Sample data
# Load necessary libraries
library(tidyverse)
#;-) ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
#;-) ✔ dplyr 1.1.4 ✔ readr 2.1.5
#;-) ✔ forcats 1.0.0 ✔ stringr 1.5.1
#;-) ✔ ggplot2 3.4.4 ✔ tibble 3.2.1
#;-) ✔ lubridate 1.9.3 ✔ tidyr 1.3.1
#;-) ✔ purrr 1.0.2
#;-) ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
#;-) ✖ dplyr::filter() masks stats::filter()
#;-) ✖ dplyr::lag() masks stats::lag()
#;-) ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
# Set seed for reproducibility
set.seed(123)
# Generate sample data
n <- 1000 # Number of observations
# Age between 18 and 90
age <- sample(18:90, n, replace = TRUE)
# Introduce errors in age column
age[sample(1:n, 50)] <- "InvalidAge"
# Workclass: Private, Self-emp-not-inc, Self-emp-inc, Federal-gov, Local-gov, State-gov, Without-pay, Never-worked
workclass <- sample(c("Private", "Self-emp-not-inc", "Self-emp-inc", "Federal-gov", "Local-gov", "State-gov", "Without-pay", "Never-worked"), n, replace = TRUE)
# Introduce missing values in workclass column
workclass[sample(1:n, 50)] <- NA
# Education: Bachelors, Some-college, 11th, HS-grad, Prof-school, Assoc-acdm, Assoc-voc, 9th, 7th-8th, 12th, Masters, 1st-4th, 10th, Doctorate, 5th-6th, Preschool
education <- sample(c("Bachelors", "Some-college", "11th", "HS-grad", "Prof-school", "Assoc-acdm", "Assoc-voc", "9th", "7th-8th", "12th", "Masters", "1st-4th", "10th", "Doctorate", "5th-6th", "Preschool"), n, replace = TRUE)
# Introduce inconsistencies in education column
education[sample(1:n, 50)] <- "InvalidEducation"
# Education Number: 1-16
education_num <- sample(1:16, n, replace = TRUE)
# Marital Status: Married-civ-spouse, Divorced, Never-married, Separated, Widowed, Married-spouse-absent, Married-AF-spouse
marital_status <- sample(c("Married-civ-spouse", "Divorced", "Never-married", "Separated", "Widowed", "Married-spouse-absent", "Married-AF-spouse"), n, replace = TRUE)
# Introduce missing values in marital_status column
marital_status[sample(1:n, 50)] <- NA
# Occupation: Tech-support, Craft-repair, Other-service, Sales, Exec-managerial, Prof-specialty, Handlers-cleaners, Machine-op-inspct, Adm-clerical, Farming-fishing, Transport-moving, Priv-house-serv, Protective-serv, Armed-Forces
occupation <- sample(c("Tech-support", "Craft-repair", "Other-service", "Sales", "Exec-managerial", "Prof-specialty", "Handlers-cleaners", "Machine-op-inspct", "Adm-clerical", "Farming-fishing", "Transport-moving", "Priv-house-serv", "Protective-serv", "Armed-Forces"), n, replace = TRUE)
# Introduce errors in occupation column
occupation[sample(1:n, 50)] <- "InvalidOccupation"
# Relationship: Wife, Own-child, Husband, Not-in-family, Other-relative, Unmarried
relationship <- sample(c("Wife", "Own-child", "Husband", "Not-in-family", "Other-relative", "Unmarried"), n, replace = TRUE)
# Introduce missing values in relationship column
relationship[sample(1:n, 50)] <- NA
# Race: White, Asian-Pac-Islander, Amer-Indian-Eskimo, Other, Black
race <- sample(c("White", "Asian-Pac-Islander", "Amer-Indian-Eskimo", "Other", "Black"), n, replace = TRUE)
# Introduce inconsistencies in race column
race[sample(1:n, 50)] <- "InvalidRace"
# Sex: Female, Male
sex <- sample(c("Female", "Male"), n, replace = TRUE)
# Introduce missing values in sex column
sex[sample(1:n, 50)] <- NA
# Capital Gain: 0-99999
capital_gain <- sample(0:99999, n, replace = TRUE)
# Introduce errors in capital_gain column
capital_gain[sample(1:n, 50)] <- -999
# Capital Loss: 0-99999
capital_loss <- sample(0:99999, n, replace = TRUE)
# Introduce errors in capital_loss column
capital_loss[sample(1:n, 50)] <- -999
# Hours per week: 1-99
hours_per_week <- sample(1:99, n, replace = TRUE)
# Introduce missing values in hours_per_week column
hours_per_week[sample(1:n, 50)] <- NA
# Native country: United-States, Cambodia, England, ...
native_country <- sample(c("United-States", "Cambodia", "England", "Puerto-Rico", "Canada", "Germany", "Outlying-US(Guam-USVI-etc)", "India", "Japan", "Greece", "South", "China", "Cuba", "Iran", "Honduras", "Philippines", "Italy", "Poland", "Jamaica", "Vietnam", "Mexico", "Portugal", "Ireland", "France", "Dominican-Republic", "Laos", "Ecuador", "Taiwan", "Haiti", "Columbia", "Hungary", "Guatemala", "Nicaragua", "Scotland", "Thailand", "Yugoslavia", "El-Salvador", "Trinadad&Tobago", "Peru", "Hong", "Holand-Netherlands"), n, replace = TRUE)
# Introduce missing values in native_country column
native_country[sample(1:n, 50)] <- NA
# Income: <=50K, >50K
income <- sample(c("<=50K", ">50K"), n, replace = TRUE, prob = c(0.75, 0.25))
# Create dataframe
sample_dirty_dataset <- data.frame(age, workclass, education, education_num, marital_status, occupation, relationship, race, sex, capital_gain, capital_loss, hours_per_week, native_country, income)
# Print first few rows of the dataset
head(sample_dirty_dataset)
#;-) age workclass education education_num marital_status
#;-) 1 48 Local-gov 7th-8th 1 <NA>
#;-) 2 68 <NA> Prof-school 1 Divorced
#;-) 3 31 State-gov Bachelors 2 Married-spouse-absent
#;-) 4 84 Never-worked 7th-8th 10 Separated
#;-) 5 59 Private 12th 16 Married-civ-spouse
#;-) 6 67 Self-emp-not-inc InvalidEducation 12 Married-spouse-absent
#;-) occupation relationship race sex capital_gain
#;-) 1 Prof-specialty Other-relative Black Male 7826
#;-) 2 Priv-house-serv Unmarried Asian-Pac-Islander Female 84532
#;-) 3 Protective-serv Wife Black Male 35297
#;-) 4 Handlers-cleaners Other-relative Asian-Pac-Islander Male 27074
#;-) 5 Machine-op-inspct Other-relative White Female 73785
#;-) 6 Adm-clerical Husband Black Male 2553
#;-) capital_loss hours_per_week native_country income
#;-) 1 77249 60 Poland >50K
#;-) 2 60981 73 <NA> <=50K
#;-) 3 15093 98 Hungary <=50K
#;-) 4 40203 NA South <=50K
#;-) 5 2056 4 Haiti <=50K
#;-) 6 17031 70 Scotland <=50K
# replacing invalid values with NA
for (i in 1:nrow(sample_dirty_dataset)) {
for (j in 1:ncol(sample_dirty_dataset)) {
if (grepl("Invalid", sample_dirty_dataset[i, j])) {
sample_dirty_dataset[i, j] <- NA
}
}
}
# replacing negative values in gains and losses
sample_dirty_dataset$capital_gain[sample_dirty_dataset$capital_gain < 0] <- NA
sample_dirty_dataset$capital_loss[sample_dirty_dataset$capital_loss < 0] <- NA
head(sample_dirty_dataset)
#;-) age workclass education education_num marital_status
#;-) 1 48 Local-gov 7th-8th 1 <NA>
#;-) 2 68 <NA> Prof-school 1 Divorced
#;-) 3 31 State-gov Bachelors 2 Married-spouse-absent
#;-) 4 84 Never-worked 7th-8th 10 Separated
#;-) 5 59 Private 12th 16 Married-civ-spouse
#;-) 6 67 Self-emp-not-inc <NA> 12 Married-spouse-absent
#;-) occupation relationship race sex capital_gain
#;-) 1 Prof-specialty Other-relative Black Male 7826
#;-) 2 Priv-house-serv Unmarried Asian-Pac-Islander Female 84532
#;-) 3 Protective-serv Wife Black Male 35297
#;-) 4 Handlers-cleaners Other-relative Asian-Pac-Islander Male 27074
#;-) 5 Machine-op-inspct Other-relative White Female 73785
#;-) 6 Adm-clerical Husband Black Male 2553
#;-) capital_loss hours_per_week native_country income
#;-) 1 77249 60 Poland >50K
#;-) 2 60981 73 <NA> <=50K
#;-) 3 15093 98 Hungary <=50K
#;-) 4 40203 NA South <=50K
#;-) 5 2056 4 Haiti <=50K
#;-) 6 17031 70 Scotland <=50K
# impute numerical values using median
# identify numeric columns
numeric_cols <- sapply(sample_dirty_dataset, is.numeric)
# impute NA values in numeric columns with the median of each column
dataset_imputed <- sample_dirty_dataset
dataset_imputed[, numeric_cols] <- lapply(dataset_imputed[, numeric_cols], function(x) {
x[is.na(x)] <- median(x, na.rm = TRUE)
return(x)
})
dataset_imputed
#;-) age workclass education education_num marital_status
#;-) 1 48 Local-gov 7th-8th 1 <NA>
#;-) 2 68 <NA> Prof-school 1 Divorced
#;-) 3 31 State-gov Bachelors 2 Married-spouse-absent
#;-) 4 84 Never-worked 7th-8th 10 Separated
#;-) 5 59 Private 12th 16 Married-civ-spouse
#;-) 6 67 Self-emp-not-inc <NA> 12 Married-spouse-absent
#;-) 7 60 Never-worked Prof-school 11 Married-spouse-absent
#;-) 8 31 Self-emp-not-inc 5th-6th 13 Married-AF-spouse
#;-) 9 42 Self-emp-not-inc 10th 10 Married-spouse-absent
#;-) 10 86 Local-gov Masters 12 Widowed
#;-) 11 74 State-gov Preschool 12 Married-AF-spouse
#;-) 12 26 Local-gov Preschool 16 Divorced
#;-) 13 89 Federal-gov Doctorate 15 Married-AF-spouse
#;-) 14 43 Self-emp-inc Masters 11 Married-AF-spouse
#;-) 15 24 Never-worked 1st-4th 15 Divorced
#;-) 16 59 Self-emp-inc 7th-8th 15 <NA>
#;-) 17 26 Private 5th-6th 10 Married-civ-spouse
#;-) 18 53 State-gov Doctorate 12 Married-AF-spouse
#;-) 19 60 Self-emp-inc 10th 14 Never-married
#;-) 20 32 State-gov 5th-6th 14 Widowed
#;-) 21 49 Self-emp-inc Doctorate 11 Married-AF-spouse
#;-) 22 24 Never-worked Assoc-voc 7 <NA>
#;-) 23 26 Private 5th-6th 5 Widowed
#;-) 24 58 Federal-gov 12th 11 Divorced
#;-) 25 40 Federal-gov 10th 7 Married-AF-spouse
#;-) 26 44 Without-pay 1st-4th 5 Separated
#;-) 27 77 Never-worked 7th-8th 4 Married-civ-spouse
#;-) 28 70 State-gov 10th 2 Never-married
#;-) 29 24 Self-emp-inc Doctorate 5 Divorced
#;-) 30 70 Self-emp-inc Preschool 3 Never-married
#;-) 31 44 Self-emp-inc <NA> 3 Married-civ-spouse
#;-) 32 55 Private 12th 6 Divorced
#;-) 33 51 Local-gov 10th 1 Never-married
#;-) 34 86 State-gov Doctorate 11 Married-spouse-absent
#;-) 35 89 Federal-gov 9th 15 Divorced
#;-) 36 80 Self-emp-inc Assoc-voc 3 Never-married
#;-) 37 30 <NA> 11th 5 Married-civ-spouse
#;-) 38 42 Private Masters 2 <NA>
#;-) 39 55 State-gov Preschool 8 Married-AF-spouse
#;-) 40 38 Local-gov 10th 14 Divorced
#;-) 41 58 Private 7th-8th 10 Separated
#;-) 42 64 Never-worked Doctorate 5 Married-spouse-absent
#;-) 43 77 State-gov 10th 3 Married-AF-spouse
#;-) 44 33 Never-worked Doctorate 8 <NA>
#;-) 45 23 Private 7th-8th 5 Divorced
#;-) 46 89 Self-emp-inc Prof-school 11 Married-civ-spouse
#;-) 47 56 Local-gov 10th 14 Widowed
#;-) 48 48 State-gov Doctorate 13 Married-civ-spouse
#;-) 49 67 Without-pay Some-college 3 Never-married
#;-) 50 51 State-gov HS-grad 4 Separated
#;-) 51 21 Local-gov Preschool 4 Married-spouse-absent
#;-) 52 30 Self-emp-inc HS-grad 11 Married-AF-spouse
#;-) 53 86 Never-worked Masters 15 Married-civ-spouse
#;-) 54 42 State-gov 9th 1 Divorced
#;-) 55 69 State-gov 5th-6th 4 Married-AF-spouse
#;-) 56 39 Local-gov 9th 7 <NA>
#;-) 57 49 State-gov 5th-6th 16 <NA>
#;-) 58 42 Federal-gov Bachelors 9 Married-spouse-absent
#;-) 59 52 Federal-gov Prof-school 14 Married-spouse-absent
#;-) 60 <NA> Federal-gov Some-college 11 Married-civ-spouse
#;-) 61 47 Self-emp-inc 7th-8th 6 Married-AF-spouse
#;-) 62 29 Never-worked 1st-4th 5 Widowed
#;-) 63 48 Federal-gov Bachelors 14 Divorced
#;-) 64 47 Local-gov 10th 11 Married-spouse-absent
#;-) 65 81 Federal-gov <NA> 12 Widowed
#;-) 66 31 State-gov 12th 6 Separated
#;-) 67 88 Self-emp-not-inc 10th 3 Never-married
#;-) 68 84 Federal-gov Bachelors 15 Separated
#;-) 69 40 Self-emp-inc 10th 14 Separated
#;-) 70 54 Private Prof-school 1 Married-spouse-absent
#;-) 71 25 Self-emp-inc Assoc-voc 12 Separated
#;-) 72 68 Never-worked Assoc-acdm 7 Widowed
#;-) 73 67 Local-gov Doctorate 1 Married-AF-spouse
#;-) 74 63 Local-gov Bachelors 10 Married-AF-spouse
#;-) 75 34 Never-worked 1st-4th 2 Widowed
#;-) 76 79 Self-emp-not-inc Assoc-acdm 3 Divorced
#;-) 77 63 Self-emp-inc HS-grad 9 Never-married
#;-) 78 71 Self-emp-inc 12th 11 Married-civ-spouse
#;-) 79 52 Private 10th 4 Separated
#;-) 80 41 Self-emp-not-inc 5th-6th 1 Married-civ-spouse
#;-) 81 24 Federal-gov Assoc-voc 7 Divorced
#;-) 82 40 State-gov Some-college 11 Divorced
#;-) 83 43 Self-emp-inc 1st-4th 15 Married-civ-spouse
#;-) 84 49 Never-worked Assoc-voc 4 Divorced
#;-) 85 24 Federal-gov Some-college 2 Separated
#;-) 86 44 Never-worked 7th-8th 10 Divorced
#;-) 87 59 <NA> Bachelors 3 Married-spouse-absent
#;-) 88 22 Federal-gov Masters 4 Married-civ-spouse
#;-) 89 87 Federal-gov <NA> 4 Never-married
#;-) 90 33 Self-emp-not-inc Some-college 11 Never-married
#;-) 91 41 Private Doctorate 9 Separated
#;-) 92 49 Private 9th 12 Married-AF-spouse
#;-) 93 38 Local-gov 9th 13 Married-spouse-absent
#;-) 94 72 Private Assoc-voc 2 Married-spouse-absent
#;-) 95 53 Local-gov 5th-6th 11 Married-spouse-absent
#;-) 96 56 Federal-gov HS-grad 8 Married-civ-spouse
#;-) 97 71 Private 5th-6th 3 Never-married
#;-) 98 <NA> Without-pay Some-college 10 Married-spouse-absent
#;-) 99 88 Private 9th 16 Married-civ-spouse
#;-) 100 65 Self-emp-inc 7th-8th 15 Never-married
#;-) 101 73 Local-gov Assoc-acdm 15 Divorced
#;-) 102 56 Local-gov 10th 5 Divorced
#;-) 103 85 Private Masters 15 Separated
#;-) 104 18 Without-pay Preschool 2 Widowed
#;-) 105 57 State-gov Masters 4 Separated
#;-) 106 47 Private 12th 10 Married-AF-spouse
#;-) 107 33 Without-pay Prof-school 5 Divorced
#;-) 108 71 <NA> 9th 7 Married-AF-spouse
#;-) 109 65 Private 10th 15 Widowed
#;-) 110 37 Private HS-grad 13 Separated
#;-) 111 84 Self-emp-inc 7th-8th 15 Married-spouse-absent
#;-) 112 53 Self-emp-inc Preschool 2 Married-spouse-absent
#;-) 113 69 State-gov 11th 2 Married-civ-spouse
#;-) 114 39 Self-emp-not-inc Some-college 10 Divorced
#;-) 115 66 Private 11th 5 <NA>
#;-) 116 59 Local-gov <NA> 16 Married-civ-spouse
#;-) 117 76 Federal-gov Masters 11 Never-married
#;-) 118 28 Without-pay 9th 9 Divorced
#;-) 119 72 Local-gov 10th 13 Married-AF-spouse
#;-) 120 25 Self-emp-not-inc 12th 9 Married-spouse-absent
#;-) 121 63 Local-gov 11th 1 Widowed
#;-) 122 83 Never-worked Preschool 9 Widowed
#;-) 123 63 Private Assoc-acdm 2 Married-AF-spouse
#;-) 124 87 State-gov 9th 11 Divorced
#;-) 125 89 Without-pay 5th-6th 16 Married-spouse-absent
#;-) 126 61 Self-emp-inc Bachelors 13 Married-civ-spouse
#;-) 127 49 State-gov 5th-6th 12 Separated
#;-) 128 53 Never-worked HS-grad 6 Widowed
#;-) 129 62 Private 11th 2 Divorced
#;-) 130 31 State-gov Some-college 12 Married-spouse-absent
#;-) 131 33 Private 11th 13 Separated
#;-) 132 <NA> State-gov Assoc-voc 9 Divorced
#;-) 133 57 <NA> Preschool 11 Widowed
#;-) 134 57 Local-gov 10th 5 Married-spouse-absent
#;-) 135 27 Self-emp-not-inc Masters 9 Widowed
#;-) 136 89 Private Prof-school 8 Separated
#;-) 137 26 Without-pay <NA> 4 Never-married
#;-) 138 24 Self-emp-not-inc 11th 3 Never-married
#;-) 139 24 Self-emp-inc Assoc-acdm 5 Married-AF-spouse
#;-) 140 75 Private HS-grad 13 Never-married
#;-) 141 78 Never-worked Doctorate 8 <NA>
#;-) 142 41 Local-gov 1st-4th 3 Widowed
#;-) 143 80 Without-pay Assoc-voc 14 Married-AF-spouse
#;-) 144 71 Self-emp-not-inc 10th 14 Married-AF-spouse
#;-) 145 <NA> State-gov Prof-school 14 Married-AF-spouse
#;-) 146 43 Self-emp-not-inc <NA> 15 Married-AF-spouse
#;-) 147 50 Without-pay 5th-6th 15 Never-married
#;-) 148 74 Private 12th 1 Married-spouse-absent
#;-) 149 46 Self-emp-inc HS-grad 3 <NA>
#;-) 150 27 Private 7th-8th 2 Divorced
#;-) 151 70 State-gov 5th-6th 11 Married-spouse-absent
#;-) 152 71 State-gov 12th 5 Never-married
#;-) 153 28 State-gov Doctorate 13 Married-spouse-absent
#;-) 154 42 Never-worked Some-college 2 Separated
#;-) 155 69 Federal-gov Masters 14 Widowed
#;-) 156 43 State-gov 1st-4th 2 Married-civ-spouse
#;-) 157 24 Private Some-college 10 Separated
#;-) 158 42 Federal-gov Masters 6 Separated
#;-) 159 49 State-gov Some-college 6 Married-civ-spouse
#;-) 160 41 Self-emp-not-inc Prof-school 16 <NA>
#;-) 161 74 Without-pay Prof-school 1 Widowed
#;-) 162 90 Never-worked Prof-school 3 Married-civ-spouse
#;-) 163 <NA> Self-emp-inc HS-grad 16 Married-civ-spouse
#;-) 164 31 State-gov 12th 13 Never-married
#;-) 165 23 Without-pay Assoc-voc 7 Divorced
#;-) 166 18 State-gov 11th 7 Married-civ-spouse
#;-) 167 <NA> Self-emp-inc 5th-6th 3 Married-civ-spouse
#;-) 168 46 Local-gov 1st-4th 10 Married-AF-spouse
#;-) 169 43 Private <NA> 12 Married-civ-spouse
#;-) 170 44 Self-emp-inc Some-college 2 Married-AF-spouse
#;-) 171 24 Never-worked 12th 4 Divorced
#;-) 172 77 Private Prof-school 5 Married-civ-spouse
#;-) 173 43 Federal-gov <NA> 14 Married-spouse-absent
#;-) 174 58 State-gov Assoc-acdm 1 Divorced
#;-) 175 23 State-gov Assoc-voc 11 Widowed
#;-) 176 48 Never-worked Prof-school 15 Separated
#;-) 177 34 Without-pay Some-college 13 Divorced
#;-) 178 81 Self-emp-inc Masters 14 Divorced
#;-) 179 <NA> <NA> 7th-8th 8 Separated
#;-) 180 74 Never-worked 5th-6th 10 Married-AF-spouse
#;-) 181 37 Without-pay Masters 14 Married-spouse-absent
#;-) 182 52 Self-emp-inc Masters 15 Separated
#;-) 183 50 Never-worked 10th 9 Widowed
#;-) 184 83 <NA> Bachelors 3 Widowed
#;-) 185 21 Private Assoc-voc 5 Never-married
#;-) 186 22 State-gov Doctorate 8 Married-AF-spouse
#;-) 187 42 Self-emp-inc <NA> 10 Widowed
#;-) 188 25 Federal-gov 11th 3 Married-civ-spouse
#;-) 189 72 Private Bachelors 15 <NA>
#;-) 190 62 Never-worked 10th 1 Never-married
#;-) 191 35 Private Preschool 1 Married-spouse-absent
#;-) 192 59 <NA> 1st-4th 2 Widowed
#;-) 193 48 Self-emp-not-inc 1st-4th 10 Separated
#;-) 194 23 Local-gov Bachelors 8 Married-spouse-absent
#;-) 195 88 Self-emp-not-inc Prof-school 9 Married-AF-spouse
#;-) 196 78 Local-gov Bachelors 3 Married-spouse-absent
#;-) 197 65 Self-emp-inc 9th 10 Married-AF-spouse
#;-) 198 34 Without-pay Masters 11 Never-married
#;-) 199 62 Self-emp-not-inc 11th 1 Married-spouse-absent
#;-) 200 80 Federal-gov HS-grad 2 Married-spouse-absent
#;-) 201 70 Local-gov 1st-4th 3 Married-AF-spouse
#;-) 202 <NA> Never-worked Masters 6 Married-spouse-absent
#;-) 203 80 State-gov 9th 3 Married-spouse-absent
#;-) 204 88 Private Masters 10 Married-spouse-absent
#;-) 205 34 Never-worked 12th 8 Married-civ-spouse
#;-) 206 19 Local-gov 11th 2 Married-civ-spouse
#;-) 207 66 Private Assoc-voc 13 Never-married
#;-) 208 19 Without-pay Prof-school 3 Married-AF-spouse
#;-) 209 30 Private Bachelors 16 Married-spouse-absent
#;-) 210 41 Self-emp-not-inc Preschool 14 Separated
#;-) 211 66 Self-emp-not-inc Doctorate 5 Widowed
#;-) 212 84 Private Prof-school 9 Married-spouse-absent
#;-) 213 <NA> Self-emp-inc Masters 16 Married-AF-spouse
#;-) 214 54 Private Some-college 10 Widowed
#;-) 215 80 Self-emp-not-inc 10th 10 Widowed
#;-) 216 30 Self-emp-inc Masters 1 Separated
#;-) 217 59 Private 10th 14 Married-spouse-absent
#;-) 218 78 Private 7th-8th 9 Widowed
#;-) 219 87 State-gov Assoc-voc 3 Separated
#;-) 220 55 State-gov HS-grad 4 Never-married
#;-) 221 81 Without-pay HS-grad 1 Married-spouse-absent
#;-) 222 53 Self-emp-not-inc 11th 1 Married-spouse-absent
#;-) 223 52 Without-pay 12th 6 Married-spouse-absent
#;-) 224 84 <NA> HS-grad 13 Widowed
#;-) 225 65 Federal-gov Bachelors 10 Married-spouse-absent
#;-) 226 83 Never-worked HS-grad 7 Married-spouse-absent
#;-) 227 40 Never-worked <NA> 7 Divorced
#;-) 228 84 Local-gov Assoc-voc 10 Divorced
#;-) 229 26 Private 12th 16 Separated
#;-) 230 <NA> Local-gov 1st-4th 2 Divorced
#;-) 231 56 Self-emp-not-inc Assoc-voc 13 Married-spouse-absent
#;-) 232 48 Private Preschool 14 Divorced
#;-) 233 90 Federal-gov Preschool 5 Married-civ-spouse
#;-) 234 53 Without-pay Assoc-voc 4 Widowed
#;-) 235 39 State-gov 5th-6th 9 Separated
#;-) 236 61 Federal-gov Prof-school 7 Divorced
#;-) 237 58 Without-pay 12th 7 Widowed
#;-) 238 60 Never-worked Masters 12 Divorced
#;-) 239 56 Self-emp-inc Preschool 7 Married-AF-spouse
#;-) 240 54 Self-emp-not-inc 5th-6th 16 Married-civ-spouse
#;-) 241 50 Without-pay Assoc-acdm 7 Never-married
#;-) 242 29 Federal-gov Masters 5 Divorced
#;-) 243 38 Without-pay Prof-school 9 Divorced
#;-) 244 52 Self-emp-inc Prof-school 8 Separated
#;-) 245 47 Self-emp-inc 1st-4th 9 Divorced
#;-) 246 67 State-gov 5th-6th 11 Widowed
#;-) 247 64 Self-emp-not-inc Doctorate 15 Divorced
#;-) 248 84 Without-pay 12th 3 Divorced
#;-) 249 59 Never-worked 7th-8th 6 <NA>
#;-) 250 57 Private Bachelors 3 Separated
#;-) 251 59 State-gov <NA> 2 Married-civ-spouse
#;-) 252 43 State-gov 1st-4th 12 Divorced
#;-) 253 30 <NA> HS-grad 11 Widowed
#;-) 254 37 Federal-gov <NA> 2 Married-AF-spouse
#;-) 255 37 Local-gov 1st-4th 14 Divorced
#;-) 256 <NA> Local-gov Bachelors 6 Divorced
#;-) 257 25 Local-gov 7th-8th 5 Never-married
#;-) 258 56 Local-gov 5th-6th 10 Married-AF-spouse
#;-) 259 80 State-gov Assoc-acdm 6 Married-spouse-absent
#;-) 260 28 Self-emp-not-inc <NA> 16 Divorced
#;-) 261 <NA> Never-worked 12th 11 Married-spouse-absent
#;-) 262 36 State-gov Assoc-voc 1 Divorced
#;-) 263 30 Self-emp-not-inc Masters 8 Divorced
#;-) 264 48 Without-pay Assoc-voc 13 Married-spouse-absent
#;-) 265 47 State-gov 7th-8th 7 Married-spouse-absent
#;-) 266 39 State-gov HS-grad 11 Married-civ-spouse
#;-) 267 33 Local-gov 1st-4th 9 Married-civ-spouse
#;-) 268 86 Without-pay 12th 7 Married-civ-spouse
#;-) 269 53 Self-emp-inc 11th 4 Married-civ-spouse
#;-) 270 67 Never-worked 7th-8th 12 Divorced
#;-) 271 50 Private Masters 13 Divorced
#;-) 272 45 Self-emp-not-inc Masters 12 Widowed
#;-) 273 66 Without-pay Assoc-voc 2 <NA>
#;-) 274 29 Self-emp-not-inc Bachelors 10 Divorced
#;-) 275 70 <NA> HS-grad 1 Married-spouse-absent
#;-) 276 45 Local-gov Masters 12 Divorced
#;-) 277 83 Without-pay 7th-8th 14 Never-married
#;-) 278 67 Private 5th-6th 1 Married-civ-spouse
#;-) 279 64 Private 1st-4th 6 Divorced
#;-) 280 68 Self-emp-not-inc 5th-6th 2 Divorced
#;-) 281 23 Self-emp-not-inc 1st-4th 10 Married-spouse-absent
#;-) 282 32 Self-emp-not-inc 5th-6th 10 Married-spouse-absent
#;-) 283 36 Self-emp-inc Bachelors 2 Married-spouse-absent
#;-) 284 76 Without-pay Prof-school 1 Never-married
#;-) 285 20 State-gov Masters 2 Married-civ-spouse
#;-) 286 50 Self-emp-inc Bachelors 8 Divorced
#;-) 287 <NA> Never-worked Doctorate 8 Married-civ-spouse
#;-) 288 62 Local-gov Assoc-voc 6 Married-AF-spouse
#;-) 289 27 <NA> Prof-school 2 Widowed
#;-) 290 <NA> Without-pay Bachelors 5 Separated
#;-) 291 41 State-gov 9th 10 <NA>
#;-) 292 35 Self-emp-inc Bachelors 11 <NA>
#;-) 293 76 Self-emp-not-inc <NA> 14 <NA>
#;-) 294 26 Local-gov Assoc-voc 8 Married-AF-spouse
#;-) 295 70 Never-worked 11th 13 Married-spouse-absent
#;-) 296 28 Private Assoc-voc 2 Never-married
#;-) 297 25 State-gov 1st-4th 12 Married-AF-spouse
#;-) 298 22 Without-pay Preschool 7 Married-civ-spouse
#;-) 299 46 Self-emp-inc Doctorate 5 Married-AF-spouse
#;-) 300 67 Self-emp-not-inc 1st-4th 14 Separated
#;-) 301 87 Federal-gov Prof-school 4 Never-married
#;-) 302 43 Private Assoc-acdm 9 Divorced
#;-) 303 90 Private Preschool 10 Married-spouse-absent
#;-) 304 28 Self-emp-inc Assoc-acdm 2 Separated
#;-) 305 23 Self-emp-not-inc 11th 12 Married-spouse-absent
#;-) 306 <NA> Private Assoc-voc 4 Married-civ-spouse
#;-) 307 44 State-gov 12th 13 Separated
#;-) 308 85 Self-emp-not-inc 11th 1 Never-married
#;-) 309 <NA> Self-emp-inc Prof-school 10 Married-civ-spouse
#;-) 310 <NA> Self-emp-not-inc HS-grad 3 Married-spouse-absent
#;-) 311 57 State-gov 1st-4th 10 Divorced
#;-) 312 23 State-gov 11th 13 Widowed
#;-) 313 53 Without-pay 10th 10 Married-AF-spouse
#;-) 314 72 Never-worked HS-grad 1 Married-spouse-absent
#;-) 315 65 State-gov 12th 14 Married-AF-spouse
#;-) 316 27 Never-worked 9th 5 Married-spouse-absent
#;-) 317 42 Federal-gov HS-grad 13 Never-married
#;-) 318 55 Federal-gov Bachelors 15 Married-AF-spouse
#;-) 319 42 Self-emp-not-inc 12th 4 Married-spouse-absent
#;-) 320 21 <NA> 5th-6th 12 Divorced
#;-) 321 69 Self-emp-not-inc 7th-8th 6 Separated
#;-) 322 39 Without-pay 7th-8th 12 Never-married
#;-) 323 <NA> Self-emp-inc 10th 4 Married-spouse-absent
#;-) 324 56 Without-pay Prof-school 9 Separated
#;-) 325 64 Federal-gov Masters 4 Never-married
#;-) 326 77 Local-gov 10th 7 Married-civ-spouse
#;-) 327 80 Self-emp-inc Doctorate 5 Separated
#;-) 328 54 Without-pay Prof-school 16 Married-AF-spouse
#;-) 329 63 Self-emp-inc 5th-6th 12 Divorced
#;-) 330 71 Without-pay Masters 5 Separated
#;-) 331 64 Self-emp-not-inc Assoc-voc 8 Married-civ-spouse
#;-) 332 33 Self-emp-inc 5th-6th 16 Separated
#;-) 333 36 Federal-gov Prof-school 3 Separated
#;-) 334 89 Private 9th 2 Never-married
#;-) 335 48 Self-emp-inc Assoc-acdm 12 Married-civ-spouse
#;-) 336 54 Self-emp-not-inc Bachelors 7 Married-AF-spouse
#;-) 337 65 Never-worked Assoc-acdm 4 Divorced
#;-) 338 77 Private Some-college 11 Divorced
#;-) 339 79 Without-pay HS-grad 14 Widowed
#;-) 340 26 <NA> Masters 2 Separated
#;-) 341 28 Federal-gov Assoc-acdm 3 Never-married
#;-) 342 60 Without-pay Prof-school 3 Married-civ-spouse
#;-) 343 47 State-gov Masters 5 Married-civ-spouse
#;-) 344 78 Local-gov 10th 5 Widowed
#;-) 345 72 Never-worked 11th 15 Married-civ-spouse
#;-) 346 78 Self-emp-not-inc 1st-4th 4 <NA>
#;-) 347 51 Never-worked Bachelors 2 Separated
#;-) 348 74 Without-pay 12th 2 Divorced
#;-) 349 55 Never-worked 5th-6th 6 Never-married
#;-) 350 80 Without-pay <NA> 3 Separated
#;-) 351 63 State-gov 12th 6 Separated
#;-) 352 <NA> Self-emp-not-inc 5th-6th 13 Married-civ-spouse
#;-) 353 35 Never-worked 1st-4th 7 Married-AF-spouse
#;-) 354 19 Never-worked HS-grad 10 Divorced
#;-) 355 89 Private 12th 2 Separated
#;-) 356 38 Self-emp-inc 9th 10 Divorced
#;-) 357 74 State-gov Assoc-acdm 2 Married-spouse-absent
#;-) 358 88 Without-pay Doctorate 7 Widowed
#;-) 359 89 Self-emp-inc Masters 2 Never-married
#;-) 360 76 Local-gov 1st-4th 1 Married-AF-spouse
#;-) 361 54 Self-emp-inc 9th 8 <NA>
#;-) 362 72 Without-pay <NA> 6 Divorced
#;-) 363 23 State-gov Assoc-acdm 2 Separated
#;-) 364 57 Self-emp-inc HS-grad 9 Divorced
#;-) 365 23 Never-worked Masters 4 <NA>
#;-) 366 <NA> Without-pay Preschool 6 <NA>
#;-) 367 49 <NA> Assoc-voc 6 Married-civ-spouse
#;-) 368 66 Self-emp-inc 5th-6th 9 Married-AF-spouse
#;-) 369 82 <NA> 9th 15 Widowed
#;-) 370 86 Private Doctorate 13 Never-married
#;-) 371 64 Private 5th-6th 7 Widowed
#;-) 372 37 Federal-gov Prof-school 14 Married-spouse-absent
#;-) 373 19 Federal-gov <NA> 9 Separated
#;-) 374 <NA> <NA> Doctorate 8 Married-AF-spouse
#;-) 375 80 Local-gov Doctorate 13 Never-married
#;-) 376 79 Without-pay HS-grad 7 Married-AF-spouse
#;-) 377 27 Federal-gov Assoc-voc 4 Married-AF-spouse
#;-) 378 76 Private 7th-8th 9 Married-AF-spouse
#;-) 379 66 Self-emp-inc HS-grad 6 Married-civ-spouse
#;-) 380 24 Self-emp-inc Prof-school 9 Married-spouse-absent
#;-) 381 78 Without-pay 1st-4th 2 Divorced
#;-) 382 55 State-gov Masters 12 Never-married
#;-) 383 53 Local-gov Bachelors 9 Separated
#;-) 384 <NA> Private Some-college 9 Divorced
#;-) 385 51 Self-emp-inc 10th 11 Divorced
#;-) 386 21 Private 9th 2 Married-spouse-absent
#;-) 387 71 State-gov 10th 15 <NA>
#;-) 388 46 Self-emp-inc Assoc-voc 9 Married-spouse-absent
#;-) 389 75 Federal-gov Prof-school 8 Divorced
#;-) 390 73 State-gov Prof-school 10 Never-married
#;-) 391 68 Local-gov Doctorate 9 Divorced
#;-) 392 67 Without-pay HS-grad 12 Married-spouse-absent
#;-) 393 65 Self-emp-not-inc Assoc-acdm 10 Widowed
#;-) 394 20 State-gov 5th-6th 2 Never-married
#;-) 395 50 Never-worked Assoc-voc 2 Married-AF-spouse
#;-) 396 51 Local-gov <NA> 10 Separated
#;-) 397 83 Local-gov 11th 5 Divorced
#;-) 398 81 Federal-gov HS-grad 10 Married-spouse-absent
#;-) 399 57 Self-emp-inc 5th-6th 2 Married-AF-spouse
#;-) 400 75 Federal-gov <NA> 4 Widowed
#;-) 401 37 Self-emp-not-inc Doctorate 6 Widowed
#;-) 402 42 Local-gov 7th-8th 15 Never-married
#;-) 403 88 Federal-gov 1st-4th 4 Widowed
#;-) 404 57 Federal-gov Preschool 4 Widowed
#;-) 405 78 Local-gov 1st-4th 13 Married-spouse-absent
#;-) 406 39 Federal-gov HS-grad 10 Divorced
#;-) 407 <NA> Without-pay Assoc-acdm 4 Widowed
#;-) 408 50 Self-emp-inc HS-grad 8 Widowed
#;-) 409 81 Never-worked Assoc-voc 5 Married-civ-spouse
#;-) 410 70 Private 11th 2 Married-civ-spouse
#;-) 411 48 Federal-gov Doctorate 16 Married-AF-spouse
#;-) 412 63 Self-emp-not-inc 9th 15 Never-married
#;-) 413 89 Local-gov Assoc-acdm 2 Married-spouse-absent
