Convert variable into factor with associated value labels
Source:R/as_character.R, R/as_label.R
as_label.Rdas_label() converts (replaces) values of a variable (also of factors
or character vectors) with their associated value labels. Might
be helpful for factor variables.
For instance, if you have a Gender variable with 0/1 value, and associated
labels are male/female, this function would convert all 0 to male and
all 1 to female and returns the new variable as factor.
as_character() does the same as as_label(), but returns
a character vector.
Usage
as_character(x, ...)
to_character(x, ...)
# S3 method for class 'data.frame'
as_character(
x,
...,
add.non.labelled = FALSE,
prefix = FALSE,
var.label = NULL,
drop.na = TRUE,
drop.levels = FALSE,
keep.labels = FALSE
)
as_label(x, ...)
to_label(x, ...)
# S3 method for class 'data.frame'
as_label(
x,
...,
add.non.labelled = FALSE,
prefix = FALSE,
var.label = NULL,
drop.na = TRUE,
drop.levels = FALSE,
keep.labels = FALSE
)Arguments
- x
A vector or data frame.
- ...
Optional, unquoted names of variables that should be selected for further processing. Required, if
xis a data frame (and no vector) and only selected variables fromxshould be processed. You may also use functions like:or tidyselect's select-helpers. See 'Examples'.- add.non.labelled
Logical, if
TRUE, values without associated value label will also be converted to labels (as is). See 'Examples'.- prefix
Logical, if
TRUE, the value labels used as factor levels or character values will be prefixed with their associated values. See 'Examples'.- var.label
Optional string, to set variable label attribute for the returned variable (see vignette Labelled Data and the sjlabelled-Package). If
NULL(default), variable label attribute ofxwill be used (if present). If empty, variable label attributes will be removed.- drop.na
Logical, if
TRUE, taggedNAvalues with value labels will be converted to regular NA's. Else, taggedNAvalues will be replaced with their value labels. See 'Examples' andget_na.- drop.levels
Logical, if
TRUE, unused factor levels will be dropped (i.e.droplevelswill be applied before returning the result).- keep.labels
Logical, if
TRUE, value labels are preserved This allows users to quickly convert back factors to numeric vectors withas_numeric().
Value
A factor with the associated value labels as factor levels. If x
is a data frame, the complete data frame x will be returned,
where variables specified in ... are coerced to factors;
if ... is not specified, applies to all variables in the
data frame. as_character() returns a character vector.
Details
See 'Details' in get_na.
Note
Value label attributes (see get_labels)
will be removed when converting variables to factors.
Examples
data(efc)
print(get_labels(efc)['c161sex'])
#> $c161sex
#> [1] "Male" "Female"
#>
head(efc$c161sex)
#> [1] 2 2 1 1 2 1
head(as_label(efc$c161sex))
#> [1] Female Female Male Male Female Male
#> Levels: Male Female
print(get_labels(efc)['e42dep'])
#> $e42dep
#> [1] "independent" "slightly dependent" "moderately dependent"
#> [4] "severely dependent"
#>
table(efc$e42dep)
#>
#> 1 2 3 4
#> 66 225 306 304
table(as_label(efc$e42dep))
#>
#> independent slightly dependent moderately dependent
#> 66 225 306
#> severely dependent
#> 304
head(efc$e42dep)
#> [1] 3 3 3 4 4 4
head(as_label(efc$e42dep))
#> [1] moderately dependent moderately dependent moderately dependent
#> [4] severely dependent severely dependent severely dependent
#> 4 Levels: independent slightly dependent ... severely dependent
# structure of numeric values won't be changed
# by this function, it only applies to labelled vectors
# (typically categorical or factor variables)
str(efc$e17age)
#> num [1:908] 83 88 82 67 84 85 74 87 79 83 ...
#> - attr(*, "label")= chr "elder' age"
str(as_label(efc$e17age))
#> num [1:908] 83 88 82 67 84 85 74 87 79 83 ...
#> - attr(*, "label")= chr "elder' age"
# factor with non-numeric levels
as_label(factor(c("a", "b", "c")))
#> [1] a b c
#> Levels: a b c
# factor with non-numeric levels, prefixed
x <- factor(c("a", "b", "c"))
x <- set_labels(x, labels = c("ape", "bear", "cat"))
as_label(x, prefix = TRUE)
#> [1] [a] ape [b] bear [c] cat
#> Levels: [a] ape [b] bear [c] cat
# create vector
x <- c(1, 2, 3, 2, 4, NA)
# add less labels than values
x <- set_labels(
x,
labels = c("yes", "maybe", "no"),
force.labels = FALSE,
force.values = FALSE
)
#> "x" has more values than "labels", hence not all values are labelled.
# convert to label w/o non-labelled values
as_label(x)
#> [1] yes maybe no maybe <NA> <NA>
#> Levels: yes maybe no
# convert to label, including non-labelled values
as_label(x, add.non.labelled = TRUE)
#> [1] yes maybe no maybe 4 <NA>
#> Levels: yes maybe no 4
# create labelled integer, with missing flag
if (require("haven")) {
x <- labelled(
c(1:3, tagged_na("a", "c", "z"), 4:1, 2:3),
c("Agreement" = 1, "Disagreement" = 4, "First" = tagged_na("c"),
"Refused" = tagged_na("a"), "Not home" = tagged_na("z"))
)
# to labelled factor, with missing labels
as_label(x, drop.na = FALSE)
# to labelled factor, missings removed
as_label(x, drop.na = TRUE)
# keep missings, and use non-labelled values as well
as_label(x, add.non.labelled = TRUE, drop.na = FALSE)
}
#> Loading required package: haven
#> Warning: there is no package called ‘haven’
# convert labelled character to factor
dummy <- c("M", "F", "F", "X")
dummy <- set_labels(
dummy,
labels = c(`M` = "Male", `F` = "Female", `X` = "Refused")
)
get_labels(dummy,, "p")
#> [1] "[Female] F" "[Male] M" "[Refused] X"
as_label(dummy)
#> [1] M F F X
#> Levels: F M X
# drop unused factor levels, but preserve variable label
x <- factor(c("a", "b", "c"), levels = c("a", "b", "c", "d"))
x <- set_labels(x, labels = c("ape", "bear", "cat"))
set_label(x) <- "A factor!"
x
#> [1] a b c
#> attr(,"labels")
#> ape bear cat
#> a b c
#> attr(,"label")
#> [1] A factor!
#> Levels: a b c d
as_label(x, drop.levels = TRUE)
#> [1] ape bear cat
#> attr(,"label")
#> [1] A factor!
#> Levels: ape bear cat
# change variable label
as_label(x, var.label = "New variable label!", drop.levels = TRUE)
#> [1] ape bear cat
#> attr(,"label")
#> [1] New variable label!
#> Levels: ape bear cat
# convert to numeric and back again, preserving label attributes
# *and* values in numeric vector
x <- c(0, 1, 0, 4)
x <- set_labels(x, labels = c(`null` = 0, `one` = 1, `four` = 4))
#> Error in set_labels_helper(x = .dat, labels = labels, force.labels = force.labels, force.values = force.values, drop.na = drop.na, var.name = NULL): Package 'haven' required for this function. Please install it.
# to factor
as_label(x)
#> [1] 0 1 0 4
# to factor, back to numeric - values are 1, 2 and 3,
# instead of original 0, 1 and 4
as_numeric(as_label(x))
#> [1] 0 1 0 4
# preserve label-attributes when converting to factor, use these attributes
# to restore original numeric values when converting back to numeric
as_numeric(as_label(x, keep.labels = TRUE), use.labels = TRUE)
#> [1] 0 1 0 4
# easily coerce specific variables in a data frame to factor
# and keep other variables, with their class preserved
as_label(efc, e42dep, e16sex, c172code)
#> c12hour e15relat e16sex e17age e42dep c82cop1 c83cop2 c84cop3
#> 1 16 2 female 83 moderately dependent 3 2 2
#> 2 148 2 female 88 moderately dependent 3 3 3
#> 3 70 1 female 82 moderately dependent 2 2 1
#> 4 168 1 female 67 severely dependent 4 1 3
#> 5 168 2 female 84 severely dependent 3 2 1
#> 6 16 2 female 85 severely dependent 2 2 3
#> 7 161 1 male 74 severely dependent 4 2 4
#> 8 110 4 female 87 severely dependent 3 2 2
#> 9 28 2 female 79 severely dependent 3 2 3
#> 10 40 2 female 83 severely dependent 3 2 1
#> 11 100 1 male 68 severely dependent 3 4 4
#> 12 25 8 female 97 moderately dependent 3 3 3
#> 13 25 2 female 80 severely dependent 3 2 2
#> 14 24 1 female 75 moderately dependent 3 2 4
#> 15 56 2 female 82 moderately dependent 2 3 3
#> 16 20 2 female 89 moderately dependent 4 2 1
#> 17 25 1 male 80 independent 3 2 1
#> 18 126 1 male 72 moderately dependent 4 2 1
#> 19 168 2 male 94 moderately dependent 3 2 1
#> 20 118 1 male 79 severely dependent 3 2 4
#> 21 150 2 female 89 severely dependent 3 2 3
#> 22 50 1 male 67 moderately dependent 4 1 2
#> 23 18 2 female 94 severely dependent 3 1 1
#> 24 168 2 female 83 severely dependent 3 2 2
#> 25 15 2 female 85 moderately dependent 3 2 1
#> 26 168 1 male 80 severely dependent 2 3 4
#> 27 12 2 female 88 severely dependent 2 3 3
#> 28 7 1 male 76 slightly dependent 2 2 2
#> 29 35 2 female 84 moderately dependent 3 2 2
#> 30 168 2 female 95 severely dependent 2 2 1
#> 31 150 2 male 88 severely dependent 3 2 4
#> 32 168 1 male 87 severely dependent 3 1 3
#> 33 168 4 female 89 moderately dependent 3 2 2
#> 34 119 1 male 80 severely dependent 2 2 4
#> 35 168 1 female 75 severely dependent 3 2 1
#> 36 168 1 male 82 severely dependent 3 2 1
#> 37 168 1 male 69 severely dependent 3 4 3
#> 38 28 2 female 91 slightly dependent 3 1 1
#> 39 168 1 male 86 severely dependent 3 2 3
#> 40 30 2 female 86 moderately dependent 2 3 2
#> 41 14 2 female 84 moderately dependent 4 3 2
#> 42 168 1 male 69 severely dependent 4 2 1
#> 43 168 1 male 67 severely dependent 3 2 3
#> 44 50 1 male 67 severely dependent 3 3 2
#> 45 168 1 male 66 severely dependent 3 4 2
#> 46 24 1 male 79 severely dependent 2 3 1
#> 47 168 1 female 72 severely dependent 3 2 3
#> 48 42 1 male 65 severely dependent 3 3 2
#> 49 154 1 male 75 moderately dependent 3 2 3
#> 50 60 7 female 87 severely dependent 2 4 4
#> 51 168 1 male 68 severely dependent 3 3 4
#> 52 168 1 male 75 severely dependent 4 2 2
#> 53 24 1 male 65 severely dependent 2 2 4
#> 54 168 1 male 67 severely dependent 3 2 3
#> 55 150 1 female 81 severely dependent 4 2 1
#> 56 168 2 female 83 severely dependent 4 2 2
#> 57 168 1 male NA severely dependent NA 3 4
#> 58 168 2 female 82 severely dependent 3 3 2
#> 59 168 1 male 79 moderately dependent 2 2 1
#> 60 168 1 male 72 severely dependent 2 4 4
#> 61 128 2 female 87 severely dependent 4 2 4
#> 62 168 1 male 85 severely dependent 3 2 4
#> 63 11 2 female 88 severely dependent 3 1 1
#> 64 50 2 female 74 moderately dependent 2 2 2
#> 65 80 2 female 87 moderately dependent 3 2 2
#> 66 15 2 female 88 moderately dependent 3 2 2
#> 67 7 2 female 76 severely dependent 2 3 1
#> 68 21 4 female 81 moderately dependent 3 2 1
#> 69 168 1 female 80 severely dependent 3 3 1
#> 70 24 1 female 68 severely dependent 2 3 4
#> 71 6 8 female 82 severely dependent 4 1 1
#> 72 30 2 female NA severely dependent 3 2 2
#> 73 168 2 female 91 severely dependent 3 2 1
#> 74 42 1 male 66 severely dependent 2 3 2
#> 75 30 2 female 89 severely dependent 3 2 2
#> 76 85 1 male 79 severely dependent 3 2 1
#> 77 35 2 male 69 severely dependent 2 4 4
#> 78 70 2 female 92 moderately dependent 3 2 1
#> 79 9 2 female 75 moderately dependent 2 3 1
#> 80 168 1 male 76 severely dependent 3 2 2
#> 81 77 1 male 77 slightly dependent 4 1 1
#> 82 24 1 female NA moderately dependent 4 2 1
#> 83 91 1 male 76 severely dependent 3 2 1
#> 84 6 2 female 76 moderately dependent 3 3 2
#> 85 22 2 female 79 severely dependent 3 2 3
#> 86 168 2 female 77 severely dependent 3 2 1
#> 87 168 1 male 67 severely dependent 3 2 1
#> 88 168 1 male 66 severely dependent 3 3 2
#> 89 168 8 female 78 severely dependent 3 3 3
#> 90 50 2 female 84 severely dependent 3 3 2
#> 91 40 1 male 79 moderately dependent 3 1 1
#> 92 9 1 male 77 independent 3 2 2
#> 93 25 1 female 66 slightly dependent 3 2 1
#> 94 14 4 female 94 moderately dependent 3 3 1
#> 95 49 1 male 65 severely dependent 3 2 1
#> 96 5 4 male 90 moderately dependent 3 2 1
#> 97 7 1 male 66 <NA> 3 2 2
#> 98 21 1 male 90 severely dependent 3 2 1
#> 99 24 1 male 85 moderately dependent 3 2 2
#> 100 7 8 male 77 severely dependent 3 3 4
#> 101 168 1 female 76 moderately dependent 3 2 3
#> 102 168 1 male 66 moderately dependent 3 2 2
#> 103 4 1 male 76 moderately dependent 4 2 1
#> 104 168 2 female 80 severely dependent 3 2 1
#> 105 168 2 female 89 severely dependent 3 2 2
#> 106 15 1 male 69 moderately dependent 3 2 2
#> 107 168 1 male 75 moderately dependent 4 2 1
#> 108 168 1 female 75 slightly dependent 4 1 1
#> 109 20 2 male 80 moderately dependent 3 2 1
#> 110 59 2 female 80 severely dependent 3 2 2
#> 111 24 1 male 74 severely dependent 3 2 1
#> 112 7 2 female 82 moderately dependent 3 2 2
#> 113 100 2 female 91 severely dependent 3 3 3
#> 114 168 1 female 80 severely dependent 4 1 1
#> 115 168 2 female 74 severely dependent 3 2 2
#> 116 28 2 female 90 slightly dependent 3 2 2
#> 117 20 2 female 83 slightly dependent 3 2 2
#> 118 50 1 male 82 moderately dependent 3 3 3
#> 119 89 1 female 73 severely dependent 4 2 4
#> 120 168 1 male 84 severely dependent 3 2 1
