :0 Mean :0 Mean :NaN
## 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0 3rd Qu.: NA
## Max. :1 Max. :0 Max. :0 Max. : NA
## NA's :52708 NA's :52708 NA's :52708 NA's :62135
## s1136b s1136c s1136d s1136e
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## s1136f s1136g s1136h s1136i
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## s1136j s1136k s1136l s1136m
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## s1136n s1136o s1136p s1136q
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## s1136r s1136s s1136t s1136u
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## s1136v s1136x s1136aa s1136ab
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## s1136ac s1136ad s1136ae s1136af
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## s1136ag s1136ba s1136bb s1136bc
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## s1136bd s1136be s1136bf s1136bg
## Min. : NA Min. : NA Min. : NA Min. : NA
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
## Median : NA Median : NA Median : NA Median : NA
## Mean :NaN Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA Max. : NA
## NA's :62135 NA's :62135 NA's :62135 NA's :62135
## sb14a sb14b sb14c sb14d
## Min. :0.0000 Min. :0.0000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.0000 Median :0.0000 Median :0.00000 Median :0.00000
## Mean :0.3141 Mean :0.2101 Mean :0.01287 Mean :0.04703
## 3rd Qu.:1.0000 3rd Qu.:0.0000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.0000 Max. :1.0000 Max. :1.00000 Max. :1.00000
## NA's :1681 NA's :1680 NA's :1681 NA's :1682
## sb15 sb16 sb17 sb18s
## Min. : 5.00 Min. :1.000 Min. : 200 Min. : 0.0
## 1st Qu.:22.00 1st Qu.:1.000 1st Qu.:1222 1st Qu.:106.0
## Median :24.00 Median :2.000 Median :1425 Median :114.0
## Mean :23.92 Mean :1.705 Mean :1418 Mean :115.2
## 3rd Qu.:26.00 3rd Qu.:2.000 3rd Qu.:1630 3rd Qu.:123.0
## Max. :75.00 Max. :3.000 Max. :2359 Max. :996.0
## NA's :1687 NA's :1689 NA's :1684 NA's :1681
## sb18d sb19 sb20 sb21
## Min. : 0.00 Min. :0.0000 Min. :0.00000 Min. :0.00000
## 1st Qu.: 71.00 1st Qu.:1.0000 1st Qu.:0.00000 1st Qu.:0.00000
## Median : 77.00 Median :1.0000 Median :0.00000 Median :0.00000
## Mean : 77.01 Mean :0.7656 Mean :0.06087 Mean :0.01645
## 3rd Qu.: 83.00 3rd Qu.:1.0000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :223.00 Max. :1.0000 Max. :1.00000 Max. :1.00000
## NA's :1694 NA's :1694 NA's :1695 NA's :1706
## sb24 sb25s sb25d sb28 sb29s
## Min. : 205 Min. : 9.0 Min. : 0.0 Min. : 210 Min. : 11.0
## 1st Qu.:1229 1st Qu.:104.0 1st Qu.: 70.0 1st Qu.:1235 1st Qu.:103.0
## Median :1430 Median :112.0 Median : 75.0 Median :1436 Median :111.0
## Mean :1426 Mean :112.9 Mean : 75.5 Mean :1435 Mean :111.6
## 3rd Qu.:1635 3rd Qu.:121.0 3rd Qu.: 81.0 3rd Qu.:1640 3rd Qu.:119.0
## Max. :2354 Max. :995.0 Max. :239.0 Max. :2340 Max. :995.0
## NA's :3353 NA's :3352 NA's :3354 NA's :5466 NA's :5465
## sb29d sb53 sb54 sb55
## Min. : 0.00 Min. : 0.000 Min. : 0.000 Min. :0.0000
## 1st Qu.: 69.00 1st Qu.: 1.000 1st Qu.: 0.000 1st Qu.:0.0000
## Median : 74.00 Median : 2.000 Median : 2.000 Median :0.0000
## Mean : 74.51 Mean : 2.726 Mean : 5.249 Mean :0.3523
## 3rd Qu.: 80.00 3rd Qu.: 4.000 3rd Qu.: 4.000 3rd Qu.:1.0000
## Max. :290.00 Max. :45.000 Max. :95.000 Max. :1.0000
## NA's :5470 NA's :2319 NA's :2751 NA's :2282
## sb56 sb57 sb73 sb74
## Min. :0.00000 Min. :0.00000 Min. : 200 Min. : 28.0
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:1240 1st Qu.: 95.0
## Median :0.00000 Median :0.00000 Median :1445 Median :105.0
## Mean :0.01283 Mean :0.00593 Mean :1544 Mean :121.1
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:1650 3rd Qu.:118.0
## Max. :1.00000 Max. :1.00000 Max. :9696 Max. :998.0
## NA's :2282 NA's :2285 NA's :1290 NA's :1231
## sb79 sb80 sb81 s305
## Min. :0.00000 Min. :0.00000 Min. :0.00000 Min. : 30.00
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.: 68.20
## Median :0.00000 Median :0.00000 Median :0.00000 Median : 75.00
## Mean :0.00897 Mean :0.00418 Mean :0.00485 Mean : 85.02
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.: 82.90
## Max. :1.00000 Max. :1.00000 Max. :1.00000 Max. :999.60
## NA's :1066 NA's :1066 NA's :1066 NA's :1055
## s306 s190s s191s s190us
## Min. : 30.00 Min. :1.000 Min. :-2501080 Min. :1.000
## 1st Qu.: 81.40 1st Qu.:2.000 1st Qu.: -886375 1st Qu.:1.000
## Median : 87.50 Median :3.000 Median : -103791 Median :3.000
## Mean : 96.89 Mean :2.766 Mean : -86197 Mean :2.757
## 3rd Qu.: 94.30 3rd Qu.:4.000 3rd Qu.: 693319 3rd Qu.:4.000
## Max. :999.60 Max. :5.000 Max. : 2626500 Max. :5.000
## NA's :1054 NA's :49497
## s191us s190rs s191rs sh29ca
## Min. :-4041591 Min. :1.000 Min. :-2446780 Min. : NA
## 1st Qu.: -674765 1st Qu.:2.000 1st Qu.: -828771 1st Qu.: NA
## Median : 96625 Median :3.000 Median : -86771 Median : NA
## Mean : -82585 Mean :2.916 Mean : -28630 Mean :NaN
## 3rd Qu.: 687379 3rd Qu.:4.000 3rd Qu.: 715000 3rd Qu.: NA
## Max. : 2003540 Max. :5.000 Max. : 3186810 Max. : NA
## NA's :49497 NA's :12638 NA's :12638 NA's :62135
## screfuse idx92 s220a s220b
## Min. : NA Min. :1.000 Min. : 4.000 Min. :0.0000
## 1st Qu.: NA 1st Qu.:1.000 1st Qu.: 9.000 1st Qu.:1.0000
## Median : NA Median :1.000 Median : 9.000 Median :1.0000
## Mean :NaN Mean :1.003 Mean : 8.933 Mean :0.8409
## 3rd Qu.: NA 3rd Qu.:1.000 3rd Qu.: 9.000 3rd Qu.:1.0000
## Max. : NA Max. :3.000 Max. :10.000 Max. :1.0000
## NA's :62135
## idx94 s408 s409 s410
## Min. :1.000 Min. : 0.000 Min. :0.0000 Min. :0.0000
## 1st Qu.:1.000 1st Qu.: 1.000 1st Qu.:1.0000 1st Qu.:1.0000
## Median :1.000 Median : 2.000 Median :1.0000 Median :1.0000
## Mean :1.003 Mean : 2.028 Mean :0.8125 Mean :0.9428
## 3rd Qu.:1.000 3rd Qu.: 2.000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :3.000 Max. :98.000 Max. :1.0000 Max. :1.0000
## NA's :133 NA's :133 NA's :133
## s411 s412 s413 s414
## Min. : 0.000 Min. :1.000 Min. :0.0000 Min. :0.0000
## 1st Qu.: 2.000 1st Qu.:1.000 1st Qu.:1.0000 1st Qu.:1.0000
## Median : 3.000 Median :2.000 Median :1.0000 Median :1.0000
## Mean : 3.134 Mean :1.905 Mean :0.9625 Mean :0.9386
## 3rd Qu.: 3.000 3rd Qu.:2.000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :98.000 Max. :6.000 Max. :1.0000 Max. :1.0000
## NA's :3680 NA's :3680 NA's :3680 NA's :133
## s419e s420a s420b s420c
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:1.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :1.0000 Median :1.0000 Median :1.0000 Median :1.0000
## Mean :0.9319 Mean :0.6267 Mean :0.6217 Mean :0.6702
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## NA's :3940 NA's :3940 NA's :3940 NA's :3940
## s420d s420e s422 s432
## Min. :0.0000 Min. :0.00 Min. :0.0000 Min. :1.00
## 1st Qu.:0.0000 1st Qu.:0.00 1st Qu.:1.0000 1st Qu.:1.00
## Median :1.0000 Median :1.00 Median :1.0000 Median :2.00
## Mean :0.6873 Mean :0.69 Mean :0.8509 Mean :2.01
## 3rd Qu.:1.0000 3rd Qu.:1.00 3rd Qu.:1.0000 3rd Qu.:3.00
## Max. :1.0000 Max. :1.00 Max. :1.0000 Max. :3.00
## NA's :3940 NA's :3940 NA's :3940 NA's :133
## s434 s435 s436 s437
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:1.000
## Median :0.0000 Median :0.0000 Median :1.0000 Median :1.000
## Mean :0.1606 Mean :0.3083 Mean :0.7098 Mean :0.856
## 3rd Qu.:0.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.000
## Max. :8.0000 Max. :8.0000 Max. :1.0000 Max. :1.000
## NA's :133 NA's :133 NA's :133 NA's :18127
## s438 s439 s440a s440b
## Min. :0.0000 Min. :1.000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:1.000 1st Qu.:1.0000 1st Qu.:1.0000
## Median :1.0000 Median :2.000 Median :1.0000 Median :1.0000
## Mean :0.7022 Mean :1.916 Mean :0.8874 Mean :0.8475
## 3rd Qu.:1.0000 3rd Qu.:3.000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :3.000 Max. :1.0000 Max. :1.0000
## NA's :133 NA's :18596 NA's :18596 NA's :18596
## s440c s440d s440e s441
## Min. :0.0000 Min. :0.0000 Min. :0.000 Min. :0.0000
## 1st Qu.:1.0000 1st Qu.:1.0000 1st Qu.:1.000 1st Qu.:0.0000
## Median :1.0000 Median :1.0000 Median :1.000 Median :0.0000
## Mean :0.9053 Mean :0.8733 Mean :0.831 Mean :0.3126
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.000 Max. :8.0000
## NA's :18596 NA's :18596 NA's :18596 NA's :133
## s442 s443 s449 s450a
## Min. :0.0000 Min. :0.0000 Min. : 1.0 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.: 1.0 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median : 3.0 Median :0.0000
## Mean :0.4305 Mean :0.3808 Mean : 4.3 Mean :0.0415
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.: 6.0 3rd Qu.:0.0000
## Max. :8.0000 Max. :8.0000 Max. :96.0 Max. :1.0000
## NA's :133 NA's :133 NA's :7251 NA's :8160
## s450b s450c s450d s450e
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.0361 Mean :0.0111 Mean :0.0199 Mean :0.2383