#;-) 414 41 Self-emp-inc Some-college 12 Divorced
#;-) 415 77 Local-gov Some-college 16 Married-civ-spouse
#;-) 416 47 Without-pay Assoc-acdm 4 Married-civ-spouse
#;-) 417 40 State-gov Assoc-voc 14 Separated
#;-) 418 34 Never-worked <NA> 1 Separated
#;-) 419 76 Local-gov Doctorate 1 Separated
#;-) 420 74 Without-pay 11th 8 Married-civ-spouse
#;-) 421 60 Never-worked 10th 2 Divorced
#;-) 422 40 Federal-gov 9th 9 Married-spouse-absent
#;-) 423 62 Self-emp-inc 7th-8th 6 Divorced
#;-) 424 <NA> Self-emp-inc Preschool 16 Divorced
#;-) 425 53 State-gov 5th-6th 8 Widowed
#;-) 426 84 Never-worked Doctorate 8 Widowed
#;-) 427 56 Self-emp-not-inc 7th-8th 9 Never-married
#;-) 428 50 Federal-gov 1st-4th 10 Married-spouse-absent
#;-) 429 55 Local-gov 11th 2 Married-spouse-absent
#;-) 430 45 State-gov Some-college 10 Married-AF-spouse
#;-) 431 70 Self-emp-not-inc 1st-4th 16 Divorced
#;-) 432 27 Never-worked Assoc-voc 14 Married-spouse-absent
#;-) 433 58 Self-emp-not-inc Prof-school 16 Married-spouse-absent
#;-) 434 25 State-gov Some-college 3 Separated
#;-) 435 18 Self-emp-inc 12th 8 Separated
#;-) 436 83 Self-emp-inc 11th 16 Separated
#;-) 437 29 Local-gov Some-college 11 Never-married
#;-) 438 89 State-gov Preschool 15 Married-civ-spouse
#;-) 439 58 Without-pay 5th-6th 7 Widowed
#;-) 440 25 Private 5th-6th 12 Separated
#;-) 441 74 State-gov 11th 3 Married-spouse-absent
#;-) 442 90 Local-gov Assoc-acdm 12 Married-AF-spouse
#;-) 443 69 Self-emp-not-inc Preschool 2 Never-married
#;-) 444 84 Without-pay Assoc-voc 3 Divorced
#;-) 445 57 Never-worked Assoc-acdm 13 Married-civ-spouse
#;-) 446 19 Self-emp-inc 1st-4th 2 Never-married
#;-) 447 82 Self-emp-inc 5th-6th 9 Widowed
#;-) 448 90 Federal-gov 5th-6th 2 Married-spouse-absent
#;-) 449 24 Local-gov HS-grad 1 Separated
#;-) 450 46 Private Bachelors 3 Married-civ-spouse
#;-) 451 37 State-gov 1st-4th 15 Widowed
#;-) 452 24 Never-worked 10th 14 Married-civ-spouse
#;-) 453 62 Local-gov HS-grad 4 Widowed
#;-) 454 42 Self-emp-not-inc 12th 10 Widowed
#;-) 455 30 Without-pay Assoc-acdm 3 Married-AF-spouse
#;-) 456 27 <NA> 11th 6 Never-married
#;-) 457 58 Private 9th 16 Married-spouse-absent
#;-) 458 29 Without-pay 9th 5 Married-AF-spouse
#;-) 459 25 Local-gov <NA> 4 Married-AF-spouse
#;-) 460 88 Local-gov HS-grad 8 Separated
#;-) 461 32 Never-worked 1st-4th 4 Married-AF-spouse
#;-) 462 66 Self-emp-inc 1st-4th 16 Separated
#;-) 463 56 Local-gov 12th 7 Married-spouse-absent
#;-) 464 52 Never-worked Some-college 1 Married-AF-spouse
#;-) 465 23 Self-emp-inc Assoc-acdm 16 <NA>
#;-) 466 88 Private 12th 2 <NA>
#;-) 467 <NA> Federal-gov 12th 8 Separated
#;-) 468 <NA> Never-worked Assoc-voc 13 Married-spouse-absent
#;-) 469 25 Self-emp-not-inc Masters 3 Married-AF-spouse
#;-) 470 70 <NA> Bachelors 16 Widowed
#;-) 471 84 Never-worked 9th 13 Married-AF-spouse
#;-) 472 70 Federal-gov Prof-school 16 Married-civ-spouse
#;-) 473 31 <NA> Prof-school 12 Divorced
#;-) 474 45 Local-gov 5th-6th 5 Married-AF-spouse
#;-) 475 23 State-gov Bachelors 4 Widowed
#;-) 476 26 Without-pay 5th-6th 9 Never-married
#;-) 477 <NA> Private 10th 16 Widowed
#;-) 478 63 Without-pay Bachelors 11 Married-spouse-absent
#;-) 479 81 Federal-gov Bachelors 3 Widowed
#;-) 480 36 Self-emp-not-inc <NA> 12 Separated
#;-) 481 18 State-gov Doctorate 14 Married-AF-spouse
#;-) 482 69 Federal-gov HS-grad 16 Widowed
#;-) 483 85 Without-pay Doctorate 1 Married-AF-spouse
#;-) 484 <NA> Federal-gov Assoc-acdm 4 Divorced
#;-) 485 36 Self-emp-inc Some-college 9 Never-married
#;-) 486 52 Never-worked 1st-4th 1 Married-civ-spouse
#;-) 487 50 State-gov 7th-8th 16 Widowed
#;-) 488 86 Self-emp-inc Masters 6 Married-AF-spouse
#;-) 489 78 State-gov <NA> 5 Married-civ-spouse
#;-) 490 40 Never-worked 11th 2 Married-civ-spouse
#;-) 491 58 Private Some-college 7 Never-married
#;-) 492 <NA> Without-pay 9th 16 Widowed
#;-) 493 66 Self-emp-not-inc HS-grad 15 Married-civ-spouse
#;-) 494 86 Self-emp-not-inc <NA> 11 Never-married
#;-) 495 81 State-gov Doctorate 14 Separated
#;-) 496 19 Federal-gov 9th 11 Divorced
#;-) 497 35 <NA> Bachelors 9 Never-married
#;-) 498 21 Self-emp-not-inc Prof-school 15 Married-spouse-absent
#;-) 499 89 Self-emp-inc Doctorate 16 Widowed
#;-) 500 82 Federal-gov Assoc-acdm 14 Separated
#;-) 501 28 State-gov Some-college 7 Married-spouse-absent
#;-) 502 74 Self-emp-inc Prof-school 12 Separated
#;-) 503 73 Private Assoc-voc 4 Divorced
#;-) 504 <NA> <NA> 9th 16 Widowed
#;-) 505 69 Federal-gov Prof-school 4 Married-civ-spouse
#;-) 506 78 Never-worked <NA> 10 Widowed
#;-) 507 53 Never-worked Prof-school 10 Never-married
#;-) 508 20 Local-gov HS-grad 1 Widowed
#;-) 509 24 Private 10th 9 Married-AF-spouse
#;-) 510 85 Without-pay Masters 14 Married-civ-spouse
#;-) 511 70 Without-pay Preschool 13 Married-spouse-absent
#;-) 512 41 Self-emp-inc Assoc-acdm 4 Married-civ-spouse
#;-) 513 85 Never-worked Preschool 8 Never-married
#;-) 514 84 Self-emp-not-inc 10th 11 Never-married
#;-) 515 28 Self-emp-not-inc HS-grad 6 Divorced
#;-) 516 22 Never-worked 5th-6th 1 Married-spouse-absent
#;-) 517 49 Never-worked 5th-6th 12 Divorced
#;-) 518 28 Never-worked Preschool 7 Divorced
#;-) 519 77 Never-worked 12th 13 Married-AF-spouse
#;-) 520 48 <NA> 9th 1 Separated
#;-) 521 62 Never-worked Doctorate 3 Never-married
#;-) 522 76 Federal-gov Assoc-voc 6 <NA>
#;-) 523 41 Without-pay <NA> 8 Married-AF-spouse
#;-) 524 52 Self-emp-not-inc Preschool 12 <NA>
#;-) 525 27 Local-gov Assoc-voc 2 Separated
#;-) 526 81 Local-gov 7th-8th 8 Married-spouse-absent
#;-) 527 89 Private Assoc-acdm 15 Separated
#;-) 528 61 State-gov Prof-school 2 Divorced
#;-) 529 <NA> Private Prof-school 14 Never-married
#;-) 530 49 Never-worked 11th 4 Never-married
#;-) 531 56 Local-gov 1st-4th 1 Married-spouse-absent
#;-) 532 24 Without-pay Bachelors 16 Separated
#;-) 533 55 Self-emp-inc 12th 6 <NA>
#;-) 534 34 State-gov Assoc-acdm 4 <NA>
#;-) 535 50 Never-worked 11th 8 Divorced
#;-) 536 19 Private 12th 7 Never-married
#;-) 537 83 Self-emp-inc Assoc-voc 10 Married-spouse-absent
#;-) 538 87 Self-emp-inc Masters 15 Widowed
#;-) 539 76 Self-emp-inc 9th 13 Married-civ-spouse
#;-) 540 64 Federal-gov Preschool 10 Widowed
#;-) 541 26 Private 1st-4th 2 Married-civ-spouse
#;-) 542 40 State-gov 12th 5 Never-married
#;-) 543 42 <NA> Masters 2 Never-married
#;-) 544 32 Without-pay 9th 4 Divorced
#;-) 545 89 Without-pay 5th-6th 16 Married-civ-spouse
#;-) 546 38 Local-gov <NA> 8 Never-married
#;-) 547 65 Self-emp-inc Some-college 1 Never-married
#;-) 548 90 Without-pay HS-grad 6 Married-AF-spouse
#;-) 549 60 Never-worked Assoc-acdm 8 Married-AF-spouse
#;-) 550 73 Local-gov Assoc-voc 3 Married-AF-spouse
#;-) 551 21 Federal-gov Preschool 6 Divorced
#;-) 552 88 Private 5th-6th 11 Married-civ-spouse
#;-) 553 73 Local-gov Some-college 6 Married-civ-spouse
#;-) 554 67 Federal-gov Prof-school 16 <NA>
#;-) 555 28 State-gov Bachelors 2 Married-spouse-absent
#;-) 556 77 Private Masters 14 Separated
#;-) 557 84 Without-pay Masters 11 Divorced
#;-) 558 75 Federal-gov 1st-4th 6 Married-spouse-absent
#;-) 559 57 Private 10th 7 Divorced
#;-) 560 30 Never-worked 1st-4th 5 Separated
#;-) 561 25 Private Some-college 1 Divorced
#;-) 562 19 Without-pay 1st-4th 6 Married-spouse-absent
#;-) 563 23 Federal-gov Doctorate 4 Married-spouse-absent
#;-) 564 34 Self-emp-inc 1st-4th 11 Married-spouse-absent
#;-) 565 49 Private Assoc-voc 11 Married-spouse-absent
#;-) 566 88 Self-emp-not-inc 12th 15 Never-married
#;-) 567 89 Local-gov Assoc-voc 14 Divorced
#;-) 568 34 Never-worked 10th 14 Married-AF-spouse
#;-) 569 88 <NA> 12th 2 Separated
#;-) 570 72 Federal-gov 9th 4 Never-married
#;-) 571 36 State-gov 1st-4th 4 Separated
#;-) 572 32 Self-emp-not-inc Doctorate 16 Married-civ-spouse
#;-) 573 63 Without-pay Preschool 1 Married-spouse-absent
#;-) 574 31 Never-worked Prof-school 16 <NA>
#;-) 575 44 Self-emp-not-inc 5th-6th 10 Separated
#;-) 576 50 Self-emp-not-inc 12th 12 <NA>
#;-) 577 67 Self-emp-inc 11th 6 Divorced
#;-) 578 35 Self-emp-not-inc Assoc-voc 9 Widowed
#;-) 579 37 Local-gov 9th 14 Married-civ-spouse
#;-) 580 59 Never-worked 7th-8th 1 Married-AF-spouse
#;-) 581 70 Private 9th 2 Married-civ-spouse
#;-) 582 80 Private <NA> 7 Married-spouse-absent
#;-) 583 <NA> Without-pay 12th 11 Married-spouse-absent
#;-) 584 48 Never-worked 10th 6 Married-AF-spouse
#;-) 585 72 <NA> 7th-8th 7 Separated
#;-) 586 35 Never-worked 12th 13 Separated
#;-) 587 61 Self-emp-inc Preschool 14 Widowed
#;-) 588 38 Never-worked Assoc-voc 11 Divorced
#;-) 589 <NA> Federal-gov Assoc-voc 2 <NA>
#;-) 590 53 Without-pay Masters 13 Widowed
#;-) 591 40 Self-emp-not-inc HS-grad 5 <NA>
#;-) 592 59 State-gov Some-college 6 Widowed
#;-) 593 86 State-gov 12th 10 Married-civ-spouse
#;-) 594 83 Federal-gov 5th-6th 14 Married-spouse-absent
#;-) 595 79 Federal-gov Preschool 12 Widowed
#;-) 596 81 Private Bachelors 8 Married-spouse-absent
#;-) 597 68 Self-emp-inc Assoc-voc 16 Married-AF-spouse
#;-) 598 35 Without-pay Bachelors 7 Divorced
#;-) 599 27 Never-worked 5th-6th 6 Separated
#;-) 600 90 Self-emp-inc 5th-6th 4 <NA>
#;-) 601 89 Without-pay Masters 1 Never-married
#;-) 602 19 Federal-gov HS-grad 2 Married-spouse-absent
#;-) 603 <NA> Self-emp-not-inc <NA> 1 Divorced
#;-) 604 22 Self-emp-not-inc Assoc-acdm 5 Married-civ-spouse
#;-) 605 44 Private HS-grad 11 Divorced
#;-) 606 40 Never-worked 7th-8th 8 Divorced
#;-) 607 20 Self-emp-not-inc 1st-4th 9 Married-spouse-absent
#;-) 608 <NA> Without-pay Bachelors 16 Married-civ-spouse
#;-) 609 75 Private Preschool 13 Married-spouse-absent
#;-) 610 24 Self-emp-inc 5th-6th 1 <NA>
#;-) 611 <NA> Self-emp-not-inc <NA> 14 Divorced
#;-) 612 48 Self-emp-inc Doctorate 11 Married-AF-spouse
#;-) 613 35 State-gov <NA> 16 Married-civ-spouse
#;-) 614 63 Private Doctorate 1 Married-AF-spouse
#;-) 615 26 Private Masters 10 Widowed
#;-) 616 34 Private 12th 10 Married-civ-spouse
#;-) 617 24 State-gov <NA> 2 Married-civ-spouse
#;-) 618 25 Local-gov Bachelors 14 Married-AF-spouse
#;-) 619 82 State-gov Preschool 12 Widowed
#;-) 620 26 Private 12th 16 Married-AF-spouse
#;-) 621 42 Without-pay Assoc-voc 16 Married-spouse-absent
#;-) 622 19 Private Prof-school 9 Never-married
#;-) 623 28 Without-pay Bachelors 4 Separated
#;-) 624 85 Federal-gov 10th 9 Married-AF-spouse
#;-) 625 57 Self-emp-inc 9th 1 Separated
#;-) 626 37 Never-worked Preschool 11 Separated
#;-) 627 28 Self-emp-not-inc Prof-school 12 Married-AF-spouse
#;-) 628 35 State-gov Preschool 11 Widowed
#;-) 629 71 Self-emp-not-inc Prof-school 11 Married-AF-spouse
#;-) 630 31 Federal-gov Prof-school 4 Married-civ-spouse
#;-) 631 84 Without-pay Masters 9 Married-AF-spouse
#;-) 632 84 Private Bachelors 2 Divorced
#;-) 633 56 Private 12th 1 Never-married
#;-) 634 40 Without-pay Preschool 12 Married-spouse-absent
#;-) 635 57 Federal-gov Assoc-voc 9 Widowed
#;-) 636 50 Private Masters 16 Married-civ-spouse
#;-) 637 54 Private Assoc-voc 14 Never-married
#;-) 638 77 Local-gov HS-grad 12 Married-AF-spouse
#;-) 639 46 State-gov Assoc-acdm 12 Married-civ-spouse
#;-) 640 87 Private 1st-4th 12 Widowed
#;-) 641 42 Self-emp-not-inc Some-college 13 Married-spouse-absent
#;-) 642 59 Self-emp-inc Bachelors 7 Never-married
#;-) 643 43 Local-gov 5th-6th 6 Married-AF-spouse
#;-) 644 61 Never-worked Some-college 3 Widowed
#;-) 645 <NA> Never-worked Bachelors 7 Divorced
#;-) 646 33 Self-emp-inc 7th-8th 11 Married-spouse-absent
#;-) 647 56 Private 11th 12 Widowed
#;-) 648 82 Without-pay HS-grad 8 Divorced
#;-) 649 75 Without-pay Assoc-acdm 4 Married-civ-spouse
#;-) 650 73 Self-emp-not-inc Assoc-acdm 16 Widowed
#;-) 651 60 Local-gov 7th-8th 1 Married-AF-spouse
#;-) 652 84 Without-pay 7th-8th 11 Widowed
#;-) 653 73 Self-emp-inc Masters 1 Married-civ-spouse
#;-) 654 39 Never-worked 11th 9 Married-AF-spouse
#;-) 655 34 Private 7th-8th 4 Married-spouse-absent
#;-) 656 31 Self-emp-not-inc 12th 5 Married-AF-spouse
#;-) 657 81 Self-emp-not-inc Preschool 16 Separated
#;-) 658 41 Federal-gov <NA> 3 Married-civ-spouse
#;-) 659 <NA> State-gov 10th 15 Divorced
#;-) 660 37 Federal-gov 9th 9 Widowed
#;-) 661 67 Self-emp-inc Assoc-acdm 8 Widowed
#;-) 662 34 Federal-gov 1st-4th 13 Never-married
#;-) 663 26 Self-emp-inc 10th 1 Never-married
#;-) 664 52 Never-worked 5th-6th 6 Widowed
#;-) 665 80 Without-pay Assoc-voc 5 Married-civ-spouse
#;-) 666 74 <NA> HS-grad 14 Never-married
#;-) 667 33 Local-gov 9th 9 Married-civ-spouse
#;-) 668 69 Never-worked Doctorate 10 Separated
#;-) 669 52 Self-emp-not-inc <NA> 13 Separated
#;-) 670 71 State-gov 5th-6th 9 Never-married
#;-) 671 43 Local-gov Prof-school 5 Married-spouse-absent
#;-) 672 30 Local-gov Some-college 1 Never-married
#;-) 673 53 Local-gov Doctorate 4 Separated
#;-) 674 64 State-gov Assoc-acdm 12 Separated
#;-) 675 42 <NA> 7th-8th 4 Widowed
#;-) 676 45 Without-pay Assoc-acdm 15 Divorced
#;-) 677 46 <NA> 10th 13 Divorced
#;-) 678 61 Federal-gov 11th 16 Separated
#;-) 679 71 Self-emp-inc 5th-6th 14 Married-AF-spouse
#;-) 680 42 Local-gov 9th 2 Married-spouse-absent
#;-) 681 46 Private 11th 10 Widowed
#;-) 682 37 Self-emp-inc Some-college 14 Married-spouse-absent
#;-) 683 <NA> Private Assoc-acdm 5 Separated
#;-) 684 52 Never-worked 9th 3 Married-civ-spouse
#;-) 685 72 Private Assoc-voc 5 Married-AF-spouse
#;-) 686 22 <NA> 5th-6th 13 Never-married
#;-) 687 73 Private 1st-4th 13 Married-spouse-absent
#;-) 688 61 Federal-gov HS-grad 15 Married-AF-spouse
#;-) 689 89 Never-worked 1st-4th 6 Married-AF-spouse
#;-) 690 55 Never-worked Bachelors 1 Divorced
#;-) 691 41 Without-pay 12th 10 <NA>
#;-) 692 65 Self-emp-inc 9th 7 Never-married
#;-) 693 32 Federal-gov 1st-4th 2 Married-AF-spouse
#;-) 694 82 Never-worked 12th 9 Separated
#;-) 695 71 <NA> 5th-6th 11 Widowed
#;-) 696 27 Self-emp-not-inc 12th 4 Married-civ-spouse
#;-) 697 59 Without-pay 10th 2 Divorced
#;-) 698 58 Self-emp-not-inc Masters 15 Widowed
#;-) 699 42 Never-worked Some-college 10 Married-spouse-absent
#;-) 700 69 Never-worked HS-grad 7 Married-spouse-absent
#;-) 701 54 Federal-gov 1st-4th 3 Separated
#;-) 702 44 Never-worked 10th 8 Widowed
#;-) 703 90 Self-emp-not-inc <NA> 13 Separated
#;-) 704 52 State-gov Assoc-acdm 3 Widowed
#;-) 705 51 Self-emp-not-inc Some-college 5 Married-civ-spouse
#;-) 706 <NA> Self-emp-inc Bachelors 15 Separated
#;-) 707 66 Self-emp-not-inc Prof-school 3 Separated
#;-) 708 52 Never-worked 11th 6 Married-civ-spouse
#;-) 709 46 Federal-gov 5th-6th 7 Married-civ-spouse
#;-) 710 88 Self-emp-inc 10th 12 Separated
#;-) 711 62 Never-worked Assoc-acdm 16 <NA>
#;-) 712 51 Self-emp-not-inc 11th 5 Married-AF-spouse
#;-) 713 90 Private 12th 8 Never-married
#;-) 714 64 Private Masters 16 Never-married
#;-) 715 18 Without-pay 7th-8th 8 Married-spouse-absent
#;-) 716 27 Local-gov <NA> 3 Widowed
#;-) 717 58 Self-emp-not-inc 12th 10 Married-spouse-absent
#;-) 718 58 State-gov 5th-6th 1 Widowed
#;-) 719 56 Self-emp-not-inc 11th 4 Married-AF-spouse
#;-) 720 23 Private HS-grad 4 Married-spouse-absent
#;-) 721 49 Self-emp-inc Assoc-acdm 11 Married-AF-spouse
#;-) 722 78 Federal-gov 5th-6th 15 Never-married
#;-) 723 33 Without-pay Assoc-acdm 4 Divorced
#;-) 724 19 Self-emp-not-inc Assoc-voc 9 <NA>
#;-) 725 51 State-gov Some-college 5 Married-civ-spouse
#;-) 726 47 Self-emp-not-inc 9th 7 Married-AF-spouse
#;-) 727 45 Never-worked HS-grad 5 Never-married
#;-) 728 75 <NA> Bachelors 1 Married-spouse-absent
#;-) 729 47 Local-gov 10th 4 Divorced
#;-) 730 56 Self-emp-not-inc 5th-6th 2 <NA>
#;-) 731 87 Self-emp-inc 5th-6th 11 Widowed
#;-) 732 85 Local-gov 9th 1 Divorced
#;-) 733 84 Never-worked Assoc-acdm 13 Married-AF-spouse
#;-) 734 63 Self-emp-inc Some-college 15 Divorced
#;-) 735 76 Self-emp-inc Doctorate 10 Separated
#;-) 736 65 Self-emp-not-inc 1st-4th 16 Widowed
#;-) 737 <NA> Self-emp-inc 12th 2 Widowed
#;-) 738 45 Never-worked 12th 4 Never-married
#;-) 739 84 Self-emp-inc 7th-8th 4 Never-married
#;-) 740 18 State-gov Preschool 10 Married-AF-spouse
#;-) 741 61 Never-worked 7th-8th 16 Separated
#;-) 742 66 Private <NA> 2 Widowed
#;-) 743 50 Private 1st-4th 16 Married-AF-spouse
#;-) 744 53 <NA> 11th 12 Married-AF-spouse
#;-) 745 30 Without-pay Some-college 16 Widowed
#;-) 746 63 Local-gov <NA> 8 Married-civ-spouse
#;-) 747 35 Without-pay 1st-4th 13 <NA>
#;-) 748 67 Self-emp-inc Masters 6 Separated
#;-) 749 43 Self-emp-not-inc 7th-8th 3 Married-civ-spouse
#;-) 750 53 Without-pay 11th 4 Divorced
#;-) 751 <NA> Federal-gov Doctorate 2 Separated
#;-) 752 <NA> Local-gov 9th 11 Widowed
#;-) 753 74 Private 1st-4th 1 Separated
#;-) 754 20 Local-gov Bachelors 16 Married-civ-spouse
#;-) 755 28 Self-emp-inc Masters 2 Married-AF-spouse
#;-) 756 68 Local-gov Some-college 8 Divorced
#;-) 757 47 Self-emp-not-inc Some-college 5 Separated
#;-) 758 33 Private Assoc-voc 12 Divorced
#;-) 759 28 State-gov 1st-4th 11 Never-married
#;-) 760 83 Never-worked Prof-school 15 Widowed
#;-) 761 39 Local-gov 5th-6th 15 Married-spouse-absent
#;-) 762 34 Never-worked 10th 7 Separated
#;-) 763 22 Federal-gov Assoc-acdm 2 Never-married
#;-) 764 79 State-gov Prof-school 15 Divorced
#;-) 765 52 Self-emp-not-inc Prof-school 5 Married-civ-spouse
#;-) 766 39 State-gov 1st-4th 9 Married-spouse-absent
#;-) 767 80 Never-worked HS-grad 15 Married-civ-spouse
#;-) 768 32 <NA> 10th 7 Married-spouse-absent
#;-) 769 52 Self-emp-inc HS-grad 9 Widowed
#;-) 770 47 State-gov 9th 8 Married-spouse-absent
#;-) 771 51 Federal-gov 7th-8th 9 Married-civ-spouse
#;-) 772 86 Self-emp-not-inc Bachelors 11 Married-spouse-absent
#;-) 773 86 <NA> 12th 10 Divorced
#;-) 774 88 Federal-gov HS-grad 1 Married-civ-spouse
#;-) 775 19 Without-pay Preschool 10 Never-married
#;-) 776 40 Private Preschool 15 Separated
#;-) 777 38 Self-emp-inc 5th-6th 7 Separated
#;-) 778 36 Never-worked Doctorate 12 Separated
#;-) 779 26 Private 12th 1 Never-married
#;-) 780 79 <NA> 1st-4th 12 Married-civ-spouse
#;-) 781 86 <NA> Preschool 5 <NA>
#;-) 782 62 State-gov Doctorate 3 Widowed
#;-) 783 49 Self-emp-not-inc 10th 2 Divorced
#;-) 784 65 Private 10th 14 Separated
#;-) 785 32 <NA> 9th 13 Separated
#;-) 786 43 Federal-gov Masters 7 Divorced
#;-) 787 37 Never-worked Some-college 13 Never-married
#;-) 788 52 Self-emp-inc 9th 15 Separated
#;-) 789 72 Never-worked <NA> 3 Never-married
#;-) 790 48 Self-emp-not-inc Assoc-voc 2 Widowed
#;-) 791 41 Self-emp-inc Some-college 9 Never-married
#;-) 792 34 Without-pay Prof-school 11 Never-married
#;-) 793 88 Federal-gov 7th-8th 10 Married-civ-spouse
#;-) 794 74 State-gov 12th 9 Divorced
#;-) 795 52 Private 12th 16 Never-married
#;-) 796 75 Local-gov Masters 9 Married-AF-spouse
#;-) 797 71 State-gov Bachelors 8 Never-married
#;-) 798 30 Without-pay Assoc-acdm 4 Never-married
#;-) 799 85 Self-emp-not-inc <NA> 11 Widowed
#;-) 800 42 Local-gov 9th 10 Separated
#;-) 801 46 Without-pay 9th 3 Married-AF-spouse
#;-) 802 70 Local-gov Some-college 4 Married-AF-spouse
#;-) 803 33 Private Assoc-voc 7 Divorced
#;-) 804 58 Self-emp-inc 9th 10 Separated
#;-) 805 26 Local-gov 10th 4 Widowed
#;-) 806 54 Federal-gov 5th-6th 14 Married-civ-spouse
#;-) 807 71 Self-emp-not-inc 9th 1 Divorced
#;-) 808 41 Never-worked 12th 5 Separated
#;-) 809 31 Without-pay Preschool 11 Married-AF-spouse
#;-) 810 47 Never-worked Doctorate 14 Divorced
#;-) 811 79 Self-emp-inc 9th 3 Divorced
#;-) 812 57 Self-emp-inc Preschool 4 Never-married
#;-) 813 56 Self-emp-inc <NA> 14 Married-spouse-absent
#;-) 814 89 Without-pay Preschool 16 Married-spouse-absent
#;-) 815 31 State-gov Preschool 1 Never-married
#;-) 816 65 Local-gov Masters 5 Divorced
#;-) 817 82 Self-emp-inc Prof-school 14 Married-civ-spouse
#;-) 818 40 <NA> HS-grad 3 Widowed
#;-) 819 43 Local-gov 12th 14 Married-spouse-absent
#;-) 820 63 <NA> 7th-8th 1 Divorced
#;-) 821 40 Without-pay Doctorate 11 <NA>
#;-) 822 80 Self-emp-not-inc 9th 1 Divorced
#;-) 823 38 State-gov Assoc-acdm 9 Never-married
#;-) 824 56 Federal-gov 5th-6th 11 Widowed
#;-) 825 88 State-gov Doctorate 11 Separated
#;-) 826 62 State-gov Masters 3 Married-AF-spouse
#;-) 827 64 <NA> 9th 4 Married-civ-spouse
#;-) 828 63 <NA> 5th-6th 12 Separated
#;-) 829 77 <NA> HS-grad 6 Married-spouse-absent
#;-) 830 34 Federal-gov 12th 12 Married-AF-spouse
#;-) 831 26 Self-emp-inc 11th 16 Never-married
#;-) 832 40 Without-pay Preschool 9 Never-married
#;-) 833 48 Self-emp-inc Prof-school 14 Married-civ-spouse
#;-) 834 55 State-gov Bachelors 9 Never-married
#;-) 835 50 Without-pay 1st-4th 15 Married-civ-spouse
#;-) 836 77 Self-emp-not-inc Some-college 14 Never-married
#;-) 837 89 Private Assoc-acdm 3 Married-spouse-absent
#;-) 838 22 Local-gov Preschool 8 Married-AF-spouse
#;-) 839 80 Never-worked 11th 16 Never-married
#;-) 840 58 Self-emp-inc <NA> 1 Divorced
#;-) 841 54 Without-pay 5th-6th 10 Separated
#;-) 842 63 Never-worked Some-college 11 Married-civ-spouse
#;-) 843 33 Never-worked 9th 1 Married-spouse-absent
#;-) 844 23 Self-emp-inc 12th 15 Married-AF-spouse
#;-) 845 69 State-gov Bachelors 7 Divorced
#;-) 846 89 Local-gov 12th 13 Married-AF-spouse
#;-) 847 63 Local-gov Doctorate 14 Divorced
#;-) 848 25 Private 10th 6 Divorced
#;-) 849 60 Private Doctorate 7 Divorced
#;-) 850 41 Local-gov Assoc-acdm 15 Divorced
#;-) 851 22 Never-worked 9th 11 Never-married
#;-) 852 31 Federal-gov Masters 14 Separated
#;-) 853 82 Self-emp-not-inc Prof-school 5 Widowed
#;-) 854 21 Private 7th-8th 15 Widowed
#;-) 855 52 Self-emp-not-inc 7th-8th 14 Married-civ-spouse
#;-) 856 27 Self-emp-not-inc Preschool 8 Widowed
#;-) 857 <NA> Self-emp-inc Some-college 16 Never-married
#;-) 858 65 <NA> 5th-6th 10 Never-married
#;-) 859 20 Without-pay <NA> 1 Divorced
#;-) 860 43 Without-pay Assoc-acdm 1 Separated
#;-) 861 77 Local-gov Doctorate 10 Widowed
#;-) 862 <NA> State-gov Assoc-acdm 8 Married-spouse-absent
#;-) 863 25 <NA> Prof-school 3 Married-civ-spouse
#;-) 864 34 Without-pay 1st-4th 4 Widowed
#;-) 865 22 State-gov Some-college 8 Separated
#;-) 866 49 Local-gov 9th 5 Married-spouse-absent
#;-) 867 19 Without-pay HS-grad 14 Widowed
#;-) 868 34 Self-emp-not-inc HS-grad 16 Divorced
#;-) 869 66 Private HS-grad 11 Widowed
#;-) 870 89 Self-emp-inc 7th-8th 16 Widowed
#;-) 871 68 Private Masters 3 Divorced
#;-) 872 35 Self-emp-not-inc 9th 14 Divorced
#;-) 873 43 Self-emp-not-inc 5th-6th 10 Married-spouse-absent
#;-) 874 47 Federal-gov Preschool 1 Married-AF-spouse
#;-) 875 86 Never-worked 12th 15 Married-civ-spouse
#;-) 876 63 Never-worked HS-grad 15 Widowed
#;-) 877 29 Federal-gov Bachelors 1 Widowed
#;-) 878 73 Private Masters 13 Divorced
#;-) 879 18 Federal-gov Some-college 4 Married-civ-spouse
#;-) 880 65 Federal-gov 9th 2 Divorced
#;-) 881 69 Without-pay Assoc-acdm 16 Separated
#;-) 882 <NA> Private Assoc-voc 14 Divorced
#;-) 883 86 Self-emp-inc 10th 5 Married-AF-spouse
#;-) 884 27 Self-emp-not-inc Some-college 16 Married-civ-spouse
#;-) 885 53 Self-emp-inc 12th 14 Widowed
#;-) 886 25 Without-pay 10th 9 Never-married
#;-) 887 66 Self-emp-inc 5th-6th 8 Never-married
#;-) 888 86 Local-gov 5th-6th 15 Never-married
#;-) 889 56 Never-worked HS-grad 13 Separated
#;-) 890 39 Private Preschool 5 Divorced
#;-) 891 27 Never-worked Prof-school 11 Married-spouse-absent
#;-) 892 79 Local-gov 11th 2 Divorced
#;-) 893 82 Never-worked HS-grad 14 Widowed
#;-) 894 64 Local-gov 10th 13 <NA>
#;-) 895 31 State-gov 5th-6th 11 Widowed
#;-) 896 88 Self-emp-not-inc 11th 12 Separated
#;-) 897 80 Private Masters 10 Divorced
#;-) 898 51 Federal-gov Some-college 13 Widowed
#;-) 899 36 <NA> Preschool 4 Married-civ-spouse
#;-) 900 39 Never-worked <NA> 2 Widowed
#;-) 901 35 Self-emp-not-inc Some-college 2 Divorced
#;-) 902 68 Local-gov 1st-4th 15 Married-AF-spouse
#;-) 903 84 Without-pay Bachelors 14 Never-married
#;-) 904 69 State-gov Masters 4 Married-AF-spouse
#;-) 905 80 <NA> 12th 9 Widowed
#;-) 906 54 Private Masters 15 Separated
#;-) 907 35 Self-emp-not-inc 5th-6th 2 <NA>
#;-) 908 58 Local-gov HS-grad 4 Married-civ-spouse
#;-) 909 82 Self-emp-inc 5th-6th 12 Separated
#;-) 910 56 Without-pay Preschool 13 Married-spouse-absent
#;-) 911 32 Never-worked 5th-6th 2 Married-AF-spouse
#;-) 912 <NA> Federal-gov HS-grad 11 Never-married
#;-) 913 87 Local-gov 12th 10 Divorced
#;-) 914 57 Self-emp-inc Doctorate 7 Never-married
#;-) 915 <NA> Never-worked Assoc-acdm 11 Never-married
#;-) 916 51 Never-worked Prof-school 14 Married-spouse-absent
#;-) 917 35 Private Some-college 4 Married-civ-spouse
#;-) 918 86 Without-pay HS-grad 10 Never-married
#;-) 919 77 Self-emp-inc Preschool 7 Divorced
#;-) 920 52 State-gov 10th 12 Separated
#;-) 921 87 State-gov Assoc-acdm 16 Married-spouse-absent
#;-) 922 71 Self-emp-not-inc Masters 2 <NA>
#;-) 923 60 Federal-gov Some-college 16 Married-AF-spouse
#;-) 924 90 Federal-gov Prof-school 2 Married-AF-spouse
#;-) 925 <NA> Without-pay 10th 12 Married-AF-spouse
#;-) 926 37 Without-pay 11th 6 Divorced
#;-) 927 64 Without-pay 7th-8th 10 Never-married
#;-) 928 58 Local-gov Prof-school 1 Married-civ-spouse
#;-) 929 31 Without-pay HS-grad 8 Widowed
#;-) 930 46 State-gov Doctorate 8 Never-married
#;-) 931 28 Private 11th 16 <NA>
#;-) 932 77 Never-worked Masters 7 Married-AF-spouse
#;-) 933 <NA> Without-pay 5th-6th 14 Divorced
#;-) 934 68 Federal-gov Prof-school 11 Divorced
#;-) 935 30 Federal-gov Some-college 10 Separated
#;-) 936 23 Private 9th 8 Divorced
#;-) 937 84 Federal-gov Doctorate 10 Never-married
#;-) 938 61 Self-emp-inc 7th-8th 3 Separated
#;-) 939 28 Self-emp-inc <NA> 14 Married-civ-spouse
#;-) 940 36 Local-gov 9th 15 Married-spouse-absent
#;-) 941 28 Local-gov 10th 11 Married-civ-spouse
#;-) 942 80 Never-worked 9th 14 Widowed
#;-) 943 39 Private Masters 10 <NA>
#;-) 944 28 Federal-gov 5th-6th 15 Separated
#;-) 945 44 Private 10th 2 Married-AF-spouse
#;-) 946 19 Self-emp-inc 11th 1 Never-married
#;-) 947 23 Federal-gov Masters 7 Married-AF-spouse
#;-) 948 72 Self-emp-not-inc Some-college 15 Divorced
#;-) 949 65 <NA> Doctorate 6 Never-married
#;-) 950 45 Self-emp-not-inc HS-grad 4 Married-spouse-absent
#;-) 951 46 Local-gov Assoc-acdm 7 Married-AF-spouse
#;-) 952 85 Self-emp-inc Bachelors 13 Never-married
#;-) 953 58 Private Assoc-acdm 14 Married-AF-spouse
#;-) 954 22 Federal-gov 12th 1 Married-civ-spouse
#;-) 955 26 Local-gov 1st-4th 9 Never-married
#;-) 956 45 Never-worked HS-grad 9 Separated
#;-) 957 32 State-gov Some-college 7 Never-married
#;-) 958 77 Federal-gov Masters 4 Widowed
#;-) 959 34 Federal-gov <NA> 7 Married-AF-spouse
#;-) 960 78 Self-emp-not-inc 10th 2 Separated
#;-) 961 58 Never-worked Masters 10 Married-AF-spouse
#;-) 962 42 Private Doctorate 4 Married-AF-spouse
#;-) 963 36 Self-emp-inc Assoc-acdm 12 <NA>
#;-) 964 69 Never-worked Doctorate 16 <NA>
#;-) 965 88 Self-emp-inc Doctorate 13 Married-AF-spouse
#;-) 966 28 Without-pay Assoc-acdm 4 Married-AF-spouse
#;-) 967 32 Local-gov HS-grad 11 Married-spouse-absent
#;-) 968 90 Self-emp-inc 1st-4th 1 Widowed
#;-) 969 28 Never-worked Preschool 16 Separated
#;-) 970 50 Local-gov Prof-school 7 Married-spouse-absent
#;-) 971 90 Self-emp-not-inc Masters 2 Separated
#;-) 972 40 Private 10th 6 Separated
#;-) 973 34 Self-emp-not-inc Prof-school 13 Married-civ-spouse
#;-) 974 27 <NA> 12th 7 Divorced
#;-) 975 89 Federal-gov 12th 8 Married-spouse-absent
#;-) 976 35 Without-pay HS-grad 4 Divorced
#;-) 977 41 State-gov Assoc-voc 14 Married-AF-spouse
#;-) 978 67 Self-emp-not-inc Assoc-voc 3 Married-AF-spouse
#;-) 979 88 Federal-gov 9th 1 Separated
#;-) 980 29 State-gov <NA> 13 Widowed
#;-) 981 20 Without-pay Assoc-voc 8 Never-married
#;-) 982 48 Self-emp-inc Preschool 4 Separated
#;-) 983 38 Federal-gov 9th 16 Married-civ-spouse
#;-) 984 79 Never-worked 11th 11 Never-married