#> 121 12 2 female 90 moderately dependent 4 1 1
#> 122 24 1 female 65 severely dependent 3 3 4
#> 123 91 1 male 84 severely dependent 3 3 4
#> 124 168 1 male 72 severely dependent 3 4 4
#> 125 168 2 male 95 moderately dependent 2 2 2
#> 126 168 1 female 67 severely dependent 3 2 1
#> 127 11 2 female 81 independent 4 1 1
#> 128 35 2 female 92 severely dependent 3 2 1
#> 129 10 2 female 83 slightly dependent 3 1 1
#> 130 125 1 female 74 severely dependent 4 1 2
#> 131 140 1 male 91 moderately dependent 2 2 3
#> 132 28 2 female 78 moderately dependent 3 2 1
#> 133 84 1 male 81 severely dependent 3 2 1
#> 134 15 2 female 76 severely dependent 1 2 3
#> 135 15 2 female 93 moderately dependent 4 2 2
#> 136 14 2 female 97 moderately dependent 3 2 2
#> 137 24 2 female 93 severely dependent 3 4 3
#> 138 4 4 female 81 slightly dependent 4 1 1
#> 139 140 1 female 75 severely dependent 4 1 2
#> 140 168 1 male 84 moderately dependent 3 2 1
#> 141 6 8 female 78 slightly dependent 3 2 2
#> 142 10 8 female 84 severely dependent 3 2 1
#> 143 20 2 female 87 severely dependent 2 3 2
#> 144 15 1 male 83 moderately dependent 4 2 1
#> 145 65 8 female 94 severely dependent 3 2 2
#> 146 35 1 female 85 severely dependent 3 2 2
#> 147 105 1 female 70 severely dependent 4 2 1
#> 148 50 1 male 69 severely dependent 3 2 2
#> 149 168 1 male 76 severely dependent 3 2 1
#> 150 77 2 male 83 moderately dependent 3 2 2
#> 151 168 4 female 91 severely dependent 4 2 1
#> 152 42 2 female 90 severely dependent 4 2 2
#> 153 4 6 female 87 severely dependent 3 1 1
#> 154 168 2 female 91 severely dependent 4 2 3
#> 155 168 1 male 72 severely dependent 4 2 1
#> 156 42 1 female 73 moderately dependent 3 1 2
#> 157 6 2 female 79 moderately dependent 2 1 1
#> 158 168 2 female 84 severely dependent 4 4 1
#> 159 70 1 female 82 moderately dependent 3 2 2
#> 160 15 3 male 65 moderately dependent 3 2 1
#> 161 30 4 female 78 moderately dependent 3 2 1
#> 162 9 2 female 94 moderately dependent 3 2 4
#> 163 16 2 female 91 severely dependent 1 3 1
#> 164 35 4 female NA severely dependent 3 2 1
#> 165 28 8 female 80 moderately dependent 3 2 1
#> 166 168 1 female 70 severely dependent 4 3 2
#> 167 9 2 female 84 severely dependent 4 4 1
#> 168 168 2 female 82 severely dependent 3 2 1
#> 169 15 2 female 76 moderately dependent 2 3 1
#> 170 6 2 female 77 severely dependent 3 2 1
#> 171 14 1 female 66 moderately dependent 3 2 1
#> 172 35 2 female 90 moderately dependent 4 2 3
#> 173 7 1 male 76 moderately dependent 3 2 1
#> 174 12 1 male 69 moderately dependent 4 2 2
#> 175 50 2 female 88 severely dependent 4 1 2
#> 176 6 2 female 71 severely dependent 3 2 1
#> 177 22 2 female 93 moderately dependent 2 2 1
#> 178 35 2 female 97 severely dependent 3 2 2
#> 179 6 2 female 84 severely dependent 4 1 1
#> 180 168 1 female 79 severely dependent 4 2 1
#> 181 28 2 male 91 severely dependent 4 2 2
#> 182 10 4 female 84 moderately dependent 3 2 2
#> 183 91 1 male 75 moderately dependent 3 2 3
#> 184 8 8 female 81 severely dependent 3 2 1
#> 185 168 2 female 77 severely dependent 3 2 2
#> 186 24 2 female 75 severely dependent 3 3 1
#> 187 168 2 female 74 severely dependent 4 3 3
#> 188 168 2 female 92 severely dependent 2 3 3
#> 189 14 2 female 79 slightly dependent 3 1 1
#> 190 28 1 female 74 moderately dependent 3 2 2
#> 191 16 1 male 76 moderately dependent 3 3 3
#> 192 168 1 female NA severely dependent 3 4 1
#> 193 6 2 female 84 slightly dependent 3 2 1
#> 194 168 1 male 65 severely dependent 3 2 1
#> 195 28 2 female 85 moderately dependent 3 2 1
#> 196 160 1 male 75 moderately dependent 3 1 1
#> 197 39 2 female 90 slightly dependent 3 2 2
#> 198 15 2 female 83 severely dependent 3 3 1
#> 199 10 2 male 87 slightly dependent 3 2 2
#> 200 10 6 female 86 moderately dependent 3 1 1
#> 201 17 NA female 93 moderately dependent 4 1 1
#> 202 168 4 female 92 severely dependent 2 3 4
#> 203 70 2 female 92 moderately dependent 4 1 1
#> 204 50 2 female 84 severely dependent 2 3 2
#> 205 12 2 female 83 moderately dependent 4 1 1
#> 206 10 2 female 82 moderately dependent 3 3 1
#> 207 168 2 female 87 severely dependent 3 2 1
#> 208 168 2 female 89 severely dependent 4 2 2
#> 209 168 1 male 91 moderately dependent 3 2 3
#> 210 28 2 female 84 moderately dependent 3 2 1
#> 211 12 2 female 93 moderately dependent 3 2 2
#> 212 8 2 female 85 severely dependent 2 3 2
#> 213 21 2 female 79 severely dependent 3 1 2
#> 214 24 2 female 84 severely dependent 2 2 1
#> 215 15 1 male 65 slightly dependent 4 1 4
#> 216 8 2 female 89 moderately dependent 3 1 1
#> 217 16 2 female 84 severely dependent 4 2 2
#> 218 56 4 male 81 severely dependent 3 2 1
#> 219 42 2 female 77 severely dependent 4 2 2
#> 220 4 8 female 65 slightly dependent 4 1 1
#> 221 25 2 female 93 moderately dependent 3 2 1
#> 222 35 2 male 96 severely dependent 3 3 3
#> 223 30 2 female 90 severely dependent 3 2 1
#> 224 6 2 female 86 moderately dependent 3 2 1
#> 225 110 2 female 88 severely dependent 3 4 1
#> 226 30 2 female 79 moderately dependent 3 2 1
#> 227 24 2 male 91 severely dependent 3 3 1
#> 228 14 4 female 84 moderately dependent 2 4 2
#> 229 4 3 female 71 moderately dependent 3 1 2
#> 230 20 2 male 67 moderately dependent 3 4 1
#> 231 10 2 female 87 moderately dependent 3 3 3
#> 232 7 2 female 84 moderately dependent 3 4 4
#> 233 161 1 male 87 severely dependent 4 2 1
#> 234 28 2 female 84 moderately dependent 3 3 1
#> 235 14 2 female 86 severely dependent 2 2 1
#> 236 4 2 male 83 severely dependent 3 2 2
#> 237 50 1 male 69 moderately dependent 4 2 2
#> 238 10 2 female 75 slightly dependent 3 2 1
#> 239 18 2 male 79 moderately dependent 4 2 1
#> 240 15 8 male 76 slightly dependent 3 2 1
#> 241 6 8 female 76 independent 3 1 2
#> 242 17 8 female 82 moderately dependent 3 2 1
#> 243 14 2 female 88 moderately dependent 3 2 2
#> 244 5 2 female 90 slightly dependent 3 2 1
#> 245 10 8 female 87 slightly dependent 3 2 1
#> 246 30 2 female 76 moderately dependent 3 2 1
#> 247 10 8 male 76 independent 3 1 1
#> 248 10 4 female 86 slightly dependent 3 2 1
#> 249 84 2 female 83 moderately dependent 3 2 1
#> 250 10 2 female 89 slightly dependent 3 2 1
#> 251 6 5 female 82 moderately dependent 3 2 1
#> 252 15 2 female 79 moderately dependent 3 2 2
#> 253 40 1 male 67 moderately dependent 3 2 1
#> 254 21 8 male 73 severely dependent 3 1 3
#> 255 11 2 male 89 independent 3 2 2
#> 256 8 2 female 95 moderately dependent 2 3 3
#> 257 5 2 female 65 moderately dependent 3 2 1
#> 258 12 1 male 89 severely dependent 3 4 1
#> 259 10 1 male 83 slightly dependent 3 2 3
#> 260 20 2 female 86 slightly dependent 3 2 2
#> 261 12 2 female 82 slightly dependent 2 2 1
#> 262 24 2 female 93 severely dependent 3 2 4
#> 263 27 2 female 90 severely dependent 3 2 2
#> 264 14 2 female 79 moderately dependent 3 3 2
#> 265 18 2 female 97 moderately dependent 4 1 2
#> 266 168 2 female 78 severely dependent 3 1 1
#> 267 14 2 female 74 moderately dependent 3 2 4
#> 268 10 2 female 86 moderately dependent 3 4 2
#> 269 6 2 female 88 moderately dependent 3 2 1
#> 270 21 2 female 77 moderately dependent 2 4 3
#> 271 16 2 female 76 slightly dependent 3 1 1
#> 272 15 2 female 74 moderately dependent 3 1 2
#> 273 20 2 female 76 slightly dependent 3 2 2
#> 274 10 2 male 71 slightly dependent 4 1 2
#> 275 22 2 male 74 moderately dependent 3 3 2
#> 276 35 2 male 82 moderately dependent 4 3 1
#> 277 30 2 female 82 moderately dependent 3 2 1
#> 278 16 5 male 74 moderately dependent 3 2 2
#> 279 24 3 male 73 slightly dependent 4 2 1
#> 280 168 3 male 67 moderately dependent 3 2 1
#> 281 168 2 male 70 moderately dependent 3 2 1
#> 282 40 5 female 70 slightly dependent 3 1 1
#> 283 40 2 female 70 slightly dependent 3 2 1
#> 284 50 3 male 67 slightly dependent 3 2 1
#> 285 20 6 female 80 moderately dependent 3 2 1
#> 286 20 2 male 69 moderately dependent 3 1 1
#> 287 6 2 female 89 severely dependent 2 2 1
#> 288 5 2 male 83 severely dependent 3 2 1
#> 289 48 2 female 83 severely dependent 3 3 3
#> 290 168 2 female 67 severely dependent 2 3 3
#> 291 6 2 female 84 slightly dependent 2 2 1
#> 292 8 8 female 90 slightly dependent 4 1 1
#> 293 43 2 male 80 moderately dependent 4 1 1
#> 294 90 2 male 81 severely dependent 4 1 1
#> 295 100 4 female 87 moderately dependent 3 2 1
#> 296 8 2 male 73 slightly dependent 3 2 1
#> 297 15 2 male 71 moderately dependent 3 2 3
#> 298 5 7 female 80 moderately dependent 4 1 1
#> 299 8 3 male 69 slightly dependent 3 1 2
#> 300 10 4 female 73 slightly dependent 4 1 1
#> 301 30 2 female 88 severely dependent 3 2 2
#> 302 168 1 female 73 severely dependent 2 2 1
#> 303 20 2 female 78 moderately dependent 4 3 2
#> 304 30 8 female 86 slightly dependent 3 2 2
#> 305 30 4 male 75 slightly dependent 3 2 1
#> 306 12 8 female 89 moderately dependent 4 2 4
#> 307 30 2 female 83 severely dependent 2 2 3
#> 308 30 1 female 78 slightly dependent 3 2 1
#> 309 14 1 male 69 moderately dependent 3 2 1
#> 310 15 1 male 70 independent 3 1 1
#> 311 50 2 female 86 moderately dependent 3 2 1
#> 312 20 2 male 67 moderately dependent 3 2 2
#> 313 25 2 male 74 moderately dependent 3 2 3
#> 314 40 2 female 87 severely dependent 3 2 1
#> 315 9 1 male 66 moderately dependent 3 2 1
#> 316 18 1 male 68 moderately dependent 3 3 4
#> 317 25 8 female 72 severely dependent 3 2 2
#> 318 100 1 male 80 severely dependent 3 2 2
#> 319 6 2 female 89 moderately dependent 3 2 2
#> 320 25 2 female 84 slightly dependent 4 2 1
#> 321 15 8 female 93 moderately dependent 3 2 1
#> 322 20 6 female 86 moderately dependent 4 3 1
#> 323 10 2 female 84 slightly dependent 3 2 1
#> 324 28 2 male 86 severely dependent 3 3 1
#> 325 10 2 male 83 slightly dependent 3 2 1
#> 326 30 2 male 86 moderately dependent 3 2 1
#> 327 6 2 female 88 moderately dependent 3 3 1
#> 328 40 2 male 75 moderately dependent 3 2 2
#> 329 7 8 female 76 independent 4 2 1
#> 330 8 4 female NA independent 3 2 1
#> 331 15 2 male 81 slightly dependent 4 2 1
#> 332 4 4 male 78 severely dependent 3 2 1
#> 333 4 8 female 83 severely dependent 3 2 2
#> 334 168 2 female 94 severely dependent 3 1 3
#> 335 7 8 male 84 moderately dependent 4 1 1
#> 336 22 2 female 71 slightly dependent 4 1 2
#> 337 30 4 male 86 slightly dependent 3 3 1
#> 338 15 2 female 89 moderately dependent 4 1 1
#> 339 30 2 female 93 moderately dependent 3 3 1
#> 340 20 4 female 75 slightly dependent 4 1 1
#> 341 25 2 female 73 slightly dependent 3 2 1
#> 342 20 2 female 70 slightly dependent 3 2 1
#> 343 20 2 male 75 slightly dependent 3 2 1
#> 344 25 2 female NA slightly dependent 4 1 1
#> 345 14 4 male 75 moderately dependent 3 2 1
#> 346 30 8 female 103 severely dependent 4 1 2
#> 347 20 2 female 70 moderately dependent 3 1 1
#> 348 15 4 female 84 severely dependent 3 3 4
#> 349 6 2 male 78 independent 4 1 1
#> 350 5 8 male 85 slightly dependent 4 2 1
#> 351 50 2 male 81 severely dependent 3 2 1
#> 352 8 2 female 90 slightly dependent 4 1 1
#> 353 20 2 male 76 slightly dependent 3 2 1
#> 354 14 2 male 75 slightly dependent 4 1 2
#> 355 18 2 female 74 moderately dependent 3 1 2
#> 356 16 2 female 75 moderately dependent 2 4 3
#> 357 20 2 female 89 severely dependent 3 2 1
#> 358 15 8 male 73 moderately dependent 3 2 3
#> 359 25 3 male 79 moderately dependent 3 2 2
#> 360 18 2 male 83 slightly dependent 4 1 1
#> 361 22 2 female 91 moderately dependent 3 2 2
#> 362 18 2 male 81 moderately dependent 3 2 1
#> 363 48 1 female 77 slightly dependent 4 1 1
#> 364 60 2 male 65 moderately dependent 4 2 1
#> 365 10 4 male 73 slightly dependent 4 1 1
#> 366 7 2 male 73 independent 4 1 1
#> 367 5 6 female 69 independent 4 1 1
#> 368 35 3 female 79 slightly dependent 3 2 2
#> 369 28 2 female 82 slightly dependent 3 2 2
#> 370 5 5 female 76 slightly dependent 3 1 1
#> 371 25 4 female 84 slightly dependent 3 1 1
#> 372 40 2 female 86 severely dependent 3 2 1
#> 373 49 4 female 88 severely dependent 3 2 3
#> 374 4 2 female 76 independent 2 4 1
#> 375 70 4 female 94 slightly dependent 3 2 2
#> 376 6 4 male 78 slightly dependent 3 3 2
#> 377 7 2 female 67 slightly dependent 4 2 1
#> 378 40 4 female 81 moderately dependent 4 1 1
#> 379 50 2 female 69 severely dependent 3 1 2
#> 380 30 2 female 77 severely dependent 3 2 1
#> 381 70 2 female 73 severely dependent 2 2 4
#> 382 14 2 male 70 moderately dependent 3 2 2
#> 383 70 5 female 82 moderately dependent 2 2 2
#> 384 7 2 female 93 severely dependent 3 4 2
#> 385 6 2 male 81 moderately dependent 3 2 1
#> 386 14 4 female 70 slightly dependent 3 2 1
#> 387 10 1 male 78 slightly dependent 4 1 1
#> 388 25 4 female 84 severely dependent 3 2 2
#> 389 5 2 male 83 moderately dependent 3 2 2
#> 390 11 2 female 82 severely dependent 3 2 2
#> 391 120 2 female 85 severely dependent 3 3 1
