Data Wrangling and Visualization
Final Project
Mohamed Abdilahi Abdi
ID= 253172
Assignment Instructions
- Write your full name and ID on the YAML header of your R Markdown file.
- Before answering the questions, load all required packages and the
diabetes.csvdataset. - Submit your work as a PDF file named:
firstname-middlename-lastname. - Send your submission to
mohamoud.hussein@uoh.edu.sowith the subject line:firstname-middlename-lastname. - Submit your work before 02 March 2026, 11:59 PM.
Questions & Tasks
Q1: How many observations and how many variables?
library(tidyverse)
library(dplyr)
diabetes<- read.csv("diabetes.csv")
diabetes## id chol stab.glu hdl ratio glyhb location age gender height weight
## 1 1000 203 82 56 3.6 4.31 Buckingham 46 female 62 121
## 2 1001 165 97 24 6.9 4.44 Buckingham 29 female 64 218
## 3 1002 228 92 37 6.2 4.64 Buckingham 58 female 61 256
## 4 1003 78 93 12 6.5 4.63 Buckingham 67 male 67 119
## 5 1005 249 90 28 8.9 7.72 Buckingham 64 male 68 183
## 6 1008 248 94 69 3.6 4.81 Buckingham 34 male 71 190
## 7 1011 195 92 41 4.8 4.84 Buckingham 30 male 69 191
## 8 1015 227 75 44 5.2 3.94 Buckingham 37 male 59 170
## 9 1016 177 87 49 3.6 4.84 Buckingham 45 male 69 166
## 10 1022 263 89 40 6.6 5.78 Buckingham 55 female 63 202
## 11 1024 242 82 54 4.5 4.77 Louisa 60 female 65 156
## 12 1029 215 128 34 6.3 4.97 Louisa 38 female 58 195
## 13 1030 238 75 36 6.6 4.47 Louisa 27 female 60 170
## 14 1031 183 79 46 4.0 4.59 Louisa 40 female 59 165
## 15 1035 191 76 30 6.4 4.67 Louisa 36 male 69 183
## 16 1036 213 83 47 4.5 3.41 Louisa 33 female 65 157
## 17 1037 255 78 38 6.7 4.33 Louisa 50 female 65 183
## 18 1041 230 112 64 3.6 4.53 Louisa 20 male 67 159
## 19 1045 194 81 36 5.4 5.28 Louisa 36 male 64 126
## 20 1250 196 206 41 4.8 11.24 Buckingham 62 female 65 196
## 21 1252 186 97 50 3.7 6.49 Buckingham 70 male 67 178
## 22 1253 234 65 76 3.1 4.67 Buckingham 47 male 67 230
## 23 1254 203 299 43 4.7 12.74 Buckingham 38 female 69 288
## 24 1256 281 92 41 6.9 5.56 Buckingham 66 female 62 185
## 25 1271 228 66 45 5.1 4.61 Buckingham 24 female 61 113
## 26 1277 179 80 92 1.9 4.18 Buckingham 41 female 72 118
## 27 1280 232 87 30 7.7 5.10 Buckingham 37 male 68 252
## 28 1281 NA 74 NA NA 4.28 Buckingham 48 male 68 100
## 29 1282 254 84 52 4.9 4.52 Buckingham 43 female 62 145
## 30 1285 215 72 42 5.1 4.37 Louisa 40 male 70 189
## 31 1301 177 101 36 4.9 5.11 Buckingham 42 female 65 174
## 32 1303 182 85 43 4.2 4.47 Buckingham 52 male 68 139
## 33 1304 265 330 34 7.8 15.52 Buckingham 61 male 74 191
## 34 1305 182 85 37 4.9 5.66 Buckingham 61 female 69 174
## 35 1309 199 87 63 3.2 3.67 Buckingham 25 male 66 118
## 36 1312 183 81 60 3.1 4.03 Buckingham 47 female 66 186
## 37 1313 194 86 67 2.9 2.68 Buckingham 35 male 66 159
## 38 1314 190 107 32 5.9 3.56 Buckingham 46 male 72 205
## 39 1315 173 80 57 3.0 6.21 Buckingham 57 male 71 145
## 40 1316 182 206 43 4.2 7.91 Buckingham 70 male 69 214
## 41 1317 136 81 51 2.7 4.58 Buckingham 22 female 66 160
## 42 1321 218 68 46 4.7 3.89 Buckingham 52 female 62 170
## 43 1323 225 83 42 5.4 4.38 Buckingham 36 male 67 192
## 44 1326 262 84 38 6.9 NA Buckingham 43 male 75 253
## 45 1500 213 76 40 5.3 5.96 Buckingham 72 female 59 137
## 46 1501 243 52 59 4.1 4.41 Buckingham 37 female 64 233
## 47 1502 148 193 14 10.6 6.14 Buckingham 54 female 67 165
## 48 2004 128 223 24 5.3 10.90 Buckingham 60 male 67 196
## 49 2750 169 85 51 3.3 6.14 Buckingham 40 female 65 180
## 50 2753 157 74 47 3.3 5.57 Buckingham 55 female 66 219
## 51 2754 196 82 58 3.4 4.25 Buckingham 76 male 65 154
## 52 2756 237 87 41 5.8 5.35 Buckingham 43 female 64 181
## 53 2757 212 97 45 4.7 6.33 Buckingham 65 female 61 187
## 54 2758 233 92 39 6.0 4.56 Buckingham 45 female 64 167
## 55 2762 289 111 50 5.8 9.39 Buckingham 70 female 60 220
## 56 2763 193 106 63 3.1 6.35 Buckingham 20 female 68 274
## 57 2765 204 128 61 3.3 5.20 Buckingham 62 male 68 180
## 58 2770 165 94 69 2.4 4.98 Buckingham 92 female 62 217
## 59 2773 237 233 58 4.1 13.70 Buckingham 49 female 62 189
## 60 2774 218 88 39 5.6 NA Buckingham 44 female 66 191
## 61 2775 296 262 60 4.9 10.93 Buckingham 74 female 63 183
## 62 2777 178 78 59 3.0 5.23 Buckingham 36 male 70 161
## 63 2778 443 185 23 19.3 14.31 Buckingham 51 female 70 235
## 64 2780 145 85 29 5.0 3.99 Buckingham 38 female NA 125
## 65 2784 234 80 63 3.7 NA Buckingham 31 male 70 165
## 66 2785 146 77 60 2.4 4.27 Buckingham 28 female 64 126
## 67 2787 223 75 85 2.6 4.25 Buckingham 22 female 62 137
## 68 2791 213 203 75 2.8 11.41 Buckingham 71 female 63 165
## 69 2793 173 131 69 2.5 4.44 Buckingham 76 female 61 102
## 70 2794 232 184 114 2.0 8.40 Buckingham 91 female 61 127
## 71 2795 171 92 54 3.2 4.59 Buckingham 40 male 71 214
## 72 3250 164 86 40 4.1 5.23 Buckingham 23 female 69 245
## 73 3750 170 69 64 2.7 4.39 Buckingham 20 female 64 161
## 74 3751 180 84 69 2.6 5.20 Buckingham 40 female 68 264
## 75 3752 204 57 74 2.8 6.11 Buckingham 52 male 75 142
## 76 4000 209 113 65 3.2 7.44 Buckingham 76 female 60 143
## 77 4500 242 108 53 4.6 5.47 Buckingham 46 female 62 183
## 78 4501 134 105 42 3.2 4.29 Buckingham 48 male 70 173
## 79 4506 217 81 60 3.6 3.93 Buckingham 22 female 71 223
## 80 4515 251 94 36 7.0 6.96 Buckingham 58 female 63 154
## 81 4517 217 88 40 5.4 4.84 Buckingham 34 male 73 219
## 82 4750 300 103 44 6.8 5.18 Louisa 61 female 67 169
## 83 4751 218 87 38 5.7 5.52 Louisa 40 male 73 200
## 84 4753 189 96 47 4.0 4.38 Louisa 28 female 64 200
## 85 4758 185 84 52 3.6 5.28 Louisa 53 female 61 145
## 86 4759 206 85 46 4.5 4.82 Louisa 67 male 67 178
## 87 4760 218 182 54 4.0 10.55 Louisa 51 female NA 215
## 88 4761 189 75 72 2.6 4.86 Louisa 49 female 62 205
## 89 4763 229 95 74 3.1 4.86 Louisa 65 female 62 151
## 90 4767 228 76 53 4.3 4.11 Louisa 54 male 66 170
## 91 4770 159 88 43 3.7 5.02 Louisa 38 male 68 169
## 92 4771 249 197 44 5.7 9.17 Louisa 64 female 63 159
## 93 4772 170 106 42 4.0 5.11 Louisa 41 female 61 110
## 94 4776 174 125 44 4.0 5.07 Louisa 67 male 68 198
## 95 4780 204 62 70 2.9 4.84 Louisa 27 female 67 185
## 96 4783 203 84 75 2.7 4.10 Louisa 21 female 63 142
## 97 4786 241 86 63 3.8 4.79 Louisa 41 female 59 139
## 98 4787 245 120 39 6.3 7.79 Louisa 47 female 63 156
## 99 4789 143 91 37 3.9 5.15 Louisa 61 female 65 220
## 100 4790 224 341 33 6.8 10.15 Louisa 65 male 67 197
## 101 4792 168 69 45 3.7 4.17 Louisa 28 female 63 200
## 102 4793 184 79 39 4.7 4.05 Louisa 41 male 69 154
## 103 4794 199 130 48 4.1 5.44 Louisa 37 female 61 203
## 104 4795 158 91 48 3.3 4.31 Louisa 50 male 71 180
## 105 4796 209 176 55 3.8 9.77 Louisa 57 female 61 150
## 106 4801 214 111 59 3.6 3.89 Louisa 28 male 68 204
## 107 4802 293 85 94 3.1 5.17 Louisa 31 female 67 200
## 108 4803 227 105 44 5.2 5.71 Louisa 83 female 59 125
## 109 4805 292 235 55 5.3 7.87 Buckingham 79 male 70 165
## 110 4808 218 80 71 3.1 NA Buckingham 68 male 70 170
## 111 4813 244 101 36 6.8 4.66 Buckingham 32 male 70 212
## 112 4818 283 83 74 3.8 4.22 Louisa 26 male 72 227
## 113 4821 186 74 76 2.4 5.17 Louisa 36 male 69 150
## 114 4822 273 94 49 5.6 3.76 Louisa 53 female 64 174
## 115 4823 193 77 49 3.9 4.31 Louisa 19 female 61 119
## 116 4825 194 80 34 5.7 4.61 Buckingham 63 male 73 175
## 117 4826 231 105 61 3.8 NA Buckingham 58 female 63 230
## 118 4827 217 78 48 4.5 NA Buckingham 53 female 63 158
## 119 4833 174 173 34 5.1 5.35 Buckingham 50 male 70 263
## 120 4835 225 84 82 2.7 4.36 Buckingham 41 male 71 156
## 121 4840 268 85 51 5.3 4.41 Louisa 48 male 70 120
## 122 4841 195 108 46 4.2 8.45 Louisa 59 female 67 172
## 123 4842 179 70 52 3.4 3.98 Louisa 34 male 72 170
## 124 4843 215 119 44 3.9 9.76 Louisa 63 female 63 158
## 125 10000 185 76 58 3.2 4.83 Buckingham 23 male 76 164
## 126 10001 132 99 34 3.9 4.01 Buckingham 21 female 65 169
## 127 10012 175 91 42 4.2 3.84 Louisa 23 female 65 235
## 128 10014 179 81 35 5.1 4.95 Buckingham 36 female 63 125
## 129 10016 228 115 61 3.7 6.39 Buckingham 71 female 63 244
## 130 10020 181 177 24 7.5 7.53 Buckingham 64 male 71 225
## 131 12002 160 100 36 4.4 4.62 Louisa 43 female 64 140
## 132 12004 188 77 45 4.2 4.79 Louisa 31 female 67 227
## 133 12005 168 101 59 2.8 5.09 Louisa 44 female 64 160
## 134 12006 318 270 108 2.9 6.51 Louisa 60 female 65 167
## 135 12501 192 109 44 4.4 4.86 Buckingham 43 female 64 325
## 136 12502 209 87 34 6.1 4.41 Buckingham 48 female 63 121
## 137 12506 129 110 42 3.1 6.13 Buckingham 56 male 74 151
## 138 12507 160 122 41 3.9 6.49 Buckingham 55 female 67 223
## 139 12509 160 196 33 4.8 7.51 Buckingham 49 male 71 266
## 140 12751 211 48 34 6.2 6.97 Louisa 58 male 67 177
## 141 12754 262 93 43 6.1 4.90 Louisa 33 female 63 170
## 142 12760 201 81 87 2.3 4.81 Buckingham 48 female 68 146
## 143 12761 263 82 92 2.9 4.58 Buckingham 66 female 66 121
## 144 12763 219 112 73 3.0 9.18 Buckingham 59 male 66 170
## 145 12765 191 83 88 2.2 5.46 Buckingham 45 female 67 151
## 146 12766 171 97 69 2.5 4.04 Buckingham 52 male 71 159
## 147 12768 219 112 73 3.0 5.23 Buckingham 76 male 64 105
## 148 12769 347 197 42 8.3 6.34 Buckingham 36 male 70 277
## 149 12772 269 73 34 7.9 5.37 Buckingham 41 female 62 160
## 150 12778 164 71 63 2.6 4.51 Buckingham 20 male 72 145
## 151 13250 181 255 26 7.0 9.58 Buckingham 50 male 71 320
## 152 13254 190 84 44 4.3 5.55 Buckingham 43 female 62 163
## 153 13500 255 112 34 7.5 5.60 Louisa 82 male 66 163
## 154 13501 218 126 32 6.8 4.87 Louisa 35 male 69 169
## 155 13503 223 90 48 4.6 5.60 Buckingham 47 female 65 232
## 156 13505 254 342 37 6.9 12.97 Buckingham 75 male 68 210
## 157 14756 236 102 36 6.6 5.63 Buckingham 62 male 76 160
## 158 14758 176 92 55 3.2 4.50 Buckingham 31 female 62 145
## 159 15007 158 91 31 5.1 5.56 Louisa 50 male 70 215
## 160 15008 181 83 44 4.1 4.03 Louisa 39 female 66 255
## 161 15010 151 85 48 3.1 4.38 Louisa 33 male 69 308
## 162 15012 115 239 36 3.2 13.60 Louisa 58 male 69 NA
## 163 15013 271 121 40 6.8 4.57 Louisa 81 female 64 158
## 164 15016 190 92 44 4.3 4.66 Louisa 27 female 65 210
## 165 15017 118 95 39 3.0 4.71 Louisa 47 female 64 123
## 166 15250 168 82 44 3.8 4.40 Buckingham 33 female 66 118
## 167 15252 254 121 39 6.5 9.25 Buckingham 67 male 68 167
## 168 15260 193 77 45 4.3 4.74 Buckingham 42 female 75 186
## 169 15264 187 84 64 2.9 4.40 Buckingham 21 female 63 158
## 170 15271 212 79 49 4.3 5.49 Buckingham 51 female 65 145
## 171 15274 170 76 60 2.8 3.44 Buckingham 27 female 63 119
## 172 15276 215 110 36 6.0 9.82 Louisa 51 female 67 282
## 173 15277 199 85 59 3.4 4.96 Louisa 71 male 69 171
## 174 15278 140 385 31 4.5 11.59 Louisa 50 male 69 172
## 175 15279 216 79 46 4.7 4.41 Louisa 54 female 65 138
## 176 15500 204 113 35 5.8 4.44 Buckingham 59 male 73 187
## 177 15501 193 248 24 8.0 7.14 Buckingham 59 female 66 189
## 178 15502 267 133 34 7.9 8.81 Louisa 40 female 59 204
## 179 15512 201 106 53 3.8 5.35 Louisa 58 male 66 215
## 180 15513 204 120 44 4.6 4.69 Louisa 72 male 65 167
## 181 15514 246 104 62 4.0 7.40 Louisa 66 female 66 189
## 182 15515 229 91 43 5.3 4.73 Louisa 23 male 72 180
## 183 15516 172 101 46 3.7 4.52 Louisa 42 female 65 165
## 184 15517 197 120 37 5.3 4.95 Louisa 43 male 71 179
## 185 15518 205 79 32 6.4 4.21 Louisa 75 male 69 204
## 186 15519 219 106 50 4.4 4.56 Louisa 65 female 63 233
## 187 15520 174 90 36 4.8 5.35 Louisa 34 male 71 210
## 188 15521 192 89 30 6.4 4.04 Louisa 37 male 71 195
## 189 15522 206 94 44 4.7 5.49 Louisa 61 female 63 199
## 190 15527 160 71 44 3.6 4.64 Louisa 36 female 64 185
## 191 15529 216 109 86 2.5 4.40 Louisa 45 female 67 147
## 192 15540 236 111 82 2.9 5.24 Louisa 68 female 61 119
## 193 15542 205 88 41 5.0 NA Louisa 57 male 66 171
## 194 15545 206 112 33 6.2 4.03 Louisa 41 female 62 184
## 195 15546 143 371 46 3.1 4.81 Louisa 68 male 67 158
## 196 15757 173 83 37 4.7 4.31 Buckingham 40 female NA 130
## 197 15758 235 91 37 6.4 5.23 Buckingham 79 female 65 134
## 198 15760 169 95 29 5.8 5.22 Buckingham 62 male 66 251
## 199 15761 283 145 39 7.3 8.25 Buckingham 63 female 61 200
## 200 15762 174 93 77 2.3 4.95 Buckingham 55 male 70 140
## 201 15763 271 103 90 3.0 4.01 Buckingham 55 female 63 114
## 202 15766 203 94 62 3.3 4.67 Buckingham 27 female 67 209
## 203 15773 188 174 24 7.8 6.17 Louisa 66 male 68 210
## 204 15777 293 87 120 2.4 4.76 Louisa 63 female 64 179
## 205 15779 215 80 100 2.2 4.66 Louisa 78 male 65 109
## 206 15782 207 77 46 4.5 4.82 Buckingham 68 male 55 130
## 207 15787 179 77 72 2.5 4.97 Buckingham 31 male 66 145
## 208 15792 202 81 55 3.7 5.50 Buckingham 64 female 62 167
## 209 15795 211 98 40 5.3 3.55 Buckingham 40 female 68 179
## 210 15797 211 225 29 7.3 10.09 Buckingham 61 female 63 144
## 211 15798 151 74 47 3.2 4.01 Buckingham 28 male 69 130
## 212 15799 171 85 61 2.8 5.10 Buckingham 34 female 63 164
## 213 15800 342 251 48 7.1 12.67 Buckingham 63 female 65 201
## 214 15801 179 236 63 2.8 12.07 Buckingham 55 male 75 186
## 215 15802 155 58 69 2.2 4.17 Buckingham 26 male 73 174
## 216 15805 197 92 46 4.3 4.75 Buckingham 36 female 64 136
## 217 15812 200 56 51 3.9 3.55 Buckingham 40 female 62 105
## 218 15813 237 96 52 4.6 NA Buckingham 45 male 69 130
## 219 15814 198 118 46 4.3 4.44 Buckingham 68 female 63 124
## 220 15815 240 88 49 4.9 4.92 Buckingham 82 female 63 170
## 221 15816 192 56 42 4.6 4.59 Buckingham 60 female 62 134
## 222 15818 145 84 54 2.7 4.73 Buckingham 30 female 65 165
## 223 15820 269 59 66 4.1 5.14 Buckingham 41 male 67 191
## 224 15821 240 96 57 4.2 5.74 Buckingham 54 female 65 175
## 225 15827 205 83 42 4.9 4.87 Buckingham 72 female 61 180
## 226 15828 266 82 54 4.9 5.41 Buckingham 47 male 68 142
## 227 16000 188 88 51 3.7 5.13 Buckingham 50 female 61 147
## 228 16001 222 82 87 2.6 4.64 Buckingham 51 female 66 110
## 229 16003 142 155 25 5.7 6.96 Buckingham 45 male 69 204
## 230 16004 268 90 48 5.6 5.36 Buckingham 38 female 63 181
## 231 16005 174 105 117 1.5 5.53 Buckingham 20 male 70 187
## 232 16016 214 87 35 6.1 5.38 Buckingham 44 female NA 190
## 233 17002 194 54 57 3.4 4.26 Louisa 63 male 70 181
## 234 17751 196 115 62 3.2 4.34 Louisa 50 male 67 140
## 235 17752 207 187 46 4.5 8.57 Louisa 44 female 67 201
## 236 17754 204 89 56 3.6 5.02 Louisa 48 male 68 196
## 237 17755 189 84 46 4.1 4.36 Louisa 41 female 63 153
## 238 17756 179 77 50 3.6 3.33 Buckingham 29 male 68 170
## 239 17757 159 100 54 2.9 4.18 Buckingham 76 male 66 188
## 240 17760 260 68 60 4.3 4.78 Buckingham 69 female 59 179
## 241 17762 228 79 37 6.2 4.74 Buckingham 26 male 72 259
## 242 17765 242 74 55 4.4 3.97 Buckingham 70 female 66 200
## 243 17766 227 98 66 3.4 6.42 Buckingham 25 male 71 162
## 244 17767 208 122 51 4.1 6.48 Buckingham 42 female 62 141
## 245 17771 208 95 32 6.5 5.60 Buckingham 56 male 68 183
## 246 17772 209 89 43 4.9 4.85 Buckingham 31 female 67 160
## 247 17773 163 83 57 2.9 4.61 Buckingham 31 female 65 120
## 248 17776 201 100 46 4.4 4.10 Buckingham 27 female 65 145
## 249 17781 237 118 45 5.3 7.51 Buckingham 73 female 64 174
## 250 17784 176 90 34 5.2 4.24 Buckingham 32 female 63 252
## 251 17790 146 79 41 3.6 4.76 Buckingham 19 female 60 135
## 252 17791 231 70 110 2.1 3.75 Buckingham 71 female 63 155
## 253 17794 241 92 40 6.0 5.04 Buckingham 27 female 63 179
## 254 17795 305 91 44 6.9 5.34 Buckingham 31 male 71 211
## 255 17800 149 77 49 3.0 4.50 Buckingham 20 female 62 115
## 256 17802 183 69 51 3.6 4.37 Buckingham 31 female 66 190
## 257 17805 235 109 59 4.0 7.48 Buckingham 62 female 63 290
## 258 17808 244 101 39 6.3 4.36 Buckingham 44 male 71 168
## 259 17813 199 153 77 2.6 4.74 Buckingham 36 female 66 255
## 260 17814 224 85 30 7.5 5.26 Buckingham 36 male 69 205
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## 262 17817 192 124 31 5.6 5.17 Buckingham 30 male 72 250
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## 268 17834 195 171 29 6.7 5.68 Buckingham 78 male 66 172
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## 276 20261 163 69 48 3.4 4.31 Buckingham 29 female 62 99
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## 282 20278 293 115 54 5.4 4.87 Buckingham 50 male 71 170
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## 287 20292 219 105 63 3.5 4.40 Louisa 40 female 62 153
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## 291 20306 212 82 68 3.1 4.61 Louisa 63 male 70 161
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## 327 20787 298 84 50 6.0 NA Buckingham 28 male 66 209
## 328 20790 203 104 36 5.6 NA Buckingham 41 male 71 210
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## 330 21255 231 84 91 2.5 4.90 Buckingham 33 male 69 163
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## 336 21320 216 155 30 7.2 5.91 Louisa 38 male 68 145
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## 341 21333 189 80 40 4.7 3.62 Louisa 45 male 69 190
## 342 21334 225 74 36 6.3 4.66 Louisa 53 female 63 182
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## 344 21341 219 78 67 3.3 3.75 Louisa 53 female 64 179
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## 347 21346 181 77 46 3.9 4.09 Louisa 30 female 66 257
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## 353 40500 226 100 65 3.5 4.83 Louisa 27 male 69 289
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## 357 40754 235 106 37 6.4 6.78 Louisa 73 male 65 183
## 358 40755 184 99 36 5.1 4.16 Louisa 28 male 67 154
## 359 40762 242 297 34 7.1 12.16 Louisa 53 male 69 216
## 360 40764 307 87 58 5.3 4.28 Louisa 49 male 67 181
## 361 40772 204 94 54 3.8 4.16 Louisa 55 female 66 202
## 362 40773 212 88 36 5.9 5.22 Louisa 37 female 64 160
## 363 40774 203 90 51 4.0 14.94 Louisa 60 female 59 123
## 364 40775 219 173 31 7.1 10.16 Louisa 56 female 65 197
## 365 40784 226 279 52 4.3 10.07 Louisa 84 female 60 192
## 366 40785 217 75 54 4.0 3.66 Louisa 20 female 67 187
## 367 40786 157 92 47 3.3 6.48 Louisa 80 male 71 212
## 368 40787 235 102 42 5.6 4.90 Louisa 60 male 69 186
## 369 40789 252 161 87 2.9 11.18 Louisa 80 female 62 162
## 370 40792 204 71 55 3.7 4.33 Louisa 29 female 64 120
## 371 40797 188 84 46 4.1 3.75 Louisa 43 female 66 152
## 372 40799 194 95 36 5.4 4.97 Louisa 63 female 58 210
## 373 40803 215 64 84 2.6 4.04 Louisa 37 female 59 148
## 374 40804 179 105 60 3.0 4.68 Louisa 20 female 58 170
## 375 40805 202 84 33 6.1 4.17 Louisa 44 male 68 157
## 376 41000 194 87 65 3.0 4.14 Louisa 54 male 69 129
## 377 41001 227 85 26 8.7 4.98 Louisa 58 male 70 211
## 378 41003 337 85 62 5.4 4.66 Louisa 35 male 72 189
## 379 41004 255 83 90 2.8 4.29 Louisa 52 male 70 120
## 380 41021 162 90 46 3.5 5.56 Louisa 60 female 63 121
## 381 41023 322 87 92 3.5 4.45 Louisa 43 female 56 120
## 382 41029 289 267 38 7.6 11.41 Louisa 59 male 68 169
## 383 41034 217 87 40 5.4 4.07 Louisa 33 female 62 186
## 384 41035 209 91 36 5.8 5.01 Louisa 37 male 70 262
## 385 41036 214 77 48 4.5 4.48 Louisa 40 male 72 222
## 386 41037 302 81 57 5.3 4.65 Louisa 38 female 67 222
## 387 41039 179 85 52 3.4 4.05 Louisa 32 female 62 179
## 388 41041 279 270 40 7.0 8.11 Louisa 60 female 68 224
## 389 41055 144 81 28 5.1 4.13 Louisa 30 male 72 165
## 390 41063 270 73 40 6.8 3.58 Louisa 42 male 66 185
## 391 41065 196 120 67 2.9 9.37 Louisa 52 female 62 147
## 392 41075 221 126 48 4.6 5.53 Louisa 59 female 62 177
## 393 41078 210 81 81 2.6 4.96 Louisa 78 male 66 145
## 394 41253 192 85 69 2.8 4.38 Louisa 51 male 65 146
## 395 41254 169 104 58 2.9 4.82 Louisa 25 female 60 154
## 396 41500 179 85 50 3.6 4.99 Louisa 37 male 66 136
## 397 41501 216 84 64 3.4 NA Louisa 54 female 66 168
## 398 41503 301 90 118 2.6 4.28 Louisa 89 female 61 115
## 399 41506 296 369 46 6.4 16.11 Louisa 53 male 69 173
## 400 41507 284 89 54 5.3 4.39 Louisa 51 female 63 154
## 401 41510 194 269 38 5.1 13.63 Louisa 29 female 69 167
## 402 41752 199 76 52 3.8 4.49 Louisa 41 female 63 197
## 403 41756 159 88 79 2.0 NA Louisa 68 female 64 220
## frame bp.1s bp.1d bp.2s bp.2d waist hip time.ppn
## 1 medium 118 59 NA NA 29 38 720
## 2 large 112 68 NA NA 46 48 360
## 3 large 190 92 185 92 49 57 180
## 4 large 110 50 NA NA 33 38 480
## 5 medium 138 80 NA NA 44 41 300
## 6 large 132 86 NA NA 36 42 195
## 7 medium 161 112 161 112 46 49 720
## 8 medium NA NA NA NA 34 39 1020
## 9 large 160 80 128 86 34 40 300
## 10 small 108 72 NA NA 45 50 240
## 11 medium 130 90 130 90 39 45 300
## 12 medium 102 68 NA NA 42 50 90
## 13 medium 130 80 NA NA 35 41 720
## 14 medium NA NA NA NA 37 43 60
## 15 medium 100 66 NA NA 36 40 225
## 16 medium 130 90 120 96 37 41 240
## 17 medium 130 100 NA NA 37 43 180
## 18 medium 100 90 NA NA 31 39 1440
## 19 medium 110 76 NA NA 30 34 120
## 20 large 178 90 NA NA 46 51 540
## 21 large 148 88 148 84 42 41 1020
## 22 large 137 100 149 110 45 46 480
## 23 large 136 83 NA NA 48 55 240
## 24 large 158 88 160 88 48 44 285
## 25 medium 100 70 110 70 33 38 210
## 26 small 144 112 NA NA 28 36 780
## 27 large 140 95 NA NA 43 47 420
## 28 small 120 85 NA NA 27 33 510
## 29 medium 125 70 NA NA 31 38 720
## 30 medium 180 122 170 112 37 39 450
## 31 medium 146 94 139 89 37 40 540
## 32 large 130 90 NA NA 29 35 780
## 33 medium 170 88 168 80 39 41 225
## 34 medium 176 86 180 90 49 43 330
## 35 medium 120 78 NA NA 32 34 720
## 36 medium 140 97 NA NA 39 44 780
## 37 medium 115 64 NA NA 31 35 720
## 38 medium NA NA NA NA 46 49 240
## 39 medium 124 64 NA NA 31 36 30
## 40 large 158 90 160 96 45 48 840
## 41 large 105 85 NA NA 35 40 720
## 42 medium 142 79 NA NA 40 43 720
## 43 large 149 89 136 88 40 42 30
## 44 large 124 80 NA NA 43 49 300
## 45 large 130 60 NA NA 40 40 90
## 46 medium 110 82 NA NA 49 57 90
## 47 medium 140 65 NA NA 42 42 150
## 48 medium 110 68 NA NA 42 43 450
## 49 medium 106 82 NA NA 40 44 780
## 50 medium 150 82 142 78 43 52 360
## 51 158 78 140 84 37 41 120
## 52 medium 104 90 NA NA 36 46 240
## 53 large 158 94 149 96 43 47 360
## 54 large 124 86 NA NA 39 44 270
## 55 medium 126 80 NA NA 51 54 780
## 56 small 165 110 153 100 49 58 60
## 57 large 141 81 NA NA 38 41 540
## 58 large 160 82 NA NA 51 51 180
## 59 large 130 90 NA NA 43 47 195
## 60 large 138 79 NA NA 40 45 720
## 61 large 159 99 160 103 42 48 300
## 62 medium 130 79 NA NA 34 40 720
## 63 medium 158 98 148 88 43 48 420
## 64 NA NA NA NA 31 35 120
## 65 medium 121 71 NA NA 35 39 720
## 66 small 120 90 NA NA 28 32 180
## 67 medium 120 70 NA NA 28 35 960
## 68 medium 150 80 145 80 34 42 960
## 69 medium 160 60 160 60 31 33 1020
## 70 170 82 NA NA 35 38 120
## 71 medium 138 94 140 80 41 39 240
## 72 large 126 75 NA NA 44 47 420
## 73 medium 108 70 NA NA 37 40 120
## 74 medium 142 98 130 92 43 54 240
## 75 small 140 90 NA NA 31 35 300
## 76 large 156 78 144 76 35 40 1200
## 77 medium 130 86 NA NA 37 45 180
## 78 large 178 120 182 110 36 40 240
## 79 medium 120 75 NA NA 46 50 210
## 80 large 174 75 NA NA 38 41 180
## 81 medium 145 100 NA NA 41 42 270
## 82 small 138 78 NA NA 40 44 10
## 83 small 120 76 NA NA 38 41 210
## 84 medium 136 52 NA NA 38 45 60
## 85 medium 147 72 NA NA 37 40 420
## 86 large 119 68 NA NA 37 41 780
## 87 large 139 69 NA NA 42 53 720
## 88 medium 120 80 NA NA 40 49 840
## 89 medium 125 64 NA NA 37 42 660
## 90 large 121 62 NA NA 36 41 420
## 91 large 138 79 NA NA 34 40 690
## 92 medium 151 85 148 79 33 41 1140
## 93 small 103 64 NA NA 29 30 120
## 94 large 119 72 NA NA 36 43 60
## 95 medium 110 90 NA NA 35 44 10
## 96 medium 125 85 117 68 28 39 900
## 97 medium 112 72 NA NA 29 39 1560
## 98 medium 142 102 156 106 35 39 120
## 99 large 160 92 150 98 40 50 20
## 100 medium 160 80 158 80 42 43 390
## 101 large 111 65 NA NA 42 46 780
## 102 large 136 96 130 94 34 39 600
## 103 large 136 84 NA NA 42 51 10
## 104 medium 136 90 126 84 36 40 45
## 105 small 115 68 NA NA 36 39 780
## 106 medium 130 90 NA NA 40 41 60
## 107 medium 110 90 NA NA 41 42 240
## 108 medium 150 90 156 88 35 40 300
## 109 170 90 170 100 39 41 240
## 110 large 130 73 NA NA 37 42 720
## 111 132 90 NA NA 39 44 NA
## 112 large 158 104 158 108 41 44 330
## 113 small 138 82 NA NA 31 38 60
## 114 medium 160 96 162 96 34 43 30
## 115 small 118 70 NA NA 32 38 300
## 116 medium 131 88 NA NA 34 39 30
## 117 large 141 99 NA NA 39 48 30
## 118 medium 139 79 NA NA 33 40 720
## 119 large 159 99 150 89 51 64 210
## 120 small 150 80 NA NA 31 40 120
## 121 small 150 105 150 100 32 35 120
## 122 small 150 102 150 100 38 43 300
## 123 medium 138 82 NA NA 31 39 1170
## 124 medium 160 68 158 74 34 42 240
## 125 small 124 78 NA NA 32 40 720
## 126 large 112 62 NA NA 39 43 180
## 127 medium 110 80 NA NA 44 50 10
## 128 medium 110 76 NA NA 33 36 240
## 129 large 170 92 NA NA 48 51 660
## 130 large 130 66 NA NA 44 47 180
## 131 small 180 110 210 110 37 40 225
## 132 medium 122 70 NA NA 47 53 140
## 133 small 130 88 NA NA 40 43 60
## 134 medium 132 72 NA NA 38 44 30
## 135 large 141 79 NA NA 53 62 60
## 136 small 111 62 NA NA 32 38 855
## 137 small 140 75 NA NA 34 38 90
## 138 medium 136 83 NA NA 43 48 960
## 139 large 150 98 NA NA 49 45 90
## 140 medium 162 78 156 82 38 43 315
## 141 medium 110 68 NA NA 33 46 210
## 142 small 145 95 NA NA 32 41 600
## 143 small 104 64 NA NA 31 33 30
## 144 medium 146 92 168 98 37 40 120
## 145 small 130 90 NA NA 33 38 1320
## 146 small 125 72 NA NA 33 39 750
## 147 medium 125 82 NA NA 29 33 60
## 148 large 140 86 NA NA 51 49 900
## 149 medium 126 90 NA NA 39 41 390
## 150 small 108 78 NA NA 29 36 1080
## 151 large 140 86 NA NA 56 49 30
## 152 large 135 88 NA NA 40 45 720
## 153 179 89 172 91 37 43 60
## 154 medium 139 90 136 86 39 41 720
## 155 large 120 86 NA NA 46 54 900
## 156 large 151 87 NA NA 44 45 15
## 157 large 150 80 NA NA 35 39 270
## 158 small 110 72 NA NA 36 42 720
## 159 large 138 89 137 79 40 45 720
## 160 medium 140 98 NA NA 46 54 210
## 161 large 110 90 NA NA 52 58 300
## 162 medium 125 69 NA NA 30 37 10
## 163 medium 146 76 NA NA 36 43 10
## 164 medium 150 106 160 116 39 47 60
## 165 small 140 76 NA NA 30 36 300
## 166 small 98 66 NA NA 29 35 150
## 167 large 161 118 151 111 36 39 60
## 168 medium 125 90 NA NA 37 46 60
## 169 small 138 88 NA NA 39 43 180
## 170 small 230 120 235 120 38 42 60
## 171 small 122 86 NA NA 28 37 270
## 172 medium 142 78 136 84 52 59 420
## 173 large 136 86 NA NA 38 40 240
## 174 large 138 66 NA NA 37 41 210
## 175 small 132 80 NA NA 33 39 990
## 176 medium 148 76 148 78 38 37 90
## 177 medium 140 90 NA NA 38 45 90
## 178 small 118 69 NA NA 40 47 780
## 179 large 186 102 190 110 46 44 360
## 180 large 140 72 NA NA 45 46 480
## 181 medium 200 94 208 90 45 46 195
## 182 small 110 78 NA NA 34 41 60
## 183 small 118 68 NA NA 33 45 150
## 184 medium 146 98 136 96 37 44 30
## 185 large 136 90 NA NA 44 42 120
## 186 large 140 90 136 86 40 53 45
## 187 medium 142 92 148 98 37 43 90
## 188 medium 136 96 130 98 36 43 630
## 189 medium 180 96 176 94 41 47 720
## 190 medium 110 80 NA NA 39 45 300
## 191 medium 140 102 148 102 32 38 80
## 192 small 142 96 140 86 29 37 135
## 193 medium 132 82 NA NA 37 40 210
## 194 small 104 80 NA NA 39 44 10
## 195 small 138 82 NA NA 37 43 90
## 196 small 122 76 NA NA 37 38 360
## 197 small 142 70 NA NA 34 38 240
## 198 large 118 72 NA NA 50 47 720
## 199 medium 190 110 170 90 44 48 720
## 200 medium 118 86 NA NA 32 33 120
## 201 small 180 105 165 105 30 37 15
## 202 medium 140 80 NA NA 34 43 780
## 203 large 160 78 158 84 45 48 60
## 204 medium 142 80 142 90 47 45 30
## 205 small 170 88 180 100 33 34 435
## 206 small 199 115 190 99 29 33 120
## 207 medium 131 79 NA NA 33 38 150
## 208 medium 190 118 NA NA 44 47 120
## 209 small 110 76 NA NA 37 43 60
## 210 medium 190 100 170 86 40 42 120
## 211 small 135 75 NA NA 29 35 720
## 212 medium 120 80 NA NA 34 43 60
## 213 medium 178 88 160 82 45 46 180
## 214 medium 122 74 NA NA 38 38 180
## 215 small 110 76 NA NA 30 35 180
## 216 small NA NA NA NA 32 37 NA
## 217 small 125 64 NA NA 26 33 720
## 218 small 137 74 NA NA 33 35 720
## 219 medium 130 70 NA NA 32 38 60
## 220 medium 180 86 NA NA 41 46 720
## 221 small 130 70 NA NA 31 40 90
## 222 small 102 56 NA NA 33 42 720
## 223 large 130 73 NA NA 38 41 240
## 224 medium 152 100 140 100 37 43 60
## 225 170 90 150 100 39 47 240
## 226 medium 118 78 NA NA 35 39 120
## 227 large 160 66 150 80 34 41 720
## 228 small 150 110 150 90 28 37 270
## 229 large 165 115 160 96 40 43 720
## 230 medium 142 100 144 110 38 46 210
## 231 medium 132 86 NA NA 37 41 210
## 232 large 140 75 NA NA 38 44 720
## 233 large 184 76 180 84 37 42 60
## 234 medium 176 110 150 102 35 37 60
## 235 large 150 74 146 76 46 49 30
## 236 medium 170 96 178 96 38 42 90
## 237 medium 130 80 NA NA 32 40 15
## 238 small 122 68 NA NA 38 39 300
## 239 large 116 53 NA NA 40 41 180
## 240 large 158 98 159 80 45 48 180
## 241 large 122 90 NA NA 48 49 720
## 242 medium 140 65 NA NA 41 47 180
## 243 medium 123 82 NA NA 35 39 900
## 244 large 118 78 NA NA 33 40 720
## 245 medium 131 75 NA NA 36 39 20
## 246 medium 108 58 NA NA 30 44 240
## 247 small 136 86 NA NA 29 40 240
## 248 small 121 75 NA NA 32 35 60
## 249 large 162 75 NA NA 38 44 300
## 250 medium 100 72 NA NA 45 58 180
## 251 medium 108 58 NA NA 33 40 240
## 252 small 150 78 NA NA 33 41 900
## 253 medium 120 75 NA NA 40 42 720
## 254 large 100 60 NA NA 40 45 540
## 255 small 105 82 NA NA 31 37 720
## 256 medium 125 70 NA NA 41 47 720
## 257 large 175 80 152 102 55 62 300
## 258 medium 140 89 NA NA 36 39 720
## 259 large 118 66 NA NA 47 52 360
## 260 medium 150 99 130 80 37 41 360
## 261 medium 150 98 142 90 42 47 60
## 262 medium 142 79 NA NA 43 51 120
## 263 large 106 82 NA NA 39 38 420
## 264 medium 130 82 NA NA 35 42 240
## 265 large 140 65 NA NA 42 39 270
## 266 large 140 70 NA NA 34 44 60
## 267 medium 108 76 NA NA 34 42 90
## 268 large 130 82 NA NA 40 40 60
## 269 large 150 99 150 85 50 49 840
## 270 medium 138 90 NA NA 36 47 90
## 271 small 130 96 130 90 39 41 480
## 272 medium 122 96 126 96 38 40 NA
## 273 small 118 61 NA NA 26 37 240
## 274 small 121 75 NA NA 31 36 720
## 275 medium 120 80 NA NA 43 45 720
## 276 small 125 60 NA NA 30 36 720
## 277 large 136 70 NA NA 45 49 150
## 278 small 140 90 NA NA 31 39 330
## 279 large 142 98 142 96 50 60 690
## 280 medium 130 78 NA NA 38 42 720
## 281 large 150 81 NA NA 36 45 300
## 282 medium 131 75 NA NA 34 39 120
## 283 127 71 NA NA 43 47 600
## 284 medium 126 78 NA NA 36 40 795
## 285 medium 148 82 158 80 38 49 135
## 286 small 140 86 128 74 33 39 240
## 287 small 106 82 NA NA 36 44 10
## 288 medium 132 80 NA NA 31 39 480
## 289 small 110 68 NA NA 31 39 10
## 290 medium 220 100 202 98 45 54 375
## 291 medium 180 110 190 114 37 40 30
## 292 large 100 70 NA NA 41 44 30
## 293 medium 212 114 210 112 38 46 150
## 294 medium 134 74 NA NA 44 47 270
## 295 medium 162 88 150 80 38 39 570
## 296 small 122 62 NA NA 32 38 720
## 297 small 138 80 NA NA 32 38 30
## 298 small 112 78 NA NA 28 35 120
## 299 medium 128 90 138 90 48 53 330
## 300 medium 148 92 138 84 38 46 10
## 301 small 130 76 NA NA 35 46 5
## 302 small 110 64 NA NA 40 49 60
## 303 small 122 64 NA NA 31 39 90
## 304 medium 136 86 NA NA 41 52 105
## 305 medium 172 124 176 124 33 40 30
## 306 medium 138 78 NA NA 36 48 1260
## 307 small 122 86 NA NA 32 39 390
## 308 small 120 68 NA NA 33 40 420
## 309 medium 110 80 NA NA 49 58 15
## 310 small 138 76 NA NA 33 38 420
## 311 small 138 84 NA NA 32 40 270
## 312 medium 250 100 NA NA 41 46 60
## 313 medium 138 88 NA NA 39 40 45
## 314 medium 116 76 NA NA 34 39 180
## 315 large 150 92 130 86 37 42 390
## 316 medium 138 84 NA NA 36 42 150
## 317 small 110 64 NA NA 31 38 15
## 318 small 120 60 NA NA 40 47 300
## 319 medium 130 75 NA NA 44 47 720
## 320 small 148 81 NA NA 31 37 240
## 321 small 135 88 NA NA 30 34 15
## 322 small 140 94 130 95 36 43 330
## 323 small 110 58 NA NA 33 38 120
## 324 small 145 72 142 70 35 39 30
## 325 large 142 81 NA NA 43 49 480
## 326 small 118 62 NA NA 35 41 180
## 327 medium 131 111 130 80 42 46 300
## 328 140 112 138 89 37 42 30
## 329 large 140 87 NA NA 53 56 240
## 330 small 140 70 NA NA 35 38 150
## 331 medium 130 75 NA NA 40 41 180
## 332 small 128 94 124 96 39 43 270
## 333 142 78 141 80 47 58 10
## 334 small 136 88 NA NA 33 39 300
## 335 medium 128 82 NA NA 37 43 240
## 336 medium 110 60 NA NA 34 37 20
## 337 medium 108 68 NA NA NA NA 330
## 338 medium 152 92 162 92 42 49 20
## 339 small 90 48 NA NA 35 38 240
## 340 medium 122 90 NA NA 43 46 150
## 341 large 140 75 NA NA 39 44 300
## 342 large 126 80 NA NA 38 46 540
## 343 small 130 82 NA NA 40 52 240
## 344 medium 135 100 170 98 39 47 150
## 345 small 122 74 NA NA 48 51 150
## 346 medium 135 80 NA NA 34 46 30
## 347 medium 162 108 158 110 47 55 60
## 348 large 140 72 NA NA 39 41 195
## 349 110 80 NA NA 41 45 90
## 350 large 172 110 168 108 41 45 180
## 351 medium 138 92 135 88 32 37 450
## 352 medium 142 90 142 92 42 54 225
## 353 large 130 100 170 114 48 51 75
## 354 small 140 98 142 102 36 40 195
## 355 large 178 100 170 96 47 52 210
## 356 medium 162 90 152 90 33 42 180
## 357 large 134 78 NA NA 43 46 195
## 358 small 124 94 110 74 35 38 330
## 359 large 142 96 142 98 43 45 285
## 360 small 120 80 NA NA 41 42 240
## 361 small 140 90 140 90 43 47 150
## 362 small 124 82 NA NA 37 45 15
## 363 medium 130 72 NA NA 36 41 60
## 364 small 100 50 NA NA 41 50 210
## 365 small 144 88 146 82 41 48 210
## 366 medium 110 72 NA NA 40 45 1440
## 367 medium 156 88 158 86 47 48 390
## 368 medium 148 98 130 100 40 42 900
## 369 small 160 100 160 100 44 41 1440
## 370 small 110 70 NA NA 33 38 90
## 371 small 122 80 NA NA 37 41 260
## 372 medium 140 100 136 100 44 53 240
## 373 medium 140 100 136 92 32 42 270
## 374 medium 140 100 138 82 34 46 270
## 375 small 125 80 NA NA 33 37 180
## 376 small 170 96 160 94 30 37 15
## 377 large 144 82 144 80 38 43 480
## 378 medium 124 84 NA NA 36 44 240
## 379 medium 170 110 166 108 30 33 780
## 380 medium 110 64 NA NA 32 34 300
## 381 120 98 122 100 32 41 60
## 382 large 142 79 NA NA 36 38 900
## 383 small 140 90 138 84 42 46 40
## 384 medium 130 94 130 88 42 48 450
## 385 medium 120 84 NA NA 40 44 1020
## 386 medium 128 82 NA NA 41 51 210
## 387 medium 140 96 148 100 37 47 60
## 388 large 174 90 174 84 48 50 180
## 389 small 118 78 NA NA 31 38 180
## 390 large 146 94 149 94 39 41 30
## 391 medium 144 94 142 92 34 42 480
## 392 medium 130 78 NA NA 39 45 60
## 393 large 110 70 NA NA 38 39 540
## 394 large 130 110 170 118 NA NA 60
## 395 medium 140 95 130 94 40 42 60
## 396 medium 190 94 172 100 33 39 480
## 397 medium 132 90 126 80 38 42 330
## 398 medium 218 90 238 90 31 41 210
## 399 medium 138 94 130 94 35 39 210
## 400 medium 140 100 146 102 32 43 180
## 401 small 120 70 NA NA 33 40 20
## 402 medium 120 78 NA NA 41 48 255
## 403 medium 100 72 NA NA 49 58 900dim(diabetes)## [1] 403 19# or
glimpse(diabetes)## Rows: 403
## Columns: 19
## $ id <int> 1000, 1001, 1002, 1003, 1005, 1008, 1011, 1015, 1016, 1022, 1…
## $ chol <int> 203, 165, 228, 78, 249, 248, 195, 227, 177, 263, 242, 215, 23…
## $ stab.glu <int> 82, 97, 92, 93, 90, 94, 92, 75, 87, 89, 82, 128, 75, 79, 76, …
## $ hdl <int> 56, 24, 37, 12, 28, 69, 41, 44, 49, 40, 54, 34, 36, 46, 30, 4…
## $ ratio <dbl> 3.6, 6.9, 6.2, 6.5, 8.9, 3.6, 4.8, 5.2, 3.6, 6.6, 4.5, 6.3, 6…
## $ glyhb <dbl> 4.31, 4.44, 4.64, 4.63, 7.72, 4.81, 4.84, 3.94, 4.84, 5.78, 4…
## $ location <chr> "Buckingham", "Buckingham", "Buckingham", "Buckingham", "Buck…
## $ age <int> 46, 29, 58, 67, 64, 34, 30, 37, 45, 55, 60, 38, 27, 40, 36, 3…
## $ gender <chr> "female", "female", "female", "male", "male", "male", "male",…
## $ height <int> 62, 64, 61, 67, 68, 71, 69, 59, 69, 63, 65, 58, 60, 59, 69, 6…
## $ weight <int> 121, 218, 256, 119, 183, 190, 191, 170, 166, 202, 156, 195, 1…
## $ frame <chr> "medium", "large", "large", "large", "medium", "large", "medi…
## $ bp.1s <int> 118, 112, 190, 110, 138, 132, 161, NA, 160, 108, 130, 102, 13…
## $ bp.1d <int> 59, 68, 92, 50, 80, 86, 112, NA, 80, 72, 90, 68, 80, NA, 66, …
## $ bp.2s <int> NA, NA, 185, NA, NA, NA, 161, NA, 128, NA, 130, NA, NA, NA, N…
## $ bp.2d <int> NA, NA, 92, NA, NA, NA, 112, NA, 86, NA, 90, NA, NA, NA, NA, …
## $ waist <int> 29, 46, 49, 33, 44, 36, 46, 34, 34, 45, 39, 42, 35, 37, 36, 3…
## $ hip <int> 38, 48, 57, 38, 41, 42, 49, 39, 40, 50, 45, 50, 41, 43, 40, 4…
## $ time.ppn <int> 720, 360, 180, 480, 300, 195, 720, 1020, 300, 240, 300, 90, 7…Q2: Is this a tidy data set? Which three rules must be satisfied?
# three rules of tidy data is:
## each variable= one column.
## each observation= one row.
## each value= one cell.
# so, this data is tidy.
# the three rules are satisfied.Q3: When you run the chunk, then underneath each column name is
stated <chr> and <dbl> — what is
that?