#;-) 985 51 State-gov Assoc-acdm 16 Married-AF-spouse
#;-) 986 45 Without-pay 7th-8th 8 Separated
#;-) 987 53 State-gov 5th-6th 3 Married-civ-spouse
#;-) 988 43 Self-emp-inc Some-college 1 Separated
#;-) 989 18 Private Masters 5 Married-civ-spouse
#;-) 990 38 Self-emp-inc 10th 7 <NA>
#;-) 991 59 Local-gov <NA> 14 Divorced
#;-) 992 52 Local-gov Some-college 13 Married-civ-spouse
#;-) 993 29 <NA> <NA> 10 Married-civ-spouse
#;-) 994 30 Local-gov 5th-6th 5 Never-married
#;-) 995 67 Private 5th-6th 11 Never-married
#;-) 996 81 State-gov Bachelors 2 Never-married
#;-) 997 50 Federal-gov 5th-6th 10 Married-AF-spouse
#;-) 998 41 Private 10th 4 Separated
#;-) 999 26 Self-emp-inc 9th 8 Separated
#;-) 1000 48 Never-worked Doctorate 4 Divorced
#;-) occupation relationship race sex capital_gain
#;-) 1 Prof-specialty Other-relative Black Male 7826
#;-) 2 Priv-house-serv Unmarried Asian-Pac-Islander Female 84532
#;-) 3 Protective-serv Wife Black Male 35297
#;-) 4 Handlers-cleaners Other-relative Asian-Pac-Islander Male 27074
#;-) 5 Machine-op-inspct Other-relative White Female 73785
#;-) 6 Adm-clerical Husband Black Male 2553
#;-) 7 Adm-clerical Other-relative Other Female 19616
#;-) 8 Handlers-cleaners Husband Asian-Pac-Islander Male 91705
#;-) 9 <NA> Unmarried White Male 53923
#;-) 10 Prof-specialty Not-in-family Asian-Pac-Islander Female 21279
#;-) 11 Tech-support Other-relative White Female 74141
#;-) 12 Priv-house-serv Not-in-family Amer-Indian-Eskimo Male 78936
#;-) 13 Exec-managerial Other-relative <NA> Female 28267
#;-) 14 Priv-house-serv Husband <NA> Male 69514
#;-) 15 Machine-op-inspct Unmarried Amer-Indian-Eskimo Male 46990
#;-) 16 Machine-op-inspct Not-in-family White Female 61531
#;-) 17 <NA> Wife White Female 60698
#;-) 18 Tech-support Other-relative Asian-Pac-Islander Female 89330
#;-) 19 Adm-clerical Wife Amer-Indian-Eskimo Male 5799
#;-) 20 Tech-support Wife White Male 47855
#;-) 21 Craft-repair Own-child White Male 62346
#;-) 22 Craft-repair Wife White Male 40269
#;-) 23 Priv-house-serv Own-child White Male 50968
#;-) 24 Sales Not-in-family Black Female 74735
#;-) 25 Farming-fishing Own-child Black Female 69634
#;-) 26 Armed-Forces Unmarried White Female 97981
#;-) 27 Tech-support Wife White Female 40317
#;-) 28 Exec-managerial <NA> Black Male 94851
#;-) 29 Machine-op-inspct Own-child Other Male 13838
#;-) 30 Machine-op-inspct Other-relative <NA> Male 7262
#;-) 31 Craft-repair Unmarried Black <NA> 54179
#;-) 32 Handlers-cleaners Husband Other Female 28624
#;-) 33 Handlers-cleaners Own-child <NA> Male 33168
#;-) 34 Priv-house-serv Unmarried Asian-Pac-Islander Male 54771
#;-) 35 Transport-moving Own-child Black Male 81984
#;-) 36 <NA> Other-relative Amer-Indian-Eskimo Male 47688
#;-) 37 Tech-support Wife Asian-Pac-Islander Male 48851
#;-) 38 Protective-serv Own-child Other Male 50639
#;-) 39 Sales Own-child Asian-Pac-Islander Male 29290
#;-) 40 Armed-Forces Own-child Other Female 67005
#;-) 41 Tech-support Wife Amer-Indian-Eskimo Male 89663
#;-) 42 Exec-managerial Not-in-family Other Male 50866
#;-) 43 Craft-repair Own-child Amer-Indian-Eskimo Male 67532
#;-) 44 <NA> Own-child Other Female 2828
#;-) 45 Sales Unmarried Other Female 33363
#;-) 46 Tech-support Other-relative Amer-Indian-Eskimo Male 35913
#;-) 47 Tech-support Husband White Female 58234
#;-) 48 Sales Not-in-family Amer-Indian-Eskimo Female 96698
#;-) 49 Prof-specialty Other-relative Amer-Indian-Eskimo Female 45499
#;-) 50 Sales Other-relative White Male 39825
#;-) 51 Prof-specialty Wife Amer-Indian-Eskimo Male 50574
#;-) 52 Armed-Forces Not-in-family Black Male 53753
#;-) 53 Adm-clerical Not-in-family White Female 5973
#;-) 54 Sales Wife Asian-Pac-Islander Male 81733
#;-) 55 Sales Own-child Asian-Pac-Islander Female 990
#;-) 56 Prof-specialty Other-relative Other Female 65870
#;-) 57 Farming-fishing Husband White Female 99180
#;-) 58 Craft-repair Other-relative Other Female 89400
#;-) 59 Armed-Forces Husband Amer-Indian-Eskimo Male 52550
#;-) 60 Machine-op-inspct Other-relative Black Male 57895
#;-) 61 Tech-support Husband Black Male 55035
#;-) 62 Farming-fishing Own-child Amer-Indian-Eskimo Female 93710
#;-) 63 Machine-op-inspct Not-in-family Amer-Indian-Eskimo Female 97595
#;-) 64 Exec-managerial Not-in-family Asian-Pac-Islander Female 1097
#;-) 65 Sales Husband Black Male 10331
#;-) 66 Machine-op-inspct Unmarried White Male 6313
#;-) 67 Armed-Forces Unmarried Black Male 59067
#;-) 68 Farming-fishing Wife Black Female 17922
#;-) 69 Priv-house-serv Not-in-family White Female 98599
#;-) 70 Craft-repair Own-child Asian-Pac-Islander Female 25093
#;-) 71 Prof-specialty Husband Amer-Indian-Eskimo Female 93550
#;-) 72 Armed-Forces Wife Asian-Pac-Islander Male 28905
#;-) 73 Craft-repair Unmarried Amer-Indian-Eskimo Male 48850
#;-) 74 Armed-Forces Unmarried Amer-Indian-Eskimo <NA> 55132
#;-) 75 Farming-fishing <NA> Black Female 46501
#;-) 76 Armed-Forces Unmarried Amer-Indian-Eskimo Female 62887
#;-) 77 Tech-support Husband Other Female 48007
#;-) 78 Machine-op-inspct Own-child White <NA> 94766
#;-) 79 Protective-serv <NA> Amer-Indian-Eskimo Female 50332
#;-) 80 Sales Unmarried Other Female 64063
#;-) 81 Other-service Unmarried Other Female 27366
#;-) 82 <NA> Unmarried Other Female 98953
#;-) 83 Transport-moving Unmarried Asian-Pac-Islander Male 80429
#;-) 84 Protective-serv Unmarried Black Female 57117
#;-) 85 Handlers-cleaners Other-relative Black Male 24621
#;-) 86 Protective-serv Husband Amer-Indian-Eskimo Female 62975
#;-) 87 Craft-repair Wife Other Male 2076
#;-) 88 Tech-support Husband Asian-Pac-Islander Male 31125
#;-) 89 Machine-op-inspct Other-relative Black Male 27357
#;-) 90 Armed-Forces Unmarried Other Female 29357
#;-) 91 Tech-support Wife Other Male 35929
#;-) 92 Exec-managerial Not-in-family Other Male 66779
#;-) 93 Handlers-cleaners Unmarried Black Male 55717
#;-) 94 Craft-repair Not-in-family Black Female 80184
#;-) 95 Armed-Forces Wife Other Female 21449
#;-) 96 Armed-Forces Own-child Other Male 52794
#;-) 97 Prof-specialty Husband Amer-Indian-Eskimo Female 27013
#;-) 98 Machine-op-inspct Own-child Black Female 50639
#;-) 99 Priv-house-serv Not-in-family Amer-Indian-Eskimo <NA> 7188
#;-) 100 <NA> <NA> Amer-Indian-Eskimo Female 10435
#;-) 101 Other-service Unmarried White Male 23484
#;-) 102 Exec-managerial Husband White Female 31713
#;-) 103 Adm-clerical Wife <NA> Male 30776
#;-) 104 Machine-op-inspct Not-in-family Black Female 72581
#;-) 105 Exec-managerial Husband White Male 46563
#;-) 106 Prof-specialty Husband Amer-Indian-Eskimo Male 53761
#;-) 107 Handlers-cleaners Own-child Amer-Indian-Eskimo Female 29403
#;-) 108 Armed-Forces Unmarried Asian-Pac-Islander Male 85632
#;-) 109 Tech-support Husband White Male 70734
#;-) 110 Tech-support Wife <NA> Female 4019
#;-) 111 Farming-fishing Other-relative Other Female 24588
#;-) 112 Adm-clerical Unmarried Asian-Pac-Islander Male 4258
#;-) 113 Machine-op-inspct Not-in-family Black Male 45669
#;-) 114 Farming-fishing Wife Asian-Pac-Islander Female 51453
#;-) 115 Other-service Wife Black Male 50639
#;-) 116 Craft-repair Own-child Amer-Indian-Eskimo Male 58431
#;-) 117 Other-service Unmarried <NA> Female 72267
#;-) 118 Handlers-cleaners Husband Amer-Indian-Eskimo Female 13804
#;-) 119 Prof-specialty Husband Other Female 73198
#;-) 120 Craft-repair Husband Amer-Indian-Eskimo Female 82708
#;-) 121 Handlers-cleaners Unmarried Asian-Pac-Islander Male 54116
#;-) 122 Tech-support Wife Amer-Indian-Eskimo Male 50639
#;-) 123 Priv-house-serv Wife Amer-Indian-Eskimo <NA> 79545
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#;-) 125 <NA> Own-child White Male 71321
#;-) 126 Machine-op-inspct Husband Black Male 31454
#;-) 127 Protective-serv Husband Amer-Indian-Eskimo Male 24587
#;-) 128 Prof-specialty Wife White Male 33047
#;-) 129 Farming-fishing Husband White Female 50639
#;-) 130 Transport-moving Other-relative Other Male 79728
#;-) 131 Priv-house-serv Unmarried White Female 75335
#;-) 132 Prof-specialty Own-child Other Female 95584
#;-) 133 Craft-repair Wife White Female 12005
#;-) 134 Protective-serv Own-child Asian-Pac-Islander Male 12727
#;-) 135 Farming-fishing <NA> <NA> Male 45540
#;-) 136 Other-service Husband Asian-Pac-Islander Female 56485
#;-) 137 Craft-repair Husband Other Female 52925
#;-) 138 Protective-serv Not-in-family Other <NA> 98168
#;-) 139 Other-service <NA> Asian-Pac-Islander Male 35144
#;-) 140 Handlers-cleaners Other-relative White Female 80239
#;-) 141 Prof-specialty Unmarried White Female 76385
#;-) 142 Exec-managerial Unmarried Amer-Indian-Eskimo Female 16904
#;-) 143 Tech-support Other-relative Amer-Indian-Eskimo Male 43678
#;-) 144 Adm-clerical Not-in-family Other Male 5406
#;-) 145 Sales Wife <NA> Female 37220
#;-) 146 Exec-managerial Other-relative Black Male 30724
#;-) 147 Priv-house-serv Other-relative Other Male 3718
#;-) 148 Craft-repair Wife White Male 62167
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#;-) 151 Priv-house-serv Not-in-family Amer-Indian-Eskimo Female 17636
#;-) 152 Craft-repair Husband Black Male 76004
#;-) 153 Craft-repair Wife Black Male 37891
#;-) 154 Tech-support Other-relative Asian-Pac-Islander Male 41320
#;-) 155 <NA> Other-relative Black Male 23528
#;-) 156 <NA> Husband Other Female 44048
#;-) 157 Adm-clerical Not-in-family Asian-Pac-Islander Female 6581
#;-) 158 Handlers-cleaners Not-in-family Black Female 6355
#;-) 159 Tech-support Unmarried Black Female 96116
#;-) 160 Handlers-cleaners Not-in-family Amer-Indian-Eskimo Female 25706
#;-) 161 <NA> Husband Asian-Pac-Islander Male 13905
#;-) 162 Other-service Not-in-family Black Female 98978
#;-) 163 Tech-support Own-child <NA> Female 97122
#;-) 164 Tech-support <NA> Other Male 12338
#;-) 165 Craft-repair Not-in-family Black Male 47149
#;-) 166 Protective-serv Husband Other Female 79479
#;-) 167 Craft-repair Husband Amer-Indian-Eskimo Female 52573
#;-) 168 Transport-moving Other-relative Asian-Pac-Islander Male 43845
#;-) 169 Other-service Unmarried Other Female 50639
#;-) 170 Prof-specialty Wife Black Male 72469
#;-) 171 Exec-managerial Other-relative White Male 11101
#;-) 172 <NA> <NA> Black Male 31207
#;-) 173 Handlers-cleaners Other-relative Asian-Pac-Islander <NA> 8185
#;-) 174 Exec-managerial Own-child Amer-Indian-Eskimo <NA> 2603
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#;-) 176 Exec-managerial Not-in-family Black Female 50639
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#;-) 178 Priv-house-serv Own-child <NA> Female 19302
#;-) 179 Machine-op-inspct Other-relative Black Female 62359
#;-) 180 Transport-moving Own-child Asian-Pac-Islander Male 81323
#;-) 181 Armed-Forces Unmarried Black Male 50976
#;-) 182 Exec-managerial Own-child Other Male 53540
#;-) 183 Adm-clerical Own-child White Male 57255
#;-) 184 Armed-Forces Other-relative Asian-Pac-Islander Female 40213
#;-) 185 Transport-moving Not-in-family White Female 76858
#;-) 186 Farming-fishing Other-relative Amer-Indian-Eskimo Female 2557
#;-) 187 Sales Own-child Other Male 57350
#;-) 188 Priv-house-serv Wife White Female 45446
#;-) 189 Adm-clerical Other-relative Asian-Pac-Islander Female 550
#;-) 190 Farming-fishing <NA> Black Male 17762
#;-) 191 Adm-clerical Not-in-family White Female 54230
#;-) 192 <NA> Not-in-family Amer-Indian-Eskimo Male 50639
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#;-) 194 <NA> Unmarried Other Male 11417
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#;-) 198 Tech-support Wife Asian-Pac-Islander Female 93473
#;-) 199 Protective-serv Not-in-family Asian-Pac-Islander Male 62705
#;-) 200 <NA> Not-in-family Asian-Pac-Islander Male 37248
#;-) 201 Other-service Husband Asian-Pac-Islander Male 38536
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#;-) 207 Sales Wife Black Male 96845
#;-) 208 <NA> Wife Black Female 59613
#;-) 209 Farming-fishing Not-in-family Amer-Indian-Eskimo Female 96046
#;-) 210 Protective-serv Unmarried White Male 66088
#;-) 211 Craft-repair Other-relative Amer-Indian-Eskimo Female 17484
#;-) 212 Machine-op-inspct Own-child White Female 50048
#;-) 213 Sales Not-in-family White Male 2941
#;-) 214 <NA> Other-relative Amer-Indian-Eskimo Female 50639
#;-) 215 Priv-house-serv Wife White Male 62164
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#;-) 217 Exec-managerial Husband Amer-Indian-Eskimo <NA> 53438
#;-) 218 Sales Wife Black Male 71183
#;-) 219 Exec-managerial Not-in-family Other Female 99134
#;-) 220 Handlers-cleaners Not-in-family Asian-Pac-Islander Female 79242
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#;-) 222 Handlers-cleaners Other-relative Amer-Indian-Eskimo Female 61870
#;-) 223 Protective-serv Husband White Female 581
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#;-) 225 Farming-fishing Other-relative Other Male 51994
#;-) 226 Farming-fishing Husband Asian-Pac-Islander Female 15873
#;-) 227 Craft-repair Own-child White Male 16006
#;-) 228 Armed-Forces Wife White Male 95603
#;-) 229 Craft-repair Not-in-family Asian-Pac-Islander Male 47646
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#;-) 232 Farming-fishing Other-relative White Female 21066
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#;-) 235 Craft-repair Husband Black Male 79715
#;-) 236 Protective-serv Unmarried Black Female 91370
#;-) 237 Priv-house-serv Own-child Other Female 44415
#;-) 238 Exec-managerial Unmarried Black Female 81817
#;-) 239 Tech-support Husband Black Female 24576
#;-) 240 <NA> Other-relative Black Male 82264
#;-) 241 Armed-Forces Other-relative Black Female 28535
#;-) 242 Prof-specialty Unmarried Black Female 31172
#;-) 243 Farming-fishing Own-child Amer-Indian-Eskimo Male 32040
#;-) 244 Armed-Forces Unmarried <NA> Female 7330
#;-) 245 Machine-op-inspct <NA> White Male 54385
#;-) 246 Priv-house-serv Wife Black Male 31242
#;-) 247 Transport-moving Not-in-family Other Male 15756
#;-) 248 Handlers-cleaners <NA> Asian-Pac-Islander Male 42330
#;-) 249 Craft-repair Other-relative Amer-Indian-Eskimo Female 28005
#;-) 250 Exec-managerial Not-in-family Asian-Pac-Islander Male 28819
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#;-) 253 Priv-house-serv Unmarried White Female 84552
#;-) 254 Craft-repair Husband Other Male 54396
#;-) 255 Other-service Not-in-family Asian-Pac-Islander Male 25599
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#;-) 257 Armed-Forces Unmarried Other Male 88917
#;-) 258 Craft-repair Unmarried White Male 25644
#;-) 259 Farming-fishing Own-child Asian-Pac-Islander Female 79776
#;-) 260 <NA> Wife Other Female 28324
#;-) 261 Adm-clerical Wife Other Female 16821
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#;-) 263 Transport-moving Other-relative Other Female 62899
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#;-) 269 Priv-house-serv Wife Black Male 72695
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#;-) 273 Machine-op-inspct Wife Amer-Indian-Eskimo Female 83009
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#;-) 278 Machine-op-inspct Own-child Asian-Pac-Islander Female 50639
#;-) 279 Farming-fishing Not-in-family Amer-Indian-Eskimo Female 6375
#;-) 280 Handlers-cleaners Own-child Amer-Indian-Eskimo Female 13338
#;-) 281 Handlers-cleaners Other-relative Other Female 83913
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#;-) 284 Craft-repair Husband Black Male 90247
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#;-) 287 Prof-specialty Wife Other Male 1256
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#;-) 293 Protective-serv Unmarried White Female 872
#;-) 294 Sales Wife <NA> Male 66111
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#;-) 299 Sales Not-in-family Other Male 41871
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#;-) 301 Transport-moving Wife White Male 38963
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#;-) 312 Exec-managerial Other-relative <NA> Female 65736
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#;-) 315 Machine-op-inspct <NA> Asian-Pac-Islander Male 40525
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#;-) 380 Machine-op-inspct Wife <NA> Female 17817
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#;-) 389 Adm-clerical Unmarried White Female 14044
#;-) 390 Prof-specialty Other-relative Amer-Indian-Eskimo Female 91023
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#;-) 516 Transport-moving Unmarried Asian-Pac-Islander Female 71780
#;-) 517 Handlers-cleaners <NA> Black Female 33467
#;-) 518 Other-service Other-relative Asian-Pac-Islander Male 34295
#;-) 519 Sales Unmarried Black Male 44316
#;-) 520 Protective-serv Not-in-family White Male 35448
#;-) 521 Armed-Forces Other-relative Black Male 12756
#;-) 522 Other-service Unmarried <NA> Female 36367
#;-) 523 Armed-Forces Husband Amer-Indian-Eskimo Female 53024
#;-) 524 Tech-support Husband Amer-Indian-Eskimo Female 92192
#;-) 525 Prof-specialty Own-child Asian-Pac-Islander Female 7234
#;-) 526 Tech-support Unmarried White Male 3233
#;-) 527 Machine-op-inspct Not-in-family White Female 31097
#;-) 528 <NA> Own-child Amer-Indian-Eskimo Male 83657
#;-) 529 Other-service Other-relative Other Female 38616
#;-) 530 Tech-support Wife Asian-Pac-Islander Male 15939
#;-) 531 Tech-support Wife Other Female 30616
#;-) 532 Craft-repair Wife Asian-Pac-Islander Male 66894
#;-) 533 Adm-clerical Unmarried Other Female 10648
#;-) 534 Armed-Forces Unmarried Amer-Indian-Eskimo Male 71640
#;-) 535 Protective-serv Not-in-family Black Female 72612
#;-) 536 Adm-clerical Other-relative Other Male 61586
#;-) 537 Tech-support <NA> Asian-Pac-Islander Male 88827
#;-) 538 Armed-Forces Not-in-family Amer-Indian-Eskimo Female 50639
#;-) 539 Adm-clerical Own-child Other Female 67041
#;-) 540 Adm-clerical Unmarried Amer-Indian-Eskimo Female 65616
#;-) 541 Machine-op-inspct Unmarried <NA> Male 38660
#;-) 542 Machine-op-inspct Wife Asian-Pac-Islander Female 99257
#;-) 543 Other-service Not-in-family Amer-Indian-Eskimo Male 79609
#;-) 544 Priv-house-serv Own-child Other Female 99411
#;-) 545 Craft-repair Other-relative Black Male 90512
#;-) 546 Craft-repair Wife Amer-Indian-Eskimo Male 60624
#;-) 547 Craft-repair Not-in-family Black Female 55796
#;-) 548 Prof-specialty Not-in-family Other Male 47488
#;-) 549 Adm-clerical Wife Black <NA> 10374
#;-) 550 Priv-house-serv Wife Other Female 91877
#;-) 551 Transport-moving Unmarried Asian-Pac-Islander Female 31607
#;-) 552 Tech-support Not-in-family Other Male 5104
#;-) 553 Machine-op-inspct Wife Other Female 5741
#;-) 554 Farming-fishing Wife Amer-Indian-Eskimo Male 96735
#;-) 555 Craft-repair Husband Asian-Pac-Islander Male 70166
#;-) 556 Other-service Wife White Female 56881
#;-) 557 Tech-support Other-relative White Female 93928
#;-) 558 Handlers-cleaners Husband White Female 232
#;-) 559 <NA> Unmarried Black Male 92127
#;-) 560 Farming-fishing Husband Amer-Indian-Eskimo Male 14436
#;-) 561 Protective-serv Husband Amer-Indian-Eskimo Female 72272
#;-) 562 Exec-managerial Own-child White Male 33108
#;-) 563 Handlers-cleaners Unmarried White Female 58294
#;-) 564 Adm-clerical Other-relative <NA> Male 20696
#;-) 565 Exec-managerial Unmarried Other Female 56791
#;-) 566 Craft-repair Wife Asian-Pac-Islander Male 60255
#;-) 567 Adm-clerical Husband Amer-Indian-Eskimo Female 6757
#;-) 568 Machine-op-inspct Husband White Male 50639
#;-) 569 Farming-fishing Own-child Other Female 29950
#;-) 570 Transport-moving Husband White Male 39129
#;-) 571 Armed-Forces Wife Black Female 50639
#;-) 572 Farming-fishing Not-in-family Amer-Indian-Eskimo Male 54826
#;-) 573 <NA> Other-relative Other Female 86162
#;-) 574 Farming-fishing Unmarried White Male 50639
#;-) 575 Transport-moving Wife Amer-Indian-Eskimo Female 42057
#;-) 576 Sales Unmarried White Female 45947
#;-) 577 Priv-house-serv Wife Other Male 58166
#;-) 578 Handlers-cleaners Wife Other Male 38357
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#;-) 580 Priv-house-serv Wife Other <NA> 22847
#;-) 581 Prof-specialty Not-in-family Other Male 75097
#;-) 582 Sales Not-in-family Asian-Pac-Islander Female 98660
#;-) 583 Sales Husband Black Female 32368
#;-) 584 Tech-support Husband Black Male 98314
#;-) 585 Prof-specialty Own-child White Male 88259
#;-) 586 Exec-managerial Own-child Amer-Indian-Eskimo Male 18170
#;-) 587 Tech-support Not-in-family Other Female 29029
#;-) 588 Machine-op-inspct Other-relative Asian-Pac-Islander Female 14210
#;-) 589 Machine-op-inspct Unmarried Asian-Pac-Islander Male 2136
#;-) 590 Exec-managerial Unmarried Amer-Indian-Eskimo Female 94139
#;-) 591 Tech-support Not-in-family Asian-Pac-Islander Male 53680
#;-) 592 Protective-serv Wife White Female 94306
#;-) 593 Sales Wife Asian-Pac-Islander Male 3747
#;-) 594 Handlers-cleaners Husband Amer-Indian-Eskimo Male 18353
#;-) 595 Sales Other-relative <NA> Male 97283
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#;-) 600 Farming-fishing Own-child Black Female 50639
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#;-) 603 Other-service Wife Black Female 61317
#;-) 604 Craft-repair Own-child <NA> Female 50975
#;-) 605 Handlers-cleaners Unmarried Asian-Pac-Islander Female 49788
#;-) 606 Adm-clerical Own-child Black Female 11127
#;-) 607 Tech-support Husband Asian-Pac-Islander Male 50639
#;-) 608 Tech-support Unmarried Amer-Indian-Eskimo Female 29007
#;-) 609 Priv-house-serv Unmarried White Male 32341
#;-) 610 Other-service Own-child White Male 23284
#;-) 611 <NA> Other-relative White Female 61253
#;-) 612 Adm-clerical Husband Other Male 91447
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#;-) 614 Transport-moving Not-in-family White Male 76304
#;-) 615 Handlers-cleaners Other-relative Asian-Pac-Islander Female 25712
#;-) 616 Sales Unmarried Black Male 89451
#;-) 617 Exec-managerial Husband White Female 33625
#;-) 618 Sales Husband Amer-Indian-Eskimo Male 41270
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#;-) 620 Protective-serv Unmarried Other Male 55867
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#;-) 622 Prof-specialty Own-child Asian-Pac-Islander Female 97939
#;-) 623 Sales Husband Black Male 83630
#;-) 624 Transport-moving Husband Asian-Pac-Islander <NA> 62877
#;-) 625 Farming-fishing <NA> Black Male 71415
#;-) 626 Adm-clerical Husband Black Male 30881
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#;-) 630 Other-service Unmarried Other Male 33287
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#;-) 632 Armed-Forces Wife White Male 27637
#;-) 633 Armed-Forces <NA> Asian-Pac-Islander Female 61666
#;-) 634 Transport-moving Other-relative Other Male 14827
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#;-) 636 Adm-clerical <NA> Black Male 82489
#;-) 637 Sales Unmarried Black Male 75734
#;-) 638 Exec-managerial Husband Other Female 63494
#;-) 639 <NA> Husband Black Female 83648
#;-) 640 Transport-moving Husband Asian-Pac-Islander <NA> 23541
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#;-) 644 Exec-managerial Not-in-family Black Female 65424
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#;-) 647 Exec-managerial Unmarried Other Male 53290
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#;-) 649 Farming-fishing Unmarried Other Male 85853
#;-) 650 Other-service Other-relative White Female 68143
#;-) 651 Craft-repair Wife Other Female 12023
#;-) 652 Farming-fishing Husband White Female 9715
#;-) 653 Adm-clerical Other-relative Other Female 81235
#;-) 654 Handlers-cleaners Unmarried Other Male 47691
#;-) 655 Handlers-cleaners Not-in-family White Female 79520
#;-) 656 Machine-op-inspct Not-in-family Other Female 8162
#;-) 657 Transport-moving <NA> Black Female 50639
#;-) 658 Farming-fishing Other-relative Other Female 32625
#;-) 659 Farming-fishing Not-in-family Asian-Pac-Islander Male 92103
#;-) 660 Sales Husband White Male 12320
#;-) 661 Exec-managerial Not-in-family Asian-Pac-Islander Female 28240
#;-) 662 Handlers-cleaners Not-in-family Black Female 74645
#;-) 663 Tech-support Unmarried Amer-Indian-Eskimo Female 32140
#;-) 664 Transport-moving Wife Amer-Indian-Eskimo Female 29307
#;-) 665 Exec-managerial Other-relative Black Male 91954
#;-) 666 Transport-moving Own-child White <NA> 56839
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#;-) 670 Exec-managerial Own-child Other Female 95583
#;-) 671 Adm-clerical Unmarried Other Male 34472
#;-) 672 Tech-support Other-relative White Male 56632
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#;-) 677 Other-service <NA> Black Female 28981
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#;-) 688 Transport-moving Other-relative Asian-Pac-Islander Female 72727
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#;-) 691 Adm-clerical <NA> Other Female 27439
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#;-) 694 Exec-managerial Unmarried White Female 58114
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#;-) 696 Adm-clerical Own-child Other Female 42723
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#;-) 700 Prof-specialty Not-in-family Black Male 77590
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#;-) 716 Sales Not-in-family Black Female 22871
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#;-) 718 Craft-repair Unmarried White Female 47973
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#;-) 720 Armed-Forces <NA> Other Female 83875
#;-) 721 Armed-Forces Unmarried White Female 73123
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#;-) 725 Craft-repair Husband Asian-Pac-Islander Male 89357
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#;-) 820 Transport-moving Not-in-family Other Male 60081
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#;-) 934 Tech-support Other-relative White Female 36268
#;-) 935 Transport-moving Not-in-family White Female 5508
#;-) 936 Exec-managerial Wife Black Male 3020
#;-) 937 Craft-repair Other-relative Other Male 93439
#;-) 938 Armed-Forces <NA> White Female 27438
#;-) 939 Tech-support Unmarried Other Male 80856
#;-) 940 Sales Not-in-family Asian-Pac-Islander Female 12196
#;-) 941 Armed-Forces Other-relative Asian-Pac-Islander Female 31391
#;-) 942 Tech-support Other-relative White Male 23775
#;-) 943 Sales <NA> Asian-Pac-Islander Female 91926
#;-) 944 Armed-Forces Other-relative Other Female 64562
#;-) 945 Protective-serv Wife White Male 16932
#;-) 946 Craft-repair Husband Asian-Pac-Islander Female 50639
#;-) 947 Adm-clerical Other-relative Amer-Indian-Eskimo Male 50639
#;-) 948 Machine-op-inspct Husband White Female 50639
#;-) 949 <NA> Other-relative Amer-Indian-Eskimo Female 86561
#;-) 950 Exec-managerial Unmarried Black Female 51941
#;-) 951 Machine-op-inspct Husband Other Female 26542
#;-) 952 Machine-op-inspct Wife Asian-Pac-Islander Male 5268
#;-) 953 Adm-clerical Not-in-family Other Female 67434
#;-) 954 Sales Wife Black Male 10236
#;-) 955 <NA> Other-relative Black Female 32961
#;-) 956 Machine-op-inspct Not-in-family White Male 50639
#;-) 957 <NA> Wife White Male 14127
#;-) 958 Transport-moving Unmarried Black Female 50639
#;-) 959 Adm-clerical Husband Amer-Indian-Eskimo Male 18019
#;-) 960 Prof-specialty Husband Other Male 28237
#;-) 961 Handlers-cleaners Husband Black Male 11999
#;-) 962 Handlers-cleaners Other-relative Asian-Pac-Islander Male 42342
#;-) 963 Prof-specialty Not-in-family Amer-Indian-Eskimo Male 21507
#;-) 964 Transport-moving Own-child <NA> Male 67138
#;-) 965 Protective-serv Own-child Amer-Indian-Eskimo Female 13511
#;-) 966 Armed-Forces Not-in-family Black Female 80618