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## NA's :8160 NA's :8160 NA's :8160 NA's :8160
## s450f s450g s450h s450i
## Min. :0.0000 Min. :0e+00 Min. :0e+00 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0e+00 1st Qu.:0e+00 1st Qu.:0.0000
## Median :0.0000 Median :0e+00 Median :0e+00 Median :1.0000
## Mean :0.0044 Mean :2e-04 Mean :4e-04 Mean :0.6612
## 3rd Qu.:0.0000 3rd Qu.:0e+00 3rd Qu.:0e+00 3rd Qu.:1.0000
## Max. :1.0000 Max. :1e+00 Max. :1e+00 Max. :1.0000
## NA's :8160 NA's :8160 NA's :8160 NA's :8160
## s450j s450k s450l s450m
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.1273 Mean :0.0951 Mean :0.0795 Mean :0.0096
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## NA's :8160 NA's :8160 NA's :8160 NA's :8160
## s450x s451 s452a s452b
## Min. :0.0000 Min. : 0 Min. : 0 Min. : 0
## 1st Qu.:0.0000 1st Qu.: 0 1st Qu.: 0 1st Qu.: 0
## Median :0.0000 Median : 200 Median : 0 Median : 0
## Mean :0.0099 Mean :11516 Mean :16043 Mean :17043
## 3rd Qu.:0.0000 3rd Qu.: 1000 3rd Qu.: 5000 3rd Qu.: 3000
## Max. :1.0000 Max. :99998 Max. :99998 Max. :99998
## NA's :8160 NA's :8160 NA's :7251 NA's :7251
## s452c s452d s454 s456a
## Min. : 0 Min. : 0 Min. : 0 Min. :0.000
## 1st Qu.: 0 1st Qu.: 0 1st Qu.: 0 1st Qu.:1.000
## Median : 500 Median : 1000 Median : 1000 Median :1.000
## Mean :18210 Mean :18884 Mean :24957 Mean :0.851
## 3rd Qu.: 5000 3rd Qu.: 5000 3rd Qu.:30000 3rd Qu.:1.000
## Max. :99998 Max. :99998 Max. :99998 Max. :1.000
## NA's :7251 NA's :7251 NA's :42477 NA's :16830
## s456b s456c s456d s456e
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.1738 Mean :0.0192 Mean :0.0145 Mean :0.0062
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## NA's :16830 NA's :16830 NA's :16830 NA's :16830
## s456x s457 s458a s458b
## Min. :0.00 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.00 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.00 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.03 Mean :0.4388 Mean :0.3668 Mean :0.0763
## 3rd Qu.:0.00 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.00 Max. :1.0000 Max. :1.0000 Max. :1.0000
## NA's :16830 NA's :7251 NA's :7251 NA's :7251
## s458x s459 s460 s464
## Min. :0.0000 Min. : 0.0 Min. : 1 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.: 6.0 1st Qu.: 1400 1st Qu.:1.0000
## Median :0.0000 Median :30.0 Median : 1400 Median :1.0000
## Mean :0.0067 Mean :39.2 Mean : 10846 Mean :0.8578
## 3rd Qu.:0.0000 3rd Qu.:60.0 3rd Qu.: 2000 3rd Qu.:1.0000
## Max. :1.0000 Max. :98.0 Max. :999998 Max. :8.0000
## NA's :7251 NA's :42599 NA's :42599
## s465 s470 s471 s472
## Min. :0.0000 Min. :0.0000 Min. :100.0 Min. :11.00
## 1st Qu.:1.0000 1st Qu.:1.0000 1st Qu.:100.0 1st Qu.:11.00
## Median :1.0000 Median :1.0000 Median :101.0 Median :11.00
## Mean :0.9689 Mean :0.9398 Mean :120.9 Mean :11.52
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:102.0 3rd Qu.:12.00
## Max. :8.0000 Max. :8.0000 Max. :998.0 Max. :96.00
## NA's :13726 NA's :7251 NA's :12993 NA's :12993
## s473 s474 s475 s476
## Min. :0.0000 Min. :100.0 Min. :11.00 Min. :11.0
## 1st Qu.:0.0000 1st Qu.:104.0 1st Qu.:11.00 1st Qu.:11.0
## Median :0.0000 Median :203.0 Median :12.00 Median :21.0
## Mean :0.4543 Mean :212.7 Mean :14.27 Mean :23.3
## 3rd Qu.:1.0000 3rd Qu.:301.0 3rd Qu.:21.00 3rd Qu.:25.0
## Max. :1.0000 Max. :998.0 Max. :96.00 Max. :96.0
## NA's :7251 NA's :37202 NA's :37202 NA's :37202
## s477 s478 s479 s480
## Min. :0.0000 Min. :100.0 Min. :11.00 Min. :11.00
## 1st Qu.:0.0000 1st Qu.:202.0 1st Qu.:11.00 1st Qu.:11.00
## Median :0.0000 Median :206.0 Median :12.00 Median :21.00
## Mean :0.4573 Mean :238.8 Mean :15.11 Mean :22.22
## 3rd Qu.:1.0000 3rd Qu.:302.0 3rd Qu.:21.00 3rd Qu.:25.00
## Max. :1.0000 Max. :998.0 Max. :96.00 Max. :96.00
## NA's :7251 NA's :37036 NA's :37036 NA's :37036
## s481 s483a s483b s483c
## Min. :0.0000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:1.000 1st Qu.:1.000
## Median :0.0000 Median :1.000 Median :1.000 Median :1.000
## Mean :0.3901 Mean :1.002 Mean :1.004 Mean :1.131
## 3rd Qu.:1.0000 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:1.000
## Max. :1.0000 Max. :8.000 Max. :8.000 Max. :8.000
## NA's :7251 NA's :55017 NA's :55017 NA's :55017
## s486 s493a s493b s494a
## Min. :0.000 Min. :0.0000 Min. :0.000 Min. :0.0000
## 1st Qu.:1.000 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.0000
## Median :2.000 Median :0.0000 Median :0.000 Median :1.0000
## Mean :2.534 Mean :0.2283 Mean :0.181 Mean :0.7289
## 3rd Qu.:3.000 3rd Qu.:0.0000 3rd Qu.:0.000 3rd Qu.:1.0000
## Max. :8.000 Max. :1.0000 Max. :1.000 Max. :1.0000
## NA's :36998 NA's :133 NA's :133 NA's :133
## s494b s494c s494d s494e
## Min. :0.000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:1.000 1st Qu.:0.0000 1st Qu.:1.0000 1st Qu.:1.0000
## Median :1.000 Median :1.0000 Median :1.0000 Median :1.0000
## Mean :0.756 Mean :0.7236 Mean :0.8027 Mean :0.7605
## 3rd Qu.:1.000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## NA's :133 NA's :133 NA's :133 NA's :133
## idx95 flpv1 flpv1d flpv1m
## Min. :1.000 Min. :0.0000 Min. : 1.00 Min. : 1.000
## 1st Qu.:1.000 1st Qu.:0.0000 1st Qu.: 7.00 1st Qu.: 4.000
## Median :1.000 Median :1.0000 Median :15.00 Median : 7.000
## Mean :1.003 Mean :0.9119 Mean :14.96 Mean : 6.717
## 3rd Qu.:1.000 3rd Qu.:1.0000 3rd Qu.:22.00 3rd Qu.: 9.000
## Max. :3.000 Max. :8.0000 Max. :98.00 Max. :98.000
## NA's :22063 NA's :22063
## flpv1y flpv2 flpv2d flpv2m
## Min. :2017 Min. :0.0000 Min. : 1.00 Min. : 1.000
## 1st Qu.:2018 1st Qu.:0.0000 1st Qu.: 7.00 1st Qu.: 4.000
## Median :2019 Median :1.0000 Median :15.00 Median : 7.000
## Mean :2037 Mean :0.7679 Mean :15.09 Mean : 6.928
## 3rd Qu.:2019 3rd Qu.:1.0000 3rd Qu.:22.00 3rd Qu.:10.000
## Max. :9998 Max. :8.0000 Max. :98.00 Max. :98.000
## NA's :22063 NA's :29166 NA's :29166
## flpv2y je1 je1d je1m
## Min. :2017 Min. :0.0000 Min. : 1.00 Min. : 1.000
## 1st Qu.:2018 1st Qu.:0.0000 1st Qu.: 7.00 1st Qu.: 4.000
## Median :2019 Median :0.0000 Median :14.00 Median : 7.000
## Mean :2048 Mean :0.4352 Mean :15.36 Mean : 7.749
## 3rd Qu.:2020 3rd Qu.:1.0000 3rd Qu.:21.00 3rd Qu.:10.000
## Max. :9998 Max. :8.0000 Max. :98.00 Max. :98.000
## NA's :29166 NA's :47809 NA's :47809
## je1y je2 je2d je2m
## Min. :2017 Min. :0.0000 Min. : 1.00 Min. : 1.00
## 1st Qu.:2019 1st Qu.:0.0000 1st Qu.: 7.00 1st Qu.: 4.00
## Median :2019 Median :0.0000 Median :14.00 Median : 7.00
## Mean :2109 Mean :0.2509 Mean :17.48 Mean :10.28
## 3rd Qu.:2020 3rd Qu.:0.0000 3rd Qu.:22.00 3rd Qu.:10.00
## Max. :9998 Max. :8.0000 Max. :98.00 Max. :98.00
## NA's :47809 NA's :57152 NA's :57152
## je2y mcv1d mcv1m mcv1y
## Min. :2017 Min. : 0.000 Min. : 0.000 Min. : 0
## 1st Qu.:2019 1st Qu.: 0.000 1st Qu.: 0.000 1st Qu.: 0
## Median :2019 Median : 4.000 Median : 2.000 Median :2018
## Mean :2333 Mean : 9.815 Mean : 5.665 Mean :1294
## 3rd Qu.:2020 3rd Qu.:17.000 3rd Qu.: 8.000 3rd Qu.:2019
## Max. :9998 Max. :98.000 Max. :98.000 Max. :9998
## NA's :57152 NA's :7600 NA's :7600 NA's :7600
## mcv2d mcv2m mcv2y dptb
## Min. : 0.000 Min. : 0.000 Min. : 0.0 Min. :0.0000
## 1st Qu.: 0.000 1st Qu.: 0.000 1st Qu.: 0.0 1st Qu.:0.0000
## Median : 0.000 Median : 0.000 Median : 0.0 Median :0.0000
## Mean : 4.528 Mean : 3.136 Mean : 566.3 Mean :0.4128
## 3rd Qu.: 0.000 3rd Qu.: 0.000 3rd Qu.: 0.0 3rd Qu.:1.0000
## Max. :98.000 Max. :98.000 Max. :9998.0 Max. :8.0000
## NA's :7600 NA's :7600 NA's :7600
## dptbd dptbm dptby s513s
## Min. : 1.00 Min. : 1.000 Min. :2017 Min. :1.00
## 1st Qu.: 7.00 1st Qu.: 4.000 1st Qu.:2019 1st Qu.:1.00
## Median :14.00 Median : 7.000 Median :2019 Median :1.00
## Mean :15.23 Mean : 7.725 Mean :2101 Mean :1.46
## 3rd Qu.:21.00 3rd Qu.:10.000 3rd Qu.:2020 3rd Qu.:2.00
## Max. :98.00 Max. :98.000 Max. :9998 Max. :7.00
## NA's :49901 NA's :49901 NA's :49901 NA's :58794
## s513t s515 s515a s515b
## Min. :0.000 Min. :11.00 Min. :12.00 Min. :44
## 1st Qu.:0.000 1st Qu.:22.00 1st Qu.:12.00 1st Qu.:44
## Median :0.000 Median :26.00 Median :12.00 Median :44
## Mean :1.213 Mean :24.39 Mean :12.46 Mean :44
## 3rd Qu.:1.000 3rd Qu.:26.00 3rd Qu.:12.00 3rd Qu.:44
## Max. :8.000 Max. :96.00 Max. :18.00 Max. :44
## NA's :56371 NA's :1836 NA's :62080 NA's :62131
## idx96 s521k s521aa s521ab
## Min. :1.000 Min. :0.00 Min. :0.000 Min. :0
## 1st Qu.:1.000 1st Qu.:0.00 1st Qu.:0.000 1st Qu.:0
## Median :1.000 Median :0.00 Median :0.000 Median :0
## Mean :1.003 Mean :0.01 Mean :0.001 Mean :0
## 3rd Qu.:1.000 3rd Qu.:0.00 3rd Qu.:0.000 3rd Qu.:0
## Max. :3.000 Max. :1.00 Max. :1.000 Max. :0
## NA's :55772 NA's :55772 