#> 392 18 2 male 83 moderately dependent 2 2 2
#> 393 6 8 male 68 independent 2 3 1
#> 394 20 2 male 70 moderately dependent 3 2 3
#> 395 15 2 male 76 slightly dependent 3 2 2
#> 396 35 1 male 73 severely dependent 3 2 3
#> 397 15 2 female 76 slightly dependent 3 2 3
#> 398 15 2 female 80 slightly dependent 3 2 2
#> 399 120 1 male 67 severely dependent 3 3 1
#> 400 28 1 female 77 slightly dependent 3 1 1
#> 401 10 2 female 79 severely dependent 3 2 1
#> 402 120 1 male 72 severely dependent 3 2 1
#> 403 100 2 female 90 severely dependent 4 4 4
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#> 62 3 1 2 1 3 4 79 2
#> 63 1 1 1 1 4 4 64 2
#> 64 3 1 4 4 2 4 44 1
#> 65 1 1 1 2 3 NA 59 1
#> 66 2 1 1 4 1 4 52 2
#> 67 1 1 1 4 3 1 46 2
#> 68 1 1 2 2 3 4 59 1
#> 69 4 1 1 1 1 4 83 1
#> 70 2 1 1 3 1 4 76 1
#> 71 1 1 1 1 4 4 31 1
#> 72 3 3 1 2 2 3 60 2
#> 73 2 1 2 1 3 4 57 2
#> 74 4 1 1 4 2 1 63 2
#> 75 1 2 1 1 4 4 59 2
#> 76 2 1 1 1 1 3 72 2
#> 77 4 1 1 4 4 1 47 2
#> 78 1 1 1 2 2 3 56 2
#> 79 1 1 1 3 2 2 47 2
#> 80 2 1 2 3 2 2 69 2
#> 81 1 1 1 1 1 4 74 2
#> 82 2 1 3 1 3 3 67 1
#> 83 4 1 1 1 2 4 72 2
#> 84 4 2 1 2 3 3 48 2
#> 85 1 1 1 1 1 4 55 2
#> 86 4 2 2 2 1 4 57 2
#> 87 2 3 3 2 1 2 62 2
#> 88 2 1 1 3 3 3 70 2
#> 89 4 4 3 4 3 1 34 2
#> 90 1 1 1 1 3 3 55 2
#> 91 3 1 1 1 2 4 69 2
#> 92 1 1 1 2 3 4 69 2
#> 93 3 1 1 2 2 2 60 1
#> 94 2 1 1 1 1 3 66 1
#> 95 2 1 1 2 4 4 60 2
#> 96 2 2 1 2 1 4 54 2
#> 97 2 1 1 2 3 NA 64 2
#> 98 2 1 1 1 3 3 75 2
#> 99 2 1 1 2 3 3 80 2
#> 100 2 2 2 3 2 2 49 1
#> 101 3 1 1 1 1 2 68 1
#> 102 2 1 1 2 2 2 64 2
#> 103 2 1 1 1 1 4 72 2
#> 104 2 1 1 1 4 2 54 2
#> 105 2 2 1 2 2 3 62 2
#> 106 2 3 1 2 4 3 65 2
#> 107 1 1 1 2 4 4 75 2
#> 108 1 1 1 1 4 4 77 1
#> 109 2 1 1 4 2 2 50 2
#> 110 2 2 1 2 3 3 54 2
#> 111 2 1 2 2 2 4 72 2
#> 112 1 2 1 2 2 1 46 2
#> 113 2 1 2 4 1 2 61 2
#> 114 1 1 1 1 4 4 83 1
#> 115 2 1 2 2 3 3 44 2
#> 116 3 2 1 2 1 3 67 2
#> 117 1 1 1 2 1 3 61 2
#> 118 2 1 2 2 2 3 78 2
#> 119 2 1 1 3 1 3 77 1
#> 120 4 1 1 2 1 1 75 2
#> 121 1 1 2 1 3 4 61 1
#> 122 2 1 1 3 1 NA 65 1
#> 123 1 1 2 3 2 NA 74 2
#> 124 4 1 1 4 1 2 63 2
#> 125 2 1 1 4 4 4 66 2
#> 126 3 1 1 4 3 3 62 1
#> 127 1 1 1 2 2 NA 49 2
#> 128 3 2 1 2 1 NA 55 2
#> 129 1 2 1 1 1 4 45 2
#> 130 2 1 3 4 1 4 76 1
#> 131 3 1 2 3 2 2 65 2
#> 132 1 1 1 1 4 4 56 2
#> 133 4 1 1 2 2 2 75 2
#> 134 2 1 NA 4 1 NA 45 2
#> 135 2 2 1 3 1 2 59 1
#> 136 1 2 1 2 1 3 66 1
#> 137 2 2 1 4 1 1 61 2
#> 138 1 1 1 1 4 4 50 1
#> 139 2 1 2 1 3 4 75 1
#> 140 3 1 1 2 3 3 76 2
#> 141 3 3 3 4 2 2 35 2
#> 142 2 2 1 2 1 3 42 2
#> 143 2 2 1 2 1 2 65 2
#> 144 NA 1 1 1 4 NA 81 2
#> 145 2 2 1 2 2 4 43 2
#> 146 1 1 1 2 2 4 76 1
#> 147 NA 2 1 2 3 1 67 1
#> 148 2 1 1 2 1 3 63 2
#> 149 2 1 1 2 3 3 56 2
#> 150 1 2 2 3 2 3 49 2
#> 151 2 1 1 3 1 4 55 2
#> 152 3 1 1 2 1 3 60 2
#> 153 1 2 1 1 1 3 59 1
#> 154 1 1 1 2 3 3 62 2
#> 155 2 1 2 2 3 4 62 2
#> 156 1 1 1 2 2 2 79 1
#> 157 2 1 1 2 3 4 54 2
#> 158 4 1 1 2 4 4 57 2
#> 159 2 1 1 2 1 3 74 1
#> 160 2 1 1 2 3 3 67 2
#> 161 1 2 2 3 1 3 51 2
#> 162 2 1 1 3 2 4 55 2
#> 163 4 2 1 3 1 1 56 2
#> 164 2 1 1 2 NA 3 58 2
#> 165 2 1 1 2 3 4 43 2
#> 166 3 1 1 3 3 4 71 1
#> 167 1 2 1 NA 1 NA 50 2
#> 168 3 1 1 4 1 NA 57 2
#> 169 2 1 1 2 3 1 52 2
#> 170 1 1 1 2 4 NA 53 1
#> 171 1 1 1 2 4 4 60 1
#> 172 1 1 1 2 1 2 65 2
#> 173 1 1 1 1 4 4 72 2
#> 174 1 1 1 1 2 4 64 2
#> 175 2 1 1 2 1 4 57 2
#> 176 2 1 1 1 1 3 47 2
#> 177 2 1 1 2 1 1 62 2
#> 178 2 1 1 3 1 2 67 2
#> 179 1 1 1 1 1 2 63 2
#> 180 2 1 1 1 1 4 77 1
#> 181 3 1 1 1 1 4 60 2
#> 182 2 1 1 2 1 3 48 2
#> 183 2 1 1 4 1 1 73 2
#> 184 1 1 1 2 4 3 25 2
#> 185 3 2 1 3 2 NA 58 2
#> 186 2 1 1 3 3 3 50 2
#> 187 4 1 4 NA 2 4 45 2
#> 188 4 2 1 3 2 3 53 1
#> 189 1 1 1 1 1 3 59 1
#> 190 2 1 1 2 3 3 80 1
#> 191 3 1 2 3 3 3 57 2
#> 192 2 1 1 3 4 4 66 1
#> 193 1 2 1 1 1 2 63 1
#> 194 2 1 2 2 2 3 56 2
#> 195 1 1 1 1 4 4 61 2
#> 196 1 1 1 1 4 4 70 2
#> 197 2 1 1 4 3 3 62 2
#> 198 2 1 1 2 1 3 47 2
#> 199 2 2 1 2 4 1 67 2
#> 200 1 2 1 1 1 3 64 1
#> 201 1 1 1 1 2 4 65 2
#> 202 4 2 1 3 1 1 55 2
#> 203 1 1 1 1 3 4 66 2
#> 204 2 1 1 3 2 1 52 2
#> 205 1 1 1 1 1 3 64 2
#> 206 1 1 1 1 1 3 49 2
#> 207 2 2 3 2 2 4 42 2
#> 208 2 1 1 2 1 4 58 2
#> 209 2 1 1 1 4 4 87 2
#> 210 2 1 1 2 1 2 65 2
#> 211 2 2 1 1 1 3 65 2
#> 212 4 2 2 2 1 3 63 2
#> 213 1 1 1 1 1 3 43 2
#> 214 2 1 1 3 2 1 54 2
#> 215 1 2 2 4 2 3 42 2
#> 216 1 1 1 2 4 4 61 1
#> 217 2 2 1 2 2 4 54 2
#> 218 2 1 4 2 1 1 47 2
#> 219 1 2 1 1 2 4 46 1
#> 220 1 2 1 1 4 4 54 1
#> 221 1 2 1 3 3 1 58 1
#> 222 4 4 3 4 3 3 64 2
#> 223 1 2 1 2 3 2 51 2
#> 224 2 1 1 2 3 3 57 2
#> 225 1 1 1 4 1 3 63 2
#> 226 1 1 1 1 1 3 49 2
#> 227 1 1 1 3 1 4 66 1
#> 228 4 2 1 4 1 2 56 2
#> 229 2 2 1 2 3 3 62 1
#> 230 2 1 1 3 3 4 29 2
#> 231 1 3 1 2 2 4 55 1
#> 232 1 3 2 3 4 4 55 1
#> 233 2 1 1 1 2 4 81 2
#> 234 1 2 1 2 1 3 62 1
#> 235 2 1 1 3 1 4 49 2
#> 236 1 2 1 2 1 3 43 1
#> 237 1 1 1 2 1 3 60 2
#> 238 1 1 1 2 2 3 39 2
#> 239 1 2 1 1 3 3 41 2
#> 240 2 1 1 1 4 4 25 2
#> 241 1 1 1 1 4 3 27 1
#> 242 2 1 1 1 3 4 26 2
#> 243 2 2 1 1 3 2 52 1
#> 244 1 1 1 2 3 3 56 2
#> 245 1 1 1 2 3 3 29 2
#> 246 2 2 1 2 2 4 45 2
#> 247 1 1 1 1 2 3 64 2
#> 248 1 1 2 1 2 2 47 2
#> 249 1 1 2 2 1 3 62 2
#> 250 1 2 1 2 2 3 55 2
#> 251 2 1 1 3 2 2 70 2
#> 252 2 1 1 2 3 2 51 2
#> 253 3 1 2 2 2 4 67 2
#> 254 2 2 1 2 2 3 23 2
#> 255 2 2 1 1 1 2 52 2
#> 256 2 3 1 4 1 2 62 2
#> 257 2 2 1 2 3 3 33 2
#> 258 2 1 1 4 4 2 83 2
#> 259 1 2 1 1 4 3 75 2
#> 260 2 4 3 1 1 2 60 1
#> 261 1 1 1 1 1 4 63 2
#> 262 2 1 1 1 1 4 65 2
#> 263 1 1 1 2 1 1 60 1
#> 264 1 1 1 1 1 2 54 2
#> 265 1 1 1 1 3 4 63 2
#> 266 2 1 2 2 2 3 58 2
#> 267 3 3 2 2 3 1 42 2
#> 268 1 1 1 4 1 1 58 1
#> 269 1 1 1 2 1 3 55 1
#> 270 2 1 2 4 1 2 44 1
#> 271 1 1 1 2 2 2 46 2
#> 272 1 1 1 2 3 2 38 1
#> 273 1 1 1 1 3 2 44 2
#> 274 1 1 1 2 4 3 43 1
#> 275 1 2 1 2 1 3 34 2
#> 276 1 1 2 2 2 2 43 1
#> 277 1 2 1 1 2 3 66 1
#> 278 1 1 1 1 1 3 46 2
#> 279 1 2 1 1 1 3 68 NA
#> 280 1 1 1 1 3 4 60 2
#> 281 1 1 1 2 3 4 35 2
#> 282 1 1 1 2 4 4 38 2
#> 283 1 1 1 1 4 4 41 2
#> 284 2 2 1 1 4 4 40 2
#> 285 1 1 1 2 4 4 39 2
#> 286 1 3 1 2 3 4 44 2
#> 287 2 1 2 2 2 2 57 2
#> 288 2 1 1 1 2 4 48 1
#> 289 3 1 1 4 1 2 56 2
#> 290 2 3 1 4 1 4 40 1
#> 291 3 1 1 2 1 2 61 2
#> 292 1 1 1 1 2 3 63 2
#> 293 1 1 1 1 1 1 59 2
#> 294 1 1 1 1 1 4 69 2
#> 295 1 1 1 1 1 3 60 2
#> 296 1 1 1 1 1 3 49 2
#> 297 1 1 2 2 3 2 41 1
#> 298 1 1 1 1 2 3 72 2
#> 299 1 1 1 1 2 3 64 2
#> 300 1 1 2 1 3 4 46 2
#> 301 3 1 2 3 2 4 64 2
#> 302 2 1 1 1 1 1 79 1
#> 303 2 1 3 2 1 1 39 2
#> 304 2 2 1 2 2 4 42 2
#> 305 1 1 1 1 1 4 39 2
#> 306 4 2 4 2 4 4 42 2
#> 307 2 1 2 4 3 4 54 2
#> 308 2 1 1 1 2 3 76 1
#> 309 1 1 1 2 2 2 69 2
#> 310 2 1 1 1 4 3 68 2
#> 311 3 1 3 2 1 3 66 2
#> 312 3 2 2 2 3 2 35 1
#> 313 3 2 3 3 3 2 30 1
#> 314 1 1 1 1 3 4 54 1
#> 315 2 1 2 2 2 3 56 2
#> 316 2 1 2 3 2 4 60 2
#> 317 1 1 3 2 3 3 26 2
#> 318 3 1 2 2 2 2 68 2
#> 319 1 1 1 2 1 3 51 1
#> 320 2 1 1 1 1 4 54 2
#> 321 2 1 1 2 4 4 52 2
#> 322 1 1 1 1 3 4 53 2
#> 323 1 1 1 1 3 4 54 1
#> 324 2 1 1 1 2 2 52 1
#> 325 1 1 1 1 2 3 48 1
#> 326 1 1 1 2 3 3 46 1
#> 327 4 1 1 2 1 4 68 2
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#> 329 1 1 1 1 1 4 19 1
#> 330 1 1 1 2 1 1 49 2
#> 331 1 1 1 2 1 2 33 1
#> 332 2 2 1 2 3 4 42 2
#> 333 2 2 1 2 2 3 34 2
#> 334 2 1 1 2 1 4 66 2
#> 335 1 1 1 1 4 4 27 2
#> 336 1 1 1 1 1 4 37 1
#> 337 4 1 1 4 1 2 54 2
#> 338 2 1 1 2 1 4 65 1
#> 339 3 1 2 4 3 3 72 2
#> 340 1 1 1 1 3 4 40 2
#> 341 1 1 1 1 1 4 26 2
#> 342 2 2 1 2 2 4 29 2
#> 343 1 1 1 2 2 3 30 2
#> 344 1 1 1 1 2 4 30 2
#> 345 1 1 1 2 2 3 33 2
#> 346 1 1 1 2 1 2 42 2
#> 347 1 1 1 1 1 3 51 1
#> 348 1 1 1 4 1 4 54 1
#> 349 1 1 1 1 1 4 38 2
#> 350 1 1 1 1 3 3 40 2
#> 351 1 1 2 1 3 3 50 2
#> 352 1 1 1 1 2 4 66 2
#> 353 1 1 1 2 1 2 44 2
#> 354 1 1 1 2 3 3 42 1
#> 355 1 1 1 2 3 2 43 2
#> 356 2 1 2 4 1 2 55 2
#> 357 1 1 1 2 2 3 67 1
#> 358 1 1 1 1 2 3 23 1
#> 359 2 2 1 2 1 2 70 2
#> 360 1 1 1 2 2 4 62 2
#> 361 2 1 1 2 2 3 66 2
#> 362 1 1 1 1 2 2 59 2
#> 363 1 1 1 1 3 3 76 1
#> 364 1 1 2 1 3 4 44 1
#> 365 1 1 1 2 1 2 42 2
#> 366 1 1 1 1 1 4 53 1
#> 367 1 1 1 1 1 4 44 2
#> 368 2 1 1 2 2 3 62 2
#> 369 1 2 1 2 2 2 53 2
#> 370 1 1 1 1 3 4 58 2
#> 371 1 1 1 2 3 3 38 2
#> 372 1 1 1 2 3 3 48 1
#> 373 3 4 1 3 1 3 52 2
#> 374 3 1 2 3 1 1 53 2
#> 375 2 1 1 1 3 1 67 2
#> 376 2 1 1 2 1 1 54 2
#> 377 1 1 1 2 2 1 31 2
#> 378 2 2 1 1 4 4 51 1
#> 379 2 1 1 1 4 4 48 2
#> 380 2 2 1 2 1 2 52 2
#> 381 2 1 2 4 1 4 45 1
#> 382 1 1 1 3 1 2 47 1
#> 383 2 2 1 2 2 4 42 2
#> 384 2 3 1 3 1 2 65 2
#> 385 1 1 1 1 3 4 49 1
#> 386 1 1 1 1 3 3 46 2
#> 387 1 1 1 1 4 4 65 2
#> 388 2 2 4 2 3 3 47 2
#> 389 1 2 1 2 3 4 54 2
#> 390 2 2 1 2 2 1 49 2
#> 391 3 2 1 3 2 2 47 2
#> 392 1 1 1 2 1 3 59 1
#> 393 1 1 1 1 1 3 69 2
#> 394 3 3 2 2 3 3 34 1
#> 395 3 3 2 2 2 3 30 2
#> 396 3 4 3 3 2 3 70 2
#> 397 3 1 2 3 4 3 32 1
#> 398 3 3 2 2 1 2 41 2
#> 399 3 1 2 3 2 2 63 2
#> 400 2 1 1 1 1 4 83 1
#> 401 2 1 2 2 2 3 44 2
#> 402 2 1 2 2 1 3 70 2
#> 403 2 3 1 4 1 2 56 2
#> 404 2 2 1 1 2 4 64 2
#> 405 2 2 3 2 2 2 43 2
#> 406 1 1 1 3 1 3 53 2
#> 407 1 1 1 2 1 4 55 2
#> 408 1 1 1 1 3 3 46 2
#> 409 2 2 1 1 3 1 64 2
#> 410 2 2 1 2 1 1 57 2
#> 411 3 1 1 2 4 4 60 2
#> 412 1 1 1 2 1 3 42 1
#> 413 2 1 1 2 4 2 63 2
#> 414 2 2 1 2 2 2 68 1
#> 415 1 1 1 2 3 3 67 1
#> 416 2 1 1 2 3 3 69 1
#> 417 2 1 1 3 2 2 52 1
#> 418 2 1 1 2 3 2 60 2
#> 419 2 2 2 3 1 2 48 2
#> 420 2 1 1 1 2 3 60 2
#> 421 4 3 1 3 1 3 67 2
#> 422 2 1 2 2 3 4 36 2
#> 423 3 3 1 3 1 3 75 2
#> 424 1 2 1 2 3 3 29 2
#> 425 1 1 1 3 1 2 47 2
#> 426 2 1 1 2 1 1 62 2
#> 427 2 1 1 2 1 3 59 2
#> 428 3 1 1 1 4 4 51 2
#> 429 2 1 1 1 1 4 34 2
#> 430 2 1 1 2 4 4 59 2
#> 431 1 1 1 1 2 3 31 2
#> 432 2 2 1 3 3 3 37 2
#> 433 2 1 1 2 3 2 61 2
#> 434 2 1 1 2 3 3 53 2
#> 435 2 2 1 2 1 2 89 1
#> 436 2 2 1 2 2 3 53 2
#> 437 2 2 1 2 1 2 46 2
#> 438 1 2 1 2 3 4 59 1
#> 439 1 1 1 2 1 3 74 2
#> 440 2 2 1 2 1 2 50 2
#> 441 1 1 1 2 2 3 50 2
#> 442 3 3 1 2 1 4 53 2
#> 443 2 2 2 2 2 4 55 2
#> 444 1 2 1 2 1 2 51 2
#> 445 2 2 1 3 1 2 43 2
#> 446 2 1 1 1 2 3 43 2
#> 447 1 1 2 2 1 3 59 2
#> 448 2 1 1 2 2 1 72 1
#> 449 2 2 2 2 2 2 56 2
#> 450 2 3 2 2 2 3 66 2
#> 451 1 1 1 1 3 3 47 2
#> 452 1 1 1 2 3 4 45 2
#> 453 1 1 1 1 1 4 NA 1
#> 454 1 1 1 1 3 4 23 1
#> 455 1 1 1 1 2 3 25 1
#> 456 3 1 3 3 1 1 57 2
#> 457 1 1 1 1 4 4 53 2
#> 458 1 1 1 1 1 3 64 2
#> 459 1 1 1 1 1 3 56 2
#> 460 2 1 1 2 2 4 41 2
#> 461 1 1 1 2 3 3 58 1
#> 462 2 1 1 1 1 4 76 2
#> 463 2 1 1 2 3 3 69 2
#> 464 1 3 1 3 1 3 56 2
#> 465 3 2 2 1 3 4 75 1
#> 466 2 2 1 2 1 3 53 2
#> 467 2 1 1 2 1 3 53 2
#> 468 1 1 1 1 2 4 58 1
#> 469 1 2 1 1 1 2 48 2
#> 470 1 1 1 1 1 3 35 2
#> 471 3 1 1 4 1 3 59 2
#> 472 1 1 1 1 4 4 34 1
#> 473 2 1 2 1 2 2 39 1
#> 474 1 1 1 2 3 4 56 2
#> 475 1 1 1 2 4 3 60 2
#> 476 1 1 1 1 4 4 43 1
#> 477 2 1 1 3 1 2 56 1
#> 478 3 2 1 2 1 3 38 2
#> 479 1 1 1 1 3 4 54 2
#> 480 1 1 1 2 3 3 25 2
#> 481 4 1 2 4 1 4 66 2
#> 482 1 1 1 1 3 3 58 2
#> 483 1 1 1 1 3 4 75 1
#> 484 1 1 1 1 2 4 30 2
#> 485 2 2 2 1 1 3 42 2
#> 486 2 1 1 2 2 4 38 2
#> 487 2 2 2 2 3 3 63 2
#> 488 1 1 1 1 2 2 57 1
#> 489 1 2 1 1 1 3 41 2
#> 490 1 1 1 1 1 2 64 2
#> 491 1 1 1 2 4 3 32 1
#> 492 1 1 1 1 1 3 38 2
#> 493 1 1 1 2 1 3 65 2
#> 494 1 1 1 2 1 2 31 1
#> 495 2 1 2 2 1 2 43 2
#> 496 1 4 1 1 3 3 29 1
#> 497 1 1 1 2 2 2 62 1
#> 498 2 1 1 2 3 2 46 1
#> 499 2 1 2 3 1 2 43 1
#> 500 1 1 1 2 3 3 44 2
#> 501 4 3 1 4 4 3 47 2
#> 502 1 1 1 1 3 1 49 2
#> 503 1 1 1 2 3 3 46 2
#> 504 3 3 1 3 3 2 46 2
#> 505 1 1 1 1 1 2 60 1
#> 506 2 1 3 4 2 2 65 2
#> 507 2 3 3 2 2 2 32 1
#> 508 2 3 3 2 2 4 72 1
#> 509 1 2 2 3 3 2 35 1
#> 510 4 1 1 4 1 1 61 2
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#> 512 2 1 1 2 2 1 53 2
#> 513 2 2 2 3 2 4 35 2
#> 514 1 1 1 1 2 3 57 2
#> 515 1 1 1 2 1 3 62 1
#> 516 4 2 2 4 2 1 70 2
#> 517 1 1 1 1 2 4 53 1
#> 518 4 1 4 3 3 NA 78 1
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#> 520 1 1 2 1 2 4 58 1
#> 521 1 1 1 1 3 3 62 2
#> 522 4 2 3 4 4 4 48 2
#> 523 1 1 1 2 1 2 51 2
#> 524 1 1 1 2 1 3 35 2
#> 525 1 1 1 1 1 4 59 2
#> 526 1 2 1 2 1 1 42 2
#> 527 1 2 1 1 2 2 52 2
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#> 529 3 2 1 1 1 2 46 2
#> 530 1 2 1 1 3 4 56 2
#> 531 3 4 1 4 1 2 51 2
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#> 533 2 1 1 2 3 3 50 2
#> 534 1 2 1 2 3 3 48 2
#> 535 1 1 1 2 2 3 41 2
#> 536 1 2 1 1 3 3 48 2
#> 537 1 1 1 2 2 3 40 1
#> 538 1 1 1 1 2 3 29 2
#> 539 2 1 4 4 1 3 50 2
#> 540 2 1 1 2 1 2 48 2
#> 541 1 1 NA 3 1 3 63 1
#> 542 1 1 1 1 3 3 54 2
#> 543 1 1 1 2 2 4 65 2
#> 544 1 1 1 1 3 4 52 2
#> 545 1 1 1 1 3 4 41 2
#> 546 1 1 1 1 3 4 44 2
#> 547 1 1 2 1 3 4 53 2
#> 548 2 2 1 3 2 2 62 2
#> 549 2 1 2 3 1 2 42 2
#> 550 1 1 1 2 2 2 31 1
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#> 552 2 1 1 1 3 4 44 1
#> 553 2 1 1 1 1 3 50 2
#> 554 2 1 1 2 3 4 49 2
#> 555 1 1 1 1 3 3 24 2
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#> 557 4 4 4 4 4 4 61 2
#> 558 4 3 3 4 4 4 35 2