#;-) 967 Other-service Not-in-family Other Male 72117
#;-) 968 Handlers-cleaners Unmarried White Female 21162
#;-) 969 Handlers-cleaners Not-in-family Other Female 79463
#;-) 970 Other-service Unmarried White Male 97097
#;-) 971 Protective-serv Unmarried White Male 93341
#;-) 972 Adm-clerical Unmarried Asian-Pac-Islander Male 17210
#;-) 973 Protective-serv Husband <NA> <NA> 80576
#;-) 974 Machine-op-inspct Not-in-family Asian-Pac-Islander Female 47563
#;-) 975 Farming-fishing Own-child Amer-Indian-Eskimo <NA> 63264
#;-) 976 Armed-Forces Not-in-family Other Male 98540
#;-) 977 Other-service Own-child White Female 17621
#;-) 978 Other-service Own-child Black <NA> 73054
#;-) 979 Armed-Forces Not-in-family Amer-Indian-Eskimo Male 24999
#;-) 980 Other-service Not-in-family <NA> Female 18123
#;-) 981 Adm-clerical Not-in-family White Female 85388
#;-) 982 <NA> Wife Black Male 42294
#;-) 983 Sales Unmarried Asian-Pac-Islander Female 86990
#;-) 984 Craft-repair Wife Other Female 20
#;-) 985 Tech-support Wife Other Female 92879
#;-) 986 Craft-repair Wife <NA> <NA> 96457
#;-) 987 Machine-op-inspct Husband Amer-Indian-Eskimo Female 37988
#;-) 988 Farming-fishing Own-child Amer-Indian-Eskimo Male 86915
#;-) 989 Handlers-cleaners Unmarried White Female 54365
#;-) 990 <NA> Own-child Black Female 89609
#;-) 991 Armed-Forces Other-relative Amer-Indian-Eskimo Male 86717
#;-) 992 Craft-repair Wife White Female 57902
#;-) 993 Prof-specialty Husband Other Female 87663
#;-) 994 Machine-op-inspct <NA> Amer-Indian-Eskimo Male 95001
#;-) 995 Prof-specialty Other-relative Other Male 15650
#;-) 996 Sales Not-in-family Black Male 92812
#;-) 997 Prof-specialty Wife Other Female 68672
#;-) 998 Farming-fishing Not-in-family White Female 50664
#;-) 999 Other-service Wife Amer-Indian-Eskimo Male 85324
#;-) 1000 Farming-fishing Not-in-family White <NA> 58120
#;-) capital_loss hours_per_week native_country income
#;-) 1 77249.0 60 Poland >50K
#;-) 2 60981.0 73 <NA> <=50K
#;-) 3 15093.0 98 Hungary <=50K
#;-) 4 40203.0 48 South <=50K
#;-) 5 2056.0 4 Haiti <=50K
#;-) 6 17031.0 70 Scotland <=50K
#;-) 7 51961.0 15 Cambodia <=50K
#;-) 8 46300.0 96 Philippines <=50K
#;-) 9 70637.0 40 Honduras >50K
#;-) 10 52751.0 11 Thailand <=50K
#;-) 11 75593.0 35 Holand-Netherlands <=50K
#;-) 12 7469.0 81 United-States <=50K
#;-) 13 31943.0 70 El-Salvador <=50K
#;-) 14 46008.0 96 <NA> <=50K
#;-) 15 89927.0 88 Italy >50K
#;-) 16 28997.0 4 Honduras >50K
#;-) 17 50089.0 20 Nicaragua <=50K
#;-) 18 61307.0 48 Jamaica <=50K
#;-) 19 95362.0 2 Haiti <=50K
#;-) 20 49528.0 3 <NA> >50K
#;-) 21 31387.0 70 Mexico >50K
#;-) 22 10451.0 48 Jamaica <=50K
#;-) 23 54995.0 50 Greece <=50K
#;-) 24 55714.0 90 Hong <=50K
#;-) 25 85711.0 16 China <=50K
#;-) 26 7525.0 61 Hong <=50K
#;-) 27 99095.0 71 China <=50K
#;-) 28 56886.0 3 Mexico <=50K
#;-) 29 84470.0 6 Taiwan <=50K
#;-) 30 95169.0 99 Yugoslavia <=50K
#;-) 31 88046.0 91 Puerto-Rico <=50K
#;-) 32 10235.0 87 India >50K
#;-) 33 14809.0 12 India <=50K
#;-) 34 20845.0 41 Japan <=50K
#;-) 35 30056.0 8 Greece >50K
#;-) 36 99847.0 33 Vietnam >50K
#;-) 37 88387.0 48 <NA> <=50K
#;-) 38 44813.0 6 El-Salvador <=50K
#;-) 39 16769.0 26 <NA> <=50K
#;-) 40 29258.0 84 Laos >50K
#;-) 41 49182.0 40 Ecuador <=50K
#;-) 42 36206.0 3 Scotland <=50K
#;-) 43 49469.0 49 Honduras >50K
#;-) 44 70920.0 33 Poland >50K
#;-) 45 78853.0 74 India <=50K
#;-) 46 28736.0 7 Ireland >50K
#;-) 47 3780.0 80 Thailand <=50K
#;-) 48 37719.0 82 Philippines <=50K
#;-) 49 53845.0 19 Canada <=50K
#;-) 50 29346.0 21 Japan <=50K
#;-) 51 3307.0 94 Columbia <=50K
#;-) 52 91887.0 9 Poland <=50K
#;-) 53 71878.0 30 <NA> <=50K
#;-) 54 25911.0 63 Guatemala <=50K
#;-) 55 70820.0 3 Poland <=50K
#;-) 56 66882.0 71 Cambodia <=50K
#;-) 57 39483.0 24 Scotland <=50K
#;-) 58 73542.0 68 Nicaragua <=50K
#;-) 59 5175.0 13 Haiti <=50K
#;-) 60 48896.5 65 Japan <=50K
#;-) 61 19377.0 83 Peru <=50K
#;-) 62 58012.0 61 France <=50K
#;-) 63 11087.0 16 Vietnam <=50K
#;-) 64 54782.0 11 Laos <=50K
#;-) 65 70914.0 30 Honduras <=50K
#;-) 66 26286.0 74 Laos <=50K
#;-) 67 10133.0 54 Cambodia >50K
#;-) 68 31972.0 91 Iran <=50K
#;-) 69 19981.0 43 France <=50K
#;-) 70 41510.0 83 Iran <=50K
#;-) 71 10875.0 15 Holand-Netherlands <=50K
#;-) 72 7230.0 59 Germany <=50K
#;-) 73 76751.0 87 Hong <=50K
#;-) 74 62999.0 57 Cuba <=50K
#;-) 75 14611.0 9 Peru <=50K
#;-) 76 29862.0 78 Poland <=50K
#;-) 77 30363.0 38 Germany <=50K
#;-) 78 91186.0 55 Yugoslavia >50K
#;-) 79 29153.0 9 Greece <=50K
#;-) 80 79564.0 41 Nicaragua <=50K
#;-) 81 51081.0 13 Canada <=50K
#;-) 82 31188.0 16 <NA> >50K
#;-) 83 45772.0 95 Cambodia <=50K
#;-) 84 97341.0 84 Guatemala >50K
#;-) 85 44098.0 36 Vietnam <=50K
#;-) 86 31269.0 6 Haiti <=50K
#;-) 87 12602.0 63 Germany <=50K
#;-) 88 95982.0 31 Mexico <=50K
#;-) 89 58208.0 22 Cambodia >50K
#;-) 90 46900.0 94 United-States >50K
#;-) 91 42842.0 51 Ireland <=50K
#;-) 92 29797.0 33 Mexico <=50K
#;-) 93 66925.0 11 Jamaica >50K
#;-) 94 96509.0 40 Yugoslavia <=50K
#;-) 95 69934.0 34 <NA> <=50K
#;-) 96 87986.0 53 Italy >50K
#;-) 97 70825.0 84 Honduras <=50K
#;-) 98 16089.0 93 Philippines <=50K
#;-) 99 20482.0 28 Ireland <=50K
#;-) 100 58434.0 96 Vietnam >50K
#;-) 101 51902.0 27 Poland >50K
#;-) 102 89519.0 81 Peru <=50K
#;-) 103 66958.0 78 Vietnam <=50K
#;-) 104 52344.0 74 Haiti <=50K
#;-) 105 23228.0 3 Trinadad&Tobago <=50K
#;-) 106 81272.0 52 Japan >50K
#;-) 107 84859.0 24 Holand-Netherlands <=50K
#;-) 108 74151.0 7 Ireland <=50K
#;-) 109 5109.0 5 Peru <=50K
#;-) 110 75740.0 82 Philippines <=50K
#;-) 111 9695.0 99 Cambodia <=50K
#;-) 112 89982.0 47 Greece >50K
#;-) 113 44045.0 34 Thailand <=50K
#;-) 114 67216.0 34 Thailand <=50K
#;-) 115 60823.0 30 Canada <=50K
#;-) 116 11423.0 48 Scotland <=50K
#;-) 117 86965.0 44 France <=50K
#;-) 118 25820.0 39 France >50K
#;-) 119 48682.0 98 <NA> <=50K
#;-) 120 72812.0 25 Ireland >50K
#;-) 121 86239.0 34 United-States <=50K
#;-) 122 56561.0 61 Laos <=50K
#;-) 123 77506.0 48 Cuba <=50K
#;-) 124 60361.0 15 Iran <=50K
#;-) 125 94847.0 3 Philippines <=50K
#;-) 126 27767.0 55 Haiti >50K
#;-) 127 49126.0 79 Taiwan <=50K
#;-) 128 53053.0 68 El-Salvador <=50K
#;-) 129 80224.0 48 Haiti <=50K
#;-) 130 11227.0 16 Nicaragua <=50K
#;-) 131 52372.0 72 China >50K
#;-) 132 19523.0 49 Cambodia <=50K
#;-) 133 48896.5 9 Thailand <=50K
#;-) 134 44624.0 83 Dominican-Republic <=50K
#;-) 135 7314.0 87 El-Salvador <=50K
#;-) 136 48896.5 94 Hong <=50K
#;-) 137 25858.0 84 Haiti >50K
#;-) 138 46866.0 89 Thailand <=50K
#;-) 139 44316.0 34 India <=50K
#;-) 140 10881.0 70 Honduras <=50K
#;-) 141 29772.0 39 Haiti <=50K
#;-) 142 97691.0 86 Guatemala <=50K
#;-) 143 21763.0 58 Yugoslavia >50K
#;-) 144 1511.0 97 South <=50K
#;-) 145 85579.0 90 Hong <=50K
#;-) 146 45090.0 70 Peru <=50K
#;-) 147 48896.5 35 Columbia <=50K
#;-) 148 57273.0 48 Taiwan <=50K
#;-) 149 49959.0 48 France <=50K
#;-) 150 27530.0 13 Cambodia <=50K
#;-) 151 89441.0 6 Vietnam <=50K
#;-) 152 18396.0 71 Japan >50K
#;-) 153 54137.0 78 Ireland >50K
#;-) 154 83433.0 1 Japan <=50K
#;-) 155 37622.0 6 Hungary <=50K
#;-) 156 22105.0 18 England >50K
#;-) 157 48896.5 16 Peru <=50K
#;-) 158 25623.0 85 Iran <=50K
#;-) 159 12840.0 86 China <=50K
#;-) 160 33592.0 73 Peru >50K
#;-) 161 24132.0 45 Laos <=50K
#;-) 162 34218.0 73 Hungary <=50K
#;-) 163 75525.0 33 Jamaica <=50K
#;-) 164 30157.0 56 Taiwan <=50K
#;-) 165 99113.0 43 Hungary >50K
#;-) 166 37293.0 81 Cuba <=50K
#;-) 167 77834.0 25 Mexico >50K
#;-) 168 37729.0 92 China >50K
#;-) 169 68931.0 48 Portugal <=50K
#;-) 170 53647.0 48 Japan <=50K
#;-) 171 48896.5 76 Nicaragua >50K
#;-) 172 19121.0 3 Dominican-Republic >50K
#;-) 173 49701.0 82 England <=50K
#;-) 174 64600.0 95 Italy <=50K
#;-) 175 58837.0 3 Laos >50K
#;-) 176 50909.0 66 Portugal >50K
#;-) 177 57999.0 48 France <=50K
#;-) 178 29109.0 9 England <=50K
#;-) 179 63022.0 95 <NA> <=50K
#;-) 180 97633.0 30 Jamaica >50K
#;-) 181 6279.0 96 Puerto-Rico >50K
#;-) 182 5075.0 80 Hong >50K
#;-) 183 99305.0 2 Germany <=50K
#;-) 184 78519.0 70 United-States <=50K
#;-) 185 48958.0 48 El-Salvador <=50K
#;-) 186 48896.5 32 Germany >50K
#;-) 187 53675.0 93 Vietnam <=50K
#;-) 188 85591.0 32 Laos <=50K
#;-) 189 65913.0 11 Dominican-Republic >50K
#;-) 190 23770.0 41 United-States <=50K
#;-) 191 39157.0 39 Outlying-US(Guam-USVI-etc) <=50K
#;-) 192 77117.0 79 <NA> <=50K
#;-) 193 81921.0 20 Honduras <=50K
#;-) 194 11845.0 57 <NA> >50K
#;-) 195 99944.0 73 Cuba <=50K
#;-) 196 42733.0 59 Holand-Netherlands >50K
#;-) 197 62865.0 66 Scotland <=50K
#;-) 198 71777.0 36 <NA> <=50K
#;-) 199 43786.0 82 Dominican-Republic <=50K
#;-) 200 83333.0 36 Greece >50K
#;-) 201 60348.0 62 Ireland <=50K
#;-) 202 49665.0 88 <NA> >50K
#;-) 203 72625.0 48 Ecuador >50K
#;-) 204 12674.0 45 Guatemala <=50K
#;-) 205 76010.0 19 India <=50K
#;-) 206 29031.0 29 Cuba <=50K
#;-) 207 16513.0 67 Iran <=50K
#;-) 208 22050.0 92 Yugoslavia >50K
#;-) 209 92888.0 63 Iran <=50K
#;-) 210 71348.0 95 Cuba <=50K
#;-) 211 6529.0 70 South <=50K
#;-) 212 11568.0 24 Poland <=50K
#;-) 213 44283.0 62 Ireland <=50K
#;-) 214 37285.0 39 Trinadad&Tobago <=50K
#;-) 215 78049.0 63 Outlying-US(Guam-USVI-etc) <=50K
#;-) 216 84568.0 73 Hungary >50K
#;-) 217 48896.5 5 Ireland >50K
#;-) 218 94075.0 71 Taiwan <=50K
#;-) 219 53966.0 78 India <=50K
#;-) 220 42486.0 55 France <=50K
#;-) 221 92184.0 40 El-Salvador <=50K
#;-) 222 37720.0 48 Ireland <=50K
#;-) 223 71528.0 69 Haiti <=50K
#;-) 224 64602.0 86 Hong <=50K
#;-) 225 26971.0 35 Germany <=50K
#;-) 226 18896.0 13 Peru <=50K
#;-) 227 60420.0 45 Canada <=50K
#;-) 228 49449.0 48 Portugal <=50K
#;-) 229 78382.0 22 Yugoslavia <=50K
#;-) 230 48896.5 96 Poland >50K
#;-) 231 63505.0 70 United-States >50K
#;-) 232 62203.0 52 Greece <=50K
#;-) 233 48896.5 19 <NA> <=50K
#;-) 234 78649.0 14 Trinadad&Tobago <=50K
#;-) 235 79152.0 48 Hungary <=50K
#;-) 236 6468.0 49 United-States <=50K
#;-) 237 2374.0 21 United-States <=50K
#;-) 238 23136.0 67 Hong <=50K
#;-) 239 20664.0 47 Jamaica >50K
#;-) 240 60410.0 82 Ecuador >50K
#;-) 241 3404.0 61 India >50K
#;-) 242 36906.0 68 Scotland <=50K
#;-) 243 21911.0 48 El-Salvador >50K
#;-) 244 48791.0 71 Honduras <=50K
#;-) 245 51132.0 48 Haiti <=50K
#;-) 246 13140.0 16 Trinadad&Tobago <=50K
#;-) 247 93881.0 11 Dominican-Republic <=50K
#;-) 248 27165.0 56 Ireland <=50K
#;-) 249 48896.5 2 <NA> <=50K
#;-) 250 23440.0 91 <NA> <=50K
#;-) 251 82440.0 60 Germany <=50K
#;-) 252 75657.0 91 <NA> <=50K
#;-) 253 99824.0 1 Ireland <=50K
#;-) 254 82558.0 61 Cuba >50K
#;-) 255 61944.0 28 Hong >50K
#;-) 256 73585.0 42 Ecuador >50K
#;-) 257 93383.0 20 England <=50K
#;-) 258 15304.0 17 Holand-Netherlands <=50K
#;-) 259 48896.5 39 Hungary <=50K
#;-) 260 56868.0 91 South <=50K
#;-) 261 65989.0 74 China <=50K
#;-) 262 18407.0 74 Columbia <=50K
#;-) 263 1867.0 94 Canada <=50K
#;-) 264 36397.0 79 Haiti <=50K
#;-) 265 98739.0 45 Holand-Netherlands >50K
#;-) 266 69451.0 22 Guatemala <=50K
#;-) 267 3704.0 41 Columbia <=50K
#;-) 268 48896.5 56 Peru <=50K
#;-) 269 42030.0 69 Columbia <=50K
#;-) 270 15252.0 94 Columbia >50K
#;-) 271 5016.0 10 <NA> <=50K
#;-) 272 49522.0 6 United-States <=50K
#;-) 273 77497.0 81 Outlying-US(Guam-USVI-etc) <=50K
#;-) 274 90604.0 18 <NA> <=50K
#;-) 275 12350.0 15 Ecuador >50K
#;-) 276 6076.0 39 Laos <=50K
#;-) 277 19698.0 23 Japan <=50K
#;-) 278 63141.0 51 Hungary <=50K
#;-) 279 21006.0 53 Trinadad&Tobago <=50K
#;-) 280 45847.0 16 England <=50K
#;-) 281 73371.0 92 Philippines <=50K
#;-) 282 15107.0 41 Scotland >50K
#;-) 283 63504.0 4 Japan <=50K
#;-) 284 97685.0 68 El-Salvador >50K
#;-) 285 48896.5 11 Ecuador <=50K
#;-) 286 54041.0 91 Cuba <=50K
#;-) 287 90503.0 61 Taiwan >50K
#;-) 288 28190.0 29 Taiwan <=50K
#;-) 289 84905.0 13 Portugal <=50K
#;-) 290 96406.0 12 Hungary <=50K
#;-) 291 37750.0 78 Columbia <=50K
#;-) 292 2721.0 72 Outlying-US(Guam-USVI-etc) <=50K
#;-) 293 79389.0 21 Columbia <=50K
#;-) 294 95123.0 38 Greece <=50K
#;-) 295 35489.0 29 Outlying-US(Guam-USVI-etc) <=50K
#;-) 296 25067.0 9 Cuba <=50K
#;-) 297 98355.0 80 Mexico <=50K
#;-) 298 96231.0 47 Italy <=50K
#;-) 299 48896.5 76 Holand-Netherlands <=50K
#;-) 300 57468.0 81 Portugal <=50K
#;-) 301 13400.0 71 England <=50K
#;-) 302 34694.0 18 Outlying-US(Guam-USVI-etc) <=50K
#;-) 303 20377.0 65 Mexico >50K
#;-) 304 53380.0 99 Scotland <=50K
#;-) 305 65296.0 34 Iran >50K
#;-) 306 16731.0 54 England >50K
#;-) 307 9945.0 7 Haiti <=50K
#;-) 308 48896.5 66 Outlying-US(Guam-USVI-etc) <=50K
#;-) 309 56743.0 37 Cambodia <=50K
#;-) 310 96130.0 23 South <=50K
#;-) 311 41808.0 23 Cambodia >50K
#;-) 312 15524.0 33 Laos <=50K
#;-) 313 94912.0 99 Greece <=50K
#;-) 314 76128.0 67 Greece <=50K
#;-) 315 11798.0 8 Cambodia <=50K
#;-) 316 90095.0 46 Italy <=50K
#;-) 317 87366.0 39 Columbia <=50K
#;-) 318 36809.0 37 Dominican-Republic <=50K
#;-) 319 88047.0 38 Outlying-US(Guam-USVI-etc) >50K
#;-) 320 6398.0 43 Thailand <=50K
#;-) 321 39996.0 48 Dominican-Republic >50K
#;-) 322 50937.0 31 Jamaica <=50K
#;-) 323 4793.0 20 Jamaica <=50K
#;-) 324 60485.0 50 China >50K
#;-) 325 75556.0 87 Columbia >50K
#;-) 326 27912.0 62 Trinadad&Tobago <=50K
#;-) 327 72937.0 1 South >50K
#;-) 328 61394.0 74 Peru <=50K
#;-) 329 48896.5 89 Hungary <=50K
#;-) 330 82297.0 96 Hungary >50K
#;-) 331 44096.0 44 Hong <=50K
#;-) 332 48896.5 30 Japan <=50K
#;-) 333 37216.0 1 France >50K
#;-) 334 56857.0 22 Ecuador <=50K
#;-) 335 38035.0 78 Jamaica <=50K
#;-) 336 30710.0 56 China <=50K
#;-) 337 81113.0 91 Poland <=50K
#;-) 338 63544.0 79 Trinadad&Tobago <=50K
#;-) 339 13950.0 59 Scotland >50K
#;-) 340 1932.0 48 Outlying-US(Guam-USVI-etc) >50K
#;-) 341 63865.0 37 Germany <=50K
#;-) 342 5228.0 88 Canada >50K
#;-) 343 13678.0 18 Columbia <=50K
#;-) 344 75472.0 65 Iran <=50K
#;-) 345 36194.0 36 <NA> <=50K
#;-) 346 25659.0 84 Honduras <=50K
#;-) 347 59991.0 96 Puerto-Rico <=50K
#;-) 348 53639.0 22 Jamaica <=50K
#;-) 349 97749.0 76 Poland <=50K
#;-) 350 14899.0 11 Philippines <=50K
#;-) 351 16904.0 40 Dominican-Republic >50K
#;-) 352 98942.0 47 Yugoslavia <=50K
#;-) 353 93481.0 37 Vietnam <=50K
#;-) 354 79893.0 4 <NA> <=50K
#;-) 355 42255.0 79 Puerto-Rico <=50K
#;-) 356 17432.0 1 Outlying-US(Guam-USVI-etc) <=50K
#;-) 357 57124.0 7 El-Salvador <=50K
#;-) 358 89304.0 43 Thailand <=50K
#;-) 359 89068.0 66 Greece <=50K
#;-) 360 31098.0 75 Mexico <=50K
#;-) 361 59859.0 7 Taiwan <=50K
#;-) 362 47803.0 54 <NA> <=50K
#;-) 363 55531.0 1 Ireland <=50K
#;-) 364 74653.0 18 Poland <=50K
#;-) 365 57295.0 81 Nicaragua >50K
#;-) 366 48896.5 7 <NA> <=50K
#;-) 367 4878.0 63 <NA> <=50K
#;-) 368 83768.0 60 Greece <=50K
#;-) 369 88952.0 4 India <=50K
#;-) 370 61321.0 15 United-States <=50K
#;-) 371 67036.0 75 Ecuador >50K
#;-) 372 89412.0 35 Mexico <=50K
#;-) 373 48896.5 36 Yugoslavia <=50K
#;-) 374 98779.0 43 Germany <=50K
#;-) 375 48896.5 48 Germany <=50K
#;-) 376 63158.0 23 El-Salvador <=50K
#;-) 377 74691.0 49 Iran <=50K
#;-) 378 48896.5 13 Jamaica <=50K
#;-) 379 83881.0 14 Trinadad&Tobago >50K
#;-) 380 6932.0 74 Japan >50K
#;-) 381 41735.0 89 Hong <=50K
#;-) 382 51924.0 32 Dominican-Republic >50K
#;-) 383 85373.0 81 Greece <=50K
#;-) 384 65768.0 6 Haiti <=50K
#;-) 385 74470.0 48 India <=50K
#;-) 386 6858.0 22 Vietnam >50K
#;-) 387 82706.0 10 Laos >50K
#;-) 388 22801.0 96 Puerto-Rico <=50K
#;-) 389 55049.0 17 Portugal <=50K
#;-) 390 5070.0 14 Greece <=50K
#;-) 391 83269.0 76 Cambodia <=50K
#;-) 392 15073.0 91 Vietnam <=50K
#;-) 393 48896.5 45 Greece <=50K
#;-) 394 69986.0 31 Dominican-Republic <=50K
#;-) 395 4003.0 1 Ecuador <=50K
#;-) 396 33660.0 81 Canada <=50K
#;-) 397 18357.0 20 Thailand >50K
#;-) 398 15423.0 36 Trinadad&Tobago <=50K
#;-) 399 65855.0 45 Columbia <=50K
#;-) 400 48896.5 71 Canada <=50K
#;-) 401 94604.0 36 Mexico >50K
#;-) 402 20775.0 13 Holand-Netherlands <=50K
#;-) 403 55281.0 21 Yugoslavia <=50K
#;-) 404 2375.0 18 Ireland <=50K
#;-) 405 55006.0 94 Italy >50K
#;-) 406 59342.0 68 England <=50K
#;-) 407 96846.0 76 Vietnam <=50K
#;-) 408 74645.0 31 South <=50K
#;-) 409 94604.0 95 Outlying-US(Guam-USVI-etc) <=50K
#;-) 410 96570.0 38 Portugal <=50K
#;-) 411 14105.0 47 Mexico >50K
#;-) 412 241.0 48 Taiwan <=50K
#;-) 413 38698.0 61 France >50K
#;-) 414 31840.0 43 Ireland <=50K
#;-) 415 6298.0 98 India <=50K
#;-) 416 36361.0 73 Dominican-Republic >50K
#;-) 417 7091.0 8 Germany <=50K
#;-) 418 13221.0 64 Germany >50K
#;-) 419 60236.0 12 Hungary <=50K
#;-) 420 72.0 72 Mexico <=50K
#;-) 421 86762.0 47 Nicaragua <=50K
#;-) 422 83028.0 37 Canada <=50K
#;-) 423 20621.0 69 Honduras <=50K
#;-) 424 19444.0 51 Iran <=50K
#;-) 425 5417.0 9 Dominican-Republic >50K
#;-) 426 61939.0 10 Philippines <=50K
#;-) 427 6704.0 32 Haiti <=50K
#;-) 428 90236.0 46 Cambodia >50K
#;-) 429 48835.0 45 Greece <=50K
#;-) 430 18781.0 3 Mexico >50K
#;-) 431 99476.0 62 Hong >50K
#;-) 432 14170.0 97 Hungary <=50K
#;-) 433 18117.0 44 Iran <=50K
#;-) 434 25630.0 81 Hungary <=50K
#;-) 435 31466.0 82 Portugal <=50K
#;-) 436 86186.0 51 China >50K
#;-) 437 32435.0 61 Italy <=50K
#;-) 438 39316.0 24 Cuba >50K
#;-) 439 71425.0 73 Mexico <=50K
#;-) 440 92575.0 2 Peru <=50K
#;-) 441 63189.0 92 Portugal <=50K
#;-) 442 84210.0 44 Greece <=50K
#;-) 443 34126.0 3 Germany >50K
#;-) 444 55070.0 23 Portugal <=50K
#;-) 445 72826.0 33 Cuba >50K
#;-) 446 6130.0 92 <NA> <=50K
#;-) 447 57608.0 88 Puerto-Rico <=50K
#;-) 448 48175.0 44 France <=50K
#;-) 449 8821.0 98 Guatemala >50K
#;-) 450 60965.0 93 Ireland >50K
#;-) 451 55264.0 97 Honduras <=50K
#;-) 452 72955.0 5 Hungary <=50K
#;-) 453 1828.0 41 Puerto-Rico <=50K
#;-) 454 13038.0 2 China <=50K
#;-) 455 51020.0 7 United-States <=50K
#;-) 456 4598.0 25 Ecuador <=50K
#;-) 457 48896.5 59 Hong <=50K
#;-) 458 2041.0 8 Cambodia <=50K
#;-) 459 25995.0 88 Jamaica <=50K
#;-) 460 81621.0 2 Canada <=50K
#;-) 461 76212.0 62 South <=50K
#;-) 462 43174.0 55 France <=50K
#;-) 463 6128.0 66 Iran <=50K
#;-) 464 67022.0 59 England <=50K
#;-) 465 6142.0 77 Peru <=50K
#;-) 466 74147.0 56 <NA> <=50K
#;-) 467 37548.0 89 Philippines >50K
#;-) 468 41088.0 50 France <=50K
#;-) 469 48648.0 73 Holand-Netherlands <=50K
#;-) 470 98252.0 26 China <=50K
#;-) 471 90356.0 27 India <=50K
#;-) 472 17472.0 4 Jamaica <=50K
#;-) 473 35447.0 63 England <=50K
#;-) 474 56472.0 64 Ecuador <=50K
#;-) 475 5787.0 74 Japan >50K
#;-) 476 86787.0 25 Laos >50K
#;-) 477 91814.0 29 Italy <=50K
#;-) 478 45438.0 18 Vietnam <=50K
#;-) 479 27180.0 2 United-States <=50K
#;-) 480 8098.0 10 Taiwan >50K
#;-) 481 48896.5 14 United-States >50K
#;-) 482 30205.0 32 Iran <=50K
#;-) 483 23722.0 48 Vietnam <=50K
#;-) 484 10507.0 13 Nicaragua <=50K
#;-) 485 52923.0 25 Italy <=50K
#;-) 486 67807.0 48 Peru <=50K
#;-) 487 24570.0 26 Cuba >50K
#;-) 488 70183.0 55 Portugal <=50K
#;-) 489 56187.0 69 Greece >50K
#;-) 490 20633.0 91 Ecuador >50K
#;-) 491 2264.0 72 Honduras <=50K
#;-) 492 25577.0 92 Puerto-Rico <=50K
#;-) 493 71329.0 35 Hungary <=50K
#;-) 494 53810.0 35 India <=50K
#;-) 495 30297.0 56 Ecuador >50K
#;-) 496 37405.0 58 Jamaica <=50K
#;-) 497 31359.0 58 Scotland <=50K
#;-) 498 49064.0 21 Cuba <=50K
#;-) 499 37503.0 89 Hungary <=50K
#;-) 500 61476.0 94 China <=50K
#;-) 501 22184.0 87 South >50K
#;-) 502 53020.0 48 Cambodia <=50K
#;-) 503 99026.0 67 France <=50K
#;-) 504 36114.0 15 Cuba <=50K
#;-) 505 89272.0 61 Columbia >50K
#;-) 506 66745.0 92 Germany <=50K
#;-) 507 67121.0 51 Thailand <=50K
#;-) 508 29222.0 49 <NA> <=50K
#;-) 509 35174.0 3 Portugal <=50K
#;-) 510 16057.0 19 Hungary <=50K
#;-) 511 47903.0 97 <NA> <=50K
#;-) 512 62695.0 50 France <=50K
#;-) 513 959.0 27 Hungary <=50K
#;-) 514 51838.0 56 Jamaica <=50K
#;-) 515 54269.0 20 Peru <=50K
#;-) 516 57036.0 56 Dominican-Republic >50K
#;-) 517 94464.0 18 India <=50K
#;-) 518 25342.0 97 India <=50K
#;-) 519 55441.0 63 Thailand <=50K
#;-) 520 16339.0 30 Outlying-US(Guam-USVI-etc) >50K
#;-) 521 13852.0 79 Jamaica <=50K
#;-) 522 18254.0 63 Taiwan <=50K
#;-) 523 15869.0 9 Italy <=50K
#;-) 524 31203.0 10 Dominican-Republic <=50K
#;-) 525 64962.0 15 Laos >50K
#;-) 526 10491.0 56 Peru >50K
#;-) 527 59492.0 98 Hong <=50K
#;-) 528 48077.0 13 Nicaragua <=50K
#;-) 529 98707.0 18 South <=50K
#;-) 530 73318.0 52 Portugal <=50K
#;-) 531 48896.5 63 Guatemala <=50K
#;-) 532 14563.0 48 Mexico <=50K
#;-) 533 57009.0 92 Greece >50K
#;-) 534 69475.0 38 Dominican-Republic <=50K
#;-) 535 3840.0 26 Puerto-Rico <=50K
#;-) 536 44222.0 84 England <=50K
#;-) 537 64569.0 64 Yugoslavia >50K
#;-) 538 37919.0 52 India <=50K
#;-) 539 79498.0 69 Japan <=50K
#;-) 540 76573.0 82 France <=50K
#;-) 541 19504.0 60 Laos <=50K
#;-) 542 74829.0 6 Laos <=50K
#;-) 543 30789.0 50 Cuba >50K
#;-) 544 19124.0 65 Cuba <=50K
#;-) 545 31283.0 30 India <=50K
#;-) 546 37313.0 73 Ireland >50K
#;-) 547 3511.0 21 Outlying-US(Guam-USVI-etc) <=50K
#;-) 548 93988.0 38 Cambodia <=50K
#;-) 549 7478.0 48 Dominican-Republic <=50K
#;-) 550 26193.0 18 South <=50K
#;-) 551 48896.5 39 Italy >50K
#;-) 552 77783.0 48 South <=50K
#;-) 553 73028.0 77 Guatemala >50K
#;-) 554 1803.0 27 Dominican-Republic >50K
#;-) 555 8750.0 41 Portugal <=50K
#;-) 556 89958.0 32 Honduras <=50K
#;-) 557 30868.0 36 Hong <=50K
#;-) 558 17343.0 37 Mexico <=50K
#;-) 559 71301.0 32 South <=50K
#;-) 560 30316.0 89 Guatemala <=50K
#;-) 561 6521.0 61 Yugoslavia <=50K
#;-) 562 20268.0 61 Vietnam <=50K
#;-) 563 55609.0 6 Portugal <=50K
#;-) 564 56660.0 84 Ireland <=50K
#;-) 565 53647.0 27 Hong <=50K
#;-) 566 25656.0 16 Mexico <=50K
#;-) 567 2591.0 10 China <=50K
#;-) 568 69413.0 7 Dominican-Republic <=50K
#;-) 569 49375.0 9 Portugal <=50K
#;-) 570 728.0 48 Italy <=50K
#;-) 571 50518.0 62 <NA> <=50K
#;-) 572 33292.0 97 Haiti <=50K
#;-) 573 98025.0 48 China <=50K
#;-) 574 66586.0 92 Poland <=50K
#;-) 575 87871.0 87 Germany >50K
#;-) 576 90701.0 10 Puerto-Rico <=50K
#;-) 577 43048.0 22 United-States <=50K
#;-) 578 39374.0 35 Hungary <=50K
#;-) 579 32392.0 48 Mexico >50K
#;-) 580 99747.0 97 <NA> <=50K
#;-) 581 63984.0 10 South <=50K
#;-) 582 56625.0 43 Taiwan <=50K
#;-) 583 64205.0 57 Hong <=50K
#;-) 584 88015.0 11 Nicaragua <=50K
#;-) 585 87837.0 47 Jamaica <=50K
#;-) 586 24784.0 91 Poland >50K
#;-) 587 63094.0 23 Dominican-Republic <=50K
#;-) 588 24593.0 45 Honduras <=50K
#;-) 589 40701.0 63 Hungary >50K
#;-) 590 89686.0 55 South <=50K
#;-) 591 93350.0 40 Portugal <=50K
#;-) 592 10890.0 25 Ecuador <=50K
#;-) 593 36483.0 14 Portugal <=50K
#;-) 594 87639.0 89 Trinadad&Tobago <=50K
#;-) 595 75677.0 71 Yugoslavia <=50K
#;-) 596 98608.0 54 Laos <=50K
#;-) 597 44882.0 74 Iran <=50K
#;-) 598 28653.0 37 Laos <=50K
#;-) 599 26218.0 63 Peru <=50K
#;-) 600 26666.0 72 United-States <=50K
#;-) 601 54948.0 43 Guatemala <=50K
#;-) 602 50187.0 24 Japan <=50K
#;-) 603 97615.0 80 Laos <=50K
#;-) 604 11915.0 21 <NA> <=50K
#;-) 605 34125.0 60 Scotland <=50K
#;-) 606 6706.0 69 England <=50K
#;-) 607 42221.0 98 Ecuador >50K
#;-) 608 86570.0 48 Thailand >50K
#;-) 609 29703.0 89 Peru >50K
#;-) 610 7655.0 53 Portugal <=50K
#;-) 611 27584.0 27 Ireland <=50K
#;-) 612 37137.0 40 United-States <=50K
#;-) 613 87297.0 55 France <=50K
#;-) 614 12947.0 56 France <=50K
#;-) 615 40206.0 26 Puerto-Rico <=50K
#;-) 616 56752.0 12 Italy <=50K
#;-) 617 26034.0 7 Germany <=50K
#;-) 618 33819.0 51 Haiti >50K
#;-) 619 48896.5 69 Honduras <=50K
#;-) 620 59030.0 55 Dominican-Republic >50K
#;-) 621 35865.0 37 Poland <=50K
#;-) 622 65255.0 7 Hungary <=50K
#;-) 623 1573.0 5 Puerto-Rico >50K
#;-) 624 31567.0 55 Dominican-Republic >50K
#;-) 625 91639.0 50 Trinadad&Tobago <=50K
#;-) 626 64266.0 87 Ecuador <=50K
#;-) 627 98012.0 39 El-Salvador >50K
#;-) 628 75399.0 47 Italy <=50K
#;-) 629 21631.0 48 Hungary <=50K
#;-) 630 26908.0 13 Scotland <=50K
#;-) 631 36970.0 60 Scotland <=50K
#;-) 632 16144.0 50 South >50K
#;-) 633 86632.0 53 Cambodia <=50K
#;-) 634 32483.0 18 Iran >50K
#;-) 635 73691.0 13 Hungary <=50K
#;-) 636 40052.0 30 <NA> <=50K
#;-) 637 73066.0 65 England >50K
#;-) 638 72490.0 6 Honduras >50K
#;-) 639 96493.0 48 Canada <=50K
#;-) 640 16271.0 58 Ireland <=50K
#;-) 641 18760.0 54 Thailand <=50K
#;-) 642 30714.0 61 <NA> >50K
#;-) 643 43963.0 5 Yugoslavia <=50K
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#;-) 645 90157.0 54 Guatemala <=50K
#;-) 646 1595.0 33 Japan >50K
#;-) 647 98560.0 42 Yugoslavia <=50K
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#;-) 652 30719.0 32 Holand-Netherlands <=50K
#;-) 653 18064.0 37 China >50K
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#;-) 655 9897.0 77 India <=50K
#;-) 656 30401.0 44 Guatemala <=50K
#;-) 657 48896.5 82 Vietnam >50K
#;-) 658 62843.0 48 Trinadad&Tobago <=50K
#;-) 659 24469.0 83 United-States <=50K
#;-) 660 48896.5 19 France <=50K
#;-) 661 68268.0 34 Taiwan <=50K
#;-) 662 48896.5 16 Japan <=50K
#;-) 663 81164.0 96 Portugal <=50K
#;-) 664 37733.0 45 Hong <=50K
#;-) 665 5929.0 69 Jamaica <=50K
#;-) 666 48005.0 67 El-Salvador <=50K
#;-) 667 54620.0 50 United-States <=50K
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#;-) 669 82126.0 48 Jamaica <=50K
#;-) 670 92351.0 52 Puerto-Rico <=50K
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#;-) 672 65048.0 1 Jamaica <=50K
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#;-) 675 68415.0 18 Peru <=50K
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#;-) 686 37050.0 94 Haiti <=50K
#;-) 687 77573.0 75 Laos <=50K
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#;-) 689 30236.0 27 Yugoslavia <=50K
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#;-) 694 4473.0 64 Canada >50K
#;-) 695 57232.0 89 Guatemala <=50K
#;-) 696 80628.0 49 Puerto-Rico <=50K
#;-) 697 29241.0 12 <NA> <=50K
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#;-) 700 65654.0 56 Columbia <=50K
#;-) 701 9209.0 25 Guatemala <=50K
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#;-) 705 28885.0 70 Jamaica >50K
#;-) 706 90703.0 8 Dominican-Republic <=50K
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#;-) 708 48896.5 51 Hungary <=50K
#;-) 709 66701.0 65 China <=50K
#;-) 710 45066.0 66 India <=50K
#;-) 711 36613.0 27 Iran <=50K
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#;-) 713 70891.0 46 Nicaragua <=50K
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#;-) 718 90542.0 68 Philippines <=50K
#;-) 719 56875.0 12 El-Salvador <=50K
#;-) 720 63403.0 45 Canada <=50K
#;-) 721 1751.0 23 Hungary <=50K
#;-) 722 5722.0 24 Peru <=50K
#;-) 723 57675.0 48 Cuba <=50K
#;-) 724 34769.0 27 Laos <=50K
#;-) 725 10566.0 11 United-States <=50K
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#;-) 728 48896.5 16 Thailand <=50K
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#;-) 730 43182.0 48 Ireland <=50K
#;-) 731 23763.0 46 Honduras <=50K
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#;-) 749 5743.0 54 Hong >50K
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#;-) 754 2972.0 22 Yugoslavia >50K
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#;-) 756 39661.0 32 El-Salvador <=50K
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#;-) 758 64956.0 35 Guatemala <=50K
#;-) 759 67925.0 56 Holand-Netherlands <=50K
#;-) 760 89054.0 7 Puerto-Rico <=50K
#;-) 761 16657.0 52 Thailand <=50K
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#;-) 766 63222.0 15 Greece <=50K
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#;-) 771 15972.0 67 <NA> <=50K
#;-) 772 27739.0 39 Puerto-Rico <=50K
#;-) 773 79004.0 1 Yugoslavia <=50K
#;-) 774 90320.0 82 Taiwan <=50K
#;-) 775 62901.0 98 France <=50K
#;-) 776 90575.0 38 Columbia <=50K
#;-) 777 93712.0 46 Taiwan >50K
#;-) 778 67985.0 9 South <=50K
#;-) 779 59325.0 36 South <=50K
#;-) 780 50302.0 15 Nicaragua <=50K
#;-) 781 55016.0 4 India <=50K
#;-) 782 10405.0 78 Poland <=50K
#;-) 783 15990.0 67 Cuba <=50K