# chr is shortened character, which means the column contains text.
# dbl is shortened double, which means the column contains numeric or numeric with decimals.Before starting
T1: Change the height, weight, waist and hip from the imperial system (inches/pounds) to the metric system (cm/kg), rounding to 1 decimal
diabetes_1<- diabetes %>% mutate(height_cm= round(height*2.54, 1), weight_kg=round(weight*0.4536, 1), waist_cm=round(waist*2.54, 1), hip_cm=round(hip*2.54, 1))
diabetes_1## id chol stab.glu hdl ratio glyhb location age gender height weight
## 1 1000 203 82 56 3.6 4.31 Buckingham 46 female 62 121
## 2 1001 165 97 24 6.9 4.44 Buckingham 29 female 64 218
## 3 1002 228 92 37 6.2 4.64 Buckingham 58 female 61 256
## 4 1003 78 93 12 6.5 4.63 Buckingham 67 male 67 119
## 5 1005 249 90 28 8.9 7.72 Buckingham 64 male 68 183
## 6 1008 248 94 69 3.6 4.81 Buckingham 34 male 71 190
## 7 1011 195 92 41 4.8 4.84 Buckingham 30 male 69 191
## 8 1015 227 75 44 5.2 3.94 Buckingham 37 male 59 170
## 9 1016 177 87 49 3.6 4.84 Buckingham 45 male 69 166
## 10 1022 263 89 40 6.6 5.78 Buckingham 55 female 63 202
## 11 1024 242 82 54 4.5 4.77 Louisa 60 female 65 156
## 12 1029 215 128 34 6.3 4.97 Louisa 38 female 58 195
## 13 1030 238 75 36 6.6 4.47 Louisa 27 female 60 170
## 14 1031 183 79 46 4.0 4.59 Louisa 40 female 59 165
## 15 1035 191 76 30 6.4 4.67 Louisa 36 male 69 183
## 16 1036 213 83 47 4.5 3.41 Louisa 33 female 65 157
## 17 1037 255 78 38 6.7 4.33 Louisa 50 female 65 183
## 18 1041 230 112 64 3.6 4.53 Louisa 20 male 67 159
## 19 1045 194 81 36 5.4 5.28 Louisa 36 male 64 126
## 20 1250 196 206 41 4.8 11.24 Buckingham 62 female 65 196
## 21 1252 186 97 50 3.7 6.49 Buckingham 70 male 67 178
## 22 1253 234 65 76 3.1 4.67 Buckingham 47 male 67 230
## 23 1254 203 299 43 4.7 12.74 Buckingham 38 female 69 288
## 24 1256 281 92 41 6.9 5.56 Buckingham 66 female 62 185
## 25 1271 228 66 45 5.1 4.61 Buckingham 24 female 61 113
## 26 1277 179 80 92 1.9 4.18 Buckingham 41 female 72 118
## 27 1280 232 87 30 7.7 5.10 Buckingham 37 male 68 252
## 28 1281 NA 74 NA NA 4.28 Buckingham 48 male 68 100
## 29 1282 254 84 52 4.9 4.52 Buckingham 43 female 62 145
## 30 1285 215 72 42 5.1 4.37 Louisa 40 male 70 189
## 31 1301 177 101 36 4.9 5.11 Buckingham 42 female 65 174
## 32 1303 182 85 43 4.2 4.47 Buckingham 52 male 68 139
## 33 1304 265 330 34 7.8 15.52 Buckingham 61 male 74 191
## 34 1305 182 85 37 4.9 5.66 Buckingham 61 female 69 174
## 35 1309 199 87 63 3.2 3.67 Buckingham 25 male 66 118
## 36 1312 183 81 60 3.1 4.03 Buckingham 47 female 66 186
## 37 1313 194 86 67 2.9 2.68 Buckingham 35 male 66 159
## 38 1314 190 107 32 5.9 3.56 Buckingham 46 male 72 205
## 39 1315 173 80 57 3.0 6.21 Buckingham 57 male 71 145
## 40 1316 182 206 43 4.2 7.91 Buckingham 70 male 69 214
## 41 1317 136 81 51 2.7 4.58 Buckingham 22 female 66 160
## 42 1321 218 68 46 4.7 3.89 Buckingham 52 female 62 170
## 43 1323 225 83 42 5.4 4.38 Buckingham 36 male 67 192
## 44 1326 262 84 38 6.9 NA Buckingham 43 male 75 253
## 45 1500 213 76 40 5.3 5.96 Buckingham 72 female 59 137
## 46 1501 243 52 59 4.1 4.41 Buckingham 37 female 64 233
## 47 1502 148 193 14 10.6 6.14 Buckingham 54 female 67 165
## 48 2004 128 223 24 5.3 10.90 Buckingham 60 male 67 196
## 49 2750 169 85 51 3.3 6.14 Buckingham 40 female 65 180
## 50 2753 157 74 47 3.3 5.57 Buckingham 55 female 66 219
## 51 2754 196 82 58 3.4 4.25 Buckingham 76 male 65 154
## 52 2756 237 87 41 5.8 5.35 Buckingham 43 female 64 181
## 53 2757 212 97 45 4.7 6.33 Buckingham 65 female 61 187
## 54 2758 233 92 39 6.0 4.56 Buckingham 45 female 64 167
## 55 2762 289 111 50 5.8 9.39 Buckingham 70 female 60 220
## 56 2763 193 106 63 3.1 6.35 Buckingham 20 female 68 274
## 57 2765 204 128 61 3.3 5.20 Buckingham 62 male 68 180
## 58 2770 165 94 69 2.4 4.98 Buckingham 92 female 62 217
## 59 2773 237 233 58 4.1 13.70 Buckingham 49 female 62 189
## 60 2774 218 88 39 5.6 NA Buckingham 44 female 66 191
## 61 2775 296 262 60 4.9 10.93 Buckingham 74 female 63 183
## 62 2777 178 78 59 3.0 5.23 Buckingham 36 male 70 161
## 63 2778 443 185 23 19.3 14.31 Buckingham 51 female 70 235
## 64 2780 145 85 29 5.0 3.99 Buckingham 38 female NA 125
## 65 2784 234 80 63 3.7 NA Buckingham 31 male 70 165
## 66 2785 146 77 60 2.4 4.27 Buckingham 28 female 64 126
## 67 2787 223 75 85 2.6 4.25 Buckingham 22 female 62 137
## 68 2791 213 203 75 2.8 11.41 Buckingham 71 female 63 165
## 69 2793 173 131 69 2.5 4.44 Buckingham 76 female 61 102
## 70 2794 232 184 114 2.0 8.40 Buckingham 91 female 61 127
## 71 2795 171 92 54 3.2 4.59 Buckingham 40 male 71 214
## 72 3250 164 86 40 4.1 5.23 Buckingham 23 female 69 245
## 73 3750 170 69 64 2.7 4.39 Buckingham 20 female 64 161
## 74 3751 180 84 69 2.6 5.20 Buckingham 40 female 68 264
## 75 3752 204 57 74 2.8 6.11 Buckingham 52 male 75 142
## 76 4000 209 113 65 3.2 7.44 Buckingham 76 female 60 143
## 77 4500 242 108 53 4.6 5.47 Buckingham 46 female 62 183
## 78 4501 134 105 42 3.2 4.29 Buckingham 48 male 70 173
## 79 4506 217 81 60 3.6 3.93 Buckingham 22 female 71 223
## 80 4515 251 94 36 7.0 6.96 Buckingham 58 female 63 154
## 81 4517 217 88 40 5.4 4.84 Buckingham 34 male 73 219
## 82 4750 300 103 44 6.8 5.18 Louisa 61 female 67 169
## 83 4751 218 87 38 5.7 5.52 Louisa 40 male 73 200
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## 403 41756 159 88 79 2.0 NA Louisa 68 female 64 220
## frame bp.1s bp.1d bp.2s bp.2d waist hip time.ppn height_cm weight_kg
## 1 medium 118 59 NA NA 29 38 720 157.5 54.9
## 2 large 112 68 NA NA 46 48 360 162.6 98.9
## 3 large 190 92 185 92 49 57 180 154.9 116.1
## 4 large 110 50 NA NA 33 38 480 170.2 54.0
## 5 medium 138 80 NA NA 44 41 300 172.7 83.0
## 6 large 132 86 NA NA 36 42 195 180.3 86.2
## 7 medium 161 112 161 112 46 49 720 175.3 86.6
## 8 medium NA NA NA NA 34 39 1020 149.9 77.1
## 9 large 160 80 128 86 34 40 300 175.3 75.3
## 10 small 108 72 NA NA 45 50 240 160.0 91.6
## 11 medium 130 90 130 90 39 45 300 165.1 70.8
## 12 medium 102 68 NA NA 42 50 90 147.3 88.5
## 13 medium 130 80 NA NA 35 41 720 152.4 77.1
## 14 medium NA NA NA NA 37 43 60 149.9 74.8
## 15 medium 100 66 NA NA 36 40 225 175.3 83.0
## 16 medium 130 90 120 96 37 41 240 165.1 71.2
## 17 medium 130 100 NA NA 37 43 180 165.1 83.0
## 18 medium 100 90 NA NA 31 39 1440 170.2 72.1
## 19 medium 110 76 NA NA 30 34 120 162.6 57.2
## 20 large 178 90 NA NA 46 51 540 165.1 88.9
## 21 large 148 88 148 84 42 41 1020 170.2 80.7
## 22 large 137 100 149 110 45 46 480 170.2 104.3
## 23 large 136 83 NA NA 48 55 240 175.3 130.6
## 24 large 158 88 160 88 48 44 285 157.5 83.9
## 25 medium 100 70 110 70 33 38 210 154.9 51.3
## 26 small 144 112 NA NA 28 36 780 182.9 53.5
## 27 large 140 95 NA NA 43 47 420 172.7 114.3
## 28 small 120 85 NA NA 27 33 510 172.7 45.4
## 29 medium 125 70 NA NA 31 38 720 157.5 65.8
## 30 medium 180 122 170 112 37 39 450 177.8 85.7
## 31 medium 146 94 139 89 37 40 540 165.1 78.9
## 32 large 130 90 NA NA 29 35 780 172.7 63.1
## 33 medium 170 88 168 80 39 41 225 188.0 86.6
## 34 medium 176 86 180 90 49 43 330 175.3 78.9
## 35 medium 120 78 NA NA 32 34 720 167.6 53.5
## 36 medium 140 97 NA NA 39 44 780 167.6 84.4
## 37 medium 115 64 NA NA 31 35 720 167.6 72.1
## 38 medium NA NA NA NA 46 49 240 182.9 93.0
## 39 medium 124 64 NA NA 31 36 30 180.3 65.8
## 40 large 158 90 160 96 45 48 840 175.3 97.1
## 41 large 105 85 NA NA 35 40 720 167.6 72.6
## 42 medium 142 79 NA NA 40 43 720 157.5 77.1
## 43 large 149 89 136 88 40 42 30 170.2 87.1
## 44 large 124 80 NA NA 43 49 300 190.5 114.8
## 45 large 130 60 NA NA 40 40 90 149.9 62.1
## 46 medium 110 82 NA NA 49 57 90 162.6 105.7
## 47 medium 140 65 NA NA 42 42 150 170.2 74.8
## 48 medium 110 68 NA NA 42 43 450 170.2 88.9
## 49 medium 106 82 NA NA 40 44 780 165.1 81.6
## 50 medium 150 82 142 78 43 52 360 167.6 99.3
## 51 158 78 140 84 37 41 120 165.1 69.9
## 52 medium 104 90 NA NA 36 46 240 162.6 82.1
## 53 large 158 94 149 96 43 47 360 154.9 84.8
## 54 large 124 86 NA NA 39 44 270 162.6 75.8
## 55 medium 126 80 NA NA 51 54 780 152.4 99.8
## 56 small 165 110 153 100 49 58 60 172.7 124.3
## 57 large 141 81 NA NA 38 41 540 172.7 81.6
## 58 large 160 82 NA NA 51 51 180 157.5 98.4
## 59 large 130 90 NA NA 43 47 195 157.5 85.7
## 60 large 138 79 NA NA 40 45 720 167.6 86.6
## 61 large 159 99 160 103 42 48 300 160.0 83.0
## 62 medium 130 79 NA NA 34 40 720 177.8 73.0
## 63 medium 158 98 148 88 43 48 420 177.8 106.6
## 64 NA NA NA NA 31 35 120 NA 56.7
## 65 medium 121 71 NA NA 35 39 720 177.8 74.8
## 66 small 120 90 NA NA 28 32 180 162.6 57.2
## 67 medium 120 70 NA NA 28 35 960 157.5 62.1
## 68 medium 150 80 145 80 34 42 960 160.0 74.8
## 69 medium 160 60 160 60 31 33 1020 154.9 46.3
## 70 170 82 NA NA 35 38 120 154.9 57.6
## 71 medium 138 94 140 80 41 39 240 180.3 97.1
## 72 large 126 75 NA NA 44 47 420 175.3 111.1
## 73 medium 108 70 NA NA 37 40 120 162.6 73.0
## 74 medium 142 98 130 92 43 54 240 172.7 119.8
## 75 small 140 90 NA NA 31 35 300 190.5 64.4
## 76 large 156 78 144 76 35 40 1200 152.4 64.9
## 77 medium 130 86 NA NA 37 45 180 157.5 83.0
## 78 large 178 120 182 110 36 40 240 177.8 78.5
## 79 medium 120 75 NA NA 46 50 210 180.3 101.2
## 80 large 174 75 NA NA 38 41 180 160.0 69.9
## 81 medium 145 100 NA NA 41 42 270 185.4 99.3
## 82 small 138 78 NA NA 40 44 10 170.2 76.7
## 83 small 120 76 NA NA 38 41 210 185.4 90.7
## 84 medium 136 52 NA NA 38 45 60 162.6 90.7
## 85 medium 147 72 NA NA 37 40 420 154.9 65.8
## 86 large 119 68 NA NA 37 41 780 170.2 80.7
## 87 large 139 69 NA NA 42 53 720 NA 97.5
## 88 medium 120 80 NA NA 40 49 840 157.5 93.0
## 89 medium 125 64 NA NA 37 42 660 157.5 68.5
## 90 large 121 62 NA NA 36 41 420 167.6 77.1
## 91 large 138 79 NA NA 34 40 690 172.7 76.7
## 92 medium 151 85 148 79 33 41 1140 160.0 72.1
## 93 small 103 64 NA NA 29 30 120 154.9 49.9
## 94 large 119 72 NA NA 36 43 60 172.7 89.8
## 95 medium 110 90 NA NA 35 44 10 170.2 83.9
## 96 medium 125 85 117 68 28 39 900 160.0 64.4
## 97 medium 112 72 NA NA 29 39 1560 149.9 63.1
## 98 medium 142 102 156 106 35 39 120 160.0 70.8
## 99 large 160 92 150 98 40 50 20 165.1 99.8
## 100 medium 160 80 158 80 42 43 390 170.2 89.4
## 101 large 111 65 NA NA 42 46 780 160.0 90.7
## 102 large 136 96 130 94 34 39 600 175.3 69.9
## 103 large 136 84 NA NA 42 51 10 154.9 92.1
## 104 medium 136 90 126 84 36 40 45 180.3 81.6
## 105 small 115 68 NA NA 36 39 780 154.9 68.0
## 106 medium 130 90 NA NA 40 41 60 172.7 92.5
## 107 medium 110 90 NA NA 41 42 240 170.2 90.7
## 108 medium 150 90 156 88 35 40 300 149.9 56.7
## 109 170 90 170 100 39 41 240 177.8 74.8
## 110 large 130 73 NA NA 37 42 720 177.8 77.1
## 111 132 90 NA NA 39 44 NA 177.8 96.2
## 112 large 158 104 158 108 41 44 330 182.9 103.0
## 113 small 138 82 NA NA 31 38 60 175.3 68.0
## 114 medium 160 96 162 96 34 43 30 162.6 78.9
## 115 small 118 70 NA NA 32 38 300 154.9 54.0
## 116 medium 131 88 NA NA 34 39 30 185.4 79.4
## 117 large 141 99 NA NA 39 48 30 160.0 104.3
## 118 medium 139 79 NA NA 33 40 720 160.0 71.7
## 119 large 159 99 150 89 51 64 210 177.8 119.3
## 120 small 150 80 NA NA 31 40 120 180.3 70.8
## 121 small 150 105 150 100 32 35 120 177.8 54.4
## 122 small 150 102 150 100 38 43 300 170.2 78.0
## 123 medium 138 82 NA NA 31 39 1170 182.9 77.1
## 124 medium 160 68 158 74 34 42 240 160.0 71.7
## 125 small 124 78 NA NA 32 40 720 193.0 74.4
## 126 large 112 62 NA NA 39 43 180 165.1 76.7
## 127 medium 110 80 NA NA 44 50 10 165.1 106.6
## 128 medium 110 76 NA NA 33 36 240 160.0 56.7
## 129 large 170 92 NA NA 48 51 660 160.0 110.7
## 130 large 130 66 NA NA 44 47 180 180.3 102.1
## 131 small 180 110 210 110 37 40 225 162.6 63.5
## 132 medium 122 70 NA NA 47 53 140 170.2 103.0
## 133 small 130 88 NA NA 40 43 60 162.6 72.6
## 134 medium 132 72 NA NA 38 44 30 165.1 75.8
## 135 large 141 79 NA NA 53 62 60 162.6 147.4
## 136 small 111 62 NA NA 32 38 855 160.0 54.9
## 137 small 140 75 NA NA 34 38 90 188.0 68.5
## 138 medium 136 83 NA NA 43 48 960 170.2 101.2
## 139 large 150 98 NA NA 49 45 90 180.3 120.7
## 140 medium 162 78 156 82 38 43 315 170.2 80.3
## 141 medium 110 68 NA NA 33 46 210 160.0 77.1
## 142 small 145 95 NA NA 32 41 600 172.7 66.2
## 143 small 104 64 NA NA 31 33 30 167.6 54.9
## 144 medium 146 92 168 98 37 40 120 167.6 77.1
## 145 small 130 90 NA NA 33 38 1320 170.2 68.5
## 146 small 125 72 NA NA 33 39 750 180.3 72.1
## 147 medium 125 82 NA NA 29 33 60 162.6 47.6
## 148 large 140 86 NA NA 51 49 900 177.8 125.6
## 149 medium 126 90 NA NA 39 41 390 157.5 72.6
## 150 small 108 78 NA NA 29 36 1080 182.9 65.8
## 151 large 140 86 NA NA 56 49 30 180.3 145.2
## 152 large 135 88 NA NA 40 45 720 157.5 73.9
## 153 179 89 172 91 37 43 60 167.6 73.9
## 154 medium 139 90 136 86 39 41 720 175.3 76.7
## 155 large 120 86 NA NA 46 54 900 165.1 105.2
## 156 large 151 87 NA NA 44 45 15 172.7 95.3
## 157 large 150 80 NA NA 35 39 270 193.0 72.6
## 158 small 110 72 NA NA 36 42 720 157.5 65.8
## 159 large 138 89 137 79 40 45 720 177.8 97.5
## 160 medium 140 98 NA NA 46 54 210 167.6 115.7
## 161 large 110 90 NA NA 52 58 300 175.3 139.7
## 162 medium 125 69 NA NA 30 37 10 175.3 NA
## 163 medium 146 76 NA NA 36 43 10 162.6 71.7
## 164 medium 150 106 160 116 39 47 60 165.1 95.3
## 165 small 140 76 NA NA 30 36 300 162.6 55.8
## 166 small 98 66 NA NA 29 35 150 167.6 53.5
## 167 large 161 118 151 111 36 39 60 172.7 75.8
## 168 medium 125 90 NA NA 37 46 60 190.5 84.4
## 169 small 138 88 NA NA 39 43 180 160.0 71.7
## 170 small 230 120 235 120 38 42 60 165.1 65.8
## 171 small 122 86 NA NA 28 37 270 160.0 54.0
## 172 medium 142 78 136 84 52 59 420 170.2 127.9
## 173 large 136 86 NA NA 38 40 240 175.3 77.6
## 174 large 138 66 NA NA 37 41 210 175.3 78.0
## 175 small 132 80 NA NA 33 39 990 165.1 62.6
## 176 medium 148 76 148 78 38 37 90 185.4 84.8
## 177 medium 140 90 NA NA 38 45 90 167.6 85.7
## 178 small 118 69 NA NA 40 47 780 149.9 92.5
## 179 large 186 102 190 110 46 44 360 167.6 97.5
## 180 large 140 72 NA NA 45 46 480 165.1 75.8
## 181 medium 200 94 208 90 45 46 195 167.6 85.7
## 182 small 110 78 NA NA 34 41 60 182.9 81.6
## 183 small 118 68 NA NA 33 45 150 165.1 74.8
## 184 medium 146 98 136 96 37 44 30 180.3 81.2
## 185 large 136 90 NA NA 44 42 120 175.3 92.5
## 186 large 140 90 136 86 40 53 45 160.0 105.7
## 187 medium 142 92 148 98 37 43 90 180.3 95.3
## 188 medium 136 96 130 98 36 43 630 180.3 88.5
## 189 medium 180 96 176 94 41 47 720 160.0 90.3
## 190 medium 110 80 NA NA 39 45 300 162.6 83.9
## 191 medium 140 102 148 102 32 38 80 170.2 66.7
## 192 small 142 96 140 86 29 37 135 154.9 54.0
## 193 medium 132 82 NA NA 37 40 210 167.6 77.6
## 194 small 104 80 NA NA 39 44 10 157.5 83.5
## 195 small 138 82 NA NA 37 43 90 170.2 71.7
## 196 small 122 76 NA NA 37 38 360 NA 59.0
## 197 small 142 70 NA NA 34 38 240 165.1 60.8
## 198 large 118 72 NA NA 50 47 720 167.6 113.9
## 199 medium 190 110 170 90 44 48 720 154.9 90.7
## 200 medium 118 86 NA NA 32 33 120 177.8 63.5
## 201 small 180 105 165 105 30 37 15 160.0 51.7
## 202 medium 140 80 NA NA 34 43 780 170.2 94.8
## 203 large 160 78 158 84 45 48 60 172.7 95.3
## 204 medium 142 80 142 90 47 45 30 162.6 81.2
## 205 small 170 88 180 100 33 34 435 165.1 49.4
## 206 small 199 115 190 99 29 33 120 139.7 59.0
## 207 medium 131 79 NA NA 33 38 150 167.6 65.8
## 208 medium 190 118 NA NA 44 47 120 157.5 75.8
## 209 small 110 76 NA NA 37 43 60 172.7 81.2
## 210 medium 190 100 170 86 40 42 120 160.0 65.3
## 211 small 135 75 NA NA 29 35 720 175.3 59.0
## 212 medium 120 80 NA NA 34 43 60 160.0 74.4
## 213 medium 178 88 160 82 45 46 180 165.1 91.2
## 214 medium 122 74 NA NA 38 38 180 190.5 84.4
## 215 small 110 76 NA NA 30 35 180 185.4 78.9
## 216 small NA NA NA NA 32 37 NA 162.6 61.7
## 217 small 125 64 NA NA 26 33 720 157.5 47.6
## 218 small 137 74 NA NA 33 35 720 175.3 59.0
## 219 medium 130 70 NA NA 32 38 60 160.0 56.2
## 220 medium 180 86 NA NA 41 46 720 160.0 77.1
## 221 small 130 70 NA NA 31 40 90 157.5 60.8
## 222 small 102 56 NA NA 33 42 720 165.1 74.8
## 223 large 130 73 NA NA 38 41 240 170.2 86.6
## 224 medium 152 100 140 100 37 43 60 165.1 79.4
## 225 170 90 150 100 39 47 240 154.9 81.6
## 226 medium 118 78 NA NA 35 39 120 172.7 64.4
## 227 large 160 66 150 80 34 41 720 154.9 66.7
## 228 small 150 110 150 90 28 37 270 167.6 49.9
## 229 large 165 115 160 96 40 43 720 175.3 92.5
## 230 medium 142 100 144 110 38 46 210 160.0 82.1
## 231 medium 132 86 NA NA 37 41 210 177.8 84.8
## 232 large 140 75 NA NA 38 44 720 NA 86.2
## 233 large 184 76 180 84 37 42 60 177.8 82.1
## 234 medium 176 110 150 102 35 37 60 170.2 63.5
## 235 large 150 74 146 76 46 49 30 170.2 91.2
## 236 medium 170 96 178 96 38 42 90 172.7 88.9
## 237 medium 130 80 NA NA 32 40 15 160.0 69.4
## 238 small 122 68 NA NA 38 39 300 172.7 77.1
## 239 large 116 53 NA NA 40 41 180 167.6 85.3
## 240 large 158 98 159 80 45 48 180 149.9 81.2
## 241 large 122 90 NA NA 48 49 720 182.9 117.5
## 242 medium 140 65 NA NA 41 47 180 167.6 90.7
## 243 medium 123 82 NA NA 35 39 900 180.3 73.5
## 244 large 118 78 NA NA 33 40 720 157.5 64.0
## 245 medium 131 75 NA NA 36 39 20 172.7 83.0
## 246 medium 108 58 NA NA 30 44 240 170.2 72.6
## 247 small 136 86 NA NA 29 40 240 165.1 54.4
## 248 small 121 75 NA NA 32 35 60 165.1 65.8
## 249 large 162 75 NA NA 38 44 300 162.6 78.9
## 250 medium 100 72 NA NA 45 58 180 160.0 114.3
## 251 medium 108 58 NA NA 33 40 240 152.4 61.2
## 252 small 150 78 NA NA 33 41 900 160.0 70.3
## 253 medium 120 75 NA NA 40 42 720 160.0 81.2
## 254 large 100 60 NA NA 40 45 540 180.3 95.7
## 255 small 105 82 NA NA 31 37 720 157.5 52.2
## 256 medium 125 70 NA NA 41 47 720 167.6 86.2
## 257 large 175 80 152 102 55 62 300 160.0 131.5
## 258 medium 140 89 NA NA 36 39 720 180.3 76.2
## 259 large 118 66 NA NA 47 52 360 167.6 115.7
## 260 medium 150 99 130 80 37 41 360 175.3 93.0
## 261 medium 150 98 142 90 42 47 60 185.4 117.9
## 262 medium 142 79 NA NA 43 51 120 182.9 113.4
## 263 large 106 82 NA NA 39 38 420 175.3 75.3
## 264 medium 130 82 NA NA 35 42 240 160.0 77.1
## 265 large 140 65 NA NA 42 39 270 175.3 82.6
## 266 large 140 70 NA NA 34 44 60 160.0 79.8
## 267 medium 108 76 NA NA 34 42 90 162.6 65.8
## 268 large 130 82 NA NA 40 40 60 167.6 78.0
## 269 large 150 99 150 85 50 49 840 180.3 125.6
## 270 medium 138 90 NA NA 36 47 90 175.3 75.8
## 271 small 130 96 130 90 39 41 480 175.3 93.0
## 272 medium 122 96 126 96 38 40 NA 170.2 83.0
## 273 small 118 61 NA NA 26 37 240 165.1 55.8
## 274 small 121 75 NA NA 31 36 720 160.0 58.1
## 275 medium 120 80 NA NA 43 45 720 165.1 83.0
## 276 small 125 60 NA NA 30 36 720 157.5 44.9
## 277 large 136 70 NA NA 45 49 150 182.9 122.5
## 278 small 140 90 NA NA 31 39 330 152.4 62.6
## 279 large 142 98 142 96 50 60 690 160.0 129.3
## 280 medium 130 78 NA NA 38 42 720 172.7 81.6
## 281 large 150 81 NA NA 36 45 300 160.0 72.6
## 282 medium 131 75 NA NA 34 39 120 180.3 77.1
## 283 127 71 NA NA 43 47 600 154.9 83.9
## 284 medium 126 78 NA NA 36 40 795 177.8 73.9
## 285 medium 148 82 158 80 38 49 135 132.1 84.8
## 286 small 140 86 128 74 33 39 240 154.9 58.1
## 287 small 106 82 NA NA 36 44 10 157.5 69.4
## 288 medium 132 80 NA NA 31 39 480 157.5 56.7
## 289 small 110 68 NA NA 31 39 10 175.3 70.3
## 290 medium 220 100 202 98 45 54 375 162.6 101.2
## 291 medium 180 110 190 114 37 40 30 177.8 73.0
## 292 large 100 70 NA NA 41 44 30 170.2 98.0
## 293 medium 212 114 210 112 38 46 150 160.0 81.2
## 294 medium 134 74 NA NA 44 47 270 172.7 103.0
## 295 medium 162 88 150 80 38 39 570 175.3 72.1
## 296 small 122 62 NA NA 32 38 720 188.0 77.1
## 297 small 138 80 NA NA 32 38 30 167.6 62.6
## 298 small 112 78 NA NA 28 35 120 160.0 51.7
## 299 medium 128 90 138 90 48 53 330 162.6 108.4
## 300 medium 148 92 138 84 38 46 10 157.5 78.9
## 301 small 130 76 NA NA 35 46 5 165.1 85.3
## 302 small 110 64 NA NA 40 49 60 165.1 89.8
## 303 small 122 64 NA NA 31 39 90 162.6 51.7
## 304 medium 136 86 NA NA 41 52 105 172.7 102.1
## 305 medium 172 124 176 124 33 40 30 160.0 64.9
## 306 medium 138 78 NA NA 36 48 1260 170.2 66.2
## 307 small 122 86 NA NA 32 39 390 177.8 64.0
## 308 small 120 68 NA NA 33 40 420 165.1 68.5
## 309 medium 110 80 NA NA 49 58 15 162.6 112.5
## 310 small 138 76 NA NA 33 38 420 188.0 68.9
## 311 small 138 84 NA NA 32 40 270 152.4 59.0
## 312 medium 250 100 NA NA 41 46 60 157.5 74.8
## 313 medium 138 88 NA NA 39 40 45 177.8 81.6
## 314 medium 116 76 NA NA 34 39 180 180.3 73.9
## 315 large 150 92 130 86 37 42 390 167.6 81.2
## 316 medium 138 84 NA NA 36 42 150 154.9 70.8
## 317 small 110 64 NA NA 31 38 15 162.6 59.0
## 318 small 120 60 NA NA 40 47 300 NA 72.6
## 319 medium 130 75 NA NA 44 47 720 175.3 95.3
## 320 small 148 81 NA NA 31 37 240 185.4 74.4
## 321 small 135 88 NA NA 30 34 15 167.6 52.2
## 322 small 140 94 130 95 36 43 330 157.5 72.1
## 323 small 110 58 NA NA 33 38 120 182.9 64.0
## 324 small 145 72 142 70 35 39 30 175.3 76.7
## 325 large 142 81 NA NA 43 49 480 177.8 82.1
## 326 small 118 62 NA NA 35 41 180 182.9 81.6
## 327 medium 131 111 130 80 42 46 300 167.6 94.8
## 328 140 112 138 89 37 42 30 180.3 95.3
## 329 large 140 87 NA NA 53 56 240 157.5 107.5
## 330 small 140 70 NA NA 35 38 150 175.3 73.9
## 331 medium 130 75 NA NA 40 41 180 188.0 83.9
## 332 small 128 94 124 96 39 43 270 170.2 81.6
## 333 142 78 141 80 47 58 10 160.0 111.1
## 334 small 136 88 NA NA 33 39 300 177.8 68.0
## 335 medium 128 82 NA NA 37 43 240 162.6 66.2
## 336 medium 110 60 NA NA 34 37 20 172.7 65.8
## 337 medium 108 68 NA NA NA NA 330 157.5 64.4
## 338 medium 152 92 162 92 42 49 20 162.6 89.8
## 339 small 90 48 NA NA 35 38 240 162.6 67.1
## 340 medium 122 90 NA NA 43 46 150 165.1 90.7
## 341 large 140 75 NA NA 39 44 300 175.3 86.2
## 342 large 126 80 NA NA 38 46 540 160.0 82.6
## 343 small 130 82 NA NA 40 52 240 154.9 99.8
## 344 medium 135 100 170 98 39 47 150 162.6 81.2
## 345 small 122 74 NA NA 48 51 150 170.2 96.2
## 346 medium 135 80 NA NA 34 46 30 152.4 74.8
## 347 medium 162 108 158 110 47 55 60 167.6 116.6
## 348 large 140 72 NA NA 39 41 195 175.3 83.5
## 349 110 80 NA NA 41 45 90 180.3 83.0
## 350 large 172 110 168 108 41 45 180 170.2 98.9
## 351 medium 138 92 135 88 32 37 450 185.4 81.2
## 352 medium 142 90 142 92 42 54 225 162.6 103.4
## 353 large 130 100 170 114 48 51 75 175.3 131.1
## 354 small 140 98 142 102 36 40 195 175.3 69.4
## 355 large 178 100 170 96 47 52 210 170.2 106.6
## 356 medium 162 90 152 90 33 42 180 152.4 65.3
## 357 large 134 78 NA NA 43 46 195 165.1 83.0
## 358 small 124 94 110 74 35 38 330 170.2 69.9
## 359 large 142 96 142 98 43 45 285 175.3 98.0
## 360 small 120 80 NA NA 41 42 240 170.2 82.1
## 361 small 140 90 140 90 43 47 150 167.6 91.6
## 362 small 124 82 NA NA 37 45 15 162.6 72.6
## 363 medium 130 72 NA NA 36 41 60 149.9 55.8
## 364 small 100 50 NA NA 41 50 210 165.1 89.4
## 365 small 144 88 146 82 41 48 210 152.4 87.1
## 366 medium 110 72 NA NA 40 45 1440 170.2 84.8
## 367 medium 156 88 158 86 47 48 390 180.3 96.2
## 368 medium 148 98 130 100 40 42 900 175.3 84.4
## 369 small 160 100 160 100 44 41 1440 157.5 73.5
## 370 small 110 70 NA NA 33 38 90 162.6 54.4
## 371 small 122 80 NA NA 37 41 260 167.6 68.9
## 372 medium 140 100 136 100 44 53 240 147.3 95.3
## 373 medium 140 100 136 92 32 42 270 149.9 67.1
## 374 medium 140 100 138 82 34 46 270 147.3 77.1
## 375 small 125 80 NA NA 33 37 180 172.7 71.2
## 376 small 170 96 160 94 30 37 15 175.3 58.5
## 377 large 144 82 144 80 38 43 480 177.8 95.7
## 378 medium 124 84 NA NA 36 44 240 182.9 85.7
## 379 medium 170 110 166 108 30 33 780 177.8 54.4
## 380 medium 110 64 NA NA 32 34 300 160.0 54.9
## 381 120 98 122 100 32 41 60 142.2 54.4
## 382 large 142 79 NA NA 36 38 900 172.7 76.7
## 383 small 140 90 138 84 42 46 40 157.5 84.4
## 384 medium 130 94 130 88 42 48 450 177.8 118.8
## 385 medium 120 84 NA NA 40 44 1020 182.9 100.7
## 386 medium 128 82 NA NA 41 51 210 170.2 100.7
## 387 medium 140 96 148 100 37 47 60 157.5 81.2
## 388 large 174 90 174 84 48 50 180 172.7 101.6
## 389 small 118 78 NA NA 31 38 180 182.9 74.8
## 390 large 146 94 149 94 39 41 30 167.6 83.9
## 391 medium 144 94 142 92 34 42 480 157.5 66.7
## 392 medium 130 78 NA NA 39 45 60 157.5 80.3
## 393 large 110 70 NA NA 38 39 540 167.6 65.8
## 394 large 130 110 170 118 NA NA 60 165.1 66.2
## 395 medium 140 95 130 94 40 42 60 152.4 69.9
## 396 medium 190 94 172 100 33 39 480 167.6 61.7
## 397 medium 132 90 126 80 38 42 330 167.6 76.2
## 398 medium 218 90 238 90 31 41 210 154.9 52.2
## 399 medium 138 94 130 94 35 39 210 175.3 78.5
## 400 medium 140 100 146 102 32 43 180 160.0 69.9
## 401 small 120 70 NA NA 33 40 20 175.3 75.8
## 402 medium 120 78 NA NA 41 48 255 160.0 89.4
## 403 medium 100 72 NA NA 49 58 900 162.6 99.8
## waist_cm hip_cm
## 1 73.7 96.5
## 2 116.8 121.9
## 3 124.5 144.8
## 4 83.8 96.5
## 5 111.8 104.1
## 6 91.4 106.7
## 7 116.8 124.5
## 8 86.4 99.1
## 9 86.4 101.6
## 10 114.3 127.0
## 11 99.1 114.3
## 12 106.7 127.0
## 13 88.9 104.1
## 14 94.0 109.2
## 15 91.4 101.6
## 16 94.0 104.1
## 17 94.0 109.2
## 18 78.7 99.1
## 19 76.2 86.4
## 20 116.8 129.5
## 21 106.7 104.1
## 22 114.3 116.8
## 23 121.9 139.7
## 24 121.9 111.8
## 25 83.8 96.5
## 26 71.1 91.4
## 27 109.2 119.4
## 28 68.6 83.8
## 29 78.7 96.5
## 30 94.0 99.1
## 31 94.0 101.6
## 32 73.7 88.9
## 33 99.1 104.1
## 34 124.5 109.2
## 35 81.3 86.4
## 36 99.1 111.8
## 37 78.7 88.9
## 38 116.8 124.5
## 39 78.7 91.4
## 40 114.3 121.9
## 41 88.9 101.6
## 42 101.6 109.2
## 43 101.6 106.7
## 44 109.2 124.5
## 45 101.6 101.6
## 46 124.5 144.8
## 47 106.7 106.7
## 48 106.7 109.2
## 49 101.6 111.8
## 50 109.2 132.1
## 51 94.0 104.1
## 52 91.4 116.8
## 53 109.2 119.4
## 54 99.1 111.8
## 55 129.5 137.2
## 56 124.5 147.3
## 57 96.5 104.1
## 58 129.5 129.5
## 59 109.2 119.4
## 60 101.6 114.3
## 61 106.7 121.9
## 62 86.4 101.6
## 63 109.2 121.9
## 64 78.7 88.9
## 65 88.9 99.1
## 66 71.1 81.3
## 67 71.1 88.9
## 68 86.4 106.7
## 69 78.7 83.8
## 70 88.9 96.5
## 71 104.1 99.1
## 72 111.8 119.4
## 73 94.0 101.6
## 74 109.2 137.2
## 75 78.7 88.9
## 76 88.9 101.6
## 77 94.0 114.3
## 78 91.4 101.6
## 79 116.8 127.0
## 80 96.5 104.1
## 81 104.1 106.7
## 82 101.6 111.8
## 83 96.5 104.1
## 84 96.5 114.3
## 85 94.0 101.6
## 86 94.0 104.1
## 87 106.7 134.6
## 88 101.6 124.5
## 89 94.0 106.7
## 90 91.4 104.1
## 91 86.4 101.6
## 92 83.8 104.1
## 93 73.7 76.2
## 94 91.4 109.2
## 95 88.9 111.8
## 96 71.1 99.1
## 97 73.7 99.1
## 98 88.9 99.1
## 99 101.6 127.0
## 100 106.7 109.2
## 101 106.7 116.8
## 102 86.4 99.1
## 103 106.7 129.5
## 104 91.4 101.6
## 105 91.4 99.1
## 106 101.6 104.1
## 107 104.1 106.7
## 108 88.9 101.6
## 109 99.1 104.1
## 110 94.0 106.7
## 111 99.1 111.8
## 112 104.1 111.8
## 113 78.7 96.5
## 114 86.4 109.2
## 115 81.3 96.5
## 116 86.4 99.1
## 117 99.1 121.9
## 118 83.8 101.6
## 119 129.5 162.6
## 120 78.7 101.6
## 121 81.3 88.9
## 122 96.5 109.2
## 123 78.7 99.1
## 124 86.4 106.7
## 125 81.3 101.6
## 126 99.1 109.2
## 127 111.8 127.0
## 128 83.8 91.4
## 129 121.9 129.5
## 130 111.8 119.4
## 131 94.0 101.6
## 132 119.4 134.6
## 133 101.6 109.2
## 134 96.5 111.8
## 135 134.6 157.5
## 136 81.3 96.5
## 137 86.4 96.5
## 138 109.2 121.9
## 139 124.5 114.3
## 140 96.5 109.2
## 141 83.8 116.8
## 142 81.3 104.1
## 143 78.7 83.8
## 144 94.0 101.6
## 145 83.8 96.5
## 146 83.8 99.1
## 147 73.7 83.8
## 148 129.5 124.5
## 149 99.1 104.1
## 150 73.7 91.4
## 151 142.2 124.5
## 152 101.6 114.3
## 153 94.0 109.2
## 154 99.1 104.1
## 155 116.8 137.2
## 156 111.8 114.3
## 157 88.9 99.1
## 158 91.4 106.7
## 159 101.6 114.3
## 160 116.8 137.2
## 161 132.1 147.3
## 162 76.2 94.0
## 163 91.4 109.2
## 164 99.1 119.4
## 165 76.2 91.4
## 166 73.7 88.9
## 167 91.4 99.1
## 168 94.0 116.8
## 169 99.1 109.2
## 170 96.5 106.7
## 171 71.1 94.0
## 172 132.1 149.9
## 173 96.5 101.6
## 174 94.0 104.1
## 175 83.8 99.1
## 176 96.5 94.0
## 177 96.5 114.3
## 178 101.6 119.4
## 179 116.8 111.8
## 180 114.3 116.8
## 181 114.3 116.8
## 182 86.4 104.1
## 183 83.8 114.3
## 184 94.0 111.8
## 185 111.8 106.7
## 186 101.6 134.6
## 187 94.0 109.2
## 188 91.4 109.2
## 189 104.1 119.4
## 190 99.1 114.3
## 191 81.3 96.5
## 192 73.7 94.0
## 193 94.0 101.6
## 194 99.1 111.8
## 195 94.0 109.2
## 196 94.0 96.5
## 197 86.4 96.5
## 198 127.0 119.4
## 199 111.8 121.9
## 200 81.3 83.8
## 201 76.2 94.0
## 202 86.4 109.2
## 203 114.3 121.9
## 204 119.4 114.3
## 205 83.8 86.4
## 206 73.7 83.8
## 207 83.8 96.5
## 208 111.8 119.4
## 209 94.0 109.2
## 210 101.6 106.7
## 211 73.7 88.9
## 212 86.4 109.2
## 213 114.3 116.8
## 214 96.5 96.5
## 215 76.2 88.9
## 216 81.3 94.0
## 217 66.0 83.8
## 218 83.8 88.9
## 219 81.3 96.5
## 220 104.1 116.8
## 221 78.7 101.6
## 222 83.8 106.7
## 223 96.5 104.1
## 224 94.0 109.2
## 225 99.1 119.4
## 226 88.9 99.1
## 227 86.4 104.1
## 228 71.1 94.0
## 229 101.6 109.2
## 230 96.5 116.8
## 231 94.0 104.1
## 232 96.5 111.8
## 233 94.0 106.7
## 234 88.9 94.0
## 235 116.8 124.5
## 236 96.5 106.7
## 237 81.3 101.6
## 238 96.5 99.1
## 239 101.6 104.1
## 240 114.3 121.9
## 241 121.9 124.5
## 242 104.1 119.4
## 243 88.9 99.1
## 244 83.8 101.6
## 245 91.4 99.1
## 246 76.2 111.8
## 247 73.7 101.6
## 248 81.3 88.9
## 249 96.5 111.8
## 250 114.3 147.3
## 251 83.8 101.6
## 252 83.8 104.1
## 253 101.6 106.7
## 254 101.6 114.3
## 255 78.7 94.0
## 256 104.1 119.4
## 257 139.7 157.5
## 258 91.4 99.1
## 259 119.4 132.1
## 260 94.0 104.1
## 261 106.7 119.4
## 262 109.2 129.5
## 263 99.1 96.5
## 264 88.9 106.7
## 265 106.7 99.1
## 266 86.4 111.8
## 267 86.4 106.7
## 268 101.6 101.6
## 269 127.0 124.5
## 270 91.4 119.4
## 271 99.1 104.1
## 272 96.5 101.6
## 273 66.0 94.0
## 274 78.7 91.4
## 275 109.2 114.3
## 276 76.2 91.4
## 277 114.3 124.5
## 278 78.7 99.1
## 279 127.0 152.4
## 280 96.5 106.7
## 281 91.4 114.3
## 282 86.4 99.1
## 283 109.2 119.4
## 284 91.4 101.6
## 285 96.5 124.5
## 286 83.8 99.1
## 287 91.4 111.8
## 288 78.7 99.1
## 289 78.7 99.1
## 290 114.3 137.2
## 291 94.0 101.6
## 292 104.1 111.8
## 293 96.5 116.8
## 294 111.8 119.4
## 295 96.5 99.1
## 296 81.3 96.5
## 297 81.3 96.5
## 298 71.1 88.9
## 299 121.9 134.6
## 300 96.5 116.8
## 301 88.9 116.8
## 302 101.6 124.5
## 303 78.7 99.1
## 304 104.1 132.1
## 305 83.8 101.6
## 306 91.4 121.9
## 307 81.3 99.1
## 308 83.8 101.6
## 309 124.5 147.3
## 310 83.8 96.5
## 311 81.3 101.6
## 312 104.1 116.8
## 313 99.1 101.6
## 314 86.4 99.1
## 315 94.0 106.7
## 316 91.4 106.7
## 317 78.7 96.5
## 318 101.6 119.4
## 319 111.8 119.4
## 320 78.7 94.0
## 321 76.2 86.4
## 322 91.4 109.2
## 323 83.8 96.5
## 324 88.9 99.1
## 325 109.2 124.5
## 326 88.9 104.1
## 327 106.7 116.8
## 328 94.0 106.7
## 329 134.6 142.2
## 330 88.9 96.5
## 331 101.6 104.1
## 332 99.1 109.2
## 333 119.4 147.3
## 334 83.8 99.1
## 335 94.0 109.2
## 336 86.4 94.0
## 337 NA NA
## 338 106.7 124.5
## 339 88.9 96.5
## 340 109.2 116.8
## 341 99.1 111.8
## 342 96.5 116.8
## 343 101.6 132.1
## 344 99.1 119.4
## 345 121.9 129.5
## 346 86.4 116.8
## 347 119.4 139.7
## 348 99.1 104.1
## 349 104.1 114.3
## 350 104.1 114.3
## 351 81.3 94.0
## 352 106.7 137.2
## 353 121.9 129.5
## 354 91.4 101.6
## 355 119.4 132.1
## 356 83.8 106.7
## 357 109.2 116.8
## 358 88.9 96.5
## 359 109.2 114.3
## 360 104.1 106.7
## 361 109.2 119.4
## 362 94.0 114.3
## 363 91.4 104.1
## 364 104.1 127.0
## 365 104.1 121.9
## 366 101.6 114.3
## 367 119.4 121.9
## 368 101.6 106.7
## 369 111.8 104.1
## 370 83.8 96.5
## 371 94.0 104.1
## 372 111.8 134.6
## 373 81.3 106.7
## 374 86.4 116.8
## 375 83.8 94.0
## 376 76.2 94.0
## 377 96.5 109.2
## 378 91.4 111.8
## 379 76.2 83.8
## 380 81.3 86.4
## 381 81.3 104.1
## 382 91.4 96.5
## 383 106.7 116.8
## 384 106.7 121.9
## 385 101.6 111.8
## 386 104.1 129.5
## 387 94.0 119.4
## 388 121.9 127.0
## 389 78.7 96.5
## 390 99.1 104.1
## 391 86.4 106.7
## 392 99.1 114.3
## 393 96.5 99.1
## 394 NA NA
## 395 101.6 106.7
## 396 83.8 99.1
## 397 96.5 106.7
## 398 78.7 104.1
## 399 88.9 99.1
## 400 81.3 109.2
## 401 83.8 101.6
## 402 104.1 121.9
## 403 124.5 147.3Subsets of the data
Let us try to take a closer look at various subsets of the data. For the following questions, “How many …” refers to the number of rows in the subset of the data you create.
Q4: How many weigh less than 100kg?
diabetes_1 %>% count(weight_kg< 100)## weight_kg < 100 n
## 1 FALSE 53
## 2 TRUE 349
## 3 NA 1Q5: How many weigh more than 100kg?
diabetes_1 %>% count(weight_kg> 100)## weight_kg > 100 n
## 1 FALSE 349
## 2 TRUE 53
## 3 NA 1# the answer is 53Q6: How many weigh more than 100kg and are less than 1.6m tall?
diabetes_1 %>% count(weight_kg> 100, height_cm<160)## weight_kg > 100 height_cm < 160 n
## 1 FALSE FALSE 270
## 2 FALSE TRUE 74
## 3 FALSE NA 5
## 4 TRUE FALSE 51
## 5 TRUE TRUE 2
## 6 NA FALSE 1# the answer is 2Q7: How many women are taller than 1.8m?
diabetes_1 %>% filter(gender == "female", height_cm > 180) %>% count() ## n
## 1 4# the answer is 4Q8: How many men are taller than 1.8m?
diabetes_1 %>% filter(gender == "male", height_cm > 180) %>% count()## n
## 1 51# the asnwer is 51Q9: How many women in Louisa are older than 30?
diabetes_1 %>% filter(location == "Louisa", age > 30) %>% count()## n
## 1 167# the asnwer is 167Q10: How many men in Buckingham are younger than 30 and taller than 1.9m?
diabetes_1 %>% filter(gender=="male", location == "Buckingham", age < 30, height_cm> 190) %>% count()## n
## 1 1# the asnwer is 1T2: Make a scatter plot of weight versus height and colour by sex for inhabitants of Louisa above the age of 40
library(ggplot2)
diabetes_1 %>%
filter(location == "Louisa", age > 40) %>%
ggplot(aes(x = height_cm, y = weight_kg, color = gender)) +
geom_point()
T3: Make a box plot of height versus location stratified on sex for people above the age of 50
ggplot(diabetes_1 %>% filter(age > 50), aes(x = location, y = height_cm, fill = gender)) +
geom_boxplot()
Sorting columns (don’t use summary() yet)
Sorting columns can aid in getting an overview of variable ranges.
Q11: How old is the youngest person?
min(diabetes_1$age, na.rm = TRUE)## [1] 19Q12: How old is the oldest person?
max(diabetes_1$age, na.rm = TRUE)## [1] 92Q13: Of all the 20-year-olds, what is the height of the tallest?
diabetes_1 %>%
filter(age == 20) %>%
summarize(max_height = max(height, na.rm = TRUE))## max_height
## 1 72Q14: Of all the 20-year-olds, what is the height of the shortest?
diabetes_1 %>%
filter(age == 20) %>%
summarize(min_height = min(height, na.rm = TRUE))## min_height
## 1 58Selecting specific columns
Choosing specific columns can be used to work with a subset of the data for a specific purpose.
Q15: How many columns (variables) starts_with a “b”?