#> 559 2 1 1 3 1 4 40 2
#> 560 4 4 4 4 4 4 53 2
#> 561 2 2 1 2 2 4 58 1
#> 562 2 1 1 2 1 4 48 1
#> 563 4 1 1 3 1 4 65 2
#> 564 1 1 1 1 1 1 61 2
#> 565 2 1 1 1 2 4 31 2
#> 566 1 1 1 1 3 4 58 1
#> 567 1 1 1 1 2 4 53 1
#> 568 1 1 1 1 2 4 63 1
#> 569 3 1 2 2 3 3 80 2
#> 570 4 1 1 3 1 4 61 1
#> 571 2 1 1 3 2 3 46 1
#> 572 4 1 2 2 3 3 75 2
#> 573 3 2 4 3 1 2 49 2
#> 574 2 4 2 4 1 3 48 2
#> 575 3 1 2 3 1 2 62 2
#> 576 2 1 1 2 1 1 49 2
#> 577 2 2 1 1 1 2 49 2
#> 578 2 2 2 2 1 3 60 2
#> 579 1 1 1 1 4 4 27 2
#> 580 2 2 2 2 1 3 63 1
#> 581 2 1 1 2 1 4 57 2
#> 582 2 2 1 2 1 2 56 2
#> 583 2 2 2 3 1 2 63 2
#> 584 3 1 1 1 3 1 78 2
#> 585 1 1 1 2 3 3 36 1
#> 586 2 3 1 2 1 2 59 2
#> 587 1 2 1 2 3 3 62 1
#> 588 2 2 1 1 1 1 42 2
#> 589 2 1 1 1 4 2 54 2
#> 590 1 1 1 1 3 4 64 2
#> 591 1 1 1 1 3 2 65 2
#> 592 2 1 1 3 2 2 52 2
#> 593 2 1 1 2 2 2 78 2
#> 594 2 1 1 2 3 4 47 2
#> 595 1 1 1 1 2 4 67 1
#> 596 1 2 3 3 1 2 28 1
#> 597 3 2 1 2 3 3 43 2
#> 598 2 1 1 2 2 2 40 2
#> 599 3 3 1 2 3 3 53 2
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#> 602 2 1 1 1 2 3 58 2
#> 603 3 1 1 3 4 2 43 1
#> 604 1 1 1 1 4 4 54 2
#> 605 1 2 1 1 3 4 28 1
#> 606 1 2 1 2 1 1 57 1
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#> 610 1 1 2 1 3 4 50 1
#> 611 1 2 1 2 2 4 36 2
#> 612 1 1 1 2 2 3 38 2
#> 613 3 2 1 2 2 2 58 2
#> 614 1 1 1 2 4 3 33 2
#> 615 3 1 1 1 1 4 59 2
#> 616 1 2 1 1 3 2 30 2
#> 617 1 1 1 1 2 3 24 1
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#> 619 1 1 1 2 2 3 39 1
#> 620 2 2 1 2 2 4 40 2
#> 621 2 1 1 2 3 2 51 2
#> 622 1 1 1 1 1 3 49 2
#> 623 1 1 1 1 2 3 60 1
#> 624 2 1 1 1 4 4 35 1
#> 625 4 2 2 3 1 1 53 2
#> 626 1 1 1 1 1 4 35 2
#> 627 1 2 1 1 1 4 39 2
#> 628 1 1 1 1 3 3 54 1
#> 629 1 1 1 2 2 3 65 2
#> 630 4 1 1 2 1 4 63 2
#> 631 2 1 1 2 1 4 53 2
#> 632 2 1 2 1 2 2 64 2
#> 633 1 1 2 1 3 2 43 2
#> 634 2 1 2 2 2 1 58 2
#> 635 2 2 2 3 2 1 67 2
#> 636 1 1 1 1 2 3 30 2
#> 637 1 1 1 1 2 3 24 1
#> 638 1 1 1 1 2 3 56 1
#> 639 1 1 1 1 1 3 44 1
#> 640 1 1 1 2 1 2 69 2
#> 641 2 2 1 3 2 2 31 2
#> 642 2 1 1 3 4 4 63 2
#> 643 1 1 1 2 3 4 44 2
#> 644 2 1 2 1 3 4 42 2
#> 645 1 1 1 1 3 4 42 2
#> 646 2 1 2 1 2 3 41 2
#> 647 2 1 2 1 1 3 77 2
#> 648 2 2 1 1 2 3 47 2
#> 649 2 1 1 2 3 3 70 2
#> 650 1 2 1 1 2 3 22 2
#> 651 2 1 1 1 4 4 37 2
#> 652 2 2 1 1 1 4 64 2
#> 653 2 1 1 2 1 2 50 2
#> 654 4 2 1 1 1 4 69 2
#> 655 1 1 1 1 1 4 44 2
#> 656 1 1 1 1 4 4 47 2
#> 657 2 2 1 1 1 4 41 2
#> 658 1 1 1 1 3 4 55 1
#> 659 2 1 1 1 2 4 60 2
#> 660 2 2 1 2 1 4 56 2
#> 661 1 1 1 4 4 4 66 2
#> 662 1 2 1 2 3 3 46 2
#> 663 2 2 2 3 1 2 55 2
#> 664 1 1 1 1 2 4 40 2
#> 665 2 1 1 1 3 3 51 2
#> 666 2 1 1 3 3 3 37 1
#> 667 1 1 1 2 3 3 58 1
#> 668 1 1 1 2 1 1 57 1
#> 669 1 1 1 2 1 2 25 1
#> 670 1 2 1 2 3 3 43 2
#> 671 1 1 2 2 3 1 69 1
#> 672 1 1 1 2 2 2 35 1
#> 673 1 1 1 2 2 2 48 1
#> 674 1 1 1 1 4 4 66 2
#> 675 1 1 1 2 1 1 44 2
#> 676 1 1 1 3 2 4 74 1
#> 677 2 1 1 1 3 4 77 1
#> 678 1 1 1 2 3 4 61 2
#> 679 1 1 1 1 1 3 41 2
#> 680 1 1 1 1 3 4 64 2
#> 681 1 1 1 1 4 3 20 1
#> 682 1 1 1 1 3 3 27 1
#> 683 1 1 1 1 3 4 53 2
#> 684 1 1 1 2 3 3 51 2
#> 685 1 1 1 1 4 3 54 2
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#> 700 2 2 2 4 3 2 46 1
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#> 708 1 1 1 1 2 2 71 2
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#> 712 3 1 1 2 1 3 62 2
#> 713 1 1 1 3 1 2 49 2
#> 714 3 1 1 3 1 3 55 2
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#> 718 1 1 1 1 1 2 61 2
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#> 722 2 1 2 2 4 4 46 2
#> 723 1 1 1 1 3 3 51 1
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#> 726 2 2 1 2 2 2 63 2
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#> 730 1 1 1 2 3 3 18 1
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#> 732 3 3 4 4 1 2 58 2
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#> 735 2 1 1 1 1 4 60 2
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#> 738 1 1 1 1 1 4 59 2
#> 739 1 2 1 4 4 4 65 2
#> 740 1 1 1 1 3 4 64 2
#> 741 4 2 1 4 2 4 52 2
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#> 743 2 1 1 4 2 2 50 2
#> 744 2 1 1 1 4 4 49 2
#> 745 2 1 1 4 4 4 73 2
#> 746 1 1 1 2 3 3 44 2
#> 747 1 1 1 1 1 2 35 2
#> 748 1 1 1 2 1 2 44 2
#> 749 2 1 2 3 4 4 50 2
#> 750 3 2 1 2 2 2 58 1
#> 751 1 1 1 1 2 4 71 1
#> 752 1 1 1 1 3 4 60 1
#> 753 2 2 1 3 2 3 49 2
#> 754 2 1 1 2 1 3 62 2
#> 755 1 1 1 2 3 1 59 2
#> 756 1 1 1 2 2 3 57 1
#> 757 2 1 1 1 1 4 50 2
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#> 765 1 1 1 1 2 4 60 2
#> 766 1 1 1 1 3 4 19 1
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#> 773 1 1 1 2 1 4 65 2
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#> 793 1 1 1 2 2 1 70 2
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#> 795 1 1 1 1 1 4 23 1
#> 796 1 1 1 2 1 2 22 1
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#> 807 1 1 1 1 3 4 69 2
#> 808 1 1 1 1 3 4 63 2
#> 809 1 1 1 2 4 4 77 2
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#> 811 1 1 1 2 2 2 29 2
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#> 815 1 2 1 1 2 3 38 2
#> 816 1 2 1 3 2 3 45 2
#> 817 2 2 1 3 2 2 70 2
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#> 819 1 1 1 2 2 4 53 1
#> 820 1 1 1 1 1 2 35 2
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#> 833 1 1 1 1 3 4 55 2
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#> 845 1 1 1 2 4 2 43 2
#> 846 1 1 1 2 1 1 41 1
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#> 850 2 1 1 1 3 3 44 2
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#> 856 1 1 1 1 3 3 31 2
#> 857 1 1 1 1 4 4 44 2
#> 858 2 1 1 2 3 3 34 2
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#> 862 1 1 1 2 3 4 45 2
#> 863 1 2 1 2 2 3 54 2
#> 864 1 2 1 2 2 2 57 1
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#> 866 1 1 1 1 3 4 28 2
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#> 872 1 1 1 1 1 2 33 2
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#> 878 2 1 1 2 1 2 39 2
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#> 882 1 1 1 1 4 3 34 2
#> 883 1 1 1 2 2 1 53 2
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#> 885 2 3 3 2 3 3 39 2
#> 886 3 3 2 3 3 4 74 2
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#> 888 1 1 1 1 3 4 41 2
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#> 897 2 1 2 3 1 2 38 2
#> 898 2 1 1 1 3 4 82 2
#> 899 1 1 1 1 1 3 36 1
#> 900 4 1 2 2 1 3 71 2
#> 901 1 2 1 2 2 4 44 2
#> 902 1 2 1 2 4 3 45 2
#> 903 NA NA NA NA NA NA NA NA
#> 904 NA NA NA NA NA NA NA NA
#> 905 NA NA NA NA NA NA NA NA
#> 906 NA NA NA NA NA NA NA NA
#> 907 NA NA NA NA NA NA NA NA
#> 908 NA NA NA NA NA NA NA NA
#> c172code c175empl barthtot neg_c_7 pos_v_4 quol_5
#> 1 intermediate level of education 1 75 12 12 14
#> 2 intermediate level of education 1 75 20 11 10
#> 3 low level of education 0 35 11 13 7
#> 4 intermediate level of education 0 0 10 15 12
#> 5 intermediate level of education 0 25 12 15 19
#> 6 intermediate level of education 1 60 19 9 8
#> 7 intermediate level of education 0 5 15 13 20
#> 8 intermediate level of education 0 35 11 14 20
#> 9 <NA> 0 15 15 13 8
#> 10 intermediate level of education 0 0 10 13 15
#> 11 intermediate level of education 0 25 28 9 1
#> 12 intermediate level of education 1 85 18 8 19
#> 13 high level of education 0 15 13 14 12
#> 14 low level of education 0 70 18 14 8
#> 15 high level of education 1 NA 16 9 8
#> 16 intermediate level of education 0 0 13 14 6
#> 17 intermediate level of education 0 95 11 15 16
#> 18 intermediate level of education 0 55 11 13 14
#> 19 high level of education 1 55 13 13 15
#> 20 high level of education 1 45 17 12 10
#> 21 intermediate level of education 1 0 11 11 15
#> 22 intermediate level of education 0 70 9 12 21
#> 23 intermediate level of education 1 20 8 15 18
#> 24 intermediate level of education 0 0 14 15 15
#> 25 intermediate level of education 0 95 11 14 16
#> 26 intermediate level of education 0 10 23 12 0
#> 27 high level of education 0 75 NA 10 10
#> 28 intermediate level of education 0 90 11 9 14
#> 29 intermediate level of education 0 60 15 11 4
#> 30 low level of education 0 20 11 NA 15
#> 31 intermediate level of education 1 NA 25 13 9
#> 32 low level of education 0 50 9 12 18
#> 33 intermediate level of education 0 75 15 9 12
#> 34 intermediate level of education 0 50 20 12 1
#> 35 intermediate level of education 0 30 9 15 4
#> 36 low level of education 0 0 10 14 13
#> 37 intermediate level of education 0 30 19 9 4
#> 38 intermediate level of education 0 90 8 14 16
#> 39 intermediate level of education 0 15 17 15 11
#> 40 intermediate level of education 1 70 16 12 5
#> 41 high level of education 1 85 17 12 11
#> 42 intermediate level of education 0 NA 14 14 14
#> 43 high level of education 0 0 14 11 8
#> 44 intermediate level of education 0 30 16 11 16
#> 45 intermediate level of education 0 60 19 12 9
#> 46 intermediate level of education 0 25 NA 10 13
#> 47 intermediate level of education 0 NA 17 9 9
#> 48 <NA> 0 30 15 12 9
#> 49 <NA> 0 85 16 14 14
#> 50 intermediate level of education 0 0 19 6 18
#> 51 intermediate level of education 0 0 17 15 4
#> 52 intermediate level of education 0 0 10 NA 15
#> 53 intermediate level of education 0 10 14 7 9
#> 54 intermediate level of education 0 10 14 10 9
#> 55 high level of education 0 20 9 15 20
#> 56 intermediate level of education 1 0 12 14 14
#> 57 intermediate level of education 0 0 25 NA 10
#> 58 high level of education 1 50 NA 8 3
#> 59 intermediate level of education 0 85 17 9 5
#> 60 intermediate level of education 0 5 22 7 0
#> 61 <NA> 1 0 13 15 0
#> 62 intermediate level of education 0 40 15 15 15
#> 63 <NA> 0 50 7 15 20
#> 64 high level of education 1 80 19 11 5
#> 65 intermediate level of education 1 70 11 NA 18
#> 66 high level of education 1 70 15 15 16
#> 67 high level of education 0 65 13 8 5
#> 68 intermediate level of education 0 90 11 12 19
#> 69 intermediate level of education 0 0 14 NA 1
#> 70 <NA> 0 50 17 11 NA
#> 71 intermediate level of education 0 70 7 16 19
#> 72 intermediate level of education 0 70 15 12 11
#> 73 intermediate level of education 0 45 11 13 10
#> 74 high level of education 0 40 19 8 4
#> 75 high level of education 1 20 10 15 19
#> 76 intermediate level of education 0 85 10 13 13
#> 77 low level of education 1 15 20 8 5
#> 78 intermediate level of education 1 85 10 12 21
#> 79 high level of education 1 80 12 8 15
#> 80 intermediate level of education 0 20 15 10 9
#> 81 intermediate level of education 0 NA 7 16 23
#> 82 intermediate level of education 0 85 13 13 NA
#> 83 intermediate level of education 0 45 12 14 7
#> 84 intermediate level of education 1 NA 16 11 1
#> 85 intermediate level of education 0 50 10 14 14
#> 86 intermediate level of education 0 0 15 15 4
#> 87 intermediate level of education 0 10 15 11 4
#> 88 intermediate level of education 0 50 15 12 12
#> 89 high level of education 1 35 25 10 3
#> 90 intermediate level of education 0 50 11 NA NA
#> 91 low level of education 0 75 10 13 13
#> 92 intermediate level of education 0 95 11 15 20
#> 93 intermediate level of education 0 95 14 12 8
#> 94 <NA> 0 100 10 14 21
#> 95 <NA> 0 80 10 13 19
#> 96 intermediate level of education 0 90 13 NA 3
#> 97 <NA> 0 75 12 NA 14
#> 98 <NA> 0 60 10 10 17
#> 99 low level of education 0 NA 11 14 NA
#> 100 intermediate level of education 0 60 18 10 11
#> 101 <NA> 0 65 14 9 11
#> 102 intermediate level of education 0 75 12 11 15
#> 103 low level of education 0 80 10 16 17
#> 104 <NA> 1 0 9 10 12
#> 105 intermediate level of education 0 30 13 13 16
#> 106 intermediate level of education 0 65 14 13 8
#> 107 low level of education 0 80 10 15 13
#> 108 <NA> 0 90 10 13 22
#> 109 intermediate level of education 1 65 13 12 15
#> 110 intermediate level of education 1 55 13 12 17
#> 111 intermediate level of education 0 50 12 15 13
#> 112 intermediate level of education 1 75 12 10 13
#> 113 high level of education 0 35 18 10 3
#> 114 intermediate level of education 1 15 7 16 25
#> 115 intermediate level of education 1 25 13 13 9
#> 116 low level of education 0 80 14 13 10
#> 117 intermediate level of education 0 80 11 13 14
#> 118 intermediate level of education 0 80 16 12 10
#> 119 low level of education 0 30 15 11 10
#> 120 low level of education 0 70 15 10 5
#> 121 high level of education 0 55 9 16 18
#> 122 low level of education 0 55 17 NA 11
#> 123 low level of education 0 5 17 NA 7
#> 124 intermediate level of education 0 35 22 10 3
#> 125 intermediate level of education 0 100 16 13 13
#> 126 intermediate level of education 0 5 14 12 14
#> 127 intermediate level of education 1 100 9 NA 5
#> 128 intermediate level of education 0 0 13 NA 8
#> 129 high level of education 0 80 9 15 8
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#> 131 low level of education 0 80 17 8 7