NA's :55772
## s521ac s521ad s521ae s521af
## Min. :0 Min. :0 Min. :0.000 Min. :0
## 1st Qu.:0 1st Qu.:0 1st Qu.:0.000 1st Qu.:0
## Median :0 Median :0 Median :0.000 Median :0
## Mean :0 Mean :0 Mean :0.001 Mean :0
## 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0.000 3rd Qu.:0
## Max. :0 Max. :0 Max. :1.000 Max. :1
## NA's :55772 NA's :55772 NA's :55772 NA's :55772
## s521ag s521ba s521bb s521bc
## Min. :0 Min. :0.000 Min. :0 Min. :0
## 1st Qu.:0 1st Qu.:0.000 1st Qu.:0 1st Qu.:0
## Median :0 Median :0.000 Median :0 Median :0
## Mean :0 Mean :0.001 Mean :0 Mean :0
## 3rd Qu.:0 3rd Qu.:0.000 3rd Qu.:0 3rd Qu.:0
## Max. :0 Max. :1.000 Max. :0 Max. :1
## NA's :55772 NA's :55772 NA's :55772 NA's :55772
## s521bd s521be s521bf s521bg
## Min. :0 Min. :0.000 Min. :0 Min. :0.000
## 1st Qu.:0 1st Qu.:0.000 1st Qu.:0 1st Qu.:0.000
## Median :0 Median :0.000 Median :0 Median :0.000
## Mean :0 Mean :0.001 Mean :0 Mean :0.001
## 3rd Qu.:0 3rd Qu.:0.000 3rd Qu.:0 3rd Qu.:0.000
## Max. :0 Max. :1.000 Max. :0 Max. :1.000
## NA's :55772 NA's :55772 NA's :55772 NA's :55772
## s523a s523b micronutrient_powder s526b
## Min. :5 Min. : NA Min. :0.0000 Min. :0.0000
## 1st Qu.:5 1st Qu.: NA 1st Qu.:0.0000 1st Qu.:0.0000
## Median :5 Median : NA Median :0.0000 Median :0.0000
## Mean :5 Mean :NaN Mean :0.1387 Mean :0.1399
## 3rd Qu.:5 3rd Qu.: NA 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :5 Max. : NA Max. :8.0000 Max. :8.0000
## NA's :62134 NA's :62135
## s526c s539j s539k s539aa
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0
## Median :0.000 Median :0.000 Median :0.000 Median :0
## Mean :0.153 Mean :0.008 Mean :0.005 Mean :0
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0
## Max. :8.000 Max. :1.000 Max. :1.000 Max. :1
## NA's :50251 NA's :50251 NA's :50251
## s539ab s539ac s539ad s539ae
## Min. :0 Min. :0 Min. :0 Min. :0.000
## 1st Qu.:0 1st Qu.:0 1st Qu.:0 1st Qu.:0.000
## Median :0 Median :0 Median :0 Median :0.000
## Mean :0 Mean :0 Mean :0 Mean :0.001
## 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0.000
## Max. :1 Max. :0 Max. :0 Max. :1.000
## NA's :50251 NA's :50251 NA's :50251 NA's :50251
## s539af s539ag s539ba s539bb
## Min. :0 Min. :0 Min. :0.000 Min. :0
## 1st Qu.:0 1st Qu.:0 1st Qu.:0.000 1st Qu.:0
## Median :0 Median :0 Median :0.000 Median :0
## Mean :0 Mean :0 Mean :0.001 Mean :0
## 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0.000 3rd Qu.:0
## Max. :0 Max. :1 Max. :1.000 Max. :0
## NA's :50251 NA's :50251 NA's :50251 NA's :50251
## s539bc s539bd s539be s539bf
## Min. :0 Min. :0 Min. :0.000 Min. :0
## 1st Qu.:0 1st Qu.:0 1st Qu.:0.000 1st Qu.:0
## Median :0 Median :0 Median :0.000 Median :0
## Mean :0 Mean :0 Mean :0.001 Mean :0
## 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0.000 3rd Qu.:0
## Max. :0 Max. :0 Max. :1.000 Max. :0
## NA's :50251 NA's :50251 NA's :50251 NA's :50251
## s539bg s541a s541b idx98
## Min. :0 Min. :5 Min. :1 Min. :1.000
## 1st Qu.:0 1st Qu.:5 1st Qu.:2 1st Qu.:1.000
## Median :0 Median :5 Median :3 Median :1.000
## Mean :0 Mean :5 Mean :3 Mean :1.003
## 3rd Qu.:0 3rd Qu.:5 3rd Qu.:4 3rd Qu.:1.000
## Max. :1 Max. :5 Max. :5 Max. :3.000
## NA's :50251 NA's :62133 NA's :62133
## icds_benefits icds_food s560 s561
## Min. :0.0000 Min. :0.000 Min. :0.000 Min. :0.0000
## 1st Qu.:1.0000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.0000
## Median :1.0000 Median :2.000 Median :1.000 Median :1.0000
## Mean :0.7796 Mean :2.114 Mean :1.083 Mean :0.8379
## 3rd Qu.:1.0000 3rd Qu.:3.000 3rd Qu.:1.000 3rd Qu.:1.0000
## Max. :1.0000 Max. :8.000 Max. :8.000 Max. :8.0000
## NA's :13694 NA's :13694 NA's :13694
## anganwadi_visits s563 s564 s565
## Min. :0.0000 Min. :0.000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:1.000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :1.0000 Median :1.000 Median :1.0000 Median :1.0000
## Mean :0.9968 Mean :1.386 Mean :0.7613 Mean :0.7302
## 3rd Qu.:2.0000 3rd Qu.:2.000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :8.0000 Max. :8.000 Max. :8.0000 Max. :1.0000
## NA's :13694 NA's :13694 NA's :20925
## s566a s566b s566c s567
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:1.0000 1st Qu.:1.0000 1st Qu.:1.0000 1st Qu.:0.0000
## Median :1.0000 Median :1.0000 Median :1.0000 Median :1.0000
## Mean :0.9522 Mean :0.8793 Mean :0.8359 Mean :0.6915
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :3.0000
## NA's :16765 NA's :16765 NA's :16765
## received_supplements s568b received_health_ed weight
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. : 0.003462
## 1st Qu.:1.0000 1st Qu.:1.0000 1st Qu.:1.0000 1st Qu.: 0.430629
## Median :1.0000 Median :1.0000 Median :1.0000 Median : 0.783234
## Mean :0.9655 Mean :0.8628 Mean :0.8371 Mean : 0.998486
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.: 1.299172
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :37.585911
## NA's :19337 NA's :19337 NA's :19337
## breastfed age_group juice_recode milk_recode
## Min. :0.0000 Min. :1.000 Min. :0.0000 Min. :0.0000
## 1st Qu.:1.0000 1st Qu.:1.000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :1.0000 Median :2.000 Median :0.0000 Median :0.0000
## Mean :0.8532 Mean :1.842 Mean :0.2245 Mean :0.4015
## 3rd Qu.:1.0000 3rd Qu.:2.000 3rd Qu.:0.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :3.000 Max. :1.0000 Max. :1.0000
##
## soup_recode liquid_recode meat_recode grains_recode
## Min. :0.000 Min. :0.000 Min. :0.00000 Min. :0.0000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.00000 1st Qu.:0.0000
## Median :0.000 Median :0.000 Median :0.00000 Median :1.0000
## Mean :0.202 Mean :0.228 Mean :0.07881 Mean :0.6026
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.00000 3rd Qu.:1.0000
## Max. :1.000 Max. :1.000 Max. :1.00000 Max. :1.0000
##
## tubers_recode egg_recode yellow_veg_recode green_veg_recode
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.2712 Mean :0.1823 Mean :0.2397 Mean :0.3379
## 3rd Qu.:1.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
##
## fruits_recode organs_recode fish_recode legumes_recode
## Min. :0.0000 Min. :0.000 Min. :0.00000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.00000 1st Qu.:0.0000
## Median :0.0000 Median :0.000 Median :0.00000 Median :0.0000
## Mean :0.2938 Mean :0.072 Mean :0.06402 Mean :0.1872
## 3rd Qu.:1.0000 3rd Qu.:0.000 3rd Qu.:0.00000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.000 Max. :1.00000 Max. :1.0000
##
## milk_products_recode mdd_grains_roots mdd_legumes_nuts mdd_dairy
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :1.0000 Median :0.0000 Median :0.0000
## Mean :0.1331 Mean :0.6355 Mean :0.1872 Mean :0.4551
## 3rd Qu.:0.0000 3rd Qu.:1.0000 3rd Qu.:0.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
##
## mdd_flesh mdd_egg mdd_vita mdd_otherfv
## Min. :0.0000 Min. :0.0000 Min. :0.000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.000 Median :0.0000
## Mean :0.1055 Mean :0.1823 Mean :0.415 Mean :0.4436
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:1.000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.000 Max. :1.0000
##
## baby_formula_recoded breastfed_child nonbreastfed_child mdd_score_bf
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.000
## 1st Qu.:0.0000 1st Qu.:1.0000 1st Qu.:0.0000 1st Qu.:1.000
## Median :0.0000 Median :1.0000 Median :0.0000 Median :2.000
## Mean :0.1205 Mean :0.8532 Mean :0.1468 Mean :2.332
## 3rd Qu.:0.0000 3rd Qu.:1.0000 3rd Qu.:0.0000 3rd Qu.:4.000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :7.000
## NA's :9121
## mdd_bf mdd_dairy_formula mdd_score_nbf mdd_nbf
## Min. :0.0000 Min. :0.0000 Min. :0.00 Min. :0.000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:2.00 1st Qu.:0.000
## Median :0.0000 Median :0.0000 Median :3.00 Median :0.000
## Mean :0.1371 Mean :0.4925 Mean :2.99 Mean :0.203
## 3rd Qu.:0.0000 3rd Qu.:1.0000 3rd Qu.:4.00 3rd Qu.:0.000
## Max. :1.0000 Max. :1.0000 Max. :7.00 Max. :1.000
## NA's :9121 NA's :53014 NA's :53014
## mdd age_recode milk_or_curd_bin pulse_or_beans_bin
## Min. :0.0000 Min. :1.000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:2.000 1st Qu.:1.0000 1st Qu.:1.0000
## Median :0.0000 Median :2.000 Median :1.0000 Median :1.0000
## Mean :0.2472 Mean :1.827 Mean :0.9335 Mean :0.9965
## 3rd Qu.:0.0000 3rd Qu.:2.000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :2.000 Max. :1.0000 Max. :1.0000
##
## green_leafy_veg_bin fruit_bin eggs_bin fishes_bin
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:1.0000 1st Qu.:1.0000 1st Qu.:1.0000 1st Qu.:0.0000
## Median :1.0000 Median :1.0000 Median :1.0000 Median :1.0000
## Mean :0.9984 Mean :0.9865 Mean :0.7575 Mean :0.6922
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