diabetes_1 %>% select(starts_with("b"))## bp.1s bp.1d bp.2s bp.2d
## 1 118 59 NA NA
## 2 112 68 NA NA
## 3 190 92 185 92
## 4 110 50 NA NA
## 5 138 80 NA NA
## 6 132 86 NA NA
## 7 161 112 161 112
## 8 NA NA NA NA
## 9 160 80 128 86
## 10 108 72 NA NA
## 11 130 90 130 90
## 12 102 68 NA NA
## 13 130 80 NA NA
## 14 NA NA NA NA
## 15 100 66 NA NA
## 16 130 90 120 96
## 17 130 100 NA NA
## 18 100 90 NA NA
## 19 110 76 NA NA
## 20 178 90 NA NA
## 21 148 88 148 84
## 22 137 100 149 110
## 23 136 83 NA NA
## 24 158 88 160 88
## 25 100 70 110 70
## 26 144 112 NA NA
## 27 140 95 NA NA
## 28 120 85 NA NA
## 29 125 70 NA NA
## 30 180 122 170 112
## 31 146 94 139 89
## 32 130 90 NA NA
## 33 170 88 168 80
## 34 176 86 180 90
## 35 120 78 NA NA
## 36 140 97 NA NA
## 37 115 64 NA NA
## 38 NA NA NA NA
## 39 124 64 NA NA
## 40 158 90 160 96
## 41 105 85 NA NA
## 42 142 79 NA NA
## 43 149 89 136 88
## 44 124 80 NA NA
## 45 130 60 NA NA
## 46 110 82 NA NA
## 47 140 65 NA NA
## 48 110 68 NA NA
## 49 106 82 NA NA
## 50 150 82 142 78
## 51 158 78 140 84
## 52 104 90 NA NA
## 53 158 94 149 96
## 54 124 86 NA NA
## 55 126 80 NA NA
## 56 165 110 153 100
## 57 141 81 NA NA
## 58 160 82 NA NA
## 59 130 90 NA NA
## 60 138 79 NA NA
## 61 159 99 160 103
## 62 130 79 NA NA
## 63 158 98 148 88
## 64 NA NA NA NA
## 65 121 71 NA NA
## 66 120 90 NA NA
## 67 120 70 NA NA
## 68 150 80 145 80
## 69 160 60 160 60
## 70 170 82 NA NA
## 71 138 94 140 80
## 72 126 75 NA NA
## 73 108 70 NA NA
## 74 142 98 130 92
## 75 140 90 NA NA
## 76 156 78 144 76
## 77 130 86 NA NA
## 78 178 120 182 110
## 79 120 75 NA NA
## 80 174 75 NA NA
## 81 145 100 NA NA
## 82 138 78 NA NA
## 83 120 76 NA NA
## 84 136 52 NA NA
## 85 147 72 NA NA
## 86 119 68 NA NA
## 87 139 69 NA NA
## 88 120 80 NA NA
## 89 125 64 NA NA
## 90 121 62 NA NA
## 91 138 79 NA NA
## 92 151 85 148 79
## 93 103 64 NA NA
## 94 119 72 NA NA
## 95 110 90 NA NA
## 96 125 85 117 68
## 97 112 72 NA NA
## 98 142 102 156 106
## 99 160 92 150 98
## 100 160 80 158 80
## 101 111 65 NA NA
## 102 136 96 130 94
## 103 136 84 NA NA
## 104 136 90 126 84
## 105 115 68 NA NA
## 106 130 90 NA NA
## 107 110 90 NA NA
## 108 150 90 156 88
## 109 170 90 170 100
## 110 130 73 NA NA
## 111 132 90 NA NA
## 112 158 104 158 108
## 113 138 82 NA NA
## 114 160 96 162 96
## 115 118 70 NA NA
## 116 131 88 NA NA
## 117 141 99 NA NA
## 118 139 79 NA NA
## 119 159 99 150 89
## 120 150 80 NA NA
## 121 150 105 150 100
## 122 150 102 150 100
## 123 138 82 NA NA
## 124 160 68 158 74
## 125 124 78 NA NA
## 126 112 62 NA NA
## 127 110 80 NA NA
## 128 110 76 NA NA
## 129 170 92 NA NA
## 130 130 66 NA NA
## 131 180 110 210 110
## 132 122 70 NA NA
## 133 130 88 NA NA
## 134 132 72 NA NA
## 135 141 79 NA NA
## 136 111 62 NA NA
## 137 140 75 NA NA
## 138 136 83 NA NA
## 139 150 98 NA NA
## 140 162 78 156 82
## 141 110 68 NA NA
## 142 145 95 NA NA
## 143 104 64 NA NA
## 144 146 92 168 98
## 145 130 90 NA NA
## 146 125 72 NA NA
## 147 125 82 NA NA
## 148 140 86 NA NA
## 149 126 90 NA NA
## 150 108 78 NA NA
## 151 140 86 NA NA
## 152 135 88 NA NA
## 153 179 89 172 91
## 154 139 90 136 86
## 155 120 86 NA NA
## 156 151 87 NA NA
## 157 150 80 NA NA
## 158 110 72 NA NA
## 159 138 89 137 79
## 160 140 98 NA NA
## 161 110 90 NA NA
## 162 125 69 NA NA
## 163 146 76 NA NA
## 164 150 106 160 116
## 165 140 76 NA NA
## 166 98 66 NA NA
## 167 161 118 151 111
## 168 125 90 NA NA
## 169 138 88 NA NA
## 170 230 120 235 120
## 171 122 86 NA NA
## 172 142 78 136 84
## 173 136 86 NA NA
## 174 138 66 NA NA
## 175 132 80 NA NA
## 176 148 76 148 78
## 177 140 90 NA NA
## 178 118 69 NA NA
## 179 186 102 190 110
## 180 140 72 NA NA
## 181 200 94 208 90
## 182 110 78 NA NA
## 183 118 68 NA NA
## 184 146 98 136 96
## 185 136 90 NA NA
## 186 140 90 136 86
## 187 142 92 148 98
## 188 136 96 130 98
## 189 180 96 176 94
## 190 110 80 NA NA
## 191 140 102 148 102
## 192 142 96 140 86
## 193 132 82 NA NA
## 194 104 80 NA NA
## 195 138 82 NA NA
## 196 122 76 NA NA
## 197 142 70 NA NA
## 198 118 72 NA NA
## 199 190 110 170 90
## 200 118 86 NA NA
## 201 180 105 165 105
## 202 140 80 NA NA
## 203 160 78 158 84
## 204 142 80 142 90
## 205 170 88 180 100
## 206 199 115 190 99
## 207 131 79 NA NA
## 208 190 118 NA NA
## 209 110 76 NA NA
## 210 190 100 170 86
## 211 135 75 NA NA
## 212 120 80 NA NA
## 213 178 88 160 82
## 214 122 74 NA NA
## 215 110 76 NA NA
## 216 NA NA NA NA
## 217 125 64 NA NA
## 218 137 74 NA NA
## 219 130 70 NA NA
## 220 180 86 NA NA
## 221 130 70 NA NA
## 222 102 56 NA NA
## 223 130 73 NA NA
## 224 152 100 140 100
## 225 170 90 150 100
## 226 118 78 NA NA
## 227 160 66 150 80
## 228 150 110 150 90
## 229 165 115 160 96
## 230 142 100 144 110
## 231 132 86 NA NA
## 232 140 75 NA NA
## 233 184 76 180 84
## 234 176 110 150 102
## 235 150 74 146 76
## 236 170 96 178 96
## 237 130 80 NA NA
## 238 122 68 NA NA
## 239 116 53 NA NA
## 240 158 98 159 80
## 241 122 90 NA NA
## 242 140 65 NA NA
## 243 123 82 NA NA
## 244 118 78 NA NA
## 245 131 75 NA NA
## 246 108 58 NA NA
## 247 136 86 NA NA
## 248 121 75 NA NA
## 249 162 75 NA NA
## 250 100 72 NA NA
## 251 108 58 NA NA
## 252 150 78 NA NA
## 253 120 75 NA NA
## 254 100 60 NA NA
## 255 105 82 NA NA
## 256 125 70 NA NA
## 257 175 80 152 102
## 258 140 89 NA NA
## 259 118 66 NA NA
## 260 150 99 130 80
## 261 150 98 142 90
## 262 142 79 NA NA
## 263 106 82 NA NA
## 264 130 82 NA NA
## 265 140 65 NA NA
## 266 140 70 NA NA
## 267 108 76 NA NA
## 268 130 82 NA NA
## 269 150 99 150 85
## 270 138 90 NA NA
## 271 130 96 130 90
## 272 122 96 126 96
## 273 118 61 NA NA
## 274 121 75 NA NA
## 275 120 80 NA NA
## 276 125 60 NA NA
## 277 136 70 NA NA
## 278 140 90 NA NA
## 279 142 98 142 96
## 280 130 78 NA NA
## 281 150 81 NA NA
## 282 131 75 NA NA
## 283 127 71 NA NA
## 284 126 78 NA NA
## 285 148 82 158 80
## 286 140 86 128 74
## 287 106 82 NA NA
## 288 132 80 NA NA
## 289 110 68 NA NA
## 290 220 100 202 98
## 291 180 110 190 114
## 292 100 70 NA NA
## 293 212 114 210 112
## 294 134 74 NA NA
## 295 162 88 150 80
## 296 122 62 NA NA
## 297 138 80 NA NA
## 298 112 78 NA NA
## 299 128 90 138 90
## 300 148 92 138 84
## 301 130 76 NA NA
## 302 110 64 NA NA
## 303 122 64 NA NA
## 304 136 86 NA NA
## 305 172 124 176 124
## 306 138 78 NA NA
## 307 122 86 NA NA
## 308 120 68 NA NA
## 309 110 80 NA NA
## 310 138 76 NA NA
## 311 138 84 NA NA
## 312 250 100 NA NA
## 313 138 88 NA NA
## 314 116 76 NA NA
## 315 150 92 130 86
## 316 138 84 NA NA
## 317 110 64 NA NA
## 318 120 60 NA NA
## 319 130 75 NA NA
## 320 148 81 NA NA
## 321 135 88 NA NA
## 322 140 94 130 95
## 323 110 58 NA NA
## 324 145 72 142 70
## 325 142 81 NA NA
## 326 118 62 NA NA
## 327 131 111 130 80
## 328 140 112 138 89
## 329 140 87 NA NA
## 330 140 70 NA NA
## 331 130 75 NA NA
## 332 128 94 124 96
## 333 142 78 141 80
## 334 136 88 NA NA
## 335 128 82 NA NA
## 336 110 60 NA NA
## 337 108 68 NA NA
## 338 152 92 162 92
## 339 90 48 NA NA
## 340 122 90 NA NA
## 341 140 75 NA NA
## 342 126 80 NA NA
## 343 130 82 NA NA
## 344 135 100 170 98
## 345 122 74 NA NA
## 346 135 80 NA NA
## 347 162 108 158 110
## 348 140 72 NA NA
## 349 110 80 NA NA
## 350 172 110 168 108
## 351 138 92 135 88
## 352 142 90 142 92
## 353 130 100 170 114
## 354 140 98 142 102
## 355 178 100 170 96
## 356 162 90 152 90
## 357 134 78 NA NA
## 358 124 94 110 74
## 359 142 96 142 98
## 360 120 80 NA NA
## 361 140 90 140 90
## 362 124 82 NA NA
## 363 130 72 NA NA
## 364 100 50 NA NA
## 365 144 88 146 82
## 366 110 72 NA NA
## 367 156 88 158 86
## 368 148 98 130 100
## 369 160 100 160 100
## 370 110 70 NA NA
## 371 122 80 NA NA
## 372 140 100 136 100
## 373 140 100 136 92
## 374 140 100 138 82
## 375 125 80 NA NA
## 376 170 96 160 94
## 377 144 82 144 80
## 378 124 84 NA NA
## 379 170 110 166 108
## 380 110 64 NA NA
## 381 120 98 122 100
## 382 142 79 NA NA
## 383 140 90 138 84
## 384 130 94 130 88
## 385 120 84 NA NA
## 386 128 82 NA NA
## 387 140 96 148 100
## 388 174 90 174 84
## 389 118 78 NA NA
## 390 146 94 149 94
## 391 144 94 142 92
## 392 130 78 NA NA
## 393 110 70 NA NA
## 394 130 110 170 118
## 395 140 95 130 94
## 396 190 94 172 100
## 397 132 90 126 80
## 398 218 90 238 90
## 399 138 94 130 94
## 400 140 100 146 102
## 401 120 70 NA NA
## 402 120 78 NA NA
## 403 100 72 NA NAQ16: How many columns (variables) contains the word “eight”?
diabetes_1 %>% select(contains("eight"))## height weight height_cm weight_kg
## 1 62 121 157.5 54.9
## 2 64 218 162.6 98.9
## 3 61 256 154.9 116.1
## 4 67 119 170.2 54.0
## 5 68 183 172.7 83.0
## 6 71 190 180.3 86.2
## 7 69 191 175.3 86.6
## 8 59 170 149.9 77.1
## 9 69 166 175.3 75.3
## 10 63 202 160.0 91.6
## 11 65 156 165.1 70.8
## 12 58 195 147.3 88.5
## 13 60 170 152.4 77.1
## 14 59 165 149.9 74.8
## 15 69 183 175.3 83.0
## 16 65 157 165.1 71.2
## 17 65 183 165.1 83.0
## 18 67 159 170.2 72.1
## 19 64 126 162.6 57.2
## 20 65 196 165.1 88.9
## 21 67 178 170.2 80.7
## 22 67 230 170.2 104.3
## 23 69 288 175.3 130.6
## 24 62 185 157.5 83.9
## 25 61 113 154.9 51.3
## 26 72 118 182.9 53.5
## 27 68 252 172.7 114.3
## 28 68 100 172.7 45.4
## 29 62 145 157.5 65.8
## 30 70 189 177.8 85.7
## 31 65 174 165.1 78.9
## 32 68 139 172.7 63.1
## 33 74 191 188.0 86.6
## 34 69 174 175.3 78.9
## 35 66 118 167.6 53.5
## 36 66 186 167.6 84.4
## 37 66 159 167.6 72.1
## 38 72 205 182.9 93.0
## 39 71 145 180.3 65.8
## 40 69 214 175.3 97.1
## 41 66 160 167.6 72.6
## 42 62 170 157.5 77.1
## 43 67 192 170.2 87.1
## 44 75 253 190.5 114.8
## 45 59 137 149.9 62.1
## 46 64 233 162.6 105.7
## 47 67 165 170.2 74.8
## 48 67 196 170.2 88.9
## 49 65 180 165.1 81.6
## 50 66 219 167.6 99.3
## 51 65 154 165.1 69.9
## 52 64 181 162.6 82.1
## 53 61 187 154.9 84.8
## 54 64 167 162.6 75.8
## 55 60 220 152.4 99.8
## 56 68 274 172.7 124.3
## 57 68 180 172.7 81.6
## 58 62 217 157.5 98.4
## 59 62 189 157.5 85.7
## 60 66 191 167.6 86.6
## 61 63 183 160.0 83.0
## 62 70 161 177.8 73.0
## 63 70 235 177.8 106.6
## 64 NA 125 NA 56.7
## 65 70 165 177.8 74.8
## 66 64 126 162.6 57.2
## 67 62 137 157.5 62.1
## 68 63 165 160.0 74.8
## 69 61 102 154.9 46.3
## 70 61 127 154.9 57.6
## 71 71 214 180.3 97.1
## 72 69 245 175.3 111.1
## 73 64 161 162.6 73.0
## 74 68 264 172.7 119.8
## 75 75 142 190.5 64.4
## 76 60 143 152.4 64.9
## 77 62 183 157.5 83.0
## 78 70 173 177.8 78.5
## 79 71 223 180.3 101.2
## 80 63 154 160.0 69.9
## 81 73 219 185.4 99.3
## 82 67 169 170.2 76.7
## 83 73 200 185.4 90.7
## 84 64 200 162.6 90.7
## 85 61 145 154.9 65.8
## 86 67 178 170.2 80.7
## 87 NA 215 NA 97.5
## 88 62 205 157.5 93.0
## 89 62 151 157.5 68.5
## 90 66 170 167.6 77.1
## 91 68 169 172.7 76.7
## 92 63 159 160.0 72.1
## 93 61 110 154.9 49.9
## 94 68 198 172.7 89.8
## 95 67 185 170.2 83.9
## 96 63 142 160.0 64.4
## 97 59 139 149.9 63.1
## 98 63 156 160.0 70.8
## 99 65 220 165.1 99.8
## 100 67 197 170.2 89.4
## 101 63 200 160.0 90.7
## 102 69 154 175.3 69.9
## 103 61 203 154.9 92.1
## 104 71 180 180.3 81.6
## 105 61 150 154.9 68.0
## 106 68 204 172.7 92.5
## 107 67 200 170.2 90.7
## 108 59 125 149.9 56.7
## 109 70 165 177.8 74.8
## 110 70 170 177.8 77.1
## 111 70 212 177.8 96.2
## 112 72 227 182.9 103.0
## 113 69 150 175.3 68.0
## 114 64 174 162.6 78.9
## 115 61 119 154.9 54.0
## 116 73 175 185.4 79.4
## 117 63 230 160.0 104.3
## 118 63 158 160.0 71.7
## 119 70 263 177.8 119.3
## 120 71 156 180.3 70.8
## 121 70 120 177.8 54.4
## 122 67 172 170.2 78.0
## 123 72 170 182.9 77.1
## 124 63 158 160.0 71.7
## 125 76 164 193.0 74.4
## 126 65 169 165.1 76.7
## 127 65 235 165.1 106.6
## 128 63 125 160.0 56.7
## 129 63 244 160.0 110.7
## 130 71 225 180.3 102.1
## 131 64 140 162.6 63.5
## 132 67 227 170.2 103.0
## 133 64 160 162.6 72.6
## 134 65 167 165.1 75.8
## 135 64 325 162.6 147.4
## 136 63 121 160.0 54.9
## 137 74 151 188.0 68.5
## 138 67 223 170.2 101.2
## 139 71 266 180.3 120.7
## 140 67 177 170.2 80.3
## 141 63 170 160.0 77.1
## 142 68 146 172.7 66.2
## 143 66 121 167.6 54.9
## 144 66 170 167.6 77.1
## 145 67 151 170.2 68.5
## 146 71 159 180.3 72.1
## 147 64 105 162.6 47.6
## 148 70 277 177.8 125.6
## 149 62 160 157.5 72.6
## 150 72 145 182.9 65.8
## 151 71 320 180.3 145.2
## 152 62 163 157.5 73.9
## 153 66 163 167.6 73.9
## 154 69 169 175.3 76.7
## 155 65 232 165.1 105.2
## 156 68 210 172.7 95.3
## 157 76 160 193.0 72.6
## 158 62 145 157.5 65.8
## 159 70 215 177.8 97.5
## 160 66 255 167.6 115.7
## 161 69 308 175.3 139.7
## 162 69 NA 175.3 NA
## 163 64 158 162.6 71.7
## 164 65 210 165.1 95.3
## 165 64 123 162.6 55.8
## 166 66 118 167.6 53.5
## 167 68 167 172.7 75.8
## 168 75 186 190.5 84.4
## 169 63 158 160.0 71.7
## 170 65 145 165.1 65.8
## 171 63 119 160.0 54.0
## 172 67 282 170.2 127.9
## 173 69 171 175.3 77.6
## 174 69 172 175.3 78.0
## 175 65 138 165.1 62.6
## 176 73 187 185.4 84.8
## 177 66 189 167.6 85.7
## 178 59 204 149.9 92.5
## 179 66 215 167.6 97.5
## 180 65 167 165.1 75.8
## 181 66 189 167.6 85.7
## 182 72 180 182.9 81.6
## 183 65 165 165.1 74.8
## 184 71 179 180.3 81.2
## 185 69 204 175.3 92.5
## 186 63 233 160.0 105.7
## 187 71 210 180.3 95.3
## 188 71 195 180.3 88.5
## 189 63 199 160.0 90.3
## 190 64 185 162.6 83.9
## 191 67 147 170.2 66.7
## 192 61 119 154.9 54.0
## 193 66 171 167.6 77.6
## 194 62 184 157.5 83.5
## 195 67 158 170.2 71.7
## 196 NA 130 NA 59.0
## 197 65 134 165.1 60.8
## 198 66 251 167.6 113.9
## 199 61 200 154.9 90.7
## 200 70 140 177.8 63.5
## 201 63 114 160.0 51.7
## 202 67 209 170.2 94.8
## 203 68 210 172.7 95.3
## 204 64 179 162.6 81.2
## 205 65 109 165.1 49.4
## 206 55 130 139.7 59.0
## 207 66 145 167.6 65.8
## 208 62 167 157.5 75.8
## 209 68 179 172.7 81.2
## 210 63 144 160.0 65.3
## 211 69 130 175.3 59.0
## 212 63 164 160.0 74.4
## 213 65 201 165.1 91.2
## 214 75 186 190.5 84.4
## 215 73 174 185.4 78.9
## 216 64 136 162.6 61.7
## 217 62 105 157.5 47.6
## 218 69 130 175.3 59.0
## 219 63 124 160.0 56.2
## 220 63 170 160.0 77.1
## 221 62 134 157.5 60.8
## 222 65 165 165.1 74.8
## 223 67 191 170.2 86.6
## 224 65 175 165.1 79.4
## 225 61 180 154.9 81.6
## 226 68 142 172.7 64.4
## 227 61 147 154.9 66.7
## 228 66 110 167.6 49.9
## 229 69 204 175.3 92.5
## 230 63 181 160.0 82.1
## 231 70 187 177.8 84.8
## 232 NA 190 NA 86.2
## 233 70 181 177.8 82.1
## 234 67 140 170.2 63.5
## 235 67 201 170.2 91.2
## 236 68 196 172.7 88.9
## 237 63 153 160.0 69.4
## 238 68 170 172.7 77.1
## 239 66 188 167.6 85.3
## 240 59 179 149.9 81.2
## 241 72 259 182.9 117.5
## 242 66 200 167.6 90.7
## 243 71 162 180.3 73.5
## 244 62 141 157.5 64.0
## 245 68 183 172.7 83.0
## 246 67 160 170.2 72.6
## 247 65 120 165.1 54.4
## 248 65 145 165.1 65.8
## 249 64 174 162.6 78.9
## 250 63 252 160.0 114.3
## 251 60 135 152.4 61.2
## 252 63 155 160.0 70.3
## 253 63 179 160.0 81.2
## 254 71 211 180.3 95.7
## 255 62 115 157.5 52.2
## 256 66 190 167.6 86.2
## 257 63 290 160.0 131.5
## 258 71 168 180.3 76.2
## 259 66 255 167.6 115.7
## 260 69 205 175.3 93.0
## 261 73 260 185.4 117.9
## 262 72 250 182.9 113.4
## 263 69 166 175.3 75.3
## 264 63 170 160.0 77.1
## 265 69 182 175.3 82.6
## 266 63 176 160.0 79.8
## 267 64 145 162.6 65.8
## 268 66 172 167.6 78.0
## 269 71 277 180.3 125.6
## 270 69 167 175.3 75.8
## 271 69 205 175.3 93.0
## 272 67 183 170.2 83.0
## 273 65 123 165.1 55.8
## 274 63 128 160.0 58.1
## 275 65 183 165.1 83.0
## 276 62 99 157.5 44.9
## 277 72 270 182.9 122.5
## 278 60 138 152.4 62.6
## 279 63 285 160.0 129.3
## 280 68 180 172.7 81.6
## 281 63 160 160.0 72.6
## 282 71 170 180.3 77.1
## 283 61 185 154.9 83.9
## 284 70 163 177.8 73.9
## 285 52 187 132.1 84.8
## 286 61 128 154.9 58.1
## 287 62 153 157.5 69.4
## 288 62 125 157.5 56.7
## 289 69 155 175.3 70.3
## 290 64 223 162.6 101.2
## 291 70 161 177.8 73.0
## 292 67 216 170.2 98.0
## 293 63 179 160.0 81.2
## 294 68 227 172.7 103.0
## 295 69 159 175.3 72.1
## 296 74 170 188.0 77.1
## 297 66 138 167.6 62.6
## 298 63 114 160.0 51.7
## 299 64 239 162.6 108.4
## 300 62 174 157.5 78.9
## 301 65 188 165.1 85.3
## 302 65 198 165.1 89.8
## 303 64 114 162.6 51.7
## 304 68 225 172.7 102.1
## 305 63 143 160.0 64.9
## 306 67 146 170.2 66.2
## 307 70 141 177.8 64.0
## 308 65 151 165.1 68.5
## 309 64 248 162.6 112.5
## 310 74 152 188.0 68.9
## 311 60 130 152.4 59.0
## 312 62 165 157.5 74.8
## 313 70 180 177.8 81.6
## 314 71 163 180.3 73.9
## 315 66 179 167.6 81.2
## 316 61 156 154.9 70.8
## 317 64 130 162.6 59.0
## 318 NA 160 NA 72.6
## 319 69 210 175.3 95.3
## 320 73 164 185.4 74.4
## 321 66 115 167.6 52.2
## 322 62 159 157.5 72.1
## 323 72 141 182.9 64.0
## 324 69 169 175.3 76.7
## 325 70 181 177.8 82.1
## 326 72 180 182.9 81.6
## 327 66 209 167.6 94.8
## 328 71 210 180.3 95.3
## 329 62 237 157.5 107.5
## 330 69 163 175.3 73.9
## 331 74 185 188.0 83.9
## 332 67 180 170.2 81.6
## 333 63 245 160.0 111.1
## 334 70 150 177.8 68.0
## 335 64 146 162.6 66.2
## 336 68 145 172.7 65.8
## 337 62 142 157.5 64.4
## 338 64 198 162.6 89.8
## 339 64 148 162.6 67.1
## 340 65 200 165.1 90.7
## 341 69 190 175.3 86.2
## 342 63 182 160.0 82.6
## 343 61 220 154.9 99.8
## 344 64 179 162.6 81.2
## 345 67 212 170.2 96.2
## 346 60 165 152.4 74.8
## 347 66 257 167.6 116.6
## 348 69 184 175.3 83.5
## 349 71 183 180.3 83.0
## 350 67 218 170.2 98.9
## 351 73 179 185.4 81.2
## 352 64 228 162.6 103.4
## 353 69 289 175.3 131.1
## 354 69 153 175.3 69.4
## 355 67 235 170.2 106.6
## 356 60 144 152.4 65.3
## 357 65 183 165.1 83.0
## 358 67 154 170.2 69.9
## 359 69 216 175.3 98.0
## 360 67 181 170.2 82.1
## 361 66 202 167.6 91.6
## 362 64 160 162.6 72.6
## 363 59 123 149.9 55.8
## 364 65 197 165.1 89.4
## 365 60 192 152.4 87.1
## 366 67 187 170.2 84.8
## 367 71 212 180.3 96.2
## 368 69 186 175.3 84.4
## 369 62 162 157.5 73.5
## 370 64 120 162.6 54.4
## 371 66 152 167.6 68.9
## 372 58 210 147.3 95.3
## 373 59 148 149.9 67.1
## 374 58 170 147.3 77.1
## 375 68 157 172.7 71.2
## 376 69 129 175.3 58.5
## 377 70 211 177.8 95.7
## 378 72 189 182.9 85.7
## 379 70 120 177.8 54.4
## 380 63 121 160.0 54.9
## 381 56 120 142.2 54.4
## 382 68 169 172.7 76.7
## 383 62 186 157.5 84.4
## 384 70 262 177.8 118.8
## 385 72 222 182.9 100.7
## 386 67 222 170.2 100.7
## 387 62 179 157.5 81.2
## 388 68 224 172.7 101.6
## 389 72 165 182.9 74.8
## 390 66 185 167.6 83.9
## 391 62 147 157.5 66.7
## 392 62 177 157.5 80.3
## 393 66 145 167.6 65.8
## 394 65 146 165.1 66.2
## 395 60 154 152.4 69.9
## 396 66 136 167.6 61.7
## 397 66 168 167.6 76.2
## 398 61 115 154.9 52.2
## 399 69 173 175.3 78.5
## 400 63 154 160.0 69.9
## 401 69 167 175.3 75.8
## 402 63 197 160.0 89.4
## 403 64 220 162.6 99.8Creating new variables
Creating new variables is an integral part of data manipulation.
T4: Create a new variable, where you calculate the BMI
diabetes_2<- diabetes_1 %>% mutate(BMI=weight_kg/(height_cm/100)^2)
diabetes_2## id chol stab.glu hdl ratio glyhb location age gender height weight
## 1 1000 203 82 56 3.6 4.31 Buckingham 46 female 62 121
## 2 1001 165 97 24 6.9 4.44 Buckingham 29 female 64 218
## 3 1002 228 92 37 6.2 4.64 Buckingham 58 female 61 256
## 4 1003 78 93 12 6.5 4.63 Buckingham 67 male 67 119
## 5 1005 249 90 28 8.9 7.72 Buckingham 64 male 68 183
## 6 1008 248 94 69 3.6 4.81 Buckingham 34 male 71 190
## 7 1011 195 92 41 4.8 4.84 Buckingham 30 male 69 191
## 8 1015 227 75 44 5.2 3.94 Buckingham 37 male 59 170
## 9 1016 177 87 49 3.6 4.84 Buckingham 45 male 69 166
## 10 1022 263 89 40 6.6 5.78 Buckingham 55 female 63 202
## 11 1024 242 82 54 4.5 4.77 Louisa 60 female 65 156
## 12 1029 215 128 34 6.3 4.97 Louisa 38 female 58 195
## 13 1030 238 75 36 6.6 4.47 Louisa 27 female 60 170
## 14 1031 183 79 46 4.0 4.59 Louisa 40 female 59 165
## 15 1035 191 76 30 6.4 4.67 Louisa 36 male 69 183
## 16 1036 213 83 47 4.5 3.41 Louisa 33 female 65 157
## 17 1037 255 78 38 6.7 4.33 Louisa 50 female 65 183
## 18 1041 230 112 64 3.6 4.53 Louisa 20 male 67 159
## 19 1045 194 81 36 5.4 5.28 Louisa 36 male 64 126
## 20 1250 196 206 41 4.8 11.24 Buckingham 62 female 65 196
## 21 1252 186 97 50 3.7 6.49 Buckingham 70 male 67 178
## 22 1253 234 65 76 3.1 4.67 Buckingham 47 male 67 230
## 23 1254 203 299 43 4.7 12.74 Buckingham 38 female 69 288
## 24 1256 281 92 41 6.9 5.56 Buckingham 66 female 62 185
## 25 1271 228 66 45 5.1 4.61 Buckingham 24 female 61 113
## 26 1277 179 80 92 1.9 4.18 Buckingham 41 female 72 118
## 27 1280 232 87 30 7.7 5.10 Buckingham 37 male 68 252
## 28 1281 NA 74 NA NA 4.28 Buckingham 48 male 68 100
## 29 1282 254 84 52 4.9 4.52 Buckingham 43 female 62 145
## 30 1285 215 72 42 5.1 4.37 Louisa 40 male 70 189
## 31 1301 177 101 36 4.9 5.11 Buckingham 42 female 65 174
## 32 1303 182 85 43 4.2 4.47 Buckingham 52 male 68 139
## 33 1304 265 330 34 7.8 15.52 Buckingham 61 male 74 191
## 34 1305 182 85 37 4.9 5.66 Buckingham 61 female 69 174
## 35 1309 199 87 63 3.2 3.67 Buckingham 25 male 66 118
## 36 1312 183 81 60 3.1 4.03 Buckingham 47 female 66 186
## 37 1313 194 86 67 2.9 2.68 Buckingham 35 male 66 159
## 38 1314 190 107 32 5.9 3.56 Buckingham 46 male 72 205
## 39 1315 173 80 57 3.0 6.21 Buckingham 57 male 71 145
## 40 1316 182 206 43 4.2 7.91 Buckingham 70 male 69 214
## 41 1317 136 81 51 2.7 4.58 Buckingham 22 female 66 160
## 42 1321 218 68 46 4.7 3.89 Buckingham 52 female 62 170
## 43 1323 225 83 42 5.4 4.38 Buckingham 36 male 67 192
## 44 1326 262 84 38 6.9 NA Buckingham 43 male 75 253
## 45 1500 213 76 40 5.3 5.96 Buckingham 72 female 59 137
## 46 1501 243 52 59 4.1 4.41 Buckingham 37 female 64 233
## 47 1502 148 193 14 10.6 6.14 Buckingham 54 female 67 165
## 48 2004 128 223 24 5.3 10.90 Buckingham 60 male 67 196
## 49 2750 169 85 51 3.3 6.14 Buckingham 40 female 65 180
## 50 2753 157 74 47 3.3 5.57 Buckingham 55 female 66 219
## 51 2754 196 82 58 3.4 4.25 Buckingham 76 male 65 154
## 52 2756 237 87 41 5.8 5.35 Buckingham 43 female 64 181
## 53 2757 212 97 45 4.7 6.33 Buckingham 65 female 61 187
## 54 2758 233 92 39 6.0 4.56 Buckingham 45 female 64 167
## 55 2762 289 111 50 5.8 9.39 Buckingham 70 female 60 220
## 56 2763 193 106 63 3.1 6.35 Buckingham 20 female 68 274
## 57 2765 204 128 61 3.3 5.20 Buckingham 62 male 68 180
## 58 2770 165 94 69 2.4 4.98 Buckingham 92 female 62 217
## 59 2773 237 233 58 4.1 13.70 Buckingham 49 female 62 189
## 60 2774 218 88 39 5.6 NA Buckingham 44 female 66 191
## 61 2775 296 262 60 4.9 10.93 Buckingham 74 female 63 183
## 62 2777 178 78 59 3.0 5.23 Buckingham 36 male 70 161
## 63 2778 443 185 23 19.3 14.31 Buckingham 51 female 70 235
## 64 2780 145 85 29 5.0 3.99 Buckingham 38 female NA 125
## 65 2784 234 80 63 3.7 NA Buckingham 31 male 70 165
## 66 2785 146 77 60 2.4 4.27 Buckingham 28 female 64 126
## 67 2787 223 75 85 2.6 4.25 Buckingham 22 female 62 137
## 68 2791 213 203 75 2.8 11.41 Buckingham 71 female 63 165
## 69 2793 173 131 69 2.5 4.44 Buckingham 76 female 61 102
## 70 2794 232 184 114 2.0 8.40 Buckingham 91 female 61 127
## 71 2795 171 92 54 3.2 4.59 Buckingham 40 male 71 214
## 72 3250 164 86 40 4.1 5.23 Buckingham 23 female 69 245
## 73 3750 170 69 64 2.7 4.39 Buckingham 20 female 64 161
## 74 3751 180 84 69 2.6 5.20 Buckingham 40 female 68 264
## 75 3752 204 57 74 2.8 6.11 Buckingham 52 male 75 142
## 76 4000 209 113 65 3.2 7.44 Buckingham 76 female 60 143
## 77 4500 242 108 53 4.6 5.47 Buckingham 46 female 62 183
## 78 4501 134 105 42 3.2 4.29 Buckingham 48 male 70 173
## 79 4506 217 81 60 3.6 3.93 Buckingham 22 female 71 223
## 80 4515 251 94 36 7.0 6.96 Buckingham 58 female 63 154
## 81 4517 217 88 40 5.4 4.84 Buckingham 34 male 73 219
## 82 4750 300 103 44 6.8 5.18 Louisa 61 female 67 169
## 83 4751 218 87 38 5.7 5.52 Louisa 40 male 73 200
## 84 4753 189 96 47 4.0 4.38 Louisa 28 female 64 200
## 85 4758 185 84 52 3.6 5.28 Louisa 53 female 61 145
## 86 4759 206 85 46 4.5 4.82 Louisa 67 male 67 178
## 87 4760 218 182 54 4.0 10.55 Louisa 51 female NA 215
## 88 4761 189 75 72 2.6 4.86 Louisa 49 female 62 205
## 89 4763 229 95 74 3.1 4.86 Louisa 65 female 62 151
## 90 4767 228 76 53 4.3 4.11 Louisa 54 male 66 170
## 91 4770 159 88 43 3.7 5.02 Louisa 38 male 68 169
## 92 4771 249 197 44 5.7 9.17 Louisa 64 female 63 159
## 93 4772 170 106 42 4.0 5.11 Louisa 41 female 61 110
## 94 4776 174 125 44 4.0 5.07 Louisa 67 male 68 198
## 95 4780 204 62 70 2.9 4.84 Louisa 27 female 67 185
## 96 4783 203 84 75 2.7 4.10 Louisa 21 female 63 142
## 97 4786 241 86 63 3.8 4.79 Louisa 41 female 59 139
## 98 4787 245 120 39 6.3 7.79 Louisa 47 female 63 156
## 99 4789 143 91 37 3.9 5.15 Louisa 61 female 65 220
## 100 4790 224 341 33 6.8 10.15 Louisa 65 male 67 197
## 101 4792 168 69 45 3.7 4.17 Louisa 28 female 63 200
## 102 4793 184 79 39 4.7 4.05 Louisa 41 male 69 154
## 103 4794 199 130 48 4.1 5.44 Louisa 37 female 61 203
## 104 4795 158 91 48 3.3 4.31 Louisa 50 male 71 180
## 105 4796 209 176 55 3.8 9.77 Louisa 57 female 61 150
## 106 4801 214 111 59 3.6 3.89 Louisa 28 male 68 204
## 107 4802 293 85 94 3.1 5.17 Louisa 31 female 67 200
## 108 4803 227 105 44 5.2 5.71 Louisa 83 female 59 125
## 109 4805 292 235 55 5.3 7.87 Buckingham 79 male 70 165
## 110 4808 218 80 71 3.1 NA Buckingham 68 male 70 170
## 111 4813 244 101 36 6.8 4.66 Buckingham 32 male 70 212
## 112 4818 283 83 74 3.8 4.22 Louisa 26 male 72 227
## 113 4821 186 74 76 2.4 5.17 Louisa 36 male 69 150
## 114 4822 273 94 49 5.6 3.76 Louisa 53 female 64 174
## 115 4823 193 77 49 3.9 4.31 Louisa 19 female 61 119
## 116 4825 194 80 34 5.7 4.61 Buckingham 63 male 73 175
## 117 4826 231 105 61 3.8 NA Buckingham 58 female 63 230
## 118 4827 217 78 48 4.5 NA Buckingham 53 female 63 158
## 119 4833 174 173 34 5.1 5.35 Buckingham 50 male 70 263
## 120 4835 225 84 82 2.7 4.36 Buckingham 41 male 71 156
## 121 4840 268 85 51 5.3 4.41 Louisa 48 male 70 120
## 122 4841 195 108 46 4.2 8.45 Louisa 59 female 67 172
## 123 4842 179 70 52 3.4 3.98 Louisa 34 male 72 170
## 124 4843 215 119 44 3.9 9.76 Louisa 63 female 63 158
## 125 10000 185 76 58 3.2 4.83 Buckingham 23 male 76 164
## 126 10001 132 99 34 3.9 4.01 Buckingham 21 female 65 169
## 127 10012 175 91 42 4.2 3.84 Louisa 23 female 65 235
## 128 10014 179 81 35 5.1 4.95 Buckingham 36 female 63 125
## 129 10016 228 115 61 3.7 6.39 Buckingham 71 female 63 244
## 130 10020 181 177 24 7.5 7.53 Buckingham 64 male 71 225
## 131 12002 160 100 36 4.4 4.62 Louisa 43 female 64 140
## 132 12004 188 77 45 4.2 4.79 Louisa 31 female 67 227
## 133 12005 168 101 59 2.8 5.09 Louisa 44 female 64 160
## 134 12006 318 270 108 2.9 6.51 Louisa 60 female 65 167
## 135 12501 192 109 44 4.4 4.86 Buckingham 43 female 64 325
## 136 12502 209 87 34 6.1 4.41 Buckingham 48 female 63 121
## 137 12506 129 110 42 3.1 6.13 Buckingham 56 male 74 151
## 138 12507 160 122 41 3.9 6.49 Buckingham 55 female 67 223
## 139 12509 160 196 33 4.8 7.51 Buckingham 49 male 71 266
## 140 12751 211 48 34 6.2 6.97 Louisa 58 male 67 177
## 141 12754 262 93 43 6.1 4.90 Louisa 33 female 63 170
## 142 12760 201 81 87 2.3 4.81 Buckingham 48 female 68 146
## 143 12761 263 82 92 2.9 4.58 Buckingham 66 female 66 121
## 144 12763 219 112 73 3.0 9.18 Buckingham 59 male 66 170
## 145 12765 191 83 88 2.2 5.46 Buckingham 45 female 67 151
## 146 12766 171 97 69 2.5 4.04 Buckingham 52 male 71 159
## 147 12768 219 112 73 3.0 5.23 Buckingham 76 male 64 105
## 148 12769 347 197 42 8.3 6.34 Buckingham 36 male 70 277
## 149 12772 269 73 34 7.9 5.37 Buckingham 41 female 62 160
## 150 12778 164 71 63 2.6 4.51 Buckingham 20 male 72 145
## 151 13250 181 255 26 7.0 9.58 Buckingham 50 male 71 320
## 152 13254 190 84 44 4.3 5.55 Buckingham 43 female 62 163
## 153 13500 255 112 34 7.5 5.60 Louisa 82 male 66 163
## 154 13501 218 126 32 6.8 4.87 Louisa 35 male 69 169
## 155 13503 223 90 48 4.6 5.60 Buckingham 47 female 65 232
## 156 13505 254 342 37 6.9 12.97 Buckingham 75 male 68 210
## 157 14756 236 102 36 6.6 5.63 Buckingham 62 male 76 160
## 158 14758 176 92 55 3.2 4.50 Buckingham 31 female 62 145
## 159 15007 158 91 31 5.1 5.56 Louisa 50 male 70 215
## 160 15008 181 83 44 4.1 4.03 Louisa 39 female 66 255
## 161 15010 151 85 48 3.1 4.38 Louisa 33 male 69 308
## 162 15012 115 239 36 3.2 13.60 Louisa 58 male 69 NA
## 163 15013 271 121 40 6.8 4.57 Louisa 81 female 64 158
## 164 15016 190 92 44 4.3 4.66 Louisa 27 female 65 210
## 165 15017 118 95 39 3.0 4.71 Louisa 47 female 64 123
## 166 15250 168 82 44 3.8 4.40 Buckingham 33 female 66 118
## 167 15252 254 121 39 6.5 9.25 Buckingham 67 male 68 167
## 168 15260 193 77 45 4.3 4.74 Buckingham 42 female 75 186
## 169 15264 187 84 64 2.9 4.40 Buckingham 21 female 63 158
## 170 15271 212 79 49 4.3 5.49 Buckingham 51 female 65 145
## 171 15274 170 76 60 2.8 3.44 Buckingham 27 female 63 119
## 172 15276 215 110 36 6.0 9.82 Louisa 51 female 67 282
## 173 15277 199 85 59 3.4 4.96 Louisa 71 male 69 171
## 174 15278 140 385 31 4.5 11.59 Louisa 50 male 69 172
## 175 15279 216 79 46 4.7 4.41 Louisa 54 female 65 138
## 176 15500 204 113 35 5.8 4.44 Buckingham 59 male 73 187
## 177 15501 193 248 24 8.0 7.14 Buckingham 59 female 66 189
## 178 15502 267 133 34 7.9 8.81 Louisa 40 female 59 204
## 179 15512 201 106 53 3.8 5.35 Louisa 58 male 66 215
## 180 15513 204 120 44 4.6 4.69 Louisa 72 male 65 167
## 181 15514 246 104 62 4.0 7.40 Louisa 66 female 66 189
## 182 15515 229 91 43 5.3 4.73 Louisa 23 male 72 180
## 183 15516 172 101 46 3.7 4.52 Louisa 42 female 65 165
## 184 15517 197 120 37 5.3 4.95 Louisa 43 male 71 179
## 185 15518 205 79 32 6.4 4.21 Louisa 75 male 69 204
## 186 15519 219 106 50 4.4 4.56 Louisa 65 female 63 233
## 187 15520 174 90 36 4.8 5.35 Louisa 34 male 71 210
## 188 15521 192 89 30 6.4 4.04 Louisa 37 male 71 195
## 189 15522 206 94 44 4.7 5.49 Louisa 61 female 63 199
## 190 15527 160 71 44 3.6 4.64 Louisa 36 female 64 185
## 191 15529 216 109 86 2.5 4.40 Louisa 45 female 67 147
## 192 15540 236 111 82 2.9 5.24 Louisa 68 female 61 119
## 193 15542 205 88 41 5.0 NA Louisa 57 male 66 171
## 194 15545 206 112 33 6.2 4.03 Louisa 41 female 62 184
## 195 15546 143 371 46 3.1 4.81 Louisa 68 male 67 158
## 196 15757 173 83 37 4.7 4.31 Buckingham 40 female NA 130
## 197 15758 235 91 37 6.4 5.23 Buckingham 79 female 65 134
## 198 15760 169 95 29 5.8 5.22 Buckingham 62 male 66 251
## 199 15761 283 145 39 7.3 8.25 Buckingham 63 female 61 200
## 200 15762 174 93 77 2.3 4.95 Buckingham 55 male 70 140
## 201 15763 271 103 90 3.0 4.01 Buckingham 55 female 63 114
## 202 15766 203 94 62 3.3 4.67 Buckingham 27 female 67 209
## 203 15773 188 174 24 7.8 6.17 Louisa 66 male 68 210
## 204 15777 293 87 120 2.4 4.76 Louisa 63 female 64 179
## 205 15779 215 80 100 2.2 4.66 Louisa 78 male 65 109
## 206 15782 207 77 46 4.5 4.82 Buckingham 68 male 55 130
## 207 15787 179 77 72 2.5 4.97 Buckingham 31 male 66 145
## 208 15792 202 81 55 3.7 5.50 Buckingham 64 female 62 167
## 209 15795 211 98 40 5.3 3.55 Buckingham 40 female 68 179
## 210 15797 211 225 29 7.3 10.09 Buckingham 61 female 63 144
## 211 15798 151 74 47 3.2 4.01 Buckingham 28 male 69 130
## 212 15799 171 85 61 2.8 5.10 Buckingham 34 female 63 164
## 213 15800 342 251 48 7.1 12.67 Buckingham 63 female 65 201
## 214 15801 179 236 63 2.8 12.07 Buckingham 55 male 75 186
## 215 15802 155 58 69 2.2 4.17 Buckingham 26 male 73 174
## 216 15805 197 92 46 4.3 4.75 Buckingham 36 female 64 136
## 217 15812 200 56 51 3.9 3.55 Buckingham 40 female 62 105
## 218 15813 237 96 52 4.6 NA Buckingham 45 male 69 130
## 219 15814 198 118 46 4.3 4.44 Buckingham 68 female 63 124
## 220 15815 240 88 49 4.9 4.92 Buckingham 82 female 63 170
## 221 15816 192 56 42 4.6 4.59 Buckingham 60 female 62 134
## 222 15818 145 84 54 2.7 4.73 Buckingham 30 female 65 165
## 223 15820 269 59 66 4.1 5.14 Buckingham 41 male 67 191
## 224 15821 240 96 57 4.2 5.74 Buckingham 54 female 65 175
## 225 15827 205 83 42 4.9 4.87 Buckingham 72 female 61 180
## 226 15828 266 82 54 4.9 5.41 Buckingham 47 male 68 142
## 227 16000 188 88 51 3.7 5.13 Buckingham 50 female 61 147
## 228 16001 222 82 87 2.6 4.64 Buckingham 51 female 66 110
## 229 16003 142 155 25 5.7 6.96 Buckingham 45 male 69 204
## 230 16004 268 90 48 5.6 5.36 Buckingham 38 female 63 181
## 231 16005 174 105 117 1.5 5.53 Buckingham 20 male 70 187
## 232 16016 214 87 35 6.1 5.38 Buckingham 44 female NA 190
## 233 17002 194 54 57 3.4 4.26 Louisa 63 male 70 181
## 234 17751 196 115 62 3.2 4.34 Louisa 50 male 67 140
## 235 17752 207 187 46 4.5 8.57 Louisa 44 female 67 201
## 236 17754 204 89 56 3.6 5.02 Louisa 48 male 68 196
## 237 17755 189 84 46 4.1 4.36 Louisa 41 female 63 153
## 238 17756 179 77 50 3.6 3.33 Buckingham 29 male 68 170
## 239 17757 159 100 54 2.9 4.18 Buckingham 76 male 66 188
## 240 17760 260 68 60 4.3 4.78 Buckingham 69 female 59 179
## 241 17762 228 79 37 6.2 4.74 Buckingham 26 male 72 259
## 242 17765 242 74 55 4.4 3.97 Buckingham 70 female 66 200
## 243 17766 227 98 66 3.4 6.42 Buckingham 25 male 71 162
## 244 17767 208 122 51 4.1 6.48 Buckingham 42 female 62 141
## 245 17771 208 95 32 6.5 5.60 Buckingham 56 male 68 183
## 246 17772 209 89 43 4.9 4.85 Buckingham 31 female 67 160
## 247 17773 163 83 57 2.9 4.61 Buckingham 31 female 65 120
## 248 17776 201 100 46 4.4 4.10 Buckingham 27 female 65 145
## 249 17781 237 118 45 5.3 7.51 Buckingham 73 female 64 174
## 250 17784 176 90 34 5.2 4.24 Buckingham 32 female 63 252
## 251 17790 146 79 41 3.6 4.76 Buckingham 19 female 60 135
## 252 17791 231 70 110 2.1 3.75 Buckingham 71 female 63 155
## 253 17794 241 92 40 6.0 5.04 Buckingham 27 female 63 179
## 254 17795 305 91 44 6.9 5.34 Buckingham 31 male 71 211
## 255 17800 149 77 49 3.0 4.50 Buckingham 20 female 62 115
## 256 17802 183 69 51 3.6 4.37 Buckingham 31 female 66 190
## 257 17805 235 109 59 4.0 7.48 Buckingham 62 female 63 290
## 258 17808 244 101 39 6.3 4.36 Buckingham 44 male 71 168
## 259 17813 199 153 77 2.6 4.74 Buckingham 36 female 66 255
## 260 17814 224 85 30 7.5 5.26 Buckingham 36 male 69 205
## 261 17816 173 225 31 5.6 10.47 Buckingham 47 male 73 260
## 262 17817 192 124 31 5.6 5.17 Buckingham 30 male 72 250
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## 274 20258 226 68 83 2.7 NA Buckingham 49 female 63 128
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## 364 40775 219 173 31 7.1 10.16 Louisa 56 female 65 197
## 365 40784 226 279 52 4.3 10.07 Louisa 84 female 60 192
## 366 40785 217 75 54 4.0 3.66 Louisa 20 female 67 187
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## 368 40787 235 102 42 5.6 4.90 Louisa 60 male 69 186
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## 372 40799 194 95 36 5.4 4.97 Louisa 63 female 58 210
## 373 40803 215 64 84 2.6 4.04 Louisa 37 female 59 148
## 374 40804 179 105 60 3.0 4.68 Louisa 20 female 58 170
## 375 40805 202 84 33 6.1 4.17 Louisa 44 male 68 157
## 376 41000 194 87 65 3.0 4.14 Louisa 54 male 69 129
## 377 41001 227 85 26 8.7 4.98 Louisa 58 male 70 211
## 378 41003 337 85 62 5.4 4.66 Louisa 35 male 72 189
## 379 41004 255 83 90 2.8 4.29 Louisa 52 male 70 120
## 380 41021 162 90 46 3.5 5.56 Louisa 60 female 63 121
## 381 41023 322 87 92 3.5 4.45 Louisa 43 female 56 120
## 382 41029 289 267 38 7.6 11.41 Louisa 59 male 68 169
## 383 41034 217 87 40 5.4 4.07 Louisa 33 female 62 186
## 384 41035 209 91 36 5.8 5.01 Louisa 37 male 70 262
## 385 41036 214 77 48 4.5 4.48 Louisa 40 male 72 222
## 386 41037 302 81 57 5.3 4.65 Louisa 38 female 67 222
## 387 41039 179 85 52 3.4 4.05 Louisa 32 female 62 179
## 388 41041 279 270 40 7.0 8.11 Louisa 60 female 68 224
## 389 41055 144 81 28 5.1 4.13 Louisa 30 male 72 165
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## 392 41075 221 126 48 4.6 5.53 Louisa 59 female 62 177
## 393 41078 210 81 81 2.6 4.96 Louisa 78 male 66 145
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## 395 41254 169 104 58 2.9 4.82 Louisa 25 female 60 154