#> 132 intermediate level of education 1 70 9 14 16
#> 133 low level of education 0 0 13 13 11
#> 134 low level of education 1 75 NA NA 11
#> 135 intermediate level of education 1 60 14 11 10
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#> 138 intermediate level of education 1 75 7 15 17
#> 139 low level of education 0 0 10 16 20
#> 140 intermediate level of education 0 80 12 14 4
#> 141 intermediate level of education 1 55 20 10 5
#> 142 <NA> 0 45 12 10 18
#> 143 intermediate level of education 0 60 14 10 13
#> 144 intermediate level of education 0 60 NA NA 23
#> 145 intermediate level of education 0 35 12 13 14
#> 146 high level of education 0 40 10 14 15
#> 147 <NA> 0 10 NA 13 14
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#> 149 low level of education 0 45 11 12 19
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#> 151 intermediate level of education 0 15 11 16 18
#> 152 intermediate level of education 0 10 13 12 10
#> 153 high level of education 1 75 10 12 17
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#> 157 high level of education 1 60 9 12 18
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#> 159 high level of education 0 60 12 12 13
#> 160 high level of education 0 45 11 13 14
#> 161 high level of education 0 65 14 10 15
#> 162 high level of education 1 50 16 13 5
#> 163 <NA> 1 30 18 7 1
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#> 165 high level of education 0 75 11 15 14
#> 166 high level of education 0 0 14 16 8
#> 167 <NA> 1 70 NA NA 17
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#> 169 intermediate level of education 1 75 12 8 14
#> 170 high level of education 1 30 10 NA 17
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#> 173 intermediate level of education 0 75 8 15 21
#> 174 low level of education 0 75 10 16 17
#> 175 intermediate level of education 1 35 11 16 13
#> 176 high level of education 1 50 10 12 19
#> 177 intermediate level of education 0 65 11 10 19
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#> 180 intermediate level of education 0 15 10 14 19
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#> 182 high level of education 1 85 12 13 19
#> 183 intermediate level of education 0 70 15 8 8
#> 184 <NA> 1 60 10 13 16
#> 185 low level of education 0 15 16 NA 4
#> 186 intermediate level of education 0 15 13 14 0
#> 187 high level of education 1 5 NA 14 11
#> 188 high level of education 0 45 20 11 7
#> 189 low level of education 0 85 7 13 17
#> 190 intermediate level of education 0 45 12 14 19
#> 191 high level of education 1 50 17 13 17
#> 192 high level of education 0 30 14 14 17
#> 193 <NA> 0 95 10 10 11
#> 194 intermediate level of education 0 0 12 13 11
#> 195 intermediate level of education 0 75 9 15 8
#> 196 low level of education 0 95 7 14 14
#> 197 high level of education 0 55 16 NA 11
#> 198 high level of education 1 NA 13 NA 2
#> 199 low level of education 0 NA 14 11 20
#> 200 <NA> 0 85 8 12 6
#> 201 <NA> 0 90 8 16 12
#> 202 intermediate level of education 1 10 20 5 1
#> 203 high level of education 0 65 7 16 17
#> 204 intermediate level of education 1 NA 15 6 10
#> 205 low level of education 0 75 7 14 13
#> 206 intermediate level of education 1 90 9 13 17
#> 207 intermediate level of education 0 0 14 13 12
#> 208 intermediate level of education 0 25 11 16 7
#> 209 low level of education 0 75 12 15 14
#> 210 <NA> 0 55 11 12 14
#> 211 high level of education 0 65 12 12 15
#> 212 high level of education 0 55 18 11 17
#> 213 high level of education 1 70 8 13 20
#> 214 high level of education 0 30 13 8 9
#> 215 high level of education 1 85 16 14 15
#> 216 intermediate level of education 1 75 8 15 17
#> 217 intermediate level of education 1 40 13 16 17
#> 218 intermediate level of education 0 40 14 8 17
#> 219 low level of education 0 75 11 15 21
#> 220 high level of education 1 100 8 14 25
#> 221 intermediate level of education 1 60 12 10 16
#> 222 high level of education 0 40 24 13 16
#> 223 intermediate level of education 0 70 11 13 14
#> 224 intermediate level of education 1 65 11 13 9
#> 225 low level of education 0 15 13 13 17
#> 226 high level of education 1 60 9 11 8
#> 227 low level of education 0 45 13 15 18
#> 228 intermediate level of education 0 65 20 9 7
#> 229 high level of education 0 95 12 14 10
#> 230 intermediate level of education 0 100 16 12 0
#> 231 high level of education 1 60 15 14 13
#> 232 <NA> 0 75 20 12 16
#> 233 <NA> 0 15 10 15 18
#> 234 <NA> 1 80 12 10 11
#> 235 <NA> 1 45 12 13 5
#> 236 <NA> 1 60 12 10 20
#> 237 intermediate level of education 1 95 11 15 15
#> 238 intermediate level of education 1 90 10 13 14
#> 239 intermediate level of education 1 95 9 15 20
#> 240 intermediate level of education 0 85 10 14 20
#> 241 intermediate level of education 1 95 8 12 17
#> 242 intermediate level of education 0 70 10 13 20
#> 243 low level of education 0 70 12 10 13
#> 244 <NA> 1 85 10 13 14
#> 245 intermediate level of education 0 65 9 13 18
#> 246 intermediate level of education 1 75 11 15 19
#> 247 intermediate level of education 0 95 7 13 15
#> 248 intermediate level of education 1 100 9 10 20
#> 249 low level of education 0 80 11 14 17
#> 250 <NA> 1 60 11 11 15
#> 251 <NA> 0 100 12 10 13
#> 252 low level of education 1 75 11 10 18
#> 253 <NA> 0 100 14 14 3
#> 254 intermediate level of education 0 10 12 11 8
#> 255 intermediate level of education 1 100 12 10 10
#> 256 intermediate level of education 0 75 19 10 3
#> 257 intermediate level of education 1 95 12 14 14
#> 258 low level of education 0 15 15 11 13
#> 259 intermediate level of education 0 90 11 12 20
#> 260 high level of education 1 90 17 12 20
#> 261 intermediate level of education 0 60 8 12 18
#> 262 high level of education 0 30 13 14 8
#> 263 intermediate level of education 0 40 11 10 20
#> 264 low level of education 0 80 10 13 16
#> 265 intermediate level of education 0 75 8 15 19
#> 266 <NA> 0 75 10 12 15
#> 267 intermediate level of education 1 90 19 9 19
#> 268 high level of education 0 NA NA 8 NA
#> 269 intermediate level of education 1 100 10 12 14
#> 270 low level of education 1 65 18 9 13
#> 271 low level of education 1 85 8 12 20
#> 272 low level of education 1 70 11 11 16
#> 273 intermediate level of education 1 85 9 11 16
#> 274 low level of education 1 90 10 13 20
#> 275 intermediate level of education 0 60 13 11 14
#> 276 low level of education 1 60 11 12 15
#> 277 <NA> 0 70 9 12 19
#> 278 <NA> 1 70 9 12 15
#> 279 low level of education 0 95 9 14 16
#> 280 high level of education 0 75 8 15 21
#> 281 low level of education 0 90 9 15 19
#> 282 intermediate level of education 1 95 8 15 19
#> 283 intermediate level of education 1 100 8 15 20
#> 284 intermediate level of education 1 100 11 15 17
#> 285 intermediate level of education 1 100 9 14 16
#> 286 intermediate level of education 1 100 10 15 15
#> 287 intermediate level of education 1 NA 12 8 12
#> 288 high level of education 1 80 9 14 14
#> 289 intermediate level of education 1 65 17 11 9
#> 290 intermediate level of education 0 25 20 11 0
#> 291 intermediate level of education 1 90 12 8 11
#> 292 low level of education 0 65 7 14 16
#> 293 intermediate level of education 0 90 9 9 16
#> 294 low level of education 0 55 7 16 12
#> 295 low level of education 1 60 8 12 7
#> 296 low level of education 1 95 8 12 3
#> 297 intermediate level of education 1 70 14 13 17
#> 298 intermediate level of education 0 80 7 13 19
#> 299 high level of education 0 80 10 13 15
#> 300 intermediate level of education 1 95 8 15 18
#> 301 low level of education 0 50 16 12 12
#> 302 intermediate level of education 0 40 9 11 15
#> 303 intermediate level of education 1 70 16 11 6
#> 304 intermediate level of education 0 60 13 15 17
#> 305 intermediate level of education 0 100 8 15 20
#> 306 intermediate level of education 0 75 20 16 1
#> 307 intermediate level of education 1 55 16 12 6
#> 308 intermediate level of education 0 95 9 13 16
#> 309 high level of education 0 85 9 10 17
#> 310 low level of education 0 90 8 14 16
#> 311 intermediate level of education 0 65 15 12 11
#> 312 high level of education 1 50 16 11 18
#> 313 intermediate level of education 1 55 19 11 17
#> 314 high level of education 0 10 8 15 20
#> 315 intermediate level of education 1 80 12 12 15
#> 316 intermediate level of education 0 60 17 13 11
#> 317 intermediate level of education 0 50 12 11 12
#> 318 intermediate level of education 1 45 14 11 11
#> 319 intermediate level of education 0 95 11 11 12
#> 320 low level of education 0 95 9 16 16
#> 321 <NA> 1 75 11 14 11
#> 322 intermediate level of education 1 100 9 16 21
#> 323 high level of education 1 100 8 14 19
#> 324 high level of education 0 0 10 12 13
#> 325 high level of education 1 85 8 12 17
#> 326 low level of education 0 60 10 12 12
#> 327 intermediate level of education 1 70 15 12 8
#> 328 low level of education 0 55 13 10 15
#> 329 intermediate level of education 0 100 8 15 17
#> 330 intermediate level of education 0 100 10 9 9
#> 331 intermediate level of education 1 100 10 12 12
#> 332 intermediate level of education 0 15 12 13 8
#> 333 intermediate level of education 0 50 14 14 11
#> 334 low level of education 0 0 12 15 12
#> 335 intermediate level of education 0 85 7 16 24
#> 336 high level of education 1 75 8 16 25
#> 337 low level of education 0 50 16 9 13
#> 338 intermediate level of education 0 65 9 16 19
#> 339 high level of education 0 75 16 13 12
#> 340 intermediate level of education 1 100 7 16 20
#> 341 intermediate level of education 1 100 8 15 20
#> 342 intermediate level of education 1 90 13 15 17
#> 343 intermediate level of education 1 100 9 9 21
#> 344 intermediate level of education 1 95 7 16 18
#> 345 intermediate level of education 1 55 9 13 20
#> 346 intermediate level of education 1 80 9 12 10
#> 347 intermediate level of education 1 80 8 13 15
#> 348 high level of education 1 50 17 10 12
#> 349 intermediate level of education 1 100 7 16 16
#> 350 high level of education 1 90 8 14 20
#> 351 high level of education 0 10 9 11 19
#> 352 low level of education 0 100 7 15 20
#> 353 intermediate level of education 0 75 10 9 15
#> 354 low level of education 1 95 10 12 16
#> 355 low level of education 1 70 11 11 15
#> 356 low level of education 0 60 18 9 13
#> 357 intermediate level of education 0 35 9 12 16
#> 358 intermediate level of education 0 NA 10 13 20
#> 359 low level of education 0 65 13 10 13
#> 360 low level of education 0 100 8 13 19
#> 361 low level of education 0 55 12 12 16
#> 362 intermediate level of education 0 75 9 11 17
#> 363 low level of education 0 95 7 14 18
#> 364 low level of education 0 70 10 15 18
#> 365 intermediate level of education 1 85 8 13 18
#> 366 low level of education 1 100 7 16 21
#> 367 intermediate level of education 1 100 7 16 21
#> 368 <NA> 0 70 12 12 19
#> 369 <NA> 0 90 12 11 16
#> 370 intermediate level of education 1 90 9 15 18
#> 371 intermediate level of education 1 90 8 14 17
#> 372 intermediate level of education 1 50 10 13 18
#> 373 intermediate level of education 1 25 18 13 1
#> 374 intermediate level of education 1 95 16 8 8
#> 375 intermediate level of education 0 90 11 12 8
#> 376 low level of education 1 65 15 7 15
#> 377 intermediate level of education 1 65 10 13 16
#> 378 intermediate level of education 1 85 9 16 20
#> 379 intermediate level of education 1 35 9 13 15
#> 380 intermediate level of education 1 5 12 11 14
#> 381 intermediate level of education 0 35 18 11 10
#> 382 intermediate level of education 1 85 12 9 4
#> 383 intermediate level of education 1 50 13 13 15
#> 384 intermediate level of education 0 40 17 10 13
#> 385 low level of education 0 70 9 14 19
#> 386 intermediate level of education 1 100 8 12 19
#> 387 intermediate level of education 0 95 7 15 20
#> 388 <NA> 0 20 16 14 7
#> 389 low level of education 1 85 12 14 13
#> 390 intermediate level of education 0 75 14 8 9
#> 391 intermediate level of education 0 10 15 10 11
#> 392 high level of education 1 80 10 12 17
#> 393 low level of education 0 100 9 12 15
#> 394 high level of education 1 65 17 13 18
#> 395 intermediate level of education 0 60 17 12 21
#> 396 intermediate level of education 0 10 21 12 16
#> 397 high level of education 1 55 17 11 16
#> 398 high level of education 1 55 17 11 21
#> 399 low level of education 0 25 15 12 10
#> 400 high level of education 0 65 9 15 7
#> 401 low level of education 0 10 12 13 17
#> 402 low level of education 0 55 12 13 15
#> 403 intermediate level of education 0 40 22 10 7
#> 404 intermediate level of education 1 80 11 15 19
#> 405 intermediate level of education 0 100 14 12 14
#> 406 intermediate level of education 1 100 11 10 19
#> 407 low level of education 0 75 9 13 20
#> 408 low level of education 0 85 8 12 18