##
## chicken_or_meat_bin fried_food_bin aerated_drink_bin meal_count_proxy
## Min. :0.000 Min. :0.0000 Min. :0.0000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:1.0000 1st Qu.:1.0000 1st Qu.:0.000
## Median :1.000 Median :1.0000 Median :1.0000 Median :0.000
## Mean :0.722 Mean :0.9586 Mean :0.8411 Mean :2.521
## 3rd Qu.:1.000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:5.000
## Max. :1.000 Max. :1.0000 Max. :1.0000 Max. :7.000
##
## total_solid_feeds total_all_feeds meal_binary solid_recode
## Min. :0.000 Min. : 0.00 Min. :0.0000 Min. :0.000
## 1st Qu.:5.000 1st Qu.:14.00 1st Qu.:0.0000 1st Qu.:0.000
## Median :5.000 Median :18.00 Median :1.0000 Median :0.000
## Mean :5.652 Mean :17.11 Mean :0.7476 Mean :2.521
## 3rd Qu.:7.000 3rd Qu.:20.00 3rd Qu.:1.0000 3rd Qu.:5.000
## Max. :7.000 Max. :27.00 Max. :1.0000 Max. :7.000
## NA's :34420
## mmf mad_nbf meal_count_bin caseid_1
## Min. :0.0000 Min. :0.000 Min. :0.000 Min. : 1
## 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:1.000 1st Qu.:16268
## Median :0.0000 Median :0.000 Median :2.000 Median :32576
## Mean :0.4341 Mean :0.203 Mean :1.959 Mean :32442
## 3rd Qu.:1.0000 3rd Qu.:0.000 3rd Qu.:3.000 3rd Qu.:48596
## Max. :1.0000 Max. :1.000 Max. :8.000 Max. :64725
## NA's :53014
## mad_bf mad mmf_bf mmf_nonbf
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.000
## Median :0.0000 Median :0.0000 Median :1.0000 Median :0.000
## Mean :0.1371 Mean :0.1468 Mean :0.6325 Mean :0.477
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:1.0000 3rd Qu.:1.000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.000
## NA's :9121 NA's :9121 NA's :53014
## meal_count_clean mmf_1 milk_feed solid_feed
## Min. :0.000 Min. : NA Min. :0.0000 Min. :0.0000
## 1st Qu.:1.000 1st Qu.: NA 1st Qu.:1.0000 1st Qu.:1.0000
## Median :2.000 Median : NA Median :1.0000 Median :1.0000
## Mean :1.875 Mean :NaN Mean :0.9335 Mean :0.7613
## 3rd Qu.:3.000 3rd Qu.: NA 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :7.000 Max. : NA Max. :1.0000 Max. :1.0000
## NA's :850 NA's :62135
## total_feeds wt meal_count_recode mmf_bf_1
## Min. :0.000 Min. : 0.003462 Min. :0.000 Min. :0.0000
## 1st Qu.:1.000 1st Qu.: 0.430629 1st Qu.:0.000 1st Qu.:0.0000
## Median :3.000 Median : 0.783234 Median :2.000 Median :0.0000
## Mean :2.809 Mean : 0.998486 Mean :1.849 Mean :0.3367
## 3rd Qu.:4.000 3rd Qu.: 1.299172 3rd Qu.:3.000 3rd Qu.:1.0000
## Max. :8.000 Max. :37.585911 Max. :7.000 Max. :1.0000
## NA's :850 NA's :9121
## mmf_bf_2 mmf_nbf_2 formula food_groups_nbf
## Min. :0.0000 Min. :0.000 Min. :0.0000 Min. : 0.000
## 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.0000 1st Qu.: 2.000
## Median :0.0000 Median :0.000 Median :0.0000 Median : 3.000
## Mean :0.3239 Mean :0.319 Mean :0.1205 Mean : 3.606
## 3rd Qu.:1.0000 3rd Qu.:1.000 3rd Qu.:0.0000 3rd Qu.: 5.000
## Max. :1.0000 Max. :1.000 Max. :1.0000 Max. :10.000
## NA's :9121 NA's :53014
## food_groups_bf mdd_bf_1 mdd_nbf_1 mad_bf_1
## Min. :0.000 Min. :0.0000 Min. :0.000 Min. :0.0000
## 1st Qu.:2.000 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.0000
## Median :3.000 Median :0.0000 Median :0.000 Median :0.0000
## Mean :3.486 Mean :0.2782 Mean :0.356 Mean :0.1289
## 3rd Qu.:5.000 3rd Qu.:1.0000 3rd Qu.:1.000 3rd Qu.:0.0000
## Max. :9.000 Max. :1.0000 Max. :1.000 Max. :1.0000
## NA's :9121 NA's :53014 NA's :9121
## milk_feeds_2 mad_nbf_1 dairy_total_nbf mad_nbf_2
## Min. :0.0000 Min. :0.000 Min. :0.0000 Min. :0.000
## 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.0000 1st Qu.:0.000
## Median :0.0000 Median :0.000 Median :1.0000 Median :0.000
## Mean :0.6551 Mean :0.115 Mean :0.5164 Mean :0.115
## 3rd Qu.:1.0000 3rd Qu.:0.000 3rd Qu.:1.0000 3rd Qu.:0.000
## Max. :3.0000 Max. :1.000 Max. :1.0000 Max. :1.000
## NA's :53014 NA's :53014
## caste_clean mother_lit_clean marital_status_clean fatheredu_clean
## Min. :1.00 Min. :0.0000 Min. :1.000 Min. :0.00
## 1st Qu.:1.00 1st Qu.:0.0000 1st Qu.:1.000 1st Qu.:5.00
## Median :1.00 Median :1.0000 Median :1.000 Median :5.00
## Mean :1.26 Mean :0.7508 Mean :1.011 Mean :4.51
## 3rd Qu.:1.00 3rd Qu.:1.0000 3rd Qu.:1.000 3rd Qu.:5.00
## Max. :4.00 Max. :2.0000 Max. :2.000 Max. :5.00
##
## birthsize_clean anemia_clean anganwadi_clean residence_cat
## Min. :1.000 Min. :0.0000 Min. :0.00 Min. :1.000
## 1st Qu.:3.000 1st Qu.:1.0000 1st Qu.:0.00 1st Qu.:2.000
## Median :3.000 Median :1.0000 Median :1.00 Median :2.000
## Mean :2.904 Mean :0.8855 Mean :1.64 Mean :1.797
## 3rd Qu.:3.000 3rd Qu.:1.0000 3rd Qu.:2.00 3rd Qu.:2.000
## Max. :6.000 Max. :2.0000 Max. :4.00 Max. :2.000
##
## caste_cat sex_cat motheredu_cat motherlit_cat fatheredu_cat
## Min. :1.00 Min. :1.00 Min. :0.000 Min. :0.000 Min. :0.00
## 1st Qu.:1.00 1st Qu.:1.00 1st Qu.:1.000 1st Qu.:0.000 1st Qu.:5.00
## Median :1.00 Median :1.00 Median :2.000 Median :2.000 Median :5.00
## Mean :1.26 Mean :1.48 Mean :1.654 Mean :1.367 Mean :4.51
## 3rd Qu.:1.00 3rd Qu.:2.00 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:5.00
## Max. :4.00 Max. :2.00 Max. :3.000 Max. :3.000 Max. :5.00
##
## motherocc_cat fatherocc_cat motherage_grp birthint_cat birthord_cat
## Min. :0.000 Min. :1.00 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:8.00 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:1.000
## Median :4.000 Median :8.00 Median :3.000 Median :3.000 Median :2.000
## Mean :3.457 Mean :7.51 Mean :2.851 Mean :2.806 Mean :1.739
## 3rd Qu.:4.000 3rd Qu.:8.00 3rd Qu.:3.000 3rd Qu.:4.000 3rd Qu.:2.000
## Max. :4.000 Max. :8.00 Max. :5.000 Max. :4.000 Max. :3.000
##
## bw_cat bsize_cat delivery_cat bf_cat
## Min. :1.000 Min. :1.000 Min. :1.000 Min. : 1.000
## 1st Qu.:2.000 1st Qu.:3.000 1st Qu.:1.000 1st Qu.: 2.000
## Median :2.000 Median :3.000 Median :1.000 Median : 2.000
## Mean :1.944 Mean :2.904 Mean :1.216 Mean : 5.612
## 3rd Qu.:2.000 3rd Qu.:3.000 3rd Qu.:1.000 3rd Qu.: 2.000
## Max. :3.000 Max. :6.000 Max. :2.000 Max. :98.000
##
## livechild_cat hhsize_cat wealth_cat hhheadsex_cat ppower_cat
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.00
## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:6.00
## Median :2.000 Median :2.000 Median :3.000 Median :1.000 Median :6.00
## Mean :1.741 Mean :2.048 Mean :2.695 Mean :1.152 Mean :5.44
## 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:4.000 3rd Qu.:1.000 3rd Qu.:6.00
## Max. :3.000 Max. :4.000 Max. :5.000 Max. :2.000 Max. :6.00
##
## epower_cat news_cat radio_cat tv_cat
## Min. :1.00 Min. :0.0000 Min. :0.0000 Min. :0.000
## 1st Qu.:5.00 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.000
## Median :5.00 Median :0.0000 Median :0.0000 Median :1.000
## Mean :4.93 Mean :0.3761 Mean :0.1623 Mean :1.134
## 3rd Qu.:5.00 3rd Qu.:1.0000 3rd Qu.:0.0000 3rd Qu.:2.000
## Max. :5.00 Max. :2.0000 Max. :2.0000 Max. :2.000
##
## anc_any pnc_any anm_seen tba_seen
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.00000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.00000
## Median :0.0000 Median :0.0000 Median :1.0000 Median :0.00000
## Mean :0.6456 Mean :0.6414 Mean :0.6544 Mean :0.09056
## 3rd Qu.:2.0000 3rd Qu.:2.0000 3rd Qu.:1.0000 3rd Qu.:0.00000
## Max. :2.0000 Max. :2.0000 Max. :1.0000 Max. :1.00000
##
## supp_any healthedu_any mnp_any med_any
## Min. :0.000 Min. :0.000 Min. :0.0000 Min. :0.0000
## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :1.000 Median :1.000 Median :0.0000 Median :0.0000
## Mean :1.287 Mean :1.199 Mean :0.1277 Mean :0.7562
## 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:0.0000 3rd Qu.:2.0000
## Max. :2.000 Max. :2.000 Max. :2.0000 Max. :2.0000
##
## anc_rec pnc_rec awc_visits icds_benef
## Min. :0.0000 Min. :0.0000 Min. :0.00 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.00 1st Qu.:1.0000
## Median :0.0000 Median :0.0000 Median :1.00 Median :1.0000
## Mean :0.2044 Mean :0.3944 Mean :1.64 Mean :0.7796
## 3rd Qu.:0.0000 3rd Qu.:1.0000 3rd Qu.:2.00 3rd Qu.:1.0000
## Max. :2.0000 Max. :2.0000 Max. :4.00 Max. :1.0000
##
## icds_food_cat region_cat region_cat_nomiss motherlit_cat_nomiss
## Min. :0.000 Min. :1.000 Min. :1.000 Min. :0.000
## 1st Qu.:1.000 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:0.000
## Median :3.000 Median :3.000 Median :2.000 Median :2.000
## Mean :2.965 Mean :3.188 Mean :2.581 Mean :1.358
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:2.000 3rd Qu.:2.000