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#;-) 786 36621.0 58 United-States >50K
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#;-) 788 28581.0 38 Scotland >50K
#;-) 789 48896.5 32 Ireland <=50K
#;-) 790 10071.0 97 England <=50K
#;-) 791 29068.0 48 <NA> <=50K
#;-) 792 12287.0 70 <NA> <=50K
#;-) 793 97812.0 23 Philippines <=50K
#;-) 794 37544.0 28 Laos <=50K
#;-) 795 50037.0 38 China <=50K
#;-) 796 12954.0 48 El-Salvador <=50K
#;-) 797 49143.0 79 Philippines >50K
#;-) 798 32889.0 76 Nicaragua <=50K
#;-) 799 23551.0 75 Vietnam <=50K
#;-) 800 39166.0 76 <NA> >50K
#;-) 801 14102.0 41 France >50K
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#;-) 803 41522.0 8 <NA> <=50K
#;-) 804 80230.0 26 Hungary <=50K
#;-) 805 46337.0 90 Cambodia >50K
#;-) 806 48896.5 94 Holand-Netherlands <=50K
#;-) 807 75580.0 75 Portugal <=50K
#;-) 808 6974.0 79 Japan <=50K
#;-) 809 75671.0 3 Canada <=50K
#;-) 810 3255.0 83 Vietnam <=50K
#;-) 811 45800.0 83 El-Salvador <=50K
#;-) 812 43561.0 11 Taiwan <=50K
#;-) 813 97379.0 81 Thailand <=50K
#;-) 814 60611.0 72 Peru <=50K
#;-) 815 8497.0 56 Taiwan >50K
#;-) 816 16157.0 48 Taiwan >50K
#;-) 817 48896.5 78 Nicaragua >50K
#;-) 818 23118.0 90 Greece <=50K
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#;-) 821 94963.0 8 England <=50K
#;-) 822 69697.0 59 China <=50K
#;-) 823 4118.0 48 Puerto-Rico >50K
#;-) 824 81822.0 13 Haiti <=50K
#;-) 825 78068.0 15 Guatemala <=50K
#;-) 826 69738.0 14 Dominican-Republic <=50K
#;-) 827 42771.0 36 Poland <=50K
#;-) 828 59396.0 26 Peru <=50K
#;-) 829 45592.0 93 Peru <=50K
#;-) 830 43706.0 59 China <=50K
#;-) 831 59238.0 30 Peru >50K
#;-) 832 88381.0 48 Hungary <=50K
#;-) 833 40228.0 76 South <=50K
#;-) 834 43674.0 65 Dominican-Republic <=50K
#;-) 835 14161.0 18 Taiwan >50K
#;-) 836 48896.5 13 Cambodia <=50K
#;-) 837 8250.0 37 Laos <=50K
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#;-) 839 58129.0 34 Puerto-Rico >50K
#;-) 840 73428.0 41 China <=50K
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#;-) 842 20912.0 7 China <=50K
#;-) 843 82802.0 71 Mexico <=50K
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#;-) 845 26557.0 82 Cambodia >50K
#;-) 846 59559.0 19 Japan <=50K
#;-) 847 1508.0 70 Trinadad&Tobago >50K
#;-) 848 48896.5 32 Hungary >50K
#;-) 849 87845.0 18 Philippines <=50K
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#;-) 852 43186.0 43 Thailand >50K
#;-) 853 3210.0 42 Honduras <=50K
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#;-) 855 1354.0 48 Haiti <=50K
#;-) 856 16575.0 7 Guatemala <=50K
#;-) 857 60049.0 51 Dominican-Republic <=50K
#;-) 858 57761.0 3 Cuba <=50K
#;-) 859 79769.0 57 Columbia <=50K
#;-) 860 41788.0 31 Dominican-Republic <=50K
#;-) 861 57609.0 38 Hong <=50K
#;-) 862 8745.0 58 Hong <=50K
#;-) 863 1583.0 63 Yugoslavia >50K
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#;-) 865 13495.0 51 India >50K
#;-) 866 48647.0 33 Portugal <=50K
#;-) 867 48896.5 49 Hungary <=50K
#;-) 868 68530.0 45 South <=50K
#;-) 869 70147.0 88 Hong <=50K
#;-) 870 20386.0 48 Italy <=50K
#;-) 871 11557.0 35 <NA> >50K
#;-) 872 82366.0 56 Puerto-Rico <=50K
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#;-) 875 72790.0 96 Ecuador <=50K
#;-) 876 1071.0 48 Vietnam <=50K
#;-) 877 15878.0 65 Laos <=50K
#;-) 878 32619.0 38 Guatemala <=50K
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#;-) 881 61462.0 32 <NA> <=50K
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#;-) 883 70081.0 5 Holand-Netherlands <=50K
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#;-) 885 573.0 72 Mexico <=50K
#;-) 886 26485.0 25 Vietnam <=50K
#;-) 887 13901.0 87 Jamaica <=50K
#;-) 888 11623.0 54 Scotland <=50K
#;-) 889 83177.0 24 Canada <=50K
#;-) 890 75938.0 20 France <=50K
#;-) 891 77395.0 94 Jamaica <=50K
#;-) 892 23040.0 16 Guatemala <=50K
#;-) 893 22969.0 47 China <=50K
#;-) 894 32086.0 49 Outlying-US(Guam-USVI-etc) <=50K
#;-) 895 94401.0 69 Guatemala >50K
#;-) 896 20956.0 55 India <=50K
#;-) 897 27265.0 18 Cuba >50K
#;-) 898 44618.0 56 Thailand >50K
#;-) 899 35608.0 80 Outlying-US(Guam-USVI-etc) >50K
#;-) 900 69416.0 35 Laos <=50K
#;-) 901 79207.0 87 Laos <=50K
#;-) 902 98334.0 73 India <=50K
#;-) 903 58034.0 42 Dominican-Republic >50K
#;-) 904 79322.0 85 Hong <=50K
#;-) 905 90033.0 42 Germany <=50K
#;-) 906 92047.0 36 Jamaica <=50K
#;-) 907 80341.0 20 Laos >50K
#;-) 908 19644.0 72 Thailand >50K
#;-) 909 93352.0 7 France <=50K
#;-) 910 77561.0 22 Poland <=50K
#;-) 911 97675.0 94 Philippines <=50K
#;-) 912 90265.0 20 Mexico <=50K
#;-) 913 50099.0 48 Cambodia <=50K
#;-) 914 95620.0 1 Greece <=50K
#;-) 915 3936.0 47 United-States <=50K
#;-) 916 82400.0 21 Poland <=50K
#;-) 917 21670.0 48 Laos <=50K
#;-) 918 39472.0 78 Canada <=50K
#;-) 919 20330.0 75 Greece >50K
#;-) 920 9900.0 89 Iran <=50K
#;-) 921 15983.0 11 Poland >50K
#;-) 922 6725.0 55 El-Salvador <=50K
#;-) 923 56972.0 21 Haiti <=50K
#;-) 924 48896.5 52 Poland <=50K
#;-) 925 48896.5 58 India <=50K
#;-) 926 9842.0 25 Vietnam >50K
#;-) 927 52757.0 28 Poland >50K
#;-) 928 37705.0 20 Canada <=50K
#;-) 929 68300.0 58 El-Salvador <=50K
#;-) 930 22880.0 56 Germany <=50K
#;-) 931 90107.0 70 Ireland <=50K
#;-) 932 89971.0 86 Italy <=50K
#;-) 933 99089.0 55 Cambodia <=50K
#;-) 934 42768.0 24 Nicaragua <=50K
#;-) 935 95340.0 24 <NA> >50K
#;-) 936 82859.0 34 Dominican-Republic <=50K
#;-) 937 7701.0 68 Cambodia <=50K
#;-) 938 21921.0 19 Cuba <=50K
#;-) 939 78121.0 3 El-Salvador <=50K
#;-) 940 90700.0 64 Columbia <=50K
#;-) 941 6830.0 24 England >50K
#;-) 942 46556.0 27 Peru <=50K
#;-) 943 27460.0 48 Portugal >50K
#;-) 944 65366.0 52 Canada <=50K
#;-) 945 87217.0 96 Iran <=50K
#;-) 946 13643.0 87 <NA> <=50K
#;-) 947 63909.0 74 Poland >50K
#;-) 948 63773.0 22 Jamaica <=50K
#;-) 949 61440.0 48 China <=50K
#;-) 950 50401.0 21 Nicaragua <=50K
#;-) 951 53936.0 49 Honduras <=50K
#;-) 952 48896.5 85 Portugal <=50K
#;-) 953 16572.0 79 Ecuador <=50K
#;-) 954 79592.0 25 England >50K
#;-) 955 56467.0 7 Ireland >50K
#;-) 956 7886.0 89 India <=50K
#;-) 957 80695.0 47 Cambodia <=50K
#;-) 958 48896.5 48 Trinadad&Tobago <=50K
#;-) 959 79241.0 72 Portugal <=50K
#;-) 960 86262.0 29 Yugoslavia >50K
#;-) 961 304.0 1 Ecuador <=50K
#;-) 962 61678.0 40 Hong >50K
#;-) 963 53069.0 39 Thailand <=50K
#;-) 964 87587.0 46 Cambodia <=50K
#;-) 965 19155.0 5 Portugal <=50K
#;-) 966 78218.0 67 Canada <=50K
#;-) 967 1336.0 75 Holand-Netherlands >50K
#;-) 968 39407.0 37 Germany <=50K
#;-) 969 33813.0 83 Scotland <=50K
#;-) 970 44003.0 91 Guatemala >50K
#;-) 971 71219.0 56 Ecuador >50K
#;-) 972 51634.0 82 China <=50K
#;-) 973 42999.0 83 Ecuador <=50K
#;-) 974 31081.0 43 England >50K
#;-) 975 21342.0 43 Columbia <=50K
#;-) 976 42751.0 45 <NA> <=50K
#;-) 977 14768.0 81 Dominican-Republic <=50K
#;-) 978 42950.0 4 Vietnam <=50K
#;-) 979 32996.0 18 Vietnam >50K
#;-) 980 3200.0 36 France >50K
#;-) 981 56119.0 97 Iran <=50K
#;-) 982 22259.0 28 Yugoslavia <=50K
#;-) 983 83749.0 48 Nicaragua <=50K
#;-) 984 56498.0 88 Haiti <=50K
#;-) 985 56597.0 49 Haiti <=50K
#;-) 986 25857.0 68 Iran <=50K
#;-) 987 57346.0 33 <NA> <=50K
#;-) 988 37109.0 42 Taiwan <=50K
#;-) 989 99230.0 77 Hungary <=50K
#;-) 990 73350.0 11 Portugal >50K
#;-) 991 73621.0 52 Peru <=50K
#;-) 992 83857.0 29 United-States <=50K
#;-) 993 58226.0 53 Canada >50K
#;-) 994 77759.0 21 Ireland <=50K
#;-) 995 95453.0 90 France <=50K
#;-) 996 86371.0 11 <NA> <=50K
#;-) 997 37949.0 93 Germany >50K
#;-) 998 62382.0 52 Laos >50K
#;-) 999 63442.0 48 Cambodia <=50K
#;-) 1000 74343.0 15 Portugal <=50K
# removing non-imputable variables
dataset_clean <- dataset_imputed[complete.cases(dataset_imputed), ]
dataset_clean
#;-) age workclass education education_num marital_status
#;-) 3 31 State-gov Bachelors 2 Married-spouse-absent
#;-) 4 84 Never-worked 7th-8th 10 Separated
#;-) 5 59 Private 12th 16 Married-civ-spouse
#;-) 7 60 Never-worked Prof-school 11 Married-spouse-absent
#;-) 8 31 Self-emp-not-inc 5th-6th 13 Married-AF-spouse
#;-) 10 86 Local-gov Masters 12 Widowed
#;-) 11 74 State-gov Preschool 12 Married-AF-spouse
#;-) 12 26 Local-gov Preschool 16 Divorced
#;-) 15 24 Never-worked 1st-4th 15 Divorced
#;-) 18 53 State-gov Doctorate 12 Married-AF-spouse
#;-) 19 60 Self-emp-inc 10th 14 Never-married
#;-) 21 49 Self-emp-inc Doctorate 11 Married-AF-spouse
#;-) 23 26 Private 5th-6th 5 Widowed
#;-) 24 58 Federal-gov 12th 11 Divorced
#;-) 25 40 Federal-gov 10th 7 Married-AF-spouse
#;-) 26 44 Without-pay 1st-4th 5 Separated
#;-) 27 77 Never-worked 7th-8th 4 Married-civ-spouse
#;-) 29 24 Self-emp-inc Doctorate 5 Divorced
#;-) 32 55 Private 12th 6 Divorced
#;-) 34 86 State-gov Doctorate 11 Married-spouse-absent
#;-) 35 89 Federal-gov 9th 15 Divorced
#;-) 40 38 Local-gov 10th 14 Divorced
#;-) 41 58 Private 7th-8th 10 Separated
#;-) 42 64 Never-worked Doctorate 5 Married-spouse-absent
#;-) 43 77 State-gov 10th 3 Married-AF-spouse
#;-) 45 23 Private 7th-8th 5 Divorced
#;-) 46 89 Self-emp-inc Prof-school 11 Married-civ-spouse
#;-) 47 56 Local-gov 10th 14 Widowed
#;-) 48 48 State-gov Doctorate 13 Married-civ-spouse
#;-) 49 67 Without-pay Some-college 3 Never-married
#;-) 50 51 State-gov HS-grad 4 Separated
#;-) 51 21 Local-gov Preschool 4 Married-spouse-absent
#;-) 52 30 Self-emp-inc HS-grad 11 Married-AF-spouse
#;-) 54 42 State-gov 9th 1 Divorced
#;-) 55 69 State-gov 5th-6th 4 Married-AF-spouse
#;-) 58 42 Federal-gov Bachelors 9 Married-spouse-absent
#;-) 59 52 Federal-gov Prof-school 14 Married-spouse-absent
#;-) 61 47 Self-emp-inc 7th-8th 6 Married-AF-spouse
#;-) 62 29 Never-worked 1st-4th 5 Widowed
#;-) 63 48 Federal-gov Bachelors 14 Divorced
#;-) 64 47 Local-gov 10th 11 Married-spouse-absent
#;-) 66 31 State-gov 12th 6 Separated
#;-) 67 88 Self-emp-not-inc 10th 3 Never-married
#;-) 68 84 Federal-gov Bachelors 15 Separated
#;-) 69 40 Self-emp-inc 10th 14 Separated
#;-) 70 54 Private Prof-school 1 Married-spouse-absent
#;-) 71 25 Self-emp-inc Assoc-voc 12 Separated
#;-) 72 68 Never-worked Assoc-acdm 7 Widowed
#;-) 73 67 Local-gov Doctorate 1 Married-AF-spouse
#;-) 76 79 Self-emp-not-inc Assoc-acdm 3 Divorced
#;-) 77 63 Self-emp-inc HS-grad 9 Never-married
#;-) 80 41 Self-emp-not-inc 5th-6th 1 Married-civ-spouse
#;-) 81 24 Federal-gov Assoc-voc 7 Divorced
#;-) 83 43 Self-emp-inc 1st-4th 15 Married-civ-spouse
#;-) 84 49 Never-worked Assoc-voc 4 Divorced
#;-) 85 24 Federal-gov Some-college 2 Separated
#;-) 86 44 Never-worked 7th-8th 10 Divorced
#;-) 88 22 Federal-gov Masters 4 Married-civ-spouse
#;-) 90 33 Self-emp-not-inc Some-college 11 Never-married
#;-) 91 41 Private Doctorate 9 Separated
#;-) 92 49 Private 9th 12 Married-AF-spouse
#;-) 93 38 Local-gov 9th 13 Married-spouse-absent
#;-) 94 72 Private Assoc-voc 2 Married-spouse-absent
#;-) 96 56 Federal-gov HS-grad 8 Married-civ-spouse
#;-) 97 71 Private 5th-6th 3 Never-married
#;-) 101 73 Local-gov Assoc-acdm 15 Divorced
#;-) 102 56 Local-gov 10th 5 Divorced
#;-) 104 18 Without-pay Preschool 2 Widowed
#;-) 105 57 State-gov Masters 4 Separated
#;-) 106 47 Private 12th 10 Married-AF-spouse
#;-) 107 33 Without-pay Prof-school 5 Divorced
#;-) 109 65 Private 10th 15 Widowed
#;-) 111 84 Self-emp-inc 7th-8th 15 Married-spouse-absent
#;-) 112 53 Self-emp-inc Preschool 2 Married-spouse-absent
#;-) 113 69 State-gov 11th 2 Married-civ-spouse
#;-) 114 39 Self-emp-not-inc Some-college 10 Divorced
#;-) 118 28 Without-pay 9th 9 Divorced
#;-) 120 25 Self-emp-not-inc 12th 9 Married-spouse-absent
#;-) 121 63 Local-gov 11th 1 Widowed
#;-) 122 83 Never-worked Preschool 9 Widowed
#;-) 124 87 State-gov 9th 11 Divorced
#;-) 126 61 Self-emp-inc Bachelors 13 Married-civ-spouse
#;-) 127 49 State-gov 5th-6th 12 Separated
#;-) 128 53 Never-worked HS-grad 6 Widowed
#;-) 129 62 Private 11th 2 Divorced
#;-) 130 31 State-gov Some-college 12 Married-spouse-absent
#;-) 131 33 Private 11th 13 Separated
#;-) 134 57 Local-gov 10th 5 Married-spouse-absent
#;-) 136 89 Private Prof-school 8 Separated
#;-) 140 75 Private HS-grad 13 Never-married
#;-) 142 41 Local-gov 1st-4th 3 Widowed
#;-) 143 80 Without-pay Assoc-voc 14 Married-AF-spouse
#;-) 144 71 Self-emp-not-inc 10th 14 Married-AF-spouse
#;-) 147 50 Without-pay 5th-6th 15 Never-married
#;-) 148 74 Private 12th 1 Married-spouse-absent
#;-) 150 27 Private 7th-8th 2 Divorced
#;-) 151 70 State-gov 5th-6th 11 Married-spouse-absent
#;-) 152 71 State-gov 12th 5 Never-married
#;-) 153 28 State-gov Doctorate 13 Married-spouse-absent
#;-) 154 42 Never-worked Some-college 2 Separated
#;-) 157 24 Private Some-college 10 Separated
#;-) 158 42 Federal-gov Masters 6 Separated
#;-) 159 49 State-gov Some-college 6 Married-civ-spouse
#;-) 162 90 Never-worked Prof-school 3 Married-civ-spouse
#;-) 165 23 Without-pay Assoc-voc 7 Divorced
#;-) 166 18 State-gov 11th 7 Married-civ-spouse
#;-) 168 46 Local-gov 1st-4th 10 Married-AF-spouse
#;-) 170 44 Self-emp-inc Some-college 2 Married-AF-spouse
#;-) 171 24 Never-worked 12th 4 Divorced
#;-) 175 23 State-gov Assoc-voc 11 Widowed
#;-) 176 48 Never-worked Prof-school 15 Separated
#;-) 177 34 Without-pay Some-college 13 Divorced
#;-) 180 74 Never-worked 5th-6th 10 Married-AF-spouse
#;-) 181 37 Without-pay Masters 14 Married-spouse-absent
#;-) 182 52 Self-emp-inc Masters 15 Separated
#;-) 183 50 Never-worked 10th 9 Widowed
#;-) 185 21 Private Assoc-voc 5 Never-married
#;-) 186 22 State-gov Doctorate 8 Married-AF-spouse
#;-) 188 25 Federal-gov 11th 3 Married-civ-spouse
#;-) 191 35 Private Preschool 1 Married-spouse-absent
#;-) 193 48 Self-emp-not-inc 1st-4th 10 Separated
#;-) 195 88 Self-emp-not-inc Prof-school 9 Married-AF-spouse
#;-) 196 78 Local-gov Bachelors 3 Married-spouse-absent
#;-) 197 65 Self-emp-inc 9th 10 Married-AF-spouse
#;-) 199 62 Self-emp-not-inc 11th 1 Married-spouse-absent
#;-) 201 70 Local-gov 1st-4th 3 Married-AF-spouse
#;-) 203 80 State-gov 9th 3 Married-spouse-absent
#;-) 204 88 Private Masters 10 Married-spouse-absent
#;-) 205 34 Never-worked 12th 8 Married-civ-spouse
#;-) 206 19 Local-gov 11th 2 Married-civ-spouse
#;-) 207 66 Private Assoc-voc 13 Never-married
#;-) 209 30 Private Bachelors 16 Married-spouse-absent
#;-) 210 41 Self-emp-not-inc Preschool 14 Separated
#;-) 211 66 Self-emp-not-inc Doctorate 5 Widowed
#;-) 212 84 Private Prof-school 9 Married-spouse-absent
#;-) 215 80 Self-emp-not-inc 10th 10 Widowed
#;-) 216 30 Self-emp-inc Masters 1 Separated
#;-) 218 78 Private 7th-8th 9 Widowed
#;-) 219 87 State-gov Assoc-voc 3 Separated
#;-) 220 55 State-gov HS-grad 4 Never-married
#;-) 221 81 Without-pay HS-grad 1 Married-spouse-absent
#;-) 222 53 Self-emp-not-inc 11th 1 Married-spouse-absent
#;-) 223 52 Without-pay 12th 6 Married-spouse-absent
#;-) 225 65 Federal-gov Bachelors 10 Married-spouse-absent
#;-) 226 83 Never-worked HS-grad 7 Married-spouse-absent
#;-) 228 84 Local-gov Assoc-voc 10 Divorced
#;-) 229 26 Private 12th 16 Separated
#;-) 231 56 Self-emp-not-inc Assoc-voc 13 Married-spouse-absent
#;-) 232 48 Private Preschool 14 Divorced
#;-) 234 53 Without-pay Assoc-voc 4 Widowed
#;-) 235 39 State-gov 5th-6th 9 Separated
#;-) 236 61 Federal-gov Prof-school 7 Divorced
#;-) 237 58 Without-pay 12th 7 Widowed
#;-) 238 60 Never-worked Masters 12 Divorced
#;-) 239 56 Self-emp-inc Preschool 7 Married-AF-spouse
#;-) 241 50 Without-pay Assoc-acdm 7 Never-married
#;-) 242 29 Federal-gov Masters 5 Divorced
#;-) 243 38 Without-pay Prof-school 9 Divorced
#;-) 246 67 State-gov 5th-6th 11 Widowed
#;-) 247 64 Self-emp-not-inc Doctorate 15 Divorced
#;-) 255 37 Local-gov 1st-4th 14 Divorced
#;-) 257 25 Local-gov 7th-8th 5 Never-married
#;-) 258 56 Local-gov 5th-6th 10 Married-AF-spouse
#;-) 259 80 State-gov Assoc-acdm 6 Married-spouse-absent
#;-) 262 36 State-gov Assoc-voc 1 Divorced
#;-) 263 30 Self-emp-not-inc Masters 8 Divorced
#;-) 264 48 Without-pay Assoc-voc 13 Married-spouse-absent
#;-) 265 47 State-gov 7th-8th 7 Married-spouse-absent
#;-) 269 53 Self-emp-inc 11th 4 Married-civ-spouse
#;-) 270 67 Never-worked 7th-8th 12 Divorced
#;-) 276 45 Local-gov Masters 12 Divorced
#;-) 278 67 Private 5th-6th 1 Married-civ-spouse
#;-) 279 64 Private 1st-4th 6 Divorced
#;-) 280 68 Self-emp-not-inc 5th-6th 2 Divorced
#;-) 281 23 Self-emp-not-inc 1st-4th 10 Married-spouse-absent
#;-) 282 32 Self-emp-not-inc 5th-6th 10 Married-spouse-absent
#;-) 284 76 Without-pay Prof-school 1 Never-married
#;-) 285 20 State-gov Masters 2 Married-civ-spouse
#;-) 286 50 Self-emp-inc Bachelors 8 Divorced
#;-) 295 70 Never-worked 11th 13 Married-spouse-absent
#;-) 296 28 Private Assoc-voc 2 Never-married
#;-) 297 25 State-gov 1st-4th 12 Married-AF-spouse
#;-) 299 46 Self-emp-inc Doctorate 5 Married-AF-spouse
#;-) 300 67 Self-emp-not-inc 1st-4th 14 Separated
#;-) 301 87 Federal-gov Prof-school 4 Never-married
#;-) 302 43 Private Assoc-acdm 9 Divorced
#;-) 303 90 Private Preschool 10 Married-spouse-absent
#;-) 304 28 Self-emp-inc Assoc-acdm 2 Separated
#;-) 307 44 State-gov 12th 13 Separated
#;-) 308 85 Self-emp-not-inc 11th 1 Never-married
#;-) 311 57 State-gov 1st-4th 10 Divorced
#;-) 313 53 Without-pay 10th 10 Married-AF-spouse
#;-) 314 72 Never-worked HS-grad 1 Married-spouse-absent
#;-) 316 27 Never-worked 9th 5 Married-spouse-absent
#;-) 317 42 Federal-gov HS-grad 13 Never-married
#;-) 318 55 Federal-gov Bachelors 15 Married-AF-spouse
#;-) 319 42 Self-emp-not-inc 12th 4 Married-spouse-absent
#;-) 321 69 Self-emp-not-inc 7th-8th 6 Separated
#;-) 322 39 Without-pay 7th-8th 12 Never-married
#;-) 325 64 Federal-gov Masters 4 Never-married
#;-) 326 77 Local-gov 10th 7 Married-civ-spouse
#;-) 327 80 Self-emp-inc Doctorate 5 Separated
#;-) 328 54 Without-pay Prof-school 16 Married-AF-spouse
#;-) 329 63 Self-emp-inc 5th-6th 12 Divorced
#;-) 331 64 Self-emp-not-inc Assoc-voc 8 Married-civ-spouse
#;-) 332 33 Self-emp-inc 5th-6th 16 Separated
#;-) 333 36 Federal-gov Prof-school 3 Separated
#;-) 334 89 Private 9th 2 Never-married
#;-) 335 48 Self-emp-inc Assoc-acdm 12 Married-civ-spouse
#;-) 337 65 Never-worked Assoc-acdm 4 Divorced
#;-) 339 79 Without-pay HS-grad 14 Widowed
#;-) 343 47 State-gov Masters 5 Married-civ-spouse
#;-) 344 78 Local-gov 10th 5 Widowed
#;-) 347 51 Never-worked Bachelors 2 Separated
#;-) 348 74 Without-pay 12th 2 Divorced
#;-) 349 55 Never-worked 5th-6th 6 Never-married
#;-) 351 63 State-gov 12th 6 Separated
#;-) 353 35 Never-worked 1st-4th 7 Married-AF-spouse
#;-) 355 89 Private 12th 2 Separated
#;-) 356 38 Self-emp-inc 9th 10 Divorced
#;-) 357 74 State-gov Assoc-acdm 2 Married-spouse-absent
#;-) 358 88 Without-pay Doctorate 7 Widowed
#;-) 359 89 Self-emp-inc Masters 2 Never-married
#;-) 363 23 State-gov Assoc-acdm 2 Separated
#;-) 364 57 Self-emp-inc HS-grad 9 Divorced
#;-) 368 66 Self-emp-inc 5th-6th 9 Married-AF-spouse
#;-) 371 64 Private 5th-6th 7 Widowed
#;-) 372 37 Federal-gov Prof-school 14 Married-spouse-absent
#;-) 375 80 Local-gov Doctorate 13 Never-married
#;-) 376 79 Without-pay HS-grad 7 Married-AF-spouse
#;-) 377 27 Federal-gov Assoc-voc 4 Married-AF-spouse
#;-) 378 76 Private 7th-8th 9 Married-AF-spouse
#;-) 379 66 Self-emp-inc HS-grad 6 Married-civ-spouse
#;-) 381 78 Without-pay 1st-4th 2 Divorced
#;-) 383 53 Local-gov Bachelors 9 Separated
#;-) 385 51 Self-emp-inc 10th 11 Divorced
#;-) 386 21 Private 9th 2 Married-spouse-absent
#;-) 388 46 Self-emp-inc Assoc-voc 9 Married-spouse-absent
#;-) 389 75 Federal-gov Prof-school 8 Divorced
#;-) 390 73 State-gov Prof-school 10 Never-married
#;-) 392 67 Without-pay HS-grad 12 Married-spouse-absent
#;-) 393 65 Self-emp-not-inc Assoc-acdm 10 Widowed
#;-) 394 20 State-gov 5th-6th 2 Never-married
#;-) 397 83 Local-gov 11th 5 Divorced
#;-) 398 81 Federal-gov HS-grad 10 Married-spouse-absent
#;-) 399 57 Self-emp-inc 5th-6th 2 Married-AF-spouse
#;-) 401 37 Self-emp-not-inc Doctorate 6 Widowed
#;-) 402 42 Local-gov 7th-8th 15 Never-married
#;-) 403 88 Federal-gov 1st-4th 4 Widowed
#;-) 404 57 Federal-gov Preschool 4 Widowed
#;-) 405 78 Local-gov 1st-4th 13 Married-spouse-absent
#;-) 406 39 Federal-gov HS-grad 10 Divorced
#;-) 408 50 Self-emp-inc HS-grad 8 Widowed
#;-) 409 81 Never-worked Assoc-voc 5 Married-civ-spouse
#;-) 411 48 Federal-gov Doctorate 16 Married-AF-spouse
#;-) 412 63 Self-emp-not-inc 9th 15 Never-married
#;-) 413 89 Local-gov Assoc-acdm 2 Married-spouse-absent
#;-) 414 41 Self-emp-inc Some-college 12 Divorced
#;-) 415 77 Local-gov Some-college 16 Married-civ-spouse
#;-) 417 40 State-gov Assoc-voc 14 Separated
#;-) 420 74 Without-pay 11th 8 Married-civ-spouse
#;-) 421 60 Never-worked 10th 2 Divorced
#;-) 422 40 Federal-gov 9th 9 Married-spouse-absent
#;-) 423 62 Self-emp-inc 7th-8th 6 Divorced
#;-) 425 53 State-gov 5th-6th 8 Widowed
#;-) 426 84 Never-worked Doctorate 8 Widowed
#;-) 427 56 Self-emp-not-inc 7th-8th 9 Never-married
#;-) 428 50 Federal-gov 1st-4th 10 Married-spouse-absent
#;-) 429 55 Local-gov 11th 2 Married-spouse-absent
#;-) 430 45 State-gov Some-college 10 Married-AF-spouse
#;-) 431 70 Self-emp-not-inc 1st-4th 16 Divorced
#;-) 432 27 Never-worked Assoc-voc 14 Married-spouse-absent
#;-) 433 58 Self-emp-not-inc Prof-school 16 Married-spouse-absent
#;-) 434 25 State-gov Some-college 3 Separated
#;-) 435 18 Self-emp-inc 12th 8 Separated
#;-) 436 83 Self-emp-inc 11th 16 Separated
#;-) 437 29 Local-gov Some-college 11 Never-married
#;-) 438 89 State-gov Preschool 15 Married-civ-spouse
#;-) 441 74 State-gov 11th 3 Married-spouse-absent
#;-) 442 90 Local-gov Assoc-acdm 12 Married-AF-spouse
#;-) 443 69 Self-emp-not-inc Preschool 2 Never-married
#;-) 445 57 Never-worked Assoc-acdm 13 Married-civ-spouse
#;-) 447 82 Self-emp-inc 5th-6th 9 Widowed
#;-) 448 90 Federal-gov 5th-6th 2 Married-spouse-absent
#;-) 449 24 Local-gov HS-grad 1 Separated
#;-) 450 46 Private Bachelors 3 Married-civ-spouse
#;-) 451 37 State-gov 1st-4th 15 Widowed
#;-) 452 24 Never-worked 10th 14 Married-civ-spouse
#;-) 453 62 Local-gov HS-grad 4 Widowed
#;-) 454 42 Self-emp-not-inc 12th 10 Widowed
#;-) 455 30 Without-pay Assoc-acdm 3 Married-AF-spouse
#;-) 457 58 Private 9th 16 Married-spouse-absent
#;-) 458 29 Without-pay 9th 5 Married-AF-spouse
#;-) 460 88 Local-gov HS-grad 8 Separated
#;-) 462 66 Self-emp-inc 1st-4th 16 Separated
#;-) 464 52 Never-worked Some-college 1 Married-AF-spouse
#;-) 471 84 Never-worked 9th 13 Married-AF-spouse
#;-) 472 70 Federal-gov Prof-school 16 Married-civ-spouse
#;-) 474 45 Local-gov 5th-6th 5 Married-AF-spouse
#;-) 478 63 Without-pay Bachelors 11 Married-spouse-absent
#;-) 479 81 Federal-gov Bachelors 3 Widowed
#;-) 481 18 State-gov Doctorate 14 Married-AF-spouse
#;-) 482 69 Federal-gov HS-grad 16 Widowed
#;-) 483 85 Without-pay Doctorate 1 Married-AF-spouse
#;-) 485 36 Self-emp-inc Some-college 9 Never-married
#;-) 486 52 Never-worked 1st-4th 1 Married-civ-spouse
#;-) 487 50 State-gov 7th-8th 16 Widowed
#;-) 490 40 Never-worked 11th 2 Married-civ-spouse
#;-) 493 66 Self-emp-not-inc HS-grad 15 Married-civ-spouse
#;-) 495 81 State-gov Doctorate 14 Separated
#;-) 496 19 Federal-gov 9th 11 Divorced
#;-) 498 21 Self-emp-not-inc Prof-school 15 Married-spouse-absent
#;-) 499 89 Self-emp-inc Doctorate 16 Widowed
#;-) 500 82 Federal-gov Assoc-acdm 14 Separated
#;-) 501 28 State-gov Some-college 7 Married-spouse-absent
#;-) 502 74 Self-emp-inc Prof-school 12 Separated
#;-) 503 73 Private Assoc-voc 4 Divorced
#;-) 505 69 Federal-gov Prof-school 4 Married-civ-spouse
#;-) 509 24 Private 10th 9 Married-AF-spouse
#;-) 510 85 Without-pay Masters 14 Married-civ-spouse
#;-) 512 41 Self-emp-inc Assoc-acdm 4 Married-civ-spouse
#;-) 514 84 Self-emp-not-inc 10th 11 Never-married
#;-) 515 28 Self-emp-not-inc HS-grad 6 Divorced
#;-) 516 22 Never-worked 5th-6th 1 Married-spouse-absent
#;-) 518 28 Never-worked Preschool 7 Divorced
#;-) 519 77 Never-worked 12th 13 Married-AF-spouse
#;-) 521 62 Never-worked Doctorate 3 Never-married
#;-) 525 27 Local-gov Assoc-voc 2 Separated
#;-) 526 81 Local-gov 7th-8th 8 Married-spouse-absent
#;-) 527 89 Private Assoc-acdm 15 Separated
#;-) 530 49 Never-worked 11th 4 Never-married
#;-) 531 56 Local-gov 1st-4th 1 Married-spouse-absent
#;-) 532 24 Without-pay Bachelors 16 Separated
#;-) 535 50 Never-worked 11th 8 Divorced
#;-) 536 19 Private 12th 7 Never-married
#;-) 538 87 Self-emp-inc Masters 15 Widowed
#;-) 539 76 Self-emp-inc 9th 13 Married-civ-spouse
#;-) 540 64 Federal-gov Preschool 10 Widowed
#;-) 542 40 State-gov 12th 5 Never-married
#;-) 544 32 Without-pay 9th 4 Divorced
#;-) 545 89 Without-pay 5th-6th 16 Married-civ-spouse
#;-) 547 65 Self-emp-inc Some-college 1 Never-married
#;-) 548 90 Without-pay HS-grad 6 Married-AF-spouse
#;-) 550 73 Local-gov Assoc-voc 3 Married-AF-spouse
#;-) 551 21 Federal-gov Preschool 6 Divorced
#;-) 552 88 Private 5th-6th 11 Married-civ-spouse
#;-) 553 73 Local-gov Some-college 6 Married-civ-spouse
#;-) 555 28 State-gov Bachelors 2 Married-spouse-absent
#;-) 556 77 Private Masters 14 Separated
#;-) 557 84 Without-pay Masters 11 Divorced
#;-) 558 75 Federal-gov 1st-4th 6 Married-spouse-absent
#;-) 560 30 Never-worked 1st-4th 5 Separated
#;-) 561 25 Private Some-college 1 Divorced
#;-) 562 19 Without-pay 1st-4th 6 Married-spouse-absent
#;-) 563 23 Federal-gov Doctorate 4 Married-spouse-absent
#;-) 565 49 Private Assoc-voc 11 Married-spouse-absent
#;-) 566 88 Self-emp-not-inc 12th 15 Never-married
#;-) 567 89 Local-gov Assoc-voc 14 Divorced
#;-) 568 34 Never-worked 10th 14 Married-AF-spouse
#;-) 570 72 Federal-gov 9th 4 Never-married
#;-) 572 32 Self-emp-not-inc Doctorate 16 Married-civ-spouse
#;-) 575 44 Self-emp-not-inc 5th-6th 10 Separated
#;-) 577 67 Self-emp-inc 11th 6 Divorced
#;-) 578 35 Self-emp-not-inc Assoc-voc 9 Widowed
#;-) 579 37 Local-gov 9th 14 Married-civ-spouse
#;-) 581 70 Private 9th 2 Married-civ-spouse
#;-) 584 48 Never-worked 10th 6 Married-AF-spouse
#;-) 586 35 Never-worked 12th 13 Separated
#;-) 587 61 Self-emp-inc Preschool 14 Widowed
#;-) 588 38 Never-worked Assoc-voc 11 Divorced
#;-) 590 53 Without-pay Masters 13 Widowed
#;-) 592 59 State-gov Some-college 6 Widowed
#;-) 593 86 State-gov 12th 10 Married-civ-spouse
#;-) 594 83 Federal-gov 5th-6th 14 Married-spouse-absent
#;-) 596 81 Private Bachelors 8 Married-spouse-absent
#;-) 597 68 Self-emp-inc Assoc-voc 16 Married-AF-spouse
#;-) 598 35 Without-pay Bachelors 7 Divorced
#;-) 599 27 Never-worked 5th-6th 6 Separated
#;-) 601 89 Without-pay Masters 1 Never-married
#;-) 602 19 Federal-gov HS-grad 2 Married-spouse-absent
#;-) 605 44 Private HS-grad 11 Divorced
#;-) 606 40 Never-worked 7th-8th 8 Divorced
#;-) 607 20 Self-emp-not-inc 1st-4th 9 Married-spouse-absent
#;-) 609 75 Private Preschool 13 Married-spouse-absent
#;-) 612 48 Self-emp-inc Doctorate 11 Married-AF-spouse
#;-) 614 63 Private Doctorate 1 Married-AF-spouse
#;-) 615 26 Private Masters 10 Widowed
#;-) 616 34 Private 12th 10 Married-civ-spouse
#;-) 618 25 Local-gov Bachelors 14 Married-AF-spouse
#;-) 620 26 Private 12th 16 Married-AF-spouse
#;-) 621 42 Without-pay Assoc-voc 16 Married-spouse-absent
#;-) 622 19 Private Prof-school 9 Never-married
#;-) 623 28 Without-pay Bachelors 4 Separated
#;-) 626 37 Never-worked Preschool 11 Separated
#;-) 627 28 Self-emp-not-inc Prof-school 12 Married-AF-spouse
#;-) 628 35 State-gov Preschool 11 Widowed
#;-) 629 71 Self-emp-not-inc Prof-school 11 Married-AF-spouse
#;-) 630 31 Federal-gov Prof-school 4 Married-civ-spouse
#;-) 631 84 Without-pay Masters 9 Married-AF-spouse
#;-) 632 84 Private Bachelors 2 Divorced
#;-) 634 40 Without-pay Preschool 12 Married-spouse-absent
#;-) 637 54 Private Assoc-voc 14 Never-married
#;-) 638 77 Local-gov HS-grad 12 Married-AF-spouse
#;-) 641 42 Self-emp-not-inc Some-college 13 Married-spouse-absent