#> 409 intermediate level of education 0 35 12 7 11
#> 410 intermediate level of education 1 65 13 12 16
#> 411 intermediate level of education 0 10 13 15 10
#> 412 intermediate level of education 1 95 9 11 15
#> 413 low level of education 1 95 10 12 15
#> 414 intermediate level of education 0 80 12 12 15
#> 415 intermediate level of education 0 90 9 12 19
#> 416 high level of education 0 85 11 12 16
#> 417 high level of education 1 95 13 10 14
#> 418 high level of education 0 45 11 12 17
#> 419 high level of education 1 15 17 11 17
#> 420 intermediate level of education 0 55 10 12 10
#> 421 low level of education 0 50 18 12 9
#> 422 intermediate level of education 0 70 10 13 13
#> 423 high level of education 0 15 16 14 14
#> 424 intermediate level of education 1 70 10 12 18
#> 425 intermediate level of education 1 40 10 10 11
#> 426 intermediate level of education 0 5 14 10 14
#> 427 high level of education 1 70 11 13 20
#> 428 intermediate level of education 0 35 11 14 12
#> 429 intermediate level of education 1 10 10 14 18
#> 430 intermediate level of education 1 75 11 16 15
#> 431 high level of education 1 95 8 11 20
#> 432 high level of education 1 70 15 11 8
#> 433 intermediate level of education 0 80 12 12 15
#> 434 low level of education 1 95 10 13 20
#> 435 intermediate level of education 0 85 13 11 9
#> 436 intermediate level of education 1 100 13 12 13
#> 437 intermediate level of education 1 75 13 9 7
#> 438 high level of education 0 30 12 12 16
#> 439 <NA> 1 80 9 15 24
#> 440 low level of education 1 80 13 9 17
#> 441 low level of education 1 NA 10 10 21
#> 442 intermediate level of education 0 50 15 15 11
#> 443 intermediate level of education 1 40 18 15 15
#> 444 high level of education 1 85 11 12 17
#> 445 low level of education 1 75 14 7 13
#> 446 intermediate level of education 1 15 11 13 12
#> 447 intermediate level of education 0 65 12 13 17
#> 448 intermediate level of education 0 40 12 11 15
#> 449 intermediate level of education 1 60 14 10 20
#> 450 low level of education 0 60 15 13 18
#> 451 intermediate level of education 0 85 8 15 20
#> 452 intermediate level of education 1 100 10 13 8
#> 453 high level of education 1 100 9 14 14
#> 454 intermediate level of education 1 95 7 15 18
#> 455 intermediate level of education 0 80 8 13 9
#> 456 high level of education 1 35 18 7 5
#> 457 low level of education 1 95 7 16 18
#> 458 low level of education 0 25 7 13 19
#> 459 high level of education 1 95 7 14 18
#> 460 high level of education 1 95 11 15 14
#> 461 high level of education 1 80 8 13 19
#> 462 intermediate level of education 0 75 11 14 13
#> 463 intermediate level of education 0 0 11 12 7
#> 464 low level of education 0 45 16 10 12
#> 465 intermediate level of education 0 15 13 12 16
#> 466 intermediate level of education 0 15 14 13 5
#> 467 low level of education 0 15 14 12 17
#> 468 low level of education 1 90 7 15 14
#> 469 intermediate level of education 1 90 9 12 17
#> 470 intermediate level of education 1 95 7 13 20
#> 471 low level of education 0 15 17 13 15
#> 472 intermediate level of education 1 95 7 16 20
#> 473 intermediate level of education 0 85 10 12 18
#> 474 intermediate level of education 1 100 9 14 21
#> 475 low level of education 0 100 9 14 18
#> 476 intermediate level of education 1 NA 7 16 23
#> 477 low level of education 0 35 12 11 11
#> 478 intermediate level of education 0 90 14 12 20
#> 479 intermediate level of education 0 100 7 15 20
#> 480 intermediate level of education 1 75 10 13 13
#> 481 low level of education 0 10 20 15 13
#> 482 high level of education 1 85 7 11 11
#> 483 high level of education 0 65 8 16 20
#> 484 intermediate level of education 0 55 9 14 19
#> 485 high level of education 0 55 11 13 15
#> 486 intermediate level of education 0 55 10 16 20
#> 487 <NA> 0 60 14 14 14
#> 488 <NA> 1 100 7 11 17
#> 489 <NA> 1 100 8 15 15
#> 490 low level of education 0 80 8 12 19
#> 491 low level of education 1 75 10 13 20
#> 492 low level of education 1 75 8 12 16
#> 493 low level of education 0 45 12 12 14
#> 494 low level of education 1 75 10 10 24
#> 495 low level of education 1 65 14 10 15
#> 496 intermediate level of education 1 75 11 12 20
#> 497 low level of education 0 85 8 12 20
#> 498 low level of education 1 65 11 10 16
#> 499 low level of education 1 65 17 9 13
#> 500 high level of education 1 95 10 12 15
#> 501 low level of education 1 85 22 13 1
#> 502 intermediate level of education 1 0 8 12 21
#> 503 low level of education 1 85 9 13 12
#> 504 intermediate level of education 1 75 19 12 2
#> 505 intermediate level of education 1 10 11 11 3
#> 506 intermediate level of education 0 40 18 11 13
#> 507 intermediate level of education 1 65 16 11 16
#> 508 intermediate level of education 0 45 18 11 19
#> 509 intermediate level of education 1 55 15 10 19
#> 510 intermediate level of education 0 45 19 6 23
#> 511 intermediate level of education 0 90 10 13 17
#> 512 intermediate level of education 0 60 13 9 13
#> 513 intermediate level of education 1 50 15 15 18
#> 514 low level of education 1 90 7 14 17
#> 515 low level of education 0 80 8 15 19
#> 516 intermediate level of education 0 70 22 8 4
#> 517 intermediate level of education 1 50 8 15 20
#> 518 <NA> 0 20 20 NA 3
#> 519 low level of education 0 0 19 12 4
#> 520 intermediate level of education 1 95 10 13 18
#> 521 high level of education 0 95 7 13 18
#> 522 high level of education 1 55 25 14 4
#> 523 low level of education 0 85 9 12 24
#> 524 intermediate level of education 1 80 11 12 13
#> 525 intermediate level of education 1 80 7 16 23
#> 526 intermediate level of education 1 80 11 9 14
#> 527 intermediate level of education 0 90 9 11 18
#> 528 intermediate level of education 1 90 8 15 16
#> 529 intermediate level of education 0 90 12 9 11
#> 530 intermediate level of education 1 90 9 15 16
#> 531 intermediate level of education 0 45 20 8 7
#> 532 intermediate level of education 1 100 7 16 20
#> 533 intermediate level of education 0 45 12 12 18
#> 534 intermediate level of education 0 90 9 13 18
#> 535 intermediate level of education 1 95 9 12 17
#> 536 high level of education 1 100 8 13 12
#> 537 high level of education 1 100 10 12 3
#> 538 intermediate level of education 1 0 8 11 16
#> 539 intermediate level of education 1 60 17 8 6
#> 540 intermediate level of education 0 NA 12 12 15
#> 541 intermediate level of education 0 45 NA 12 15
#> 542 intermediate level of education 1 75 9 14 19
#> 543 intermediate level of education 0 80 9 15 21
#> 544 intermediate level of education 0 100 8 13 14
#> 545 high level of education 0 95 7 15 20
#> 546 intermediate level of education 0 80 8 14 17
#> 547 intermediate level of education 1 65 9 16 19
#> 548 low level of education 0 25 17 12 13
#> 549 low level of education 1 75 17 9 13
#> 550 low level of education 1 75 8 10 17
#> 551 intermediate level of education 0 55 9 15 16
#> 552 intermediate level of education 0 100 9 15 9
#> 553 intermediate level of education 1 100 10 12 6
#> 554 intermediate level of education 0 100 9 16 10
#> 555 intermediate level of education 0 90 7 12 16
#> 556 intermediate level of education 1 100 8 16 20
#> 557 low level of education 0 15 27 15 16
#> 558 low level of education 0 0 25 15 17
#> 559 low level of education 0 15 14 15 12
#> 560 low level of education 1 55 28 15 21
#> 561 low level of education 0 35 16 15 23
#> 562 intermediate level of education 1 60 11 16 22
#> 563 low level of education 0 35 15 13 8
#> 564 intermediate level of education 1 75 7 11 16
#> 565 high level of education 0 50 9 16 18
#> 566 intermediate level of education 1 90 7 15 25
#> 567 intermediate level of education 1 100 7 16 18
#> 568 low level of education 0 65 8 14 20
#> 569 low level of education 0 50 13 12 5
#> 570 high level of education 0 5 19 11 5
#> 571 intermediate level of education 1 50 15 11 25
#> 572 low level of education 0 5 14 13 10
#> 573 intermediate level of education 1 0 20 11 18
#> 574 low level of education 0 45 20 11 7
#> 575 low level of education 0 10 14 11 1
#> 576 intermediate level of education 1 65 10 12 7
#> 577 intermediate level of education 0 45 11 10 6
#> 578 high level of education 1 95 15 10 13
#> 579 <NA> 1 45 7 16 20
#> 580 intermediate level of education 0 65 14 11 14
#> 581 <NA> 1 0 11 15 16
#> 582 low level of education 0 95 13 10 13
#> 583 high level of education 0 80 16 8 7
#> 584 low level of education 0 65 13 10 4
#> 585 intermediate level of education 1 100 10 13 18
#> 586 intermediate level of education 0 100 17 8 11
#> 587 intermediate level of education 0 95 10 13 18
#> 588 intermediate level of education 1 0 12 12 12
#> 589 intermediate level of education 1 50 11 12 11
#> 590 low level of education 0 40 7 14 17
#> 591 low level of education 0 80 8 12 19
#> 592 intermediate level of education 0 0 15 9 9
#> 593 low level of education 0 30 13 10 10
#> 594 low level of education 0 45 11 14 14
#> 595 intermediate level of education 1 35 7 16 19
#> 596 intermediate level of education 1 5 18 8 8
#> 597 intermediate level of education 0 50 17 10 9
#> 598 low level of education 1 90 12 11 20
#> 599 low level of education 0 0 18 9 16
#> 600 intermediate level of education 0 10 17 12 10
#> 601 high level of education 0 50 13 13 9
#> 602 low level of education 0 10 10 13 12
#> 603 intermediate level of education 1 65 19 11 2
#> 604 intermediate level of education 0 100 7 14 20
#> 605 high level of education 1 95 8 14 18
#> 606 high level of education 0 95 10 7 16
#> 607 intermediate level of education 1 100 18 13 19
#> 608 low level of education 1 95 17 11 20
#> 609 high level of education 1 90 19 13 19
#> 610 intermediate level of education 0 90 8 16 24
#> 611 intermediate level of education 0 75 12 14 7
#> 612 intermediate level of education 0 50 10 13 13
#> 613 intermediate level of education 0 45 14 10 10
#> 614 intermediate level of education 1 30 10 15 17
#> 615 intermediate level of education 1 85 13 13 20
#> 616 intermediate level of education 1 85 9 11 19
#> 617 intermediate level of education 1 65 8 14 14
#> 618 intermediate level of education 0 85 8 16 22
#> 619 high level of education 0 80 9 12 17
#> 620 low level of education 0 40 15 15 17
#> 621 intermediate level of education 0 85 11 10 12
#> 622 intermediate level of education 0 95 7 12 20
#> 623 intermediate level of education 0 85 8 11 18
#> 624 intermediate level of education 0 45 11 16 21
#> 625 high level of education 0 60 21 6 5
#> 626 intermediate level of education 1 85 8 15 21
#> 627 intermediate level of education 0 30 11 15 17
#> 628 high level of education 1 25 10 14 18
#> 629 high level of education 0 80 10 14 20
#> 630 <NA> 0 85 11 14 25
#> 631 <NA> 0 85 10 13 8
#> 632 low level of education 0 25 11 11 16
#> 633 low level of education 1 90 9 11 17
#> 634 high level of education 0 90 13 11 7
#> 635 high level of education 0 55 17 9 12
#> 636 intermediate level of education 1 100 9 10 18
#> 637 intermediate level of education 1 75 8 12 18
#> 638 low level of education 0 85 8 12 16
#> 639 intermediate level of education 1 80 9 14 18
#> 640 intermediate level of education 0 55 13 10 19
#> 641 intermediate level of education 0 85 14 10 5
#> 642 intermediate level of education 0 60 14 15 21
#> 643 intermediate level of education 0 65 9 16 20
#> 644 high level of education 0 60 12 16 20
#> 645 intermediate level of education 0 75 8 16 21
#> 646 intermediate level of education 0 70 11 12 20
#> 647 intermediate level of education 0 NA 10 12 14
#> 648 high level of education 1 40 11 12 18
#> 649 intermediate level of education 0 80 11 13 14
#> 650 intermediate level of education 1 90 10 12 18
#> 651 intermediate level of education 1 90 10 15 13
#> 652 intermediate level of education 0 60 10 15 17
#> 653 intermediate level of education 0 45 12 9 11
#> 654 intermediate level of education 0 20 13 11 18
#> 655 intermediate level of education 1 100 7 16 18
#> 656 intermediate level of education 1 95 8 15 17
#> 657 high level of education 1 65 12 15 19
#> 658 intermediate level of education 1 75 8 15 19
#> 659 low level of education 0 75 8 16 20
#> 660 intermediate level of education 0 45 13 15 17
#> 661 intermediate level of education 0 80 10 15 16
#> 662 intermediate level of education 1 90 12 12 12
#> 663 high level of education 1 95 16 6 9
#> 664 intermediate level of education 0 60 8 13 15
#> 665 <NA> 1 95 10 12 12
#> 666 high level of education 1 95 13 13 15
#> 667 intermediate level of education 1 95 10 12 10
#> 668 low level of education 1 95 9 10 13
#> 669 intermediate level of education 1 100 10 13 13
#> 670 intermediate level of education 1 80 12 13 18
#> 671 low level of education 0 80 11 11 13
#> 672 intermediate level of education 1 75 9 11 21