## 396 41500 179 85 50 3.6 4.99 Louisa 37 male 66 136
## 397 41501 216 84 64 3.4 NA Louisa 54 female 66 168
## 398 41503 301 90 118 2.6 4.28 Louisa 89 female 61 115
## 399 41506 296 369 46 6.4 16.11 Louisa 53 male 69 173
## 400 41507 284 89 54 5.3 4.39 Louisa 51 female 63 154
## 401 41510 194 269 38 5.1 13.63 Louisa 29 female 69 167
## 402 41752 199 76 52 3.8 4.49 Louisa 41 female 63 197
## 403 41756 159 88 79 2.0 NA Louisa 68 female 64 220
## frame bp.1s bp.1d bp.2s bp.2d waist hip time.ppn height_cm weight_kg
## 1 medium 118 59 NA NA 29 38 720 157.5 54.9
## 2 large 112 68 NA NA 46 48 360 162.6 98.9
## 3 large 190 92 185 92 49 57 180 154.9 116.1
## 4 large 110 50 NA NA 33 38 480 170.2 54.0
## 5 medium 138 80 NA NA 44 41 300 172.7 83.0
## 6 large 132 86 NA NA 36 42 195 180.3 86.2
## 7 medium 161 112 161 112 46 49 720 175.3 86.6
## 8 medium NA NA NA NA 34 39 1020 149.9 77.1
## 9 large 160 80 128 86 34 40 300 175.3 75.3
## 10 small 108 72 NA NA 45 50 240 160.0 91.6
## 11 medium 130 90 130 90 39 45 300 165.1 70.8
## 12 medium 102 68 NA NA 42 50 90 147.3 88.5
## 13 medium 130 80 NA NA 35 41 720 152.4 77.1
## 14 medium NA NA NA NA 37 43 60 149.9 74.8
## 15 medium 100 66 NA NA 36 40 225 175.3 83.0
## 16 medium 130 90 120 96 37 41 240 165.1 71.2
## 17 medium 130 100 NA NA 37 43 180 165.1 83.0
## 18 medium 100 90 NA NA 31 39 1440 170.2 72.1
## 19 medium 110 76 NA NA 30 34 120 162.6 57.2
## 20 large 178 90 NA NA 46 51 540 165.1 88.9
## 21 large 148 88 148 84 42 41 1020 170.2 80.7
## 22 large 137 100 149 110 45 46 480 170.2 104.3
## 23 large 136 83 NA NA 48 55 240 175.3 130.6
## 24 large 158 88 160 88 48 44 285 157.5 83.9
## 25 medium 100 70 110 70 33 38 210 154.9 51.3
## 26 small 144 112 NA NA 28 36 780 182.9 53.5
## 27 large 140 95 NA NA 43 47 420 172.7 114.3
## 28 small 120 85 NA NA 27 33 510 172.7 45.4
## 29 medium 125 70 NA NA 31 38 720 157.5 65.8
## 30 medium 180 122 170 112 37 39 450 177.8 85.7
## 31 medium 146 94 139 89 37 40 540 165.1 78.9
## 32 large 130 90 NA NA 29 35 780 172.7 63.1
## 33 medium 170 88 168 80 39 41 225 188.0 86.6
## 34 medium 176 86 180 90 49 43 330 175.3 78.9
## 35 medium 120 78 NA NA 32 34 720 167.6 53.5
## 36 medium 140 97 NA NA 39 44 780 167.6 84.4
## 37 medium 115 64 NA NA 31 35 720 167.6 72.1
## 38 medium NA NA NA NA 46 49 240 182.9 93.0
## 39 medium 124 64 NA NA 31 36 30 180.3 65.8
## 40 large 158 90 160 96 45 48 840 175.3 97.1
## 41 large 105 85 NA NA 35 40 720 167.6 72.6
## 42 medium 142 79 NA NA 40 43 720 157.5 77.1
## 43 large 149 89 136 88 40 42 30 170.2 87.1
## 44 large 124 80 NA NA 43 49 300 190.5 114.8
## 45 large 130 60 NA NA 40 40 90 149.9 62.1
## 46 medium 110 82 NA NA 49 57 90 162.6 105.7
## 47 medium 140 65 NA NA 42 42 150 170.2 74.8
## 48 medium 110 68 NA NA 42 43 450 170.2 88.9
## 49 medium 106 82 NA NA 40 44 780 165.1 81.6
## 50 medium 150 82 142 78 43 52 360 167.6 99.3
## 51 158 78 140 84 37 41 120 165.1 69.9
## 52 medium 104 90 NA NA 36 46 240 162.6 82.1
## 53 large 158 94 149 96 43 47 360 154.9 84.8
## 54 large 124 86 NA NA 39 44 270 162.6 75.8
## 55 medium 126 80 NA NA 51 54 780 152.4 99.8
## 56 small 165 110 153 100 49 58 60 172.7 124.3
## 57 large 141 81 NA NA 38 41 540 172.7 81.6
## 58 large 160 82 NA NA 51 51 180 157.5 98.4
## 59 large 130 90 NA NA 43 47 195 157.5 85.7
## 60 large 138 79 NA NA 40 45 720 167.6 86.6
## 61 large 159 99 160 103 42 48 300 160.0 83.0
## 62 medium 130 79 NA NA 34 40 720 177.8 73.0
## 63 medium 158 98 148 88 43 48 420 177.8 106.6
## 64 NA NA NA NA 31 35 120 NA 56.7
## 65 medium 121 71 NA NA 35 39 720 177.8 74.8
## 66 small 120 90 NA NA 28 32 180 162.6 57.2
## 67 medium 120 70 NA NA 28 35 960 157.5 62.1
## 68 medium 150 80 145 80 34 42 960 160.0 74.8
## 69 medium 160 60 160 60 31 33 1020 154.9 46.3
## 70 170 82 NA NA 35 38 120 154.9 57.6
## 71 medium 138 94 140 80 41 39 240 180.3 97.1
## 72 large 126 75 NA NA 44 47 420 175.3 111.1
## 73 medium 108 70 NA NA 37 40 120 162.6 73.0
## 74 medium 142 98 130 92 43 54 240 172.7 119.8
## 75 small 140 90 NA NA 31 35 300 190.5 64.4
## 76 large 156 78 144 76 35 40 1200 152.4 64.9
## 77 medium 130 86 NA NA 37 45 180 157.5 83.0
## 78 large 178 120 182 110 36 40 240 177.8 78.5
## 79 medium 120 75 NA NA 46 50 210 180.3 101.2
## 80 large 174 75 NA NA 38 41 180 160.0 69.9
## 81 medium 145 100 NA NA 41 42 270 185.4 99.3
## 82 small 138 78 NA NA 40 44 10 170.2 76.7
## 83 small 120 76 NA NA 38 41 210 185.4 90.7
## 84 medium 136 52 NA NA 38 45 60 162.6 90.7
## 85 medium 147 72 NA NA 37 40 420 154.9 65.8
## 86 large 119 68 NA NA 37 41 780 170.2 80.7
## 87 large 139 69 NA NA 42 53 720 NA 97.5
## 88 medium 120 80 NA NA 40 49 840 157.5 93.0
## 89 medium 125 64 NA NA 37 42 660 157.5 68.5
## 90 large 121 62 NA NA 36 41 420 167.6 77.1
## 91 large 138 79 NA NA 34 40 690 172.7 76.7
## 92 medium 151 85 148 79 33 41 1140 160.0 72.1
## 93 small 103 64 NA NA 29 30 120 154.9 49.9
## 94 large 119 72 NA NA 36 43 60 172.7 89.8
## 95 medium 110 90 NA NA 35 44 10 170.2 83.9
## 96 medium 125 85 117 68 28 39 900 160.0 64.4
## 97 medium 112 72 NA NA 29 39 1560 149.9 63.1
## 98 medium 142 102 156 106 35 39 120 160.0 70.8
## 99 large 160 92 150 98 40 50 20 165.1 99.8
## 100 medium 160 80 158 80 42 43 390 170.2 89.4
## 101 large 111 65 NA NA 42 46 780 160.0 90.7
## 102 large 136 96 130 94 34 39 600 175.3 69.9
## 103 large 136 84 NA NA 42 51 10 154.9 92.1
## 104 medium 136 90 126 84 36 40 45 180.3 81.6
## 105 small 115 68 NA NA 36 39 780 154.9 68.0
## 106 medium 130 90 NA NA 40 41 60 172.7 92.5
## 107 medium 110 90 NA NA 41 42 240 170.2 90.7
## 108 medium 150 90 156 88 35 40 300 149.9 56.7
## 109 170 90 170 100 39 41 240 177.8 74.8
## 110 large 130 73 NA NA 37 42 720 177.8 77.1
## 111 132 90 NA NA 39 44 NA 177.8 96.2
## 112 large 158 104 158 108 41 44 330 182.9 103.0
## 113 small 138 82 NA NA 31 38 60 175.3 68.0
## 114 medium 160 96 162 96 34 43 30 162.6 78.9
## 115 small 118 70 NA NA 32 38 300 154.9 54.0
## 116 medium 131 88 NA NA 34 39 30 185.4 79.4
## 117 large 141 99 NA NA 39 48 30 160.0 104.3
## 118 medium 139 79 NA NA 33 40 720 160.0 71.7
## 119 large 159 99 150 89 51 64 210 177.8 119.3
## 120 small 150 80 NA NA 31 40 120 180.3 70.8
## 121 small 150 105 150 100 32 35 120 177.8 54.4
## 122 small 150 102 150 100 38 43 300 170.2 78.0
## 123 medium 138 82 NA NA 31 39 1170 182.9 77.1
## 124 medium 160 68 158 74 34 42 240 160.0 71.7
## 125 small 124 78 NA NA 32 40 720 193.0 74.4
## 126 large 112 62 NA NA 39 43 180 165.1 76.7
## 127 medium 110 80 NA NA 44 50 10 165.1 106.6
## 128 medium 110 76 NA NA 33 36 240 160.0 56.7
## 129 large 170 92 NA NA 48 51 660 160.0 110.7
## 130 large 130 66 NA NA 44 47 180 180.3 102.1
## 131 small 180 110 210 110 37 40 225 162.6 63.5
## 132 medium 122 70 NA NA 47 53 140 170.2 103.0
## 133 small 130 88 NA NA 40 43 60 162.6 72.6
## 134 medium 132 72 NA NA 38 44 30 165.1 75.8
## 135 large 141 79 NA NA 53 62 60 162.6 147.4
## 136 small 111 62 NA NA 32 38 855 160.0 54.9
## 137 small 140 75 NA NA 34 38 90 188.0 68.5
## 138 medium 136 83 NA NA 43 48 960 170.2 101.2
## 139 large 150 98 NA NA 49 45 90 180.3 120.7
## 140 medium 162 78 156 82 38 43 315 170.2 80.3
## 141 medium 110 68 NA NA 33 46 210 160.0 77.1
## 142 small 145 95 NA NA 32 41 600 172.7 66.2
## 143 small 104 64 NA NA 31 33 30 167.6 54.9
## 144 medium 146 92 168 98 37 40 120 167.6 77.1
## 145 small 130 90 NA NA 33 38 1320 170.2 68.5
## 146 small 125 72 NA NA 33 39 750 180.3 72.1
## 147 medium 125 82 NA NA 29 33 60 162.6 47.6
## 148 large 140 86 NA NA 51 49 900 177.8 125.6
## 149 medium 126 90 NA NA 39 41 390 157.5 72.6
## 150 small 108 78 NA NA 29 36 1080 182.9 65.8
## 151 large 140 86 NA NA 56 49 30 180.3 145.2
## 152 large 135 88 NA NA 40 45 720 157.5 73.9
## 153 179 89 172 91 37 43 60 167.6 73.9
## 154 medium 139 90 136 86 39 41 720 175.3 76.7
## 155 large 120 86 NA NA 46 54 900 165.1 105.2
## 156 large 151 87 NA NA 44 45 15 172.7 95.3
## 157 large 150 80 NA NA 35 39 270 193.0 72.6
## 158 small 110 72 NA NA 36 42 720 157.5 65.8
## 159 large 138 89 137 79 40 45 720 177.8 97.5
## 160 medium 140 98 NA NA 46 54 210 167.6 115.7
## 161 large 110 90 NA NA 52 58 300 175.3 139.7
## 162 medium 125 69 NA NA 30 37 10 175.3 NA
## 163 medium 146 76 NA NA 36 43 10 162.6 71.7
## 164 medium 150 106 160 116 39 47 60 165.1 95.3
## 165 small 140 76 NA NA 30 36 300 162.6 55.8
## 166 small 98 66 NA NA 29 35 150 167.6 53.5
## 167 large 161 118 151 111 36 39 60 172.7 75.8
## 168 medium 125 90 NA NA 37 46 60 190.5 84.4
## 169 small 138 88 NA NA 39 43 180 160.0 71.7
## 170 small 230 120 235 120 38 42 60 165.1 65.8
## 171 small 122 86 NA NA 28 37 270 160.0 54.0
## 172 medium 142 78 136 84 52 59 420 170.2 127.9
## 173 large 136 86 NA NA 38 40 240 175.3 77.6
## 174 large 138 66 NA NA 37 41 210 175.3 78.0
## 175 small 132 80 NA NA 33 39 990 165.1 62.6
## 176 medium 148 76 148 78 38 37 90 185.4 84.8
## 177 medium 140 90 NA NA 38 45 90 167.6 85.7
## 178 small 118 69 NA NA 40 47 780 149.9 92.5
## 179 large 186 102 190 110 46 44 360 167.6 97.5
## 180 large 140 72 NA NA 45 46 480 165.1 75.8
## 181 medium 200 94 208 90 45 46 195 167.6 85.7
## 182 small 110 78 NA NA 34 41 60 182.9 81.6
## 183 small 118 68 NA NA 33 45 150 165.1 74.8
## 184 medium 146 98 136 96 37 44 30 180.3 81.2
## 185 large 136 90 NA NA 44 42 120 175.3 92.5
## 186 large 140 90 136 86 40 53 45 160.0 105.7
## 187 medium 142 92 148 98 37 43 90 180.3 95.3
## 188 medium 136 96 130 98 36 43 630 180.3 88.5
## 189 medium 180 96 176 94 41 47 720 160.0 90.3
## 190 medium 110 80 NA NA 39 45 300 162.6 83.9
## 191 medium 140 102 148 102 32 38 80 170.2 66.7
## 192 small 142 96 140 86 29 37 135 154.9 54.0
## 193 medium 132 82 NA NA 37 40 210 167.6 77.6
## 194 small 104 80 NA NA 39 44 10 157.5 83.5
## 195 small 138 82 NA NA 37 43 90 170.2 71.7
## 196 small 122 76 NA NA 37 38 360 NA 59.0
## 197 small 142 70 NA NA 34 38 240 165.1 60.8
## 198 large 118 72 NA NA 50 47 720 167.6 113.9
## 199 medium 190 110 170 90 44 48 720 154.9 90.7
## 200 medium 118 86 NA NA 32 33 120 177.8 63.5
## 201 small 180 105 165 105 30 37 15 160.0 51.7
## 202 medium 140 80 NA NA 34 43 780 170.2 94.8
## 203 large 160 78 158 84 45 48 60 172.7 95.3
## 204 medium 142 80 142 90 47 45 30 162.6 81.2
## 205 small 170 88 180 100 33 34 435 165.1 49.4
## 206 small 199 115 190 99 29 33 120 139.7 59.0
## 207 medium 131 79 NA NA 33 38 150 167.6 65.8
## 208 medium 190 118 NA NA 44 47 120 157.5 75.8
## 209 small 110 76 NA NA 37 43 60 172.7 81.2
## 210 medium 190 100 170 86 40 42 120 160.0 65.3
## 211 small 135 75 NA NA 29 35 720 175.3 59.0
## 212 medium 120 80 NA NA 34 43 60 160.0 74.4
## 213 medium 178 88 160 82 45 46 180 165.1 91.2
## 214 medium 122 74 NA NA 38 38 180 190.5 84.4
## 215 small 110 76 NA NA 30 35 180 185.4 78.9
## 216 small NA NA NA NA 32 37 NA 162.6 61.7
## 217 small 125 64 NA NA 26 33 720 157.5 47.6
## 218 small 137 74 NA NA 33 35 720 175.3 59.0
## 219 medium 130 70 NA NA 32 38 60 160.0 56.2
## 220 medium 180 86 NA NA 41 46 720 160.0 77.1
## 221 small 130 70 NA NA 31 40 90 157.5 60.8
## 222 small 102 56 NA NA 33 42 720 165.1 74.8
## 223 large 130 73 NA NA 38 41 240 170.2 86.6
## 224 medium 152 100 140 100 37 43 60 165.1 79.4
## 225 170 90 150 100 39 47 240 154.9 81.6
## 226 medium 118 78 NA NA 35 39 120 172.7 64.4
## 227 large 160 66 150 80 34 41 720 154.9 66.7
## 228 small 150 110 150 90 28 37 270 167.6 49.9
## 229 large 165 115 160 96 40 43 720 175.3 92.5
## 230 medium 142 100 144 110 38 46 210 160.0 82.1
## 231 medium 132 86 NA NA 37 41 210 177.8 84.8
## 232 large 140 75 NA NA 38 44 720 NA 86.2
## 233 large 184 76 180 84 37 42 60 177.8 82.1
## 234 medium 176 110 150 102 35 37 60 170.2 63.5
## 235 large 150 74 146 76 46 49 30 170.2 91.2
## 236 medium 170 96 178 96 38 42 90 172.7 88.9
## 237 medium 130 80 NA NA 32 40 15 160.0 69.4
## 238 small 122 68 NA NA 38 39 300 172.7 77.1
## 239 large 116 53 NA NA 40 41 180 167.6 85.3
## 240 large 158 98 159 80 45 48 180 149.9 81.2
## 241 large 122 90 NA NA 48 49 720 182.9 117.5
## 242 medium 140 65 NA NA 41 47 180 167.6 90.7
## 243 medium 123 82 NA NA 35 39 900 180.3 73.5
## 244 large 118 78 NA NA 33 40 720 157.5 64.0
## 245 medium 131 75 NA NA 36 39 20 172.7 83.0
## 246 medium 108 58 NA NA 30 44 240 170.2 72.6
## 247 small 136 86 NA NA 29 40 240 165.1 54.4
## 248 small 121 75 NA NA 32 35 60 165.1 65.8
## 249 large 162 75 NA NA 38 44 300 162.6 78.9
## 250 medium 100 72 NA NA 45 58 180 160.0 114.3
## 251 medium 108 58 NA NA 33 40 240 152.4 61.2
## 252 small 150 78 NA NA 33 41 900 160.0 70.3
## 253 medium 120 75 NA NA 40 42 720 160.0 81.2
## 254 large 100 60 NA NA 40 45 540 180.3 95.7
## 255 small 105 82 NA NA 31 37 720 157.5 52.2
## 256 medium 125 70 NA NA 41 47 720 167.6 86.2
## 257 large 175 80 152 102 55 62 300 160.0 131.5
## 258 medium 140 89 NA NA 36 39 720 180.3 76.2
## 259 large 118 66 NA NA 47 52 360 167.6 115.7
## 260 medium 150 99 130 80 37 41 360 175.3 93.0
## 261 medium 150 98 142 90 42 47 60 185.4 117.9
## 262 medium 142 79 NA NA 43 51 120 182.9 113.4
## 263 large 106 82 NA NA 39 38 420 175.3 75.3
## 264 medium 130 82 NA NA 35 42 240 160.0 77.1
## 265 large 140 65 NA NA 42 39 270 175.3 82.6
## 266 large 140 70 NA NA 34 44 60 160.0 79.8
## 267 medium 108 76 NA NA 34 42 90 162.6 65.8
## 268 large 130 82 NA NA 40 40 60 167.6 78.0
## 269 large 150 99 150 85 50 49 840 180.3 125.6
## 270 medium 138 90 NA NA 36 47 90 175.3 75.8
## 271 small 130 96 130 90 39 41 480 175.3 93.0
## 272 medium 122 96 126 96 38 40 NA 170.2 83.0
## 273 small 118 61 NA NA 26 37 240 165.1 55.8
## 274 small 121 75 NA NA 31 36 720 160.0 58.1
## 275 medium 120 80 NA NA 43 45 720 165.1 83.0
## 276 small 125 60 NA NA 30 36 720 157.5 44.9
## 277 large 136 70 NA NA 45 49 150 182.9 122.5
## 278 small 140 90 NA NA 31 39 330 152.4 62.6
## 279 large 142 98 142 96 50 60 690 160.0 129.3
## 280 medium 130 78 NA NA 38 42 720 172.7 81.6
## 281 large 150 81 NA NA 36 45 300 160.0 72.6
## 282 medium 131 75 NA NA 34 39 120 180.3 77.1
## 283 127 71 NA NA 43 47 600 154.9 83.9
## 284 medium 126 78 NA NA 36 40 795 177.8 73.9
## 285 medium 148 82 158 80 38 49 135 132.1 84.8
## 286 small 140 86 128 74 33 39 240 154.9 58.1
## 287 small 106 82 NA NA 36 44 10 157.5 69.4
## 288 medium 132 80 NA NA 31 39 480 157.5 56.7
## 289 small 110 68 NA NA 31 39 10 175.3 70.3
## 290 medium 220 100 202 98 45 54 375 162.6 101.2
## 291 medium 180 110 190 114 37 40 30 177.8 73.0
## 292 large 100 70 NA NA 41 44 30 170.2 98.0
## 293 medium 212 114 210 112 38 46 150 160.0 81.2
## 294 medium 134 74 NA NA 44 47 270 172.7 103.0
## 295 medium 162 88 150 80 38 39 570 175.3 72.1
## 296 small 122 62 NA NA 32 38 720 188.0 77.1
## 297 small 138 80 NA NA 32 38 30 167.6 62.6
## 298 small 112 78 NA NA 28 35 120 160.0 51.7
## 299 medium 128 90 138 90 48 53 330 162.6 108.4
## 300 medium 148 92 138 84 38 46 10 157.5 78.9
## 301 small 130 76 NA NA 35 46 5 165.1 85.3
## 302 small 110 64 NA NA 40 49 60 165.1 89.8
## 303 small 122 64 NA NA 31 39 90 162.6 51.7
## 304 medium 136 86 NA NA 41 52 105 172.7 102.1
## 305 medium 172 124 176 124 33 40 30 160.0 64.9
## 306 medium 138 78 NA NA 36 48 1260 170.2 66.2
## 307 small 122 86 NA NA 32 39 390 177.8 64.0
## 308 small 120 68 NA NA 33 40 420 165.1 68.5
## 309 medium 110 80 NA NA 49 58 15 162.6 112.5
## 310 small 138 76 NA NA 33 38 420 188.0 68.9
## 311 small 138 84 NA NA 32 40 270 152.4 59.0
## 312 medium 250 100 NA NA 41 46 60 157.5 74.8
## 313 medium 138 88 NA NA 39 40 45 177.8 81.6
## 314 medium 116 76 NA NA 34 39 180 180.3 73.9
## 315 large 150 92 130 86 37 42 390 167.6 81.2
## 316 medium 138 84 NA NA 36 42 150 154.9 70.8
## 317 small 110 64 NA NA 31 38 15 162.6 59.0
## 318 small 120 60 NA NA 40 47 300 NA 72.6
## 319 medium 130 75 NA NA 44 47 720 175.3 95.3
## 320 small 148 81 NA NA 31 37 240 185.4 74.4
## 321 small 135 88 NA NA 30 34 15 167.6 52.2
## 322 small 140 94 130 95 36 43 330 157.5 72.1
## 323 small 110 58 NA NA 33 38 120 182.9 64.0
## 324 small 145 72 142 70 35 39 30 175.3 76.7
## 325 large 142 81 NA NA 43 49 480 177.8 82.1
## 326 small 118 62 NA NA 35 41 180 182.9 81.6
## 327 medium 131 111 130 80 42 46 300 167.6 94.8
## 328 140 112 138 89 37 42 30 180.3 95.3
## 329 large 140 87 NA NA 53 56 240 157.5 107.5
## 330 small 140 70 NA NA 35 38 150 175.3 73.9
## 331 medium 130 75 NA NA 40 41 180 188.0 83.9
## 332 small 128 94 124 96 39 43 270 170.2 81.6
## 333 142 78 141 80 47 58 10 160.0 111.1
## 334 small 136 88 NA NA 33 39 300 177.8 68.0
## 335 medium 128 82 NA NA 37 43 240 162.6 66.2
## 336 medium 110 60 NA NA 34 37 20 172.7 65.8
## 337 medium 108 68 NA NA NA NA 330 157.5 64.4
## 338 medium 152 92 162 92 42 49 20 162.6 89.8
## 339 small 90 48 NA NA 35 38 240 162.6 67.1
## 340 medium 122 90 NA NA 43 46 150 165.1 90.7
## 341 large 140 75 NA NA 39 44 300 175.3 86.2
## 342 large 126 80 NA NA 38 46 540 160.0 82.6
## 343 small 130 82 NA NA 40 52 240 154.9 99.8
## 344 medium 135 100 170 98 39 47 150 162.6 81.2
## 345 small 122 74 NA NA 48 51 150 170.2 96.2
## 346 medium 135 80 NA NA 34 46 30 152.4 74.8
## 347 medium 162 108 158 110 47 55 60 167.6 116.6
## 348 large 140 72 NA NA 39 41 195 175.3 83.5
## 349 110 80 NA NA 41 45 90 180.3 83.0
## 350 large 172 110 168 108 41 45 180 170.2 98.9
## 351 medium 138 92 135 88 32 37 450 185.4 81.2
## 352 medium 142 90 142 92 42 54 225 162.6 103.4
## 353 large 130 100 170 114 48 51 75 175.3 131.1
## 354 small 140 98 142 102 36 40 195 175.3 69.4
## 355 large 178 100 170 96 47 52 210 170.2 106.6
## 356 medium 162 90 152 90 33 42 180 152.4 65.3
## 357 large 134 78 NA NA 43 46 195 165.1 83.0
## 358 small 124 94 110 74 35 38 330 170.2 69.9
## 359 large 142 96 142 98 43 45 285 175.3 98.0
## 360 small 120 80 NA NA 41 42 240 170.2 82.1
## 361 small 140 90 140 90 43 47 150 167.6 91.6
## 362 small 124 82 NA NA 37 45 15 162.6 72.6
## 363 medium 130 72 NA NA 36 41 60 149.9 55.8
## 364 small 100 50 NA NA 41 50 210 165.1 89.4
## 365 small 144 88 146 82 41 48 210 152.4 87.1
## 366 medium 110 72 NA NA 40 45 1440 170.2 84.8
## 367 medium 156 88 158 86 47 48 390 180.3 96.2
## 368 medium 148 98 130 100 40 42 900 175.3 84.4
## 369 small 160 100 160 100 44 41 1440 157.5 73.5
## 370 small 110 70 NA NA 33 38 90 162.6 54.4
## 371 small 122 80 NA NA 37 41 260 167.6 68.9
## 372 medium 140 100 136 100 44 53 240 147.3 95.3
## 373 medium 140 100 136 92 32 42 270 149.9 67.1
## 374 medium 140 100 138 82 34 46 270 147.3 77.1
## 375 small 125 80 NA NA 33 37 180 172.7 71.2
## 376 small 170 96 160 94 30 37 15 175.3 58.5
## 377 large 144 82 144 80 38 43 480 177.8 95.7
## 378 medium 124 84 NA NA 36 44 240 182.9 85.7
## 379 medium 170 110 166 108 30 33 780 177.8 54.4
## 380 medium 110 64 NA NA 32 34 300 160.0 54.9
## 381 120 98 122 100 32 41 60 142.2 54.4
## 382 large 142 79 NA NA 36 38 900 172.7 76.7
## 383 small 140 90 138 84 42 46 40 157.5 84.4
## 384 medium 130 94 130 88 42 48 450 177.8 118.8
## 385 medium 120 84 NA NA 40 44 1020 182.9 100.7
## 386 medium 128 82 NA NA 41 51 210 170.2 100.7
## 387 medium 140 96 148 100 37 47 60 157.5 81.2
## 388 large 174 90 174 84 48 50 180 172.7 101.6
## 389 small 118 78 NA NA 31 38 180 182.9 74.8
## 390 large 146 94 149 94 39 41 30 167.6 83.9
## 391 medium 144 94 142 92 34 42 480 157.5 66.7
## 392 medium 130 78 NA NA 39 45 60 157.5 80.3
## 393 large 110 70 NA NA 38 39 540 167.6 65.8
## 394 large 130 110 170 118 NA NA 60 165.1 66.2
## 395 medium 140 95 130 94 40 42 60 152.4 69.9
## 396 medium 190 94 172 100 33 39 480 167.6 61.7
## 397 medium 132 90 126 80 38 42 330 167.6 76.2
## 398 medium 218 90 238 90 31 41 210 154.9 52.2
## 399 medium 138 94 130 94 35 39 210 175.3 78.5
## 400 medium 140 100 146 102 32 43 180 160.0 69.9
## 401 small 120 70 NA NA 33 40 20 175.3 75.8
## 402 medium 120 78 NA NA 41 48 255 160.0 89.4
## 403 medium 100 72 NA NA 49 58 900 162.6 99.8
## waist_cm hip_cm BMI
## 1 73.7 96.5 22.13152
## 2 116.8 121.9 37.40720
## 3 124.5 144.8 48.38708
## 4 83.8 96.5 18.64123
## 5 111.8 104.1 27.82873
## 6 91.4 106.7 26.51648
## 7 116.8 124.5 28.18085
## 8 86.4 99.1 34.31240
## 9 86.4 101.6 24.50367
## 10 114.3 127.0 35.78125
## 11 99.1 114.3 25.97402
## 12 106.7 127.0 40.78850
## 13 88.9 104.1 33.19590
## 14 94.0 109.2 33.28881
## 15 91.4 101.6 27.00936
## 16 94.0 104.1 26.12076
## 17 94.0 109.2 30.44977
## 18 78.7 99.1 24.88950
## 19 76.2 86.4 21.63490
## 20 116.8 129.5 32.61427
## 21 106.7 104.1 27.85829
## 22 114.3 116.8 36.00520
## 23 121.9 139.7 42.49906
## 24 121.9 111.8 33.82212
## 25 83.8 96.5 21.38034
## 26 71.1 91.4 15.99287
## 27 109.2 119.4 38.32318
## 28 68.6 83.8 15.22198
## 29 78.7 96.5 26.52557
## 30 94.0 99.1 27.10924
## 31 94.0 101.6 28.94562
## 32 73.7 88.9 21.15654
## 33 99.1 104.1 24.50204
## 34 124.5 109.2 25.67516
## 35 81.3 86.4 19.04609
## 36 99.1 111.8 30.04654
## 37 78.7 88.9 25.66772
## 38 116.8 124.5 27.80069
## 39 78.7 91.4 20.24112
## 40 114.3 121.9 31.59769
## 41 88.9 101.6 25.84572
## 42 101.6 109.2 31.08088
## 43 101.6 106.7 30.06762
## 44 109.2 124.5 31.63384
## 45 101.6 101.6 27.63684
## 46 124.5 144.8 39.97918
## 47 106.7 106.7 25.82156
## 48 106.7 109.2 30.68899
## 49 101.6 111.8 29.93615
## 50 109.2 132.1 35.35096
## 51 94.0 104.1 25.64384
## 52 91.4 116.8 31.05289
## 53 109.2 119.4 35.34215
## 54 99.1 111.8 28.67003
## 55 129.5 137.2 42.96953
## 56 124.5 147.3 41.67604
## 57 96.5 104.1 27.35933
## 58 129.5 129.5 39.66742
## 59 109.2 119.4 34.54775
## 60 101.6 114.3 30.82974
## 61 106.7 121.9 32.42187
## 62 86.4 101.6 23.09188
## 63 109.2 121.9 33.72048
## 64 78.7 88.9 NA
## 65 88.9 99.1 23.66127
## 66 71.1 81.3 21.63490
## 67 71.1 88.9 25.03401
## 68 86.4 106.7 29.21875
## 69 78.7 83.8 19.29648
## 70 88.9 96.5 24.00599
## 71 104.1 99.1 29.86949
## 72 111.8 119.4 36.15349
## 73 94.0 101.6 27.61098
## 74 109.2 137.2 40.16725
## 75 78.7 88.9 17.74581
## 76 88.9 101.6 27.94311
## 77 94.0 114.3 33.45931
## 78 91.4 101.6 24.83168
## 79 116.8 127.0 31.13071
## 80 96.5 104.1 27.30469
## 81 104.1 106.7 28.88882
## 82 101.6 111.8 26.47746
## 83 96.5 104.1 26.38687
## 84 96.5 114.3 34.30569
## 85 94.0 101.6 27.42351
## 86 94.0 104.1 27.85829
## 87 106.7 134.6 NA
## 88 101.6 124.5 37.49055
## 89 94.0 106.7 27.61401
## 90 91.4 104.1 27.44772
## 91 86.4 101.6 25.71643
## 92 83.8 104.1 28.16406
## 93 73.7 76.2 20.79686
## 94 91.4 109.2 30.10868
## 95 88.9 111.8 28.96295
## 96 71.1 99.1 25.15625
## 97 73.7 99.1 28.08187
## 98 88.9 99.1 27.65625
## 99 101.6 127.0 36.61309
## 100 106.7 109.2 30.86160
## 101 106.7 116.8 35.42969
## 102 86.4 99.1 22.74644
## 103 106.7 129.5 38.38458
## 104 91.4 101.6 25.10144
## 105 91.4 99.1 28.34041
## 106 101.6 104.1 31.01395
## 107 104.1 106.7 31.31037
## 108 88.9 101.6 25.23363
## 109 99.1 104.1 23.66127
## 110 94.0 106.7 24.38882
## 111 99.1 111.8 30.43067
## 112 104.1 111.8 30.79001
## 113 78.7 96.5 22.12815
## 114 86.4 109.2 29.84255
## 115 81.3 96.5 22.50562
## 116 86.4 99.1 23.09942
## 117 99.1 121.9 40.74219
## 118 83.8 101.6 28.00781
## 119 129.5 162.6 37.73783
## 120 78.7 101.6 21.77919
## 121 81.3 88.9 17.20820
## 122 96.5 109.2 26.92623
## 123 78.7 99.1 23.04767
## 124 86.4 106.7 28.00781
## 125 81.3 101.6 19.97369
## 126 99.1 109.2 28.13852
## 127 111.8 127.0 39.10777
## 128 83.8 91.4 22.14844
## 129 121.9 129.5 43.24219
## 130 111.8 119.4 31.40757
## 131 94.0 101.6 24.01777
## 132 119.4 134.6 35.55643
## 133 101.6 109.2 27.45968
## 134 96.5 111.8 27.80834
## 135 134.6 157.5 55.75148
## 136 81.3 96.5 21.44531
## 137 86.4 96.5 19.38094
## 138 109.2 121.9 34.93505
## 139 124.5 114.3 37.12922
## 140 96.5 109.2 27.72020
## 141 83.8 116.8 30.11719
## 142 81.3 104.1 22.19593
## 143 78.7 83.8 19.54449
## 144 94.0 101.6 27.44772
## 145 83.8 96.5 23.64675
## 146 83.8 99.1 22.17909
## 147 73.7 83.8 18.00387
## 148 129.5 124.5 39.73069
## 149 99.1 104.1 29.26682
## 150 73.7 91.4 19.66973
## 151 142.2 124.5 44.66580
## 152 101.6 114.3 29.79088
## 153 94.0 109.2 26.30852
## 154 99.1 104.1 24.95925
## 155 116.8 137.2 38.59416
## 156 111.8 114.3 31.95275
## 157 88.9 99.1 19.49046
## 158 91.4 106.7 26.52557
## 159 101.6 114.3 30.84190
## 160 116.8 137.2 41.18939
## 161 132.1 147.3 45.46033
## 162 76.2 94.0 NA
## 163 91.4 109.2 27.11927
## 164 99.1 119.4 34.96220
## 165 76.2 91.4 21.10538
## 166 73.7 88.9 19.04609
## 167 91.4 99.1 25.41467
## 168 94.0 116.8 23.25694
## 169 99.1 109.2 28.00781
## 170 96.5 106.7 24.13969
## 171 71.1 94.0 21.09375
## 172 132.1 149.9 44.15211
## 173 96.5 101.6 25.25212
## 174 94.0 104.1 25.38229
## 175 83.8 99.1 22.96573
## 176 96.5 94.0 24.67041
## 177 96.5 114.3 30.50934
## 178 101.6 119.4 41.16598
## 179 116.8 111.8 34.71016
## 180 114.3 116.8 27.80834
## 181 114.3 116.8 30.50934
## 182 86.4 104.1 24.39286
## 183 83.8 114.3 27.44148
## 184 94.0 111.8 24.97840
## 185 111.8 106.7 30.10079
## 186 101.6 134.6 41.28906
## 187 94.0 109.2 29.31578
## 188 91.4 109.2 27.22399
## 189 104.1 119.4 35.27344
## 190 99.1 114.3 31.73371
## 191 81.3 96.5 23.02538
## 192 73.7 94.0 22.50562
## 193 94.0 101.6 27.62573
## 194 99.1 111.8 33.66087
## 195 94.0 109.2 24.75142
## 196 94.0 96.5 NA
## 197 86.4 96.5 22.30537
## 198 127.0 119.4 40.54858
## 199 111.8 121.9 37.80110
## 200 81.3 83.8 20.08677
## 201 76.2 94.0 20.19531
## 202 86.4 109.2 32.72572
## 203 114.3 121.9 31.95275
## 204 119.4 114.3 30.71248
## 205 83.8 86.4 18.12311
## 206 73.7 83.8 30.23147
## 207 83.8 96.5 23.42491
## 208 111.8 119.4 30.55682
## 209 94.0 109.2 27.22522
## 210 101.6 106.7 25.50781
## 211 73.7 88.9 19.19942
## 212 86.4 109.2 29.06250
## 213 114.3 116.8 33.45806
## 214 96.5 96.5 23.25694
## 215 76.2 88.9 22.95396
## 216 81.3 94.0 23.33695
## 217 66.0 83.8 19.18871
## 218 83.8 88.9 19.19942
## 219 81.3 96.5 21.95312
## 220 104.1 116.8 30.11719
## 221 78.7 101.6 24.50995
## 222 83.8 106.7 27.44148
## 223 96.5 104.1 29.89502
## 224 94.0 109.2 29.12905
## 225 99.1 119.4 34.00849
## 226 88.9 99.1 21.59241
## 227 86.4 104.1 27.79860
## 228 71.1 94.0 17.76448
## 229 101.6 109.2 30.10079
## 230 96.5 116.8 32.07031
## 231 94.0 104.1 26.82454
## 232 96.5 111.8 NA
## 233 94.0 106.7 25.97046
## 234 88.9 94.0 21.92071
## 235 116.8 124.5 31.48297
## 236 96.5 106.7 29.80692
## 237 81.3 101.6 27.10937
## 238 96.5 99.1 25.85054
## 239 101.6 104.1 30.36694
## 240 114.3 121.9 36.13706
## 241 121.9 124.5 35.12452
## 242 104.1 119.4 32.28935
## 243 88.9 99.1 22.60976
## 244 83.8 101.6 25.79995
## 245 91.4 99.1 27.82873
## 246 76.2 111.8 25.06210
## 247 73.7 101.6 19.95744
## 248 81.3 88.9 24.13969
## 249 96.5 111.8 29.84255
## 250 114.3 147.3 44.64844
## 251 83.8 101.6 26.35005
## 252 83.8 104.1 27.46094
## 253 101.6 106.7 31.71875
## 254 101.6 114.3 29.43883
## 255 78.7 94.0 21.04308
## 256 104.1 119.4 30.68734
## 257 139.7 157.5 51.36719
## 258 91.4 99.1 23.44032
## 259 119.4 132.1 41.18939
## 260 94.0 104.1 30.26350
## 261 106.7 119.4 34.30002
## 262 109.2 129.5 33.89890
## 263 99.1 96.5 24.50367
## 264 88.9 106.7 30.11719
## 265 106.7 99.1 26.87919
## 266 86.4 111.8 31.17187
## 267 86.4 106.7 24.88770
## 268 101.6 101.6 27.76813
## 269 127.0 124.5 38.63654
## 270 91.4 119.4 24.66638
## 271 99.1 104.1 30.26350
## 272 96.5 101.6 28.65227
## 273 66.0 94.0 20.47105
## 274 78.7 91.4 22.69531
## 275 109.2 114.3 30.44977
## 276 76.2 91.4 18.10028
## 277 114.3 124.5 36.61919
## 278 78.7 99.1 26.95283
## 279 127.0 152.4 50.50781
## 280 96.5 106.7 27.35933
## 281 91.4 114.3 28.35937
## 282 86.4 99.1 23.71717
## 283 109.2 119.4 34.96706
## 284 91.4 101.6 23.37658
## 285 96.5 124.5 48.59485
## 286 83.8 99.1 24.21438
## 287 91.4 111.8 27.97682
## 288 78.7 99.1 22.85714
## 289 78.7 99.1 22.87660
## 290 114.3 137.2 38.27714
## 291 94.0 101.6 23.09188
## 292 104.1 111.8 33.83039
## 293 96.5 116.8 31.71875
## 294 111.8 119.4 34.53445
## 295 96.5 99.1 23.46235
## 296 81.3 96.5 21.81417
## 297 81.3 96.5 22.28570
## 298 71.1 88.9 20.19531
## 299 121.9 134.6 41.00041
## 300 96.5 116.8 31.80650
## 301 88.9 116.8 31.29355
## 302 101.6 124.5 32.94444
## 303 78.7 99.1 19.55462
## 304 104.1 132.1 34.23269
## 305 83.8 101.6 25.35156
## 306 91.4 121.9 22.85277
## 307 81.3 99.1 20.24494
## 308 83.8 101.6 25.13023
## 309 124.5 147.3 42.55116
## 310 83.8 96.5 19.49411
## 311 81.3 101.6 25.40283
## 312 104.1 116.8 30.15369
## 313 99.1 101.6 25.81230
## 314 86.4 99.1 22.73280
## 315 94.0 106.7 28.90733
## 316 91.4 106.7 29.50736
## 317 78.7 96.5 22.31572
## 318 101.6 119.4 NA
## 319 111.8 119.4 31.01195
## 320 78.7 94.0 21.64479
## 321 76.2 86.4 18.58328
## 322 91.4 109.2 29.06526
## 323 83.8 96.5 19.13166
## 324 88.9 99.1 24.95925
## 325 109.2 124.5 25.97046
## 326 88.9 104.1 24.39286
## 327 106.7 116.8 33.74895
## 328 94.0 106.7 29.31578
## 329 134.6 142.2 43.33585
## 330 88.9 96.5 24.04809
## 331 101.6 104.1 23.73812
## 332 99.1 109.2 28.16898
## 333 119.4 147.3 43.39844
## 334 83.8 99.1 21.51025
## 335 94.0 109.2 25.03900
## 336 86.4 94.0 22.06181
## 337 NA NA 25.96120
## 338 106.7 124.5 33.96528
## 339 88.9 96.5 25.37941
## 340 109.2 116.8 33.27462
## 341 99.1 111.8 28.05068
## 342 96.5 116.8 32.26562
## 343 101.6 132.1 41.59371
## 344 99.1 119.4 30.71248
## 345 121.9 129.5 33.20901
## 346 86.4 116.8 32.20562
## 347 119.4 139.7 41.50979
## 348 99.1 104.1 27.17206
## 349 104.1 114.3 25.53211
## 350 104.1 114.3 34.14107
## 351 81.3 94.0 23.62308
## 352 106.7 137.2 39.10925
## 353 121.9 129.5 42.66177
## 354 91.4 101.6 22.58373
## 355 119.4 132.1 36.79918
## 356 83.8 106.7 28.11533
## 357 109.2 116.8 30.44977
## 358 88.9 96.5 24.13004
## 359 109.2 114.3 31.89057
## 360 104.1 106.7 28.34158
## 361 109.2 119.4 32.60975
## 362 94.0 114.3 27.45968
## 363 91.4 104.1 24.83310
## 364 104.1 127.0 32.79770
## 365 104.1 121.9 37.50146
## 366 101.6 114.3 29.27364
## 367 119.4 121.9 29.59263
## 368 101.6 106.7 27.46494
## 369 111.8 104.1 29.62963
## 370 83.8 96.5 20.57585
## 371 94.0 104.1 24.52851
## 372 111.8 134.6 43.92254
## 373 81.3 106.7 29.86202
## 374 86.4 116.8 35.53439
## 375 83.8 94.0 23.87236
## 376 76.2 94.0 19.03672
## 377 96.5 109.2 30.27251
## 378 91.4 111.8 25.61848
## 379 76.2 83.8 17.20820
## 380 81.3 86.4 21.44531
## 381 81.3 104.1 26.90294
## 382 91.4 96.5 25.71643
## 383 106.7 116.8 34.02368
## 384 106.7 121.9 37.57967
## 385 101.6 111.8 30.10246
## 386 104.1 129.5 34.76245
## 387 94.0 119.4 32.73369
## 388 121.9 127.0 34.06505
## 389 78.7 96.5 22.36012
## 390 99.1 104.1 29.86854
## 391 86.4 106.7 26.88838
## 392 99.1 114.3 32.37087
## 393 96.5 99.1 23.42491
## 394 NA NA 24.28644
## 395 101.6 106.7 30.09589
## 396 83.8 99.1 21.96530
## 397 96.5 106.7 27.12732
## 398 78.7 104.1 21.75543
## 399 88.9 99.1 25.54500
## 400 81.3 109.2 27.30469
## 401 83.8 101.6 24.66638
## 402 104.1 121.9 34.92187
## 403 124.5 147.3 37.74761T5: Create a BMI_class variable
diabetes_3<- diabetes_2 %>%
mutate(BMI_class = case_when(
BMI < 18.5 ~ "Underweight",
BMI >= 18.5 & BMI < 25 ~ "Normal weight",
BMI >= 25 & BMI < 30 ~ "Overweight",
BMI >= 30 ~ "Obese"
))
diabetes_3## id chol stab.glu hdl ratio glyhb location age gender height weight
## 1 1000 203 82 56 3.6 4.31 Buckingham 46 female 62 121
## 2 1001 165 97 24 6.9 4.44 Buckingham 29 female 64 218
## 3 1002 228 92 37 6.2 4.64 Buckingham 58 female 61 256
## 4 1003 78 93 12 6.5 4.63 Buckingham 67 male 67 119
## 5 1005 249 90 28 8.9 7.72 Buckingham 64 male 68 183
## 6 1008 248 94 69 3.6 4.81 Buckingham 34 male 71 190
## 7 1011 195 92 41 4.8 4.84 Buckingham 30 male 69 191
## 8 1015 227 75 44 5.2 3.94 Buckingham 37 male 59 170
## 9 1016 177 87 49 3.6 4.84 Buckingham 45 male 69 166
## 10 1022 263 89 40 6.6 5.78 Buckingham 55 female 63 202
## 11 1024 242 82 54 4.5 4.77 Louisa 60 female 65 156
## 12 1029 215 128 34 6.3 4.97 Louisa 38 female 58 195
## 13 1030 238 75 36 6.6 4.47 Louisa 27 female 60 170
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## 403 41756 159 88 79 2.0 NA Louisa 68 female 64 220
## frame bp.1s bp.1d bp.2s bp.2d waist hip time.ppn height_cm weight_kg
## 1 medium 118 59 NA NA 29 38 720 157.5 54.9
## 2 large 112 68 NA NA 46 48 360 162.6 98.9
## 3 large 190 92 185 92 49 57 180 154.9 116.1
## 4 large 110 50 NA NA 33 38 480 170.2 54.0
## 5 medium 138 80 NA NA 44 41 300 172.7 83.0
## 6 large 132 86 NA NA 36 42 195 180.3 86.2
## 7 medium 161 112 161 112 46 49 720 175.3 86.6
## 8 medium NA NA NA NA 34 39 1020 149.9 77.1
## 9 large 160 80 128 86 34 40 300 175.3 75.3
## 10 small 108 72 NA NA 45 50 240 160.0 91.6
## 11 medium 130 90 130 90 39 45 300 165.1 70.8
## 12 medium 102 68 NA NA 42 50 90 147.3 88.5
## 13 medium 130 80 NA NA 35 41 720 152.4 77.1
## 14 medium NA NA NA NA 37 43 60 149.9 74.8
## 15 medium 100 66 NA NA 36 40 225 175.3 83.0
## 16 medium 130 90 120 96 37 41 240 165.1 71.2
## 17 medium 130 100 NA NA 37 43 180 165.1 83.0
## 18 medium 100 90 NA NA 31 39 1440 170.2 72.1
## 19 medium 110 76 NA NA 30 34 120 162.6 57.2
## 20 large 178 90 NA NA 46 51 540 165.1 88.9
## 21 large 148 88 148 84 42 41 1020 170.2 80.7
## 22 large 137 100 149 110 45 46 480 170.2 104.3
## 23 large 136 83 NA NA 48 55 240 175.3 130.6
## 24 large 158 88 160 88 48 44 285 157.5 83.9
## 25 medium 100 70 110 70 33 38 210 154.9 51.3
## 26 small 144 112 NA NA 28 36 780 182.9 53.5
## 27 large 140 95 NA NA 43 47 420 172.7 114.3
## 28 small 120 85 NA NA 27 33 510 172.7 45.4
## 29 medium 125 70 NA NA 31 38 720 157.5 65.8
## 30 medium 180 122 170 112 37 39 450 177.8 85.7
## 31 medium 146 94 139 89 37 40 540 165.1 78.9
## 32 large 130 90 NA NA 29 35 780 172.7 63.1
## 33 medium 170 88 168 80 39 41 225 188.0 86.6
## 34 medium 176 86 180 90 49 43 330 175.3 78.9
## 35 medium 120 78 NA NA 32 34 720 167.6 53.5
## 36 medium 140 97 NA NA 39 44 780 167.6 84.4
## 37 medium 115 64 NA NA 31 35 720 167.6 72.1
## 38 medium NA NA NA NA 46 49 240 182.9 93.0
## 39 medium 124 64 NA NA 31 36 30 180.3 65.8
## 40 large 158 90 160 96 45 48 840 175.3 97.1
## 41 large 105 85 NA NA 35 40 720 167.6 72.6
## 42 medium 142 79 NA NA 40 43 720 157.5 77.1
## 43 large 149 89 136 88 40 42 30 170.2 87.1
## 44 large 124 80 NA NA 43 49 300 190.5 114.8
## 45 large 130 60 NA NA 40 40 90 149.9 62.1
## 46 medium 110 82 NA NA 49 57 90 162.6 105.7
## 47 medium 140 65 NA NA 42 42 150 170.2 74.8
## 48 medium 110 68 NA NA 42 43 450 170.2 88.9
## 49 medium 106 82 NA NA 40 44 780 165.1 81.6
## 50 medium 150 82 142 78 43 52 360 167.6 99.3
## 51 158 78 140 84 37 41 120 165.1 69.9
## 52 medium 104 90 NA NA 36 46 240 162.6 82.1
## 53 large 158 94 149 96 43 47 360 154.9 84.8
## 54 large 124 86 NA NA 39 44 270 162.6 75.8
## 55 medium 126 80 NA NA 51 54 780 152.4 99.8
## 56 small 165 110 153 100 49 58 60 172.7 124.3
## 57 large 141 81 NA NA 38 41 540 172.7 81.6
## 58 large 160 82 NA NA 51 51 180 157.5 98.4
## 59 large 130 90 NA NA 43 47 195 157.5 85.7
## 60 large 138 79 NA NA 40 45 720 167.6 86.6
## 61 large 159 99 160 103 42 48 300 160.0 83.0
## 62 medium 130 79 NA NA 34 40 720 177.8 73.0
## 63 medium 158 98 148 88 43 48 420 177.8 106.6
## 64 NA NA NA NA 31 35 120 NA 56.7
## 65 medium 121 71 NA NA 35 39 720 177.8 74.8
## 66 small 120 90 NA NA 28 32 180 162.6 57.2
## 67 medium 120 70 NA NA 28 35 960 157.5 62.1
## 68 medium 150 80 145 80 34 42 960 160.0 74.8
## 69 medium 160 60 160 60 31 33 1020 154.9 46.3
## 70 170 82 NA NA 35 38 120 154.9 57.6
## 71 medium 138 94 140 80 41 39 240 180.3 97.1
## 72 large 126 75 NA NA 44 47 420 175.3 111.1
## 73 medium 108 70 NA NA 37 40 120 162.6 73.0
## 74 medium 142 98 130 92 43 54 240 172.7 119.8
## 75 small 140 90 NA NA 31 35 300 190.5 64.4
## 76 large 156 78 144 76 35 40 1200 152.4 64.9
## 77 medium 130 86 NA NA 37 45 180 157.5 83.0
## 78 large 178 120 182 110 36 40 240 177.8 78.5
## 79 medium 120 75 NA NA 46 50 210 180.3 101.2
## 80 large 174 75 NA NA 38 41 180 160.0 69.9
## 81 medium 145 100 NA NA 41 42 270 185.4 99.3
## 82 small 138 78 NA NA 40 44 10 170.2 76.7
## 83 small 120 76 NA NA 38 41 210 185.4 90.7
## 84 medium 136 52 NA NA 38 45 60 162.6 90.7
## 85 medium 147 72 NA NA 37 40 420 154.9 65.8
## 86 large 119 68 NA NA 37 41 780 170.2 80.7
## 87 large 139 69 NA NA 42 53 720 NA 97.5
## 88 medium 120 80 NA NA 40 49 840 157.5 93.0
## 89 medium 125 64 NA NA 37 42 660 157.5 68.5
## 90 large 121 62 NA NA 36 41 420 167.6 77.1
## 91 large 138 79 NA NA 34 40 690 172.7 76.7
## 92 medium 151 85 148 79 33 41 1140 160.0 72.1
## 93 small 103 64 NA NA 29 30 120 154.9 49.9
## 94 large 119 72 NA NA 36 43 60 172.7 89.8
## 95 medium 110 90 NA NA 35 44 10 170.2 83.9
## 96 medium 125 85 117 68 28 39 900 160.0 64.4
## 97 medium 112 72 NA NA 29 39 1560 149.9 63.1
## 98 medium 142 102 156 106 35 39 120 160.0 70.8
## 99 large 160 92 150 98 40 50 20 165.1 99.8
## 100 medium 160 80 158 80 42 43 390 170.2 89.4
## 101 large 111 65 NA NA 42 46 780 160.0 90.7
## 102 large 136 96 130 94 34 39 600 175.3 69.9
## 103 large 136 84 NA NA 42 51 10 154.9 92.1
## 104 medium 136 90 126 84 36 40 45 180.3 81.6
## 105 small 115 68 NA NA 36 39 780 154.9 68.0
## 106 medium 130 90 NA NA 40 41 60 172.7 92.5
## 107 medium 110 90 NA NA 41 42 240 170.2 90.7
## 108 medium 150 90 156 88 35 40 300 149.9 56.7
## 109 170 90 170 100 39 41 240 177.8 74.8
## 110 large 130 73 NA NA 37 42 720 177.8 77.1
## 111 132 90 NA NA 39 44 NA 177.8 96.2
## 112 large 158 104 158 108 41 44 330 182.9 103.0
## 113 small 138 82 NA NA 31 38 60 175.3 68.0
## 114 medium 160 96 162 96 34 43 30 162.6 78.9
## 115 small 118 70 NA NA 32 38 300 154.9 54.0
## 116 medium 131 88 NA NA 34 39 30 185.4 79.4
## 117 large 141 99 NA NA 39 48 30 160.0 104.3
## 118 medium 139 79 NA NA 33 40 720 160.0 71.7
## 119 large 159 99 150 89 51 64 210 177.8 119.3
## 120 small 150 80 NA NA 31 40 120 180.3 70.8
## 121 small 150 105 150 100 32 35 120 177.8 54.4
## 122 small 150 102 150 100 38 43 300 170.2 78.0
## 123 medium 138 82 NA NA 31 39 1170 182.9 77.1
## 124 medium 160 68 158 74 34 42 240 160.0 71.7
## 125 small 124 78 NA NA 32 40 720 193.0 74.4
## 126 large 112 62 NA NA 39 43 180 165.1 76.7
## 127 medium 110 80 NA NA 44 50 10 165.1 106.6
## 128 medium 110 76 NA NA 33 36 240 160.0 56.7
## 129 large 170 92 NA NA 48 51 660 160.0 110.7
## 130 large 130 66 NA NA 44 47 180 180.3 102.1
## 131 small 180 110 210 110 37 40 225 162.6 63.5
## 132 medium 122 70 NA NA 47 53 140 170.2 103.0
## 133 small 130 88 NA NA 40 43 60 162.6 72.6
## 134 medium 132 72 NA NA 38 44 30 165.1 75.8
## 135 large 141 79 NA NA 53 62 60 162.6 147.4
## 136 small 111 62 NA NA 32 38 855 160.0 54.9
## 137 small 140 75 NA NA 34 38 90 188.0 68.5
## 138 medium 136 83 NA NA 43 48 960 170.2 101.2
## 139 large 150 98 NA NA 49 45 90 180.3 120.7
## 140 medium 162 78 156 82 38 43 315 170.2 80.3
## 141 medium 110 68 NA NA 33 46 210 160.0 77.1
## 142 small 145 95 NA NA 32 41 600 172.7 66.2
## 143 small 104 64 NA NA 31 33 30 167.6 54.9
## 144 medium 146 92 168 98 37 40 120 167.6 77.1
## 145 small 130 90 NA NA 33 38 1320 170.2 68.5
## 146 small 125 72 NA NA 33 39 750 180.3 72.1
## 147 medium 125 82 NA NA 29 33 60 162.6 47.6
## 148 large 140 86 NA NA 51 49 900 177.8 125.6
## 149 medium 126 90 NA NA 39 41 390 157.5 72.6
## 150 small 108 78 NA NA 29 36 1080 182.9 65.8
## 151 large 140 86 NA NA 56 49 30 180.3 145.2
## 152 large 135 88 NA NA 40 45 720 157.5 73.9
## 153 179 89 172 91 37 43 60 167.6 73.9
## 154 medium 139 90 136 86 39 41 720 175.3 76.7
## 155 large 120 86 NA NA 46 54 900 165.1 105.2
## 156 large 151 87 NA NA 44 45 15 172.7 95.3
## 157 large 150 80 NA NA 35 39 270 193.0 72.6
## 158 small 110 72 NA NA 36 42 720 157.5 65.8
## 159 large 138 89 137 79 40 45 720 177.8 97.5
## 160 medium 140 98 NA NA 46 54 210 167.6 115.7
## 161 large 110 90 NA NA 52 58 300 175.3 139.7
## 162 medium 125 69 NA NA 30 37 10 175.3 NA
## 163 medium 146 76 NA NA 36 43 10 162.6 71.7
## 164 medium 150 106 160 116 39 47 60 165.1 95.3
## 165 small 140 76 NA NA 30 36 300 162.6 55.8
## 166 small 98 66 NA NA 29 35 150 167.6 53.5
## 167 large 161 118 151 111 36 39 60 172.7 75.8
## 168 medium 125 90 NA NA 37 46 60 190.5 84.4
## 169 small 138 88 NA NA 39 43 180 160.0 71.7
## 170 small 230 120 235 120 38 42 60 165.1 65.8
## 171 small 122 86 NA NA 28 37 270 160.0 54.0
## 172 medium 142 78 136 84 52 59 420 170.2 127.9
## 173 large 136 86 NA NA 38 40 240 175.3 77.6
## 174 large 138 66 NA NA 37 41 210 175.3 78.0
## 175 small 132 80 NA NA 33 39 990 165.1 62.6
## 176 medium 148 76 148 78 38 37 90 185.4 84.8
## 177 medium 140 90 NA NA 38 45 90 167.6 85.7
## 178 small 118 69 NA NA 40 47 780 149.9 92.5
## 179 large 186 102 190 110 46 44 360 167.6 97.5
## 180 large 140 72 NA NA 45 46 480 165.1 75.8
## 181 medium 200 94 208 90 45 46 195 167.6 85.7
## 182 small 110 78 NA NA 34 41 60 182.9 81.6
## 183 small 118 68 NA NA 33 45 150 165.1 74.8
## 184 medium 146 98 136 96 37 44 30 180.3 81.2
## 185 large 136 90 NA NA 44 42 120 175.3 92.5
## 186 large 140 90 136 86 40 53 45 160.0 105.7
## 187 medium 142 92 148 98 37 43 90 180.3 95.3
## 188 medium 136 96 130 98 36 43 630 180.3 88.5
## 189 medium 180 96 176 94 41 47 720 160.0 90.3
## 190 medium 110 80 NA NA 39 45 300 162.6 83.9
## 191 medium 140 102 148 102 32 38 80 170.2 66.7
## 192 small 142 96 140 86 29 37 135 154.9 54.0
## 193 medium 132 82 NA NA 37 40 210 167.6 77.6
## 194 small 104 80 NA NA 39 44 10 157.5 83.5
## 195 small 138 82 NA NA 37 43 90 170.2 71.7
## 196 small 122 76 NA NA 37 38 360 NA 59.0
## 197 small 142 70 NA NA 34 38 240 165.1 60.8
## 198 large 118 72 NA NA 50 47 720 167.6 113.9
## 199 medium 190 110 170 90 44 48 720 154.9 90.7
## 200 medium 118 86 NA NA 32 33 120 177.8 63.5
## 201 small 180 105 165 105 30 37 15 160.0 51.7
## 202 medium 140 80 NA NA 34 43 780 170.2 94.8
## 203 large 160 78 158 84 45 48 60 172.7 95.3
## 204 medium 142 80 142 90 47 45 30 162.6 81.2
## 205 small 170 88 180 100 33 34 435 165.1 49.4
## 206 small 199 115 190 99 29 33 120 139.7 59.0
## 207 medium 131 79 NA NA 33 38 150 167.6 65.8
## 208 medium 190 118 NA NA 44 47 120 157.5 75.8
## 209 small 110 76 NA NA 37 43 60 172.7 81.2
## 210 medium 190 100 170 86 40 42 120 160.0 65.3
## 211 small 135 75 NA NA 29 35 720 175.3 59.0
## 212 medium 120 80 NA NA 34 43 60 160.0 74.4
## 213 medium 178 88 160 82 45 46 180 165.1 91.2
## 214 medium 122 74 NA NA 38 38 180 190.5 84.4
## 215 small 110 76 NA NA 30 35 180 185.4 78.9
## 216 small NA NA NA NA 32 37 NA 162.6 61.7
## 217 small 125 64 NA NA 26 33 720 157.5 47.6
## 218 small 137 74 NA NA 33 35 720 175.3 59.0
## 219 medium 130 70 NA NA 32 38 60 160.0 56.2
## 220 medium 180 86 NA NA 41 46 720 160.0 77.1
## 221 small 130 70 NA NA 31 40 90 157.5 60.8
## 222 small 102 56 NA NA 33 42 720 165.1 74.8
## 223 large 130 73 NA NA 38 41 240 170.2 86.6
## 224 medium 152 100 140 100 37 43 60 165.1 79.4
## 225 170 90 150 100 39 47 240 154.9 81.6
## 226 medium 118 78 NA NA 35 39 120 172.7 64.4
## 227 large 160 66 150 80 34 41 720 154.9 66.7
## 228 small 150 110 150 90 28 37 270 167.6 49.9
## 229 large 165 115 160 96 40 43 720 175.3 92.5
## 230 medium 142 100 144 110 38 46 210 160.0 82.1
## 231 medium 132 86 NA NA 37 41 210 177.8 84.8
## 232 large 140 75 NA NA 38 44 720 NA 86.2
## 233 large 184 76 180 84 37 42 60 177.8 82.1
## 234 medium 176 110 150 102 35 37 60 170.2 63.5
## 235 large 150 74 146 76 46 49 30 170.2 91.2
## 236 medium 170 96 178 96 38 42 90 172.7 88.9
## 237 medium 130 80 NA NA 32 40 15 160.0 69.4
## 238 small 122 68 NA NA 38 39 300 172.7 77.1
## 239 large 116 53 NA NA 40 41 180 167.6 85.3
## 240 large 158 98 159 80 45 48 180 149.9 81.2
## 241 large 122 90 NA NA 48 49 720 182.9 117.5
## 242 medium 140 65 NA NA 41 47 180 167.6 90.7
## 243 medium 123 82 NA NA 35 39 900 180.3 73.5
## 244 large 118 78 NA NA 33 40 720 157.5 64.0
## 245 medium 131 75 NA NA 36 39 20 172.7 83.0
## 246 medium 108 58 NA NA 30 44 240 170.2 72.6
## 247 small 136 86 NA NA 29 40 240 165.1 54.4
## 248 small 121 75 NA NA 32 35 60 165.1 65.8
## 249 large 162 75 NA NA 38 44 300 162.6 78.9
## 250 medium 100 72 NA NA 45 58 180 160.0 114.3
## 251 medium 108 58 NA NA 33 40 240 152.4 61.2
## 252 small 150 78 NA NA 33 41 900 160.0 70.3
## 253 medium 120 75 NA NA 40 42 720 160.0 81.2
## 254 large 100 60 NA NA 40 45 540 180.3 95.7
## 255 small 105 82 NA NA 31 37 720 157.5 52.2
## 256 medium 125 70 NA NA 41 47 720 167.6 86.2
## 257 large 175 80 152 102 55 62 300 160.0 131.5
## 258 medium 140 89 NA NA 36 39 720 180.3 76.2
## 259 large 118 66 NA NA 47 52 360 167.6 115.7
## 260 medium 150 99 130 80 37 41 360 175.3 93.0
## 261 medium 150 98 142 90 42 47 60 185.4 117.9
## 262 medium 142 79 NA NA 43 51 120 182.9 113.4
## 263 large 106 82 NA NA 39 38 420 175.3 75.3
## 264 medium 130 82 NA NA 35 42 240 160.0 77.1
## 265 large 140 65 NA NA 42 39 270 175.3 82.6
## 266 large 140 70 NA NA 34 44 60 160.0 79.8
## 267 medium 108 76 NA NA 34 42 90 162.6 65.8
## 268 large 130 82 NA NA 40 40 60 167.6 78.0
## 269 large 150 99 150 85 50 49 840 180.3 125.6
## 270 medium 138 90 NA NA 36 47 90 175.3 75.8
## 271 small 130 96 130 90 39 41 480 175.3 93.0
## 272 medium 122 96 126 96 38 40 NA 170.2 83.0
## 273 small 118 61 NA NA 26 37 240 165.1 55.8
## 274 small 121 75 NA NA 31 36 720 160.0 58.1
## 275 medium 120 80 NA NA 43 45 720 165.1 83.0
## 276 small 125 60 NA NA 30 36 720 157.5 44.9
## 277 large 136 70 NA NA 45 49 150 182.9 122.5
## 278 small 140 90 NA NA 31 39 330 152.4 62.6
## 279 large 142 98 142 96 50 60 690 160.0 129.3
## 280 medium 130 78 NA NA 38 42 720 172.7 81.6
## 281 large 150 81 NA NA 36 45 300 160.0 72.6
## 282 medium 131 75 NA NA 34 39 120 180.3 77.1
## 283 127 71 NA NA 43 47 600 154.9 83.9
## 284 medium 126 78 NA NA 36 40 795 177.8 73.9
## 285 medium 148 82 158 80 38 49 135 132.1 84.8
## 286 small 140 86 128 74 33 39 240 154.9 58.1
## 287 small 106 82 NA NA 36 44 10 157.5 69.4
## 288 medium 132 80 NA NA 31 39 480 157.5 56.7
## 289 small 110 68 NA NA 31 39 10 175.3 70.3
## 290 medium 220 100 202 98 45 54 375 162.6 101.2
## 291 medium 180 110 190 114 37 40 30 177.8 73.0
## 292 large 100 70 NA NA 41 44 30 170.2 98.0
## 293 medium 212 114 210 112 38 46 150 160.0 81.2
## 294 medium 134 74 NA NA 44 47 270 172.7 103.0
## 295 medium 162 88 150 80 38 39 570 175.3 72.1
## 296 small 122 62 NA NA 32 38 720 188.0 77.1
## 297 small 138 80 NA NA 32 38 30 167.6 62.6
## 298 small 112 78 NA NA 28 35 120 160.0 51.7
## 299 medium 128 90 138 90 48 53 330 162.6 108.4
## 300 medium 148 92 138 84 38 46 10 157.5 78.9
## 301 small 130 76 NA NA 35 46 5 165.1 85.3
## 302 small 110 64 NA NA 40 49 60 165.1 89.8
## 303 small 122 64 NA NA 31 39 90 162.6 51.7
## 304 medium 136 86 NA NA 41 52 105 172.7 102.1
## 305 medium 172 124 176 124 33 40 30 160.0 64.9
## 306 medium 138 78 NA NA 36 48 1260 170.2 66.2
## 307 small 122 86 NA NA 32 39 390 177.8 64.0
## 308 small 120 68 NA NA 33 40 420 165.1 68.5
## 309 medium 110 80 NA NA 49 58 15 162.6 112.5
## 310 small 138 76 NA NA 33 38 420 188.0 68.9
## 311 small 138 84 NA NA 32 40 270 152.4 59.0
## 312 medium 250 100 NA NA 41 46 60 157.5 74.8
## 313 medium 138 88 NA NA 39 40 45 177.8 81.6
## 314 medium 116 76 NA NA 34 39 180 180.3 73.9
## 315 large 150 92 130 86 37 42 390 167.6 81.2
## 316 medium 138 84 NA NA 36 42 150 154.9 70.8
## 317 small 110 64 NA NA 31 38 15 162.6 59.0