#;-) 643 43 Local-gov 5th-6th 6 Married-AF-spouse
#;-) 644 61 Never-worked Some-college 3 Widowed
#;-) 646 33 Self-emp-inc 7th-8th 11 Married-spouse-absent
#;-) 647 56 Private 11th 12 Widowed
#;-) 648 82 Without-pay HS-grad 8 Divorced
#;-) 649 75 Without-pay Assoc-acdm 4 Married-civ-spouse
#;-) 650 73 Self-emp-not-inc Assoc-acdm 16 Widowed
#;-) 651 60 Local-gov 7th-8th 1 Married-AF-spouse
#;-) 652 84 Without-pay 7th-8th 11 Widowed
#;-) 653 73 Self-emp-inc Masters 1 Married-civ-spouse
#;-) 654 39 Never-worked 11th 9 Married-AF-spouse
#;-) 655 34 Private 7th-8th 4 Married-spouse-absent
#;-) 656 31 Self-emp-not-inc 12th 5 Married-AF-spouse
#;-) 660 37 Federal-gov 9th 9 Widowed
#;-) 661 67 Self-emp-inc Assoc-acdm 8 Widowed
#;-) 662 34 Federal-gov 1st-4th 13 Never-married
#;-) 663 26 Self-emp-inc 10th 1 Never-married
#;-) 664 52 Never-worked 5th-6th 6 Widowed
#;-) 665 80 Without-pay Assoc-voc 5 Married-civ-spouse
#;-) 667 33 Local-gov 9th 9 Married-civ-spouse
#;-) 668 69 Never-worked Doctorate 10 Separated
#;-) 670 71 State-gov 5th-6th 9 Never-married
#;-) 671 43 Local-gov Prof-school 5 Married-spouse-absent
#;-) 672 30 Local-gov Some-college 1 Never-married
#;-) 673 53 Local-gov Doctorate 4 Separated
#;-) 674 64 State-gov Assoc-acdm 12 Separated
#;-) 676 45 Without-pay Assoc-acdm 15 Divorced
#;-) 678 61 Federal-gov 11th 16 Separated
#;-) 679 71 Self-emp-inc 5th-6th 14 Married-AF-spouse
#;-) 680 42 Local-gov 9th 2 Married-spouse-absent
#;-) 681 46 Private 11th 10 Widowed
#;-) 682 37 Self-emp-inc Some-college 14 Married-spouse-absent
#;-) 685 72 Private Assoc-voc 5 Married-AF-spouse
#;-) 687 73 Private 1st-4th 13 Married-spouse-absent
#;-) 688 61 Federal-gov HS-grad 15 Married-AF-spouse
#;-) 689 89 Never-worked 1st-4th 6 Married-AF-spouse
#;-) 690 55 Never-worked Bachelors 1 Divorced
#;-) 692 65 Self-emp-inc 9th 7 Never-married
#;-) 693 32 Federal-gov 1st-4th 2 Married-AF-spouse
#;-) 694 82 Never-worked 12th 9 Separated
#;-) 696 27 Self-emp-not-inc 12th 4 Married-civ-spouse
#;-) 699 42 Never-worked Some-college 10 Married-spouse-absent
#;-) 700 69 Never-worked HS-grad 7 Married-spouse-absent
#;-) 701 54 Federal-gov 1st-4th 3 Separated
#;-) 702 44 Never-worked 10th 8 Widowed
#;-) 704 52 State-gov Assoc-acdm 3 Widowed
#;-) 705 51 Self-emp-not-inc Some-college 5 Married-civ-spouse
#;-) 707 66 Self-emp-not-inc Prof-school 3 Separated
#;-) 708 52 Never-worked 11th 6 Married-civ-spouse
#;-) 710 88 Self-emp-inc 10th 12 Separated
#;-) 712 51 Self-emp-not-inc 11th 5 Married-AF-spouse
#;-) 715 18 Without-pay 7th-8th 8 Married-spouse-absent
#;-) 717 58 Self-emp-not-inc 12th 10 Married-spouse-absent
#;-) 718 58 State-gov 5th-6th 1 Widowed
#;-) 719 56 Self-emp-not-inc 11th 4 Married-AF-spouse
#;-) 721 49 Self-emp-inc Assoc-acdm 11 Married-AF-spouse
#;-) 722 78 Federal-gov 5th-6th 15 Never-married
#;-) 723 33 Without-pay Assoc-acdm 4 Divorced
#;-) 725 51 State-gov Some-college 5 Married-civ-spouse
#;-) 729 47 Local-gov 10th 4 Divorced
#;-) 731 87 Self-emp-inc 5th-6th 11 Widowed
#;-) 733 84 Never-worked Assoc-acdm 13 Married-AF-spouse
#;-) 734 63 Self-emp-inc Some-college 15 Divorced
#;-) 735 76 Self-emp-inc Doctorate 10 Separated
#;-) 736 65 Self-emp-not-inc 1st-4th 16 Widowed
#;-) 738 45 Never-worked 12th 4 Never-married
#;-) 740 18 State-gov Preschool 10 Married-AF-spouse
#;-) 741 61 Never-worked 7th-8th 16 Separated
#;-) 745 30 Without-pay Some-college 16 Widowed
#;-) 748 67 Self-emp-inc Masters 6 Separated
#;-) 749 43 Self-emp-not-inc 7th-8th 3 Married-civ-spouse
#;-) 755 28 Self-emp-inc Masters 2 Married-AF-spouse
#;-) 756 68 Local-gov Some-college 8 Divorced
#;-) 757 47 Self-emp-not-inc Some-college 5 Separated
#;-) 759 28 State-gov 1st-4th 11 Never-married
#;-) 761 39 Local-gov 5th-6th 15 Married-spouse-absent
#;-) 762 34 Never-worked 10th 7 Separated
#;-) 763 22 Federal-gov Assoc-acdm 2 Never-married
#;-) 765 52 Self-emp-not-inc Prof-school 5 Married-civ-spouse
#;-) 766 39 State-gov 1st-4th 9 Married-spouse-absent
#;-) 767 80 Never-worked HS-grad 15 Married-civ-spouse
#;-) 769 52 Self-emp-inc HS-grad 9 Widowed
#;-) 770 47 State-gov 9th 8 Married-spouse-absent
#;-) 772 86 Self-emp-not-inc Bachelors 11 Married-spouse-absent
#;-) 775 19 Without-pay Preschool 10 Never-married
#;-) 776 40 Private Preschool 15 Separated
#;-) 777 38 Self-emp-inc 5th-6th 7 Separated
#;-) 778 36 Never-worked Doctorate 12 Separated
#;-) 779 26 Private 12th 1 Never-married
#;-) 783 49 Self-emp-not-inc 10th 2 Divorced
#;-) 784 65 Private 10th 14 Separated
#;-) 790 48 Self-emp-not-inc Assoc-voc 2 Widowed
#;-) 793 88 Federal-gov 7th-8th 10 Married-civ-spouse
#;-) 794 74 State-gov 12th 9 Divorced
#;-) 795 52 Private 12th 16 Never-married
#;-) 797 71 State-gov Bachelors 8 Never-married
#;-) 798 30 Without-pay Assoc-acdm 4 Never-married
#;-) 802 70 Local-gov Some-college 4 Married-AF-spouse
#;-) 804 58 Self-emp-inc 9th 10 Separated
#;-) 805 26 Local-gov 10th 4 Widowed
#;-) 806 54 Federal-gov 5th-6th 14 Married-civ-spouse
#;-) 807 71 Self-emp-not-inc 9th 1 Divorced
#;-) 808 41 Never-worked 12th 5 Separated
#;-) 809 31 Without-pay Preschool 11 Married-AF-spouse
#;-) 810 47 Never-worked Doctorate 14 Divorced
#;-) 811 79 Self-emp-inc 9th 3 Divorced
#;-) 812 57 Self-emp-inc Preschool 4 Never-married
#;-) 815 31 State-gov Preschool 1 Never-married
#;-) 816 65 Local-gov Masters 5 Divorced
#;-) 817 82 Self-emp-inc Prof-school 14 Married-civ-spouse
#;-) 819 43 Local-gov 12th 14 Married-spouse-absent
#;-) 825 88 State-gov Doctorate 11 Separated
#;-) 826 62 State-gov Masters 3 Married-AF-spouse
#;-) 830 34 Federal-gov 12th 12 Married-AF-spouse
#;-) 832 40 Without-pay Preschool 9 Never-married
#;-) 833 48 Self-emp-inc Prof-school 14 Married-civ-spouse
#;-) 834 55 State-gov Bachelors 9 Never-married
#;-) 838 22 Local-gov Preschool 8 Married-AF-spouse
#;-) 839 80 Never-worked 11th 16 Never-married
#;-) 843 33 Never-worked 9th 1 Married-spouse-absent
#;-) 844 23 Self-emp-inc 12th 15 Married-AF-spouse
#;-) 845 69 State-gov Bachelors 7 Divorced
#;-) 846 89 Local-gov 12th 13 Married-AF-spouse
#;-) 847 63 Local-gov Doctorate 14 Divorced
#;-) 848 25 Private 10th 6 Divorced
#;-) 849 60 Private Doctorate 7 Divorced
#;-) 850 41 Local-gov Assoc-acdm 15 Divorced
#;-) 851 22 Never-worked 9th 11 Never-married
#;-) 852 31 Federal-gov Masters 14 Separated
#;-) 854 21 Private 7th-8th 15 Widowed
#;-) 855 52 Self-emp-not-inc 7th-8th 14 Married-civ-spouse
#;-) 856 27 Self-emp-not-inc Preschool 8 Widowed
#;-) 860 43 Without-pay Assoc-acdm 1 Separated
#;-) 861 77 Local-gov Doctorate 10 Widowed
#;-) 864 34 Without-pay 1st-4th 4 Widowed
#;-) 865 22 State-gov Some-college 8 Separated
#;-) 866 49 Local-gov 9th 5 Married-spouse-absent
#;-) 867 19 Without-pay HS-grad 14 Widowed
#;-) 869 66 Private HS-grad 11 Widowed
#;-) 870 89 Self-emp-inc 7th-8th 16 Widowed
#;-) 872 35 Self-emp-not-inc 9th 14 Divorced
#;-) 873 43 Self-emp-not-inc 5th-6th 10 Married-spouse-absent
#;-) 874 47 Federal-gov Preschool 1 Married-AF-spouse
#;-) 875 86 Never-worked 12th 15 Married-civ-spouse
#;-) 878 73 Private Masters 13 Divorced
#;-) 879 18 Federal-gov Some-college 4 Married-civ-spouse
#;-) 884 27 Self-emp-not-inc Some-college 16 Married-civ-spouse
#;-) 886 25 Without-pay 10th 9 Never-married
#;-) 887 66 Self-emp-inc 5th-6th 8 Never-married
#;-) 888 86 Local-gov 5th-6th 15 Never-married
#;-) 889 56 Never-worked HS-grad 13 Separated
#;-) 890 39 Private Preschool 5 Divorced
#;-) 891 27 Never-worked Prof-school 11 Married-spouse-absent
#;-) 892 79 Local-gov 11th 2 Divorced
#;-) 893 82 Never-worked HS-grad 14 Widowed
#;-) 895 31 State-gov 5th-6th 11 Widowed
#;-) 896 88 Self-emp-not-inc 11th 12 Separated
#;-) 897 80 Private Masters 10 Divorced
#;-) 898 51 Federal-gov Some-college 13 Widowed
#;-) 901 35 Self-emp-not-inc Some-college 2 Divorced
#;-) 902 68 Local-gov 1st-4th 15 Married-AF-spouse
#;-) 903 84 Without-pay Bachelors 14 Never-married
#;-) 904 69 State-gov Masters 4 Married-AF-spouse
#;-) 906 54 Private Masters 15 Separated
#;-) 908 58 Local-gov HS-grad 4 Married-civ-spouse
#;-) 909 82 Self-emp-inc 5th-6th 12 Separated
#;-) 910 56 Without-pay Preschool 13 Married-spouse-absent
#;-) 911 32 Never-worked 5th-6th 2 Married-AF-spouse
#;-) 914 57 Self-emp-inc Doctorate 7 Never-married
#;-) 916 51 Never-worked Prof-school 14 Married-spouse-absent
#;-) 917 35 Private Some-college 4 Married-civ-spouse
#;-) 921 87 State-gov Assoc-acdm 16 Married-spouse-absent
#;-) 923 60 Federal-gov Some-college 16 Married-AF-spouse
#;-) 926 37 Without-pay 11th 6 Divorced
#;-) 927 64 Without-pay 7th-8th 10 Never-married
#;-) 928 58 Local-gov Prof-school 1 Married-civ-spouse
#;-) 929 31 Without-pay HS-grad 8 Widowed
#;-) 930 46 State-gov Doctorate 8 Never-married
#;-) 932 77 Never-worked Masters 7 Married-AF-spouse
#;-) 934 68 Federal-gov Prof-school 11 Divorced
#;-) 936 23 Private 9th 8 Divorced
#;-) 937 84 Federal-gov Doctorate 10 Never-married
#;-) 940 36 Local-gov 9th 15 Married-spouse-absent
#;-) 941 28 Local-gov 10th 11 Married-civ-spouse
#;-) 942 80 Never-worked 9th 14 Widowed
#;-) 944 28 Federal-gov 5th-6th 15 Separated
#;-) 945 44 Private 10th 2 Married-AF-spouse
#;-) 947 23 Federal-gov Masters 7 Married-AF-spouse
#;-) 948 72 Self-emp-not-inc Some-college 15 Divorced
#;-) 950 45 Self-emp-not-inc HS-grad 4 Married-spouse-absent
#;-) 951 46 Local-gov Assoc-acdm 7 Married-AF-spouse
#;-) 952 85 Self-emp-inc Bachelors 13 Never-married
#;-) 953 58 Private Assoc-acdm 14 Married-AF-spouse
#;-) 954 22 Federal-gov 12th 1 Married-civ-spouse
#;-) 956 45 Never-worked HS-grad 9 Separated
#;-) 958 77 Federal-gov Masters 4 Widowed
#;-) 960 78 Self-emp-not-inc 10th 2 Separated
#;-) 961 58 Never-worked Masters 10 Married-AF-spouse
#;-) 962 42 Private Doctorate 4 Married-AF-spouse
#;-) 965 88 Self-emp-inc Doctorate 13 Married-AF-spouse
#;-) 966 28 Without-pay Assoc-acdm 4 Married-AF-spouse
#;-) 967 32 Local-gov HS-grad 11 Married-spouse-absent
#;-) 968 90 Self-emp-inc 1st-4th 1 Widowed
#;-) 969 28 Never-worked Preschool 16 Separated
#;-) 970 50 Local-gov Prof-school 7 Married-spouse-absent
#;-) 971 90 Self-emp-not-inc Masters 2 Separated
#;-) 972 40 Private 10th 6 Separated
#;-) 977 41 State-gov Assoc-voc 14 Married-AF-spouse
#;-) 979 88 Federal-gov 9th 1 Separated
#;-) 981 20 Without-pay Assoc-voc 8 Never-married
#;-) 983 38 Federal-gov 9th 16 Married-civ-spouse
#;-) 984 79 Never-worked 11th 11 Never-married
#;-) 985 51 State-gov Assoc-acdm 16 Married-AF-spouse
#;-) 988 43 Self-emp-inc Some-college 1 Separated
#;-) 989 18 Private Masters 5 Married-civ-spouse
#;-) 992 52 Local-gov Some-college 13 Married-civ-spouse
#;-) 995 67 Private 5th-6th 11 Never-married
#;-) 997 50 Federal-gov 5th-6th 10 Married-AF-spouse
#;-) 998 41 Private 10th 4 Separated
#;-) 999 26 Self-emp-inc 9th 8 Separated
#;-) occupation relationship race sex capital_gain
#;-) 3 Protective-serv Wife Black Male 35297
#;-) 4 Handlers-cleaners Other-relative Asian-Pac-Islander Male 27074
#;-) 5 Machine-op-inspct Other-relative White Female 73785
#;-) 7 Adm-clerical Other-relative Other Female 19616
#;-) 8 Handlers-cleaners Husband Asian-Pac-Islander Male 91705
#;-) 10 Prof-specialty Not-in-family Asian-Pac-Islander Female 21279
#;-) 11 Tech-support Other-relative White Female 74141
#;-) 12 Priv-house-serv Not-in-family Amer-Indian-Eskimo Male 78936
#;-) 15 Machine-op-inspct Unmarried Amer-Indian-Eskimo Male 46990
#;-) 18 Tech-support Other-relative Asian-Pac-Islander Female 89330
#;-) 19 Adm-clerical Wife Amer-Indian-Eskimo Male 5799
#;-) 21 Craft-repair Own-child White Male 62346
#;-) 23 Priv-house-serv Own-child White Male 50968
#;-) 24 Sales Not-in-family Black Female 74735
#;-) 25 Farming-fishing Own-child Black Female 69634
#;-) 26 Armed-Forces Unmarried White Female 97981
#;-) 27 Tech-support Wife White Female 40317
#;-) 29 Machine-op-inspct Own-child Other Male 13838
#;-) 32 Handlers-cleaners Husband Other Female 28624
#;-) 34 Priv-house-serv Unmarried Asian-Pac-Islander Male 54771
#;-) 35 Transport-moving Own-child Black Male 81984
#;-) 40 Armed-Forces Own-child Other Female 67005
#;-) 41 Tech-support Wife Amer-Indian-Eskimo Male 89663
#;-) 42 Exec-managerial Not-in-family Other Male 50866
#;-) 43 Craft-repair Own-child Amer-Indian-Eskimo Male 67532
#;-) 45 Sales Unmarried Other Female 33363
#;-) 46 Tech-support Other-relative Amer-Indian-Eskimo Male 35913
#;-) 47 Tech-support Husband White Female 58234
#;-) 48 Sales Not-in-family Amer-Indian-Eskimo Female 96698
#;-) 49 Prof-specialty Other-relative Amer-Indian-Eskimo Female 45499
#;-) 50 Sales Other-relative White Male 39825
#;-) 51 Prof-specialty Wife Amer-Indian-Eskimo Male 50574
#;-) 52 Armed-Forces Not-in-family Black Male 53753
#;-) 54 Sales Wife Asian-Pac-Islander Male 81733
#;-) 55 Sales Own-child Asian-Pac-Islander Female 990
#;-) 58 Craft-repair Other-relative Other Female 89400
#;-) 59 Armed-Forces Husband Amer-Indian-Eskimo Male 52550
#;-) 61 Tech-support Husband Black Male 55035
#;-) 62 Farming-fishing Own-child Amer-Indian-Eskimo Female 93710
#;-) 63 Machine-op-inspct Not-in-family Amer-Indian-Eskimo Female 97595
#;-) 64 Exec-managerial Not-in-family Asian-Pac-Islander Female 1097
#;-) 66 Machine-op-inspct Unmarried White Male 6313
#;-) 67 Armed-Forces Unmarried Black Male 59067
#;-) 68 Farming-fishing Wife Black Female 17922
#;-) 69 Priv-house-serv Not-in-family White Female 98599
#;-) 70 Craft-repair Own-child Asian-Pac-Islander Female 25093
#;-) 71 Prof-specialty Husband Amer-Indian-Eskimo Female 93550
#;-) 72 Armed-Forces Wife Asian-Pac-Islander Male 28905
#;-) 73 Craft-repair Unmarried Amer-Indian-Eskimo Male 48850
#;-) 76 Armed-Forces Unmarried Amer-Indian-Eskimo Female 62887
#;-) 77 Tech-support Husband Other Female 48007
#;-) 80 Sales Unmarried Other Female 64063
#;-) 81 Other-service Unmarried Other Female 27366
#;-) 83 Transport-moving Unmarried Asian-Pac-Islander Male 80429
#;-) 84 Protective-serv Unmarried Black Female 57117
#;-) 85 Handlers-cleaners Other-relative Black Male 24621
#;-) 86 Protective-serv Husband Amer-Indian-Eskimo Female 62975
#;-) 88 Tech-support Husband Asian-Pac-Islander Male 31125
#;-) 90 Armed-Forces Unmarried Other Female 29357
#;-) 91 Tech-support Wife Other Male 35929
#;-) 92 Exec-managerial Not-in-family Other Male 66779
#;-) 93 Handlers-cleaners Unmarried Black Male 55717
#;-) 94 Craft-repair Not-in-family Black Female 80184
#;-) 96 Armed-Forces Own-child Other Male 52794
#;-) 97 Prof-specialty Husband Amer-Indian-Eskimo Female 27013
#;-) 101 Other-service Unmarried White Male 23484
#;-) 102 Exec-managerial Husband White Female 31713
#;-) 104 Machine-op-inspct Not-in-family Black Female 72581
#;-) 105 Exec-managerial Husband White Male 46563
#;-) 106 Prof-specialty Husband Amer-Indian-Eskimo Male 53761
#;-) 107 Handlers-cleaners Own-child Amer-Indian-Eskimo Female 29403
#;-) 109 Tech-support Husband White Male 70734
#;-) 111 Farming-fishing Other-relative Other Female 24588
#;-) 112 Adm-clerical Unmarried Asian-Pac-Islander Male 4258
#;-) 113 Machine-op-inspct Not-in-family Black Male 45669
#;-) 114 Farming-fishing Wife Asian-Pac-Islander Female 51453
#;-) 118 Handlers-cleaners Husband Amer-Indian-Eskimo Female 13804
#;-) 120 Craft-repair Husband Amer-Indian-Eskimo Female 82708
#;-) 121 Handlers-cleaners Unmarried Asian-Pac-Islander Male 54116
#;-) 122 Tech-support Wife Amer-Indian-Eskimo Male 50639
#;-) 124 Armed-Forces Own-child Amer-Indian-Eskimo Female 24850
#;-) 126 Machine-op-inspct Husband Black Male 31454
#;-) 127 Protective-serv Husband Amer-Indian-Eskimo Male 24587
#;-) 128 Prof-specialty Wife White Male 33047
#;-) 129 Farming-fishing Husband White Female 50639
#;-) 130 Transport-moving Other-relative Other Male 79728
#;-) 131 Priv-house-serv Unmarried White Female 75335
#;-) 134 Protective-serv Own-child Asian-Pac-Islander Male 12727
#;-) 136 Other-service Husband Asian-Pac-Islander Female 56485
#;-) 140 Handlers-cleaners Other-relative White Female 80239
#;-) 142 Exec-managerial Unmarried Amer-Indian-Eskimo Female 16904
#;-) 143 Tech-support Other-relative Amer-Indian-Eskimo Male 43678
#;-) 144 Adm-clerical Not-in-family Other Male 5406
#;-) 147 Priv-house-serv Other-relative Other Male 3718
#;-) 148 Craft-repair Wife White Male 62167
#;-) 150 Armed-Forces Husband White Female 76245
#;-) 151 Priv-house-serv Not-in-family Amer-Indian-Eskimo Female 17636
#;-) 152 Craft-repair Husband Black Male 76004
#;-) 153 Craft-repair Wife Black Male 37891
#;-) 154 Tech-support Other-relative Asian-Pac-Islander Male 41320
#;-) 157 Adm-clerical Not-in-family Asian-Pac-Islander Female 6581
#;-) 158 Handlers-cleaners Not-in-family Black Female 6355
#;-) 159 Tech-support Unmarried Black Female 96116
#;-) 162 Other-service Not-in-family Black Female 98978
#;-) 165 Craft-repair Not-in-family Black Male 47149
#;-) 166 Protective-serv Husband Other Female 79479
#;-) 168 Transport-moving Other-relative Asian-Pac-Islander Male 43845
#;-) 170 Prof-specialty Wife Black Male 72469
#;-) 171 Exec-managerial Other-relative White Male 11101
#;-) 175 Craft-repair Wife Amer-Indian-Eskimo Male 86415
#;-) 176 Exec-managerial Not-in-family Black Female 50639
#;-) 177 Priv-house-serv Own-child Black Female 50676
#;-) 180 Transport-moving Own-child Asian-Pac-Islander Male 81323
#;-) 181 Armed-Forces Unmarried Black Male 50976
#;-) 182 Exec-managerial Own-child Other Male 53540
#;-) 183 Adm-clerical Own-child White Male 57255
#;-) 185 Transport-moving Not-in-family White Female 76858
#;-) 186 Farming-fishing Other-relative Amer-Indian-Eskimo Female 2557
#;-) 188 Priv-house-serv Wife White Female 45446
#;-) 191 Adm-clerical Not-in-family White Female 54230
#;-) 193 Craft-repair Other-relative Asian-Pac-Islander Male 52344
#;-) 195 Other-service Not-in-family Black Male 39442
#;-) 196 Priv-house-serv Wife Other Female 84661
#;-) 197 Prof-specialty Own-child Amer-Indian-Eskimo Female 16916
#;-) 199 Protective-serv Not-in-family Asian-Pac-Islander Male 62705
#;-) 201 Other-service Husband Asian-Pac-Islander Male 38536
#;-) 203 Armed-Forces Own-child Amer-Indian-Eskimo Female 25348
#;-) 204 Armed-Forces Wife Black Male 45722
#;-) 205 Craft-repair Not-in-family Other Female 80924
#;-) 206 Tech-support Own-child Amer-Indian-Eskimo Female 5832
#;-) 207 Sales Wife Black Male 96845
#;-) 209 Farming-fishing Not-in-family Amer-Indian-Eskimo Female 96046
#;-) 210 Protective-serv Unmarried White Male 66088
#;-) 211 Craft-repair Other-relative Amer-Indian-Eskimo Female 17484
#;-) 212 Machine-op-inspct Own-child White Female 50048
#;-) 215 Priv-house-serv Wife White Male 62164
#;-) 216 Prof-specialty Husband Asian-Pac-Islander Male 41561
#;-) 218 Sales Wife Black Male 71183
#;-) 219 Exec-managerial Not-in-family Other Female 99134
#;-) 220 Handlers-cleaners Not-in-family Asian-Pac-Islander Female 79242
#;-) 221 Armed-Forces Wife Asian-Pac-Islander Male 48980
#;-) 222 Handlers-cleaners Other-relative Amer-Indian-Eskimo Female 61870
#;-) 223 Protective-serv Husband White Female 581
#;-) 225 Farming-fishing Other-relative Other Male 51994
#;-) 226 Farming-fishing Husband Asian-Pac-Islander Female 15873
#;-) 228 Armed-Forces Wife White Male 95603
#;-) 229 Craft-repair Not-in-family Asian-Pac-Islander Male 47646
#;-) 231 Priv-house-serv Husband Asian-Pac-Islander Female 34984
#;-) 232 Farming-fishing Other-relative White Female 21066
#;-) 234 Protective-serv Other-relative Asian-Pac-Islander Female 50159
#;-) 235 Craft-repair Husband Black Male 79715
#;-) 236 Protective-serv Unmarried Black Female 91370
#;-) 237 Priv-house-serv Own-child Other Female 44415
#;-) 238 Exec-managerial Unmarried Black Female 81817
#;-) 239 Tech-support Husband Black Female 24576
#;-) 241 Armed-Forces Other-relative Black Female 28535
#;-) 242 Prof-specialty Unmarried Black Female 31172
#;-) 243 Farming-fishing Own-child Amer-Indian-Eskimo Male 32040
#;-) 246 Priv-house-serv Wife Black Male 31242
#;-) 247 Transport-moving Not-in-family Other Male 15756
#;-) 255 Other-service Not-in-family Asian-Pac-Islander Male 25599
#;-) 257 Armed-Forces Unmarried Other Male 88917
#;-) 258 Craft-repair Unmarried White Male 25644
#;-) 259 Farming-fishing Own-child Asian-Pac-Islander Female 79776
#;-) 262 Armed-Forces Wife Black Female 81231
#;-) 263 Transport-moving Other-relative Other Female 62899
#;-) 264 Tech-support Not-in-family Amer-Indian-Eskimo Female 92489
#;-) 265 Priv-house-serv Own-child Amer-Indian-Eskimo Male 30269
#;-) 269 Priv-house-serv Wife Black Male 72695
#;-) 270 Tech-support Other-relative White Male 50639
#;-) 276 Other-service Not-in-family Asian-Pac-Islander Male 60706
#;-) 278 Machine-op-inspct Own-child Asian-Pac-Islander Female 50639
#;-) 279 Farming-fishing Not-in-family Amer-Indian-Eskimo Female 6375
#;-) 280 Handlers-cleaners Own-child Amer-Indian-Eskimo Female 13338
#;-) 281 Handlers-cleaners Other-relative Other Female 83913
#;-) 282 Adm-clerical Husband Amer-Indian-Eskimo Male 78539
#;-) 284 Craft-repair Husband Black Male 90247
#;-) 285 Transport-moving Unmarried Asian-Pac-Islander Male 40650
#;-) 286 Exec-managerial Other-relative Asian-Pac-Islander Male 57620
#;-) 295 Exec-managerial Husband Amer-Indian-Eskimo Female 57108
#;-) 296 Sales Not-in-family Amer-Indian-Eskimo Male 56109
#;-) 297 Priv-house-serv Own-child White Male 88605
#;-) 299 Sales Not-in-family Other Male 41871
#;-) 300 Protective-serv Wife Other Female 37188
#;-) 301 Transport-moving Wife White Male 38963
#;-) 302 Machine-op-inspct Unmarried Amer-Indian-Eskimo Female 59347
#;-) 303 Farming-fishing Own-child White Male 1277
#;-) 304 Tech-support Unmarried Other Female 24474
#;-) 307 Adm-clerical Not-in-family Amer-Indian-Eskimo Female 91820
#;-) 308 Transport-moving Not-in-family Other Female 4065
#;-) 311 Sales Husband Amer-Indian-Eskimo Female 33401
#;-) 313 Tech-support Not-in-family White Female 82421
#;-) 314 Craft-repair Wife Black Female 98687
#;-) 316 Other-service Unmarried Black Male 43474
#;-) 317 Protective-serv Wife Asian-Pac-Islander Female 82718
#;-) 318 Adm-clerical Other-relative Black Female 71944
#;-) 319 Protective-serv Husband Asian-Pac-Islander Female 27496
#;-) 321 Sales Wife Other Female 78957
#;-) 322 Handlers-cleaners Wife Asian-Pac-Islander Female 84466
#;-) 325 Transport-moving Other-relative Amer-Indian-Eskimo Female 69341
#;-) 326 Priv-house-serv Own-child Other Female 28079
#;-) 327 Prof-specialty Own-child White Male 9379
#;-) 328 Tech-support Unmarried Black Female 50639
#;-) 329 Exec-managerial Wife Black Female 85791
#;-) 331 Armed-Forces Other-relative Amer-Indian-Eskimo Female 16458
#;-) 332 Machine-op-inspct Not-in-family Asian-Pac-Islander Male 53346
#;-) 333 Prof-specialty Not-in-family Asian-Pac-Islander Male 44777
#;-) 334 Tech-support Other-relative White Female 24744
#;-) 335 Tech-support Husband Asian-Pac-Islander Female 66348
#;-) 337 Sales Own-child Other Female 65649
#;-) 339 Exec-managerial Husband Amer-Indian-Eskimo Male 33649
#;-) 343 Protective-serv Other-relative White Male 77622
#;-) 344 Armed-Forces Husband Asian-Pac-Islander Male 52362
#;-) 347 Adm-clerical Husband Amer-Indian-Eskimo Female 71601
#;-) 348 Handlers-cleaners Husband White Female 64709
#;-) 349 Craft-repair Unmarried Amer-Indian-Eskimo Female 20296
#;-) 351 Armed-Forces Wife White Male 4167
#;-) 353 Tech-support Husband White Male 68350
#;-) 355 Protective-serv Husband White Male 41831
#;-) 356 Transport-moving Own-child White Female 67284
#;-) 357 Transport-moving Not-in-family White Female 35007
#;-) 358 Handlers-cleaners Own-child Black Female 61158
#;-) 359 Adm-clerical Own-child Other Female 65568
#;-) 363 Prof-specialty Other-relative Black Male 81974
#;-) 364 Transport-moving Own-child White Female 87078
#;-) 368 Transport-moving Unmarried Asian-Pac-Islander Male 4757
#;-) 371 Protective-serv Not-in-family White Female 33636
#;-) 372 Armed-Forces Other-relative Other Female 71503
#;-) 375 Priv-house-serv Own-child Black Male 60271
#;-) 376 Adm-clerical Other-relative Black Male 84810
#;-) 377 Tech-support Other-relative White Female 2770
#;-) 378 Protective-serv Husband Black Male 56489
#;-) 379 Farming-fishing Husband Black Male 57602
#;-) 381 Prof-specialty Unmarried Black Male 62321
#;-) 383 Adm-clerical Wife Amer-Indian-Eskimo Male 6640
#;-) 385 Priv-house-serv Not-in-family Black Male 50639
#;-) 386 Transport-moving Husband Asian-Pac-Islander Female 58445
#;-) 388 Craft-repair Unmarried Other Female 28439
#;-) 389 Adm-clerical Unmarried White Female 14044
#;-) 390 Prof-specialty Other-relative Amer-Indian-Eskimo Female 91023
#;-) 392 Handlers-cleaners Not-in-family Black Male 34066
#;-) 393 Adm-clerical Not-in-family Amer-Indian-Eskimo Male 45403
#;-) 394 Machine-op-inspct Husband Black Male 75203
#;-) 397 Transport-moving Not-in-family Amer-Indian-Eskimo Female 31710
#;-) 398 Craft-repair Not-in-family Other Male 60404
#;-) 399 Priv-house-serv Own-child Black Male 82802
#;-) 401 Protective-serv Not-in-family Amer-Indian-Eskimo Male 32105
#;-) 402 Priv-house-serv Not-in-family Amer-Indian-Eskimo Female 10791
#;-) 403 Adm-clerical Husband Black Male 55374
#;-) 404 Handlers-cleaners Wife Other Male 24992
#;-) 405 Priv-house-serv Unmarried Amer-Indian-Eskimo Male 57080
#;-) 406 Craft-repair Other-relative Other Female 48413
#;-) 408 Protective-serv Unmarried Other Female 4558
#;-) 409 Tech-support Husband Other Male 3041
#;-) 411 Other-service Own-child Asian-Pac-Islander Male 23596
#;-) 412 Farming-fishing Other-relative White Female 89601
#;-) 413 Handlers-cleaners Not-in-family Asian-Pac-Islander Male 95636
#;-) 414 Armed-Forces Unmarried White Female 21109
#;-) 415 Protective-serv Wife Asian-Pac-Islander Male 83126
#;-) 417 Sales Own-child Asian-Pac-Islander Female 50639
#;-) 420 Other-service Other-relative Asian-Pac-Islander Female 50668
#;-) 421 Machine-op-inspct Unmarried Asian-Pac-Islander Female 57588
#;-) 422 Handlers-cleaners Own-child Asian-Pac-Islander Male 50639
#;-) 423 Adm-clerical Unmarried Black Male 73738
#;-) 425 Craft-repair Unmarried Amer-Indian-Eskimo Female 90631
#;-) 426 Armed-Forces Other-relative Asian-Pac-Islander Female 44495
#;-) 427 Handlers-cleaners Wife White Female 43345
#;-) 428 Armed-Forces Husband Asian-Pac-Islander Female 64071
#;-) 429 Prof-specialty Not-in-family Black Male 44399
#;-) 430 Other-service Unmarried White Female 14150
#;-) 431 Armed-Forces Not-in-family Black Male 50639
#;-) 432 Craft-repair Unmarried Black Male 51050
#;-) 433 Prof-specialty Other-relative Other Female 85453
#;-) 434 Transport-moving Wife Other Female 92619
#;-) 435 Transport-moving Other-relative Amer-Indian-Eskimo Male 91200
#;-) 436 Priv-house-serv Own-child Asian-Pac-Islander Male 68820
#;-) 437 Tech-support Not-in-family White Female 49230
#;-) 438 Protective-serv Other-relative Asian-Pac-Islander Female 50639
#;-) 441 Transport-moving Unmarried Asian-Pac-Islander Female 52072
#;-) 442 Adm-clerical Wife White Male 7723
#;-) 443 Sales Unmarried Other Female 92714
#;-) 445 Armed-Forces Unmarried Asian-Pac-Islander Male 43315
#;-) 447 Machine-op-inspct Unmarried Amer-Indian-Eskimo Female 12025
#;-) 448 Prof-specialty Own-child Asian-Pac-Islander Male 52039
#;-) 449 Adm-clerical Not-in-family Other Female 127
#;-) 450 Tech-support Other-relative Asian-Pac-Islander Female 25723
#;-) 451 Machine-op-inspct Husband Black Female 87065
#;-) 452 Other-service Own-child Black Male 50614
#;-) 453 Armed-Forces Own-child Other Male 5755
#;-) 454 Farming-fishing Not-in-family Amer-Indian-Eskimo Male 60604