#> 673 high level of education 1 70 10 9 21
#> 674 low level of education 0 NA 9 15 18
#> 675 intermediate level of education 0 30 13 8 17
#> 676 low level of education 0 95 10 12 18
#> 677 low level of education 0 30 9 15 11
#> 678 intermediate level of education 0 55 10 13 17
#> 679 intermediate level of education 0 95 8 12 18
#> 680 low level of education 0 75 7 15 22
#> 681 intermediate level of education 0 100 8 15 19
#> 682 intermediate level of education 0 95 7 14 18
#> 683 intermediate level of education 1 90 7 14 19
#> 684 intermediate level of education 1 65 9 14 18
#> 685 high level of education 1 90 8 13 18
#> 686 intermediate level of education 1 95 11 13 13
#> 687 intermediate level of education 1 95 9 13 18
#> 688 intermediate level of education 0 90 10 13 16
#> 689 low level of education 0 95 12 12 14
#> 690 intermediate level of education 0 70 11 12 15
#> 691 low level of education 1 65 7 15 6
#> 692 high level of education 1 45 16 12 18
#> 693 low level of education 1 50 12 12 14
#> 694 intermediate level of education 1 95 10 13 15
#> 695 intermediate level of education 1 10 8 14 24
#> 696 intermediate level of education 0 40 12 13 3
#> 697 intermediate level of education 0 85 23 10 2
#> 698 high level of education 1 5 10 9 17
#> 699 intermediate level of education 1 65 10 13 15
#> 700 intermediate level of education 1 10 18 9 9
#> 701 intermediate level of education 1 75 13 10 12
#> 702 intermediate level of education 1 100 12 12 8
#> 703 low level of education 0 40 18 12 5
#> 704 intermediate level of education 0 100 9 12 15
#> 705 <NA> 1 90 12 12 14
#> 706 intermediate level of education 0 45 13 12 10
#> 707 low level of education 1 80 9 11 19
#> 708 low level of education 0 90 7 12 17
#> 709 low level of education 0 55 10 11 15
#> 710 intermediate level of education 0 95 7 13 20
#> 711 low level of education 1 100 8 12 19
#> 712 high level of education 0 0 17 13 6
#> 713 intermediate level of education 1 60 11 9 16
#> 714 intermediate level of education 1 NA 14 13 13
#> 715 intermediate level of education 0 65 11 12 7
#> 716 intermediate level of education 0 45 23 13 7
#> 717 intermediate level of education 0 40 14 12 12
#> 718 low level of education 0 85 8 11 14
#> 719 <NA> 1 100 7 14 6
#> 720 <NA> 1 55 15 10 10
#> 721 intermediate level of education 0 95 8 15 21
#> 722 intermediate level of education 0 100 12 14 13
#> 723 low level of education 1 90 9 13 17
#> 724 intermediate level of education 0 5 15 11 11
#> 725 intermediate level of education 1 75 17 10 9
#> 726 intermediate level of education 0 70 13 10 14
#> 727 intermediate level of education 0 0 13 11 14
#> 728 intermediate level of education 0 90 10 10 10
#> 729 <NA> 0 65 20 11 6
#> 730 intermediate level of education 0 80 10 12 13
#> 731 low level of education 0 65 11 12 9
#> 732 low level of education 0 60 25 9 2
#> 733 high level of education 0 90 10 15 13
#> 734 intermediate level of education 1 5 12 14 16
#> 735 high level of education 0 90 10 15 17
#> 736 intermediate level of education 0 75 12 12 7
#> 737 <NA> 0 90 10 11 14
#> 738 low level of education 0 75 8 14 2
#> 739 high level of education 0 95 14 15 21
#> 740 intermediate level of education 0 100 8 15 22
#> 741 intermediate level of education 0 0 18 14 6
#> 742 intermediate level of education 0 90 8 13 20
#> 743 intermediate level of education 1 70 15 9 17
#> 744 intermediate level of education 0 100 11 12 22
#> 745 low level of education 0 25 12 11 3
#> 746 low level of education 1 85 10 12 15
#> 747 intermediate level of education 1 75 7 11 16
#> 748 intermediate level of education 0 75 10 9 14
#> 749 high level of education 0 55 13 14 15
#> 750 intermediate level of education 0 70 14 13 7
#> 751 low level of education 0 30 7 16 23
#> 752 intermediate level of education 1 15 7 16 16
#> 753 high level of education 1 65 14 12 9
#> 754 high level of education 0 40 11 13 9
#> 755 low level of education 1 90 11 9 19
#> 756 intermediate level of education 0 95 11 12 13
#> 757 intermediate level of education 0 90 9 15 15
#> 758 intermediate level of education 0 35 7 14 19
#> 759 intermediate level of education 1 45 15 11 13
#> 760 low level of education 0 85 9 14 18
#> 761 intermediate level of education 0 80 9 15 18
#> 762 intermediate level of education 1 50 18 9 8
#> 763 intermediate level of education 0 90 8 15 19
#> 764 high level of education 0 95 15 10 13
#> 765 intermediate level of education 1 90 7 16 24
#> 766 intermediate level of education 1 100 8 15 15
#> 767 low level of education 0 70 13 11 2
#> 768 intermediate level of education 1 70 8 15 15
#> 769 high level of education 0 85 8 16 22
#> 770 intermediate level of education 1 90 9 16 18
#> 771 intermediate level of education 1 100 7 16 20
#> 772 high level of education 1 85 7 12 3
#> 773 intermediate level of education 0 75 9 12 14
#> 774 low level of education 0 100 8 12 15
#> 775 low level of education 0 65 8 14 20
#> 776 intermediate level of education 1 80 13 9 15
#> 777 low level of education 0 90 10 10 15
#> 778 <NA> 0 80 11 11 15
#> 779 intermediate level of education 1 85 13 11 21
#> 780 intermediate level of education 0 60 11 13 20
#> 781 intermediate level of education 0 90 8 11 21
#> 782 intermediate level of education 1 85 12 9 14
#> 783 <NA> 0 65 8 14 15
#> 784 high level of education 0 75 9 11 12
#> 785 intermediate level of education 0 45 16 8 11
#> 786 intermediate level of education 1 70 11 13 16
#> 787 <NA> 1 20 19 8 6
#> 788 high level of education 1 70 12 12 15
#> 789 low level of education 0 20 12 13 15
#> 790 intermediate level of education 1 100 9 14 15
#> 791 intermediate level of education 0 100 10 14 19
#> 792 low level of education 1 95 10 8 10
#> 793 intermediate level of education 0 90 9 7 7
#> 794 intermediate level of education 0 40 13 10 15
#> 795 intermediate level of education 0 90 7 14 13
#> 796 intermediate level of education 1 90 11 11 16
#> 797 intermediate level of education 1 90 13 12 18
#> 798 intermediate level of education 1 95 10 12 9
#> 799 intermediate level of education 0 100 10 11 21
#> 800 intermediate level of education 0 60 13 15 20
#> 801 low level of education 0 60 9 15 19
#> 802 low level of education 1 45 14 16 16
#> 803 intermediate level of education 1 55 15 15 20
#> 804 low level of education 0 15 15 12 3
#> 805 intermediate level of education 0 85 9 15 23
#> 806 intermediate level of education 0 85 10 15 22
#> 807 intermediate level of education 0 80 8 14 22
#> 808 intermediate level of education 0 60 8 14 25
#> 809 low level of education 0 40 9 16 25
#> 810 intermediate level of education 0 45 9 15 18
#> 811 high level of education 0 60 9 13 15
#> 812 intermediate level of education 1 85 9 13 17
#> 813 low level of education 1 70 9 13 14
#> 814 <NA> 0 55 13 9 12
#> 815 low level of education 0 95 9 12 16
#> 816 intermediate level of education 1 90 12 12 18
#> 817 low level of education 0 90 14 11 6
#> 818 low level of education 1 90 12 10 11
#> 819 intermediate level of education 1 100 8 15 13
#> 820 intermediate level of education 0 65 10 11 14
#> 821 intermediate level of education 1 95 7 13 16
#> 822 intermediate level of education 1 95 22 12 19
#> 823 intermediate level of education 1 85 18 12 17
#> 824 intermediate level of education 1 75 16 10 21
#> 825 intermediate level of education 1 80 13 15 22
#> 826 intermediate level of education 1 90 15 16 22
#> 827 intermediate level of education 1 95 24 14 19
#> 828 high level of education 1 65 11 8 6
#> 829 high level of education 1 95 14 9 7
#> 830 intermediate level of education 1 40 12 12 16
#> 831 high level of education 1 90 11 16 18
#> 832 intermediate level of education 0 40 10 15 14
#> 833 intermediate level of education 0 85 7 16 21
#> 834 intermediate level of education 1 90 10 11 19
#> 835 intermediate level of education 0 95 10 11 9
#> 836 intermediate level of education 0 90 12 11 17
#> 837 intermediate level of education 0 95 10 11 17
#> 838 intermediate level of education 1 95 7 12 22
#> 839 intermediate level of education 1 80 9 15 18
#> 840 high level of education 1 65 16 15 16
#> 841 intermediate level of education 1 10 14 15 16
#> 842 high level of education 0 70 12 15 13
#> 843 intermediate level of education 0 90 9 14 20
#> 844 intermediate level of education 1 90 10 14 20
#> 845 intermediate level of education 1 95 8 13 20
#> 846 intermediate level of education 1 80 9 10 20
#> 847 <NA> 0 95 7 16 19
#> 848 high level of education 1 95 8 10 22
#> 849 intermediate level of education 1 95 10 13 16
#> 850 high level of education 0 90 9 15 19
#> 851 intermediate level of education 1 90 8 13 20
#> 852 high level of education 1 55 10 15 15
#> 853 high level of education 1 95 10 12 21
#> 854 intermediate level of education 0 100 7 16 25
#> 855 intermediate level of education 0 55 11 14 20
#> 856 high level of education 1 70 8 14 16
#> 857 high level of education 0 85 10 16 20
#> 858 high level of education 1 80 11 10 18
#> 859 intermediate level of education 0 85 14 8 13
#> 860 high level of education 1 100 7 13 18
#> 861 intermediate level of education 0 100 8 16 19
#> 862 intermediate level of education 1 100 10 14 20
#> 863 high level of education 1 95 10 13 12
#> 864 intermediate level of education 1 95 11 10 20
#> 865 intermediate level of education 1 90 11 12 8
#> 866 intermediate level of education 1 100 8 15 17
#> 867 low level of education 0 90 8 13 16
#> 868 low level of education 0 90 9 15 22
#> 869 intermediate level of education 1 85 11 12 15
#> 870 intermediate level of education 0 100 7 16 19
#> 871 intermediate level of education 1 100 7 16 21
#> 872 intermediate level of education 0 100 8 13 16
#> 873 intermediate level of education 0 100 9 11 20
#> 874 high level of education 1 100 9 9 12
#> 875 intermediate level of education 0 100 7 16 20
#> 876 low level of education 1 100 13 11 17
#> 877 intermediate level of education 0 10 15 10 10
#> 878 intermediate level of education 0 65 11 11 10
#> 879 intermediate level of education 0 50 24 9 11
#> 880 intermediate level of education 1 100 8 11 16
#> 881 intermediate level of education 0 100 9 10 14
#> 882 intermediate level of education 0 100 7 11 15
#> 883 intermediate level of education 1 100 10 10 13
#> 884 low level of education 0 35 15 9 11
#> 885 high level of education 1 55 18 10 8
#> 886 high level of education 0 65 22 13 12
#> 887 intermediate level of education 0 10 18 10 6
#> 888 intermediate level of education 1 60 9 14 16
#> 889 high level of education 1 85 11 13 14
#> 890 high level of education 1 85 14 10 5
#> 891 high level of education 0 85 7 16 11
#> 892 intermediate level of education 0 70 9 12 15
#> 893 intermediate level of education 1 55 17 15 11
#> 894 high level of education 1 50 23 11 8
#> 895 intermediate level of education 1 70 12 9 11
#> 896 intermediate level of education 1 100 13 10 12
#> 897 intermediate level of education 1 35 15 11 12
#> 898 low level of education 0 80 8 16 20
#> 899 intermediate level of education 1 70 8 13 15
#> 900 low level of education 0 25 14 14 15
#> 901 intermediate level of education 1 100 10 14 16
#> 902 intermediate level of education 1 85 10 13 16
#> 903 <NA> NA NA NA NA NA
#> 904 <NA> NA NA NA NA NA
#> 905 <NA> NA NA NA NA NA
#> 906 <NA> NA NA NA NA NA
#> 907 <NA> NA NA NA NA NA
#> 908 <NA> NA NA NA NA NA
#> resttotn tot_sc_e n4pstu nur_pst
#> 1 0 4 0 NA
#> 2 4 0 0 NA
#> 3 0 1 2 2
#> 4 2 0 3 3
#> 5 2 1 2 2
#> 6 1 3 2 2
#> 7 0 0 3 3
#> 8 0 1 1 1
#> 9 0 2 3 3
#> 10 1 1 3 3
#> 11 1 1 3 3
#> 12 1 1 1 1
#> 13 0 3 3 3
#> 14 0 0 1 1
#> 15 3 3 0 NA
#> 16 0 2 0 NA
#> 17 0 2 0 NA
#> 18 0 0 2 2
#> 19 3 1 1 1
#> 20 0 7 2 2
#> 21 1 1 4 3
#> 22 0 0 1 1
#> 23 1 0 2 2
#> 24 1 1 3 3
#> 25 0 2 1 1
#> 26 1 1 2 2
#> 27 0 5 2 2
#> 28 0 2 0 NA
#> 29 0 2 2 2
#> 30 0 0 3 3
#> 31 1 2 3 3
#> 32 0 1 2 2
#> 33 0 1 1 1
#> 34 0 7 3 3
#> 35 0 4 3 3
#> 36 0 1 3 3
#> 37 0 6 3 3
#> 38 1 1 0 NA
#> 39 1 5 3 3
#> 40 2 5 1 1
#> 41 0 1 1 1
#> 42 1 3 3 3
#> 43 0 3 3 3
#> 44 0 4 3 3
#> 45 0 4 3 3
#> 46 0 0 3 3
#> 47 0 3 3 3
#> 48 0 2 2 2
#> 49 0 1 1 1
#> 50 0 2 3 3
#> 51 2 3 3 3
#> 52 0 1 4 3
#> 53 0 2 2 2
#> 54 0 2 3 3
#> 55 0 2 3 3
#> 56 2 0 3 3
#> 57 0 3 3 3
#> 58 3 4 1 1
#> 59 0 0 2 2
#> 60 0 5 3 3
#> 61 0 0 3 3
#> 62 0 2 1 1
#> 63 0 3 2 2
#> 64 3 1 1 1
#> 65 2 3 1 1
#> 66 0 4 1 1
#> 67 0 2 1 1
#> 68 0 1 1 1
#> 69 0 1 3 3
#> 70 0 2 2 2
#> 71 1 2 2 2
#> 72 0 2 1 1
#> 73 0 0 2 2
#> 74 2 3 0 NA
#> 75 1 3 3 3
#> 76 0 0 1 1
#> 77 2 1 2 2
#> 78 0 0 1 1
#> 79 0 2 1 1
#> 80 0 3 2 2
#> 81 0 1 0 NA
#> 82 0 1 1 1
#> 83 0 1 3 3
#> 84 1 1 0 NA
#> 85 1 0 2 2
#> 86 1 2 3 3
#> 87 0 3 3 3
#> 88 0 1 3 3
#> 89 2 5 2 2
#> 90 0 3 1 1
#> 91 0 3 2 2
#> 92 0 0 0 NA
#> 93 0 3 0 NA
#> 94 0 1 0 NA
#> 95 1 5 2 2
#> 96 1 0 1 1
#> 97 0 2 1 1
#> 98 1 2 2 2
#> 99 0 1 1 1