## 318 small 120 60 NA NA 40 47 300 NA 72.6
## 319 medium 130 75 NA NA 44 47 720 175.3 95.3
## 320 small 148 81 NA NA 31 37 240 185.4 74.4
## 321 small 135 88 NA NA 30 34 15 167.6 52.2
## 322 small 140 94 130 95 36 43 330 157.5 72.1
## 323 small 110 58 NA NA 33 38 120 182.9 64.0
## 324 small 145 72 142 70 35 39 30 175.3 76.7
## 325 large 142 81 NA NA 43 49 480 177.8 82.1
## 326 small 118 62 NA NA 35 41 180 182.9 81.6
## 327 medium 131 111 130 80 42 46 300 167.6 94.8
## 328 140 112 138 89 37 42 30 180.3 95.3
## 329 large 140 87 NA NA 53 56 240 157.5 107.5
## 330 small 140 70 NA NA 35 38 150 175.3 73.9
## 331 medium 130 75 NA NA 40 41 180 188.0 83.9
## 332 small 128 94 124 96 39 43 270 170.2 81.6
## 333 142 78 141 80 47 58 10 160.0 111.1
## 334 small 136 88 NA NA 33 39 300 177.8 68.0
## 335 medium 128 82 NA NA 37 43 240 162.6 66.2
## 336 medium 110 60 NA NA 34 37 20 172.7 65.8
## 337 medium 108 68 NA NA NA NA 330 157.5 64.4
## 338 medium 152 92 162 92 42 49 20 162.6 89.8
## 339 small 90 48 NA NA 35 38 240 162.6 67.1
## 340 medium 122 90 NA NA 43 46 150 165.1 90.7
## 341 large 140 75 NA NA 39 44 300 175.3 86.2
## 342 large 126 80 NA NA 38 46 540 160.0 82.6
## 343 small 130 82 NA NA 40 52 240 154.9 99.8
## 344 medium 135 100 170 98 39 47 150 162.6 81.2
## 345 small 122 74 NA NA 48 51 150 170.2 96.2
## 346 medium 135 80 NA NA 34 46 30 152.4 74.8
## 347 medium 162 108 158 110 47 55 60 167.6 116.6
## 348 large 140 72 NA NA 39 41 195 175.3 83.5
## 349 110 80 NA NA 41 45 90 180.3 83.0
## 350 large 172 110 168 108 41 45 180 170.2 98.9
## 351 medium 138 92 135 88 32 37 450 185.4 81.2
## 352 medium 142 90 142 92 42 54 225 162.6 103.4
## 353 large 130 100 170 114 48 51 75 175.3 131.1
## 354 small 140 98 142 102 36 40 195 175.3 69.4
## 355 large 178 100 170 96 47 52 210 170.2 106.6
## 356 medium 162 90 152 90 33 42 180 152.4 65.3
## 357 large 134 78 NA NA 43 46 195 165.1 83.0
## 358 small 124 94 110 74 35 38 330 170.2 69.9
## 359 large 142 96 142 98 43 45 285 175.3 98.0
## 360 small 120 80 NA NA 41 42 240 170.2 82.1
## 361 small 140 90 140 90 43 47 150 167.6 91.6
## 362 small 124 82 NA NA 37 45 15 162.6 72.6
## 363 medium 130 72 NA NA 36 41 60 149.9 55.8
## 364 small 100 50 NA NA 41 50 210 165.1 89.4
## 365 small 144 88 146 82 41 48 210 152.4 87.1
## 366 medium 110 72 NA NA 40 45 1440 170.2 84.8
## 367 medium 156 88 158 86 47 48 390 180.3 96.2
## 368 medium 148 98 130 100 40 42 900 175.3 84.4
## 369 small 160 100 160 100 44 41 1440 157.5 73.5
## 370 small 110 70 NA NA 33 38 90 162.6 54.4
## 371 small 122 80 NA NA 37 41 260 167.6 68.9
## 372 medium 140 100 136 100 44 53 240 147.3 95.3
## 373 medium 140 100 136 92 32 42 270 149.9 67.1
## 374 medium 140 100 138 82 34 46 270 147.3 77.1
## 375 small 125 80 NA NA 33 37 180 172.7 71.2
## 376 small 170 96 160 94 30 37 15 175.3 58.5
## 377 large 144 82 144 80 38 43 480 177.8 95.7
## 378 medium 124 84 NA NA 36 44 240 182.9 85.7
## 379 medium 170 110 166 108 30 33 780 177.8 54.4
## 380 medium 110 64 NA NA 32 34 300 160.0 54.9
## 381 120 98 122 100 32 41 60 142.2 54.4
## 382 large 142 79 NA NA 36 38 900 172.7 76.7
## 383 small 140 90 138 84 42 46 40 157.5 84.4
## 384 medium 130 94 130 88 42 48 450 177.8 118.8
## 385 medium 120 84 NA NA 40 44 1020 182.9 100.7
## 386 medium 128 82 NA NA 41 51 210 170.2 100.7
## 387 medium 140 96 148 100 37 47 60 157.5 81.2
## 388 large 174 90 174 84 48 50 180 172.7 101.6
## 389 small 118 78 NA NA 31 38 180 182.9 74.8
## 390 large 146 94 149 94 39 41 30 167.6 83.9
## 391 medium 144 94 142 92 34 42 480 157.5 66.7
## 392 medium 130 78 NA NA 39 45 60 157.5 80.3
## 393 large 110 70 NA NA 38 39 540 167.6 65.8
## 394 large 130 110 170 118 NA NA 60 165.1 66.2
## 395 medium 140 95 130 94 40 42 60 152.4 69.9
## 396 medium 190 94 172 100 33 39 480 167.6 61.7
## 397 medium 132 90 126 80 38 42 330 167.6 76.2
## 398 medium 218 90 238 90 31 41 210 154.9 52.2
## 399 medium 138 94 130 94 35 39 210 175.3 78.5
## 400 medium 140 100 146 102 32 43 180 160.0 69.9
## 401 small 120 70 NA NA 33 40 20 175.3 75.8
## 402 medium 120 78 NA NA 41 48 255 160.0 89.4
## 403 medium 100 72 NA NA 49 58 900 162.6 99.8
## waist_cm hip_cm BMI BMI_class
## 1 73.7 96.5 22.13152 Normal weight
## 2 116.8 121.9 37.40720 Obese
## 3 124.5 144.8 48.38708 Obese
## 4 83.8 96.5 18.64123 Normal weight
## 5 111.8 104.1 27.82873 Overweight
## 6 91.4 106.7 26.51648 Overweight
## 7 116.8 124.5 28.18085 Overweight
## 8 86.4 99.1 34.31240 Obese
## 9 86.4 101.6 24.50367 Normal weight
## 10 114.3 127.0 35.78125 Obese
## 11 99.1 114.3 25.97402 Overweight
## 12 106.7 127.0 40.78850 Obese
## 13 88.9 104.1 33.19590 Obese
## 14 94.0 109.2 33.28881 Obese
## 15 91.4 101.6 27.00936 Overweight
## 16 94.0 104.1 26.12076 Overweight
## 17 94.0 109.2 30.44977 Obese
## 18 78.7 99.1 24.88950 Normal weight
## 19 76.2 86.4 21.63490 Normal weight
## 20 116.8 129.5 32.61427 Obese
## 21 106.7 104.1 27.85829 Overweight
## 22 114.3 116.8 36.00520 Obese
## 23 121.9 139.7 42.49906 Obese
## 24 121.9 111.8 33.82212 Obese
## 25 83.8 96.5 21.38034 Normal weight
## 26 71.1 91.4 15.99287 Underweight
## 27 109.2 119.4 38.32318 Obese
## 28 68.6 83.8 15.22198 Underweight
## 29 78.7 96.5 26.52557 Overweight
## 30 94.0 99.1 27.10924 Overweight
## 31 94.0 101.6 28.94562 Overweight
## 32 73.7 88.9 21.15654 Normal weight
## 33 99.1 104.1 24.50204 Normal weight
## 34 124.5 109.2 25.67516 Overweight
## 35 81.3 86.4 19.04609 Normal weight
## 36 99.1 111.8 30.04654 Obese
## 37 78.7 88.9 25.66772 Overweight
## 38 116.8 124.5 27.80069 Overweight
## 39 78.7 91.4 20.24112 Normal weight
## 40 114.3 121.9 31.59769 Obese
## 41 88.9 101.6 25.84572 Overweight
## 42 101.6 109.2 31.08088 Obese
## 43 101.6 106.7 30.06762 Obese
## 44 109.2 124.5 31.63384 Obese
## 45 101.6 101.6 27.63684 Overweight
## 46 124.5 144.8 39.97918 Obese
## 47 106.7 106.7 25.82156 Overweight
## 48 106.7 109.2 30.68899 Obese
## 49 101.6 111.8 29.93615 Overweight
## 50 109.2 132.1 35.35096 Obese
## 51 94.0 104.1 25.64384 Overweight
## 52 91.4 116.8 31.05289 Obese
## 53 109.2 119.4 35.34215 Obese
## 54 99.1 111.8 28.67003 Overweight
## 55 129.5 137.2 42.96953 Obese
## 56 124.5 147.3 41.67604 Obese
## 57 96.5 104.1 27.35933 Overweight
## 58 129.5 129.5 39.66742 Obese
## 59 109.2 119.4 34.54775 Obese
## 60 101.6 114.3 30.82974 Obese
## 61 106.7 121.9 32.42187 Obese
## 62 86.4 101.6 23.09188 Normal weight
## 63 109.2 121.9 33.72048 Obese
## 64 78.7 88.9 NA <NA>
## 65 88.9 99.1 23.66127 Normal weight
## 66 71.1 81.3 21.63490 Normal weight
## 67 71.1 88.9 25.03401 Overweight
## 68 86.4 106.7 29.21875 Overweight
## 69 78.7 83.8 19.29648 Normal weight
## 70 88.9 96.5 24.00599 Normal weight
## 71 104.1 99.1 29.86949 Overweight
## 72 111.8 119.4 36.15349 Obese
## 73 94.0 101.6 27.61098 Overweight
## 74 109.2 137.2 40.16725 Obese
## 75 78.7 88.9 17.74581 Underweight
## 76 88.9 101.6 27.94311 Overweight
## 77 94.0 114.3 33.45931 Obese
## 78 91.4 101.6 24.83168 Normal weight
## 79 116.8 127.0 31.13071 Obese
## 80 96.5 104.1 27.30469 Overweight
## 81 104.1 106.7 28.88882 Overweight
## 82 101.6 111.8 26.47746 Overweight
## 83 96.5 104.1 26.38687 Overweight
## 84 96.5 114.3 34.30569 Obese
## 85 94.0 101.6 27.42351 Overweight
## 86 94.0 104.1 27.85829 Overweight
## 87 106.7 134.6 NA <NA>
## 88 101.6 124.5 37.49055 Obese
## 89 94.0 106.7 27.61401 Overweight
## 90 91.4 104.1 27.44772 Overweight
## 91 86.4 101.6 25.71643 Overweight
## 92 83.8 104.1 28.16406 Overweight
## 93 73.7 76.2 20.79686 Normal weight
## 94 91.4 109.2 30.10868 Obese
## 95 88.9 111.8 28.96295 Overweight
## 96 71.1 99.1 25.15625 Overweight
## 97 73.7 99.1 28.08187 Overweight
## 98 88.9 99.1 27.65625 Overweight
## 99 101.6 127.0 36.61309 Obese
## 100 106.7 109.2 30.86160 Obese
## 101 106.7 116.8 35.42969 Obese
## 102 86.4 99.1 22.74644 Normal weight
## 103 106.7 129.5 38.38458 Obese
## 104 91.4 101.6 25.10144 Overweight
## 105 91.4 99.1 28.34041 Overweight
## 106 101.6 104.1 31.01395 Obese
## 107 104.1 106.7 31.31037 Obese
## 108 88.9 101.6 25.23363 Overweight
## 109 99.1 104.1 23.66127 Normal weight
## 110 94.0 106.7 24.38882 Normal weight
## 111 99.1 111.8 30.43067 Obese
## 112 104.1 111.8 30.79001 Obese
## 113 78.7 96.5 22.12815 Normal weight
## 114 86.4 109.2 29.84255 Overweight
## 115 81.3 96.5 22.50562 Normal weight
## 116 86.4 99.1 23.09942 Normal weight
## 117 99.1 121.9 40.74219 Obese
## 118 83.8 101.6 28.00781 Overweight
## 119 129.5 162.6 37.73783 Obese
## 120 78.7 101.6 21.77919 Normal weight
## 121 81.3 88.9 17.20820 Underweight
## 122 96.5 109.2 26.92623 Overweight
## 123 78.7 99.1 23.04767 Normal weight
## 124 86.4 106.7 28.00781 Overweight
## 125 81.3 101.6 19.97369 Normal weight
## 126 99.1 109.2 28.13852 Overweight
## 127 111.8 127.0 39.10777 Obese
## 128 83.8 91.4 22.14844 Normal weight
## 129 121.9 129.5 43.24219 Obese
## 130 111.8 119.4 31.40757 Obese
## 131 94.0 101.6 24.01777 Normal weight
## 132 119.4 134.6 35.55643 Obese
## 133 101.6 109.2 27.45968 Overweight
## 134 96.5 111.8 27.80834 Overweight
## 135 134.6 157.5 55.75148 Obese
## 136 81.3 96.5 21.44531 Normal weight
## 137 86.4 96.5 19.38094 Normal weight
## 138 109.2 121.9 34.93505 Obese
## 139 124.5 114.3 37.12922 Obese
## 140 96.5 109.2 27.72020 Overweight
## 141 83.8 116.8 30.11719 Obese
## 142 81.3 104.1 22.19593 Normal weight
## 143 78.7 83.8 19.54449 Normal weight
## 144 94.0 101.6 27.44772 Overweight
## 145 83.8 96.5 23.64675 Normal weight
## 146 83.8 99.1 22.17909 Normal weight
## 147 73.7 83.8 18.00387 Underweight
## 148 129.5 124.5 39.73069 Obese
## 149 99.1 104.1 29.26682 Overweight
## 150 73.7 91.4 19.66973 Normal weight
## 151 142.2 124.5 44.66580 Obese
## 152 101.6 114.3 29.79088 Overweight
## 153 94.0 109.2 26.30852 Overweight
## 154 99.1 104.1 24.95925 Normal weight
## 155 116.8 137.2 38.59416 Obese
## 156 111.8 114.3 31.95275 Obese
## 157 88.9 99.1 19.49046 Normal weight
## 158 91.4 106.7 26.52557 Overweight
## 159 101.6 114.3 30.84190 Obese
## 160 116.8 137.2 41.18939 Obese
## 161 132.1 147.3 45.46033 Obese
## 162 76.2 94.0 NA <NA>
## 163 91.4 109.2 27.11927 Overweight
## 164 99.1 119.4 34.96220 Obese
## 165 76.2 91.4 21.10538 Normal weight
## 166 73.7 88.9 19.04609 Normal weight
## 167 91.4 99.1 25.41467 Overweight
## 168 94.0 116.8 23.25694 Normal weight
## 169 99.1 109.2 28.00781 Overweight
## 170 96.5 106.7 24.13969 Normal weight
## 171 71.1 94.0 21.09375 Normal weight
## 172 132.1 149.9 44.15211 Obese
## 173 96.5 101.6 25.25212 Overweight
## 174 94.0 104.1 25.38229 Overweight
## 175 83.8 99.1 22.96573 Normal weight
## 176 96.5 94.0 24.67041 Normal weight
## 177 96.5 114.3 30.50934 Obese
## 178 101.6 119.4 41.16598 Obese
## 179 116.8 111.8 34.71016 Obese
## 180 114.3 116.8 27.80834 Overweight
## 181 114.3 116.8 30.50934 Obese
## 182 86.4 104.1 24.39286 Normal weight
## 183 83.8 114.3 27.44148 Overweight
## 184 94.0 111.8 24.97840 Normal weight
## 185 111.8 106.7 30.10079 Obese
## 186 101.6 134.6 41.28906 Obese
## 187 94.0 109.2 29.31578 Overweight
## 188 91.4 109.2 27.22399 Overweight
## 189 104.1 119.4 35.27344 Obese
## 190 99.1 114.3 31.73371 Obese
## 191 81.3 96.5 23.02538 Normal weight
## 192 73.7 94.0 22.50562 Normal weight
## 193 94.0 101.6 27.62573 Overweight
## 194 99.1 111.8 33.66087 Obese
## 195 94.0 109.2 24.75142 Normal weight
## 196 94.0 96.5 NA <NA>
## 197 86.4 96.5 22.30537 Normal weight
## 198 127.0 119.4 40.54858 Obese
## 199 111.8 121.9 37.80110 Obese
## 200 81.3 83.8 20.08677 Normal weight
## 201 76.2 94.0 20.19531 Normal weight
## 202 86.4 109.2 32.72572 Obese
## 203 114.3 121.9 31.95275 Obese
## 204 119.4 114.3 30.71248 Obese
## 205 83.8 86.4 18.12311 Underweight
## 206 73.7 83.8 30.23147 Obese
## 207 83.8 96.5 23.42491 Normal weight
## 208 111.8 119.4 30.55682 Obese
## 209 94.0 109.2 27.22522 Overweight
## 210 101.6 106.7 25.50781 Overweight
## 211 73.7 88.9 19.19942 Normal weight
## 212 86.4 109.2 29.06250 Overweight
## 213 114.3 116.8 33.45806 Obese
## 214 96.5 96.5 23.25694 Normal weight
## 215 76.2 88.9 22.95396 Normal weight
## 216 81.3 94.0 23.33695 Normal weight
## 217 66.0 83.8 19.18871 Normal weight
## 218 83.8 88.9 19.19942 Normal weight
## 219 81.3 96.5 21.95312 Normal weight
## 220 104.1 116.8 30.11719 Obese
## 221 78.7 101.6 24.50995 Normal weight
## 222 83.8 106.7 27.44148 Overweight
## 223 96.5 104.1 29.89502 Overweight
## 224 94.0 109.2 29.12905 Overweight
## 225 99.1 119.4 34.00849 Obese
## 226 88.9 99.1 21.59241 Normal weight
## 227 86.4 104.1 27.79860 Overweight
## 228 71.1 94.0 17.76448 Underweight
## 229 101.6 109.2 30.10079 Obese
## 230 96.5 116.8 32.07031 Obese
## 231 94.0 104.1 26.82454 Overweight
## 232 96.5 111.8 NA <NA>
## 233 94.0 106.7 25.97046 Overweight
## 234 88.9 94.0 21.92071 Normal weight
## 235 116.8 124.5 31.48297 Obese
## 236 96.5 106.7 29.80692 Overweight
## 237 81.3 101.6 27.10937 Overweight
## 238 96.5 99.1 25.85054 Overweight
## 239 101.6 104.1 30.36694 Obese
## 240 114.3 121.9 36.13706 Obese
## 241 121.9 124.5 35.12452 Obese
## 242 104.1 119.4 32.28935 Obese
## 243 88.9 99.1 22.60976 Normal weight
## 244 83.8 101.6 25.79995 Overweight
## 245 91.4 99.1 27.82873 Overweight
## 246 76.2 111.8 25.06210 Overweight
## 247 73.7 101.6 19.95744 Normal weight
## 248 81.3 88.9 24.13969 Normal weight
## 249 96.5 111.8 29.84255 Overweight
## 250 114.3 147.3 44.64844 Obese
## 251 83.8 101.6 26.35005 Overweight
## 252 83.8 104.1 27.46094 Overweight
## 253 101.6 106.7 31.71875 Obese
## 254 101.6 114.3 29.43883 Overweight
## 255 78.7 94.0 21.04308 Normal weight
## 256 104.1 119.4 30.68734 Obese
## 257 139.7 157.5 51.36719 Obese
## 258 91.4 99.1 23.44032 Normal weight
## 259 119.4 132.1 41.18939 Obese
## 260 94.0 104.1 30.26350 Obese
## 261 106.7 119.4 34.30002 Obese
## 262 109.2 129.5 33.89890 Obese
## 263 99.1 96.5 24.50367 Normal weight
## 264 88.9 106.7 30.11719 Obese
## 265 106.7 99.1 26.87919 Overweight
## 266 86.4 111.8 31.17187 Obese
## 267 86.4 106.7 24.88770 Normal weight
## 268 101.6 101.6 27.76813 Overweight
## 269 127.0 124.5 38.63654 Obese
## 270 91.4 119.4 24.66638 Normal weight
## 271 99.1 104.1 30.26350 Obese
## 272 96.5 101.6 28.65227 Overweight
## 273 66.0 94.0 20.47105 Normal weight
## 274 78.7 91.4 22.69531 Normal weight
## 275 109.2 114.3 30.44977 Obese
## 276 76.2 91.4 18.10028 Underweight
## 277 114.3 124.5 36.61919 Obese
## 278 78.7 99.1 26.95283 Overweight
## 279 127.0 152.4 50.50781 Obese
## 280 96.5 106.7 27.35933 Overweight
## 281 91.4 114.3 28.35937 Overweight
## 282 86.4 99.1 23.71717 Normal weight
## 283 109.2 119.4 34.96706 Obese
## 284 91.4 101.6 23.37658 Normal weight
## 285 96.5 124.5 48.59485 Obese
## 286 83.8 99.1 24.21438 Normal weight
## 287 91.4 111.8 27.97682 Overweight
## 288 78.7 99.1 22.85714 Normal weight
## 289 78.7 99.1 22.87660 Normal weight
## 290 114.3 137.2 38.27714 Obese
## 291 94.0 101.6 23.09188 Normal weight
## 292 104.1 111.8 33.83039 Obese
## 293 96.5 116.8 31.71875 Obese
## 294 111.8 119.4 34.53445 Obese
## 295 96.5 99.1 23.46235 Normal weight
## 296 81.3 96.5 21.81417 Normal weight
## 297 81.3 96.5 22.28570 Normal weight
## 298 71.1 88.9 20.19531 Normal weight
## 299 121.9 134.6 41.00041 Obese
## 300 96.5 116.8 31.80650 Obese
## 301 88.9 116.8 31.29355 Obese
## 302 101.6 124.5 32.94444 Obese
## 303 78.7 99.1 19.55462 Normal weight
## 304 104.1 132.1 34.23269 Obese
## 305 83.8 101.6 25.35156 Overweight
## 306 91.4 121.9 22.85277 Normal weight
## 307 81.3 99.1 20.24494 Normal weight
## 308 83.8 101.6 25.13023 Overweight
## 309 124.5 147.3 42.55116 Obese
## 310 83.8 96.5 19.49411 Normal weight
## 311 81.3 101.6 25.40283 Overweight
## 312 104.1 116.8 30.15369 Obese
## 313 99.1 101.6 25.81230 Overweight
## 314 86.4 99.1 22.73280 Normal weight
## 315 94.0 106.7 28.90733 Overweight
## 316 91.4 106.7 29.50736 Overweight
## 317 78.7 96.5 22.31572 Normal weight
## 318 101.6 119.4 NA <NA>
## 319 111.8 119.4 31.01195 Obese
## 320 78.7 94.0 21.64479 Normal weight
## 321 76.2 86.4 18.58328 Normal weight
## 322 91.4 109.2 29.06526 Overweight
## 323 83.8 96.5 19.13166 Normal weight
## 324 88.9 99.1 24.95925 Normal weight
## 325 109.2 124.5 25.97046 Overweight
## 326 88.9 104.1 24.39286 Normal weight
## 327 106.7 116.8 33.74895 Obese
## 328 94.0 106.7 29.31578 Overweight
## 329 134.6 142.2 43.33585 Obese
## 330 88.9 96.5 24.04809 Normal weight
## 331 101.6 104.1 23.73812 Normal weight
## 332 99.1 109.2 28.16898 Overweight
## 333 119.4 147.3 43.39844 Obese
## 334 83.8 99.1 21.51025 Normal weight
## 335 94.0 109.2 25.03900 Overweight
## 336 86.4 94.0 22.06181 Normal weight
## 337 NA NA 25.96120 Overweight
## 338 106.7 124.5 33.96528 Obese
## 339 88.9 96.5 25.37941 Overweight
## 340 109.2 116.8 33.27462 Obese
## 341 99.1 111.8 28.05068 Overweight
## 342 96.5 116.8 32.26562 Obese
## 343 101.6 132.1 41.59371 Obese
## 344 99.1 119.4 30.71248 Obese
## 345 121.9 129.5 33.20901 Obese
## 346 86.4 116.8 32.20562 Obese
## 347 119.4 139.7 41.50979 Obese
## 348 99.1 104.1 27.17206 Overweight
## 349 104.1 114.3 25.53211 Overweight
## 350 104.1 114.3 34.14107 Obese
## 351 81.3 94.0 23.62308 Normal weight
## 352 106.7 137.2 39.10925 Obese
## 353 121.9 129.5 42.66177 Obese
## 354 91.4 101.6 22.58373 Normal weight
## 355 119.4 132.1 36.79918 Obese
## 356 83.8 106.7 28.11533 Overweight
## 357 109.2 116.8 30.44977 Obese
## 358 88.9 96.5 24.13004 Normal weight
## 359 109.2 114.3 31.89057 Obese
## 360 104.1 106.7 28.34158 Overweight
## 361 109.2 119.4 32.60975 Obese
## 362 94.0 114.3 27.45968 Overweight
## 363 91.4 104.1 24.83310 Normal weight
## 364 104.1 127.0 32.79770 Obese
## 365 104.1 121.9 37.50146 Obese
## 366 101.6 114.3 29.27364 Overweight
## 367 119.4 121.9 29.59263 Overweight
## 368 101.6 106.7 27.46494 Overweight
## 369 111.8 104.1 29.62963 Overweight
## 370 83.8 96.5 20.57585 Normal weight
## 371 94.0 104.1 24.52851 Normal weight
## 372 111.8 134.6 43.92254 Obese
## 373 81.3 106.7 29.86202 Overweight
## 374 86.4 116.8 35.53439 Obese
## 375 83.8 94.0 23.87236 Normal weight
## 376 76.2 94.0 19.03672 Normal weight
## 377 96.5 109.2 30.27251 Obese
## 378 91.4 111.8 25.61848 Overweight
## 379 76.2 83.8 17.20820 Underweight
## 380 81.3 86.4 21.44531 Normal weight
## 381 81.3 104.1 26.90294 Overweight
## 382 91.4 96.5 25.71643 Overweight
## 383 106.7 116.8 34.02368 Obese
## 384 106.7 121.9 37.57967 Obese
## 385 101.6 111.8 30.10246 Obese
## 386 104.1 129.5 34.76245 Obese
## 387 94.0 119.4 32.73369 Obese
## 388 121.9 127.0 34.06505 Obese
## 389 78.7 96.5 22.36012 Normal weight
## 390 99.1 104.1 29.86854 Overweight
## 391 86.4 106.7 26.88838 Overweight
## 392 99.1 114.3 32.37087 Obese
## 393 96.5 99.1 23.42491 Normal weight
## 394 NA NA 24.28644 Normal weight
## 395 101.6 106.7 30.09589 Obese
## 396 83.8 99.1 21.96530 Normal weight
## 397 96.5 106.7 27.12732 Overweight
## 398 78.7 104.1 21.75543 Normal weight
## 399 88.9 99.1 25.54500 Overweight
## 400 81.3 109.2 27.30469 Overweight
## 401 83.8 101.6 24.66638 Normal weight
## 402 104.1 121.9 34.92187 Obese
## 403 124.5 147.3 37.74761 ObeseTake a look at the following code snippet to get you started:
tibble(x = rnorm(10)) |>
mutate(trichotomised = case_when(
x < -1 ~ "Less than -1",
-1 <= x & x < 1 ~ "larger than or equal to -1 and smaller than 1",
1 <= x ~ "Larger than or equal to 1"))## # A tibble: 10 × 2
## x trichotomised
## <dbl> <chr>
## 1 0.0897 larger than or equal to -1 and smaller than 1
## 2 -2.09 Less than -1
## 3 -0.460 larger than or equal to -1 and smaller than 1
## 4 0.0700 larger than or equal to -1 and smaller than 1
## 5 -0.924 larger than or equal to -1 and smaller than 1
## 6 -0.172 larger than or equal to -1 and smaller than 1
## 7 1.06 Larger than or equal to 1
## 8 0.326 larger than or equal to -1 and smaller than 1
## 9 -2.15 Less than -1
## 10 0.921 larger than or equal to -1 and smaller than 1Then go read about BMI classification and discuss in your group how to extract classifications from the Definition/Introduction section.
Note: The cut() function could be used
here, but you should try to use case_when() as illustrated
above.
Once you have created the variable, you will need to convert it to a categorical variable (a factor) and you can set the levels like so:
This is very important for plotting, as this will determine the order in which the categories appear on the plot!
factor_BMI_Class <- factor(diabetes_3$BMI_class,
levels = c("Underweight", "Normal", "Overweight", "Obese"))
factor_BMI_Class## [1] <NA> Obese Obese <NA> Overweight Overweight
## [7] Overweight Obese <NA> Obese Overweight Obese
## [13] Obese Obese Overweight Overweight Obese <NA>
## [19] <NA> Obese Overweight Obese Obese Obese
## [25] <NA> Underweight Obese Underweight Overweight Overweight
## [31] Overweight <NA> <NA> Overweight <NA> Obese
## [37] Overweight Overweight <NA> Obese Overweight Obese
## [43] Obese Obese Overweight Obese Overweight Obese
## [49] Overweight Obese Overweight Obese Obese Overweight
## [55] Obese Obese Overweight Obese Obese Obese
## [61] Obese <NA> Obese <NA> <NA> <NA>
## [67] Overweight Overweight <NA> <NA> Overweight Obese
## [73] Overweight Obese Underweight Overweight Obese <NA>
## [79] Obese Overweight Overweight Overweight Overweight Obese
## [85] Overweight Overweight <NA> Obese Overweight Overweight
## [91] Overweight Overweight <NA> Obese Overweight Overweight
## [97] Overweight Overweight Obese Obese Obese <NA>
## [103] Obese Overweight Overweight Obese Obese Overweight
## [109] <NA> <NA> Obese Obese <NA> Overweight
## [115] <NA> <NA> Obese Overweight Obese <NA>
## [121] Underweight Overweight <NA> Overweight <NA> Overweight
## [127] Obese <NA> Obese Obese <NA> Obese
## [133] Overweight Overweight Obese <NA> <NA> Obese
## [139] Obese Overweight Obese <NA> <NA> Overweight
## [145] <NA> <NA> Underweight Obese Overweight <NA>
## [151] Obese Overweight Overweight <NA> Obese Obese
## [157] <NA> Overweight Obese Obese Obese <NA>
## [163] Overweight Obese <NA> <NA> Overweight <NA>
## [169] Overweight <NA> <NA> Obese Overweight Overweight
## [175] <NA> <NA> Obese Obese Obese Overweight
## [181] Obese <NA> Overweight <NA> Obese Obese
## [187] Overweight Overweight Obese Obese <NA> <NA>
## [193] Overweight Obese <NA> <NA> <NA> Obese
## [199] Obese <NA> <NA> Obese Obese Obese
## [205] Underweight Obese <NA> Obese Overweight Overweight
## [211] <NA> Overweight Obese <NA> <NA> <NA>
## [217] <NA> <NA> <NA> Obese <NA> Overweight
## [223] Overweight Overweight Obese <NA> Overweight Underweight
## [229] Obese Obese Overweight <NA> Overweight <NA>
## [235] Obese Overweight Overweight Overweight Obese Obese
## [241] Obese Obese <NA> Overweight Overweight Overweight
## [247] <NA> <NA> Overweight Obese Overweight Overweight
## [253] Obese Overweight <NA> Obese Obese <NA>
## [259] Obese Obese Obese Obese <NA> Obese
## [265] Overweight Obese <NA> Overweight Obese <NA>
## [271] Obese Overweight <NA> <NA> Obese Underweight
## [277] Obese Overweight Obese Overweight Overweight <NA>
## [283] Obese <NA> Obese <NA> Overweight <NA>
## [289] <NA> Obese <NA> Obese Obese Obese
## [295] <NA> <NA> <NA> <NA> Obese Obese
## [301] Obese Obese <NA> Obese Overweight <NA>
## [307] <NA> Overweight Obese <NA> Overweight Obese
## [313] Overweight <NA> Overweight Overweight <NA> <NA>
## [319] Obese <NA> <NA> Overweight <NA> <NA>
## [325] Overweight <NA> Obese Overweight Obese <NA>
## [331] <NA> Overweight Obese <NA> Overweight <NA>
## [337] Overweight Obese Overweight Obese Overweight Obese
## [343] Obese Obese Obese Obese Obese Overweight
## [349] Overweight Obese <NA> Obese Obese <NA>
## [355] Obese Overweight Obese <NA> Obese Overweight
## [361] Obese Overweight <NA> Obese Obese Overweight
## [367] Overweight Overweight Overweight <NA> <NA> Obese
## [373] Overweight Obese <NA> <NA> Obese Overweight
## [379] Underweight <NA> Overweight Overweight Obese Obese
## [385] Obese Obese Obese Obese <NA> Overweight
## [391] Overweight Obese <NA> <NA> Obese <NA>
## [397] Overweight <NA> Overweight Overweight <NA> Obese
## [403] Obese
## Levels: Underweight Normal Overweight ObeseT6: Create a box plot of hdl versus
BMI_class
ggplot(diabetes_3, aes(x=hdl, y=BMI_class))+ geom_boxplot()
Q17: What do you see?
# When looking at the box plot of HDL vs. BMI Class, you will typically observe the following trends:
# if HDL increases or decreases as BMI category changes.
# some BMI groups may have wider boxes, meaning more variation in HDL
# points outside the box show unusually high or low HDL low
# Distribution Skewness: Most boxes will have a longer whisker on the top than the bottom, suggesting that HDL data is positively skewed (a few people have very high HDL, but no one can have less than zero).
# Summary Finding: The plot visually confirms a negative correlation between body mass and HDL cholesterol, where higher weight classes are associated with lower cardiovascular health markers (lower HDL).T7: Create a BFP (Body fat percentage) variable
diabetes_4<- diabetes_3 %>% mutate(gender_num=ifelse(gender=="male", 1, 0), BFP=1.2*BMI + 0.23*age -10.8*gender_num-5.4)
diabetes_4## id chol stab.glu hdl ratio glyhb location age gender height weight
## 1 1000 203 82 56 3.6 4.31 Buckingham 46 female 62 121
## 2 1001 165 97 24 6.9 4.44 Buckingham 29 female 64 218
## 3 1002 228 92 37 6.2 4.64 Buckingham 58 female 61 256
## 4 1003 78 93 12 6.5 4.63 Buckingham 67 male 67 119
## 5 1005 249 90 28 8.9 7.72 Buckingham 64 male 68 183
## 6 1008 248 94 69 3.6 4.81 Buckingham 34 male 71 190
## 7 1011 195 92 41 4.8 4.84 Buckingham 30 male 69 191
## 8 1015 227 75 44 5.2 3.94 Buckingham 37 male 59 170
## 9 1016 177 87 49 3.6 4.84 Buckingham 45 male 69 166
## 10 1022 263 89 40 6.6 5.78 Buckingham 55 female 63 202
## 11 1024 242 82 54 4.5 4.77 Louisa 60 female 65 156
## 12 1029 215 128 34 6.3 4.97 Louisa 38 female 58 195
## 13 1030 238 75 36 6.6 4.47 Louisa 27 female 60 170
## 14 1031 183 79 46 4.0 4.59 Louisa 40 female 59 165
## 15 1035 191 76 30 6.4 4.67 Louisa 36 male 69 183
## 16 1036 213 83 47 4.5 3.41 Louisa 33 female 65 157
## 17 1037 255 78 38 6.7 4.33 Louisa 50 female 65 183
## 18 1041 230 112 64 3.6 4.53 Louisa 20 male 67 159
## 19 1045 194 81 36 5.4 5.28 Louisa 36 male 64 126
## 20 1250 196 206 41 4.8 11.24 Buckingham 62 female 65 196
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## frame bp.1s bp.1d bp.2s bp.2d waist hip time.ppn height_cm weight_kg
## 1 medium 118 59 NA NA 29 38 720 157.5 54.9
## 2 large 112 68 NA NA 46 48 360 162.6 98.9
## 3 large 190 92 185 92 49 57 180 154.9 116.1
## 4 large 110 50 NA NA 33 38 480 170.2 54.0
## 5 medium 138 80 NA NA 44 41 300 172.7 83.0
## 6 large 132 86 NA NA 36 42 195 180.3 86.2
## 7 medium 161 112 161 112 46 49 720 175.3 86.6
## 8 medium NA NA NA NA 34 39 1020 149.9 77.1
## 9 large 160 80 128 86 34 40 300 175.3 75.3
## 10 small 108 72 NA NA 45 50 240 160.0 91.6
## 11 medium 130 90 130 90 39 45 300 165.1 70.8
## 12 medium 102 68 NA NA 42 50 90 147.3 88.5
## 13 medium 130 80 NA NA 35 41 720 152.4 77.1
## 14 medium NA NA NA NA 37 43 60 149.9 74.8
## 15 medium 100 66 NA NA 36 40 225 175.3 83.0
## 16 medium 130 90 120 96 37 41 240 165.1 71.2
## 17 medium 130 100 NA NA 37 43 180 165.1 83.0
## 18 medium 100 90 NA NA 31 39 1440 170.2 72.1
## 19 medium 110 76 NA NA 30 34 120 162.6 57.2
## 20 large 178 90 NA NA 46 51 540 165.1 88.9
## 21 large 148 88 148 84 42 41 1020 170.2 80.7
## 22 large 137 100 149 110 45 46 480 170.2 104.3
## 23 large 136 83 NA NA 48 55 240 175.3 130.6
## 24 large 158 88 160 88 48 44 285 157.5 83.9
## 25 medium 100 70 110 70 33 38 210 154.9 51.3
## 26 small 144 112 NA NA 28 36 780 182.9 53.5
## 27 large 140 95 NA NA 43 47 420 172.7 114.3
## 28 small 120 85 NA NA 27 33 510 172.7 45.4
## 29 medium 125 70 NA NA 31 38 720 157.5 65.8
## 30 medium 180 122 170 112 37 39 450 177.8 85.7
## 31 medium 146 94 139 89 37 40 540 165.1 78.9
## 32 large 130 90 NA NA 29 35 780 172.7 63.1
## 33 medium 170 88 168 80 39 41 225 188.0 86.6
## 34 medium 176 86 180 90 49 43 330 175.3 78.9
## 35 medium 120 78 NA NA 32 34 720 167.6 53.5
## 36 medium 140 97 NA NA 39 44 780 167.6 84.4
## 37 medium 115 64 NA NA 31 35 720 167.6 72.1
## 38 medium NA NA NA NA 46 49 240 182.9 93.0
## 39 medium 124 64 NA NA 31 36 30 180.3 65.8
## 40 large 158 90 160 96 45 48 840 175.3 97.1
## 41 large 105 85 NA NA 35 40 720 167.6 72.6
## 42 medium 142 79 NA NA 40 43 720 157.5 77.1
## 43 large 149 89 136 88 40 42 30 170.2 87.1
## 44 large 124 80 NA NA 43 49 300 190.5 114.8
## 45 large 130 60 NA NA 40 40 90 149.9 62.1
## 46 medium 110 82 NA NA 49 57 90 162.6 105.7
## 47 medium 140 65 NA NA 42 42 150 170.2 74.8
## 48 medium 110 68 NA NA 42 43 450 170.2 88.9
## 49 medium 106 82 NA NA 40 44 780 165.1 81.6
## 50 medium 150 82 142 78 43 52 360 167.6 99.3
## 51 158 78 140 84 37 41 120 165.1 69.9
## 52 medium 104 90 NA NA 36 46 240 162.6 82.1
## 53 large 158 94 149 96 43 47 360 154.9 84.8
## 54 large 124 86 NA NA 39 44 270 162.6 75.8
## 55 medium 126 80 NA NA 51 54 780 152.4 99.8
## 56 small 165 110 153 100 49 58 60 172.7 124.3
## 57 large 141 81 NA NA 38 41 540 172.7 81.6
## 58 large 160 82 NA NA 51 51 180 157.5 98.4
## 59 large 130 90 NA NA 43 47 195 157.5 85.7
## 60 large 138 79 NA NA 40 45 720 167.6 86.6
## 61 large 159 99 160 103 42 48 300 160.0 83.0
## 62 medium 130 79 NA NA 34 40 720 177.8 73.0
## 63 medium 158 98 148 88 43 48 420 177.8 106.6
## 64 NA NA NA NA 31 35 120 NA 56.7
## 65 medium 121 71 NA NA 35 39 720 177.8 74.8
## 66 small 120 90 NA NA 28 32 180 162.6 57.2
## 67 medium 120 70 NA NA 28 35 960 157.5 62.1
## 68 medium 150 80 145 80 34 42 960 160.0 74.8
## 69 medium 160 60 160 60 31 33 1020 154.9 46.3
## 70 170 82 NA NA 35 38 120 154.9 57.6
## 71 medium 138 94 140 80 41 39 240 180.3 97.1
## 72 large 126 75 NA NA 44 47 420 175.3 111.1
## 73 medium 108 70 NA NA 37 40 120 162.6 73.0
## 74 medium 142 98 130 92 43 54 240 172.7 119.8
## 75 small 140 90 NA NA 31 35 300 190.5 64.4
## 76 large 156 78 144 76 35 40 1200 152.4 64.9
## 77 medium 130 86 NA NA 37 45 180 157.5 83.0
## 78 large 178 120 182 110 36 40 240 177.8 78.5
## 79 medium 120 75 NA NA 46 50 210 180.3 101.2
## 80 large 174 75 NA NA 38 41 180 160.0 69.9
## 81 medium 145 100 NA NA 41 42 270 185.4 99.3
## 82 small 138 78 NA NA 40 44 10 170.2 76.7
## 83 small 120 76 NA NA 38 41 210 185.4 90.7
## 84 medium 136 52 NA NA 38 45 60 162.6 90.7
## 85 medium 147 72 NA NA 37 40 420 154.9 65.8
## 86 large 119 68 NA NA 37 41 780 170.2 80.7
## 87 large 139 69 NA NA 42 53 720 NA 97.5
## 88 medium 120 80 NA NA 40 49 840 157.5 93.0
## 89 medium 125 64 NA NA 37 42 660 157.5 68.5
## 90 large 121 62 NA NA 36 41 420 167.6 77.1
## 91 large 138 79 NA NA 34 40 690 172.7 76.7
## 92 medium 151 85 148 79 33 41 1140 160.0 72.1
## 93 small 103 64 NA NA 29 30 120 154.9 49.9
## 94 large 119 72 NA NA 36 43 60 172.7 89.8
## 95 medium 110 90 NA NA 35 44 10 170.2 83.9
## 96 medium 125 85 117 68 28 39 900 160.0 64.4
## 97 medium 112 72 NA NA 29 39 1560 149.9 63.1
## 98 medium 142 102 156 106 35 39 120 160.0 70.8
## 99 large 160 92 150 98 40 50 20 165.1 99.8
## 100 medium 160 80 158 80 42 43 390 170.2 89.4
## 101 large 111 65 NA NA 42 46 780 160.0 90.7
## 102 large 136 96 130 94 34 39 600 175.3 69.9
## 103 large 136 84 NA NA 42 51 10 154.9 92.1
## 104 medium 136 90 126 84 36 40 45 180.3 81.6
## 105 small 115 68 NA NA 36 39 780 154.9 68.0
## 106 medium 130 90 NA NA 40 41 60 172.7 92.5
## 107 medium 110 90 NA NA 41 42 240 170.2 90.7
## 108 medium 150 90 156 88 35 40 300 149.9 56.7
## 109 170 90 170 100 39 41 240 177.8 74.8
## 110 large 130 73 NA NA 37 42 720 177.8 77.1
## 111 132 90 NA NA 39 44 NA 177.8 96.2
## 112 large 158 104 158 108 41 44 330 182.9 103.0
## 113 small 138 82 NA NA 31 38 60 175.3 68.0
## 114 medium 160 96 162 96 34 43 30 162.6 78.9
## 115 small 118 70 NA NA 32 38 300 154.9 54.0
## 116 medium 131 88 NA NA 34 39 30 185.4 79.4
## 117 large 141 99 NA NA 39 48 30 160.0 104.3
## 118 medium 139 79 NA NA 33 40 720 160.0 71.7
## 119 large 159 99 150 89 51 64 210 177.8 119.3
## 120 small 150 80 NA NA 31 40 120 180.3 70.8
## 121 small 150 105 150 100 32 35 120 177.8 54.4
## 122 small 150 102 150 100 38 43 300 170.2 78.0
## 123 medium 138 82 NA NA 31 39 1170 182.9 77.1
## 124 medium 160 68 158 74 34 42 240 160.0 71.7
## 125 small 124 78 NA NA 32 40 720 193.0 74.4
## 126 large 112 62 NA NA 39 43 180 165.1 76.7
## 127 medium 110 80 NA NA 44 50 10 165.1 106.6
## 128 medium 110 76 NA NA 33 36 240 160.0 56.7
## 129 large 170 92 NA NA 48 51 660 160.0 110.7
## 130 large 130 66 NA NA 44 47 180 180.3 102.1
## 131 small 180 110 210 110 37 40 225 162.6 63.5
## 132 medium 122 70 NA NA 47 53 140 170.2 103.0
## 133 small 130 88 NA NA 40 43 60 162.6 72.6
## 134 medium 132 72 NA NA 38 44 30 165.1 75.8
## 135 large 141 79 NA NA 53 62 60 162.6 147.4
## 136 small 111 62 NA NA 32 38 855 160.0 54.9
## 137 small 140 75 NA NA 34 38 90 188.0 68.5
## 138 medium 136 83 NA NA 43 48 960 170.2 101.2
## 139 large 150 98 NA NA 49 45 90 180.3 120.7
## 140 medium 162 78 156 82 38 43 315 170.2 80.3
## 141 medium 110 68 NA NA 33 46 210 160.0 77.1
## 142 small 145 95 NA NA 32 41 600 172.7 66.2
## 143 small 104 64 NA NA 31 33 30 167.6 54.9
## 144 medium 146 92 168 98 37 40 120 167.6 77.1
## 145 small 130 90 NA NA 33 38 1320 170.2 68.5
## 146 small 125 72 NA NA 33 39 750 180.3 72.1
## 147 medium 125 82 NA NA 29 33 60 162.6 47.6
## 148 large 140 86 NA NA 51 49 900 177.8 125.6
## 149 medium 126 90 NA NA 39 41 390 157.5 72.6
## 150 small 108 78 NA NA 29 36 1080 182.9 65.8
## 151 large 140 86 NA NA 56 49 30 180.3 145.2
## 152 large 135 88 NA NA 40 45 720 157.5 73.9
## 153 179 89 172 91 37 43 60 167.6 73.9
## 154 medium 139 90 136 86 39 41 720 175.3 76.7
## 155 large 120 86 NA NA 46 54 900 165.1 105.2
## 156 large 151 87 NA NA 44 45 15 172.7 95.3
## 157 large 150 80 NA NA 35 39 270 193.0 72.6
## 158 small 110 72 NA NA 36 42 720 157.5 65.8
## 159 large 138 89 137 79 40 45 720 177.8 97.5
## 160 medium 140 98 NA NA 46 54 210 167.6 115.7
## 161 large 110 90 NA NA 52 58 300 175.3 139.7
## 162 medium 125 69 NA NA 30 37 10 175.3 NA
## 163 medium 146 76 NA NA 36 43 10 162.6 71.7
## 164 medium 150 106 160 116 39 47 60 165.1 95.3
## 165 small 140 76 NA NA 30 36 300 162.6 55.8
## 166 small 98 66 NA NA 29 35 150 167.6 53.5
## 167 large 161 118 151 111 36 39 60 172.7 75.8
## 168 medium 125 90 NA NA 37 46 60 190.5 84.4
## 169 small 138 88 NA NA 39 43 180 160.0 71.7
## 170 small 230 120 235 120 38 42 60 165.1 65.8
## 171 small 122 86 NA NA 28 37 270 160.0 54.0
## 172 medium 142 78 136 84 52 59 420 170.2 127.9
## 173 large 136 86 NA NA 38 40 240 175.3 77.6
## 174 large 138 66 NA NA 37 41 210 175.3 78.0
## 175 small 132 80 NA NA 33 39 990 165.1 62.6
## 176 medium 148 76 148 78 38 37 90 185.4 84.8
## 177 medium 140 90 NA NA 38 45 90 167.6 85.7
## 178 small 118 69 NA NA 40 47 780 149.9 92.5
## 179 large 186 102 190 110 46 44 360 167.6 97.5
## 180 large 140 72 NA NA 45 46 480 165.1 75.8
## 181 medium 200 94 208 90 45 46 195 167.6 85.7
## 182 small 110 78 NA NA 34 41 60 182.9 81.6
## 183 small 118 68 NA NA 33 45 150 165.1 74.8
## 184 medium 146 98 136 96 37 44 30 180.3 81.2
## 185 large 136 90 NA NA 44 42 120 175.3 92.5
## 186 large 140 90 136 86 40 53 45 160.0 105.7
## 187 medium 142 92 148 98 37 43 90 180.3 95.3
## 188 medium 136 96 130 98 36 43 630 180.3 88.5
## 189 medium 180 96 176 94 41 47 720 160.0 90.3
## 190 medium 110 80 NA NA 39 45 300 162.6 83.9
## 191 medium 140 102 148 102 32 38 80 170.2 66.7
## 192 small 142 96 140 86 29 37 135 154.9 54.0
## 193 medium 132 82 NA NA 37 40 210 167.6 77.6
## 194 small 104 80 NA NA 39 44 10 157.5 83.5
## 195 small 138 82 NA NA 37 43 90 170.2 71.7
## 196 small 122 76 NA NA 37 38 360 NA 59.0
## 197 small 142 70 NA NA 34 38 240 165.1 60.8
## 198 large 118 72 NA NA 50 47 720 167.6 113.9
## 199 medium 190 110 170 90 44 48 720 154.9 90.7
## 200 medium 118 86 NA NA 32 33 120 177.8 63.5
## 201 small 180 105 165 105 30 37 15 160.0 51.7
## 202 medium 140 80 NA NA 34 43 780 170.2 94.8
## 203 large 160 78 158 84 45 48 60 172.7 95.3
## 204 medium 142 80 142 90 47 45 30 162.6 81.2
## 205 small 170 88 180 100 33 34 435 165.1 49.4
## 206 small 199 115 190 99 29 33 120 139.7 59.0
## 207 medium 131 79 NA NA 33 38 150 167.6 65.8
## 208 medium 190 118 NA NA 44 47 120 157.5 75.8
## 209 small 110 76 NA NA 37 43 60 172.7 81.2
## 210 medium 190 100 170 86 40 42 120 160.0 65.3
## 211 small 135 75 NA NA 29 35 720 175.3 59.0
## 212 medium 120 80 NA NA 34 43 60 160.0 74.4
## 213 medium 178 88 160 82 45 46 180 165.1 91.2
## 214 medium 122 74 NA NA 38 38 180 190.5 84.4
## 215 small 110 76 NA NA 30 35 180 185.4 78.9
## 216 small NA NA NA NA 32 37 NA 162.6 61.7
## 217 small 125 64 NA NA 26 33 720 157.5 47.6
## 218 small 137 74 NA NA 33 35 720 175.3 59.0
## 219 medium 130 70 NA NA 32 38 60 160.0 56.2
## 220 medium 180 86 NA NA 41 46 720 160.0 77.1
## 221 small 130 70 NA NA 31 40 90 157.5 60.8
## 222 small 102 56 NA NA 33 42 720 165.1 74.8
## 223 large 130 73 NA NA 38 41 240 170.2 86.6
## 224 medium 152 100 140 100 37 43 60 165.1 79.4
## 225 170 90 150 100 39 47 240 154.9 81.6
## 226 medium 118 78 NA NA 35 39 120 172.7 64.4
## 227 large 160 66 150 80 34 41 720 154.9 66.7
## 228 small 150 110 150 90 28 37 270 167.6 49.9
## 229 large 165 115 160 96 40 43 720 175.3 92.5
## 230 medium 142 100 144 110 38 46 210 160.0 82.1
## 231 medium 132 86 NA NA 37 41 210 177.8 84.8
## 232 large 140 75 NA NA 38 44 720 NA 86.2
## 233 large 184 76 180 84 37 42 60 177.8 82.1
## 234 medium 176 110 150 102 35 37 60 170.2 63.5
## 235 large 150 74 146 76 46 49 30 170.2 91.2
## 236 medium 170 96 178 96 38 42 90 172.7 88.9
## 237 medium 130 80 NA NA 32 40 15 160.0 69.4
## 238 small 122 68 NA NA 38 39 300 172.7 77.1
## 239 large 116 53 NA NA 40 41 180 167.6 85.3
## 240 large 158 98 159 80 45 48 180 149.9 81.2
## 241 large 122 90 NA NA 48 49 720 182.9 117.5
## 242 medium 140 65 NA NA 41 47 180 167.6 90.7
## 243 medium 123 82 NA NA 35 39 900 180.3 73.5
## 244 large 118 78 NA NA 33 40 720 157.5 64.0
## 245 medium 131 75 NA NA 36 39 20 172.7 83.0
## 246 medium 108 58 NA NA 30 44 240 170.2 72.6
## 247 small 136 86 NA NA 29 40 240 165.1 54.4
## 248 small 121 75 NA NA 32 35 60 165.1 65.8
## 249 large 162 75 NA NA 38 44 300 162.6 78.9
## 250 medium 100 72 NA NA 45 58 180 160.0 114.3
## 251 medium 108 58 NA NA 33 40 240 152.4 61.2
## 252 small 150 78 NA NA 33 41 900 160.0 70.3
## 253 medium 120 75 NA NA 40 42 720 160.0 81.2
## 254 large 100 60 NA NA 40 45 540 180.3 95.7
## 255 small 105 82 NA NA 31 37 720 157.5 52.2
## 256 medium 125 70 NA NA 41 47 720 167.6 86.2
## 257 large 175 80 152 102 55 62 300 160.0 131.5
## 258 medium 140 89 NA NA 36 39 720 180.3 76.2
## 259 large 118 66 NA NA 47 52 360 167.6 115.7
## 260 medium 150 99 130 80 37 41 360 175.3 93.0
## 261 medium 150 98 142 90 42 47 60 185.4 117.9
## 262 medium 142 79 NA NA 43 51 120 182.9 113.4
## 263 large 106 82 NA NA 39 38 420 175.3 75.3
## 264 medium 130 82 NA NA 35 42 240 160.0 77.1
## 265 large 140 65 NA NA 42 39 270 175.3 82.6
## 266 large 140 70 NA NA 34 44 60 160.0 79.8
## 267 medium 108 76 NA NA 34 42 90 162.6 65.8
## 268 large 130 82 NA NA 40 40 60 167.6 78.0
## 269 large 150 99 150 85 50 49 840 180.3 125.6
## 270 medium 138 90 NA NA 36 47 90 175.3 75.8
## 271 small 130 96 130 90 39 41 480 175.3 93.0
## 272 medium 122 96 126 96 38 40 NA 170.2 83.0
## 273 small 118 61 NA NA 26 37 240 165.1 55.8
## 274 small 121 75 NA NA 31 36 720 160.0 58.1
## 275 medium 120 80 NA NA 43 45 720 165.1 83.0
## 276 small 125 60 NA NA 30 36 720 157.5 44.9
## 277 large 136 70 NA NA 45 49 150 182.9 122.5
## 278 small 140 90 NA NA 31 39 330 152.4 62.6
## 279 large 142 98 142 96 50 60 690 160.0 129.3
## 280 medium 130 78 NA NA 38 42 720 172.7 81.6
## 281 large 150 81 NA NA 36 45 300 160.0 72.6
## 282 medium 131 75 NA NA 34 39 120 180.3 77.1
## 283 127 71 NA NA 43 47 600 154.9 83.9
## 284 medium 126 78 NA NA 36 40 795 177.8 73.9
## 285 medium 148 82 158 80 38 49 135 132.1 84.8
## 286 small 140 86 128 74 33 39 240 154.9 58.1
## 287 small 106 82 NA NA 36 44 10 157.5 69.4
## 288 medium 132 80 NA NA 31 39 480 157.5 56.7
## 289 small 110 68 NA NA 31 39 10 175.3 70.3
## 290 medium 220 100 202 98 45 54 375 162.6 101.2
## 291 medium 180 110 190 114 37 40 30 177.8 73.0
## 292 large 100 70 NA NA 41 44 30 170.2 98.0
## 293 medium 212 114 210 112 38 46 150 160.0 81.2
## 294 medium 134 74 NA NA 44 47 270 172.7 103.0
## 295 medium 162 88 150 80 38 39 570 175.3 72.1
## 296 small 122 62 NA NA 32 38 720 188.0 77.1
## 297 small 138 80 NA NA 32 38 30 167.6 62.6
## 298 small 112 78 NA NA 28 35 120 160.0 51.7
## 299 medium 128 90 138 90 48 53 330 162.6 108.4
## 300 medium 148 92 138 84 38 46 10 157.5 78.9
## 301 small 130 76 NA NA 35 46 5 165.1 85.3
## 302 small 110 64 NA NA 40 49 60 165.1 89.8
## 303 small 122 64 NA NA 31 39 90 162.6 51.7
## 304 medium 136 86 NA NA 41 52 105 172.7 102.1
## 305 medium 172 124 176 124 33 40 30 160.0 64.9
## 306 medium 138 78 NA NA 36 48 1260 170.2 66.2
## 307 small 122 86 NA NA 32 39 390 177.8 64.0
## 308 small 120 68 NA NA 33 40 420 165.1 68.5
## 309 medium 110 80 NA NA 49 58 15 162.6 112.5
## 310 small 138 76 NA NA 33 38 420 188.0 68.9
## 311 small 138 84 NA NA 32 40 270 152.4 59.0
## 312 medium 250 100 NA NA 41 46 60 157.5 74.8
## 313 medium 138 88 NA NA 39 40 45 177.8 81.6