## Max. :6.000 Max. :7.000 Max. :6.000 Max. :2.000
## NA's :31372 NA's :326
## fatheredu_cat_nomiss caste_cat_nomiss motheragemar_cat fatheragemar_cat
## Min. :0.000 Min. :1.00 Min. :1.000 Min. :1.000
## 1st Qu.:1.000 1st Qu.:1.00 1st Qu.:6.000 1st Qu.:6.000
## Median :2.000 Median :1.00 Median :6.000 Median :6.000
## Mean :1.504 Mean :1.16 Mean :5.981 Mean :5.623
## 3rd Qu.:2.000 3rd Qu.:1.00 3rd Qu.:6.000 3rd Qu.:6.000
## Max. :2.000 Max. :2.00 Max. :6.000 Max. :6.000
## NA's :54333 NA's :3183
## income_cat emo_viol phys_viol sex_viol
## Min. :1.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:6.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :6.000 Median :0.000 Median :0.000 Median :0.000
## Mean :5.307 Mean :0.112 Mean :0.252 Mean :0.051
## 3rd Qu.:6.000 3rd Qu.:0.000 3rd Qu.:1.000 3rd Qu.:0.000
## Max. :6.000 Max. :1.000 Max. :1.000 Max. :1.000
## NA's :54815 NA's :54815 NA's :54815
## any_dv hus_drinks afraid_hus told_anyone _merge
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000 Min. :3
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:1.000 1st Qu.:0.000 1st Qu.:3
## Median :0.000 Median :0.000 Median :2.000 Median :0.000 Median :3
## Mean :0.285 Mean :0.251 Mean :1.452 Mean :0.088 Mean :3
## 3rd Qu.:1.000 3rd Qu.:1.000 3rd Qu.:2.000 3rd Qu.:0.000 3rd Qu.:3
## Max. :1.000 Max. :1.000 Max. :2.000 Max. :1.000 Max. :3
## NA's :54815 NA's :54815 NA's :54815 NA's :60248dim(data)## [1] 62135 1781names(data)## [1] "caseid" "midx"
## [3] "v000" "v001"
## [5] "v002" "v003"
## [7] "v004" "v005"
## [9] "v006" "v007"
## [11] "v008" "v008a"
## [13] "v009" "v010"
## [15] "v011" "mother_age"
## [17] "v013" "v014"
## [19] "v015" "v016"
## [21] "v017" "v018"
## [23] "v019" "v019a"
## [25] "v020" "v021"
## [27] "v022" "v023"
## [29] "state" "residence"
## [31] "v026" "v027"
## [33] "v028" "v029"
## [35] "v030" "v031"
## [37] "v032" "v034"
## [39] "v040" "v042"
## [41] "v044" "v045a"
## [43] "v045b" "v045c"
## [45] "v046" "v101"
## [47] "v102" "v103"
## [49] "v104" "v105"
## [51] "v105a" "mother_edu"
## [53] "v107" "v113"
## [55] "v115" "v116"
## [57] "v119" "v120"
## [59] "v121" "v122"
## [61] "v123" "v124"
## [63] "v125" "v127"
## [65] "v128" "v129"
## [67] "v130" "caste"
## [69] "v133" "v134"
## [71] "v135" "hh_members"
## [73] "v137" "v138"
## [75] "v139" "v140"
## [77] "v141" "v149"
## [79] "v150" "hh_head_sex"
## [81] "v152" "v153"
## [83] "awfactt" "awfactu"
## [85] "awfactr" "awfacte"
## [87] "awfactw" "mother_literacy"
## [89] "v156" "reads_newspaper"
## [91] "listens_radio" "watches_tv"
## [93] "v160" "v161"
## [95] "v166" "v167"
## [97] "v168" "v169a"
## [99] "v169b" "v170"
## [101] "v171a" "v171b"
## [103] "wealth_index" "v191"
## [105] "v190a" "v191a"
## [107] "ml101" "living_children"
## [109] "v202" "v203"
## [111] "v204" "v205"
## [113] "v206" "v207"
## [115] "v208" "v209"
## [117] "v210" "v211"
## [119] "v212" "v213"
## [121] "v214" "v215"
## [123] "v216" "v217"
## [125] "v218" "v219"
## [127] "v220" "v221"
## [129] "v222" "v223"
## [131] "v224" "v225"
## [133] "v226" "v227"
## [135] "v228" "v229"
## [137] "v230" "v231"
## [139] "v232" "v233"
## [141] "v234" "v235"
## [143] "v237" "v238"
## [145] "v239" "v240"
## [147] "v241" "v242"
## [149] "v243" "v244"
## [151] "v310" "v311"
## [153] "v312" "v313"
## [155] "v315" "v316"
## [157] "v317" "v318"
## [159] "v319" "v320"
## [161] "v321" "v322"
## [163] "v323" "v323a"
## [165] "v325a" "v326"
## [167] "v327" "v337"
## [169] "v359" "v360"
## [171] "v361" "v362"
## [173] "v363" "v364"
## [175] "v367" "v372"
## [177] "v372a" "v375a"
## [179] "v376" "v376a"
## [181] "v379" "v380"
## [183] "v384a" "v384b"
## [185] "v384c" "v384d"
## [187] "v393" "v393a"
## [189] "v394" "v395"
## [191] "v3a00a" "v3a00b"
## [193] "v3a00c" "v3a00d"
## [195] "v3a00e" "v3a00f"
## [197] "v3a00g" "v3a00h"
## [199] "v3a00i" "v3a00j"
## [201] "v3a00k" "v3a00l"
## [203] "v3a00m" "v3a00n"
## [205] "v3a00o" "v3a00p"
## [207] "v3a00q" "v3a00r"
## [209] "v3a00s" "v3a00t"
## [211] "v3a00u" "v3a00v"
## [213] "v3a00w" "v3a00x"
## [215] "v3a00y" "v3a00z"
## [217] "v3a01" "v3a02"
## [219] "v3a03" "v3a04"
## [221] "v3a05" "v3a06"
## [223] "v3a07" "v3a08a"
## [225] "v3a08b" "v3a08c"
## [227] "v3a08d" "v3a08e"
## [229] "v3a08f" "v3a08g"
## [231] "v3a08h" "v3a08i"
## [233] "v3a08j" "v3a08k"
## [235] "v3a08l" "v3a08m"
## [237] "v3a08n" "v3a08o"
## [239] "v3a08p" "v3a08q"
## [241] "v3a08r" "v3a08s"
## [243] "v3a08t" "v3a08u"
## [245] "v3a08v" "v3a08w"
## [247] "v3a08aa" "v3a08ab"
## [249] "v3a08ac" "v3a08ad"
## [251] "v3a08x" "v3a08z"
## [253] "v3a09a" "v3a09b"
## [255] "v401" "v404"
## [257] "v405" "v406"
## [259] "v407" "v408"
## [261] "v409" "v409a"
## [263] "juice" "v410a"
## [265] "milk" "baby_formula"
## [267] "v412" "v412a"
## [269] "v412b" "soup"
## [271] "liquid" "v413a"
## [273] "v413b" "v413c"
## [275] "v413d" "meat"
## [277] "v414b" "v414c"
## [279] "v414d" "grains"
## [281] "tubers" "egg"
## [283] "v414h" "yellow_veg"
## [285] "green_veg" "v414k"
## [287] "fruits" "organs"
## [289] "fish" "legumes"
## [291] "milk_products" "v414q"
## [293] "v414r" "v414s"
## [295] "v414t" "v414u"
## [297] "v414v" "v414w"
## [299] "v415" "v416"
## [301] "v417" "v418"
## [303] "v418a" "v419"
## [305] "v420" "v421"
## [307] "v426" "v437"
## [309] "v438" "v439"
## [311] "v440" "v441"
## [313] "v442" "v443"
## [315] "v444" "v444a"
## [317] "v445" "v446"
## [319] "v447" "v447a"
## [321] "v452a" "v452b"
## [323] "v452c" "v453"
## [325] "v454" "v455"
## [327] "v456" "v457"
## [329] "v458" "v459"
## [331] "v460" "v461"
## [333] "v462" "v463a"
## [335] "v463b" "v463c"
## [337] "v463d" "v463e"
## [339] "v463f" "v463g"
## [341] "v463h" "v463i"
## [343] "v463j" "v463k"
## [345] "v463l" "v463x"
## [347] "v463z" "v463aa"
## [349] "v463ab" "v464"
## [351] "v465" "v466"
## [353] "v467a" "v467b"
## [355] "v467c" "v467d"
## [357] "v467e" "v467f"
## [359] "v467g" "v467h"
## [361] "v467i" "v467j"
## [363] "v467k" "v467l"
## [365] "v467m" "v468"
## [367] "v469e" "v469f"
## [369] "v469x" "v471a"
## [371] "v471b" "v471c"
## [373] "v471d" "v471e"
## [375] "v471f" "v471g"
## [377] "v472a" "v472b"
## [379] "v472c" "v472d"
## [381] "v472e" "v472f"
## [383] "v472g" "v472h"
## [385] "v472i" "v472j"
## [387] "v472k" "v472l"
## [389] "v472m" "v472n"
## [391] "v472o" "v472p"
## [393] "v472q" "v472r"
## [395] "v472s" "v472t"
## [397] "v472u" "v473a"
## [399] "v473b" "v474"
## [401] "v474a" "v474b"
## [403] "v474c" "v474d"
## [405] "v474e" "v474f"
## [407] "v474g" "v474h"
## [409] "v474i" "v474j"
## [411] "v474x" "v474z"
## [413] "v475" "v476"
## [415] "v477" "v478"
## [417] "v479" "v480"
## [419] "v481" "v481a"
## [421] "v481b" "v481c"
## [423] "v481d" "v481e"
## [425] "v481f" "v481g"
## [427] "v481h" "v481x"
## [429] "v482a" "v482b"
## [431] "v482c" "marital_status_mother"
## [433] "v502" "v503"
## [435] "v504" "v505"
## [437] "v506" "v507"
## [439] "v508" "v509"
## [441] "v510" "v511"
## [443] "v512" "v513"
## [445] "v525" "v527"
## [447] "v528" "v529"
## [449] "v530" "v531"
## [451] "v532" "v535"
## [453] "v536" "v537"
## [455] "v538" "v539"
## [457] "v540" "v541"
## [459] "v602" "v603"
## [461] "v604" "v605"
## [463] "v613" "v614"
## [465] "v616" "v621"
## [467] "v623" "v624"
## [469] "v625" "v626"
## [471] "v625a" "v626a"
## [473] "v627" "v628"
## [475] "v629" "v631"
## [477] "v632" "v632a"
## [479] "v633a" "v633b"
## [481] "v633c" "v633d"
## [483] "v633e" "v633f"
## [485] "v633g" "v634"
## [487] "father_edu" "v702"
## [489] "v704" "v704a"
## [491] "father_occupation" "v714"
## [493] "v714a" "v715"
## [495] "income_source" "mother_occupation"
## [497] "v719" "v721"
## [499] "v729" "father_age_marriage"
## [501] "v731" "v732"
## [503] "earning_power" "v740"
## [505] "v741" "v743a"
## [507] "purchase_power" "v743c"
## [509] "v743d" "v743e"
## [511] "v743f" "v744a"
## [513] "v744b" "v744c"
## [515] "v744d" "v744e"
## [517] "v745a" "v745b"
## [519] "v745c" "v745d"
## [521] "v746" "bidx"
## [523] "birth_order" "b0"
## [525] "b1" "b2"
## [527] "b3" "sex_child"
## [529] "b5" "b6"
## [531] "b7" "b8"
## [533] "b9" "b10"
## [535] "birth_interval" "b12"
## [537] "b13" "b15"
## [539] "b16" "b17"
## [541] "b18" "b19"
## [543] "b20" "m1"
## [545] "m1a" "m1b"
## [547] "m1c" "m1d"
## [549] "m1e" "m2a"
## [551] "m2b" "m2c"
## [553] "m2d" "m2e"
## [555] "m2f" "m2g"
## [557] "m2h" "received_anc"
## [559] "m2j" "m2k"
## [561] "m2l" "m2m"
## [563] "m2n" "m3a"
## [565] "seen_by_anm" "m3c"
## [567] "m3d" "m3e"
## [569] "m3f" "seen_by_tba"
## [571] "m3h" "m3i"
## [573] "m3j" "m3k"
## [575] "m3l" "m3m"
## [577] "m3n" "breastfeeding"
## [579] "m5" "m6"
## [581] "m7" "m8"
## [583] "m9" "m10"
## [585] "m11" "m13"
## [587] "m14" "m15"
## [589] "delivery_type" "m17a"
## [591] "birth_size" "birth_weight"
## [593] "m19a" "m27"
## [595] "m28" "m29"
## [597] "m34" "m35"
## [599] "m36" "m38"
## [601] "cf_practice" "meal_count"
## [603] "m42a" "m42b"
## [605] "m42c" "m42d"