#> 100 0 2 2 2
#> 101 0 2 3 3
#> 102 0 2 1 1
#> 103 0 1 0 NA
#> 104 0 1 3 3
#> 105 0 4 2 2
#> 106 0 1 0 NA
#> 107 0 1 1 1
#> 108 0 1 1 1
#> 109 0 4 1 1
#> 110 1 1 2 2
#> 111 0 1 2 2
#> 112 0 3 1 1
#> 113 0 4 2 2
#> 114 0 1 3 3
#> 115 0 3 2 2
#> 116 0 1 1 1
#> 117 0 3 1 1
#> 118 0 1 1 1
#> 119 0 4 1 1
#> 120 0 3 2 2
#> 121 1 2 2 2
#> 122 0 1 2 2
#> 123 0 2 1 1
#> 124 0 1 3 3
#> 125 0 3 0 NA
#> 126 0 1 3 3
#> 127 0 0 0 NA
#> 128 0 2 3 3
#> 129 0 0 0 NA
#> 130 0 2 2 2
#> 131 0 2 1 1
#> 132 0 3 1 1
#> 133 0 3 3 3
#> 134 0 1 2 2
#> 135 0 3 1 1
#> 136 0 3 1 1
#> 137 0 1 3 3
#> 138 1 1 0 NA
#> 139 0 4 3 3
#> 140 0 1 2 2
#> 141 2 0 0 NA
#> 142 0 3 1 1
#> 143 0 3 NA NA
#> 144 0 2 1 1
#> 145 0 1 1 1
#> 146 0 6 2 2
#> 147 0 1 2 2
#> 148 0 1 2 2
#> 149 0 3 2 2
#> 150 0 0 1 1
#> 151 0 1 2 2
#> 152 1 1 2 2
#> 153 0 2 2 2
#> 154 0 1 3 3
#> 155 2 1 3 3
#> 156 0 1 1 1
#> 157 0 5 2 2
#> 158 0 1 3 3
#> 159 0 1 1 1
#> 160 1 4 2 2
#> 161 1 3 1 1
#> 162 0 4 2 2
#> 163 0 1 2 2
#> 164 2 1 3 3
#> 165 0 0 0 NA
#> 166 2 2 3 3
#> 167 0 3 2 2
#> 168 1 1 3 3
#> 169 0 3 1 1
#> 170 0 1 2 2
#> 171 0 2 0 NA
#> 172 0 0 1 1
#> 173 0 0 0 NA
#> 174 0 2 1 1
#> 175 0 1 2 2
#> 176 1 9 1 1
#> 177 0 0 1 1
#> 178 0 0 2 2
#> 179 0 1 2 2
#> 180 0 3 3 3
#> 181 0 0 2 2
#> 182 1 2 1 1
#> 183 0 1 0 NA
#> 184 0 1 2 2
#> 185 0 2 3 3
#> 186 0 3 2 2
#> 187 3 2 2 2
#> 188 0 1 2 2
#> 189 0 1 NA NA
#> 190 0 1 1 1
#> 191 2 2 2 2
#> 192 0 4 2 2
#> 193 0 2 1 1
#> 194 0 1 3 3
#> 195 0 0 1 1
#> 196 0 0 0 NA
#> 197 0 0 1 1
#> 198 0 1 1 1
#> 199 0 0 0 NA
#> 200 0 4 2 2
#> 201 0 0 0 NA
#> 202 1 1 3 3
#> 203 0 0 0 NA
#> 204 2 2 2 2
#> 205 0 0 1 1
#> 206 1 2 1 1
#> 207 2 1 3 3
#> 208 0 1 2 2
#> 209 0 1 2 2
#> 210 0 0 1 1
#> 211 0 3 2 2
#> 212 0 1 1 1
#> 213 0 2 1 1
#> 214 0 1 2 2
#> 215 3 2 0 NA
#> 216 0 1 1 1
#> 217 2 1 2 2
#> 218 2 3 2 2
#> 219 0 1 1 1
#> 220 1 1 0 NA
#> 221 1 3 1 1
#> 222 0 2 3 3
#> 223 0 4 0 NA
#> 224 0 2 1 1
#> 225 0 1 2 2
#> 226 0 2 1 1
#> 227 0 3 2 2
#> 228 0 2 0 NA
#> 229 0 2 2 2
#> 230 0 0 2 2
#> 231 1 4 0 NA
#> 232 0 6 2 2
#> 233 1 1 2 2
#> 234 1 1 0 NA
#> 235 4 5 2 2
#> 236 0 1 1 1
#> 237 2 0 2 2
#> 238 1 1 0 NA
#> 239 1 2 1 1
#> 240 1 0 1 1
#> 241 0 1 0 NA
#> 242 1 0 0 NA
#> 243 0 1 0 NA
#> 244 1 0 1 1
#> 245 0 2 1 1
#> 246 0 0 1 1
#> 247 1 1 1 1
#> 248 0 0 0 NA
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#> 250 1 0 0 NA
#> 251 1 0 0 NA
#> 252 0 1 1 1
#> 253 0 0 0 NA
#> 254 0 1 0 NA
#> 255 0 1 2 2
#> 256 2 0 0 NA
#> 257 0 1 1 1
#> 258 0 0 0 NA
#> 259 1 2 2 2
#> 260 0 1 0 NA
#> 261 0 0 0 NA
#> 262 0 1 0 NA
#> 263 0 1 3 3
#> 264 0 1 2 2
#> 265 0 0 1 1
#> 266 0 0 1 1
#> 267 0 0 2 2
#> 268 3 0 0 NA
#> 269 0 0 0 NA
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#> 271 0 2 1 1
#> 272 0 0 0 NA
#> 273 0 0 2 2
#> 274 0 0 0 NA
#> 275 0 0 0 NA
#> 276 0 0 0 NA
#> 277 0 0 1 1
#> 278 0 0 1 1
#> 279 0 1 1 1
#> 280 0 0 0 NA
#> 281 0 2 0 NA
#> 282 0 2 0 NA
#> 283 0 3 0 NA
#> 284 0 2 0 NA
#> 285 0 3 0 NA
#> 286 0 1 0 NA
#> 287 0 2 0 NA
#> 288 0 2 1 1
#> 289 1 1 0 NA
#> 290 2 0 0 NA
#> 291 1 1 3 3
#> 292 0 0 0 NA
#> 293 0 2 1 1
#> 294 0 1 0 NA
#> 295 0 0 2 2
#> 296 2 0 0 NA
#> 297 0 0 0 NA
#> 298 2 2 3 3
#> 299 0 2 0 NA
#> 300 2 0 0 NA
#> 301 0 1 0 NA
#> 302 1 1 1 1
#> 303 0 0 0 NA
#> 304 2 0 0 NA
#> 305 0 0 0 NA
#> 306 0 0 1 1
#> 307 2 0 1 1
#> 308 0 2 2 2
#> 309 0 4 0 NA
#> 310 0 2 0 NA
#> 311 0 0 0 NA
#> 312 0 0 1 1
#> 313 1 0 2 2
#> 314 1 0 2 2
#> 315 0 1 0 NA
#> 316 0 1 2 2
#> 317 2 1 1 1
#> 318 2 0 2 2
#> 319 3 4 2 2
#> 320 0 1 1 1
#> 321 0 1 0 NA
#> 322 0 1 2 2
#> 323 0 1 0 NA
#> 324 0 0 0 NA
#> 325 0 1 3 3
#> 326 0 0 0 NA
#> 327 0 1 2 2
#> 328 0 0 0 NA
#> 329 1 0 1 1
#> 330 0 0 0 NA
#> 331 0 0 0 NA
#> 332 0 0 0 NA
#> 333 1 1 2 2
#> 334 0 1 2 2
#> 335 1 1 3 3
#> 336 0 1 0 NA
#> 337 0 0 0 NA
#> 338 0 0 2 2
#> 339 0 0 1 1
#> 340 0 1 2 2
#> 341 0 0 0 NA
#> 342 0 0 0 NA
#> 343 0 0 0 NA
#> 344 0 0 0 NA
#> 345 0 0 0 NA
#> 346 0 0 0 NA
#> 347 0 0 1 1
#> 348 0 0 0 NA
#> 349 0 1 2 2
#> 350 0 0 0 NA
#> 351 0 0 0 NA
#> 352 0 1 3 3
#> 353 0 0 0 NA
#> 354 1 0 0 NA
#> 355 0 0 0 NA
#> 356 0 0 1 1
#> 357 0 2 1 1
#> 358 0 0 2 2
#> 359 0 1 0 NA
#> 360 0 0 0 NA
#> 361 0 0 0 NA
#> 362 0 0 1 1
#> 363 0 0 0 NA
#> 364 0 3 0 NA
#> 365 0 9 1 1
#> 366 0 0 0 NA
#> 367 0 0 0 NA
#> 368 1 0 0 NA
#> 369 0 0 0 NA
#> 370 0 0 0 NA
#> 371 0 0 0 NA
#> 372 0 0 0 NA
#> 373 0 0 0 NA
#> 374 0 2 2 2
#> 375 0 1 0 NA
#> 376 0 0 0 NA
#> 377 2 1 1 1
#> 378 0 1 2 2
#> 379 1 0 0 NA
#> 380 1 3 2 2
#> 381 0 1 2 2
#> 382 1 2 3 3
#> 383 0 2 2 2
#> 384 0 1 2 2
#> 385 0 1 0 NA
#> 386 0 1 0 NA
#> 387 0 2 0 NA
#> 388 0 1 0 NA
#> 389 1 0 2 2
#> 390 0 0 0 NA
#> 391 0 1 1 1
#> 392 1 1 2 2
#> 393 0 0 0 NA
#> 394 0 0 0 NA
#> 395 1 2 2 2
#> 396 0 0 2 2
#> 397 0 2 3 3
#> 398 0 1 1 1
#> 399 0 2 1 1
#> 400 0 1 2 2
#> 401 0 2 2 2
#> 402 0 1 3 3
#> 403 0 0 2 2
#> 404 0 1 3 3
#> 405 0 0 0 NA
#> 406 0 1 0 NA
#> 407 0 0 0 NA
#> 408 0 0 2 2
#> 409 0 2 0 NA
#> 410 0 1 2 2
#> 411 0 0 2 2
#> 412 0 1 3 3
#> 413 0 0 0 NA
#> 414 0 0 0 NA
#> 415 0 0 0 NA
#> 416 0 0 0 NA
#> 417 0 0 0 NA
#> 418 0 1 0 NA
#> 419 0 0 2 2
#> 420 3 3 2 2
#> 421 0 1 0 NA
#> 422 1 0 2 2
#> 423 1 3 2 2
#> 424 0 2 3 3
#> 425 0 1 0 NA
#> 426 1 1 2 2
#> 427 1 1 3 3
#> 428 0 0 1 1
#> 429 0 0 2 2
#> 430 0 1 2 2
#> 431 0 0 1 1
#> 432 0 0 0 NA
#> 433 1 1 1 1
#> 434 0 2 0 NA
#> 435 1 3 0 NA
#> 436 0 2 0 NA
#> 437 0 1 0 NA
#> 438 0 0 3 3
#> 439 1 5 2 2
#> 440 0 0 1 1
#> 441 0 0 0 NA
#> 442 0 1 NA NA
#> 443 0 1 0 NA
#> 444 0 1 0 NA
#> 445 1 3 0 NA
#> 446 0 0 0 NA
#> 447 1 2 2 2
#> 448 0 0 2 2
#> 449 0 1 2 2
#> 450 0 0 1 1
#> 451 0 2 3 3
#> 452 0 0 0 NA
#> 453 1 0 0 NA
#> 454 1 3 0 NA
#> 455 0 1 2 2
#> 456 0 3 2 2
#> 457 3 0 2 2
#> 458 0 0 0 NA
#> 459 0 1 2 2
#> 460 0 0 0 NA
#> 461 1 2 0 NA
#> 462 0 2 1 1
#> 463 1 0 2 2
#> 464 0 0 2 2
#> 465 0 0 1 1
#> 466 0 2 2 2
#> 467 0 0 2 2
#> 468 0 1 3 3
#> 469 1 1 1 1
#> 470 0 0 0 NA
#> 471 0 1 0 NA
#> 472 0 1 2 2
#> 473 0 0 0 NA
#> 474 0 0 0 NA
#> 475 0 0 0 NA
#> 476 0 0 0 NA
#> 477 0 0 0 NA
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#> 479 0 0 0 NA
#> 480 0 0 0 NA
#> 481 0 1 1 1
#> 482 0 0 3 3
#> 483 0 1 1 1
#> 484 0 0 2 2
#> 485 2 0 2 2
#> 486 2 0 3 3
#> 487 1 1 3 3
#> 488 0 1 0 NA
#> 489 0 0 0 NA
#> 490 0 0 0 NA
#> 491 0 0 0 NA
#> 492 0 0 0 NA
#> 493 0 0 0 NA
#> 494 1 0 2 2
#> 495 0 0 0 NA
#> 496 3 0 0 NA
#> 497 0 0 0 NA
#> 498 0 0 0 NA
#> 499 0 0 0 NA
#> 500 0 1 1 1
#> 501 0 0 0 NA
#> 502 0 0 0 NA
#> 503 0 0 2 2
#> 504 2 0 0 NA
#> 505 0 2 0 NA
#> 506 1 2 3 3
#> 507 0 1 2 2
#> 508 1 1 2 2
#> 509 0 2 1 1
#> 510 0 1 2 2
#> 511 0 1 1 1
#> 512 0 1 0 NA
#> 513 1 1 1 1
#> 514 0 1 0 NA
#> 515 2 0 0 NA
#> 516 0 0 0 NA
#> 517 0 0 0 NA
#> 518 1 0 2 2
#> 519 0 1 3 3
#> 520 1 3 3 3
#> 521 0 0 0 NA
#> 522 0 0 0 NA
#> 523 2 4 1 1
#> 524 0 0 2 2
#> 525 1 1 0 NA
#> 526 0 0 0 NA
#> 527 0 1 1 1
#> 528 0 0 0 NA
#> 529 0 1 0 NA
#> 530 0 0 0 NA
#> 531 1 1 0 NA
#> 532 0 0 0 NA
#> 533 0 0 0 NA
#> 534 0 1 1 1
#> 535 0 2 1 1
#> 536 0 0 0 NA
#> 537 0 0 0 NA
#> 538 1 0 0 NA
#> 539 1 2 3 3
#> 540 2 0 0 NA
#> 541 1 0 3 3
#> 542 1 3 1 1
#> 543 0 0 1 1
#> 544 1 1 1 1
#> 545 0 0 0 NA
#> 546 0 0 0 NA
#> 547 0 0 0 NA
#> 548 2 0 0 NA
#> 549 0 1 3 3
#> 550 0 2 1 1
#> 551 0 0 0 NA
#> 552 1 0 3 3
#> 553 0 0 0 NA
#> 554 0 0 0 NA
#> 555 0 0 0 NA
#> 556 0 0 0 NA
#> 557 0 0 0 NA
#> 558 0 1 3 3
#> 559 1 0 1 1
#> 560 1 0 0 NA
#> 561 0 0 0 NA
#> 562 0 1 0 NA
#> 563 0 0 0 NA
#> 564 0 0 2 2
#> 565 1 1 1 1
#> 566 1 0 2 2
#> 567 0 0 0 NA
#> 568 0 1 0 NA
#> 569 0 0 3 3
#> 570 0 0 1 1
#> 571 0 1 3 3
#> 572 0 0 2 2
#> 573 0 1 3 3
#> 574 2 0 3 3
#> 575 0 0 NA NA
#> 576 0 0 3 3
#> 577 0 1 0 NA
#> 578 0 1 2 2
#> 579 1 0 0 NA
#> 580 0 2 2 2
#> 581 0 1 1 1
#> 582 0 3 1 1
#> 583 0 0 0 NA
#> 584 1 0 1 1
#> 585 1 3 1 1
#> 586 0 0 0 NA
#> 587 0 1 0 NA
#> 588 0 0 0 NA
#> 589 1 0 3 3
#> 590 1 0 2 2
#> 591 0 0 2 2
#> 592 0 0 0 NA
#> 593 0 1 3 3
#> 594 0 1 2 2
#> 595 1 1 4 3
#> 596 1 3 2 2
#> 597 2 1 0 NA
#> 598 0 1 3 3
#> 599 3 1 1 1
#> 600 0 2 3 3
#> 601 2 1 3 3
#> 602 0 3 1 1
#> 603 1 0 4 3
#> 604 1 2 2 2
#> 605 0 1 0 NA
#> 606 2 1 0 NA
#> 607 0 1 0 NA
#> 608 1 0 0 NA
#> 609 0 0 0 NA
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#> 611 0 2 1 1
#> 612 1 2 2 2
#> 613 1 0 2 2
#> 614 0 1 1 1
#> 615 0 0 0 NA
#> 616 0 1 2 2
#> 617 0 1 1 1
#> 618 0 0 0 NA
#> 619 0 0 1 1
#> 620 0 1 1 1
#> 621 0 1 1 1
#> 622 0 0 0 NA
#> 623 0 2 0 NA
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#> 625 0 0 0 NA
#> 626 0 2 0 NA
#> 627 0 4 0 NA
#> 628 0 1 2 2
#> 629 0 2 1 1
#> 630 0 3 2 2
#> 631 1 1 0 NA
#> 632 0 0 0 NA
#> 633 0 1 1 1
#> 634 0 0 0 NA
#> 635 1 3 2 2
#> 636 0 4 0 NA
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#> 638 0 0 0 NA
#> 639 0 0 0 NA
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#> 643 0 0 1 1
#> 644 1 0 2 2
#> 645 0 1 0 NA
#> 646 0 0 0 NA
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#> 649 0 0 0 NA
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#> 652 0 0 0 NA
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#> 654 0 0 0 NA
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#> 658 0 0 0 NA
#> 659 0 0 0 NA
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#> 662 1 0 0 NA
#> 663 0 1 0 NA
#> 664 0 1 0 NA
#> 665 0 1 3 3
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#> 670 0 1 0 NA
#> 671 0 0 0 NA
#> 672 0 0 0 NA
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#> 674 0 0 NA NA
#> 675 0 3 1 1
#> 676 0 0 0 NA
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#> 678 0 1 1 1
#> 679 0 1 2 2
#> 680 0 0 0 NA
#> 681 0 1 2 2
#> 682 0 1 2 2
#> 683 0 0 0 NA
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#> 685 0 0 0 NA
#> 686 0 0 0 NA
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#> 689 0 1 0 NA
#> 690 0 0 0 NA
#> 691 0 0 0 NA
#> 692 0 0 0 NA
#> 693 0 0 0 NA
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#> 695 0 0 2 2
#> 696 0 1 0 NA
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#> 699 0 1 3 3
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#> 701 0 1 1 1
#> 702 1 1 2 2
#> 703 0 3 1 1
#> 704 0 2 2 2
#> 705 1 2 0 NA
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#> 711 0 1 0 NA
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#> 717 0 0 NA NA
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#> 720 1 6 2 2
#> 721 1 2 2 2
#> 722 0 0 0 NA
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#> 729 2 0 1 1
#> 730 0 0 1 1
#> 731 0 1 3 3
#> 732 0 0 0 NA
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#> 735 0 0 0 NA
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#> 743 0 2 0 NA
#> 744 0 2 0 NA
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#> 746 0 1 1 1
#> 747 2 0 2 2
#> 748 1 1 0 NA
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#> 775 0 1 0 NA
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#> 783 0 1 0 NA
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#> 785 0 1 0 NA
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#> 790 0 1 1 1
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#> 800 0 0 0 NA
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#> 809 0 0 0 NA
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#> 816 0 0 0 NA
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#> 819 0 0 0 NA
#> 820 0 0 0 NA
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#> 822 0 0 0 NA
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#> 829 0 0 0 NA
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#> 833 0 1 0 NA
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#> 836 0 0 0 NA
#> 837 0 0 0 NA
#> 838 0 0 0 NA
#> 839 0 0 0 NA
#> 840 0 0 0 NA
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#> 843 0 1 0 NA
#> 844 0 1 0 NA
#> 845 0 1 0 NA
#> 846 0 1 3 3
#> 847 0 1 0 NA
#> 848 0 0 0 NA
#> 849 0 0 0 NA
#> 850 0 0 0 NA
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#> 853 0 0 0 NA
#> 854 0 0 0 NA
#> 855 0 0 0 NA
#> 856 0 0 0 NA
#> 857 0 0 0 NA
#> 858 0 0 0 NA
#> 859 2 1 0 NA
#> 860 0 0 0 NA
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#> 862 0 0 0 NA
#> 863 0 0 0 NA
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#> 865 0 1 0 NA
#> 866 1 0 0 NA
#> 867 1 0 0 NA
#> 868 0 0 0 NA
#> 869 0 0 0 NA
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#> 871 0 2 0 NA
#> 872 0 1 0 NA
#> 873 0 0 0 NA
#> 874 0 0 0 NA
#> 875 0 0 0 NA
#> 876 0 0 0 NA
#> 877 0 0 0 NA
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#> 879 0 1 0 NA
#> 880 0 1 0 NA
#> 881 0 0 0 NA
#> 882 0 1 0 NA
#> 883 0 1 2 2
#> 884 0 1 NA NA
#> 885 0 1 2 2
#> 886 0 0 0 NA
#> 887 0 1 0 NA
#> 888 0 0 0 NA
#> 889 0 0 0 NA
#> 890 0 0 2 2
#> 891 0 2 2 2
#> 892 0 1 0 NA
#> 893 0 2 3 3
#> 894 0 1 0 NA
#> 895 2 2 NA NA
#> 896 0 2 0 NA
#> 897 0 1 2 2
#> 898 0 1 1 1
#> 899 2 2 2 2
#> 900 2 4 2 2
#> 901 2 2 0 NA
#> 902 1 0 0 NA
#> 903 1 4 2 2
#> 904 0 1 2 2
#> 905 0 1 1 1
#> 906 0 1 2 2
#> 907 0 0 0 NA
#> 908 0 0 0 NA