## 314 medium 116 76 NA NA 34 39 180 180.3 73.9
## 315 large 150 92 130 86 37 42 390 167.6 81.2
## 316 medium 138 84 NA NA 36 42 150 154.9 70.8
## 317 small 110 64 NA NA 31 38 15 162.6 59.0
## 318 small 120 60 NA NA 40 47 300 NA 72.6
## 319 medium 130 75 NA NA 44 47 720 175.3 95.3
## 320 small 148 81 NA NA 31 37 240 185.4 74.4
## 321 small 135 88 NA NA 30 34 15 167.6 52.2
## 322 small 140 94 130 95 36 43 330 157.5 72.1
## 323 small 110 58 NA NA 33 38 120 182.9 64.0
## 324 small 145 72 142 70 35 39 30 175.3 76.7
## 325 large 142 81 NA NA 43 49 480 177.8 82.1
## 326 small 118 62 NA NA 35 41 180 182.9 81.6
## 327 medium 131 111 130 80 42 46 300 167.6 94.8
## 328 140 112 138 89 37 42 30 180.3 95.3
## 329 large 140 87 NA NA 53 56 240 157.5 107.5
## 330 small 140 70 NA NA 35 38 150 175.3 73.9
## 331 medium 130 75 NA NA 40 41 180 188.0 83.9
## 332 small 128 94 124 96 39 43 270 170.2 81.6
## 333 142 78 141 80 47 58 10 160.0 111.1
## 334 small 136 88 NA NA 33 39 300 177.8 68.0
## 335 medium 128 82 NA NA 37 43 240 162.6 66.2
## 336 medium 110 60 NA NA 34 37 20 172.7 65.8
## 337 medium 108 68 NA NA NA NA 330 157.5 64.4
## 338 medium 152 92 162 92 42 49 20 162.6 89.8
## 339 small 90 48 NA NA 35 38 240 162.6 67.1
## 340 medium 122 90 NA NA 43 46 150 165.1 90.7
## 341 large 140 75 NA NA 39 44 300 175.3 86.2
## 342 large 126 80 NA NA 38 46 540 160.0 82.6
## 343 small 130 82 NA NA 40 52 240 154.9 99.8
## 344 medium 135 100 170 98 39 47 150 162.6 81.2
## 345 small 122 74 NA NA 48 51 150 170.2 96.2
## 346 medium 135 80 NA NA 34 46 30 152.4 74.8
## 347 medium 162 108 158 110 47 55 60 167.6 116.6
## 348 large 140 72 NA NA 39 41 195 175.3 83.5
## 349 110 80 NA NA 41 45 90 180.3 83.0
## 350 large 172 110 168 108 41 45 180 170.2 98.9
## 351 medium 138 92 135 88 32 37 450 185.4 81.2
## 352 medium 142 90 142 92 42 54 225 162.6 103.4
## 353 large 130 100 170 114 48 51 75 175.3 131.1
## 354 small 140 98 142 102 36 40 195 175.3 69.4
## 355 large 178 100 170 96 47 52 210 170.2 106.6
## 356 medium 162 90 152 90 33 42 180 152.4 65.3
## 357 large 134 78 NA NA 43 46 195 165.1 83.0
## 358 small 124 94 110 74 35 38 330 170.2 69.9
## 359 large 142 96 142 98 43 45 285 175.3 98.0
## 360 small 120 80 NA NA 41 42 240 170.2 82.1
## 361 small 140 90 140 90 43 47 150 167.6 91.6
## 362 small 124 82 NA NA 37 45 15 162.6 72.6
## 363 medium 130 72 NA NA 36 41 60 149.9 55.8
## 364 small 100 50 NA NA 41 50 210 165.1 89.4
## 365 small 144 88 146 82 41 48 210 152.4 87.1
## 366 medium 110 72 NA NA 40 45 1440 170.2 84.8
## 367 medium 156 88 158 86 47 48 390 180.3 96.2
## 368 medium 148 98 130 100 40 42 900 175.3 84.4
## 369 small 160 100 160 100 44 41 1440 157.5 73.5
## 370 small 110 70 NA NA 33 38 90 162.6 54.4
## 371 small 122 80 NA NA 37 41 260 167.6 68.9
## 372 medium 140 100 136 100 44 53 240 147.3 95.3
## 373 medium 140 100 136 92 32 42 270 149.9 67.1
## 374 medium 140 100 138 82 34 46 270 147.3 77.1
## 375 small 125 80 NA NA 33 37 180 172.7 71.2
## 376 small 170 96 160 94 30 37 15 175.3 58.5
## 377 large 144 82 144 80 38 43 480 177.8 95.7
## 378 medium 124 84 NA NA 36 44 240 182.9 85.7
## 379 medium 170 110 166 108 30 33 780 177.8 54.4
## 380 medium 110 64 NA NA 32 34 300 160.0 54.9
## 381 120 98 122 100 32 41 60 142.2 54.4
## 382 large 142 79 NA NA 36 38 900 172.7 76.7
## 383 small 140 90 138 84 42 46 40 157.5 84.4
## 384 medium 130 94 130 88 42 48 450 177.8 118.8
## 385 medium 120 84 NA NA 40 44 1020 182.9 100.7
## 386 medium 128 82 NA NA 41 51 210 170.2 100.7
## 387 medium 140 96 148 100 37 47 60 157.5 81.2
## 388 large 174 90 174 84 48 50 180 172.7 101.6
## 389 small 118 78 NA NA 31 38 180 182.9 74.8
## 390 large 146 94 149 94 39 41 30 167.6 83.9
## 391 medium 144 94 142 92 34 42 480 157.5 66.7
## 392 medium 130 78 NA NA 39 45 60 157.5 80.3
## 393 large 110 70 NA NA 38 39 540 167.6 65.8
## 394 large 130 110 170 118 NA NA 60 165.1 66.2
## 395 medium 140 95 130 94 40 42 60 152.4 69.9
## 396 medium 190 94 172 100 33 39 480 167.6 61.7
## 397 medium 132 90 126 80 38 42 330 167.6 76.2
## 398 medium 218 90 238 90 31 41 210 154.9 52.2
## 399 medium 138 94 130 94 35 39 210 175.3 78.5
## 400 medium 140 100 146 102 32 43 180 160.0 69.9
## 401 small 120 70 NA NA 33 40 20 175.3 75.8
## 402 medium 120 78 NA NA 41 48 255 160.0 89.4
## 403 medium 100 72 NA NA 49 58 900 162.6 99.8
## waist_cm hip_cm BMI BMI_class gender_num BFP
## 1 73.7 96.5 22.13152 Normal weight 0 31.73782
## 2 116.8 121.9 37.40720 Obese 0 46.15864
## 3 124.5 144.8 48.38708 Obese 0 66.00449
## 4 83.8 96.5 18.64123 Normal weight 1 21.57948
## 5 111.8 104.1 27.82873 Overweight 1 31.91448
## 6 91.4 106.7 26.51648 Overweight 1 23.43977
## 7 116.8 124.5 28.18085 Overweight 1 24.51702
## 8 86.4 99.1 34.31240 Obese 1 33.48488
## 9 86.4 101.6 24.50367 Normal weight 1 23.55440
## 10 114.3 127.0 35.78125 Obese 0 50.18750
## 11 99.1 114.3 25.97402 Overweight 0 39.56882
## 12 106.7 127.0 40.78850 Obese 0 52.28620
## 13 88.9 104.1 33.19590 Obese 0 40.64508
## 14 94.0 109.2 33.28881 Obese 0 43.74658
## 15 91.4 101.6 27.00936 Overweight 1 24.49123
## 16 94.0 104.1 26.12076 Overweight 0 33.53491
## 17 94.0 109.2 30.44977 Obese 0 42.63972
## 18 78.7 99.1 24.88950 Normal weight 1 18.26740
## 19 76.2 86.4 21.63490 Normal weight 1 18.04188
## 20 116.8 129.5 32.61427 Obese 0 47.99712
## 21 106.7 104.1 27.85829 Overweight 1 33.32995
## 22 114.3 116.8 36.00520 Obese 1 37.81624
## 23 121.9 139.7 42.49906 Obese 0 54.33887
## 24 121.9 111.8 33.82212 Obese 0 50.36655
## 25 83.8 96.5 21.38034 Normal weight 0 25.77640
## 26 71.1 91.4 15.99287 Underweight 0 23.22144
## 27 109.2 119.4 38.32318 Obese 1 38.29782
## 28 68.6 83.8 15.22198 Underweight 1 13.10638
## 29 78.7 96.5 26.52557 Overweight 0 36.32069
## 30 94.0 99.1 27.10924 Overweight 1 25.53109
## 31 94.0 101.6 28.94562 Overweight 0 38.99474
## 32 73.7 88.9 21.15654 Normal weight 1 21.14785
## 33 99.1 104.1 24.50204 Normal weight 1 27.23244
## 34 124.5 109.2 25.67516 Overweight 0 39.44019
## 35 81.3 86.4 19.04609 Normal weight 1 12.40530
## 36 99.1 111.8 30.04654 Obese 0 41.46584
## 37 78.7 88.9 25.66772 Overweight 1 22.65126
## 38 116.8 124.5 27.80069 Overweight 1 27.74083
## 39 78.7 91.4 20.24112 Normal weight 1 21.19934
## 40 114.3 121.9 31.59769 Obese 1 37.81723
## 41 88.9 101.6 25.84572 Overweight 0 30.67486
## 42 101.6 109.2 31.08088 Obese 0 43.85705
## 43 101.6 106.7 30.06762 Obese 1 28.16114
## 44 109.2 124.5 31.63384 Obese 1 31.65061
## 45 101.6 101.6 27.63684 Overweight 0 44.32420
## 46 124.5 144.8 39.97918 Obese 0 51.08502
## 47 106.7 106.7 25.82156 Overweight 0 38.00587
## 48 106.7 109.2 30.68899 Obese 1 34.42679
## 49 101.6 111.8 29.93615 Overweight 0 39.72339
## 50 109.2 132.1 35.35096 Obese 0 49.67115
## 51 94.0 104.1 25.64384 Overweight 1 32.05261
## 52 91.4 116.8 31.05289 Obese 0 41.75347
## 53 109.2 119.4 35.34215 Obese 0 51.96058
## 54 99.1 111.8 28.67003 Overweight 0 39.35403
## 55 129.5 137.2 42.96953 Obese 0 62.26344
## 56 124.5 147.3 41.67604 Obese 0 49.21125
## 57 96.5 104.1 27.35933 Overweight 1 30.89120
## 58 129.5 129.5 39.66742 Obese 0 63.36091
## 59 109.2 119.4 34.54775 Obese 0 47.32729
## 60 101.6 114.3 30.82974 Obese 0 41.71569
## 61 106.7 121.9 32.42187 Obese 0 50.52625
## 62 86.4 101.6 23.09188 Normal weight 1 19.79026
## 63 109.2 121.9 33.72048 Obese 0 46.79457
## 64 78.7 88.9 NA <NA> 0 NA
## 65 88.9 99.1 23.66127 Normal weight 1 19.32353
## 66 71.1 81.3 21.63490 Normal weight 0 27.00188
## 67 71.1 88.9 25.03401 Overweight 0 29.70082
## 68 86.4 106.7 29.21875 Overweight 0 45.99250
## 69 78.7 83.8 19.29648 Normal weight 0 35.23578
## 70 88.9 96.5 24.00599 Normal weight 0 44.33719
## 71 104.1 99.1 29.86949 Overweight 1 28.84339
## 72 111.8 119.4 36.15349 Obese 0 43.27419
## 73 94.0 101.6 27.61098 Overweight 0 32.33317
## 74 109.2 137.2 40.16725 Obese 0 52.00070
## 75 78.7 88.9 17.74581 Underweight 1 17.05498
## 76 88.9 101.6 27.94311 Overweight 0 45.61173
## 77 94.0 114.3 33.45931 Obese 0 45.33117
## 78 91.4 101.6 24.83168 Normal weight 1 24.63802
## 79 116.8 127.0 31.13071 Obese 0 37.01685
## 80 96.5 104.1 27.30469 Overweight 0 40.70562
## 81 104.1 106.7 28.88882 Overweight 1 26.28658
## 82 101.6 111.8 26.47746 Overweight 0 40.40295
## 83 96.5 104.1 26.38687 Overweight 1 24.66424
## 84 96.5 114.3 34.30569 Obese 0 42.20683
## 85 94.0 101.6 27.42351 Overweight 0 39.69821
## 86 94.0 104.1 27.85829 Overweight 1 32.63995
## 87 106.7 134.6 NA <NA> 0 NA
## 88 101.6 124.5 37.49055 Obese 0 50.85866
## 89 94.0 106.7 27.61401 Overweight 0 42.68681
## 90 91.4 104.1 27.44772 Overweight 1 29.15727
## 91 86.4 101.6 25.71643 Overweight 1 23.39972
## 92 83.8 104.1 28.16406 Overweight 0 43.11687
## 93 73.7 76.2 20.79686 Normal weight 0 28.98623
## 94 91.4 109.2 30.10868 Obese 1 35.34041
## 95 88.9 111.8 28.96295 Overweight 0 35.56554
## 96 71.1 99.1 25.15625 Overweight 0 29.61750
## 97 73.7 99.1 28.08187 Overweight 0 37.72825
## 98 88.9 99.1 27.65625 Overweight 0 38.59750
## 99 101.6 127.0 36.61309 Obese 0 52.56571
## 100 106.7 109.2 30.86160 Obese 1 35.78392
## 101 106.7 116.8 35.42969 Obese 0 43.55562
## 102 86.4 99.1 22.74644 Normal weight 1 20.52572
## 103 106.7 129.5 38.38458 Obese 0 49.17150
## 104 91.4 101.6 25.10144 Overweight 1 25.42173
## 105 91.4 99.1 28.34041 Overweight 0 41.71849
## 106 101.6 104.1 31.01395 Obese 1 27.45674
## 107 104.1 106.7 31.31037 Obese 0 39.30244
## 108 88.9 101.6 25.23363 Overweight 0 43.97036
## 109 99.1 104.1 23.66127 Normal weight 1 30.36353
## 110 94.0 106.7 24.38882 Normal weight 1 28.70659
## 111 99.1 111.8 30.43067 Obese 1 27.67681
## 112 104.1 111.8 30.79001 Obese 1 26.72801
## 113 78.7 96.5 22.12815 Normal weight 1 18.63378
## 114 86.4 109.2 29.84255 Overweight 0 42.60106
## 115 81.3 96.5 22.50562 Normal weight 0 25.97674
## 116 86.4 99.1 23.09942 Normal weight 1 26.00930
## 117 99.1 121.9 40.74219 Obese 0 56.83062
## 118 83.8 101.6 28.00781 Overweight 0 40.39937
## 119 129.5 162.6 37.73783 Obese 1 40.58540
## 120 78.7 101.6 21.77919 Normal weight 1 19.36503
## 121 81.3 88.9 17.20820 Underweight 1 15.48984
## 122 96.5 109.2 26.92623 Overweight 0 40.48147
## 123 78.7 99.1 23.04767 Normal weight 1 19.27720
## 124 86.4 106.7 28.00781 Overweight 0 42.69937
## 125 81.3 101.6 19.97369 Normal weight 1 13.05843
## 126 99.1 109.2 28.13852 Overweight 0 33.19622
## 127 111.8 127.0 39.10777 Obese 0 46.81932
## 128 83.8 91.4 22.14844 Normal weight 0 29.45813
## 129 121.9 129.5 43.24219 Obese 0 62.82062
## 130 111.8 119.4 31.40757 Obese 1 36.20908
## 131 94.0 101.6 24.01777 Normal weight 0 33.31132
## 132 119.4 134.6 35.55643 Obese 0 44.39771
## 133 101.6 109.2 27.45968 Overweight 0 37.67162
## 134 96.5 111.8 27.80834 Overweight 0 41.77001
## 135 134.6 157.5 55.75148 Obese 0 71.39178
## 136 81.3 96.5 21.44531 Normal weight 0 31.37438
## 137 86.4 96.5 19.38094 Normal weight 1 19.93713
## 138 109.2 121.9 34.93505 Obese 0 49.17206
## 139 124.5 114.3 37.12922 Obese 1 39.62506
## 140 96.5 109.2 27.72020 Overweight 1 30.40425
## 141 83.8 116.8 30.11719 Obese 0 38.33062
## 142 81.3 104.1 22.19593 Normal weight 0 32.27511
## 143 78.7 83.8 19.54449 Normal weight 0 33.23339
## 144 94.0 101.6 27.44772 Overweight 1 30.30727
## 145 83.8 96.5 23.64675 Normal weight 0 33.32610
## 146 83.8 99.1 22.17909 Normal weight 1 22.37491
## 147 73.7 83.8 18.00387 Underweight 1 22.88464
## 148 129.5 124.5 39.73069 Obese 1 39.75683
## 149 99.1 104.1 29.26682 Overweight 0 39.15018
## 150 73.7 91.4 19.66973 Normal weight 1 12.00368
## 151 142.2 124.5 44.66580 Obese 1 48.89897
## 152 101.6 114.3 29.79088 Overweight 0 40.23906
## 153 94.0 109.2 26.30852 Overweight 1 34.23022
## 154 99.1 104.1 24.95925 Normal weight 1 21.80110
## 155 116.8 137.2 38.59416 Obese 0 51.72299
## 156 111.8 114.3 31.95275 Obese 1 39.39330
## 157 88.9 99.1 19.49046 Normal weight 1 21.44855
## 158 91.4 106.7 26.52557 Overweight 0 33.56069
## 159 101.6 114.3 30.84190 Obese 1 32.31028
## 160 116.8 137.2 41.18939 Obese 0 52.99726
## 161 132.1 147.3 45.46033 Obese 1 45.94239
## 162 76.2 94.0 NA <NA> 1 NA
## 163 91.4 109.2 27.11927 Overweight 0 45.77313
## 164 99.1 119.4 34.96220 Obese 0 42.76464
## 165 76.2 91.4 21.10538 Normal weight 0 30.73645
## 166 73.7 88.9 19.04609 Normal weight 0 25.04530
## 167 91.4 99.1 25.41467 Overweight 1 29.70761
## 168 94.0 116.8 23.25694 Normal weight 0 32.16832
## 169 99.1 109.2 28.00781 Overweight 0 33.03937
## 170 96.5 106.7 24.13969 Normal weight 0 35.29763
## 171 71.1 94.0 21.09375 Normal weight 0 26.12250
## 172 132.1 149.9 44.15211 Obese 0 59.31253
## 173 96.5 101.6 25.25212 Overweight 1 30.43255
## 174 94.0 104.1 25.38229 Overweight 1 25.75875
## 175 83.8 99.1 22.96573 Normal weight 0 34.57887
## 176 96.5 94.0 24.67041 Normal weight 1 26.97449
## 177 96.5 114.3 30.50934 Obese 0 44.78121
## 178 101.6 119.4 41.16598 Obese 0 53.19918
## 179 116.8 111.8 34.71016 Obese 1 38.79219
## 180 114.3 116.8 27.80834 Overweight 1 33.73001
## 181 114.3 116.8 30.50934 Obese 0 46.39121
## 182 86.4 104.1 24.39286 Normal weight 1 18.36143
## 183 83.8 114.3 27.44148 Overweight 0 37.18977
## 184 94.0 111.8 24.97840 Normal weight 1 23.66408
## 185 111.8 106.7 30.10079 Obese 1 37.17095
## 186 101.6 134.6 41.28906 Obese 0 59.09687
## 187 94.0 109.2 29.31578 Overweight 1 26.79894
## 188 91.4 109.2 27.22399 Overweight 1 24.97879
## 189 104.1 119.4 35.27344 Obese 0 50.95812
## 190 99.1 114.3 31.73371 Obese 0 40.96045
## 191 81.3 96.5 23.02538 Normal weight 0 32.58045
## 192 73.7 94.0 22.50562 Normal weight 0 37.24674
## 193 94.0 101.6 27.62573 Overweight 1 30.06087
## 194 99.1 111.8 33.66087 Obese 0 44.42305
## 195 94.0 109.2 24.75142 Normal weight 1 29.14170
## 196 94.0 96.5 NA <NA> 0 NA
## 197 86.4 96.5 22.30537 Normal weight 0 39.53644
## 198 127.0 119.4 40.54858 Obese 1 46.71830
## 199 111.8 121.9 37.80110 Obese 0 54.45132
## 200 81.3 83.8 20.08677 Normal weight 1 20.55413
## 201 76.2 94.0 20.19531 Normal weight 0 31.48438
## 202 86.4 109.2 32.72572 Obese 0 40.08087
## 203 114.3 121.9 31.95275 Obese 1 37.32330
## 204 119.4 114.3 30.71248 Obese 0 45.94498
## 205 83.8 86.4 18.12311 Underweight 1 23.48774
## 206 73.7 83.8 30.23147 Obese 1 35.71776
## 207 83.8 96.5 23.42491 Normal weight 1 19.03989
## 208 111.8 119.4 30.55682 Obese 0 45.98818
## 209 94.0 109.2 27.22522 Overweight 0 36.47026
## 210 101.6 106.7 25.50781 Overweight 0 39.23937
## 211 73.7 88.9 19.19942 Normal weight 1 13.27931
## 212 86.4 109.2 29.06250 Overweight 0 37.29500
## 213 114.3 116.8 33.45806 Obese 0 49.23967
## 214 96.5 96.5 23.25694 Normal weight 1 24.35832
## 215 76.2 88.9 22.95396 Normal weight 1 17.32475
## 216 81.3 94.0 23.33695 Normal weight 0 30.88434
## 217 66.0 83.8 19.18871 Normal weight 0 26.82646
## 218 83.8 88.9 19.19942 Normal weight 1 17.18931
## 219 81.3 96.5 21.95312 Normal weight 0 36.58375
## 220 104.1 116.8 30.11719 Obese 0 49.60062
## 221 78.7 101.6 24.50995 Normal weight 0 37.81194
## 222 83.8 106.7 27.44148 Overweight 0 34.42977
## 223 96.5 104.1 29.89502 Overweight 1 29.10402
## 224 94.0 109.2 29.12905 Overweight 0 41.97486
## 225 99.1 119.4 34.00849 Obese 0 51.97019
## 226 88.9 99.1 21.59241 Normal weight 1 20.52090
## 227 86.4 104.1 27.79860 Overweight 0 39.45833
## 228 71.1 94.0 17.76448 Underweight 0 27.64738
## 229 101.6 109.2 30.10079 Obese 1 30.27095
## 230 96.5 116.8 32.07031 Obese 0 41.82437
## 231 94.0 104.1 26.82454 Overweight 1 20.58945
## 232 96.5 111.8 NA <NA> 0 NA
## 233 94.0 106.7 25.97046 Overweight 1 29.45455
## 234 88.9 94.0 21.92071 Normal weight 1 21.60485
## 235 116.8 124.5 31.48297 Obese 0 42.49957
## 236 96.5 106.7 29.80692 Overweight 1 30.60830
## 237 81.3 101.6 27.10937 Overweight 0 36.56125
## 238 96.5 99.1 25.85054 Overweight 1 21.49065
## 239 101.6 104.1 30.36694 Obese 1 37.72033
## 240 114.3 121.9 36.13706 Obese 0 53.83447
## 241 121.9 124.5 35.12452 Obese 1 31.92943
## 242 104.1 119.4 32.28935 Obese 0 49.44722
## 243 88.9 99.1 22.60976 Normal weight 1 16.68171
## 244 83.8 101.6 25.79995 Overweight 0 35.21994
## 245 91.4 99.1 27.82873 Overweight 1 30.07448
## 246 76.2 111.8 25.06210 Overweight 0 31.80452
## 247 73.7 101.6 19.95744 Normal weight 0 25.67892
## 248 81.3 88.9 24.13969 Normal weight 0 29.77763
## 249 96.5 111.8 29.84255 Overweight 0 47.20106
## 250 114.3 147.3 44.64844 Obese 0 55.53812
## 251 83.8 101.6 26.35005 Overweight 0 30.59006
## 252 83.8 104.1 27.46094 Overweight 0 43.88312
## 253 101.6 106.7 31.71875 Obese 0 38.87250
## 254 101.6 114.3 29.43883 Overweight 1 26.25659
## 255 78.7 94.0 21.04308 Normal weight 0 24.45170
## 256 104.1 119.4 30.68734 Obese 0 38.55481
## 257 139.7 157.5 51.36719 Obese 0 70.50062
## 258 91.4 99.1 23.44032 Normal weight 1 22.04838
## 259 119.4 132.1 41.18939 Obese 0 52.30726
## 260 94.0 104.1 30.26350 Obese 1 28.39620
## 261 106.7 119.4 34.30002 Obese 1 35.77002
## 262 109.2 129.5 33.89890 Obese 1 31.37868
## 263 99.1 96.5 24.50367 Normal weight 1 27.69440
## 264 88.9 106.7 30.11719 Obese 0 41.78062
## 265 106.7 99.1 26.87919 Overweight 1 31.00503
## 266 86.4 111.8 31.17187 Obese 0 45.57625
## 267 86.4 106.7 24.88770 Normal weight 0 32.97524
## 268 101.6 101.6 27.76813 Overweight 1 35.06175
## 269 127.0 124.5 38.63654 Obese 1 35.45384
## 270 91.4 119.4 24.66638 Normal weight 0 32.93965
## 271 99.1 104.1 30.26350 Obese 1 28.85620
## 272 96.5 101.6 28.65227 Overweight 1 27.61272
## 273 66.0 94.0 20.47105 Normal weight 0 25.83526
## 274 78.7 91.4 22.69531 Normal weight 0 33.10437
## 275 109.2 114.3 30.44977 Obese 0 36.42972
## 276 76.2 91.4 18.10028 Underweight 0 22.99033
## 277 114.3 124.5 36.61919 Obese 1 36.94302
## 278 78.7 99.1 26.95283 Overweight 0 35.68340
## 279 127.0 152.4 50.50781 Obese 0 64.40937
## 280 96.5 106.7 27.35933 Overweight 1 23.30120
## 281 91.4 114.3 28.35937 Overweight 0 46.57125
## 282 86.4 99.1 23.71717 Normal weight 1 23.76061
## 283 109.2 119.4 34.96706 Obese 0 41.85047
## 284 91.4 101.6 23.37658 Normal weight 1 25.65189
## 285 96.5 124.5 48.59485 Obese 0 62.11382
## 286 83.8 99.1 24.21438 Normal weight 0 37.45725
## 287 91.4 111.8 27.97682 Overweight 0 37.37218
## 288 78.7 99.1 22.85714 Normal weight 0 28.92857
## 289 78.7 99.1 22.87660 Normal weight 1 16.08192
## 290 114.3 137.2 38.27714 Obese 0 55.02256
## 291 94.0 101.6 23.09188 Normal weight 1 26.00026
## 292 104.1 111.8 33.83039 Obese 1 34.28646
## 293 96.5 116.8 31.71875 Obese 0 43.24250
## 294 111.8 119.4 34.53445 Obese 1 39.96134
## 295 96.5 99.1 23.46235 Normal weight 1 24.83482
## 296 81.3 96.5 21.81417 Normal weight 1 18.02700
## 297 81.3 96.5 22.28570 Normal weight 0 34.91284
## 298 71.1 88.9 20.19531 Normal weight 0 23.89437
## 299 121.9 134.6 41.00041 Obese 0 53.69049
## 300 96.5 116.8 31.80650 Obese 0 38.74780
## 301 88.9 116.8 31.29355 Obese 0 41.58226
## 302 101.6 124.5 32.94444 Obese 0 44.02333
## 303 78.7 99.1 19.55462 Normal weight 0 22.66555
## 304 104.1 132.1 34.23269 Obese 0 42.11923
## 305 83.8 101.6 25.35156 Overweight 0 31.92187
## 306 91.4 121.9 22.85277 Normal weight 1 26.40333
## 307 81.3 99.1 20.24494 Normal weight 0 23.49393
## 308 83.8 101.6 25.13023 Overweight 0 32.11627
## 309 124.5 147.3 42.55116 Obese 0 54.40140
## 310 83.8 96.5 19.49411 Normal weight 1 21.22294
## 311 81.3 101.6 25.40283 Overweight 0 31.06339
## 312 104.1 116.8 30.15369 Obese 0 47.80443
## 313 99.1 101.6 25.81230 Overweight 1 31.33476
## 314 86.4 99.1 22.73280 Normal weight 1 15.90936
## 315 94.0 106.7 28.90733 Overweight 1 26.76880
## 316 91.4 106.7 29.50736 Overweight 0 39.66884
## 317 78.7 96.5 22.31572 Normal weight 0 36.55887
## 318 101.6 119.4 NA <NA> 0 NA
## 319 111.8 119.4 31.01195 Obese 0 41.70434
## 320 78.7 94.0 21.64479 Normal weight 1 22.88375
## 321 76.2 86.4 18.58328 Normal weight 1 16.44994
## 322 91.4 109.2 29.06526 Overweight 0 39.59831
## 323 83.8 96.5 19.13166 Normal weight 1 12.96799
## 324 88.9 99.1 24.95925 Normal weight 1 28.24110
## 325 109.2 124.5 25.97046 Overweight 1 29.91455
## 326 88.9 104.1 24.39286 Normal weight 1 19.97143
## 327 106.7 116.8 33.74895 Obese 1 30.73874
## 328 94.0 106.7 29.31578 Overweight 1 28.40894
## 329 134.6 142.2 43.33585 Obese 0 53.73302
## 330 88.9 96.5 24.04809 Normal weight 1 20.24771
## 331 101.6 104.1 23.73812 Normal weight 1 27.46574
## 332 99.1 109.2 28.16898 Overweight 0 34.84277
## 333 119.4 147.3 43.39844 Obese 0 52.42812
## 334 83.8 99.1 21.51025 Normal weight 1 15.59230
## 335 94.0 109.2 25.03900 Overweight 0 33.84679
## 336 86.4 94.0 22.06181 Normal weight 1 19.01418
## 337 NA NA 25.96120 Overweight 0 32.65344
## 338 106.7 124.5 33.96528 Obese 0 47.31834
## 339 88.9 96.5 25.37941 Overweight 0 30.11529
## 340 109.2 116.8 33.27462 Obese 0 46.25955
## 341 99.1 111.8 28.05068 Overweight 1 27.81082
## 342 96.5 116.8 32.26562 Obese 0 45.50875
## 343 101.6 132.1 41.59371 Obese 0 49.34246
## 344 99.1 119.4 30.71248 Obese 0 43.64498
## 345 121.9 129.5 33.20901 Obese 0 42.96081
## 346 86.4 116.8 32.20562 Obese 0 41.06674
## 347 119.4 139.7 41.50979 Obese 0 51.31175
## 348 99.1 104.1 27.17206 Overweight 1 33.42648
## 349 104.1 114.3 25.53211 Overweight 0 33.51853
## 350 104.1 114.3 34.14107 Obese 1 35.11929
## 351 81.3 94.0 23.62308 Normal weight 1 20.19770
## 352 106.7 137.2 39.10925 Obese 0 53.03110
## 353 121.9 129.5 42.66177 Obese 1 41.20412
## 354 91.4 101.6 22.58373 Normal weight 1 22.86047
## 355 119.4 132.1 36.79918 Obese 0 48.41901
## 356 83.8 106.7 28.11533 Overweight 1 26.50840
## 357 109.2 116.8 30.44977 Obese 1 37.12972
## 358 88.9 96.5 24.13004 Normal weight 1 19.19605
## 359 109.2 114.3 31.89057 Obese 1 34.25868
## 360 104.1 106.7 28.34158 Overweight 1 29.07990
## 361 109.2 119.4 32.60975 Obese 0 46.38170
## 362 94.0 114.3 27.45968 Overweight 0 36.06162
## 363 91.4 104.1 24.83310 Normal weight 0 38.19972
## 364 104.1 127.0 32.79770 Obese 0 46.83724
## 365 104.1 121.9 37.50146 Obese 0 58.92176
## 366 101.6 114.3 29.27364 Overweight 0 34.32837
## 367 119.4 121.9 29.59263 Overweight 1 37.71116
## 368 101.6 106.7 27.46494 Overweight 1 30.55792
## 369 111.8 104.1 29.62963 Overweight 0 48.55556
## 370 83.8 96.5 20.57585 Normal weight 0 25.96102
## 371 94.0 104.1 24.52851 Normal weight 0 33.92421
## 372 111.8 134.6 43.92254 Obese 0 61.79704
## 373 81.3 106.7 29.86202 Overweight 0 38.94443
## 374 86.4 116.8 35.53439 Obese 0 41.84127
## 375 83.8 94.0 23.87236 Normal weight 1 22.56683
## 376 76.2 94.0 19.03672 Normal weight 1 19.06406
## 377 96.5 109.2 30.27251 Obese 1 33.46701
## 378 91.4 111.8 25.61848 Overweight 1 22.59218
## 379 76.2 83.8 17.20820 Underweight 1 16.40984
## 380 81.3 86.4 21.44531 Normal weight 0 34.13437
## 381 81.3 104.1 26.90294 Overweight 0 36.77353
## 382 91.4 96.5 25.71643 Overweight 1 28.22972
## 383 106.7 116.8 34.02368 Obese 0 43.01842
## 384 106.7 121.9 37.57967 Obese 1 37.40560
## 385 101.6 111.8 30.10246 Obese 1 29.12296
## 386 104.1 129.5 34.76245 Obese 0 45.05494
## 387 94.0 119.4 32.73369 Obese 0 41.24042
## 388 121.9 127.0 34.06505 Obese 0 49.27806
## 389 78.7 96.5 22.36012 Normal weight 1 17.53215
## 390 99.1 104.1 29.86854 Overweight 1 29.30224
## 391 86.4 106.7 26.88838 Overweight 0 38.82606
## 392 99.1 114.3 32.37087 Obese 0 47.01505
## 393 96.5 99.1 23.42491 Normal weight 1 29.84989
## 394 NA NA 24.28644 Normal weight 1 24.67373
## 395 101.6 106.7 30.09589 Obese 0 36.46507
## 396 83.8 99.1 21.96530 Normal weight 1 18.66836
## 397 96.5 106.7 27.12732 Overweight 0 39.57279
## 398 78.7 104.1 21.75543 Normal weight 0 41.17652
## 399 88.9 99.1 25.54500 Overweight 1 26.64399
## 400 81.3 109.2 27.30469 Overweight 0 39.09562
## 401 83.8 101.6 24.66638 Normal weight 0 30.86965
## 402 104.1 121.9 34.92187 Obese 0 45.93625
## 403 124.5 147.3 37.74761 Obese 0 55.53713diabetes_5<- diabetes_4 %>% mutate(BFP=(1.2*diabetes_4$BMI)+ (0.23*diabetes_4$age) - (10.8*diabetes_4$gender_num)-5.4)
diabetes_5## id chol stab.glu hdl ratio glyhb location age gender height weight
## 1 1000 203 82 56 3.6 4.31 Buckingham 46 female 62 121
## 2 1001 165 97 24 6.9 4.44 Buckingham 29 female 64 218
## 3 1002 228 92 37 6.2 4.64 Buckingham 58 female 61 256
## 4 1003 78 93 12 6.5 4.63 Buckingham 67 male 67 119
## 5 1005 249 90 28 8.9 7.72 Buckingham 64 male 68 183
## 6 1008 248 94 69 3.6 4.81 Buckingham 34 male 71 190
## 7 1011 195 92 41 4.8 4.84 Buckingham 30 male 69 191
## 8 1015 227 75 44 5.2 3.94 Buckingham 37 male 59 170
## 9 1016 177 87 49 3.6 4.84 Buckingham 45 male 69 166
## 10 1022 263 89 40 6.6 5.78 Buckingham 55 female 63 202
## 11 1024 242 82 54 4.5 4.77 Louisa 60 female 65 156
## 12 1029 215 128 34 6.3 4.97 Louisa 38 female 58 195
## 13 1030 238 75 36 6.6 4.47 Louisa 27 female 60 170
## 14 1031 183 79 46 4.0 4.59 Louisa 40 female 59 165
## 15 1035 191 76 30 6.4 4.67 Louisa 36 male 69 183
## 16 1036 213 83 47 4.5 3.41 Louisa 33 female 65 157
## 17 1037 255 78 38 6.7 4.33 Louisa 50 female 65 183
## 18 1041 230 112 64 3.6 4.53 Louisa 20 male 67 159
## 19 1045 194 81 36 5.4 5.28 Louisa 36 male 64 126
## 20 1250 196 206 41 4.8 11.24 Buckingham 62 female 65 196
## 21 1252 186 97 50 3.7 6.49 Buckingham 70 male 67 178
## 22 1253 234 65 76 3.1 4.67 Buckingham 47 male 67 230
## 23 1254 203 299 43 4.7 12.74 Buckingham 38 female 69 288
## 24 1256 281 92 41 6.9 5.56 Buckingham 66 female 62 185
## 25 1271 228 66 45 5.1 4.61 Buckingham 24 female 61 113
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## frame bp.1s bp.1d bp.2s bp.2d waist hip time.ppn height_cm weight_kg
## 1 medium 118 59 NA NA 29 38 720 157.5 54.9
## 2 large 112 68 NA NA 46 48 360 162.6 98.9
## 3 large 190 92 185 92 49 57 180 154.9 116.1
## 4 large 110 50 NA NA 33 38 480 170.2 54.0
## 5 medium 138 80 NA NA 44 41 300 172.7 83.0
## 6 large 132 86 NA NA 36 42 195 180.3 86.2
## 7 medium 161 112 161 112 46 49 720 175.3 86.6
## 8 medium NA NA NA NA 34 39 1020 149.9 77.1
## 9 large 160 80 128 86 34 40 300 175.3 75.3
## 10 small 108 72 NA NA 45 50 240 160.0 91.6
## 11 medium 130 90 130 90 39 45 300 165.1 70.8
## 12 medium 102 68 NA NA 42 50 90 147.3 88.5
## 13 medium 130 80 NA NA 35 41 720 152.4 77.1
## 14 medium NA NA NA NA 37 43 60 149.9 74.8
## 15 medium 100 66 NA NA 36 40 225 175.3 83.0
## 16 medium 130 90 120 96 37 41 240 165.1 71.2
## 17 medium 130 100 NA NA 37 43 180 165.1 83.0
## 18 medium 100 90 NA NA 31 39 1440 170.2 72.1
## 19 medium 110 76 NA NA 30 34 120 162.6 57.2
## 20 large 178 90 NA NA 46 51 540 165.1 88.9
## 21 large 148 88 148 84 42 41 1020 170.2 80.7
## 22 large 137 100 149 110 45 46 480 170.2 104.3
## 23 large 136 83 NA NA 48 55 240 175.3 130.6
## 24 large 158 88 160 88 48 44 285 157.5 83.9
## 25 medium 100 70 110 70 33 38 210 154.9 51.3
## 26 small 144 112 NA NA 28 36 780 182.9 53.5
## 27 large 140 95 NA NA 43 47 420 172.7 114.3
## 28 small 120 85 NA NA 27 33 510 172.7 45.4
## 29 medium 125 70 NA NA 31 38 720 157.5 65.8
## 30 medium 180 122 170 112 37 39 450 177.8 85.7
## 31 medium 146 94 139 89 37 40 540 165.1 78.9
## 32 large 130 90 NA NA 29 35 780 172.7 63.1
## 33 medium 170 88 168 80 39 41 225 188.0 86.6
## 34 medium 176 86 180 90 49 43 330 175.3 78.9
## 35 medium 120 78 NA NA 32 34 720 167.6 53.5
## 36 medium 140 97 NA NA 39 44 780 167.6 84.4
## 37 medium 115 64 NA NA 31 35 720 167.6 72.1
## 38 medium NA NA NA NA 46 49 240 182.9 93.0
## 39 medium 124 64 NA NA 31 36 30 180.3 65.8
## 40 large 158 90 160 96 45 48 840 175.3 97.1
## 41 large 105 85 NA NA 35 40 720 167.6 72.6
## 42 medium 142 79 NA NA 40 43 720 157.5 77.1
## 43 large 149 89 136 88 40 42 30 170.2 87.1
## 44 large 124 80 NA NA 43 49 300 190.5 114.8
## 45 large 130 60 NA NA 40 40 90 149.9 62.1
## 46 medium 110 82 NA NA 49 57 90 162.6 105.7
## 47 medium 140 65 NA NA 42 42 150 170.2 74.8
## 48 medium 110 68 NA NA 42 43 450 170.2 88.9
## 49 medium 106 82 NA NA 40 44 780 165.1 81.6
## 50 medium 150 82 142 78 43 52 360 167.6 99.3
## 51 158 78 140 84 37 41 120 165.1 69.9
## 52 medium 104 90 NA NA 36 46 240 162.6 82.1
## 53 large 158 94 149 96 43 47 360 154.9 84.8
## 54 large 124 86 NA NA 39 44 270 162.6 75.8
## 55 medium 126 80 NA NA 51 54 780 152.4 99.8
## 56 small 165 110 153 100 49 58 60 172.7 124.3
## 57 large 141 81 NA NA 38 41 540 172.7 81.6
## 58 large 160 82 NA NA 51 51 180 157.5 98.4
## 59 large 130 90 NA NA 43 47 195 157.5 85.7
## 60 large 138 79 NA NA 40 45 720 167.6 86.6
## 61 large 159 99 160 103 42 48 300 160.0 83.0
## 62 medium 130 79 NA NA 34 40 720 177.8 73.0
## 63 medium 158 98 148 88 43 48 420 177.8 106.6
## 64 NA NA NA NA 31 35 120 NA 56.7
## 65 medium 121 71 NA NA 35 39 720 177.8 74.8
## 66 small 120 90 NA NA 28 32 180 162.6 57.2
## 67 medium 120 70 NA NA 28 35 960 157.5 62.1
## 68 medium 150 80 145 80 34 42 960 160.0 74.8
## 69 medium 160 60 160 60 31 33 1020 154.9 46.3
## 70 170 82 NA NA 35 38 120 154.9 57.6
## 71 medium 138 94 140 80 41 39 240 180.3 97.1
## 72 large 126 75 NA NA 44 47 420 175.3 111.1
## 73 medium 108 70 NA NA 37 40 120 162.6 73.0
## 74 medium 142 98 130 92 43 54 240 172.7 119.8
## 75 small 140 90 NA NA 31 35 300 190.5 64.4
## 76 large 156 78 144 76 35 40 1200 152.4 64.9
## 77 medium 130 86 NA NA 37 45 180 157.5 83.0
## 78 large 178 120 182 110 36 40 240 177.8 78.5
## 79 medium 120 75 NA NA 46 50 210 180.3 101.2
## 80 large 174 75 NA NA 38 41 180 160.0 69.9
## 81 medium 145 100 NA NA 41 42 270 185.4 99.3
## 82 small 138 78 NA NA 40 44 10 170.2 76.7
## 83 small 120 76 NA NA 38 41 210 185.4 90.7
## 84 medium 136 52 NA NA 38 45 60 162.6 90.7
## 85 medium 147 72 NA NA 37 40 420 154.9 65.8
## 86 large 119 68 NA NA 37 41 780 170.2 80.7
## 87 large 139 69 NA NA 42 53 720 NA 97.5
## 88 medium 120 80 NA NA 40 49 840 157.5 93.0
## 89 medium 125 64 NA NA 37 42 660 157.5 68.5
## 90 large 121 62 NA NA 36 41 420 167.6 77.1
## 91 large 138 79 NA NA 34 40 690 172.7 76.7
## 92 medium 151 85 148 79 33 41 1140 160.0 72.1
## 93 small 103 64 NA NA 29 30 120 154.9 49.9
## 94 large 119 72 NA NA 36 43 60 172.7 89.8
## 95 medium 110 90 NA NA 35 44 10 170.2 83.9
## 96 medium 125 85 117 68 28 39 900 160.0 64.4
## 97 medium 112 72 NA NA 29 39 1560 149.9 63.1
## 98 medium 142 102 156 106 35 39 120 160.0 70.8
## 99 large 160 92 150 98 40 50 20 165.1 99.8
## 100 medium 160 80 158 80 42 43 390 170.2 89.4
## 101 large 111 65 NA NA 42 46 780 160.0 90.7
## 102 large 136 96 130 94 34 39 600 175.3 69.9
## 103 large 136 84 NA NA 42 51 10 154.9 92.1
## 104 medium 136 90 126 84 36 40 45 180.3 81.6
## 105 small 115 68 NA NA 36 39 780 154.9 68.0
## 106 medium 130 90 NA NA 40 41 60 172.7 92.5
## 107 medium 110 90 NA NA 41 42 240 170.2 90.7
## 108 medium 150 90 156 88 35 40 300 149.9 56.7
## 109 170 90 170 100 39 41 240 177.8 74.8
## 110 large 130 73 NA NA 37 42 720 177.8 77.1
## 111 132 90 NA NA 39 44 NA 177.8 96.2
## 112 large 158 104 158 108 41 44 330 182.9 103.0
## 113 small 138 82 NA NA 31 38 60 175.3 68.0
## 114 medium 160 96 162 96 34 43 30 162.6 78.9
## 115 small 118 70 NA NA 32 38 300 154.9 54.0
## 116 medium 131 88 NA NA 34 39 30 185.4 79.4
## 117 large 141 99 NA NA 39 48 30 160.0 104.3
## 118 medium 139 79 NA NA 33 40 720 160.0 71.7
## 119 large 159 99 150 89 51 64 210 177.8 119.3
## 120 small 150 80 NA NA 31 40 120 180.3 70.8
## 121 small 150 105 150 100 32 35 120 177.8 54.4
## 122 small 150 102 150 100 38 43 300 170.2 78.0
## 123 medium 138 82 NA NA 31 39 1170 182.9 77.1
## 124 medium 160 68 158 74 34 42 240 160.0 71.7
## 125 small 124 78 NA NA 32 40 720 193.0 74.4
## 126 large 112 62 NA NA 39 43 180 165.1 76.7
## 127 medium 110 80 NA NA 44 50 10 165.1 106.6
## 128 medium 110 76 NA NA 33 36 240 160.0 56.7
## 129 large 170 92 NA NA 48 51 660 160.0 110.7
## 130 large 130 66 NA NA 44 47 180 180.3 102.1
## 131 small 180 110 210 110 37 40 225 162.6 63.5
## 132 medium 122 70 NA NA 47 53 140 170.2 103.0
## 133 small 130 88 NA NA 40 43 60 162.6 72.6
## 134 medium 132 72 NA NA 38 44 30 165.1 75.8
## 135 large 141 79 NA NA 53 62 60 162.6 147.4
## 136 small 111 62 NA NA 32 38 855 160.0 54.9
## 137 small 140 75 NA NA 34 38 90 188.0 68.5
## 138 medium 136 83 NA NA 43 48 960 170.2 101.2
## 139 large 150 98 NA NA 49 45 90 180.3 120.7
## 140 medium 162 78 156 82 38 43 315 170.2 80.3
## 141 medium 110 68 NA NA 33 46 210 160.0 77.1
## 142 small 145 95 NA NA 32 41 600 172.7 66.2
## 143 small 104 64 NA NA 31 33 30 167.6 54.9
## 144 medium 146 92 168 98 37 40 120 167.6 77.1
## 145 small 130 90 NA NA 33 38 1320 170.2 68.5
## 146 small 125 72 NA NA 33 39 750 180.3 72.1
## 147 medium 125 82 NA NA 29 33 60 162.6 47.6
## 148 large 140 86 NA NA 51 49 900 177.8 125.6
## 149 medium 126 90 NA NA 39 41 390 157.5 72.6
## 150 small 108 78 NA NA 29 36 1080 182.9 65.8
## 151 large 140 86 NA NA 56 49 30 180.3 145.2
## 152 large 135 88 NA NA 40 45 720 157.5 73.9
## 153 179 89 172 91 37 43 60 167.6 73.9
## 154 medium 139 90 136 86 39 41 720 175.3 76.7
## 155 large 120 86 NA NA 46 54 900 165.1 105.2
## 156 large 151 87 NA NA 44 45 15 172.7 95.3
## 157 large 150 80 NA NA 35 39 270 193.0 72.6
## 158 small 110 72 NA NA 36 42 720 157.5 65.8
## 159 large 138 89 137 79 40 45 720 177.8 97.5
## 160 medium 140 98 NA NA 46 54 210 167.6 115.7
## 161 large 110 90 NA NA 52 58 300 175.3 139.7
## 162 medium 125 69 NA NA 30 37 10 175.3 NA
## 163 medium 146 76 NA NA 36 43 10 162.6 71.7
## 164 medium 150 106 160 116 39 47 60 165.1 95.3
## 165 small 140 76 NA NA 30 36 300 162.6 55.8
## 166 small 98 66 NA NA 29 35 150 167.6 53.5
## 167 large 161 118 151 111 36 39 60 172.7 75.8
## 168 medium 125 90 NA NA 37 46 60 190.5 84.4
## 169 small 138 88 NA NA 39 43 180 160.0 71.7
## 170 small 230 120 235 120 38 42 60 165.1 65.8
## 171 small 122 86 NA NA 28 37 270 160.0 54.0
## 172 medium 142 78 136 84 52 59 420 170.2 127.9
## 173 large 136 86 NA NA 38 40 240 175.3 77.6
## 174 large 138 66 NA NA 37 41 210 175.3 78.0
## 175 small 132 80 NA NA 33 39 990 165.1 62.6
## 176 medium 148 76 148 78 38 37 90 185.4 84.8
## 177 medium 140 90 NA NA 38 45 90 167.6 85.7
## 178 small 118 69 NA NA 40 47 780 149.9 92.5
## 179 large 186 102 190 110 46 44 360 167.6 97.5
## 180 large 140 72 NA NA 45 46 480 165.1 75.8
## 181 medium 200 94 208 90 45 46 195 167.6 85.7
## 182 small 110 78 NA NA 34 41 60 182.9 81.6
## 183 small 118 68 NA NA 33 45 150 165.1 74.8
## 184 medium 146 98 136 96 37 44 30 180.3 81.2
## 185 large 136 90 NA NA 44 42 120 175.3 92.5
## 186 large 140 90 136 86 40 53 45 160.0 105.7
## 187 medium 142 92 148 98 37 43 90 180.3 95.3
## 188 medium 136 96 130 98 36 43 630 180.3 88.5
## 189 medium 180 96 176 94 41 47 720 160.0 90.3
## 190 medium 110 80 NA NA 39 45 300 162.6 83.9
## 191 medium 140 102 148 102 32 38 80 170.2 66.7
## 192 small 142 96 140 86 29 37 135 154.9 54.0
## 193 medium 132 82 NA NA 37 40 210 167.6 77.6
## 194 small 104 80 NA NA 39 44 10 157.5 83.5
## 195 small 138 82 NA NA 37 43 90 170.2 71.7
## 196 small 122 76 NA NA 37 38 360 NA 59.0
## 197 small 142 70 NA NA 34 38 240 165.1 60.8
## 198 large 118 72 NA NA 50 47 720 167.6 113.9
## 199 medium 190 110 170 90 44 48 720 154.9 90.7
## 200 medium 118 86 NA NA 32 33 120 177.8 63.5
## 201 small 180 105 165 105 30 37 15 160.0 51.7
## 202 medium 140 80 NA NA 34 43 780 170.2 94.8
## 203 large 160 78 158 84 45 48 60 172.7 95.3
## 204 medium 142 80 142 90 47 45 30 162.6 81.2
## 205 small 170 88 180 100 33 34 435 165.1 49.4
## 206 small 199 115 190 99 29 33 120 139.7 59.0
## 207 medium 131 79 NA NA 33 38 150 167.6 65.8
## 208 medium 190 118 NA NA 44 47 120 157.5 75.8
## 209 small 110 76 NA NA 37 43 60 172.7 81.2
## 210 medium 190 100 170 86 40 42 120 160.0 65.3
## 211 small 135 75 NA NA 29 35 720 175.3 59.0
## 212 medium 120 80 NA NA 34 43 60 160.0 74.4
## 213 medium 178 88 160 82 45 46 180 165.1 91.2
## 214 medium 122 74 NA NA 38 38 180 190.5 84.4
## 215 small 110 76 NA NA 30 35 180 185.4 78.9
## 216 small NA NA NA NA 32 37 NA 162.6 61.7
## 217 small 125 64 NA NA 26 33 720 157.5 47.6
## 218 small 137 74 NA NA 33 35 720 175.3 59.0
## 219 medium 130 70 NA NA 32 38 60 160.0 56.2
## 220 medium 180 86 NA NA 41 46 720 160.0 77.1
## 221 small 130 70 NA NA 31 40 90 157.5 60.8
## 222 small 102 56 NA NA 33 42 720 165.1 74.8
## 223 large 130 73 NA NA 38 41 240 170.2 86.6
## 224 medium 152 100 140 100 37 43 60 165.1 79.4
## 225 170 90 150 100 39 47 240 154.9 81.6
## 226 medium 118 78 NA NA 35 39 120 172.7 64.4
## 227 large 160 66 150 80 34 41 720 154.9 66.7
## 228 small 150 110 150 90 28 37 270 167.6 49.9
## 229 large 165 115 160 96 40 43 720 175.3 92.5
## 230 medium 142 100 144 110 38 46 210 160.0 82.1
## 231 medium 132 86 NA NA 37 41 210 177.8 84.8
## 232 large 140 75 NA NA 38 44 720 NA 86.2
## 233 large 184 76 180 84 37 42 60 177.8 82.1
## 234 medium 176 110 150 102 35 37 60 170.2 63.5
## 235 large 150 74 146 76 46 49 30 170.2 91.2
## 236 medium 170 96 178 96 38 42 90 172.7 88.9
## 237 medium 130 80 NA NA 32 40 15 160.0 69.4
## 238 small 122 68 NA NA 38 39 300 172.7 77.1
## 239 large 116 53 NA NA 40 41 180 167.6 85.3
## 240 large 158 98 159 80 45 48 180 149.9 81.2
## 241 large 122 90 NA NA 48 49 720 182.9 117.5
## 242 medium 140 65 NA NA 41 47 180 167.6 90.7
## 243 medium 123 82 NA NA 35 39 900 180.3 73.5
## 244 large 118 78 NA NA 33 40 720 157.5 64.0
## 245 medium 131 75 NA NA 36 39 20 172.7 83.0
## 246 medium 108 58 NA NA 30 44 240 170.2 72.6
## 247 small 136 86 NA NA 29 40 240 165.1 54.4
## 248 small 121 75 NA NA 32 35 60 165.1 65.8
## 249 large 162 75 NA NA 38 44 300 162.6 78.9
## 250 medium 100 72 NA NA 45 58 180 160.0 114.3
## 251 medium 108 58 NA NA 33 40 240 152.4 61.2
## 252 small 150 78 NA NA 33 41 900 160.0 70.3
## 253 medium 120 75 NA NA 40 42 720 160.0 81.2
## 254 large 100 60 NA NA 40 45 540 180.3 95.7
## 255 small 105 82 NA NA 31 37 720 157.5 52.2
## 256 medium 125 70 NA NA 41 47 720 167.6 86.2
## 257 large 175 80 152 102 55 62 300 160.0 131.5
## 258 medium 140 89 NA NA 36 39 720 180.3 76.2
## 259 large 118 66 NA NA 47 52 360 167.6 115.7
## 260 medium 150 99 130 80 37 41 360 175.3 93.0
## 261 medium 150 98 142 90 42 47 60 185.4 117.9
## 262 medium 142 79 NA NA 43 51 120 182.9 113.4
## 263 large 106 82 NA NA 39 38 420 175.3 75.3
## 264 medium 130 82 NA NA 35 42 240 160.0 77.1
## 265 large 140 65 NA NA 42 39 270 175.3 82.6
## 266 large 140 70 NA NA 34 44 60 160.0 79.8
## 267 medium 108 76 NA NA 34 42 90 162.6 65.8
## 268 large 130 82 NA NA 40 40 60 167.6 78.0
## 269 large 150 99 150 85 50 49 840 180.3 125.6
## 270 medium 138 90 NA NA 36 47 90 175.3 75.8
## 271 small 130 96 130 90 39 41 480 175.3 93.0
## 272 medium 122 96 126 96 38 40 NA 170.2 83.0
## 273 small 118 61 NA NA 26 37 240 165.1 55.8
## 274 small 121 75 NA NA 31 36 720 160.0 58.1
## 275 medium 120 80 NA NA 43 45 720 165.1 83.0
## 276 small 125 60 NA NA 30 36 720 157.5 44.9
## 277 large 136 70 NA NA 45 49 150 182.9 122.5
## 278 small 140 90 NA NA 31 39 330 152.4 62.6
## 279 large 142 98 142 96 50 60 690 160.0 129.3
## 280 medium 130 78 NA NA 38 42 720 172.7 81.6
## 281 large 150 81 NA NA 36 45 300 160.0 72.6
## 282 medium 131 75 NA NA 34 39 120 180.3 77.1
## 283 127 71 NA NA 43 47 600 154.9 83.9
## 284 medium 126 78 NA NA 36 40 795 177.8 73.9
## 285 medium 148 82 158 80 38 49 135 132.1 84.8
## 286 small 140 86 128 74 33 39 240 154.9 58.1
## 287 small 106 82 NA NA 36 44 10 157.5 69.4
## 288 medium 132 80 NA NA 31 39 480 157.5 56.7
## 289 small 110 68 NA NA 31 39 10 175.3 70.3
## 290 medium 220 100 202 98 45 54 375 162.6 101.2
## 291 medium 180 110 190 114 37 40 30 177.8 73.0
## 292 large 100 70 NA NA 41 44 30 170.2 98.0
## 293 medium 212 114 210 112 38 46 150 160.0 81.2
## 294 medium 134 74 NA NA 44 47 270 172.7 103.0
## 295 medium 162 88 150 80 38 39 570 175.3 72.1
## 296 small 122 62 NA NA 32 38 720 188.0 77.1
## 297 small 138 80 NA NA 32 38 30 167.6 62.6
## 298 small 112 78 NA NA 28 35 120 160.0 51.7
## 299 medium 128 90 138 90 48 53 330 162.6 108.4
## 300 medium 148 92 138 84 38 46 10 157.5 78.9
## 301 small 130 76 NA NA 35 46 5 165.1 85.3
## 302 small 110 64 NA NA 40 49 60 165.1 89.8
## 303 small 122 64 NA NA 31 39 90 162.6 51.7
## 304 medium 136 86 NA NA 41 52 105 172.7 102.1
## 305 medium 172 124 176 124 33 40 30 160.0 64.9
## 306 medium 138 78 NA NA 36 48 1260 170.2 66.2
## 307 small 122 86 NA NA 32 39 390 177.8 64.0
## 308 small 120 68 NA NA 33 40 420 165.1 68.5
## 309 medium 110 80 NA NA 49 58 15 162.6 112.5
## 310 small 138 76 NA NA 33 38 420 188.0 68.9
## 311 small 138 84 NA NA 32 40 270 152.4 59.0
## 312 medium 250 100 NA NA 41 46 60 157.5 74.8
## 313 medium 138 88 NA NA 39 40 45 177.8 81.6
## 314 medium 116 76 NA NA 34 39 180 180.3 73.9
## 315 large 150 92 130 86 37 42 390 167.6 81.2
## 316 medium 138 84 NA NA 36 42 150 154.9 70.8
## 317 small 110 64 NA NA 31 38 15 162.6 59.0
## 318 small 120 60 NA NA 40 47 300 NA 72.6
## 319 medium 130 75 NA NA 44 47 720 175.3 95.3
## 320 small 148 81 NA NA 31 37 240 185.4 74.4
## 321 small 135 88 NA NA 30 34 15 167.6 52.2
## 322 small 140 94 130 95 36 43 330 157.5 72.1
## 323 small 110 58 NA NA 33 38 120 182.9 64.0
## 324 small 145 72 142 70 35 39 30 175.3 76.7
## 325 large 142 81 NA NA 43 49 480 177.8 82.1
## 326 small 118 62 NA NA 35 41 180 182.9 81.6
## 327 medium 131 111 130 80 42 46 300 167.6 94.8
## 328 140 112 138 89 37 42 30 180.3 95.3
## 329 large 140 87 NA NA 53 56 240 157.5 107.5
## 330 small 140 70 NA NA 35 38 150 175.3 73.9
## 331 medium 130 75 NA NA 40 41 180 188.0 83.9
## 332 small 128 94 124 96 39 43 270 170.2 81.6
## 333 142 78 141 80 47 58 10 160.0 111.1
## 334 small 136 88 NA NA 33 39 300 177.8 68.0
## 335 medium 128 82 NA NA 37 