## [607] "m42e" "m43"
## [609] "m44" "m45"
## [611] "m46" "m47"
## [613] "m48" "m49a"
## [615] "m49b" "m49c"
## [617] "m49d" "m49e"
## [619] "m49f" "m49g"
## [621] "m49x" "m49z"
## [623] "m49y" "m54"
## [625] "m55" "m55a"
## [627] "m55b" "m55c"
## [629] "m55d" "m55e"
## [631] "m55f" "m55g"
## [633] "m55h" "m55i"
## [635] "m55j" "m55k"
## [637] "m55l" "m55m"
## [639] "m55n" "m55o"
## [641] "m55x" "m55z"
## [643] "m57a" "m57b"
## [645] "m57c" "m57d"
## [647] "m57e" "m57f"
## [649] "m57g" "m57h"
## [651] "m57i" "m57j"
## [653] "received_pnc" "m57l"
## [655] "m57m" "m57n"
## [657] "m57o" "m57p"
## [659] "m57q" "m57r"
## [661] "m57s" "m57t"
## [663] "m57u" "m57v"
## [665] "m57x" "m60"
## [667] "m61" "m62"
## [669] "m63" "m64"
## [671] "m65a" "m65b"
## [673] "m65c" "m65d"
## [675] "m65e" "m65f"
## [677] "m65g" "m65h"
## [679] "m65i" "m65j"
## [681] "m65k" "m65l"
## [683] "m65x" "m66"
## [685] "m67" "m68"
## [687] "m69" "m70"
## [689] "m71" "m72"
## [691] "m73" "m74"
## [693] "m75" "m76"
## [695] "m77" "m78a"
## [697] "m78b" "m78c"
## [699] "m78d" "m78e"
## [701] "m78f" "m78g"
## [703] "m78h" "m78i"
## [705] "m78j" "hidx"
## [707] "h1" "h1a"
## [709] "h2" "h2d"
## [711] "h2m" "h2y"
## [713] "h3" "h3d"
## [715] "h3m" "h3y"
## [717] "h4" "h4d"
## [719] "h4m" "h4y"
## [721] "h5" "h5d"
## [723] "h5m" "h5y"
## [725] "h6" "h6d"
## [727] "h6m" "h6y"
## [729] "h7" "h7d"
## [731] "h7m" "h7y"
## [733] "h8" "h8d"
## [735] "h8m" "h8y"
## [737] "h9" "h9d"
## [739] "h9m" "h9y"
## [741] "h9a" "h9ad"
## [743] "h9am" "h9ay"
## [745] "h0" "h0d"
## [747] "h0m" "h0y"
## [749] "h10" "h33"
## [751] "h33d" "h33m"
## [753] "h33y" "h35"
## [755] "h36a" "h36b"
## [757] "h36c" "h36d"
## [759] "h36e" "h36f"
## [761] "h40" "h40d"
## [763] "h40m" "h40y"
## [765] "h41a" "h41b"
## [767] "h50" "h50d"
## [769] "h50m" "h50y"
## [771] "h51" "h51d"
## [773] "h51m" "h51y"
## [775] "h52" "h52d"
## [777] "h52m" "h52y"
## [779] "h53" "h53d"
## [781] "h53m" "h53y"
## [783] "h54" "h54d"
## [785] "h54m" "h54y"
## [787] "h55" "h55d"
## [789] "h55m" "h55y"
## [791] "h56" "h56d"
## [793] "h56m" "h56y"
## [795] "h57" "h57d"
## [797] "h57m" "h57y"
## [799] "h58" "h58d"
## [801] "h58m" "h58y"
## [803] "h59" "h59d"
## [805] "h59m" "h59y"
## [807] "h60" "h60d"
## [809] "h60m" "h60y"
## [811] "h61" "h61d"
## [813] "h61m" "h61y"
## [815] "h62" "h62d"
## [817] "h62m" "h62y"
## [819] "h63" "h63d"
## [821] "h63m" "h63y"
## [823] "h64" "h64d"
## [825] "h64m" "h64y"
## [827] "h65" "h65d"
## [829] "h65m" "h65y"
## [831] "h66" "h66d"
## [833] "h66m" "h66y"
## [835] "h80a" "h80b"
## [837] "h80c" "h80d"
## [839] "h80e" "h80f"
## [841] "h80g" "hidxa"
## [843] "h11" "h11b"
## [845] "h12a" "h12b"
## [847] "h12c" "h12d"
## [849] "h12e" "h12f"
## [851] "h12g" "h12h"
## [853] "h12i" "h12j"
## [855] "h12k" "h12l"
## [857] "h12m" "h12n"
## [859] "h12o" "h12p"
## [861] "h12q" "h12r"
## [863] "h12s" "h12t"
## [865] "h12u" "h12v"
## [867] "h12w" "h12x"
## [869] "h12y" "h12z"
## [871] "h13" "h13b"
## [873] "h14" "h15"
## [875] "h15a" "h15b"
## [877] "h15c" "h15d"
## [879] "h15e" "h15f"
## [881] "h15g" "h15h"
## [883] "h15i" "h15j"
## [885] "h15k" "h15l"
## [887] "h15m" "h20"
## [889] "h21a" "h21"
## [891] "h22" "h31"
## [893] "h31b" "h31c"
## [895] "h31d" "h31e"
## [897] "h32a" "h32b"
## [899] "h32c" "h32d"
## [901] "h32e" "h32f"
## [903] "h32g" "h32h"
## [905] "h32i" "h32j"
## [907] "h32k" "h32l"
## [909] "h32m" "h32n"
## [911] "h32o" "h32p"
## [913] "h32q" "h32r"
## [915] "h32s" "h32t"
## [917] "h32u" "h32v"
## [919] "h32w" "h32x"
## [921] "h32y" "h32z"
## [923] "h34" "h37a"
## [925] "h37b" "h37c"
## [927] "h37d" "h37da"
## [929] "h37e" "h37aa"
## [931] "h37ab" "h37f"
## [933] "h37g" "h37h"
## [935] "h37i" "h37j"
## [937] "h37k" "h37l"
## [939] "h37m" "h37n"
## [941] "h37o" "h37p"
## [943] "h37x" "h37y"
## [945] "h37z" "h38"
## [947] "h39" "h42"
## [949] "h43" "h44a"
## [951] "h44b" "h44c"
## [953] "h45" "h46a"
## [955] "h46b" "h47"
## [957] "hwidx" "age_child_months"
## [959] "hw2" "hw3"
## [961] "hw4" "hw5"
## [963] "hw6" "hw7"
## [965] "hw8" "hw9"
## [967] "hw10" "hw11"
## [969] "hw12" "hw13"
## [971] "hw15" "hw16"
## [973] "hw17" "hw18"
## [975] "hw19" "hw51"
## [977] "hw52" "hw53"
## [979] "hw55" "hw56"
## [981] "anemia" "hw58"
## [983] "stunting" "hw71"
## [985] "wasting" "overweight"
## [987] "idxml" "ml0"
## [989] "ml1" "ml2"
## [991] "ml11" "ml12"
## [993] "ml13a" "ml13b"
## [995] "ml13c" "ml13d"
## [997] "ml13da" "ml13e"
## [999] "ml13aa" "ml13ab"
## [1001] "ml13f" "ml13g"
## [1003] "ml13h" "ml13i"
## [1005] "ml13j" "ml13k"
## [1007] "ml13l" "ml13m"
## [1009] "ml13n" "ml13o"
## [1011] "ml13p" "ml13x"
## [1013] "ml13y" "ml13z"
## [1015] "ml14a" "ml14b"
## [1017] "ml14y" "ml14z"
## [1019] "ml15a" "ml15b"
## [1021] "ml15c" "ml16a"
## [1023] "ml16b" "ml16c"
## [1025] "ml17a" "ml17b"
## [1027] "ml17c" "ml18a"
## [1029] "ml18b" "ml18c"
## [1031] "ml19a" "ml19b"
## [1033] "ml19c" "ml19d"
## [1035] "ml19e" "ml19f"
## [1037] "ml19x" "ml19y"
## [1039] "ml19z" "ml20a"
## [1041] "ml20b" "ml20c"
## [1043] "ml21a" "ml21b"
## [1045] "ml21c" "ml22a"
## [1047] "ml22b" "ml22c"
## [1049] "ml23a" "ml23b"
## [1051] "ml23c" "ml24c"
## [1053] "ml25a" "ssmod"
## [1055] "sdist" "sphase"
## [1057] "sweight" "sdweight"
## [1059] "s113" "s116"
## [1061] "s234" "s235"
## [1063] "s236" "s238"
## [1065] "s239" "s240"
## [1067] "s241" "s242"
## [1069] "s243" "s244"
## [1071] "s244a" "s244b"
## [1073] "s245a" "s245b"
## [1075] "s245c" "s245d"
## [1077] "s245e" "s245f"
## [1079] "s245g" "s245h"
## [1081] "s245x" "s253"
## [1083] "s254" "s255"
## [1085] "s256a" "s256b"
## [1087] "s256c" "s256d"
## [1089] "s256e" "s256f"
## [1091] "s256g" "s256x"
## [1093] "s259" "s260a"
## [1095] "s260b" "s260c"
## [1097] "s260d" "s260e"
## [1099] "s260f" "s260x"
## [1101] "s264" "s265"
## [1103] "s301" "s303"
## [1105] "s308m" "s308y"
## [1107] "s308c" "mother_age_marriage"
## [1109] "s310" "s311"
## [1111] "s314c" "s315"
## [1113] "s321a" "s321b"
## [1115] "s321c" "s321d"
## [1117] "s321e" "s321f"
## [1119] "s321g" "s321h"
## [1121] "s321i" "s321j"
## [1123] "s321k" "s321l"
## [1125] "s321m" "s321n"
## [1127] "s321x" "s321y"
## [1129] "s323" "s324a"
## [1131] "s324b" "s324c"
## [1133] "s324d" "s324e"
## [1135] "s324f" "s324g"
## [1137] "s324h" "s324i"
## [1139] "s324j" "s324k"
## [1141] "s324l" "s324m"
## [1143] "s324n" "s324o"
## [1145] "s324p" "s324q"
## [1147] "s324r" "s324s"
## [1149] "s324t" "s324u"
## [1151] "s324v" "s324w"
## [1153] "s324x" "s324aa"
## [1155] "s324ab" "s324ac"
## [1157] "s324ad" "s324ae"
## [1159] "s324af" "s324ag"
## [1161] "s324ba" "s324bb"
## [1163] "s324bc" "s324bd"
## [1165] "s324be" "s324bf"
## [1167] "s324bg" "s329"
## [1169] "s334" "s335"
## [1171] "s336" "s337"
## [1173] "s338" "s340"
## [1175] "s341" "s342"
## [1177] "s354a" "s354b"
## [1179] "s356" "s358w"
## [1181] "s358x" "s358aa"
## [1183] "s358ab" "s358ac"
## [1185] "s358ad" "s358ae"
## [1187] "s358af" "s358ag"
## [1189] "s358ba" "s358bb"
## [1191] "s358bc" "s358bd"
## [1193] "s358be" "s358bf"
## [1195] "s358bg" "s359"
## [1197] "s360a" "s360b"
## [1199] "s360c" "s360d"
## [1201] "s361" "s362a"
## [1203] "s362b" "s362c"
## [1205] "s362x" "s363a"
## [1207] "s363b" "s363c"
## [1209] "s363d" "s365a"
## [1211] "s365b" "s365c"
## [1213] "s365d" "s365e"
## [1215] "s365f" "s365g"
## [1217] "s365h" "s365i"
## [1219] "s365j" "s365k"
## [1221] "s365l" "s365m"
## [1223] "s365n" "s365o"
## [1225] "s365p" "s365q"
## [1227] "s365r" "s365s"
## [1229] "s365x" "s366"
## [1231] "s368" "s369"
## [1233] "s369a" "s369b"
## [1235] "s370a" "s370b"
## [1237] "anc_visits" "s370d"
## [1239] "pnc_visits" "s370f"
## [1241] "s370g" "child_medical_treatment"
## [1243] "s370i" "s370j"
## [1245] "s370k" "s370l"
## [1247] "s370x" "s617d"
## [1249] "s617e" "s704"
## [1251] "s707" "s708"
## [1253] "s709" "s710"
## [1255] "s711" "s712e"
## [1257] "s712f" "s713"
## [1259] "s714" "s716"
## [1261] "s717" "s718"
## [1263] "s719" "s720"
## [1265] "s721" "s722a"
## [1267] "s722b" "s722c"
## [1269] "s722d" "s722e"
## [1271] "s722x" "s723"
## [1273] "s728a" "s728ab"
## [1275] "s728b" "s728bb"
## [1277] "s728c" "s728cb"
## [1279] "s728d" "s728db"
## [1281] "s728e" "s728eb"
## [1283] "s728f" "s728fb"
## [1285] "s728g" "s728gb"
## [1287] "milk_or_curd" "pulse_or_beans"
## [1289] "green_leafy_veg" "fruit"
## [1291] "eggs" "fishes"
## [1293] "chicken_or_meat" "fried_food"
## [1295] "aerated_drink" "s821i"
## [1297] "s821j" "s821k"
## [1299] "s821l" "s821aa"
## [1301] "s821ab" "s821ac"
## [1303] "s821ad" "s821ae"
## [1305] "s821af" "s821ag"
## [1307] "s821ba" "s821bb"
## [1309] "s821bc" "s821bd"
## [1311] "s821be" "s821bf"
## [1313] "s821bg" "s824"