#;-) 455 Priv-house-serv Own-child Other Male 76369
#;-) 457 Farming-fishing Other-relative White Male 50639
#;-) 458 Armed-Forces Wife Amer-Indian-Eskimo Female 57430
#;-) 460 Priv-house-serv Other-relative Black Female 96526
#;-) 462 Exec-managerial Unmarried Black Male 71144
#;-) 464 Farming-fishing Other-relative Black Male 51220
#;-) 471 Sales Unmarried Black Male 54500
#;-) 472 Tech-support Own-child Amer-Indian-Eskimo Male 50639
#;-) 474 Machine-op-inspct Other-relative Amer-Indian-Eskimo Male 32048
#;-) 478 Transport-moving Unmarried White Female 65392
#;-) 479 Handlers-cleaners Wife Amer-Indian-Eskimo Male 6575
#;-) 481 Exec-managerial Own-child Asian-Pac-Islander Male 36529
#;-) 482 Sales Husband Other Female 74688
#;-) 483 Sales Own-child Amer-Indian-Eskimo Male 32611
#;-) 485 Farming-fishing Husband Asian-Pac-Islander Female 14786
#;-) 486 Craft-repair Not-in-family Other Male 47496
#;-) 487 Machine-op-inspct Unmarried White Male 78806
#;-) 490 Farming-fishing Husband Asian-Pac-Islander Female 81315
#;-) 493 Exec-managerial Own-child Amer-Indian-Eskimo Female 5118
#;-) 495 Transport-moving Unmarried Amer-Indian-Eskimo Female 419
#;-) 496 Prof-specialty Not-in-family Asian-Pac-Islander Female 82501
#;-) 498 Exec-managerial Not-in-family Asian-Pac-Islander Female 39260
#;-) 499 Machine-op-inspct Husband Amer-Indian-Eskimo Female 39414
#;-) 500 Tech-support Not-in-family White Female 50639
#;-) 501 Farming-fishing Unmarried Amer-Indian-Eskimo Male 63341
#;-) 502 Machine-op-inspct Own-child White Female 6217
#;-) 503 Transport-moving Unmarried White Male 79297
#;-) 505 Priv-house-serv Other-relative Amer-Indian-Eskimo Female 87674
#;-) 509 Handlers-cleaners Other-relative Black Male 22147
#;-) 510 Tech-support Wife Asian-Pac-Islander Male 78296
#;-) 512 Armed-Forces Husband Other Male 13339
#;-) 514 Protective-serv Wife Other Female 70882
#;-) 515 Machine-op-inspct Not-in-family White Male 58404
#;-) 516 Transport-moving Unmarried Asian-Pac-Islander Female 71780
#;-) 518 Other-service Other-relative Asian-Pac-Islander Male 34295
#;-) 519 Sales Unmarried Black Male 44316
#;-) 521 Armed-Forces Other-relative Black Male 12756
#;-) 525 Prof-specialty Own-child Asian-Pac-Islander Female 7234
#;-) 526 Tech-support Unmarried White Male 3233
#;-) 527 Machine-op-inspct Not-in-family White Female 31097
#;-) 530 Tech-support Wife Asian-Pac-Islander Male 15939
#;-) 531 Tech-support Wife Other Female 30616
#;-) 532 Craft-repair Wife Asian-Pac-Islander Male 66894
#;-) 535 Protective-serv Not-in-family Black Female 72612
#;-) 536 Adm-clerical Other-relative Other Male 61586
#;-) 538 Armed-Forces Not-in-family Amer-Indian-Eskimo Female 50639
#;-) 539 Adm-clerical Own-child Other Female 67041
#;-) 540 Adm-clerical Unmarried Amer-Indian-Eskimo Female 65616
#;-) 542 Machine-op-inspct Wife Asian-Pac-Islander Female 99257
#;-) 544 Priv-house-serv Own-child Other Female 99411
#;-) 545 Craft-repair Other-relative Black Male 90512
#;-) 547 Craft-repair Not-in-family Black Female 55796
#;-) 548 Prof-specialty Not-in-family Other Male 47488
#;-) 550 Priv-house-serv Wife Other Female 91877
#;-) 551 Transport-moving Unmarried Asian-Pac-Islander Female 31607
#;-) 552 Tech-support Not-in-family Other Male 5104
#;-) 553 Machine-op-inspct Wife Other Female 5741
#;-) 555 Craft-repair Husband Asian-Pac-Islander Male 70166
#;-) 556 Other-service Wife White Female 56881
#;-) 557 Tech-support Other-relative White Female 93928
#;-) 558 Handlers-cleaners Husband White Female 232
#;-) 560 Farming-fishing Husband Amer-Indian-Eskimo Male 14436
#;-) 561 Protective-serv Husband Amer-Indian-Eskimo Female 72272
#;-) 562 Exec-managerial Own-child White Male 33108
#;-) 563 Handlers-cleaners Unmarried White Female 58294
#;-) 565 Exec-managerial Unmarried Other Female 56791
#;-) 566 Craft-repair Wife Asian-Pac-Islander Male 60255
#;-) 567 Adm-clerical Husband Amer-Indian-Eskimo Female 6757
#;-) 568 Machine-op-inspct Husband White Male 50639
#;-) 570 Transport-moving Husband White Male 39129
#;-) 572 Farming-fishing Not-in-family Amer-Indian-Eskimo Male 54826
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#;-) 577 Priv-house-serv Wife Other Male 58166
#;-) 578 Handlers-cleaners Wife Other Male 38357
#;-) 579 Armed-Forces Unmarried Amer-Indian-Eskimo Female 37124
#;-) 581 Prof-specialty Not-in-family Other Male 75097
#;-) 584 Tech-support Husband Black Male 98314
#;-) 586 Exec-managerial Own-child Amer-Indian-Eskimo Male 18170
#;-) 587 Tech-support Not-in-family Other Female 29029
#;-) 588 Machine-op-inspct Other-relative Asian-Pac-Islander Female 14210
#;-) 590 Exec-managerial Unmarried Amer-Indian-Eskimo Female 94139
#;-) 592 Protective-serv Wife White Female 94306
#;-) 593 Sales Wife Asian-Pac-Islander Male 3747
#;-) 594 Handlers-cleaners Husband Amer-Indian-Eskimo Male 18353
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#;-) 599 Armed-Forces Wife Black Female 57692
#;-) 601 Machine-op-inspct Wife Black Female 50639
#;-) 602 Sales Other-relative Amer-Indian-Eskimo Female 10908
#;-) 605 Handlers-cleaners Unmarried Asian-Pac-Islander Female 49788
#;-) 606 Adm-clerical Own-child Black Female 11127
#;-) 607 Tech-support Husband Asian-Pac-Islander Male 50639
#;-) 609 Priv-house-serv Unmarried White Male 32341
#;-) 612 Adm-clerical Husband Other Male 91447
#;-) 614 Transport-moving Not-in-family White Male 76304
#;-) 615 Handlers-cleaners Other-relative Asian-Pac-Islander Female 25712
#;-) 616 Sales Unmarried Black Male 89451
#;-) 618 Sales Husband Amer-Indian-Eskimo Male 41270
#;-) 620 Protective-serv Unmarried Other Male 55867
#;-) 621 Other-service Wife Asian-Pac-Islander Female 80793
#;-) 622 Prof-specialty Own-child Asian-Pac-Islander Female 97939
#;-) 623 Sales Husband Black Male 83630
#;-) 626 Adm-clerical Husband Black Male 30881
#;-) 627 Prof-specialty Not-in-family Other Female 75914
#;-) 628 Priv-house-serv Husband Amer-Indian-Eskimo Female 31475
#;-) 629 Priv-house-serv Own-child Other Male 75561
#;-) 630 Other-service Unmarried Other Male 33287
#;-) 631 Armed-Forces Own-child White Female 47221
#;-) 632 Armed-Forces Wife White Male 27637
#;-) 634 Transport-moving Other-relative Other Male 14827
#;-) 637 Sales Unmarried Black Male 75734
#;-) 638 Exec-managerial Husband Other Female 63494
#;-) 641 Machine-op-inspct Own-child Amer-Indian-Eskimo Male 45581
#;-) 643 Adm-clerical Wife Black Female 84893
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#;-) 646 Handlers-cleaners Wife White Female 56881
#;-) 647 Exec-managerial Unmarried Other Male 53290
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#;-) 649 Farming-fishing Unmarried Other Male 85853
#;-) 650 Other-service Other-relative White Female 68143
#;-) 651 Craft-repair Wife Other Female 12023
#;-) 652 Farming-fishing Husband White Female 9715
#;-) 653 Adm-clerical Other-relative Other Female 81235
#;-) 654 Handlers-cleaners Unmarried Other Male 47691
#;-) 655 Handlers-cleaners Not-in-family White Female 79520
#;-) 656 Machine-op-inspct Not-in-family Other Female 8162
#;-) 660 Sales Husband White Male 12320
#;-) 661 Exec-managerial Not-in-family Asian-Pac-Islander Female 28240
#;-) 662 Handlers-cleaners Not-in-family Black Female 74645
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#;-) 664 Transport-moving Wife Amer-Indian-Eskimo Female 29307
#;-) 665 Exec-managerial Other-relative Black Male 91954
#;-) 667 Farming-fishing Husband Amer-Indian-Eskimo Female 83094
#;-) 668 Protective-serv Other-relative Asian-Pac-Islander Female 29318
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#;-) 671 Adm-clerical Unmarried Other Male 34472
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#;-) 673 Protective-serv Wife Amer-Indian-Eskimo Male 40989
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#;-) 681 Machine-op-inspct Other-relative Asian-Pac-Islander Male 9477
#;-) 682 Exec-managerial Wife Other Female 58153
#;-) 685 Handlers-cleaners Not-in-family White Female 19196
#;-) 687 Adm-clerical Wife Other Female 6423
#;-) 688 Transport-moving Other-relative Asian-Pac-Islander Female 72727
#;-) 689 Handlers-cleaners Other-relative White Female 34884
#;-) 690 Priv-house-serv Own-child Other Female 55510
#;-) 692 Prof-specialty Not-in-family Other Male 54441
#;-) 693 Other-service Husband Amer-Indian-Eskimo Female 50265
#;-) 694 Exec-managerial Unmarried White Female 58114
#;-) 696 Adm-clerical Own-child Other Female 42723
#;-) 699 Exec-managerial Other-relative Other Female 42061
#;-) 700 Prof-specialty Not-in-family Black Male 77590
#;-) 701 Adm-clerical Husband White Female 18098
#;-) 702 Transport-moving Own-child Black Male 20265
#;-) 704 Farming-fishing Own-child Other Male 25503
#;-) 705 Tech-support Not-in-family White Male 31317
#;-) 707 Handlers-cleaners Husband White Male 66370
#;-) 708 Exec-managerial Not-in-family White Female 64105
#;-) 710 Other-service Husband Black Female 55484
#;-) 712 Handlers-cleaners Wife Asian-Pac-Islander Female 29201
#;-) 715 Exec-managerial Own-child Black Male 24261
#;-) 717 Machine-op-inspct Own-child White Male 67696
#;-) 718 Craft-repair Unmarried White Female 47973
#;-) 719 Priv-house-serv Own-child Amer-Indian-Eskimo Female 92226
#;-) 721 Armed-Forces Unmarried White Female 73123
#;-) 722 Adm-clerical Own-child Amer-Indian-Eskimo Female 55333
#;-) 723 Transport-moving Unmarried White Female 94024
#;-) 725 Craft-repair Husband Asian-Pac-Islander Male 89357
#;-) 729 Protective-serv Wife Amer-Indian-Eskimo Female 91407
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#;-) 738 Handlers-cleaners Husband Amer-Indian-Eskimo Male 55478
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#;-) 748 Transport-moving Husband Asian-Pac-Islander Female 91688
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#;-) 772 Craft-repair Wife White Female 56316
#;-) 775 Protective-serv Unmarried White Male 49479
#;-) 776 Sales Other-relative Asian-Pac-Islander Female 5340
#;-) 777 Handlers-cleaners Own-child Amer-Indian-Eskimo Male 50639
#;-) 778 Exec-managerial Husband Amer-Indian-Eskimo Male 9210
#;-) 779 Exec-managerial Unmarried Asian-Pac-Islander Male 18098
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#;-) 794 Sales Husband Black Female 48872
#;-) 795 Priv-house-serv Unmarried Other Male 62285
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#;-) 817 Prof-specialty Own-child Other Male 23542
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#;-) 825 Priv-house-serv Unmarried Asian-Pac-Islander Male 49799
#;-) 826 Transport-moving Husband Other Female 69076
#;-) 830 Craft-repair Not-in-family Other Male 61163
#;-) 832 Armed-Forces Other-relative White Female 61659
#;-) 833 Priv-house-serv Other-relative Amer-Indian-Eskimo Female 50639
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#;-) 847 Transport-moving Unmarried Other Female 91557
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#;-) 873 Farming-fishing Not-in-family Black Female 56576
#;-) 874 Other-service Husband Black Female 18434
#;-) 875 Prof-specialty Own-child Amer-Indian-Eskimo Female 52485
#;-) 878 Exec-managerial Own-child Amer-Indian-Eskimo Male 1569
#;-) 879 Craft-repair Wife Amer-Indian-Eskimo Male 72018
#;-) 884 Prof-specialty Unmarried Other Male 53247
#;-) 886 Exec-managerial Other-relative Asian-Pac-Islander Male 4494
#;-) 887 Transport-moving Unmarried Other Male 24992
#;-) 888 Machine-op-inspct Other-relative Black Male 18557
#;-) 889 Farming-fishing Own-child Amer-Indian-Eskimo Female 40766
#;-) 890 Adm-clerical Own-child Asian-Pac-Islander Female 83041
#;-) 891 Exec-managerial Unmarried Amer-Indian-Eskimo Male 81367
#;-) 892 Tech-support Own-child Other Male 41924
#;-) 893 Protective-serv Other-relative Amer-Indian-Eskimo Male 45219
#;-) 895 Adm-clerical Wife Other Female 16780
#;-) 896 Craft-repair Unmarried Asian-Pac-Islander Female 53570
#;-) 897 Armed-Forces Husband Asian-Pac-Islander Male 71606
#;-) 898 Craft-repair Not-in-family White Male 1536
#;-) 901 Protective-serv Other-relative Black Female 96375
#;-) 902 Machine-op-inspct Not-in-family Asian-Pac-Islander Female 4379
#;-) 903 Machine-op-inspct Wife Other Female 53435
#;-) 904 Other-service Other-relative Other Female 39927
#;-) 906 Tech-support Not-in-family Other Female 4509
#;-) 908 Farming-fishing Not-in-family White Male 21474
#;-) 909 Craft-repair Wife White Female 95518
#;-) 910 Machine-op-inspct Unmarried Amer-Indian-Eskimo Male 41812
#;-) 911 Exec-managerial Wife Black Male 51570
#;-) 914 Tech-support Husband Black Female 88852
#;-) 916 Tech-support Wife Black Male 49953
#;-) 917 Armed-Forces Wife Other Male 24291
#;-) 921 Other-service Unmarried White Female 60635
#;-) 923 Adm-clerical Husband Other Male 10909
#;-) 926 Protective-serv Own-child Black Female 54800
#;-) 927 Craft-repair Not-in-family White Male 29845
#;-) 928 Machine-op-inspct Not-in-family White Male 33685
#;-) 929 Craft-repair Unmarried Other Female 80187
#;-) 930 Craft-repair Wife Black Male 55872
#;-) 932 Tech-support Husband Amer-Indian-Eskimo Female 33419
#;-) 934 Tech-support Other-relative White Female 36268
#;-) 936 Exec-managerial Wife Black Male 3020
#;-) 937 Craft-repair Other-relative Other Male 93439
#;-) 940 Sales Not-in-family Asian-Pac-Islander Female 12196
#;-) 941 Armed-Forces Other-relative Asian-Pac-Islander Female 31391
#;-) 942 Tech-support Other-relative White Male 23775
#;-) 944 Armed-Forces Other-relative Other Female 64562
#;-) 945 Protective-serv Wife White Male 16932
#;-) 947 Adm-clerical Other-relative Amer-Indian-Eskimo Male 50639
#;-) 948 Machine-op-inspct Husband White Female 50639
#;-) 950 Exec-managerial Unmarried Black Female 51941
#;-) 951 Machine-op-inspct Husband Other Female 26542
#;-) 952 Machine-op-inspct Wife Asian-Pac-Islander Male 5268
#;-) 953 Adm-clerical Not-in-family Other Female 67434
#;-) 954 Sales Wife Black Male 10236
#;-) 956 Machine-op-inspct Not-in-family White Male 50639
#;-) 958 Transport-moving Unmarried Black Female 50639
#;-) 960 Prof-specialty Husband Other Male 28237
#;-) 961 Handlers-cleaners Husband Black Male 11999
#;-) 962 Handlers-cleaners Other-relative Asian-Pac-Islander Male 42342
#;-) 965 Protective-serv Own-child Amer-Indian-Eskimo Female 13511
#;-) 966 Armed-Forces Not-in-family Black Female 80618
#;-) 967 Other-service Not-in-family Other Male 72117
#;-) 968 Handlers-cleaners Unmarried White Female 21162
#;-) 969 Handlers-cleaners Not-in-family Other Female 79463
#;-) 970 Other-service Unmarried White Male 97097
#;-) 971 Protective-serv Unmarried White Male 93341
#;-) 972 Adm-clerical Unmarried Asian-Pac-Islander Male 17210
#;-) 977 Other-service Own-child White Female 17621
#;-) 979 Armed-Forces Not-in-family Amer-Indian-Eskimo Male 24999
#;-) 981 Adm-clerical Not-in-family White Female 85388
#;-) 983 Sales Unmarried Asian-Pac-Islander Female 86990
#;-) 984 Craft-repair Wife Other Female 20
#;-) 985 Tech-support Wife Other Female 92879
#;-) 988 Farming-fishing Own-child Amer-Indian-Eskimo Male 86915
#;-) 989 Handlers-cleaners Unmarried White Female 54365
#;-) 992 Craft-repair Wife White Female 57902
#;-) 995 Prof-specialty Other-relative Other Male 15650
#;-) 997 Prof-specialty Wife Other Female 68672
#;-) 998 Farming-fishing Not-in-family White Female 50664
#;-) 999 Other-service Wife Amer-Indian-Eskimo Male 85324
#;-) capital_loss hours_per_week native_country income
#;-) 3 15093.0 98 Hungary <=50K
#;-) 4 40203.0 48 South <=50K
#;-) 5 2056.0 4 Haiti <=50K
#;-) 7 51961.0 15 Cambodia <=50K
#;-) 8 46300.0 96 Philippines <=50K
#;-) 10 52751.0 11 Thailand <=50K
#;-) 11 75593.0 35 Holand-Netherlands <=50K
#;-) 12 7469.0 81 United-States <=50K
#;-) 15 89927.0 88 Italy >50K
#;-) 18 61307.0 48 Jamaica <=50K
#;-) 19 95362.0 2 Haiti <=50K
#;-) 21 31387.0 70 Mexico >50K
#;-) 23 54995.0 50 Greece <=50K
#;-) 24 55714.0 90 Hong <=50K
#;-) 25 85711.0 16 China <=50K
#;-) 26 7525.0 61 Hong <=50K
#;-) 27 99095.0 71 China <=50K
#;-) 29 84470.0 6 Taiwan <=50K
#;-) 32 10235.0 87 India >50K
#;-) 34 20845.0 41 Japan <=50K
#;-) 35 30056.0 8 Greece >50K
#;-) 40 29258.0 84 Laos >50K
#;-) 41 49182.0 40 Ecuador <=50K
#;-) 42 36206.0 3 Scotland <=50K
#;-) 43 49469.0 49 Honduras >50K
#;-) 45 78853.0 74 India <=50K
#;-) 46 28736.0 7 Ireland >50K
#;-) 47 3780.0 80 Thailand <=50K
#;-) 48 37719.0 82 Philippines <=50K
#;-) 49 53845.0 19 Canada <=50K
#;-) 50 29346.0 21 Japan <=50K
#;-) 51 3307.0 94 Columbia <=50K
#;-) 52 91887.0 9 Poland <=50K
#;-) 54 25911.0 63 Guatemala <=50K
#;-) 55 70820.0 3 Poland <=50K
#;-) 58 73542.0 68 Nicaragua <=50K
#;-) 59 5175.0 13 Haiti <=50K
#;-) 61 19377.0 83 Peru <=50K
#;-) 62 58012.0 61 France <=50K
#;-) 63 11087.0 16 Vietnam <=50K
#;-) 64 54782.0 11 Laos <=50K
#;-) 66 26286.0 74 Laos <=50K
#;-) 67 10133.0 54 Cambodia >50K
#;-) 68 31972.0 91 Iran <=50K
#;-) 69 19981.0 43 France <=50K
#;-) 70 41510.0 83 Iran <=50K
#;-) 71 10875.0 15 Holand-Netherlands <=50K
#;-) 72 7230.0 59 Germany <=50K
#;-) 73 76751.0 87 Hong <=50K
#;-) 76 29862.0 78 Poland <=50K
#;-) 77 30363.0 38 Germany <=50K
#;-) 80 79564.0 41 Nicaragua <=50K
#;-) 81 51081.0 13 Canada <=50K
#;-) 83 45772.0 95 Cambodia <=50K
#;-) 84 97341.0 84 Guatemala >50K
#;-) 85 44098.0 36 Vietnam <=50K
#;-) 86 31269.0 6 Haiti <=50K
#;-) 88 95982.0 31 Mexico <=50K
#;-) 90 46900.0 94 United-States >50K
#;-) 91 42842.0 51 Ireland <=50K
#;-) 92 29797.0 33 Mexico <=50K
#;-) 93 66925.0 11 Jamaica >50K
#;-) 94 96509.0 40 Yugoslavia <=50K
#;-) 96 87986.0 53 Italy >50K
#;-) 97 70825.0 84 Honduras <=50K
#;-) 101 51902.0 27 Poland >50K
#;-) 102 89519.0 81 Peru <=50K
#;-) 104 52344.0 74 Haiti <=50K
#;-) 105 23228.0 3 Trinadad&Tobago <=50K
#;-) 106 81272.0 52 Japan >50K
#;-) 107 84859.0 24 Holand-Netherlands <=50K
#;-) 109 5109.0 5 Peru <=50K
#;-) 111 9695.0 99 Cambodia <=50K
#;-) 112 89982.0 47 Greece >50K
#;-) 113 44045.0 34 Thailand <=50K
#;-) 114 67216.0 34 Thailand <=50K
#;-) 118 25820.0 39 France >50K
#;-) 120 72812.0 25 Ireland >50K
#;-) 121 86239.0 34 United-States <=50K
#;-) 122 56561.0 61 Laos <=50K
#;-) 124 60361.0 15 Iran <=50K
#;-) 126 27767.0 55 Haiti >50K
#;-) 127 49126.0 79 Taiwan <=50K
#;-) 128 53053.0 68 El-Salvador <=50K
#;-) 129 80224.0 48 Haiti <=50K
#;-) 130 11227.0 16 Nicaragua <=50K
#;-) 131 52372.0 72 China >50K
#;-) 134 44624.0 83 Dominican-Republic <=50K
#;-) 136 48896.5 94 Hong <=50K
#;-) 140 10881.0 70 Honduras <=50K
#;-) 142 97691.0 86 Guatemala <=50K
#;-) 143 21763.0 58 Yugoslavia >50K
#;-) 144 1511.0 97 South <=50K
#;-) 147 48896.5 35 Columbia <=50K
#;-) 148 57273.0 48 Taiwan <=50K
#;-) 150 27530.0 13 Cambodia <=50K
#;-) 151 89441.0 6 Vietnam <=50K
#;-) 152 18396.0 71 Japan >50K
#;-) 153 54137.0 78 Ireland >50K
#;-) 154 83433.0 1 Japan <=50K
#;-) 157 48896.5 16 Peru <=50K
#;-) 158 25623.0 85 Iran <=50K
#;-) 159 12840.0 86 China <=50K
#;-) 162 34218.0 73 Hungary <=50K
#;-) 165 99113.0 43 Hungary >50K
#;-) 166 37293.0 81 Cuba <=50K
#;-) 168 37729.0 92 China >50K
#;-) 170 53647.0 48 Japan <=50K
#;-) 171 48896.5 76 Nicaragua >50K
#;-) 175 58837.0 3 Laos >50K
#;-) 176 50909.0 66 Portugal >50K
#;-) 177 57999.0 48 France <=50K
#;-) 180 97633.0 30 Jamaica >50K
#;-) 181 6279.0 96 Puerto-Rico >50K
#;-) 182 5075.0 80 Hong >50K
#;-) 183 99305.0 2 Germany <=50K
#;-) 185 48958.0 48 El-Salvador <=50K
#;-) 186 48896.5 32 Germany >50K
#;-) 188 85591.0 32 Laos <=50K
#;-) 191 39157.0 39 Outlying-US(Guam-USVI-etc) <=50K
#;-) 193 81921.0 20 Honduras <=50K
#;-) 195 99944.0 73 Cuba <=50K
#;-) 196 42733.0 59 Holand-Netherlands >50K
#;-) 197 62865.0 66 Scotland <=50K
#;-) 199 43786.0 82 Dominican-Republic <=50K
#;-) 201 60348.0 62 Ireland <=50K
#;-) 203 72625.0 48 Ecuador >50K
#;-) 204 12674.0 45 Guatemala <=50K
#;-) 205 76010.0 19 India <=50K
#;-) 206 29031.0 29 Cuba <=50K
#;-) 207 16513.0 67 Iran <=50K
#;-) 209 92888.0 63 Iran <=50K
#;-) 210 71348.0 95 Cuba <=50K
#;-) 211 6529.0 70 South <=50K
#;-) 212 11568.0 24 Poland <=50K
#;-) 215 78049.0 63 Outlying-US(Guam-USVI-etc) <=50K
#;-) 216 84568.0 73 Hungary >50K
#;-) 218 94075.0 71 Taiwan <=50K
#;-) 219 53966.0 78 India <=50K
#;-) 220 42486.0 55 France <=50K
#;-) 221 92184.0 40 El-Salvador <=50K
#;-) 222 37720.0 48 Ireland <=50K
#;-) 223 71528.0 69 Haiti <=50K
#;-) 225 26971.0 35 Germany <=50K
#;-) 226 18896.0 13 Peru <=50K
#;-) 228 49449.0 48 Portugal <=50K
#;-) 229 78382.0 22 Yugoslavia <=50K
#;-) 231 63505.0 70 United-States >50K
#;-) 232 62203.0 52 Greece <=50K
#;-) 234 78649.0 14 Trinadad&Tobago <=50K
#;-) 235 79152.0 48 Hungary <=50K
#;-) 236 6468.0 49 United-States <=50K
#;-) 237 2374.0 21 United-States <=50K
#;-) 238 23136.0 67 Hong <=50K
#;-) 239 20664.0 47 Jamaica >50K
#;-) 241 3404.0 61 India >50K
#;-) 242 36906.0 68 Scotland <=50K
#;-) 243 21911.0 48 El-Salvador >50K
#;-) 246 13140.0 16 Trinadad&Tobago <=50K
#;-) 247 93881.0 11 Dominican-Republic <=50K
#;-) 255 61944.0 28 Hong >50K
#;-) 257 93383.0 20 England <=50K
#;-) 258 15304.0 17 Holand-Netherlands <=50K
#;-) 259 48896.5 39 Hungary <=50K
#;-) 262 18407.0 74 Columbia <=50K
#;-) 263 1867.0 94 Canada <=50K
#;-) 264 36397.0 79 Haiti <=50K
#;-) 265 98739.0 45 Holand-Netherlands >50K
#;-) 269 42030.0 69 Columbia <=50K
#;-) 270 15252.0 94 Columbia >50K
#;-) 276 6076.0 39 Laos <=50K
#;-) 278 63141.0 51 Hungary <=50K
#;-) 279 21006.0 53 Trinadad&Tobago <=50K
#;-) 280 45847.0 16 England <=50K
#;-) 281 73371.0 92 Philippines <=50K
#;-) 282 15107.0 41 Scotland >50K
#;-) 284 97685.0 68 El-Salvador >50K
#;-) 285 48896.5 11 Ecuador <=50K
#;-) 286 54041.0 91 Cuba <=50K
#;-) 295 35489.0 29 Outlying-US(Guam-USVI-etc) <=50K
#;-) 296 25067.0 9 Cuba <=50K
#;-) 297 98355.0 80 Mexico <=50K
#;-) 299 48896.5 76 Holand-Netherlands <=50K
#;-) 300 57468.0 81 Portugal <=50K
#;-) 301 13400.0 71 England <=50K
#;-) 302 34694.0 18 Outlying-US(Guam-USVI-etc) <=50K
#;-) 303 20377.0 65 Mexico >50K
#;-) 304 53380.0 99 Scotland <=50K
#;-) 307 9945.0 7 Haiti <=50K
#;-) 308 48896.5 66 Outlying-US(Guam-USVI-etc) <=50K
#;-) 311 41808.0 23 Cambodia >50K
#;-) 313 94912.0 99 Greece <=50K
#;-) 314 76128.0 67 Greece <=50K
#;-) 316 90095.0 46 Italy <=50K
#;-) 317 87366.0 39 Columbia <=50K
#;-) 318 36809.0 37 Dominican-Republic <=50K
#;-) 319 88047.0 38 Outlying-US(Guam-USVI-etc) >50K
#;-) 321 39996.0 48 Dominican-Republic >50K
#;-) 322 50937.0 31 Jamaica <=50K
#;-) 325 75556.0 87 Columbia >50K
#;-) 326 27912.0 62 Trinadad&Tobago <=50K
#;-) 327 72937.0 1 South >50K
#;-) 328 61394.0 74 Peru <=50K
#;-) 329 48896.5 89 Hungary <=50K
#;-) 331 44096.0 44 Hong <=50K
#;-) 332 48896.5 30 Japan <=50K
#;-) 333 37216.0 1 France >50K
#;-) 334 56857.0 22 Ecuador <=50K
#;-) 335 38035.0 78 Jamaica <=50K
#;-) 337 81113.0 91 Poland <=50K
#;-) 339 13950.0 59 Scotland >50K
#;-) 343 13678.0 18 Columbia <=50K
#;-) 344 75472.0 65 Iran <=50K
#;-) 347 59991.0 96 Puerto-Rico <=50K
#;-) 348 53639.0 22 Jamaica <=50K
#;-) 349 97749.0 76 Poland <=50K
#;-) 351 16904.0 40 Dominican-Republic >50K
#;-) 353 93481.0 37 Vietnam <=50K
#;-) 355 42255.0 79 Puerto-Rico <=50K
#;-) 356 17432.0 1 Outlying-US(Guam-USVI-etc) <=50K
#;-) 357 57124.0 7 El-Salvador <=50K
#;-) 358 89304.0 43 Thailand <=50K
#;-) 359 89068.0 66 Greece <=50K
#;-) 363 55531.0 1 Ireland <=50K
#;-) 364 74653.0 18 Poland <=50K
#;-) 368 83768.0 60 Greece <=50K
#;-) 371 67036.0 75 Ecuador >50K
#;-) 372 89412.0 35 Mexico <=50K
#;-) 375 48896.5 48 Germany <=50K
#;-) 376 63158.0 23 El-Salvador <=50K
#;-) 377 74691.0 49 Iran <=50K
#;-) 378 48896.5 13 Jamaica <=50K
#;-) 379 83881.0 14 Trinadad&Tobago >50K
#;-) 381 41735.0 89 Hong <=50K
#;-) 383 85373.0 81 Greece <=50K
#;-) 385 74470.0 48 India <=50K
#;-) 386 6858.0 22 Vietnam >50K
#;-) 388 22801.0 96 Puerto-Rico <=50K
#;-) 389 55049.0 17 Portugal <=50K
#;-) 390 5070.0 14 Greece <=50K
#;-) 392 15073.0 91 Vietnam <=50K
#;-) 393 48896.5 45 Greece <=50K
#;-) 394 69986.0 31 Dominican-Republic <=50K
#;-) 397 18357.0 20 Thailand >50K
#;-) 398 15423.0 36 Trinadad&Tobago <=50K
#;-) 399 65855.0 45 Columbia <=50K
#;-) 401 94604.0 36 Mexico >50K
#;-) 402 20775.0 13 Holand-Netherlands <=50K
#;-) 403 55281.0 21 Yugoslavia <=50K
#;-) 404 2375.0 18 Ireland <=50K
#;-) 405 55006.0 94 Italy >50K
#;-) 406 59342.0 68 England <=50K
#;-) 408 74645.0 31 South <=50K
#;-) 409 94604.0 95 Outlying-US(Guam-USVI-etc) <=50K
#;-) 411 14105.0 47 Mexico >50K
#;-) 412 241.0 48 Taiwan <=50K
#;-) 413 38698.0 61 France >50K
#;-) 414 31840.0 43 Ireland <=50K
#;-) 415 6298.0 98 India <=50K
#;-) 417 7091.0 8 Germany <=50K
#;-) 420 72.0 72 Mexico <=50K
#;-) 421 86762.0 47 Nicaragua <=50K
#;-) 422 83028.0 37 Canada <=50K
#;-) 423 20621.0 69 Honduras <=50K
#;-) 425 5417.0 9 Dominican-Republic >50K
#;-) 426 61939.0 10 Philippines <=50K
#;-) 427 6704.0 32 Haiti <=50K
#;-) 428 90236.0 46 Cambodia >50K
#;-) 429 48835.0 45 Greece <=50K
#;-) 430 18781.0 3 Mexico >50K
#;-) 431 99476.0 62 Hong >50K
#;-) 432 14170.0 97 Hungary <=50K
#;-) 433 18117.0 44 Iran <=50K
#;-) 434 25630.0 81 Hungary <=50K
#;-) 435 31466.0 82 Portugal <=50K
#;-) 436 86186.0 51 China >50K
#;-) 437 32435.0 61 Italy <=50K
#;-) 438 39316.0 24 Cuba >50K
#;-) 441 63189.0 92 Portugal <=50K
#;-) 442 84210.0 44 Greece <=50K
#;-) 443 34126.0 3 Germany >50K
#;-) 445 72826.0 33 Cuba >50K
#;-) 447 57608.0 88 Puerto-Rico <=50K
#;-) 448 48175.0 44 France <=50K
#;-) 449 8821.0 98 Guatemala >50K
#;-) 450 60965.0 93 Ireland >50K
#;-) 451 55264.0 97 Honduras <=50K
#;-) 452 72955.0 5 Hungary <=50K
#;-) 453 1828.0 41 Puerto-Rico <=50K
#;-) 454 13038.0 2 China <=50K
#;-) 455 51020.0 7 United-States <=50K
#;-) 457 48896.5 59 Hong <=50K
#;-) 458 2041.0 8 Cambodia <=50K
#;-) 460 81621.0 2 Canada <=50K
#;-) 462 43174.0 55 France <=50K
#;-) 464 67022.0 59 England <=50K
#;-) 471 90356.0 27 India <=50K
#;-) 472 17472.0 4 Jamaica <=50K
#;-) 474 56472.0 64 Ecuador <=50K
#;-) 478 45438.0 18 Vietnam <=50K
#;-) 479 27180.0 2 United-States <=50K
#;-) 481 48896.5 14 United-States >50K
#;-) 482 30205.0 32 Iran <=50K
#;-) 483 23722.0 48 Vietnam <=50K
#;-) 485 52923.0 25 Italy <=50K
#;-) 486 67807.0 48 Peru <=50K
#;-) 487 24570.0 26 Cuba >50K
#;-) 490 20633.0 91 Ecuador >50K
#;-) 493 71329.0 35 Hungary <=50K
#;-) 495 30297.0 56 Ecuador >50K
#;-) 496 37405.0 58 Jamaica <=50K
#;-) 498 49064.0 21 Cuba <=50K
#;-) 499 37503.0 89 Hungary <=50K
#;-) 500 61476.0 94 China <=50K
#;-) 501 22184.0 87 South >50K
#;-) 502 53020.0 48 Cambodia <=50K
#;-) 503 99026.0 67 France <=50K
#;-) 505 89272.0 61 Columbia >50K
#;-) 509 35174.0 3 Portugal <=50K
#;-) 510 16057.0 19 Hungary <=50K
#;-) 512 62695.0 50 France <=50K
#;-) 514 51838.0 56 Jamaica <=50K
#;-) 515 54269.0 20 Peru <=50K
#;-) 516 57036.0 56 Dominican-Republic >50K
#;-) 518 25342.0 97 India <=50K
#;-) 519 55441.0 63 Thailand <=50K
#;-) 521 13852.0 79 Jamaica <=50K
#;-) 525 64962.0 15 Laos >50K
#;-) 526 10491.0 56 Peru >50K
#;-) 527 59492.0 98 Hong <=50K
#;-) 530 73318.0 52 Portugal <=50K
#;-) 531 48896.5 63 Guatemala <=50K
#;-) 532 14563.0 48 Mexico <=50K
#;-) 535 3840.0 26 Puerto-Rico <=50K
#;-) 536 44222.0 84 England <=50K
#;-) 538 37919.0 52 India <=50K
#;-) 539 79498.0 69 Japan <=50K
#;-) 540 76573.0 82 France <=50K
#;-) 542 74829.0 6 Laos <=50K
#;-) 544 19124.0 65 Cuba <=50K
#;-) 545 31283.0 30 India <=50K
#;-) 547 3511.0 21 Outlying-US(Guam-USVI-etc) <=50K
#;-) 548 93988.0 38 Cambodia <=50K
#;-) 550 26193.0 18 South <=50K
#;-) 551 48896.5 39 Italy >50K
#;-) 552 77783.0 48 South <=50K
#;-) 553 73028.0 77 Guatemala >50K
#;-) 555 8750.0 41 Portugal <=50K
#;-) 556 89958.0 32 Honduras <=50K
#;-) 557 30868.0 36 Hong <=50K
#;-) 558 17343.0 37 Mexico <=50K
#;-) 560 30316.0 89 Guatemala <=50K
#;-) 561 6521.0 61 Yugoslavia <=50K