43 240 162.6 66.2
## 336 medium 110 60 NA NA 34 37 20 172.7 65.8
## 337 medium 108 68 NA NA NA NA 330 157.5 64.4
## 338 medium 152 92 162 92 42 49 20 162.6 89.8
## 339 small 90 48 NA NA 35 38 240 162.6 67.1
## 340 medium 122 90 NA NA 43 46 150 165.1 90.7
## 341 large 140 75 NA NA 39 44 300 175.3 86.2
## 342 large 126 80 NA NA 38 46 540 160.0 82.6
## 343 small 130 82 NA NA 40 52 240 154.9 99.8
## 344 medium 135 100 170 98 39 47 150 162.6 81.2
## 345 small 122 74 NA NA 48 51 150 170.2 96.2
## 346 medium 135 80 NA NA 34 46 30 152.4 74.8
## 347 medium 162 108 158 110 47 55 60 167.6 116.6
## 348 large 140 72 NA NA 39 41 195 175.3 83.5
## 349 110 80 NA NA 41 45 90 180.3 83.0
## 350 large 172 110 168 108 41 45 180 170.2 98.9
## 351 medium 138 92 135 88 32 37 450 185.4 81.2
## 352 medium 142 90 142 92 42 54 225 162.6 103.4
## 353 large 130 100 170 114 48 51 75 175.3 131.1
## 354 small 140 98 142 102 36 40 195 175.3 69.4
## 355 large 178 100 170 96 47 52 210 170.2 106.6
## 356 medium 162 90 152 90 33 42 180 152.4 65.3
## 357 large 134 78 NA NA 43 46 195 165.1 83.0
## 358 small 124 94 110 74 35 38 330 170.2 69.9
## 359 large 142 96 142 98 43 45 285 175.3 98.0
## 360 small 120 80 NA NA 41 42 240 170.2 82.1
## 361 small 140 90 140 90 43 47 150 167.6 91.6
## 362 small 124 82 NA NA 37 45 15 162.6 72.6
## 363 medium 130 72 NA NA 36 41 60 149.9 55.8
## 364 small 100 50 NA NA 41 50 210 165.1 89.4
## 365 small 144 88 146 82 41 48 210 152.4 87.1
## 366 medium 110 72 NA NA 40 45 1440 170.2 84.8
## 367 medium 156 88 158 86 47 48 390 180.3 96.2
## 368 medium 148 98 130 100 40 42 900 175.3 84.4
## 369 small 160 100 160 100 44 41 1440 157.5 73.5
## 370 small 110 70 NA NA 33 38 90 162.6 54.4
## 371 small 122 80 NA NA 37 41 260 167.6 68.9
## 372 medium 140 100 136 100 44 53 240 147.3 95.3
## 373 medium 140 100 136 92 32 42 270 149.9 67.1
## 374 medium 140 100 138 82 34 46 270 147.3 77.1
## 375 small 125 80 NA NA 33 37 180 172.7 71.2
## 376 small 170 96 160 94 30 37 15 175.3 58.5
## 377 large 144 82 144 80 38 43 480 177.8 95.7
## 378 medium 124 84 NA NA 36 44 240 182.9 85.7
## 379 medium 170 110 166 108 30 33 780 177.8 54.4
## 380 medium 110 64 NA NA 32 34 300 160.0 54.9
## 381 120 98 122 100 32 41 60 142.2 54.4
## 382 large 142 79 NA NA 36 38 900 172.7 76.7
## 383 small 140 90 138 84 42 46 40 157.5 84.4
## 384 medium 130 94 130 88 42 48 450 177.8 118.8
## 385 medium 120 84 NA NA 40 44 1020 182.9 100.7
## 386 medium 128 82 NA NA 41 51 210 170.2 100.7
## 387 medium 140 96 148 100 37 47 60 157.5 81.2
## 388 large 174 90 174 84 48 50 180 172.7 101.6
## 389 small 118 78 NA NA 31 38 180 182.9 74.8
## 390 large 146 94 149 94 39 41 30 167.6 83.9
## 391 medium 144 94 142 92 34 42 480 157.5 66.7
## 392 medium 130 78 NA NA 39 45 60 157.5 80.3
## 393 large 110 70 NA NA 38 39 540 167.6 65.8
## 394 large 130 110 170 118 NA NA 60 165.1 66.2
## 395 medium 140 95 130 94 40 42 60 152.4 69.9
## 396 medium 190 94 172 100 33 39 480 167.6 61.7
## 397 medium 132 90 126 80 38 42 330 167.6 76.2
## 398 medium 218 90 238 90 31 41 210 154.9 52.2
## 399 medium 138 94 130 94 35 39 210 175.3 78.5
## 400 medium 140 100 146 102 32 43 180 160.0 69.9
## 401 small 120 70 NA NA 33 40 20 175.3 75.8
## 402 medium 120 78 NA NA 41 48 255 160.0 89.4
## 403 medium 100 72 NA NA 49 58 900 162.6 99.8
## waist_cm hip_cm BMI BMI_class gender_num BFP
## 1 73.7 96.5 22.13152 Normal weight 0 31.73782
## 2 116.8 121.9 37.40720 Obese 0 46.15864
## 3 124.5 144.8 48.38708 Obese 0 66.00449
## 4 83.8 96.5 18.64123 Normal weight 1 21.57948
## 5 111.8 104.1 27.82873 Overweight 1 31.91448
## 6 91.4 106.7 26.51648 Overweight 1 23.43977
## 7 116.8 124.5 28.18085 Overweight 1 24.51702
## 8 86.4 99.1 34.31240 Obese 1 33.48488
## 9 86.4 101.6 24.50367 Normal weight 1 23.55440
## 10 114.3 127.0 35.78125 Obese 0 50.18750
## 11 99.1 114.3 25.97402 Overweight 0 39.56882
## 12 106.7 127.0 40.78850 Obese 0 52.28620
## 13 88.9 104.1 33.19590 Obese 0 40.64508
## 14 94.0 109.2 33.28881 Obese 0 43.74658
## 15 91.4 101.6 27.00936 Overweight 1 24.49123
## 16 94.0 104.1 26.12076 Overweight 0 33.53491
## 17 94.0 109.2 30.44977 Obese 0 42.63972
## 18 78.7 99.1 24.88950 Normal weight 1 18.26740
## 19 76.2 86.4 21.63490 Normal weight 1 18.04188
## 20 116.8 129.5 32.61427 Obese 0 47.99712
## 21 106.7 104.1 27.85829 Overweight 1 33.32995
## 22 114.3 116.8 36.00520 Obese 1 37.81624
## 23 121.9 139.7 42.49906 Obese 0 54.33887
## 24 121.9 111.8 33.82212 Obese 0 50.36655
## 25 83.8 96.5 21.38034 Normal weight 0 25.77640
## 26 71.1 91.4 15.99287 Underweight 0 23.22144
## 27 109.2 119.4 38.32318 Obese 1 38.29782
## 28 68.6 83.8 15.22198 Underweight 1 13.10638
## 29 78.7 96.5 26.52557 Overweight 0 36.32069
## 30 94.0 99.1 27.10924 Overweight 1 25.53109
## 31 94.0 101.6 28.94562 Overweight 0 38.99474
## 32 73.7 88.9 21.15654 Normal weight 1 21.14785
## 33 99.1 104.1 24.50204 Normal weight 1 27.23244
## 34 124.5 109.2 25.67516 Overweight 0 39.44019
## 35 81.3 86.4 19.04609 Normal weight 1 12.40530
## 36 99.1 111.8 30.04654 Obese 0 41.46584
## 37 78.7 88.9 25.66772 Overweight 1 22.65126
## 38 116.8 124.5 27.80069 Overweight 1 27.74083
## 39 78.7 91.4 20.24112 Normal weight 1 21.19934
## 40 114.3 121.9 31.59769 Obese 1 37.81723
## 41 88.9 101.6 25.84572 Overweight 0 30.67486
## 42 101.6 109.2 31.08088 Obese 0 43.85705
## 43 101.6 106.7 30.06762 Obese 1 28.16114
## 44 109.2 124.5 31.63384 Obese 1 31.65061
## 45 101.6 101.6 27.63684 Overweight 0 44.32420
## 46 124.5 144.8 39.97918 Obese 0 51.08502
## 47 106.7 106.7 25.82156 Overweight 0 38.00587
## 48 106.7 109.2 30.68899 Obese 1 34.42679
## 49 101.6 111.8 29.93615 Overweight 0 39.72339
## 50 109.2 132.1 35.35096 Obese 0 49.67115
## 51 94.0 104.1 25.64384 Overweight 1 32.05261
## 52 91.4 116.8 31.05289 Obese 0 41.75347
## 53 109.2 119.4 35.34215 Obese 0 51.96058
## 54 99.1 111.8 28.67003 Overweight 0 39.35403
## 55 129.5 137.2 42.96953 Obese 0 62.26344
## 56 124.5 147.3 41.67604 Obese 0 49.21125
## 57 96.5 104.1 27.35933 Overweight 1 30.89120
## 58 129.5 129.5 39.66742 Obese 0 63.36091
## 59 109.2 119.4 34.54775 Obese 0 47.32729
## 60 101.6 114.3 30.82974 Obese 0 41.71569
## 61 106.7 121.9 32.42187 Obese 0 50.52625
## 62 86.4 101.6 23.09188 Normal weight 1 19.79026
## 63 109.2 121.9 33.72048 Obese 0 46.79457
## 64 78.7 88.9 NA <NA> 0 NA
## 65 88.9 99.1 23.66127 Normal weight 1 19.32353
## 66 71.1 81.3 21.63490 Normal weight 0 27.00188
## 67 71.1 88.9 25.03401 Overweight 0 29.70082
## 68 86.4 106.7 29.21875 Overweight 0 45.99250
## 69 78.7 83.8 19.29648 Normal weight 0 35.23578
## 70 88.9 96.5 24.00599 Normal weight 0 44.33719
## 71 104.1 99.1 29.86949 Overweight 1 28.84339
## 72 111.8 119.4 36.15349 Obese 0 43.27419
## 73 94.0 101.6 27.61098 Overweight 0 32.33317
## 74 109.2 137.2 40.16725 Obese 0 52.00070
## 75 78.7 88.9 17.74581 Underweight 1 17.05498
## 76 88.9 101.6 27.94311 Overweight 0 45.61173
## 77 94.0 114.3 33.45931 Obese 0 45.33117
## 78 91.4 101.6 24.83168 Normal weight 1 24.63802
## 79 116.8 127.0 31.13071 Obese 0 37.01685
## 80 96.5 104.1 27.30469 Overweight 0 40.70562
## 81 104.1 106.7 28.88882 Overweight 1 26.28658
## 82 101.6 111.8 26.47746 Overweight 0 40.40295
## 83 96.5 104.1 26.38687 Overweight 1 24.66424
## 84 96.5 114.3 34.30569 Obese 0 42.20683
## 85 94.0 101.6 27.42351 Overweight 0 39.69821
## 86 94.0 104.1 27.85829 Overweight 1 32.63995
## 87 106.7 134.6 NA <NA> 0 NA
## 88 101.6 124.5 37.49055 Obese 0 50.85866
## 89 94.0 106.7 27.61401 Overweight 0 42.68681
## 90 91.4 104.1 27.44772 Overweight 1 29.15727
## 91 86.4 101.6 25.71643 Overweight 1 23.39972
## 92 83.8 104.1 28.16406 Overweight 0 43.11687
## 93 73.7 76.2 20.79686 Normal weight 0 28.98623
## 94 91.4 109.2 30.10868 Obese 1 35.34041
## 95 88.9 111.8 28.96295 Overweight 0 35.56554
## 96 71.1 99.1 25.15625 Overweight 0 29.61750
## 97 73.7 99.1 28.08187 Overweight 0 37.72825
## 98 88.9 99.1 27.65625 Overweight 0 38.59750
## 99 101.6 127.0 36.61309 Obese 0 52.56571
## 100 106.7 109.2 30.86160 Obese 1 35.78392
## 101 106.7 116.8 35.42969 Obese 0 43.55562
## 102 86.4 99.1 22.74644 Normal weight 1 20.52572
## 103 106.7 129.5 38.38458 Obese 0 49.17150
## 104 91.4 101.6 25.10144 Overweight 1 25.42173
## 105 91.4 99.1 28.34041 Overweight 0 41.71849
## 106 101.6 104.1 31.01395 Obese 1 27.45674
## 107 104.1 106.7 31.31037 Obese 0 39.30244
## 108 88.9 101.6 25.23363 Overweight 0 43.97036
## 109 99.1 104.1 23.66127 Normal weight 1 30.36353
## 110 94.0 106.7 24.38882 Normal weight 1 28.70659
## 111 99.1 111.8 30.43067 Obese 1 27.67681
## 112 104.1 111.8 30.79001 Obese 1 26.72801
## 113 78.7 96.5 22.12815 Normal weight 1 18.63378
## 114 86.4 109.2 29.84255 Overweight 0 42.60106
## 115 81.3 96.5 22.50562 Normal weight 0 25.97674
## 116 86.4 99.1 23.09942 Normal weight 1 26.00930
## 117 99.1 121.9 40.74219 Obese 0 56.83062
## 118 83.8 101.6 28.00781 Overweight 0 40.39937
## 119 129.5 162.6 37.73783 Obese 1 40.58540
## 120 78.7 101.6 21.77919 Normal weight 1 19.36503
## 121 81.3 88.9 17.20820 Underweight 1 15.48984
## 122 96.5 109.2 26.92623 Overweight 0 40.48147
## 123 78.7 99.1 23.04767 Normal weight 1 19.27720
## 124 86.4 106.7 28.00781 Overweight 0 42.69937
## 125 81.3 101.6 19.97369 Normal weight 1 13.05843
## 126 99.1 109.2 28.13852 Overweight 0 33.19622
## 127 111.8 127.0 39.10777 Obese 0 46.81932
## 128 83.8 91.4 22.14844 Normal weight 0 29.45813
## 129 121.9 129.5 43.24219 Obese 0 62.82062
## 130 111.8 119.4 31.40757 Obese 1 36.20908
## 131 94.0 101.6 24.01777 Normal weight 0 33.31132
## 132 119.4 134.6 35.55643 Obese 0 44.39771
## 133 101.6 109.2 27.45968 Overweight 0 37.67162
## 134 96.5 111.8 27.80834 Overweight 0 41.77001
## 135 134.6 157.5 55.75148 Obese 0 71.39178
## 136 81.3 96.5 21.44531 Normal weight 0 31.37438
## 137 86.4 96.5 19.38094 Normal weight 1 19.93713
## 138 109.2 121.9 34.93505 Obese 0 49.17206
## 139 124.5 114.3 37.12922 Obese 1 39.62506
## 140 96.5 109.2 27.72020 Overweight 1 30.40425
## 141 83.8 116.8 30.11719 Obese 0 38.33062
## 142 81.3 104.1 22.19593 Normal weight 0 32.27511
## 143 78.7 83.8 19.54449 Normal weight 0 33.23339
## 144 94.0 101.6 27.44772 Overweight 1 30.30727
## 145 83.8 96.5 23.64675 Normal weight 0 33.32610
## 146 83.8 99.1 22.17909 Normal weight 1 22.37491
## 147 73.7 83.8 18.00387 Underweight 1 22.88464
## 148 129.5 124.5 39.73069 Obese 1 39.75683
## 149 99.1 104.1 29.26682 Overweight 0 39.15018
## 150 73.7 91.4 19.66973 Normal weight 1 12.00368
## 151 142.2 124.5 44.66580 Obese 1 48.89897
## 152 101.6 114.3 29.79088 Overweight 0 40.23906
## 153 94.0 109.2 26.30852 Overweight 1 34.23022
## 154 99.1 104.1 24.95925 Normal weight 1 21.80110
## 155 116.8 137.2 38.59416 Obese 0 51.72299
## 156 111.8 114.3 31.95275 Obese 1 39.39330
## 157 88.9 99.1 19.49046 Normal weight 1 21.44855
## 158 91.4 106.7 26.52557 Overweight 0 33.56069
## 159 101.6 114.3 30.84190 Obese 1 32.31028
## 160 116.8 137.2 41.18939 Obese 0 52.99726
## 161 132.1 147.3 45.46033 Obese 1 45.94239
## 162 76.2 94.0 NA <NA> 1 NA
## 163 91.4 109.2 27.11927 Overweight 0 45.77313
## 164 99.1 119.4 34.96220 Obese 0 42.76464
## 165 76.2 91.4 21.10538 Normal weight 0 30.73645
## 166 73.7 88.9 19.04609 Normal weight 0 25.04530
## 167 91.4 99.1 25.41467 Overweight 1 29.70761
## 168 94.0 116.8 23.25694 Normal weight 0 32.16832
## 169 99.1 109.2 28.00781 Overweight 0 33.03937
## 170 96.5 106.7 24.13969 Normal weight 0 35.29763
## 171 71.1 94.0 21.09375 Normal weight 0 26.12250
## 172 132.1 149.9 44.15211 Obese 0 59.31253
## 173 96.5 101.6 25.25212 Overweight 1 30.43255
## 174 94.0 104.1 25.38229 Overweight 1 25.75875
## 175 83.8 99.1 22.96573 Normal weight 0 34.57887
## 176 96.5 94.0 24.67041 Normal weight 1 26.97449
## 177 96.5 114.3 30.50934 Obese 0 44.78121
## 178 101.6 119.4 41.16598 Obese 0 53.19918
## 179 116.8 111.8 34.71016 Obese 1 38.79219
## 180 114.3 116.8 27.80834 Overweight 1 33.73001
## 181 114.3 116.8 30.50934 Obese 0 46.39121
## 182 86.4 104.1 24.39286 Normal weight 1 18.36143
## 183 83.8 114.3 27.44148 Overweight 0 37.18977
## 184 94.0 111.8 24.97840 Normal weight 1 23.66408
## 185 111.8 106.7 30.10079 Obese 1 37.17095
## 186 101.6 134.6 41.28906 Obese 0 59.09687
## 187 94.0 109.2 29.31578 Overweight 1 26.79894
## 188 91.4 109.2 27.22399 Overweight 1 24.97879
## 189 104.1 119.4 35.27344 Obese 0 50.95812
## 190 99.1 114.3 31.73371 Obese 0 40.96045
## 191 81.3 96.5 23.02538 Normal weight 0 32.58045
## 192 73.7 94.0 22.50562 Normal weight 0 37.24674
## 193 94.0 101.6 27.62573 Overweight 1 30.06087
## 194 99.1 111.8 33.66087 Obese 0 44.42305
## 195 94.0 109.2 24.75142 Normal weight 1 29.14170
## 196 94.0 96.5 NA <NA> 0 NA
## 197 86.4 96.5 22.30537 Normal weight 0 39.53644
## 198 127.0 119.4 40.54858 Obese 1 46.71830
## 199 111.8 121.9 37.80110 Obese 0 54.45132
## 200 81.3 83.8 20.08677 Normal weight 1 20.55413
## 201 76.2 94.0 20.19531 Normal weight 0 31.48438
## 202 86.4 109.2 32.72572 Obese 0 40.08087
## 203 114.3 121.9 31.95275 Obese 1 37.32330
## 204 119.4 114.3 30.71248 Obese 0 45.94498
## 205 83.8 86.4 18.12311 Underweight 1 23.48774
## 206 73.7 83.8 30.23147 Obese 1 35.71776
## 207 83.8 96.5 23.42491 Normal weight 1 19.03989
## 208 111.8 119.4 30.55682 Obese 0 45.98818
## 209 94.0 109.2 27.22522 Overweight 0 36.47026
## 210 101.6 106.7 25.50781 Overweight 0 39.23937
## 211 73.7 88.9 19.19942 Normal weight 1 13.27931
## 212 86.4 109.2 29.06250 Overweight 0 37.29500
## 213 114.3 116.8 33.45806 Obese 0 49.23967
## 214 96.5 96.5 23.25694 Normal weight 1 24.35832
## 215 76.2 88.9 22.95396 Normal weight 1 17.32475
## 216 81.3 94.0 23.33695 Normal weight 0 30.88434
## 217 66.0 83.8 19.18871 Normal weight 0 26.82646
## 218 83.8 88.9 19.19942 Normal weight 1 17.18931
## 219 81.3 96.5 21.95312 Normal weight 0 36.58375
## 220 104.1 116.8 30.11719 Obese 0 49.60062
## 221 78.7 101.6 24.50995 Normal weight 0 37.81194
## 222 83.8 106.7 27.44148 Overweight 0 34.42977
## 223 96.5 104.1 29.89502 Overweight 1 29.10402
## 224 94.0 109.2 29.12905 Overweight 0 41.97486
## 225 99.1 119.4 34.00849 Obese 0 51.97019
## 226 88.9 99.1 21.59241 Normal weight 1 20.52090
## 227 86.4 104.1 27.79860 Overweight 0 39.45833
## 228 71.1 94.0 17.76448 Underweight 0 27.64738
## 229 101.6 109.2 30.10079 Obese 1 30.27095
## 230 96.5 116.8 32.07031 Obese 0 41.82437
## 231 94.0 104.1 26.82454 Overweight 1 20.58945
## 232 96.5 111.8 NA <NA> 0 NA
## 233 94.0 106.7 25.97046 Overweight 1 29.45455
## 234 88.9 94.0 21.92071 Normal weight 1 21.60485
## 235 116.8 124.5 31.48297 Obese 0 42.49957
## 236 96.5 106.7 29.80692 Overweight 1 30.60830
## 237 81.3 101.6 27.10937 Overweight 0 36.56125
## 238 96.5 99.1 25.85054 Overweight 1 21.49065
## 239 101.6 104.1 30.36694 Obese 1 37.72033
## 240 114.3 121.9 36.13706 Obese 0 53.83447
## 241 121.9 124.5 35.12452 Obese 1 31.92943
## 242 104.1 119.4 32.28935 Obese 0 49.44722
## 243 88.9 99.1 22.60976 Normal weight 1 16.68171
## 244 83.8 101.6 25.79995 Overweight 0 35.21994
## 245 91.4 99.1 27.82873 Overweight 1 30.07448
## 246 76.2 111.8 25.06210 Overweight 0 31.80452
## 247 73.7 101.6 19.95744 Normal weight 0 25.67892
## 248 81.3 88.9 24.13969 Normal weight 0 29.77763
## 249 96.5 111.8 29.84255 Overweight 0 47.20106
## 250 114.3 147.3 44.64844 Obese 0 55.53812
## 251 83.8 101.6 26.35005 Overweight 0 30.59006
## 252 83.8 104.1 27.46094 Overweight 0 43.88312
## 253 101.6 106.7 31.71875 Obese 0 38.87250
## 254 101.6 114.3 29.43883 Overweight 1 26.25659
## 255 78.7 94.0 21.04308 Normal weight 0 24.45170
## 256 104.1 119.4 30.68734 Obese 0 38.55481
## 257 139.7 157.5 51.36719 Obese 0 70.50062
## 258 91.4 99.1 23.44032 Normal weight 1 22.04838
## 259 119.4 132.1 41.18939 Obese 0 52.30726
## 260 94.0 104.1 30.26350 Obese 1 28.39620
## 261 106.7 119.4 34.30002 Obese 1 35.77002
## 262 109.2 129.5 33.89890 Obese 1 31.37868
## 263 99.1 96.5 24.50367 Normal weight 1 27.69440
## 264 88.9 106.7 30.11719 Obese 0 41.78062
## 265 106.7 99.1 26.87919 Overweight 1 31.00503
## 266 86.4 111.8 31.17187 Obese 0 45.57625
## 267 86.4 106.7 24.88770 Normal weight 0 32.97524
## 268 101.6 101.6 27.76813 Overweight 1 35.06175
## 269 127.0 124.5 38.63654 Obese 1 35.45384
## 270 91.4 119.4 24.66638 Normal weight 0 32.93965
## 271 99.1 104.1 30.26350 Obese 1 28.85620
## 272 96.5 101.6 28.65227 Overweight 1 27.61272
## 273 66.0 94.0 20.47105 Normal weight 0 25.83526
## 274 78.7 91.4 22.69531 Normal weight 0 33.10437
## 275 109.2 114.3 30.44977 Obese 0 36.42972
## 276 76.2 91.4 18.10028 Underweight 0 22.99033
## 277 114.3 124.5 36.61919 Obese 1 36.94302
## 278 78.7 99.1 26.95283 Overweight 0 35.68340
## 279 127.0 152.4 50.50781 Obese 0 64.40937
## 280 96.5 106.7 27.35933 Overweight 1 23.30120
## 281 91.4 114.3 28.35937 Overweight 0 46.57125
## 282 86.4 99.1 23.71717 Normal weight 1 23.76061
## 283 109.2 119.4 34.96706 Obese 0 41.85047
## 284 91.4 101.6 23.37658 Normal weight 1 25.65189
## 285 96.5 124.5 48.59485 Obese 0 62.11382
## 286 83.8 99.1 24.21438 Normal weight 0 37.45725
## 287 91.4 111.8 27.97682 Overweight 0 37.37218
## 288 78.7 99.1 22.85714 Normal weight 0 28.92857
## 289 78.7 99.1 22.87660 Normal weight 1 16.08192
## 290 114.3 137.2 38.27714 Obese 0 55.02256
## 291 94.0 101.6 23.09188 Normal weight 1 26.00026
## 292 104.1 111.8 33.83039 Obese 1 34.28646
## 293 96.5 116.8 31.71875 Obese 0 43.24250
## 294 111.8 119.4 34.53445 Obese 1 39.96134
## 295 96.5 99.1 23.46235 Normal weight 1 24.83482
## 296 81.3 96.5 21.81417 Normal weight 1 18.02700
## 297 81.3 96.5 22.28570 Normal weight 0 34.91284
## 298 71.1 88.9 20.19531 Normal weight 0 23.89437
## 299 121.9 134.6 41.00041 Obese 0 53.69049
## 300 96.5 116.8 31.80650 Obese 0 38.74780
## 301 88.9 116.8 31.29355 Obese 0 41.58226
## 302 101.6 124.5 32.94444 Obese 0 44.02333
## 303 78.7 99.1 19.55462 Normal weight 0 22.66555
## 304 104.1 132.1 34.23269 Obese 0 42.11923
## 305 83.8 101.6 25.35156 Overweight 0 31.92187
## 306 91.4 121.9 22.85277 Normal weight 1 26.40333
## 307 81.3 99.1 20.24494 Normal weight 0 23.49393
## 308 83.8 101.6 25.13023 Overweight 0 32.11627
## 309 124.5 147.3 42.55116 Obese 0 54.40140
## 310 83.8 96.5 19.49411 Normal weight 1 21.22294
## 311 81.3 101.6 25.40283 Overweight 0 31.06339
## 312 104.1 116.8 30.15369 Obese 0 47.80443
## 313 99.1 101.6 25.81230 Overweight 1 31.33476
## 314 86.4 99.1 22.73280 Normal weight 1 15.90936
## 315 94.0 106.7 28.90733 Overweight 1 26.76880
## 316 91.4 106.7 29.50736 Overweight 0 39.66884
## 317 78.7 96.5 22.31572 Normal weight 0 36.55887
## 318 101.6 119.4 NA <NA> 0 NA
## 319 111.8 119.4 31.01195 Obese 0 41.70434
## 320 78.7 94.0 21.64479 Normal weight 1 22.88375
## 321 76.2 86.4 18.58328 Normal weight 1 16.44994
## 322 91.4 109.2 29.06526 Overweight 0 39.59831
## 323 83.8 96.5 19.13166 Normal weight 1 12.96799
## 324 88.9 99.1 24.95925 Normal weight 1 28.24110
## 325 109.2 124.5 25.97046 Overweight 1 29.91455
## 326 88.9 104.1 24.39286 Normal weight 1 19.97143
## 327 106.7 116.8 33.74895 Obese 1 30.73874
## 328 94.0 106.7 29.31578 Overweight 1 28.40894
## 329 134.6 142.2 43.33585 Obese 0 53.73302
## 330 88.9 96.5 24.04809 Normal weight 1 20.24771
## 331 101.6 104.1 23.73812 Normal weight 1 27.46574
## 332 99.1 109.2 28.16898 Overweight 0 34.84277
## 333 119.4 147.3 43.39844 Obese 0 52.42812
## 334 83.8 99.1 21.51025 Normal weight 1 15.59230
## 335 94.0 109.2 25.03900 Overweight 0 33.84679
## 336 86.4 94.0 22.06181 Normal weight 1 19.01418
## 337 NA NA 25.96120 Overweight 0 32.65344
## 338 106.7 124.5 33.96528 Obese 0 47.31834
## 339 88.9 96.5 25.37941 Overweight 0 30.11529
## 340 109.2 116.8 33.27462 Obese 0 46.25955
## 341 99.1 111.8 28.05068 Overweight 1 27.81082
## 342 96.5 116.8 32.26562 Obese 0 45.50875
## 343 101.6 132.1 41.59371 Obese 0 49.34246
## 344 99.1 119.4 30.71248 Obese 0 43.64498
## 345 121.9 129.5 33.20901 Obese 0 42.96081
## 346 86.4 116.8 32.20562 Obese 0 41.06674
## 347 119.4 139.7 41.50979 Obese 0 51.31175
## 348 99.1 104.1 27.17206 Overweight 1 33.42648
## 349 104.1 114.3 25.53211 Overweight 0 33.51853
## 350 104.1 114.3 34.14107 Obese 1 35.11929
## 351 81.3 94.0 23.62308 Normal weight 1 20.19770
## 352 106.7 137.2 39.10925 Obese 0 53.03110
## 353 121.9 129.5 42.66177 Obese 1 41.20412
## 354 91.4 101.6 22.58373 Normal weight 1 22.86047
## 355 119.4 132.1 36.79918 Obese 0 48.41901
## 356 83.8 106.7 28.11533 Overweight 1 26.50840
## 357 109.2 116.8 30.44977 Obese 1 37.12972
## 358 88.9 96.5 24.13004 Normal weight 1 19.19605
## 359 109.2 114.3 31.89057 Obese 1 34.25868
## 360 104.1 106.7 28.34158 Overweight 1 29.07990
## 361 109.2 119.4 32.60975 Obese 0 46.38170
## 362 94.0 114.3 27.45968 Overweight 0 36.06162
## 363 91.4 104.1 24.83310 Normal weight 0 38.19972
## 364 104.1 127.0 32.79770 Obese 0 46.83724
## 365 104.1 121.9 37.50146 Obese 0 58.92176
## 366 101.6 114.3 29.27364 Overweight 0 34.32837
## 367 119.4 121.9 29.59263 Overweight 1 37.71116
## 368 101.6 106.7 27.46494 Overweight 1 30.55792
## 369 111.8 104.1 29.62963 Overweight 0 48.55556
## 370 83.8 96.5 20.57585 Normal weight 0 25.96102
## 371 94.0 104.1 24.52851 Normal weight 0 33.92421
## 372 111.8 134.6 43.92254 Obese 0 61.79704
## 373 81.3 106.7 29.86202 Overweight 0 38.94443
## 374 86.4 116.8 35.53439 Obese 0 41.84127
## 375 83.8 94.0 23.87236 Normal weight 1 22.56683
## 376 76.2 94.0 19.03672 Normal weight 1 19.06406
## 377 96.5 109.2 30.27251 Obese 1 33.46701
## 378 91.4 111.8 25.61848 Overweight 1 22.59218
## 379 76.2 83.8 17.20820 Underweight 1 16.40984
## 380 81.3 86.4 21.44531 Normal weight 0 34.13437
## 381 81.3 104.1 26.90294 Overweight 0 36.77353
## 382 91.4 96.5 25.71643 Overweight 1 28.22972
## 383 106.7 116.8 34.02368 Obese 0 43.01842
## 384 106.7 121.9 37.57967 Obese 1 37.40560
## 385 101.6 111.8 30.10246 Obese 1 29.12296
## 386 104.1 129.5 34.76245 Obese 0 45.05494
## 387 94.0 119.4 32.73369 Obese 0 41.24042
## 388 121.9 127.0 34.06505 Obese 0 49.27806
## 389 78.7 96.5 22.36012 Normal weight 1 17.53215
## 390 99.1 104.1 29.86854 Overweight 1 29.30224
## 391 86.4 106.7 26.88838 Overweight 0 38.82606
## 392 99.1 114.3 32.37087 Obese 0 47.01505
## 393 96.5 99.1 23.42491 Normal weight 1 29.84989
## 394 NA NA 24.28644 Normal weight 1 24.67373
## 395 101.6 106.7 30.09589 Obese 0 36.46507
## 396 83.8 99.1 21.96530 Normal weight 1 18.66836
## 397 96.5 106.7 27.12732 Overweight 0 39.57279
## 398 78.7 104.1 21.75543 Normal weight 0 41.17652
## 399 88.9 99.1 25.54500 Overweight 1 26.64399
## 400 81.3 109.2 27.30469 Overweight 0 39.09562
## 401 83.8 101.6 24.66638 Normal weight 0 30.86965
## 402 104.1 121.9 34.92187 Obese 0 45.93625
## 403 124.5 147.3 37.74761 Obese 0 55.53713T8: Create a WHR (waist-to-hip ratio) variable
diabetes_5 %>% mutate(WHR=waist_cm/hip_cm)## id chol stab.glu hdl ratio glyhb location age gender height weight
## 1 1000 203 82 56 3.6 4.31 Buckingham 46 female 62 121
## 2 1001 165 97 24 6.9 4.44 Buckingham 29 female 64 218
## 3 1002 228 92 37 6.2 4.64 Buckingham 58 female 61 256
## 4 1003 78 93 12 6.5 4.63 Buckingham 67 male 67 119
## 5 1005 249 90 28 8.9 7.72 Buckingham 64 male 68 183
## 6 1008 248 94 69 3.6 4.81 Buckingham 34 male 71 190
## 7 1011 195 92 41 4.8 4.84 Buckingham 30 male 69 191
## 8 1015 227 75 44 5.2 3.94 Buckingham 37 male 59 170
## 9 1016 177 87 49 3.6 4.84 Buckingham 45 male 69 166
## 10 1022 263 89 40 6.6 5.78 Buckingham 55 female 63 202
## 11 1024 242 82 54 4.5 4.77 Louisa 60 female 65 156
## 12 1029 215 128 34 6.3 4.97 Louisa 38 female 58 195
## 13 1030 238 75 36 6.6 4.47 Louisa 27 female 60 170
## 14 1031 183 79 46 4.0 4.59 Louisa 40 female 59 165
## 15 1035 191 76 30 6.4 4.67 Louisa 36 male 69 183
## 16 1036 213 83 47 4.5 3.41 Louisa 33 female 65 157
## 17 1037 255 78 38 6.7 4.33 Louisa 50 female 65 183
## 18 1041 230 112 64 3.6 4.53 Louisa 20 male 67 159
## 19 1045 194 81 36 5.4 5.28 Louisa 36 male 64 126
## 20 1250 196 206 41 4.8 11.24 Buckingham 62 female 65 196
## 21 1252 186 97 50 3.7 6.49 Buckingham 70 male 67 178
## 22 1253 234 65 76 3.1 4.67 Buckingham 47 male 67 230
## 23 1254 203 299 43 4.7 12.74 Buckingham 38 female 69 288
## 24 1256 281 92 41 6.9 5.56 Buckingham 66 female 62 185
## 25 1271 228 66 45 5.1 4.61 Buckingham 24 female 61 113
## 26 1277 179 80 92 1.9 4.18 Buckingham 41 female 72 118
## 27 1280 232 87 30 7.7 5.10 Buckingham 37 male 68 252
## 28 1281 NA 74 NA NA 4.28 Buckingham 48 male 68 100
## 29 1282 254 84 52 4.9 4.52 Buckingham 43 female 62 145
## 30 1285 215 72 42 5.1 4.37 Louisa 40 male 70 189
## 31 1301 177 101 36 4.9 5.11 Buckingham 42 female 65 174
## 32 1303 182 85 43 4.2 4.47 Buckingham 52 male 68 139
## 33 1304 265 330 34 7.8 15.52 Buckingham 61 male 74 191
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## frame bp.1s bp.1d bp.2s bp.2d waist hip time.ppn height_cm weight_kg
## 1 medium 118 59 NA NA 29 38 720 157.5 54.9
## 2 large 112 68 NA NA 46 48 360 162.6 98.9
## 3 large 190 92 185 92 49 57 180 154.9 116.1
## 4 large 110 50 NA NA 33 38 480 170.2 54.0
## 5 medium 138 80 NA NA 44 41 300 172.7 83.0
## 6 large 132 86 NA NA 36 42 195 180.3 86.2
## 7 medium 161 112 161 112 46 49 720 175.3 86.6
## 8 medium NA NA NA NA 34 39 1020 149.9 77.1
## 9 large 160 80 128 86 34 40 300 175.3 75.3
## 10 small 108 72 NA NA 45 50 240 160.0 91.6
## 11 medium 130 90 130 90 39 45 300 165.1 70.8
## 12 medium 102 68 NA NA 42 50 90 147.3 88.5
## 13 medium 130 80 NA NA 35 41 720 152.4 77.1
## 14 medium NA NA NA NA 37 43 60 149.9 74.8
## 15 medium 100 66 NA NA 36 40 225 175.3 83.0
## 16 medium 130 90 120 96 37 41 240 165.1 71.2
## 17 medium 130 100 NA NA 37 43 180 165.1 83.0
## 18 medium 100 90 NA NA 31 39 1440 170.2 72.1
## 19 medium 110 76 NA NA 30 34 120 162.6 57.2
## 20 large 178 90 NA NA 46 51 540 165.1 88.9
## 21 large 148 88 148 84 42 41 1020 170.2 80.7
## 22 large 137 100 149 110 45 46 480 170.2 104.3
## 23 large 136 83 NA NA 48 55 240 175.3 130.6
## 24 large 158 88 160 88 48 44 285 157.5 83.9
## 25 medium 100 70 110 70 33 38 210 154.9 51.3
## 26 small 144 112 NA NA 28 36 780 182.9 53.5
## 27 large 140 95 NA NA 43 47 420 172.7 114.3
## 28 small 120 85 NA NA 27 33 510 172.7 45.4
## 29 medium 125 70 NA NA 31 38 720 157.5 65.8
## 30 medium 180 122 170 112 37 39 450 177.8 85.7
## 31 medium 146 94 139 89 37 40 540 165.1 78.9
## 32 large 130 90 NA NA 29 35 780 172.7 63.1
## 33 medium 170 88 168 80 39 41 225 188.0 86.6
## 34 medium 176 86 180 90 49 43 330 175.3 78.9
## 35 medium 120 78 NA NA 32 34 720 167.6 53.5
## 36 medium 140 97 NA NA 39 44 780 167.6 84.4
## 37 medium 115 64 NA NA 31 35 720 167.6 72.1
## 38 medium NA NA NA NA 46 49 240 182.9 93.0
## 39 medium 124 64 NA NA 31 36 30 180.3 65.8
## 40 large 158 90 160 96 45 48 840 175.3 97.1
## 41 large 105 85 NA NA 35 40 720 167.6 72.6
## 42 medium 142 79 NA NA 40 43 720 157.5 77.1
## 43 large 149 89 136 88 40 42 30 170.2 87.1
## 44 large 124 80 NA NA 43 49 300 190.5 114.8
## 45 large 130 60 NA NA 40 40 90 149.9 62.1
## 46 medium 110 82 NA NA 49 57 90 162.6 105.7
## 47 medium 140 65 NA NA 42 42 150 170.2 74.8
## 48 medium 110 68 NA NA 42 43 450 170.2 88.9
## 49 medium 106 82 NA NA 40 44 780 165.1 81.6
## 50 medium 150 82 142 78 43 52 360 167.6 99.3
## 51 158 78 140 84 37 41 120 165.1 69.9
## 52 medium 104 90 NA NA 36 46 240 162.6 82.1
## 53 large 158 94 149 96 43 47 360 154.9 84.8
## 54 large 124 86 NA NA 39 44 270 162.6 75.8
## 55 medium 126 80 NA NA 51 54 780 152.4 99.8
## 56 small 165 110 153 100 49 58 60 172.7 124.3
## 57 large 141 81 NA NA 38 41 540 172.7 81.6
## 58 large 160 82 NA NA 51 51 180 157.5 98.4
## 59 large 130 90 NA NA 43 47 195 157.5 85.7
## 60 large 138 79 NA NA 40 45 720 167.6 86.6
## 61 large 159 99 160 103 42 48 300 160.0 83.0
## 62 medium 130 79 NA NA 34 40 720 177.8 73.0
## 63 medium 158 98 148 88 43 48 420 177.8 106.6
## 64 NA NA NA NA 31 35 120 NA 56.7
## 65 medium 121 71 NA NA 35 39 720 177.8 74.8
## 66 small 120 90 NA NA 28 32 180 162.6 57.2
## 67 medium 120 70 NA NA 28 35 960 157.5 62.1
## 68 medium 150 80 145 80 34 42 960 160.0 74.8
## 69 medium 160 60 160 60 31 33 1020 154.9 46.3
## 70 170 82 NA NA 35 38 120 154.9 57.6
## 71 medium 138 94 140 80 41 39 240 180.3 97.1
## 72 large 126 75 NA NA 44 47 420 175.3 111.1
## 73 medium 108 70 NA NA 37 40 120 162.6 73.0
## 74 medium 142 98 130 92 43 54 240 172.7 119.8
## 75 small 140 90 NA NA 31 35 300 190.5 64.4
## 76 large 156 78 144 76 35 40 1200 152.4 64.9
## 77 medium 130 86 NA NA 37 45 180 157.5 83.0
## 78 large 178 120 182 110 36 40 240 177.8 78.5
## 79 medium 120 75 NA NA 46 50 210 180.3 101.2
## 80 large 174 75 NA NA 38 41 180 160.0 69.9
## 81 medium 145 100 NA NA 41 42 270 185.4 99.3
## 82 small 138 78 NA NA 40 44 10 170.2 76.7
## 83 small 120 76 NA NA 38 41 210 185.4 90.7
## 84 medium 136 52 NA NA 38 45 60 162.6 90.7
## 85 medium 147 72 NA NA 37 40 420 154.9 65.8
## 86 large 119 68 NA NA 37 41 780 170.2 80.7
## 87 large 139 69 NA NA 42 53 720 NA 97.5
## 88 medium 120 80 NA NA 40 49 840 157.5 93.0
## 89 medium 125 64 NA NA 37 42 660 157.5 68.5
## 90 large 121 62 NA NA 36 41 420 167.6 77.1
## 91 large 138 79 NA NA 34 40 690 172.7 76.7
## 92 medium 151 85 148 79 33 41 1140 160.0 72.1
## 93 small 103 64 NA NA 29 30 120 154.9 49.9
## 94 large 119 72 NA NA 36 43 60 172.7 89.8
## 95 medium 110 90 NA NA 35 44 10 170.2 83.9
## 96 medium 125 85 117 68 28 39 900 160.0 64.4
## 97 medium 112 72 NA NA 29 39 1560 149.9 63.1
## 98 medium 142 102 156 106 35 39 120 160.0 70.8
## 99 large 160 92 150 98 40 50 20 165.1 99.8
## 100 medium 160 80 158 80 42 43 390 170.2 89.4
## 101 large 111 65 NA NA 42 46 780 160.0 90.7
## 102 large 136 96 130 94 34 39 600 175.3 69.9
## 103 large 136 84 NA NA 42 51 10 154.9 92.1
## 104 medium 136 90 126 84 36 40 45 180.3 81.6
## 105 small 115 68 NA NA 36 39 780 154.9 68.0
## 106 medium 130 90 NA NA 40 41 60 172.7 92.5
## 107 medium 110 90 NA NA 41 42 240 170.2 90.7
## 108 medium 150 90 156 88 35 40 300 149.9 56.7
## 109 170 90 170 100 39 41 240 177.8 74.8
## 110 large 130 73 NA NA 37 42 720 177.8 77.1
## 111 132 90 NA NA 39 44 NA 177.8 96.2
## 112 large 158 104 158 108 41 44 330 182.9 103.0
## 113 small 138 82 NA NA 31 38 60 175.3 68.0
## 114 medium 160 96 162 96 34 43 30 162.6 78.9
## 115 small 118 70 NA NA 32 38 300 154.9 54.0
## 116 medium 131 88 NA NA 34 39 30 185.4 79.4
## 117 large 141 99 NA NA 39 48 30 160.0 104.3
## 118 medium 139 79 NA NA 33 40 720 160.0 71.7
## 119 large 159 99 150 89 51 64 210 177.8 119.3
## 120 small 150 80 NA NA 31 40 120 180.3 70.8
## 121 small 150 105 150 100 32 35 120 177.8 54.4
## 122 small 150 102 150 100 38 43 300 170.2 78.0
## 123 medium 138 82 NA NA 31 39 1170 182.9 77.1
## 124 medium 160 68 158 74 34 42 240 160.0 71.7
## 125 small 124 78 NA NA 32 40 720 193.0 74.4
## 126 large 112 62 NA NA 39 43 180 165.1 76.7
## 127 medium 110 80 NA NA 44 50 10 165.1 106.6
## 128 medium 110 76 NA NA 33 36 240 160.0 56.7
## 129 large 170 92 NA NA 48 51 660 160.0 110.7
## 130 large 130 66 NA NA 44 47 180 180.3 102.1
## 131 small 180 110 210 110 37 40 225 162.6 63.5
## 132 medium 122 70 NA NA 47 53 140 170.2 103.0
## 133 small 130 88 NA NA 40 43 60 162.6 72.6
## 134 medium 132 72 NA NA 38 44 30 165.1 75.8
## 135 large 141 79 NA NA 53 62 60 162.6 147.4
## 136 small 111 62 NA NA 32 38 855 160.0 54.9
## 137 small 140 75 NA NA 34 38 90 188.0 68.5
## 138 medium 136 83 NA NA 43 48 960 170.2 101.2
## 139 large 150 98 NA NA 49 45 90 180.3 120.7
## 140 medium 162 78 156 82 38 43 315 170.2 80.3
## 141 medium 110 68 NA NA 33 46 210 160.0 77.1
## 142 small 145 95 NA NA 32 41 600 172.7 66.2
## 143 small 104 64 NA NA 31 33 30 167.6 54.9
## 144 medium 146 92 168 98 37 40 120 167.6 77.1
## 145 small 130 90 NA NA 33 38 1320 170.2 68.5
## 146 small 125 72 NA NA 33 39 750 180.3 72.1
## 147 medium 125 82 NA NA 29 33 60 162.6 47.6
## 148 large 140 86 NA NA 51 49 900 177.8 125.6
## 149 medium 126 90 NA NA 39 41 390 157.5 72.6
## 150 small 108 78 NA NA 29 36 1080 182.9 65.8
## 151 large 140 86 NA NA 56 49 30 180.3 145.2
## 152 large 135 88 NA NA 40 45 720 157.5 73.9
## 153 179 89 172 91 37 43 60 167.6 73.9
## 154 medium 139 90 136 86 39 41 720 175.3 76.7
## 155 large 120 86 NA NA 46 54 900 165.1 105.2
## 156 large 151 87 NA NA 44 45 15 172.7 95.3
## 157 large 150 80 NA NA 35 39 270 193.0 72.6
## 158 small 110 72 NA NA 36 42 720 157.5 65.8
## 159 large 138 89 137 79 40 45 720 177.8 97.5
## 160 medium 140 98 NA NA 46 54 210 167.6 115.7
## 161 large 110 90 NA NA 52 58 300 175.3 139.7
## 162 medium 125 69 NA NA 30 37 10 175.3 NA
## 163 medium 146 76 NA NA 36 43 10 162.6 71.7
## 164 medium 150 106 160 116 39 47 60 165.1 95.3
## 165 small 140 76 NA NA 30 36 300 162.6 55.8
## 166 small 98 66 NA NA 29 35 150 167.6 53.5
## 167 large 161 118 151 111 36 39 60 172.7 75.8
## 168 medium 125 90 NA NA 37 46 60 190.5 84.4
## 169 small 138 88 NA NA 39 43 180 160.0 71.7
## 170 small 230 120 235 120 38 42 60 165.1 65.8
## 171 small 122 86 NA NA 28 37 270 160.0 54.0
## 172 medium 142 78 136 84 52 59 420 170.2 127.9
## 173 large 136 86 NA NA 38 40 240 175.3 77.6
## 174 large 138 66 NA NA 37 41 210 175.3 78.0
## 175 small 132 80 NA NA 33 39 990 165.1 62.6
## 176 medium 148 76 148 78 38 37 90 185.4 84.8
## 177 medium 140 90 NA NA 38 45 90 167.6 85.7
## 178 small 118 69 NA NA 40 47 780 149.9 92.5
## 179 large 186 102 190 110 46 44 360 167.6 97.5
## 180 large 140 72 NA NA 45 46 480 165.1 75.8
## 181 medium 200 94 208 90 45 46 195 167.6 85.7
## 182 small 110 78 NA NA 34 41 60 182.9 81.6
## 183 small 118 68 NA NA 33 45 150 165.1 74.8
## 184 medium 146 98 136 96 37 44 30 180.3 81.2
## 185 large 136 90 NA NA 44 42 120 175.3 92.5
## 186 large 140 90 136 86 40 53 45 160.0 105.7
## 187 medium 142 92 148 98 37 43 90 180.3 95.3
## 188 medium 136 96 130 98 36 43 630 180.3 88.5
## 189 medium 180 96 176 94 41 47 720 160.0 90.3
## 190 medium 110 80 NA NA 39 45 300 162.6 83.9
## 191 medium 140 102 148 102 32 38 80 170.2 66.7
## 192 small 142 96 140 86 29 37 135 154.9 54.0
## 193 medium 132 82 NA NA 37 40 210 167.6 77.6
## 194 small 104 80 NA NA 39 44 10 157.5 83.5
## 195 small 138 82 NA NA 37 43 90 170.2 71.7
## 196 small 122 76 NA NA 37 38 360 NA 59.0
## 197 small 142 70 NA NA 34 38 240 165.1 60.8
## 198 large 118 72 NA NA 50 47 720 167.6 113.9
## 199 medium 190 110 170 90 44 48 720 154.9 90.7
## 200 medium 118 86 NA NA 32 33 120 177.8 63.5
## 201 small 180 105 165 105 30 37 15 160.0 51.7
## 202 medium 140 80 NA NA 34 43 780 170.2 94.8
## 203 large 160 78 158 84 45 48 60 172.7 95.3
## 204 medium 142 80 142 90 47 45 30 162.6 81.2
## 205 small 170 88 180 100 33 34 435 165.1 49.4
## 206 small 199 115 190 99 29 33 120 139.7 59.0
## 207 medium 131 79 NA NA 33 38 150 167.6 65.8
## 208 medium 190 118 NA NA 44 47 120 157.5 75.8
## 209 small 110 76 NA NA 37 43 60 172.7 81.2
## 210 medium 190 100 170 86 40 42 120 160.0 65.3
## 211 small 135 75 NA NA 29 35 720 175.3 59.0
## 212 medium 120 80 NA NA 34 43 60 160.0 74.4
## 213 medium 178 88 160 82 45 46 180 165.1 91.2
## 214 medium 122 74 NA NA 38 38 180 190.5 84.4
## 215 small 110 76 NA NA 30 35 180 185.4 78.9
## 216 small NA NA NA NA 32 37 NA 162.6 61.7
## 217 small 125 64 NA NA 26 33 720 157.5 47.6
## 218 small 137 74 NA NA 33 35 720 175.3 59.0
## 219 medium 130 70 NA NA 32 38 60 160.0 56.2
## 220 medium 180 86 NA NA 41 46 720 160.0 77.1
## 221 small 130 70 NA NA 31 40 90 157.5 60.8
## 222 small 102 56 NA NA 33 42 720 165.1 74.8
## 223 large 130 73 NA NA 38 41 240 170.2 86.6
## 224 medium 152 100 140 100 37 43 60 165.1 79.4
## 225 170 90 150 100 39 47 240 154.9 81.6
## 226 medium 118 78 NA NA 35 39 120 172.7 64.4
## 227 large 160 66 150 80 34 41 720 154.9 66.7
## 228 small 150 110 150 90 28 37 270 167.6 49.9
## 229 large 165 115 160 96 40 43 720 175.3 92.5
## 230 medium 142 100 144 110 38 46 210 160.0 82.1
## 231 medium 132 86 NA NA 37 41 210 177.8 84.8
## 232 large 140 75 NA NA 38 44 720 NA 86.2
## 233 large 184 76 180 84 37 42 60 177.8 82.1
## 234 medium 176 110 150 102 35 37 60 170.2 63.5
## 235 large 150 74 146 76 46 49 30 170.2 91.2
## 236 medium 170 96 178 96 38 42 90 172.7 88.9
## 237 medium 130 80 NA NA 32 40 15 160.0 69.4
## 238 small 122 68 NA NA 38 39 300 172.7 77.1
## 239 large 116 53 NA NA 40 41 180 167.6 85.3
## 240 large 158 98 159 80 45 48 180 149.9 81.2
## 241 large 122 90 NA NA 48 49 720 182.9 117.5
## 242 medium 140 65 NA NA 41 47 180 167.6 90.7
## 243 medium 123 82 NA NA 35 39 900 180.3 73.5
## 244 large 118 78 NA NA 33 40 720 157.5 64.0
## 245 medium 131 75 NA NA 36 39 20 172.7 83.0
## 246 medium 108 58 NA NA 30 44 240 170.2 72.6
## 247 small 136 86 NA NA 29 40 240 165.1 54.4
## 248 small 121 75 NA NA 32 35 60 165.1 65.8
## 249 large 162 75 NA NA 38 44 300 162.6 78.9
## 250 medium 100 72 NA NA 45 58 180 160.0 114.3
## 251 medium 108 58 NA NA 33 40 240 152.4 61.2
## 252 small 150 78 NA NA 33 41 900 160.0 70.3
## 253 medium 120 75 NA NA 40 42 720 160.0 81.2
## 254 large 100 60 NA NA 40 45 540 180.3 95.7
## 255 small 105 82 NA NA 31 37 720 157.5 52.2
## 256 medium 125 70 NA NA 41 47 720 167.6 86.2
## 257 large 175 80 152 102 55 62 300 160.0 131.5
## 258 medium 140 89 NA NA 36 39 720 180.3 76.2
## 259 large 118 66 NA NA 47 52 360 167.6 115.7
## 260 medium 150 99 130 80 37 41 360 175.3 93.0
## 261 medium 150 98 142 90 42 47 60 185.4 117.9
## 262 medium 142 79 NA NA 43 51 120 182.9 113.4
## 263 large 106 82 NA NA 39 38 420 175.3 75.3
## 264 medium 130 82 NA NA 35 42 240 160.0 77.1
## 265 large 140 65 NA NA 42 39 270 175.3 82.6
## 266 large 140 70 NA NA 34 44 60 160.0 79.8
## 267 medium 108 76 NA NA 34 42 90 162.6 65.8
## 268 large 130 82 NA NA 40 40 60 167.6 78.0
## 269 large 150 99 150 85 50 49 840 180.3 125.6
## 270 medium 138 90 NA NA 36 47 90 175.3 75.8
## 271 small 130 96 130 90 39 41 480 175.3 93.0
## 272 medium 122 96 126 96 38 40 NA 170.2 83.0
## 273 small 118 61 NA NA 26 37 240 165.1 55.8
## 274 small 121 75 NA NA 31 36 720 160.0 58.1
## 275 medium 120 80 NA NA 43 45 720 165.1 83.0
## 276 small 125 60 NA NA 30 36 720 157.5 44.9
## 277 large 136 70 NA NA 45 49 150 182.9 122.5
## 278 small 140 90 NA NA 31 39 330 152.4 62.6
## 279 large 142 98 142 96 50 60 690 160.0 129.3
## 280 medium 130 78 NA NA 38 42 720 172.7 81.6
## 281 large 150 81 NA NA 36 45 300 160.0 72.6
## 282 medium 131 75 NA NA 34 39 120 180.3 77.1
## 283 127 71 NA NA 43 47 600 154.9 83.9
## 284 medium 126 78 NA NA 36 40 795 177.8 73.9
## 285 medium 148 82 158 80 38 49 135 132.1 84.8
## 286 small 140 86 128 74 33 39 240 154.9 58.1
## 287 small 106 82 NA NA 36 44 10 157.5 69.4
## 288 medium 132 80 NA NA 31 39 480 157.5 56.7
## 289 small 110 68 NA NA 31 39 10 175.3 70.3
## 290 medium 220 100 202 98 45 54 375 162.6 101.2
## 291 medium 180 110 190 114 37 40 30 177.8 73.0
## 292 large 100 70 NA NA 41 44 30 170.2 98.0
## 293 medium 212 114 210 112 38 46 150 160.0 81.2
## 294 medium 134 74 NA NA 44 47 270 172.7 103.0
## 295 medium 162 88 150 80 38 39 570 175.3 72.1
## 296 small 122 62 NA NA 32 38 720 188.0 77.1
## 297 small 138 80 NA NA 32 38 30 167.6 62.6
## 298 small 112 78 NA NA 28 35 120 160.0 51.7
## 299 medium 128 90 138 90 48 53 330 162.6 108.4
## 300 medium 148 92 138 84 38 46 10 157.5 78.9
## 301 small 130 76 NA NA 35 46 5 165.1 85.3
## 302 small 110 64 NA NA 40 49 60 165.1 89.8
## 303 small 122 64 NA NA 31 39 90 162.6 51.7
## 304 medium 136 86 NA NA 41 52 105 172.7 102.1
## 305 medium 172 124 176 124 33 40 30 160.0 64.9
## 306 medium 138 78 NA NA 36 48 1260 170.2 66.2
## 307 small 122 86 NA NA 32 39 390 177.8 64.0
## 308 small 120 68 NA NA 33 40 420 165.1 68.5
## 309 medium 110 80 NA NA 49 58 15 162.6 112.5
## 310 small 138 76 NA NA 33 38 420 188.0 68.9
## 311 small 138 84 NA NA 32 40 270 152.4 59.0
## 312 medium 250 100 NA NA 41 46 60 157.5 74.8
## 313 medium 138 88 NA NA 39 40 45 177.8 81.6
## 314 medium 116 76 NA NA 34 39 180 180.3 73.9
## 315 large 150 92 130 86 37 42 390 167.6 81.2
## 316 medium 138 84 NA NA 36 42 150 154.9 70.8
## 317 small 110 64 NA NA 31 38 15 162.6 59.0
## 318 small 120 60 NA NA 40 47 300 NA 72.6
## 319 medium 130 75 NA NA 44 47 720 175.3 95.3
## 320 small 148 81 NA NA 31 37 240 185.4 74.4
## 321 small 135 88 NA NA 30 34 15 167.6 52.2
## 322 small 140 94 130 95 36 43 330 157.5 72.1
## 323 small 110 58 NA NA 33 38 120 182.9 64.0
## 324 small 145 72 142 70 35 39 30 175.3 76.7
## 325 large 142 81 NA NA 43 49 480 177.8 82.1
## 326 small 118 62 NA NA 35 41 180 182.9 81.6
## 327 medium 131 111 130 80 42 46 300 167.6 94.8
## 328 140 112 138 89 37 42 30 180.3 95.3
## 329 large 140 87 NA NA 53 56 240 157.5 107.5
## 330 small 140 70 NA NA 35 38 150 175.3 73.9
## 331 medium 130 75 NA NA 40 41 180 188.0 83.9
## 332 small 128 94 124 96 39 43 270 170.2 81.6
## 333 142 78 141 80 47 58 10 160.0 111.1
## 334 small 136 88 NA NA 33 39 300 177.8 68.0
## 335 medium 128 82 NA NA 37 43 240 162.6 66.2
## 336 medium 110 60 NA NA 34 37 20 172.7 65.8
## 337 medium 108 68 NA NA NA NA 330 157.5 64.4
## 338 medium 152 92 162 92 42 49 20 162.6 89.8
## 339 small 90 48 NA NA 35 38 240 162.6 67.1
## 340 medium 122 90 NA NA 43 46 150 165.1 90.7
## 341 large 140 75 NA NA 39 44 300 175.3 86.2
## 342 large 126 80 NA NA 38 46 540 160.0 82.6
## 343 small 130 82 NA NA 40 52 240 154.9 99.8
## 344 medium 135 100 170 98 39 47 150 162.6 81.2
## 345 small 122 74 NA NA 48 51 150 170.2 96.2
## 346 medium 135 80 NA NA 34 46 30 152.4 74.8
## 347 medium 162 108 158 110 47 55 60 167.6 116.6
## 348 