## [1315] "s824a" "s824b"
## [1317] "s909" "s910"
## [1319] "s920" "s929"
## [1321] "s930a" "s930b"
## [1323] "s930c" "s931"
## [1325] "s932" "s933"
## [1327] "s934" "s937"
## [1329] "s940" "s941"
## [1331] "s943f" "s943g"
## [1333] "s944" "s945"
## [1335] "s947" "s1004a"
## [1337] "s1004b" "s1004c"
## [1339] "s1004d" "s1004e"
## [1341] "s1004f" "s1004g"
## [1343] "s1004h" "s1004i"
## [1345] "s1004j" "s1004k"
## [1347] "s1004l" "s1004m"
## [1349] "s1004n" "s1004o"
## [1351] "s1004p" "s1004x"
## [1353] "s1008" "s1009"
## [1355] "s1011" "s1012a"
## [1357] "s1012b" "s1012c"
## [1359] "s1012d" "s1012e"
## [1361] "s1012f" "s1012g"
## [1363] "s1012h" "s1012i"
## [1365] "s1012j" "s1012k"
## [1367] "s1012l" "s1012m"
## [1369] "s1012n" "s1012o"
## [1371] "s1012p" "s1012wx"
## [1373] "s1012z" "s1040"
## [1375] "s1042" "s1046"
## [1377] "s1047" "s1056aa"
## [1379] "s1056ab" "s1056ac"
## [1381] "s1056ad" "s1056ae"
## [1383] "s1056af" "s1056ag"
## [1385] "s1056ba" "s1056bb"
## [1387] "s1056bc" "s1056bd"
## [1389] "s1056be" "s1056bf"
## [1391] "s1056bg" "s1136a"
## [1393] "s1136b" "s1136c"
## [1395] "s1136d" "s1136e"
## [1397] "s1136f" "s1136g"
## [1399] "s1136h" "s1136i"
## [1401] "s1136j" "s1136k"
## [1403] "s1136l" "s1136m"
## [1405] "s1136n" "s1136o"
## [1407] "s1136p" "s1136q"
## [1409] "s1136r" "s1136s"
## [1411] "s1136t" "s1136u"
## [1413] "s1136v" "s1136x"
## [1415] "s1136aa" "s1136ab"
## [1417] "s1136ac" "s1136ad"
## [1419] "s1136ae" "s1136af"
## [1421] "s1136ag" "s1136ba"
## [1423] "s1136bb" "s1136bc"
## [1425] "s1136bd" "s1136be"
## [1427] "s1136bf" "s1136bg"
## [1429] "sb14a" "sb14b"
## [1431] "sb14c" "sb14d"
## [1433] "sb15" "sb16"
## [1435] "sb17" "sb18s"
## [1437] "sb18d" "sb19"
## [1439] "sb20" "sb21"
## [1441] "sb24" "sb25s"
## [1443] "sb25d" "sb28"
## [1445] "sb29s" "sb29d"
## [1447] "sb53" "sb54"
## [1449] "sb55" "sb56"
## [1451] "sb57" "sb73"
## [1453] "sb74" "sb79"
## [1455] "sb80" "sb81"
## [1457] "s305" "s306"
## [1459] "s190s" "s191s"
## [1461] "s190us" "s191us"
## [1463] "s190rs" "s191rs"
## [1465] "sh29ca" "screfuse"
## [1467] "idx92" "s220a"
## [1469] "s220b" "idx94"
## [1471] "s408" "s409"
## [1473] "s410" "s411"
## [1475] "s412" "s413"
## [1477] "s414" "s419e"
## [1479] "s420a" "s420b"
## [1481] "s420c" "s420d"
## [1483] "s420e" "s422"
## [1485] "s432" "s434"
## [1487] "s435" "s436"
## [1489] "s437" "s438"
## [1491] "s439" "s440a"
## [1493] "s440b" "s440c"
## [1495] "s440d" "s440e"
## [1497] "s441" "s442"
## [1499] "s443" "s449"
## [1501] "s450a" "s450b"
## [1503] "s450c" "s450d"
## [1505] "s450e" "s450f"
## [1507] "s450g" "s450h"
## [1509] "s450i" "s450j"
## [1511] "s450k" "s450l"
## [1513] "s450m" "s450x"
## [1515] "s451" "s452a"
## [1517] "s452b" "s452c"
## [1519] "s452d" "s454"
## [1521] "s456a" "s456b"
## [1523] "s456c" "s456d"
## [1525] "s456e" "s456x"
## [1527] "s457" "s458a"
## [1529] "s458b" "s458x"
## [1531] "s459" "s460"
## [1533] "s464" "s465"
## [1535] "s470" "s471"
## [1537] "s472" "s473"
## [1539] "s474" "s475"
## [1541] "s476" "s477"
## [1543] "s478" "s479"
## [1545] "s480" "s481"
## [1547] "s483a" "s483b"
## [1549] "s483c" "s486"
## [1551] "s493a" "s493b"
## [1553] "s494a" "s494b"
## [1555] "s494c" "s494d"
## [1557] "s494e" "idx95"
## [1559] "flpv1" "flpv1d"
## [1561] "flpv1m" "flpv1y"
## [1563] "flpv2" "flpv2d"
## [1565] "flpv2m" "flpv2y"
## [1567] "je1" "je1d"
## [1569] "je1m" "je1y"
## [1571] "je2" "je2d"
## [1573] "je2m" "je2y"
## [1575] "mcv1d" "mcv1m"
## [1577] "mcv1y" "mcv2d"
## [1579] "mcv2m" "mcv2y"
## [1581] "dptb" "dptbd"
## [1583] "dptbm" "dptby"
## [1585] "s513s" "s513t"
## [1587] "s515" "s515a"
## [1589] "s515b" "idx96"
## [1591] "s521k" "s521aa"
## [1593] "s521ab" "s521ac"
## [1595] "s521ad" "s521ae"
## [1597] "s521af" "s521ag"
## [1599] "s521ba" "s521bb"
## [1601] "s521bc" "s521bd"
## [1603] "s521be" "s521bf"
## [1605] "s521bg" "s523a"
## [1607] "s523b" "micronutrient_powder"
## [1609] "s526b" "s526c"
## [1611] "s539j" "s539k"
## [1613] "s539aa" "s539ab"
## [1615] "s539ac" "s539ad"
## [1617] "s539ae" "s539af"
## [1619] "s539ag" "s539ba"
## [1621] "s539bb" "s539bc"
## [1623] "s539bd" "s539be"
## [1625] "s539bf" "s539bg"
## [1627] "s541a" "s541b"
## [1629] "idx98" "icds_benefits"
## [1631] "icds_food" "s560"
## [1633] "s561" "anganwadi_visits"
## [1635] "s563" "s564"
## [1637] "s565" "s566a"
## [1639] "s566b" "s566c"
## [1641] "s567" "received_supplements"
## [1643] "s568b" "received_health_ed"
## [1645] "weight" "breastfed"
## [1647] "age_group" "juice_recode"
## [1649] "milk_recode" "soup_recode"
## [1651] "liquid_recode" "meat_recode"
## [1653] "grains_recode" "tubers_recode"
## [1655] "egg_recode" "yellow_veg_recode"
## [1657] "green_veg_recode" "fruits_recode"
## [1659] "organs_recode" "fish_recode"
## [1661] "legumes_recode" "milk_products_recode"
## [1663] "mdd_grains_roots" "mdd_legumes_nuts"
## [1665] "mdd_dairy" "mdd_flesh"
## [1667] "mdd_egg" "mdd_vita"
## [1669] "mdd_otherfv" "baby_formula_recoded"
## [1671] "breastfed_child" "nonbreastfed_child"
## [1673] "mdd_score_bf" "mdd_bf"
## [1675] "mdd_dairy_formula" "mdd_score_nbf"
## [1677] "mdd_nbf" "mdd"
## [1679] "age_recode" "milk_or_curd_bin"
## [1681] "pulse_or_beans_bin" "green_leafy_veg_bin"
## [1683] "fruit_bin" "eggs_bin"
## [1685] "fishes_bin" "chicken_or_meat_bin"
## [1687] "fried_food_bin" "aerated_drink_bin"
## [1689] "meal_count_proxy" "total_solid_feeds"
## [1691] "total_all_feeds" "meal_binary"
## [1693] "solid_recode" "mmf"
## [1695] "mad_nbf" "meal_count_bin"
## [1697] "caseid_1" "mad_bf"
## [1699] "mad" "mmf_bf"
## [1701] "mmf_nonbf" "meal_count_clean"
## [1703] "mmf_1" "milk_feed"
## [1705] "solid_feed" "total_feeds"
## [1707] "wt" "meal_count_recode"
## [1709] "mmf_bf_1" "mmf_bf_2"
## [1711] "mmf_nbf_2" "formula"
## [1713] "food_groups_nbf" "food_groups_bf"
## [1715] "mdd_bf_1" "mdd_nbf_1"
## [1717] "mad_bf_1" "milk_feeds_2"
## [1719] "mad_nbf_1" "dairy_total_nbf"
## [1721] "mad_nbf_2" "caste_clean"
## [1723] "mother_lit_clean" "marital_status_clean"
## [1725] "fatheredu_clean" "birthsize_clean"
## [1727] "anemia_clean" "anganwadi_clean"
## [1729] "residence_cat" "caste_cat"
## [1731] "sex_cat" "motheredu_cat"
## [1733] "motherlit_cat" "fatheredu_cat"
## [1735] "motherocc_cat" "fatherocc_cat"
## [1737] "motherage_grp" "birthint_cat"
## [1739] "birthord_cat" "bw_cat"
## [1741] "bsize_cat" "delivery_cat"
## [1743] "bf_cat" "livechild_cat"
## [1745] "hhsize_cat" "wealth_cat"
## [1747] "hhheadsex_cat" "ppower_cat"
## [1749] "epower_cat" "news_cat"
## [1751] "radio_cat" "tv_cat"
## [1753] "anc_any" "pnc_any"
## [1755] "anm_seen" "tba_seen"
## [1757] "supp_any" "healthedu_any"
## [1759] "mnp_any" "med_any"
## [1761] "anc_rec" "pnc_rec"
## [1763] "awc_visits" "icds_benef"
## [1765] "icds_food_cat" "region_cat"
## [1767] "region_cat_nomiss" "motherlit_cat_nomiss"
## [1769] "fatheredu_cat_nomiss" "caste_cat_nomiss"
## [1771] "motheragemar_cat" "fatheragemar_cat"
## [1773] "income_cat" "emo_viol"
## [1775] "phys_viol" "sex_viol"
## [1777] "any_dv" "hus_drinks"
## [1779] "afraid_hus" "told_anyone"
## [1781] "_merge"head(data)## # A tibble: 6 × 1,781
## caseid midx v000 v001 v002 v003 v004 v005 v006 v007 v008 v008a
## <chr> <dbl> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 " 0100100… 1 IA7 101 56 2 101 379628 9 2019 1437 43719
## 2 " 0100100… 1 IA7 101 85 2 101 379628 9 2019 1437 43721
## 3 " 0100100… 1 IA7 102 14 2 102 220211 11 2019 1439 43794
## 4 " 0100100… 1 IA7 102 70 2 102 220211 11 2019 1439 43793
## 5 " 0100100… 1 IA7 102 79 4 102 220211 11 2019 1439 43793
## 6 " 0100100… 1 IA7 103 7 4 103 340045 12 2019 1440 43800
## # ℹ 1,769 more variables: v009 <dbl>, v010 <dbl>, v011 <dbl>, mother_age <dbl>,
## # v013 <dbl>, v014 <dbl>, v015 <dbl>, v016 <dbl>, v017 <dbl>, v018 <dbl>,
## # v019 <dbl>, v019a <dbl>, v020 <dbl>, v021 <dbl>, v022 <dbl>, v023 <dbl>,
## # state <dbl>, residence <dbl>, v026 <dbl>, v027 <dbl>, v028 <dbl>,
## # v029 <dbl>, v030 <dbl>, v031 <dbl>, v032 <dbl>, v034 <dbl>, v040 <dbl>,
## # v042 <dbl>, v044 <dbl>, v045a <dbl>, v045b <dbl>, v045c <dbl>, v046 <dbl>,
## # v101 <dbl>, v102 <dbl>, v103 <dbl>, v104 <dbl>, v105 <dbl>, v105a <dbl>, …Figure 1: Distribution of Child Age
ggplot(data, aes(x = age_child_months)) +
geom_histogram(
binwidth = 2,
fill = "steelblue",
color = "white"
) +
labs(
title = "Distribution of Child Age (Months)",
x = "Age (Months)",
y = "Number of Children"
) +
theme_minimal()
Interpretation
The histogram illustrates the distribution of children by age in months. Understanding the age profile of the study population is important because complementary feeding recommendations vary across different age groups during early childhood.