#;-) 562 20268.0 61 Vietnam <=50K
#;-) 563 55609.0 6 Portugal <=50K
#;-) 565 53647.0 27 Hong <=50K
#;-) 566 25656.0 16 Mexico <=50K
#;-) 567 2591.0 10 China <=50K
#;-) 568 69413.0 7 Dominican-Republic <=50K
#;-) 570 728.0 48 Italy <=50K
#;-) 572 33292.0 97 Haiti <=50K
#;-) 575 87871.0 87 Germany >50K
#;-) 577 43048.0 22 United-States <=50K
#;-) 578 39374.0 35 Hungary <=50K
#;-) 579 32392.0 48 Mexico >50K
#;-) 581 63984.0 10 South <=50K
#;-) 584 88015.0 11 Nicaragua <=50K
#;-) 586 24784.0 91 Poland >50K
#;-) 587 63094.0 23 Dominican-Republic <=50K
#;-) 588 24593.0 45 Honduras <=50K
#;-) 590 89686.0 55 South <=50K
#;-) 592 10890.0 25 Ecuador <=50K
#;-) 593 36483.0 14 Portugal <=50K
#;-) 594 87639.0 89 Trinadad&Tobago <=50K
#;-) 596 98608.0 54 Laos <=50K
#;-) 597 44882.0 74 Iran <=50K
#;-) 598 28653.0 37 Laos <=50K
#;-) 599 26218.0 63 Peru <=50K
#;-) 601 54948.0 43 Guatemala <=50K
#;-) 602 50187.0 24 Japan <=50K
#;-) 605 34125.0 60 Scotland <=50K
#;-) 606 6706.0 69 England <=50K
#;-) 607 42221.0 98 Ecuador >50K
#;-) 609 29703.0 89 Peru >50K
#;-) 612 37137.0 40 United-States <=50K
#;-) 614 12947.0 56 France <=50K
#;-) 615 40206.0 26 Puerto-Rico <=50K
#;-) 616 56752.0 12 Italy <=50K
#;-) 618 33819.0 51 Haiti >50K
#;-) 620 59030.0 55 Dominican-Republic >50K
#;-) 621 35865.0 37 Poland <=50K
#;-) 622 65255.0 7 Hungary <=50K
#;-) 623 1573.0 5 Puerto-Rico >50K
#;-) 626 64266.0 87 Ecuador <=50K
#;-) 627 98012.0 39 El-Salvador >50K
#;-) 628 75399.0 47 Italy <=50K
#;-) 629 21631.0 48 Hungary <=50K
#;-) 630 26908.0 13 Scotland <=50K
#;-) 631 36970.0 60 Scotland <=50K
#;-) 632 16144.0 50 South >50K
#;-) 634 32483.0 18 Iran >50K
#;-) 637 73066.0 65 England >50K
#;-) 638 72490.0 6 Honduras >50K
#;-) 641 18760.0 54 Thailand <=50K
#;-) 643 43963.0 5 Yugoslavia <=50K
#;-) 644 79984.0 6 El-Salvador <=50K
#;-) 646 1595.0 33 Japan >50K
#;-) 647 98560.0 42 Yugoslavia <=50K
#;-) 648 76475.0 19 Canada <=50K
#;-) 649 60401.0 10 India <=50K
#;-) 650 27494.0 79 England >50K
#;-) 651 56868.0 97 Poland <=50K
#;-) 652 30719.0 32 Holand-Netherlands <=50K
#;-) 653 18064.0 37 China >50K
#;-) 654 37192.0 11 Hungary <=50K
#;-) 655 9897.0 77 India <=50K
#;-) 656 30401.0 44 Guatemala <=50K
#;-) 660 48896.5 19 France <=50K
#;-) 661 68268.0 34 Taiwan <=50K
#;-) 662 48896.5 16 Japan <=50K
#;-) 663 81164.0 96 Portugal <=50K
#;-) 664 37733.0 45 Hong <=50K
#;-) 665 5929.0 69 Jamaica <=50K
#;-) 667 54620.0 50 United-States <=50K
#;-) 668 41675.0 13 Outlying-US(Guam-USVI-etc) <=50K
#;-) 670 92351.0 52 Puerto-Rico <=50K
#;-) 671 87284.0 81 Hong <=50K
#;-) 672 65048.0 1 Jamaica <=50K
#;-) 673 2558.0 87 Guatemala <=50K
#;-) 674 78571.0 77 Iran >50K
#;-) 676 72832.0 67 Ecuador <=50K
#;-) 678 14798.0 93 Portugal <=50K
#;-) 679 34544.0 70 Mexico <=50K
#;-) 680 28721.0 94 Scotland <=50K
#;-) 681 2126.0 66 Peru <=50K
#;-) 682 39279.0 75 England <=50K
#;-) 685 68229.0 48 South <=50K
#;-) 687 77573.0 75 Laos <=50K
#;-) 688 2198.0 3 Germany >50K
#;-) 689 30236.0 27 Yugoslavia <=50K
#;-) 690 45139.0 64 Jamaica <=50K
#;-) 692 97395.0 30 Portugal <=50K
#;-) 693 57063.0 45 Honduras <=50K
#;-) 694 4473.0 64 Canada >50K
#;-) 696 80628.0 49 Puerto-Rico <=50K
#;-) 699 67088.0 45 Scotland <=50K
#;-) 700 65654.0 56 Columbia <=50K
#;-) 701 9209.0 25 Guatemala <=50K
#;-) 702 26725.0 62 Ecuador <=50K
#;-) 704 27803.0 48 Iran <=50K
#;-) 705 28885.0 70 Jamaica >50K
#;-) 707 75098.0 8 Portugal <=50K
#;-) 708 48896.5 51 Hungary <=50K
#;-) 710 45066.0 66 India <=50K
#;-) 712 51534.0 14 Japan <=50K
#;-) 715 72960.0 74 England >50K
#;-) 717 78982.0 46 South <=50K
#;-) 718 90542.0 68 Philippines <=50K
#;-) 719 56875.0 12 El-Salvador <=50K
#;-) 721 1751.0 23 Hungary <=50K
#;-) 722 5722.0 24 Peru <=50K
#;-) 723 57675.0 48 Cuba <=50K
#;-) 725 10566.0 11 United-States <=50K
#;-) 729 46391.0 61 Iran <=50K
#;-) 731 23763.0 46 Honduras <=50K
#;-) 733 43244.0 5 Guatemala <=50K
#;-) 734 48896.5 74 England <=50K
#;-) 735 41769.0 72 Guatemala <=50K
#;-) 736 21420.0 48 Japan <=50K
#;-) 738 57200.0 48 Philippines <=50K
#;-) 740 12592.0 18 Nicaragua <=50K
#;-) 741 83249.0 94 India <=50K
#;-) 745 58591.0 48 Vietnam <=50K
#;-) 748 68236.0 73 Ecuador <=50K
#;-) 749 5743.0 54 Hong >50K
#;-) 755 68109.0 89 Hong >50K
#;-) 756 39661.0 32 El-Salvador <=50K
#;-) 757 33040.0 35 Ecuador >50K
#;-) 759 67925.0 56 Holand-Netherlands <=50K
#;-) 761 16657.0 52 Thailand <=50K
#;-) 762 16246.0 17 Dominican-Republic <=50K
#;-) 763 48896.5 51 England <=50K
#;-) 765 38561.0 94 Germany <=50K
#;-) 766 63222.0 15 Greece <=50K
#;-) 767 2904.0 4 Laos <=50K
#;-) 769 25816.0 92 Ecuador <=50K
#;-) 770 48896.5 66 India <=50K
#;-) 772 27739.0 39 Puerto-Rico <=50K
#;-) 775 62901.0 98 France <=50K
#;-) 776 90575.0 38 Columbia <=50K
#;-) 777 93712.0 46 Taiwan >50K
#;-) 778 67985.0 9 South <=50K
#;-) 779 59325.0 36 South <=50K
#;-) 783 15990.0 67 Cuba <=50K
#;-) 784 61227.0 91 Dominican-Republic <=50K
#;-) 790 10071.0 97 England <=50K
#;-) 793 97812.0 23 Philippines <=50K
#;-) 794 37544.0 28 Laos <=50K
#;-) 795 50037.0 38 China <=50K
#;-) 797 49143.0 79 Philippines >50K
#;-) 798 32889.0 76 Nicaragua <=50K
#;-) 802 6712.0 11 Japan <=50K
#;-) 804 80230.0 26 Hungary <=50K
#;-) 805 46337.0 90 Cambodia >50K
#;-) 806 48896.5 94 Holand-Netherlands <=50K
#;-) 807 75580.0 75 Portugal <=50K
#;-) 808 6974.0 79 Japan <=50K
#;-) 809 75671.0 3 Canada <=50K
#;-) 810 3255.0 83 Vietnam <=50K
#;-) 811 45800.0 83 El-Salvador <=50K
#;-) 812 43561.0 11 Taiwan <=50K
#;-) 815 8497.0 56 Taiwan >50K
#;-) 816 16157.0 48 Taiwan >50K
#;-) 817 48896.5 78 Nicaragua >50K
#;-) 819 11994.0 65 Philippines <=50K
#;-) 825 78068.0 15 Guatemala <=50K
#;-) 826 69738.0 14 Dominican-Republic <=50K
#;-) 830 43706.0 59 China <=50K
#;-) 832 88381.0 48 Hungary <=50K
#;-) 833 40228.0 76 South <=50K
#;-) 834 43674.0 65 Dominican-Republic <=50K
#;-) 838 8676.0 47 Haiti <=50K
#;-) 839 58129.0 34 Puerto-Rico >50K
#;-) 843 82802.0 71 Mexico <=50K
#;-) 844 40825.0 46 Taiwan >50K
#;-) 845 26557.0 82 Cambodia >50K
#;-) 846 59559.0 19 Japan <=50K
#;-) 847 1508.0 70 Trinadad&Tobago >50K
#;-) 848 48896.5 32 Hungary >50K
#;-) 849 87845.0 18 Philippines <=50K
#;-) 850 10143.0 56 United-States <=50K
#;-) 851 19761.0 48 Dominican-Republic <=50K
#;-) 852 43186.0 43 Thailand >50K
#;-) 854 22760.0 88 Peru <=50K
#;-) 855 1354.0 48 Haiti <=50K
#;-) 856 16575.0 7 Guatemala <=50K
#;-) 860 41788.0 31 Dominican-Republic <=50K
#;-) 861 57609.0 38 Hong <=50K
#;-) 864 15472.0 62 Laos <=50K
#;-) 865 13495.0 51 India >50K
#;-) 866 48647.0 33 Portugal <=50K
#;-) 867 48896.5 49 Hungary <=50K
#;-) 869 70147.0 88 Hong <=50K
#;-) 870 20386.0 48 Italy <=50K
#;-) 872 82366.0 56 Puerto-Rico <=50K
#;-) 873 32129.0 96 United-States <=50K
#;-) 874 67359.0 53 India <=50K
#;-) 875 72790.0 96 Ecuador <=50K
#;-) 878 32619.0 38 Guatemala <=50K
#;-) 879 41798.0 40 Scotland <=50K
#;-) 884 99912.0 78 Scotland >50K
#;-) 886 26485.0 25 Vietnam <=50K
#;-) 887 13901.0 87 Jamaica <=50K
#;-) 888 11623.0 54 Scotland <=50K
#;-) 889 83177.0 24 Canada <=50K
#;-) 890 75938.0 20 France <=50K
#;-) 891 77395.0 94 Jamaica <=50K
#;-) 892 23040.0 16 Guatemala <=50K
#;-) 893 22969.0 47 China <=50K
#;-) 895 94401.0 69 Guatemala >50K
#;-) 896 20956.0 55 India <=50K
#;-) 897 27265.0 18 Cuba >50K
#;-) 898 44618.0 56 Thailand >50K
#;-) 901 79207.0 87 Laos <=50K
#;-) 902 98334.0 73 India <=50K
#;-) 903 58034.0 42 Dominican-Republic >50K
#;-) 904 79322.0 85 Hong <=50K
#;-) 906 92047.0 36 Jamaica <=50K
#;-) 908 19644.0 72 Thailand >50K
#;-) 909 93352.0 7 France <=50K
#;-) 910 77561.0 22 Poland <=50K
#;-) 911 97675.0 94 Philippines <=50K
#;-) 914 95620.0 1 Greece <=50K
#;-) 916 82400.0 21 Poland <=50K
#;-) 917 21670.0 48 Laos <=50K
#;-) 921 15983.0 11 Poland >50K
#;-) 923 56972.0 21 Haiti <=50K
#;-) 926 9842.0 25 Vietnam >50K
#;-) 927 52757.0 28 Poland >50K
#;-) 928 37705.0 20 Canada <=50K
#;-) 929 68300.0 58 El-Salvador <=50K
#;-) 930 22880.0 56 Germany <=50K
#;-) 932 89971.0 86 Italy <=50K
#;-) 934 42768.0 24 Nicaragua <=50K
#;-) 936 82859.0 34 Dominican-Republic <=50K
#;-) 937 7701.0 68 Cambodia <=50K
#;-) 940 90700.0 64 Columbia <=50K
#;-) 941 6830.0 24 England >50K
#;-) 942 46556.0 27 Peru <=50K
#;-) 944 65366.0 52 Canada <=50K
#;-) 945 87217.0 96 Iran <=50K
#;-) 947 63909.0 74 Poland >50K
#;-) 948 63773.0 22 Jamaica <=50K
#;-) 950 50401.0 21 Nicaragua <=50K
#;-) 951 53936.0 49 Honduras <=50K
#;-) 952 48896.5 85 Portugal <=50K
#;-) 953 16572.0 79 Ecuador <=50K
#;-) 954 79592.0 25 England >50K
#;-) 956 7886.0 89 India <=50K
#;-) 958 48896.5 48 Trinadad&Tobago <=50K
#;-) 960 86262.0 29 Yugoslavia >50K
#;-) 961 304.0 1 Ecuador <=50K
#;-) 962 61678.0 40 Hong >50K
#;-) 965 19155.0 5 Portugal <=50K
#;-) 966 78218.0 67 Canada <=50K
#;-) 967 1336.0 75 Holand-Netherlands >50K
#;-) 968 39407.0 37 Germany <=50K
#;-) 969 33813.0 83 Scotland <=50K
#;-) 970 44003.0 91 Guatemala >50K
#;-) 971 71219.0 56 Ecuador >50K
#;-) 972 51634.0 82 China <=50K
#;-) 977 14768.0 81 Dominican-Republic <=50K
#;-) 979 32996.0 18 Vietnam >50K
#;-) 981 56119.0 97 Iran <=50K
#;-) 983 83749.0 48 Nicaragua <=50K
#;-) 984 56498.0 88 Haiti <=50K
#;-) 985 56597.0 49 Haiti <=50K
#;-) 988 37109.0 42 Taiwan <=50K
#;-) 989 99230.0 77 Hungary <=50K
#;-) 992 83857.0 29 United-States <=50K
#;-) 995 95453.0 90 France <=50K
#;-) 997 37949.0 93 Germany >50K
#;-) 998 62382.0 52 Laos >50K
#;-) 999 63442.0 48 Cambodia <=50K
# finding outliers
#boxplot
boxplot(dataset_clean[numeric_cols], outline=TRUE, main="Boxplots of Numerical Columns")
#zscore
zscore<-abs(scale(dataset_clean$capital_loss))
plot(zscore,type = "n")
abline(h=2,col="red")
text(1:length(dataset_clean$capital_loss),zscore)
#Mahalonobis charts
#install.packages('rrcov')
library(rrcov)
#;-) Warning: pakiet 'rrcov' został zbudowany w wersji R 4.3.3
#;-) Ładowanie wymaganego pakietu: robustbase
#;-) Warning: pakiet 'robustbase' został zbudowany w wersji R 4.3.3
#;-)
#;-) Dołączanie pakietu: 'robustbase'
#;-) Następujący obiekt został zakryty _przez_ '.GlobalEnv':
#;-)
#;-) education
#;-) Scalable Robust Estimators with High Breakdown Point (version 1.7-5)
par(mfrow=c(2,2))
plot(covMcd(dataset_clean$capital_gain))
dataset_clean$age <- as.integer(as.character(dataset_clean$age))
age_standardized <- scale(dataset_clean$age)
summary(age_standardized)
#;-) V1
#;-) Min. :-1.70400
#;-) 1st Qu.:-0.84466
#;-) Median :-0.08079
#;-) Mean : 0.00000
#;-) 3rd Qu.: 0.82629
#;-) Max. : 1.73338
dataset_clean$age_group <- cut(dataset_clean$age,
breaks = c(-Inf, 25, 50, 75, Inf),
labels = c("Young", "Adult", "Senior", "Elderly"))
# Checking the distribution
table(dataset_clean$age_group)
#;-)
#;-) Young Adult Senior Elderly
#;-) 63 228 208 125
library(dlookr)
#;-) Warning: pakiet 'dlookr' został zbudowany w wersji R 4.3.3
#;-) Registered S3 methods overwritten by 'dlookr':
#;-) method from
#;-) plot.transform scales
#;-) print.transform scales
#;-)
#;-) Dołączanie pakietu: 'dlookr'
#;-) Następujący obiekt został zakryty z 'package:tidyr':
#;-)
#;-) extract
#;-) Następujący obiekt został zakryty z 'package:base':
#;-)
#;-) transform
dataset_clean %>%
diagnose_web_report(subtitle = "dataset_clean", output_dir = "./",
output_file = "Diagn.html", theme = "blue")
#;-) processing file: diagnosis_temp.Rmd
#;-) output file: diagnosis_temp.knit.md
#;-) "C:/Users/mmrug/AppData/Local/Pandoc/pandoc" +RTS -K512m -RTS diagnosis_temp.knit.md --to html4 --from markdown+autolink_bare_uris+tex_math_single_backslash --output "\Diagn.html" --lua-filter "C:\Users\mmrug\AppData\Local\R\win-library\4.3\rmarkdown\rmarkdown\lua\pagebreak.lua" --lua-filter "C:\Users\mmrug\AppData\Local\R\win-library\4.3\rmarkdown\rmarkdown\lua\latex-div.lua" --embed-resources --standalone --variable bs3=TRUE --section-divs --template "C:\Users\mmrug\AppData\Local\R\win-library\4.3\rmarkdown\rmd\h\default.html" --no-highlight --variable highlightjs=1 --variable theme=bootstrap --css "C:/Users/mmrug/AppData/Local/R/win-library/4.3/dlookr/resources/dlookr-bootstrap.css" --mathjax --variable "mathjax-url=https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML" --include-in-header "C:\Users\mmrug\AppData\Local\Temp\Rtmp0spUow\rmarkdown-strb3c43f7705.html" --variable code_folding=show --variable code_menu=1 --include-in-header header_temp.html --include-after-body "C:\Users\mmrug\AppData\Local\R\win-library\4.3\dlookr\resources\footer.html"
#;-) Error: pandoc document conversion failed with error 1
dataset_clean %>%
eda_web_report(subtitle = "dataset_clean", output_dir = "./",
output_file = "EDA.html", theme = "blue")
#;-) processing file: eda_temp.Rmd
#;-) Error in parse_block(g[-1], g[1], params.src, markdown_mode): Duplicate chunk label 'unnamed-chunk-2', which has been used for the chunk:
#;-) # Load necessary libraries
#;-) library(tidyverse)
#;-)
#;-) # Set seed for reproducibility
#;-) set.seed(123)
#;-)
#;-) # Generate sample data
#;-) n <- 1000 # Number of observations
#;-)
#;-) # Age between 18 and 90
#;-) age <- sample(18:90, n, replace = TRUE)
#;-)
#;-) # Introduce errors in age column
#;-) age[sample(1:n, 50)] <- "InvalidAge"
#;-)
#;-) # Workclass: Private, Self-emp-not-inc, Self-emp-inc, Federal-gov, Local-gov, State-gov, Without-pay, Never-worked
#;-) workclass <- sample(c("Private", "Self-emp-not-inc", "Self-emp-inc", "Federal-gov", "Local-gov", "State-gov", "Without-pay", "Never-worked"), n, replace = TRUE)
#;-)
#;-) # Introduce missing values in workclass column
#;-) workclass[sample(1:n, 50)] <- NA
#;-)
#;-) # Education: Bachelors, Some-college, 11th, HS-grad, Prof-school, Assoc-acdm, Assoc-voc, 9th, 7th-8th, 12th, Masters, 1st-4th, 10th, Doctorate, 5th-6th, Preschool
#;-) education <- sample(c("Bachelors", "Some-college", "11th", "HS-grad", "Prof-school", "Assoc-acdm", "Assoc-voc", "9th", "7th-8th", "12th", "Masters", "1st-4th", "10th", "Doctorate", "5th-6th", "Preschool"), n, replace = TRUE)
#;-)
#;-) # Introduce inconsistencies in education column
#;-) education[sample(1:n, 50)] <- "InvalidEducation"
#;-)
#;-) # Education Number: 1-16
#;-) education_num <- sample(1:16, n, replace = TRUE)
#;-)
#;-) # Marital Status: Married-civ-spouse, Divorced, Never-married, Separated, Widowed, Married-spouse-absent, Married-AF-spouse
#;-) marital_status <- sample(c("Married-civ-spouse", "Divorced", "Never-married", "Separated", "Widowed", "Married-spouse-absent", "Married-AF-spouse"), n, replace = TRUE)
#;-)
#;-) # Introduce missing values in marital_status column
#;-) marital_status[sample(1:n, 50)] <- NA
#;-)
#;-) # Occupation: Tech-support, Craft-repair, Other-service, Sales, Exec-managerial, Prof-specialty, Handlers-cleaners, Machine-op-inspct, Adm-clerical, Farming-fishing, Transport-moving, Priv-house-serv, Protective-serv, Armed-Forces
#;-) occupation <- sample(c("Tech-support", "Craft-repair", "Other-service", "Sales", "Exec-managerial", "Prof-specialty", "Handlers-cleaners", "Machine-op-inspct", "Adm-clerical", "Farming-fishing", "Transport-moving", "Priv-house-serv", "Protective-serv", "Armed-Forces"), n, replace = TRUE)
#;-)
#;-) # Introduce errors in occupation column
#;-) occupation[sample(1:n, 50)] <- "InvalidOccupation"
#;-)
#;-) # Relationship: Wife, Own-child, Husband, Not-in-family, Other-relative, Unmarried
#;-) relationship <- sample(c("Wife", "Own-child", "Husband", "Not-in-family", "Other-relative", "Unmarried"), n, replace = TRUE)
#;-)
#;-) # Introduce missing values in relationship column
#;-) relationship[sample(1:n, 50)] <- NA
#;-)
#;-) # Race: White, Asian-Pac-Islander, Amer-Indian-Eskimo, Other, Black
#;-) race <- sample(c("White", "Asian-Pac-Islander", "Amer-Indian-Eskimo", "Other", "Black"), n, replace = TRUE)
#;-)
#;-) # Introduce inconsistencies in race column
#;-) race[sample(1:n, 50)] <- "InvalidRace"
#;-)
#;-) # Sex: Female, Male
#;-) sex <- sample(c("Female", "Male"), n, replace = TRUE)
#;-)
#;-) # Introduce missing values in sex column
#;-) sex[sample(1:n, 50)] <- NA
#;-)
#;-) # Capital Gain: 0-99999
#;-) capital_gain <- sample(0:99999, n, replace = TRUE)
#;-)
#;-) # Introduce errors in capital_gain column
#;-) capital_gain[sample(1:n, 50)] <- -999
#;-)
#;-) # Capital Loss: 0-99999
#;-) capital_loss <- sample(0:99999, n, replace = TRUE)
#;-)
#;-) # Introduce errors in capital_loss column
#;-) capital_loss[sample(1:n, 50)] <- -999
#;-)
#;-) # Hours per week: 1-99
#;-) hours_per_week <- sample(1:99, n, replace = TRUE)
#;-)
#;-) # Introduce missing values in hours_per_week column
#;-) hours_per_week[sample(1:n, 50)] <- NA
#;-)
#;-) # Native country: United-States, Cambodia, England, ...
#;-) native_country <- sample(c("United-States", "Cambodia", "England", "Puerto-Rico", "Canada", "Germany", "Outlying-US(Guam-USVI-etc)", "India", "Japan", "Greece", "South", "China", "Cuba", "Iran", "Honduras", "Philippines", "Italy", "Poland", "Jamaica", "Vietnam", "Mexico", "Portugal", "Ireland", "France", "Dominican-Republic", "Laos", "Ecuador", "Taiwan", "Haiti", "Columbia", "Hungary", "Guatemala", "Nicaragua", "Scotland", "Thailand", "Yugoslavia", "El-Salvador", "Trinadad&Tobago", "Peru", "Hong", "Holand-Netherlands"), n, replace = TRUE)
#;-)
#;-) # Introduce missing values in native_country column
#;-) native_country[sample(1:n, 50)] <- NA
#;-)
#;-) # Income: <=50K, >50K
#;-) income <- sample(c("<=50K", ">50K"), n, replace = TRUE, prob = c(0.75, 0.25))
#;-)
#;-) # Create dataframe
#;-) sample_dirty_dataset <- data.frame(age, workclass, education, education_num, marital_status, occupation, relationship, race, sex, capital_gain, capital_loss, hours_per_week, native_country, income)
#;-)
#;-) # Print first few rows of the dataset
#;-) head(sample_dirty_dataset)
#;-) # replacing invalid values with NA
#;-) for (i in 1:nrow(sample_dirty_dataset)) {
#;-) for (j in 1:ncol(sample_dirty_dataset)) {
#;-) if (grepl("Invalid", sample_dirty_dataset[i, j])) {
#;-) sample_dirty_dataset[i, j] <- NA
#;-) }
#;-) }
#;-) }
#;-) # replacing negative values in gains and losses
#;-) sample_dirty_dataset$capital_gain[sample_dirty_dataset$capital_gain < 0] <- NA
#;-) sample_dirty_dataset$capital_loss[sample_dirty_dataset$capital_loss < 0] <- NA
#;-) head(sample_dirty_dataset)
#;-) # impute numerical values using median
#;-)
#;-) # identify numeric columns
#;-) numeric_cols <- sapply(sample_dirty_dataset, is.numeric)
#;-)
#;-) # impute NA values in numeric columns with the median of each column
#;-) dataset_imputed <- sample_dirty_dataset
#;-) dataset_imputed[, numeric_cols] <- lapply(dataset_imputed[, numeric_cols], function(x) {
#;-) x[is.na(x)] <- median(x, na.rm = TRUE)
#;-) return(x)
#;-) })
#;-) dataset_imputed
#;-)
#;-)
#;-) # removing non-imputable variables
#;-) dataset_clean <- dataset_imputed[complete.cases(dataset_imputed), ]
#;-) dataset_clean
dataset_clean %>%
transformation_paged_report(subtitle = "dataset_clean", output_dir = "./",
output_file = "transformation.pdf", theme = "blue")
#;-) processing file: transformation_paged_temp.Rmd
#;-) Error in parse_block(g[-1], g[1], params.src, markdown_mode): Duplicate chunk label 'unnamed-chunk-2', which has been used for the chunk:
#;-) # Load necessary libraries
#;-) library(tidyverse)
#;-)
#;-) # Set seed for reproducibility
#;-) set.seed(123)
#;-)
#;-) # Generate sample data
#;-) n <- 1000 # Number of observations
#;-)
#;-) # Age between 18 and 90
#;-) age <- sample(18:90, n, replace = TRUE)
#;-)
#;-) # Introduce errors in age column
#;-) age[sample(1:n, 50)] <- "InvalidAge"
#;-)
#;-) # Workclass: Private, Self-emp-not-inc, Self-emp-inc, Federal-gov, Local-gov, State-gov, Without-pay, Never-worked
#;-) workclass <- sample(c("Private", "Self-emp-not-inc", "Self-emp-inc", "Federal-gov", "Local-gov", "State-gov", "Without-pay", "Never-worked"), n, replace = TRUE)
#;-)
#;-) # Introduce missing values in workclass column
#;-) workclass[sample(1:n, 50)] <- NA
#;-)
#;-) # Education: Bachelors, Some-college, 11th, HS-grad, Prof-school, Assoc-acdm, Assoc-voc, 9th, 7th-8th, 12th, Masters, 1st-4th, 10th, Doctorate, 5th-6th, Preschool
#;-) education <- sample(c("Bachelors", "Some-college", "11th", "HS-grad", "Prof-school", "Assoc-acdm", "Assoc-voc", "9th", "7th-8th", "12th", "Masters", "1st-4th", "10th", "Doctorate", "5th-6th", "Preschool"), n, replace = TRUE)
#;-)
#;-) # Introduce inconsistencies in education column
#;-) education[sample(1:n, 50)] <- "InvalidEducation"
#;-)
#;-) # Education Number: 1-16
#;-) education_num <- sample(1:16, n, replace = TRUE)
#;-)
#;-) # Marital Status: Married-civ-spouse, Divorced, Never-married, Separated, Widowed, Married-spouse-absent, Married-AF-spouse
#;-) marital_status <- sample(c("Married-civ-spouse", "Divorced", "Never-married", "Separated", "Widowed", "Married-spouse-absent", "Married-AF-spouse"), n, replace = TRUE)
#;-)
#;-) # Introduce missing values in marital_status column
#;-) marital_status[sample(1:n, 50)] <- NA
#;-)
#;-) # Occupation: Tech-support, Craft-repair, Other-service, Sales, Exec-managerial, Prof-specialty, Handlers-cleaners, Machine-op-inspct, Adm-clerical, Farming-fishing, Transport-moving, Priv-house-serv, Protective-serv, Armed-Forces
#;-) occupation <- sample(c("Tech-support", "Craft-repair", "Other-service", "Sales", "Exec-managerial", "Prof-specialty", "Handlers-cleaners", "Machine-op-inspct", "Adm-clerical", "Farming-fishing", "Transport-moving", "Priv-house-serv", "Protective-serv", "Armed-Forces"), n, replace = TRUE)
#;-)
#;-) # Introduce errors in occupation column
#;-) occupation[sample(1:n, 50)] <- "InvalidOccupation"
#;-)
#;-) # Relationship: Wife, Own-child, Husband, Not-in-family, Other-relative, Unmarried
#;-) relationship <- sample(c("Wife", "Own-child", "Husband", "Not-in-family", "Other-relative", "Unmarried"), n, replace = TRUE)
#;-)
#;-) # Introduce missing values in relationship column
#;-) relationship[sample(1:n, 50)] <- NA
#;-)
#;-) # Race: White, Asian-Pac-Islander, Amer-Indian-Eskimo, Other, Black
#;-) race <- sample(c("White", "Asian-Pac-Islander", "Amer-Indian-Eskimo", "Other", "Black"), n, replace = TRUE)
#;-)
#;-) # Introduce inconsistencies in race column
#;-) race[sample(1:n, 50)] <- "InvalidRace"
#;-)
#;-) # Sex: Female, Male
#;-) sex <- sample(c("Female", "Male"), n, replace = TRUE)
#;-)
#;-) # Introduce missing values in sex column
#;-) sex[sample(1:n, 50)] <- NA
#;-)
#;-) # Capital Gain: 0-99999
#;-) capital_gain <- sample(0:99999, n, replace = TRUE)
#;-)
#;-) # Introduce errors in capital_gain column
#;-) capital_gain[sample(1:n, 50)] <- -999
#;-)
#;-) # Capital Loss: 0-99999
#;-) capital_loss <- sample(0:99999, n, replace = TRUE)
#;-)
#;-) # Introduce errors in capital_loss column
#;-) capital_loss[sample(1:n, 50)] <- -999
#;-)
#;-) # Hours per week: 1-99
#;-) hours_per_week <- sample(1:99, n, replace = TRUE)
#;-)
#;-) # Introduce missing values in hours_per_week column
#;-) hours_per_week[sample(1:n, 50)] <- NA
#;-)
#;-) # Native country: United-States, Cambodia, England, ...
#;-) native_country <- sample(c("United-States", "Cambodia", "England", "Puerto-Rico", "Canada", "Germany", "Outlying-US(Guam-USVI-etc)", "India", "Japan", "Greece", "South", "China", "Cuba", "Iran", "Honduras", "Philippines", "Italy", "Poland", "Jamaica", "Vietnam", "Mexico", "Portugal", "Ireland", "France", "Dominican-Republic", "Laos", "Ecuador", "Taiwan", "Haiti", "Columbia", "Hungary", "Guatemala", "Nicaragua", "Scotland", "Thailand", "Yugoslavia", "El-Salvador", "Trinadad&Tobago", "Peru", "Hong", "Holand-Netherlands"), n, replace = TRUE)
#;-)
#;-) # Introduce missing values in native_country column
#;-) native_country[sample(1:n, 50)] <- NA
#;-)
#;-) # Income: <=50K, >50K
#;-) income <- sample(c("<=50K", ">50K"), n, replace = TRUE, prob = c(0.75, 0.25))
#;-)
#;-) # Create dataframe
#;-) sample_dirty_dataset <- data.frame(age, workclass, education, education_num, marital_status, occupation, relationship, race, sex, capital_gain, capital_loss, hours_per_week, native_country, income)
#;-)
#;-) # Print first few rows of the dataset
#;-) head(sample_dirty_dataset)
#;-) # replacing invalid values with NA
#;-) for (i in 1:nrow(sample_dirty_dataset)) {
#;-) for (j in 1:ncol(sample_dirty_dataset)) {
#;-) if (grepl("Invalid", sample_dirty_dataset[i, j])) {
#;-) sample_dirty_dataset[i, j] <- NA
#;-) }
#;-) }
#;-) }
#;-) # replacing negative values in gains and losses
#;-) sample_dirty_dataset$capital_gain[sample_dirty_dataset$capital_gain < 0] <- NA
#;-) sample_dirty_dataset$capital_loss[sample_dirty_dataset$capital_loss < 0] <- NA
#;-) head(sample_dirty_dataset)
#;-) # impute numerical values using median
#;-)
#;-) # identify numeric columns
#;-) numeric_cols <- sapply(sample_dirty_dataset, is.numeric)
#;-)
#;-) # impute NA values in numeric columns with the median of each column
#;-) dataset_imputed <- sample_dirty_dataset
#;-) dataset_imputed[, numeric_cols] <- lapply(dataset_imputed[, numeric_cols], function(x) {
#;-) x[is.na(x)] <- median(x, na.rm = TRUE)
#;-) return(x)
#;-) })
#;-) dataset_imputed
#;-)
#;-)
#;-) # removing non-imputable variables
#;-) dataset_clean <- dataset_imputed[complete.cases(dataset_imputed), ]
#;-) dataset_clean
Standard output and standard error
✖ Install the styler package in order to use `style = TRUE`.
pandoc.exe: \Diagn.html: withFile: permission denied (Permission denied)
Session info
sessionInfo()
#;-) R version 4.3.2 (2023-10-31 ucrt)
#;-) Platform: x86_64-w64-mingw32/x64 (64-bit)
#;-) Running under: Windows 11 x64 (build 22631)
#;-)
#;-) Matrix products: default
#;-)
#;-)
#;-) locale:
#;-) [1] LC_COLLATE=Polish_Poland.utf8 LC_CTYPE=Polish_Poland.utf8
#;-) [3] LC_MONETARY=Polish_Poland.utf8 LC_NUMERIC=C
#;-) [5] LC_TIME=Polish_Poland.utf8
#;-)
#;-) time zone: Europe/Warsaw
#;-) tzcode source: internal
#;-)
#;-) attached base packages:
#;-) [1] stats graphics grDevices utils datasets methods base
#;-)
#;-) other attached packages:
#;-) [1] htmltools_0.5.7 reactable_0.4.4 kableExtra_1.4.0 dlookr_0.6.3
#;-) [5] rrcov_1.7-5 robustbase_0.99-2 lubridate_1.9.3 forcats_1.0.0
#;-) [9] stringr_1.5.1 dplyr_1.1.4 purrr_1.0.2 readr_2.1.5
#;-) [13] tidyr_1.3.1 tibble_3.2.1 ggplot2_3.4.4 tidyverse_2.0.0
#;-)
#;-) loaded via a namespace (and not attached):
#;-) [1] tidyselect_1.2.0 viridisLite_0.4.2 farver_2.1.1
#;-) [4] fastmap_1.1.1 pagedown_0.20 fontquiver_0.2.1
#;-) [7] promises_1.2.1 reprex_2.1.0 digest_0.6.34
#;-) [10] timechange_0.3.0 mime_0.12 lifecycle_1.0.4
#;-) [13] ellipsis_0.3.2 gfonts_0.2.0 magrittr_2.0.3
#;-) [16] compiler_4.3.2 rlang_1.1.3 sass_0.4.8
#;-) [19] tools_4.3.2 utf8_1.2.4 yaml_2.3.8
#;-) [22] knitr_1.45 labeling_0.4.3 htmlwidgets_1.6.4
#;-) [25] curl_5.2.0 xml2_1.3.6 showtextdb_3.0
#;-) [28] httpcode_0.3.0 withr_3.0.0 grid_4.3.2
#;-) [31] pcaPP_2.0-4 stats4_4.3.2 fansi_1.0.6
#;-) [34] sysfonts_0.8.9 gdtools_0.3.7 xtable_1.8-4
#;-) [37] colorspace_2.1-0 extrafontdb_1.0 scales_1.3.0
#;-) [40] crul_1.4.0 cli_3.6.2 mvtnorm_1.2-4
#;-) [43] rmarkdown_2.25 crayon_1.5.2 generics_0.1.3
#;-) [46] rstudioapi_0.15.0 tzdb_0.4.0 cachem_1.0.8
#;-) [49] base64enc_0.1-3 vctrs_0.6.5 jsonlite_1.8.8
#;-) [52] fontBitstreamVera_0.1.1 bookdown_0.38 hms_1.1.3
#;-) [55] systemfonts_1.0.5 fontawesome_0.5.2 jquerylib_0.1.4
#;-) [58] glue_1.7.0 reactR_0.5.0 DEoptimR_1.1-3
#;-) [61] stringi_1.8.3 gtable_0.3.4 later_1.3.2
#;-) [64] extrafont_0.19 munsell_0.5.0 pillar_1.9.0
#;-) [67] showtext_0.9-7 R6_2.5.1 evaluate_0.23
#;-) [70] shiny_1.8.1.1 lattice_0.21-9 highr_0.10
#;-) [73] fontLiberation_0.1.0 httpuv_1.6.15 bslib_0.6.1
#;-) [76] hrbrthemes_0.8.7 Rcpp_1.0.12 svglite_2.1.3
#;-) [79] gridExtra_2.3 Rttf2pt1_1.3.12 xfun_0.42
#;-) [82] fs_1.6.3 pkgconfig_2.0.3