Figure 2: Distribution of Child Sex
gender <- data %>%
count(sex_child)
ggplot(gender, aes(x = sex_child, y = n)) +
geom_col(fill = "steelblue") +
geom_text(aes(label = n), vjust = -0.3) +
labs(
title = "Distribution of Child Sex",
x = "Child Sex",
y = "Frequency"
) +
theme_minimal()
Interpretation
This bar chart presents the distribution of male and female children included in the study. Displaying the sex composition of the sample provides important demographic context before examining complementary feeding practices and nutritional outcomes.
Summary
The first two visualizations summarize the demographic profile of the study population. These descriptive figures provide a foundation for exploring maternal characteristics, complementary feeding practices, and child health indicators in the following sections.
Figure 3: Mother’s Education
edu <- data %>%
count(mother_edu)
ggplot(edu, aes(x = mother_edu, y = n)) +
geom_col(fill = "steelblue") +
geom_text(aes(label = n), vjust = -0.3) +
labs(
title = "Distribution of Mother's Education",
x = "Mother's Education",
y = "Frequency"
) +
theme_minimal()
Interpretation
This figure illustrates the educational attainment of mothers in the study population. Maternal education is an important determinant of infant and young child feeding practices, as higher educational levels are generally associated with improved health knowledge and childcare practices. # Figure 4: Household Wealth Index
wealth <- data %>%
count(wealth_index)
ggplot(wealth, aes(x = wealth_index, y = n)) +
geom_col(fill = "steelblue") +
geom_text(aes(label = n), vjust = -0.3) +
labs(
title = "Distribution of Household Wealth Index",
x = "Wealth Index",
y = "Frequency"
) +
theme_minimal()
Interpretation
The wealth index represents the socioeconomic status of households. This visualization shows the distribution of participants across wealth categories, providing insight into the economic background of the study population.
Figure 5: Complementary Feeding Practice
cf <- data %>%
count(cf_practice)
ggplot(cf, aes(x = cf_practice, y = n)) +
geom_col(fill = "steelblue") +
geom_text(aes(label = n), vjust = -0.3) +
labs(
title = "Distribution of Complementary Feeding Practice",
x = "Complementary Feeding Practice",
y = "Frequency"
) +
theme_minimal()
Interpretation
This figure summarizes the distribution of complementary feeding practices among children aged 6–23 months. Appropriate complementary feeding is essential for ensuring adequate nutrient intake, healthy growth, and development during early childhood.
Summary of Part 2
The visualizations presented in this section describe important socioeconomic characteristics and complementary feeding practices of the study population. These variables provide valuable context for interpreting child nutrition and health outcomes in subsequent analyses.
Figure 6: Delivery Type
delivery <- data %>%
count(delivery_type)
ggplot(delivery, aes(x = delivery_type, y = n)) +
geom_col(fill = "darkorange") +
geom_text(aes(label = n), vjust = -0.3) +
labs(
title = "Distribution of Delivery Type",
x = "Delivery Type",
y = "Number of Children"
) +
theme_minimal()
Interpretation
This figure illustrates the distribution of delivery types among the study participants. Delivery type is an important maternal and child health characteristic that may influence early infant feeding practices and subsequent health outcomes. ### Interpretation
This figure illustrates the distribution of delivery types among children included in the study. Delivery type provides important information about maternal and child health and may influence early infant feeding practices and subsequent health outcomes.
Figure 7: Distribution of Birth Weight
birthwt <- data %>%
mutate(birth_weight = as.numeric(birth_weight))
ggplot(birthwt, aes(x = birth_weight)) +
geom_histogram(
bins = 25,
fill = "forestgreen",
color = "white"
) +
labs(
title = "Distribution of Birth Weight",
x = "Birth Weight",
y = "Frequency"
) +
theme_minimal()
Interpretation
Birth weight is an important indicator of newborn health and future nutritional outcomes. This histogram summarizes the distribution of birth weight among children included in the study population.
Figure 8: Interactive Distribution of Household Wealth Index
wealth_plot <- data %>%
count(wealth_index)
p <- ggplot(
wealth_plot,
aes(
x = wealth_index,
y = n,
fill = wealth_index,
text = paste(
"Wealth Index:", wealth_index,
"<br>Frequency:", n
)
)
) +
geom_col(show.legend = FALSE) +
labs(
title = "Interactive Distribution of Household Wealth Index",
x = "Wealth Index",
y = "Frequency"
) +
theme_minimal()
ggplotly(p, tooltip = "text")Interpretation
This interactive visualization enables readers to explore the distribution of household wealth by hovering over each bar to view the corresponding frequency. Interactive graphics improve data exploration and enhance user engagement.
Summary of Part 3
This section presents three additional visualizations describing delivery type, birth weight, and household wealth. The interactive Plotly figure demonstrates how interactive graphics can improve the presentation and interpretation of public health data.
Discussion
The visualizations presented in this report provide a comprehensive overview of demographic, socioeconomic, maternal, and child health characteristics among children aged 6–23 months.
The distributions of child age and sex describe the composition of the study population, while maternal education and household wealth illustrate key socioeconomic determinants associated with child nutrition. The complementary feeding practice visualization highlights differences in feeding behaviours that are important for child growth and development.
The delivery type and birth weight visualizations provide additional maternal and neonatal health information that may influence infant feeding practices and nutritional outcomes. The interactive household wealth visualization further enhances user engagement by allowing readers to explore the data dynamically.
Overall, the combination of bar charts, histograms, and an interactive visualization effectively communicates multiple dimensions of child health while maintaining clarity and readability.
Conclusion
This report demonstrates the application of modern data visualization techniques using R and R Markdown to summarize demographic, socioeconomic, maternal, and child health characteristics among children aged 6–23 months.
Eight visualizations were created using multiple graphical formats, including bar charts, histograms, and an interactive Plotly visualization. These figures improve the interpretation of complementary feeding practices and associated factors while satisfying the requirements of the data visualization capstone project.
Effective data visualization transforms complex public health data into meaningful graphical summaries that support evidence-based decision-making. The techniques demonstrated in this report can be readily applied to future epidemiological and public health research.
References
International Institute for Population Sciences (IIPS), & ICF. (2021). National Family Health Survey (NFHS-5), 2019–21: India. Mumbai: IIPS.
Wickham, H. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer.
Chang, W., Cheng, J., Allaire, J., Xie, Y., & McPherson, J. Shiny: Web Application Framework for R.
Sievert, C. (2020). Interactive Web-Based Data Visualization with R, Plotly, and Shiny. CRC Press.
Session Information
sessionInfo()## R version 4.5.1 (2025-06-13)
## Platform: aarch64-apple-darwin20
## Running under: macOS Tahoe 26.5.2
##
## Matrix products: default
## BLAS: /Library/Frameworks/R.framework/Versions/4.5-arm64/Resources/lib/libRblas.0.dylib
## LAPACK: /Library/Frameworks/R.framework/Versions/4.5-arm64/Resources/lib/libRlapack.dylib; LAPACK version 3.12.1
##
## locale:
## [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
##
## time zone: Asia/Kolkata
## tzcode source: internal
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] RColorBrewer_1.1-3 tidyr_1.3.1 scales_1.4.0 forcats_1.0.0
## [5] plotly_4.12.0 ggplot2_3.5.2 dplyr_1.1.4 haven_2.5.5
##
## loaded via a namespace (and not attached):
## [1] gtable_0.3.6 jsonlite_2.0.0 compiler_4.5.1 tidyselect_1.2.1
## [5] jquerylib_0.1.4 yaml_2.3.10 fastmap_1.2.0 readr_2.1.5
## [9] R6_2.6.1 labeling_0.4.3 generics_0.1.4 knitr_1.50
## [13] htmlwidgets_1.6.4 tibble_3.3.0 tzdb_0.5.0 bslib_0.9.0
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## [33] lifecycle_1.0.4 vctrs_0.6.5 evaluate_1.0.5 glue_1.8.0
## [37] data.table_1.17.8 farver_2.1.2 purrr_1.1.0 httr_1.4.7
## [41] rmarkdown_2.31 tools_4.5.1 pkgconfig_2.0.3 htmltools_0.5.8.1getwd()## [1] "/Users/dr.pavi/Library/CloudStorage/OneDrive-Personal/MBA II"list.files()## [1] "~$ PRACT WEEK 2 Q1.pdf"
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## [221] "RRIM 7.docx"
## [222] "RRIM 8.docx"
## [223] "Sample Business Analytics (Practical) - MCQs.pdf"
## [224] "Thenmozhi Dissertation final version 1.docx"
## [225] "Thenmozhi Dissertation final version 2.docx"
## [226] "Thenmozhi Dissertation final version 3.docx"
## [227] "Videos for Modules.xlsx"
## [228] "villupuram.xlsx"