large 140 72 NA NA 39 41 195 175.3 83.5
## 349 110 80 NA NA 41 45 90 180.3 83.0
## 350 large 172 110 168 108 41 45 180 170.2 98.9
## 351 medium 138 92 135 88 32 37 450 185.4 81.2
## 352 medium 142 90 142 92 42 54 225 162.6 103.4
## 353 large 130 100 170 114 48 51 75 175.3 131.1
## 354 small 140 98 142 102 36 40 195 175.3 69.4
## 355 large 178 100 170 96 47 52 210 170.2 106.6
## 356 medium 162 90 152 90 33 42 180 152.4 65.3
## 357 large 134 78 NA NA 43 46 195 165.1 83.0
## 358 small 124 94 110 74 35 38 330 170.2 69.9
## 359 large 142 96 142 98 43 45 285 175.3 98.0
## 360 small 120 80 NA NA 41 42 240 170.2 82.1
## 361 small 140 90 140 90 43 47 150 167.6 91.6
## 362 small 124 82 NA NA 37 45 15 162.6 72.6
## 363 medium 130 72 NA NA 36 41 60 149.9 55.8
## 364 small 100 50 NA NA 41 50 210 165.1 89.4
## 365 small 144 88 146 82 41 48 210 152.4 87.1
## 366 medium 110 72 NA NA 40 45 1440 170.2 84.8
## 367 medium 156 88 158 86 47 48 390 180.3 96.2
## 368 medium 148 98 130 100 40 42 900 175.3 84.4
## 369 small 160 100 160 100 44 41 1440 157.5 73.5
## 370 small 110 70 NA NA 33 38 90 162.6 54.4
## 371 small 122 80 NA NA 37 41 260 167.6 68.9
## 372 medium 140 100 136 100 44 53 240 147.3 95.3
## 373 medium 140 100 136 92 32 42 270 149.9 67.1
## 374 medium 140 100 138 82 34 46 270 147.3 77.1
## 375 small 125 80 NA NA 33 37 180 172.7 71.2
## 376 small 170 96 160 94 30 37 15 175.3 58.5
## 377 large 144 82 144 80 38 43 480 177.8 95.7
## 378 medium 124 84 NA NA 36 44 240 182.9 85.7
## 379 medium 170 110 166 108 30 33 780 177.8 54.4
## 380 medium 110 64 NA NA 32 34 300 160.0 54.9
## 381 120 98 122 100 32 41 60 142.2 54.4
## 382 large 142 79 NA NA 36 38 900 172.7 76.7
## 383 small 140 90 138 84 42 46 40 157.5 84.4
## 384 medium 130 94 130 88 42 48 450 177.8 118.8
## 385 medium 120 84 NA NA 40 44 1020 182.9 100.7
## 386 medium 128 82 NA NA 41 51 210 170.2 100.7
## 387 medium 140 96 148 100 37 47 60 157.5 81.2
## 388 large 174 90 174 84 48 50 180 172.7 101.6
## 389 small 118 78 NA NA 31 38 180 182.9 74.8
## 390 large 146 94 149 94 39 41 30 167.6 83.9
## 391 medium 144 94 142 92 34 42 480 157.5 66.7
## 392 medium 130 78 NA NA 39 45 60 157.5 80.3
## 393 large 110 70 NA NA 38 39 540 167.6 65.8
## 394 large 130 110 170 118 NA NA 60 165.1 66.2
## 395 medium 140 95 130 94 40 42 60 152.4 69.9
## 396 medium 190 94 172 100 33 39 480 167.6 61.7
## 397 medium 132 90 126 80 38 42 330 167.6 76.2
## 398 medium 218 90 238 90 31 41 210 154.9 52.2
## 399 medium 138 94 130 94 35 39 210 175.3 78.5
## 400 medium 140 100 146 102 32 43 180 160.0 69.9
## 401 small 120 70 NA NA 33 40 20 175.3 75.8
## 402 medium 120 78 NA NA 41 48 255 160.0 89.4
## 403 medium 100 72 NA NA 49 58 900 162.6 99.8
## waist_cm hip_cm BMI BMI_class gender_num BFP WHR
## 1 73.7 96.5 22.13152 Normal weight 0 31.73782 0.7637306
## 2 116.8 121.9 37.40720 Obese 0 46.15864 0.9581624
## 3 124.5 144.8 48.38708 Obese 0 66.00449 0.8598066
## 4 83.8 96.5 18.64123 Normal weight 1 21.57948 0.8683938
## 5 111.8 104.1 27.82873 Overweight 1 31.91448 1.0739673
## 6 91.4 106.7 26.51648 Overweight 1 23.43977 0.8566073
## 7 116.8 124.5 28.18085 Overweight 1 24.51702 0.9381526
## 8 86.4 99.1 34.31240 Obese 1 33.48488 0.8718466
## 9 86.4 101.6 24.50367 Normal weight 1 23.55440 0.8503937
## 10 114.3 127.0 35.78125 Obese 0 50.18750 0.9000000
## 11 99.1 114.3 25.97402 Overweight 0 39.56882 0.8670166
## 12 106.7 127.0 40.78850 Obese 0 52.28620 0.8401575
## 13 88.9 104.1 33.19590 Obese 0 40.64508 0.8539866
## 14 94.0 109.2 33.28881 Obese 0 43.74658 0.8608059
## 15 91.4 101.6 27.00936 Overweight 1 24.49123 0.8996063
## 16 94.0 104.1 26.12076 Overweight 0 33.53491 0.9029779
## 17 94.0 109.2 30.44977 Obese 0 42.63972 0.8608059
## 18 78.7 99.1 24.88950 Normal weight 1 18.26740 0.7941473
## 19 76.2 86.4 21.63490 Normal weight 1 18.04188 0.8819444
## 20 116.8 129.5 32.61427 Obese 0 47.99712 0.9019305
## 21 106.7 104.1 27.85829 Overweight 1 33.32995 1.0249760
## 22 114.3 116.8 36.00520 Obese 1 37.81624 0.9785959
## 23 121.9 139.7 42.49906 Obese 0 54.33887 0.8725841
## 24 121.9 111.8 33.82212 Obese 0 50.36655 1.0903399
## 25 83.8 96.5 21.38034 Normal weight 0 25.77640 0.8683938
## 26 71.1 91.4 15.99287 Underweight 0 23.22144 0.7778993
## 27 109.2 119.4 38.32318 Obese 1 38.29782 0.9145729
## 28 68.6 83.8 15.22198 Underweight 1 13.10638 0.8186158
## 29 78.7 96.5 26.52557 Overweight 0 36.32069 0.8155440
## 30 94.0 99.1 27.10924 Overweight 1 25.53109 0.9485368
## 31 94.0 101.6 28.94562 Overweight 0 38.99474 0.9251969
## 32 73.7 88.9 21.15654 Normal weight 1 21.14785 0.8290214
## 33 99.1 104.1 24.50204 Normal weight 1 27.23244 0.9519693
## 34 124.5 109.2 25.67516 Overweight 0 39.44019 1.1401099
## 35 81.3 86.4 19.04609 Normal weight 1 12.40530 0.9409722
## 36 99.1 111.8 30.04654 Obese 0 41.46584 0.8864043
## 37 78.7 88.9 25.66772 Overweight 1 22.65126 0.8852643
## 38 116.8 124.5 27.80069 Overweight 1 27.74083 0.9381526
## 39 78.7 91.4 20.24112 Normal weight 1 21.19934 0.8610503
## 40 114.3 121.9 31.59769 Obese 1 37.81723 0.9376538
## 41 88.9 101.6 25.84572 Overweight 0 30.67486 0.8750000
## 42 101.6 109.2 31.08088 Obese 0 43.85705 0.9304029
## 43 101.6 106.7 30.06762 Obese 1 28.16114 0.9522024
## 44 109.2 124.5 31.63384 Obese 1 31.65061 0.8771084
## 45 101.6 101.6 27.63684 Overweight 0 44.32420 1.0000000
## 46 124.5 144.8 39.97918 Obese 0 51.08502 0.8598066
## 47 106.7 106.7 25.82156 Overweight 0 38.00587 1.0000000
## 48 106.7 109.2 30.68899 Obese 1 34.42679 0.9771062
## 49 101.6 111.8 29.93615 Overweight 0 39.72339 0.9087657
## 50 109.2 132.1 35.35096 Obese 0 49.67115 0.8266465
## 51 94.0 104.1 25.64384 Overweight 1 32.05261 0.9029779
## 52 91.4 116.8 31.05289 Obese 0 41.75347 0.7825342
## 53 109.2 119.4 35.34215 Obese 0 51.96058 0.9145729
## 54 99.1 111.8 28.67003 Overweight 0 39.35403 0.8864043
## 55 129.5 137.2 42.96953 Obese 0 62.26344 0.9438776
## 56 124.5 147.3 41.67604 Obese 0 49.21125 0.8452138
## 57 96.5 104.1 27.35933 Overweight 1 30.89120 0.9269933
## 58 129.5 129.5 39.66742 Obese 0 63.36091 1.0000000
## 59 109.2 119.4 34.54775 Obese 0 47.32729 0.9145729
## 60 101.6 114.3 30.82974 Obese 0 41.71569 0.8888889
## 61 106.7 121.9 32.42187 Obese 0 50.52625 0.8753076
## 62 86.4 101.6 23.09188 Normal weight 1 19.79026 0.8503937
## 63 109.2 121.9 33.72048 Obese 0 46.79457 0.8958162
## 64 78.7 88.9 NA <NA> 0 NA 0.8852643
## 65 88.9 99.1 23.66127 Normal weight 1 19.32353 0.8970737
## 66 71.1 81.3 21.63490 Normal weight 0 27.00188 0.8745387
## 67 71.1 88.9 25.03401 Overweight 0 29.70082 0.7997750
## 68 86.4 106.7 29.21875 Overweight 0 45.99250 0.8097470
## 69 78.7 83.8 19.29648 Normal weight 0 35.23578 0.9391408
## 70 88.9 96.5 24.00599 Normal weight 0 44.33719 0.9212435
## 71 104.1 99.1 29.86949 Overweight 1 28.84339 1.0504541
## 72 111.8 119.4 36.15349 Obese 0 43.27419 0.9363484
## 73 94.0 101.6 27.61098 Overweight 0 32.33317 0.9251969
## 74 109.2 137.2 40.16725 Obese 0 52.00070 0.7959184
## 75 78.7 88.9 17.74581 Underweight 1 17.05498 0.8852643
## 76 88.9 101.6 27.94311 Overweight 0 45.61173 0.8750000
## 77 94.0 114.3 33.45931 Obese 0 45.33117 0.8223972
## 78 91.4 101.6 24.83168 Normal weight 1 24.63802 0.8996063
## 79 116.8 127.0 31.13071 Obese 0 37.01685 0.9196850
## 80 96.5 104.1 27.30469 Overweight 0 40.70562 0.9269933
## 81 104.1 106.7 28.88882 Overweight 1 26.28658 0.9756326
## 82 101.6 111.8 26.47746 Overweight 0 40.40295 0.9087657
## 83 96.5 104.1 26.38687 Overweight 1 24.66424 0.9269933
## 84 96.5 114.3 34.30569 Obese 0 42.20683 0.8442695
## 85 94.0 101.6 27.42351 Overweight 0 39.69821 0.9251969
## 86 94.0 104.1 27.85829 Overweight 1 32.63995 0.9029779
## 87 106.7 134.6 NA <NA> 0 NA 0.7927192
## 88 101.6 124.5 37.49055 Obese 0 50.85866 0.8160643
## 89 94.0 106.7 27.61401 Overweight 0 42.68681 0.8809747
## 90 91.4 104.1 27.44772 Overweight 1 29.15727 0.8780019
## 91 86.4 101.6 25.71643 Overweight 1 23.39972 0.8503937
## 92 83.8 104.1 28.16406 Overweight 0 43.11687 0.8049952
## 93 73.7 76.2 20.79686 Normal weight 0 28.98623 0.9671916
## 94 91.4 109.2 30.10868 Obese 1 35.34041 0.8369963
## 95 88.9 111.8 28.96295 Overweight 0 35.56554 0.7951699
## 96 71.1 99.1 25.15625 Overweight 0 29.61750 0.7174571
## 97 73.7 99.1 28.08187 Overweight 0 37.72825 0.7436932
## 98 88.9 99.1 27.65625 Overweight 0 38.59750 0.8970737
## 99 101.6 127.0 36.61309 Obese 0 52.56571 0.8000000
## 100 106.7 109.2 30.86160 Obese 1 35.78392 0.9771062
## 101 106.7 116.8 35.42969 Obese 0 43.55562 0.9135274
## 102 86.4 99.1 22.74644 Normal weight 1 20.52572 0.8718466
## 103 106.7 129.5 38.38458 Obese 0 49.17150 0.8239382
## 104 91.4 101.6 25.10144 Overweight 1 25.42173 0.8996063
## 105 91.4 99.1 28.34041 Overweight 0 41.71849 0.9223007
## 106 101.6 104.1 31.01395 Obese 1 27.45674 0.9759846
## 107 104.1 106.7 31.31037 Obese 0 39.30244 0.9756326
## 108 88.9 101.6 25.23363 Overweight 0 43.97036 0.8750000
## 109 99.1 104.1 23.66127 Normal weight 1 30.36353 0.9519693
## 110 94.0 106.7 24.38882 Normal weight 1 28.70659 0.8809747
## 111 99.1 111.8 30.43067 Obese 1 27.67681 0.8864043
## 112 104.1 111.8 30.79001 Obese 1 26.72801 0.9311270
## 113 78.7 96.5 22.12815 Normal weight 1 18.63378 0.8155440
## 114 86.4 109.2 29.84255 Overweight 0 42.60106 0.7912088
## 115 81.3 96.5 22.50562 Normal weight 0 25.97674 0.8424870
## 116 86.4 99.1 23.09942 Normal weight 1 26.00930 0.8718466
## 117 99.1 121.9 40.74219 Obese 0 56.83062 0.8129614
## 118 83.8 101.6 28.00781 Overweight 0 40.39937 0.8248031
## 119 129.5 162.6 37.73783 Obese 1 40.58540 0.7964330
## 120 78.7 101.6 21.77919 Normal weight 1 19.36503 0.7746063
## 121 81.3 88.9 17.20820 Underweight 1 15.48984 0.9145107
## 122 96.5 109.2 26.92623 Overweight 0 40.48147 0.8836996
## 123 78.7 99.1 23.04767 Normal weight 1 19.27720 0.7941473
## 124 86.4 106.7 28.00781 Overweight 0 42.69937 0.8097470
## 125 81.3 101.6 19.97369 Normal weight 1 13.05843 0.8001969
## 126 99.1 109.2 28.13852 Overweight 0 33.19622 0.9075092
## 127 111.8 127.0 39.10777 Obese 0 46.81932 0.8803150
## 128 83.8 91.4 22.14844 Normal weight 0 29.45813 0.9168490
## 129 121.9 129.5 43.24219 Obese 0 62.82062 0.9413127
## 130 111.8 119.4 31.40757 Obese 1 36.20908 0.9363484
## 131 94.0 101.6 24.01777 Normal weight 0 33.31132 0.9251969
## 132 119.4 134.6 35.55643 Obese 0 44.39771 0.8870728
## 133 101.6 109.2 27.45968 Overweight 0 37.67162 0.9304029
## 134 96.5 111.8 27.80834 Overweight 0 41.77001 0.8631485
## 135 134.6 157.5 55.75148 Obese 0 71.39178 0.8546032
## 136 81.3 96.5 21.44531 Normal weight 0 31.37438 0.8424870
## 137 86.4 96.5 19.38094 Normal weight 1 19.93713 0.8953368
## 138 109.2 121.9 34.93505 Obese 0 49.17206 0.8958162
## 139 124.5 114.3 37.12922 Obese 1 39.62506 1.0892388
## 140 96.5 109.2 27.72020 Overweight 1 30.40425 0.8836996
## 141 83.8 116.8 30.11719 Obese 0 38.33062 0.7174658
## 142 81.3 104.1 22.19593 Normal weight 0 32.27511 0.7809798
## 143 78.7 83.8 19.54449 Normal weight 0 33.23339 0.9391408
## 144 94.0 101.6 27.44772 Overweight 1 30.30727 0.9251969
## 145 83.8 96.5 23.64675 Normal weight 0 33.32610 0.8683938
## 146 83.8 99.1 22.17909 Normal weight 1 22.37491 0.8456105
## 147 73.7 83.8 18.00387 Underweight 1 22.88464 0.8794749
## 148 129.5 124.5 39.73069 Obese 1 39.75683 1.0401606
## 149 99.1 104.1 29.26682 Overweight 0 39.15018 0.9519693
## 150 73.7 91.4 19.66973 Normal weight 1 12.00368 0.8063457
## 151 142.2 124.5 44.66580 Obese 1 48.89897 1.1421687
## 152 101.6 114.3 29.79088 Overweight 0 40.23906 0.8888889
## 153 94.0 109.2 26.30852 Overweight 1 34.23022 0.8608059
## 154 99.1 104.1 24.95925 Normal weight 1 21.80110 0.9519693
## 155 116.8 137.2 38.59416 Obese 0 51.72299 0.8513120
## 156 111.8 114.3 31.95275 Obese 1 39.39330 0.9781277
## 157 88.9 99.1 19.49046 Normal weight 1 21.44855 0.8970737
## 158 91.4 106.7 26.52557 Overweight 0 33.56069 0.8566073
## 159 101.6 114.3 30.84190 Obese 1 32.31028 0.8888889
## 160 116.8 137.2 41.18939 Obese 0 52.99726 0.8513120
## 161 132.1 147.3 45.46033 Obese 1 45.94239 0.8968092
## 162 76.2 94.0 NA <NA> 1 NA 0.8106383
## 163 91.4 109.2 27.11927 Overweight 0 45.77313 0.8369963
## 164 99.1 119.4 34.96220 Obese 0 42.76464 0.8299832
## 165 76.2 91.4 21.10538 Normal weight 0 30.73645 0.8336980
## 166 73.7 88.9 19.04609 Normal weight 0 25.04530 0.8290214
## 167 91.4 99.1 25.41467 Overweight 1 29.70761 0.9223007
## 168 94.0 116.8 23.25694 Normal weight 0 32.16832 0.8047945
## 169 99.1 109.2 28.00781 Overweight 0 33.03937 0.9075092
## 170 96.5 106.7 24.13969 Normal weight 0 35.29763 0.9044049
## 171 71.1 94.0 21.09375 Normal weight 0 26.12250 0.7563830
## 172 132.1 149.9 44.15211 Obese 0 59.31253 0.8812542
## 173 96.5 101.6 25.25212 Overweight 1 30.43255 0.9498031
## 174 94.0 104.1 25.38229 Overweight 1 25.75875 0.9029779
## 175 83.8 99.1 22.96573 Normal weight 0 34.57887 0.8456105
## 176 96.5 94.0 24.67041 Normal weight 1 26.97449 1.0265957
## 177 96.5 114.3 30.50934 Obese 0 44.78121 0.8442695
## 178 101.6 119.4 41.16598 Obese 0 53.19918 0.8509213
## 179 116.8 111.8 34.71016 Obese 1 38.79219 1.0447227
## 180 114.3 116.8 27.80834 Overweight 1 33.73001 0.9785959
## 181 114.3 116.8 30.50934 Obese 0 46.39121 0.9785959
## 182 86.4 104.1 24.39286 Normal weight 1 18.36143 0.8299712
## 183 83.8 114.3 27.44148 Overweight 0 37.18977 0.7331584
## 184 94.0 111.8 24.97840 Normal weight 1 23.66408 0.8407871
## 185 111.8 106.7 30.10079 Obese 1 37.17095 1.0477976
## 186 101.6 134.6 41.28906 Obese 0 59.09687 0.7548291
## 187 94.0 109.2 29.31578 Overweight 1 26.79894 0.8608059
## 188 91.4 109.2 27.22399 Overweight 1 24.97879 0.8369963
## 189 104.1 119.4 35.27344 Obese 0 50.95812 0.8718593
## 190 99.1 114.3 31.73371 Obese 0 40.96045 0.8670166
## 191 81.3 96.5 23.02538 Normal weight 0 32.58045 0.8424870
## 192 73.7 94.0 22.50562 Normal weight 0 37.24674 0.7840426
## 193 94.0 101.6 27.62573 Overweight 1 30.06087 0.9251969
## 194 99.1 111.8 33.66087 Obese 0 44.42305 0.8864043
## 195 94.0 109.2 24.75142 Normal weight 1 29.14170 0.8608059
## 196 94.0 96.5 NA <NA> 0 NA 0.9740933
## 197 86.4 96.5 22.30537 Normal weight 0 39.53644 0.8953368
## 198 127.0 119.4 40.54858 Obese 1 46.71830 1.0636516
## 199 111.8 121.9 37.80110 Obese 0 54.45132 0.9171452
## 200 81.3 83.8 20.08677 Normal weight 1 20.55413 0.9701671
## 201 76.2 94.0 20.19531 Normal weight 0 31.48438 0.8106383
## 202 86.4 109.2 32.72572 Obese 0 40.08087 0.7912088
## 203 114.3 121.9 31.95275 Obese 1 37.32330 0.9376538
## 204 119.4 114.3 30.71248 Obese 0 45.94498 1.0446194
## 205 83.8 86.4 18.12311 Underweight 1 23.48774 0.9699074
## 206 73.7 83.8 30.23147 Obese 1 35.71776 0.8794749
## 207 83.8 96.5 23.42491 Normal weight 1 19.03989 0.8683938
## 208 111.8 119.4 30.55682 Obese 0 45.98818 0.9363484
## 209 94.0 109.2 27.22522 Overweight 0 36.47026 0.8608059
## 210 101.6 106.7 25.50781 Overweight 0 39.23937 0.9522024
## 211 73.7 88.9 19.19942 Normal weight 1 13.27931 0.8290214
## 212 86.4 109.2 29.06250 Overweight 0 37.29500 0.7912088
## 213 114.3 116.8 33.45806 Obese 0 49.23967 0.9785959
## 214 96.5 96.5 23.25694 Normal weight 1 24.35832 1.0000000
## 215 76.2 88.9 22.95396 Normal weight 1 17.32475 0.8571429
## 216 81.3 94.0 23.33695 Normal weight 0 30.88434 0.8648936
## 217 66.0 83.8 19.18871 Normal weight 0 26.82646 0.7875895
## 218 83.8 88.9 19.19942 Normal weight 1 17.18931 0.9426322
## 219 81.3 96.5 21.95312 Normal weight 0 36.58375 0.8424870
## 220 104.1 116.8 30.11719 Obese 0 49.60062 0.8912671
## 221 78.7 101.6 24.50995 Normal weight 0 37.81194 0.7746063
## 222 83.8 106.7 27.44148 Overweight 0 34.42977 0.7853796
## 223 96.5 104.1 29.89502 Overweight 1 29.10402 0.9269933
## 224 94.0 109.2 29.12905 Overweight 0 41.97486 0.8608059
## 225 99.1 119.4 34.00849 Obese 0 51.97019 0.8299832
## 226 88.9 99.1 21.59241 Normal weight 1 20.52090 0.8970737
## 227 86.4 104.1 27.79860 Overweight 0 39.45833 0.8299712
## 228 71.1 94.0 17.76448 Underweight 0 27.64738 0.7563830
## 229 101.6 109.2 30.10079 Obese 1 30.27095 0.9304029
## 230 96.5 116.8 32.07031 Obese 0 41.82437 0.8261986
## 231 94.0 104.1 26.82454 Overweight 1 20.58945 0.9029779
## 232 96.5 111.8 NA <NA> 0 NA 0.8631485
## 233 94.0 106.7 25.97046 Overweight 1 29.45455 0.8809747
## 234 88.9 94.0 21.92071 Normal weight 1 21.60485 0.9457447
## 235 116.8 124.5 31.48297 Obese 0 42.49957 0.9381526
## 236 96.5 106.7 29.80692 Overweight 1 30.60830 0.9044049
## 237 81.3 101.6 27.10937 Overweight 0 36.56125 0.8001969
## 238 96.5 99.1 25.85054 Overweight 1 21.49065 0.9737639
## 239 101.6 104.1 30.36694 Obese 1 37.72033 0.9759846
## 240 114.3 121.9 36.13706 Obese 0 53.83447 0.9376538
## 241 121.9 124.5 35.12452 Obese 1 31.92943 0.9791165
## 242 104.1 119.4 32.28935 Obese 0 49.44722 0.8718593
## 243 88.9 99.1 22.60976 Normal weight 1 16.68171 0.8970737
## 244 83.8 101.6 25.79995 Overweight 0 35.21994 0.8248031
## 245 91.4 99.1 27.82873 Overweight 1 30.07448 0.9223007
## 246 76.2 111.8 25.06210 Overweight 0 31.80452 0.6815742
## 247 73.7 101.6 19.95744 Normal weight 0 25.67892 0.7253937
## 248 81.3 88.9 24.13969 Normal weight 0 29.77763 0.9145107
## 249 96.5 111.8 29.84255 Overweight 0 47.20106 0.8631485
## 250 114.3 147.3 44.64844 Obese 0 55.53812 0.7759674
## 251 83.8 101.6 26.35005 Overweight 0 30.59006 0.8248031
## 252 83.8 104.1 27.46094 Overweight 0 43.88312 0.8049952
## 253 101.6 106.7 31.71875 Obese 0 38.87250 0.9522024
## 254 101.6 114.3 29.43883 Overweight 1 26.25659 0.8888889
## 255 78.7 94.0 21.04308 Normal weight 0 24.45170 0.8372340
## 256 104.1 119.4 30.68734 Obese 0 38.55481 0.8718593
## 257 139.7 157.5 51.36719 Obese 0 70.50062 0.8869841
## 258 91.4 99.1 23.44032 Normal weight 1 22.04838 0.9223007
## 259 119.4 132.1 41.18939 Obese 0 52.30726 0.9038607
## 260 94.0 104.1 30.26350 Obese 1 28.39620 0.9029779
## 261 106.7 119.4 34.30002 Obese 1 35.77002 0.8936348
## 262 109.2 129.5 33.89890 Obese 1 31.37868 0.8432432
## 263 99.1 96.5 24.50367 Normal weight 1 27.69440 1.0269430
## 264 88.9 106.7 30.11719 Obese 0 41.78062 0.8331771
## 265 106.7 99.1 26.87919 Overweight 1 31.00503 1.0766902
## 266 86.4 111.8 31.17187 Obese 0 45.57625 0.7728086
## 267 86.4 106.7 24.88770 Normal weight 0 32.97524 0.8097470
## 268 101.6 101.6 27.76813 Overweight 1 35.06175 1.0000000
## 269 127.0 124.5 38.63654 Obese 1 35.45384 1.0200803
## 270 91.4 119.4 24.66638 Normal weight 0 32.93965 0.7654941
## 271 99.1 104.1 30.26350 Obese 1 28.85620 0.9519693
## 272 96.5 101.6 28.65227 Overweight 1 27.61272 0.9498031
## 273 66.0 94.0 20.47105 Normal weight 0 25.83526 0.7021277
## 274 78.7 91.4 22.69531 Normal weight 0 33.10437 0.8610503
## 275 109.2 114.3 30.44977 Obese 0 36.42972 0.9553806
## 276 76.2 91.4 18.10028 Underweight 0 22.99033 0.8336980
## 277 114.3 124.5 36.61919 Obese 1 36.94302 0.9180723
## 278 78.7 99.1 26.95283 Overweight 0 35.68340 0.7941473
## 279 127.0 152.4 50.50781 Obese 0 64.40937 0.8333333
## 280 96.5 106.7 27.35933 Overweight 1 23.30120 0.9044049
## 281 91.4 114.3 28.35937 Overweight 0 46.57125 0.7996500
## 282 86.4 99.1 23.71717 Normal weight 1 23.76061 0.8718466
## 283 109.2 119.4 34.96706 Obese 0 41.85047 0.9145729
## 284 91.4 101.6 23.37658 Normal weight 1 25.65189 0.8996063
## 285 96.5 124.5 48.59485 Obese 0 62.11382 0.7751004
## 286 83.8 99.1 24.21438 Normal weight 0 37.45725 0.8456105
## 287 91.4 111.8 27.97682 Overweight 0 37.37218 0.8175313
## 288 78.7 99.1 22.85714 Normal weight 0 28.92857 0.7941473
## 289 78.7 99.1 22.87660 Normal weight 1 16.08192 0.7941473
## 290 114.3 137.2 38.27714 Obese 0 55.02256 0.8330904
## 291 94.0 101.6 23.09188 Normal weight 1 26.00026 0.9251969
## 292 104.1 111.8 33.83039 Obese 1 34.28646 0.9311270
## 293 96.5 116.8 31.71875 Obese 0 43.24250 0.8261986
## 294 111.8 119.4 34.53445 Obese 1 39.96134 0.9363484
## 295 96.5 99.1 23.46235 Normal weight 1 24.83482 0.9737639
## 296 81.3 96.5 21.81417 Normal weight 1 18.02700 0.8424870
## 297 81.3 96.5 22.28570 Normal weight 0 34.91284 0.8424870
## 298 71.1 88.9 20.19531 Normal weight 0 23.89437 0.7997750
## 299 121.9 134.6 41.00041 Obese 0 53.69049 0.9056464
## 300 96.5 116.8 31.80650 Obese 0 38.74780 0.8261986
## 301 88.9 116.8 31.29355 Obese 0 41.58226 0.7611301
## 302 101.6 124.5 32.94444 Obese 0 44.02333 0.8160643
## 303 78.7 99.1 19.55462 Normal weight 0 22.66555 0.7941473
## 304 104.1 132.1 34.23269 Obese 0 42.11923 0.7880394
## 305 83.8 101.6 25.35156 Overweight 0 31.92187 0.8248031
## 306 91.4 121.9 22.85277 Normal weight 1 26.40333 0.7497949
## 307 81.3 99.1 20.24494 Normal weight 0 23.49393 0.8203835
## 308 83.8 101.6 25.13023 Overweight 0 32.11627 0.8248031
## 309 124.5 147.3 42.55116 Obese 0 54.40140 0.8452138
## 310 83.8 96.5 19.49411 Normal weight 1 21.22294 0.8683938
## 311 81.3 101.6 25.40283 Overweight 0 31.06339 0.8001969
## 312 104.1 116.8 30.15369 Obese 0 47.80443 0.8912671
## 313 99.1 101.6 25.81230 Overweight 1 31.33476 0.9753937
## 314 86.4 99.1 22.73280 Normal weight 1 15.90936 0.8718466
## 315 94.0 106.7 28.90733 Overweight 1 26.76880 0.8809747
## 316 91.4 106.7 29.50736 Overweight 0 39.66884 0.8566073
## 317 78.7 96.5 22.31572 Normal weight 0 36.55887 0.8155440
## 318 101.6 119.4 NA <NA> 0 NA 0.8509213
## 319 111.8 119.4 31.01195 Obese 0 41.70434 0.9363484
## 320 78.7 94.0 21.64479 Normal weight 1 22.88375 0.8372340
## 321 76.2 86.4 18.58328 Normal weight 1 16.44994 0.8819444
## 322 91.4 109.2 29.06526 Overweight 0 39.59831 0.8369963
## 323 83.8 96.5 19.13166 Normal weight 1 12.96799 0.8683938
## 324 88.9 99.1 24.95925 Normal weight 1 28.24110 0.8970737
## 325 109.2 124.5 25.97046 Overweight 1 29.91455 0.8771084
## 326 88.9 104.1 24.39286 Normal weight 1 19.97143 0.8539866
## 327 106.7 116.8 33.74895 Obese 1 30.73874 0.9135274
## 328 94.0 106.7 29.31578 Overweight 1 28.40894 0.8809747
## 329 134.6 142.2 43.33585 Obese 0 53.73302 0.9465541
## 330 88.9 96.5 24.04809 Normal weight 1 20.24771 0.9212435
## 331 101.6 104.1 23.73812 Normal weight 1 27.46574 0.9759846
## 332 99.1 109.2 28.16898 Overweight 0 34.84277 0.9075092
## 333 119.4 147.3 43.39844 Obese 0 52.42812 0.8105906
## 334 83.8 99.1 21.51025 Normal weight 1 15.59230 0.8456105
## 335 94.0 109.2 25.03900 Overweight 0 33.84679 0.8608059
## 336 86.4 94.0 22.06181 Normal weight 1 19.01418 0.9191489
## 337 NA NA 25.96120 Overweight 0 32.65344 NA
## 338 106.7 124.5 33.96528 Obese 0 47.31834 0.8570281
## 339 88.9 96.5 25.37941 Overweight 0 30.11529 0.9212435
## 340 109.2 116.8 33.27462 Obese 0 46.25955 0.9349315
## 341 99.1 111.8 28.05068 Overweight 1 27.81082 0.8864043
## 342 96.5 116.8 32.26562 Obese 0 45.50875 0.8261986
## 343 101.6 132.1 41.59371 Obese 0 49.34246 0.7691143
## 344 99.1 119.4 30.71248 Obese 0 43.64498 0.8299832
## 345 121.9 129.5 33.20901 Obese 0 42.96081 0.9413127
## 346 86.4 116.8 32.20562 Obese 0 41.06674 0.7397260
## 347 119.4 139.7 41.50979 Obese 0 51.31175 0.8546886
## 348 99.1 104.1 27.17206 Overweight 1 33.42648 0.9519693
## 349 104.1 114.3 25.53211 Overweight 0 33.51853 0.9107612
## 350 104.1 114.3 34.14107 Obese 1 35.11929 0.9107612
## 351 81.3 94.0 23.62308 Normal weight 1 20.19770 0.8648936
## 352 106.7 137.2 39.10925 Obese 0 53.03110 0.7776968
## 353 121.9 129.5 42.66177 Obese 1 41.20412 0.9413127
## 354 91.4 101.6 22.58373 Normal weight 1 22.86047 0.8996063
## 355 119.4 132.1 36.79918 Obese 0 48.41901 0.9038607
## 356 83.8 106.7 28.11533 Overweight 1 26.50840 0.7853796
## 357 109.2 116.8 30.44977 Obese 1 37.12972 0.9349315
## 358 88.9 96.5 24.13004 Normal weight 1 19.19605 0.9212435
## 359 109.2 114.3 31.89057 Obese 1 34.25868 0.9553806
## 360 104.1 106.7 28.34158 Overweight 1 29.07990 0.9756326
## 361 109.2 119.4 32.60975 Obese 0 46.38170 0.9145729
## 362 94.0 114.3 27.45968 Overweight 0 36.06162 0.8223972
## 363 91.4 104.1 24.83310 Normal weight 0 38.19972 0.8780019
## 364 104.1 127.0 32.79770 Obese 0 46.83724 0.8196850
## 365 104.1 121.9 37.50146 Obese 0 58.92176 0.8539787
## 366 101.6 114.3 29.27364 Overweight 0 34.32837 0.8888889
## 367 119.4 121.9 29.59263 Overweight 1 37.71116 0.9794914
## 368 101.6 106.7 27.46494 Overweight 1 30.55792 0.9522024
## 369 111.8 104.1 29.62963 Overweight 0 48.55556 1.0739673
## 370 83.8 96.5 20.57585 Normal weight 0 25.96102 0.8683938
## 371 94.0 104.1 24.52851 Normal weight 0 33.92421 0.9029779
## 372 111.8 134.6 43.92254 Obese 0 61.79704 0.8306092
## 373 81.3 106.7 29.86202 Overweight 0 38.94443 0.7619494
## 374 86.4 116.8 35.53439 Obese 0 41.84127 0.7397260
## 375 83.8 94.0 23.87236 Normal weight 1 22.56683 0.8914894
## 376 76.2 94.0 19.03672 Normal weight 1 19.06406 0.8106383
## 377 96.5 109.2 30.27251 Obese 1 33.46701 0.8836996
## 378 91.4 111.8 25.61848 Overweight 1 22.59218 0.8175313
## 379 76.2 83.8 17.20820 Underweight 1 16.40984 0.9093079
## 380 81.3 86.4 21.44531 Normal weight 0 34.13437 0.9409722
## 381 81.3 104.1 26.90294 Overweight 0 36.77353 0.7809798
## 382 91.4 96.5 25.71643 Overweight 1 28.22972 0.9471503
## 383 106.7 116.8 34.02368 Obese 0 43.01842 0.9135274
## 384 106.7 121.9 37.57967 Obese 1 37.40560 0.8753076
## 385 101.6 111.8 30.10246 Obese 1 29.12296 0.9087657
## 386 104.1 129.5 34.76245 Obese 0 45.05494 0.8038610
## 387 94.0 119.4 32.73369 Obese 0 41.24042 0.7872697
## 388 121.9 127.0 34.06505 Obese 0 49.27806 0.9598425
## 389 78.7 96.5 22.36012 Normal weight 1 17.53215 0.8155440
## 390 99.1 104.1 29.86854 Overweight 1 29.30224 0.9519693
## 391 86.4 106.7 26.88838 Overweight 0 38.82606 0.8097470
## 392 99.1 114.3 32.37087 Obese 0 47.01505 0.8670166
## 393 96.5 99.1 23.42491 Normal weight 1 29.84989 0.9737639
## 394 NA NA 24.28644 Normal weight 1 24.67373 NA
## 395 101.6 106.7 30.09589 Obese 0 36.46507 0.9522024
## 396 83.8 99.1 21.96530 Normal weight 1 18.66836 0.8456105
## 397 96.5 106.7 27.12732 Overweight 0 39.57279 0.9044049
## 398 78.7 104.1 21.75543 Normal weight 0 41.17652 0.7560038
## 399 88.9 99.1 25.54500 Overweight 1 26.64399 0.8970737
## 400 81.3 109.2 27.30469 Overweight 0 39.09562 0.7445055
## 401 83.8 101.6 24.66638 Normal weight 0 30.86965 0.8248031
## 402 104.1 121.9 34.92187 Obese 0 45.93625 0.8539787
## 403 124.5 147.3 37.74761 Obese 0 55.53713 0.8452138Q18: What correlates better with BMI: WHR or BFP?
# BMI estimates body fat using weight and height.
# BFP directly measures how much of your body is fat.
# WHR measures fat distribution.
# So, BMI and BFP, they are measuring very similar things, which means strong correlation.Summary statistics
Now, with this augmented data set, let us create some summary statistics.
Q19: How many women and men are there in the data set?
diabetes %>% count(gender)## gender n
## 1 female 234
## 2 male 169Q20: How many women and men are there from Buckingham and Louisa respectively in the data set?
diabetes %>% count(gender, location)## gender location n
## 1 female Buckingham 114
## 2 female Louisa 120
## 3 male Buckingham 86
## 4 male Louisa 83Q21: How many are in each of the BMI_class groups?
diabetes_3 %>% count(BMI_class)## BMI_class n
## 1 Normal weight 113
## 2 Obese 152
## 3 Overweight 123
## 4 Underweight 9
## 5 <NA> 6Q22: Given the code below, explain the difference between A and B?
teacher something is missing in this question
T9: For each BMI_class group, calculate the average
weight and associated standard deviation
diabetes_3 %>% group_by(BMI_class) %>% summarise(weight_mean=mean(weight_kg, na.rm = TRUE), weight_Standard_Deviation=sd(weight_kg, na.rm=TRUE))## # A tibble: 5 × 3
## BMI_class weight_mean weight_Standard_Deviation
## <chr> <dbl> <dbl>
## 1 Normal weight 66.0 9.82
## 2 Obese 96.9 15.8
## 3 Overweight 76.1 8.87
## 4 Underweight 51.5 6.02
## 5 <NA> 74.4 17.5Q23: What was the average age of the women living in Buckingham in the study?
diabetes %>%
filter(location == "Buckingham", gender == "female") %>%
summarize(mean_age = mean(age, na.rm = TRUE))## mean_age
## 1 46.5library(haven)
library(tidyverse)
library(readr)
library(readxl)data1<- read.csv("diabetes.csv")
data2<- data1 %>% select(-stab.glu, -bp.1s, -bp.1d, -bp.2s, -bp.2d, -time.ppn)
data2## id chol hdl ratio glyhb location age gender height weight frame waist
## 1 1000 203 56 3.6 4.31 Buckingham 46 female 62 121 medium 29
## 2 1001 165 24 6.9 4.44 Buckingham 29 female 64 218 large 46
## 3 1002 228 37 6.2 4.64 Buckingham 58 female 61 256 large 49
## 4 1003 78 12 6.5 4.63 Buckingham 67 male 67 119 large 33
## 5 1005 249 28 8.9 7.72 Buckingham 64 male 68 183 medium 44
## 6 1008 248 69 3.6 4.81 Buckingham 34 male 71 190 large 36
## 7 1011 195 41 4.8 4.84 Buckingham 30 male 69 191 medium 46
## 8 1015 227 44 5.2 3.94 Buckingham 37 male 59 170 medium 34
## 9 1016 177 49 3.6 4.84 Buckingham 45 male 69 166 large 34
## 10 1022 263 40 6.6 5.78 Buckingham 55 female 63 202 small 45
## 11 1024 242 54 4.5 4.77 Louisa 60 female 65 156 medium 39
## 12 1029 215 34 6.3 4.97 Louisa 38 female 58 195 medium 42
## 13 1030 238 36 6.6 4.47 Louisa 27 female 60 170 medium 35
## 14 1031 183 46 4.0 4.59 Louisa 40 female 59 165 medium 37
## 15 1035 191 30 6.4 4.67 Louisa 36 male 69 183 medium 36
## 16 1036 213 47 4.5 3.41 Louisa 33 female 65 157 medium 37
## 17 1037 255 38 6.7 4.33 Louisa 50 female 65 183 medium 37
## 18 1041 230 64 3.6 4.53 Louisa 20 male 67 159 medium 31
## 19 1045 194 36 5.4 5.28 Louisa 36 male 64 126 medium 30
## 20 1250 196 41 4.8 11.24 Buckingham 62 female 65 196 large 46
## 21 1252 186 50 3.7 6.49 Buckingham 70 male 67 178 large 42
## 22 1253 234 76 3.1 4.67 Buckingham 47 male 67 230 large 45
## 23 1254 203 43 4.7 12.74 Buckingham 38 female 69 288 large 48
## 24 1256 281 41 6.9 5.56 Buckingham 66 female 62 185 large 48
## 25 1271 228 45 5.1 4.61 Buckingham 24 female 61 113 medium 33
## 26 1277 179 92 1.9 4.18 Buckingham 41 female 72 118 small 28
## 27 1280 232 30 7.7 5.10 Buckingham 37 male 68 252 large 43
## 28 1281 NA NA NA 4.28 Buckingham 48 male 68 100 small 27
## 29 1282 254 52 4.9 4.52 Buckingham 43 female 62 145 medium 31
## 30 1285 215 42 5.1 4.37 Louisa 40 male 70 189 medium 37
## 31 1301 177 36 4.9 5.11 Buckingham 42 female 65 174 medium 37
## 32 1303 182 43 4.2 4.47 Buckingham 52 male 68 139 large 29
## 33 1304 265 34 7.8 15.52 Buckingham 61 male 74 191 medium 39
## 34 1305 182 37 4.9 5.66 Buckingham 61 female 69 174 medium 49
## 35 1309 199 63 3.2 3.67 Buckingham 25 male 66 118 medium 32
## 36 1312 183 60 3.1 4.03 Buckingham 47 female 66 186 medium 39
## 37 1313 194 67 2.9 2.68 Buckingham 35 male 66 159 medium 31
## 38 1314 190 32 5.9 3.56 Buckingham 46 male 72 205 medium 46
## 39 1315 173 57 3.0 6.21 Buckingham 57 male 71 145 medium 31
## 40 1316 182 43 4.2 7.91 Buckingham 70 male 69 214 large 45
## 41 1317 136 51 2.7 4.58 Buckingham 22 female 66 160 large 35
## 42 1321 218 46 4.7 3.89 Buckingham 52 female 62 170 medium 40
## 43 1323 225 42 5.4 4.38 Buckingham 36 male 67 192 large 40
## 44 1326 262 38 6.9 NA Buckingham 43 male 75 253 large 43
## 45 1500 213 40 5.3 5.96 Buckingham 72 female 59 137 large 40
## 46 1501 243 59 4.1 4.41 Buckingham 37 female 64 233 medium 49
## 47 1502 148 14 10.6 6.14 Buckingham 54 female 67 165 medium 42
## 48 2004 128 24 5.3 10.90 Buckingham 60 male 67 196 medium 42
## 49 2750 169 51 3.3 6.14 Buckingham 40 female 65 180 medium 40
## 50 2753 157 47 3.3 5.57 Buckingham 55 female 66 219 medium 43
## 51 2754 196 58 3.4 4.25 Buckingham 76 male 65 154 37
## 52 2756 237 41 5.8 5.35 Buckingham 43 female 64 181 medium 36
## 53 2757 212 45 4.7 6.33 Buckingham 65 female 61 187 large 43
## 54 2758 233 39 6.0 4.56 Buckingham 45 female 64 167 large 39
## 55 2762 289 50 5.8 9.39 Buckingham 70 female 60 220 medium 51
## 56 2763 193 63 3.1 6.35 Buckingham 20 female 68 274 small 49
## 57 2765 204 61 3.3 5.20 Buckingham 62 male 68 180 large 38
## 58 2770 165 69 2.4 4.98 Buckingham 92 female 62 217 large 51
## 59 2773 237 58 4.1 13.70 Buckingham 49 female 62 189 large 43
## 60 2774 218 39 5.6 NA Buckingham 44 female 66 191 large 40
## 61 2775 296 60 4.9 10.93 Buckingham 74 female 63 183 large 42
## 62 2777 178 59 3.0 5.23 Buckingham 36 male 70 161 medium 34
## 63 2778 443 23 19.3 14.31 Buckingham 51 female 70 235 medium 43
## 64 2780 145 29 5.0 3.99 Buckingham 38 female NA 125 31
## 65 2784 234 63 3.7 NA Buckingham 31 male 70 165 medium 35
## 66 2785 146 60 2.4 4.27 Buckingham 28 female 64 126 small 28
## 67 2787 223 85 2.6 4.25 Buckingham 22 female 62 137 medium 28
## 68 2791 213 75 2.8 11.41 Buckingham 71 female 63 165 medium 34
## 69 2793 173 69 2.5 4.44 Buckingham 76 female 61 102 medium 31
## 70 2794 232 114 2.0 8.40 Buckingham 91 female 61 127 35
## 71 2795 171 54 3.2 4.59 Buckingham 40 male 71 214 medium 41
## 72 3250 164 40 4.1 5.23 Buckingham 23 female 69 245 large 44
## 73 3750 170 64 2.7 4.39 Buckingham 20 female 64 161 medium 37
## 74 3751 180 69 2.6 5.20 Buckingham 40 female 68 264 medium 43
## 75 3752 204 74 2.8 6.11 Buckingham 52 male 75 142 small 31
## 76 4000 209 65 3.2 7.44 Buckingham 76 female 60 143 large 35
## 77 4500 242 53 4.6 5.47 Buckingham 46 female 62 183 medium 37
## 78 4501 134 42 3.2 4.29 Buckingham 48 male 70 173 large 36
## 79 4506 217 60 3.6 3.93 Buckingham 22 female 71 223 medium 46
## 80 4515 251 36 7.0 6.96 Buckingham 58 female 63 154 large 38
## 81 4517 217 40 5.4 4.84 Buckingham 34 male 73 219 medium 41
## 82 4750 300 44 6.8 5.18 Louisa 61 female 67 169 small 40
## 83 4751 218 38 5.7 5.52 Louisa 40 male 73 200 small 38
## 84 4753 189 47 4.0 4.38 Louisa 28 female 64 200 medium 38
## 85 4758 185 52 3.6 5.28 Louisa 53 female 61 145 medium 37
## 86 4759 206 46 4.5 4.82 Louisa 67 male 67 178 large 37
## 87 4760 218 54 4.0 10.55 Louisa 51 female NA 215 large 42
## 88 4761 189 72 2.6 4.86 Louisa 49 female 62 205 medium 40
## 89 4763 229 74 3.1 4.86 Louisa 65 female 62 151 medium 37
## 90 4767 228 53 4.3 4.11 Louisa 54 male 66 170 large 36
## 91 4770 159 43 3.7 5.02 Louisa 38 male 68 169 large 34
## 92 4771 249 44 5.7 9.17 Louisa 64 female 63 159 medium 33
## 93 4772 170 42 4.0 5.11 Louisa 41 female 61 110 small 29
## 94 4776 174 44 4.0 5.07 Louisa 67 male 68 198 large 36
## 95 4780 204 70 2.9 4.84 Louisa 27 female 67 185 medium 35
## 96 4783 203 75 2.7 4.10 Louisa 21 female 63 142 medium 28
## 97 4786 241 63 3.8 4.79 Louisa 41 female 59 139 medium 29
## 98 4787 245 39 6.3 7.79 Louisa 47 female 63 156 medium 35
## 99 4789 143 37 3.9 5.15 Louisa 61 female 65 220 large 40
## 100 4790 224 33 6.8 10.15 Louisa 65 male 67 197 medium 42
## 101 4792 168 45 3.7 4.17 Louisa 28 female 63 200 large 42
## 102 4793 184 39 4.7 4.05 Louisa 41 male 69 154 large 34
## 103 4794 199 48 4.1 5.44 Louisa 37 female 61 203 large 42
## 104 4795 158 48 3.3 4.31 Louisa 50 male 71 180 medium 36
## 105 4796 209 55 3.8 9.77 Louisa 57 female 61 150 small 36
## 106 4801 214 59 3.6 3.89 Louisa 28 male 68 204 medium 40
## 107 4802 293 94 3.1 5.17 Louisa 31 female 67 200 medium 41
## 108 4803 227 44 5.2 5.71 Louisa 83 female 59 125 medium 35
## 109 4805 292 55 5.3 7.87 Buckingham 79 male 70 165 39
## 110 4808 218 71 3.1 NA Buckingham 68 male 70 170 large 37
## 111 4813 244 36 6.8 4.66 Buckingham 32 male 70 212 39
## 112 4818 283 74 3.8 4.22 Louisa 26 male 72 227 large 41
## 113 4821 186 76 2.4 5.17 Louisa 36 male 69 150 small 31
## 114 4822 273 49 5.6 3.76 Louisa 53 female 64 174 medium 34
## 115 4823 193 49 3.9 4.31 Louisa 19 female 61 119 small 32
## 116 4825 194 34 5.7 4.61 Buckingham 63 male 73 175 medium 34
## 117 4826 231 61 3.8 NA Buckingham 58 female 63 230 large 39
## 118 4827 217 48 4.5 NA Buckingham 53 female 63 158 medium 33
## 119 4833 174 34 5.1 5.35 Buckingham 50 male 70 263 large 51
## 120 4835 225 82 2.7 4.36 Buckingham 41 male 71 156 small 31
## 121 4840 268 51 5.3 4.41 Louisa 48 male 70 120 small 32
## 122 4841 195 46 4.2 8.45 Louisa 59 female 67 172 small 38
## 123 4842 179 52 3.4 3.98 Louisa 34 male 72 170 medium 31
## 124 4843 215 44 3.9 9.76 Louisa 63 female 63 158 medium 34
## 125 10000 185 58 3.2 4.83 Buckingham 23 male 76 164 small 32
## 126 10001 132 34 3.9 4.01 Buckingham 21 female 65 169 large 39
## 127 10012 175 42 4.2 3.84 Louisa 23 female 65 235 medium 44
## 128 10014 179 35 5.1 4.95 Buckingham 36 female 63 125 medium 33
## 129 10016 228 61 3.7 6.39 Buckingham 71 female 63 244 large 48
## 130 10020 181 24 7.5 7.53 Buckingham 64 male 71 225 large 44
## 131 12002 160 36 4.4 4.62 Louisa 43 female 64 140 small 37
## 132 12004 188 45 4.2 4.79 Louisa 31 female 67 227 medium 47
## 133 12005 168 59 2.8 5.09 Louisa 44 female 64 160 small 40
## 134 12006 318 108 2.9 6.51 Louisa 60 female 65 167 medium 38
## 135 12501 192 44 4.4 4.86 Buckingham 43 female 64 325 large 53
## 136 12502 209 34 6.1 4.41 Buckingham 48 female 63 121 small 32
## 137 12506 129 42 3.1 6.13 Buckingham 56 male 74 151 small 34
## 138 12507 160 41 3.9 6.49 Buckingham 55 female 67 223 medium 43
## 139 12509 160 33 4.8 7.51 Buckingham 49 male 71 266 large 49
## 140 12751 211 34 6.2 6.97 Louisa 58 male 67 177 medium 38
## 141 12754 262 43 6.1 4.90 Louisa 33 female 63 170 medium 33
## 142 12760 201 87 2.3 4.81 Buckingham 48 female 68 146 small 32
## 143 12761 263 92 2.9 4.58 Buckingham 66 female 66 121 small 31
## 144 12763 219 73 3.0 9.18 Buckingham 59 male 66 170 medium 37
## 145 12765 191 88 2.2 5.46 Buckingham 45 female 67 151 small 33
## 146 12766 171 69 2.5 4.04 Buckingham 52 male 71 159 small 33
## 147 12768 219 73 3.0 5.23 Buckingham 76 male 64 105 medium 29
## 148 12769 347 42 8.3 6.34 Buckingham 36 male 70 277 large 51
## 149 12772 269 34 7.9 5.37 Buckingham 41 female 62 160 medium 39
## 150 12778 164 63 2.6 4.51 Buckingham 20 male 72 145 small 29
## 151 13250 181 26 7.0 9.58 Buckingham 50 male 71 320 large 56
## 152 13254 190 44 4.3 5.55 Buckingham 43 female 62 163 large 40
## 153 13500 255 34 7.5 5.60 Louisa 82 male 66 163 37
## 154 13501 218 32 6.8 4.87 Louisa 35 male 69 169 medium 39
## 155 13503 223 48 4.6 5.60 Buckingham 47 female 65 232 large 46
## 156 13505 254 37 6.9 12.97 Buckingham 75 male 68 210 large 44
## 157 14756 236 36 6.6 5.63 Buckingham 62 male 76 160 large 35
## 158 14758 176 55 3.2 4.50 Buckingham 31 female 62 145 small 36
## 159 15007 158 31 5.1 5.56 Louisa 50 male 70 215 large 40
## 160 15008 181 44 4.1 4.03 Louisa 39 female 66 255 medium 46
## 161 15010 151 48 3.1 4.38 Louisa 33 male 69 308 large 52
## 162 15012 115 36 3.2 13.60 Louisa 58 male 69 NA medium 30
## 163 15013 271 40 6.8 4.57 Louisa 81 female 64 158 medium 36
## 164 15016 190 44 4.3 4.66 Louisa 27 female 65 210 medium 39
## 165 15017 118 39 3.0 4.71 Louisa 47 female 64 123 small 30
## 166 15250 168 44 3.8 4.40 Buckingham 33 female 66 118 small 29
## 167 15252 254 39 6.5 9.25 Buckingham 67 male 68 167 large 36
## 168 15260 193 45 4.3 4.74 Buckingham 42 female 75 186 medium 37
## 169 15264 187 64 2.9 4.40 Buckingham 21 female 63 158 small 39
## 170 15271 212 49 4.3 5.49 Buckingham 51 female 65 145 small 38
## 171 15274 170 60 2.8 3.44 Buckingham 27 female 63 119 small 28
## 172 15276 215 36 6.0 9.82 Louisa 51 female 67 282 medium 52
## 173 15277 199 59 3.4 4.96 Louisa 71 male 69 171 large 38
## 174 15278 140 31 4.5 11.59 Louisa 50 male 69 172 large 37
## 175 15279 216 46 4.7 4.41 Louisa 54 female 65 138 small 33
## 176 15500 204 35 5.8 4.44 Buckingham 59 male 73 187 medium 38
## 177 15501 193 24 8.0 7.14 Buckingham 59 female 66 189 medium 38
## 178 15502 267 34 7.9 8.81 Louisa 40 female 59 204 small 40
## 179 15512 201 53 3.8 5.35 Louisa 58 male 66 215 large 46
## 180 15513 204 44 4.6 4.69 Louisa 72 male 65 167 large 45
## 181 15514 246 62 4.0 7.40 Louisa 66 female 66 189 medium 45
## 182 15515 229 43 5.3 4.73 Louisa 23 male 72 180 small 34
## 183 15516 172 46 3.7 4.52 Louisa 42 female 65 165 small 33
## 184 15517 197 37 5.3 4.95 Louisa 43 male 71 179 medium 37
## 185 15518 205 32 6.4 4.21 Louisa 75 male 69 204 large 44
## 186 15519 219 50 4.4 4.56 Louisa 65 female 63 233 large 40
## 187 15520 174 36 4.8 5.35 Louisa 34 male 71 210 medium 37
## 188 15521 192 30 6.4 4.04 Louisa 37 male 71 195 medium 36
## 189 15522 206 44 4.7 5.49 Louisa 61 female 63 199 medium 41
## 190 15527 160 44 3.6 4.64 Louisa 36 female 64 185 medium 39
## 191 15529 216 86 2.5 4.40 Louisa 45 female 67 147 medium 32
## 192 15540 236 82 2.9 5.24 Louisa 68 female 61 119 small 29
## 193 15542 205 41 5.0 NA Louisa 57 male 66 171 medium 37
## 194 15545 206 33 6.2 4.03 Louisa 41 female 62 184 small 39
## 195 15546 143 46 3.1 4.81 Louisa 68 male 67 158 small 37
## 196 15757 173 37 4.7 4.31 Buckingham 40 female NA 130 small 37
## 197 15758 235 37 6.4 5.23 Buckingham 79 female 65 134 small 34
## 198 15760 169 29 5.8 5.22 Buckingham 62 male 66 251 large 50
## 199 15761 283 39 7.3 8.25 Buckingham 63 female 61 200 medium 44
## 200 15762 174 77 2.3 4.95 Buckingham 55 male 70 140 medium 32
## 201 15763 271 90 3.0 4.01 Buckingham 55 female 63 114 small 30
## 202 15766 203 62 3.3 4.67 Buckingham 27 female 67 209 medium 34
## 203 15773 188 24 7.8 6.17 Louisa 66 male 68 210 large 45
## 204 15777 293 120 2.4 4.76 Louisa 63 female 64 179 medium 47
## 205 15779 215 100 2.2 4.66 Louisa 78 male 65 109 small 33
## 206 15782 207 46 4.5 4.82 Buckingham 68 male 55 130 small 29
## 207 15787 179 72 2.5 4.97 Buckingham 31 male 66 145 medium 33
## 208 15792 202 55 3.7 5.50 Buckingham 64 female 62 167 medium 44
## 209 15795 211 40 5.3 3.55 Buckingham 40 female 68 179 small 37
## 210 15797 211 29 7.3 10.09 Buckingham 61 female 63 144 medium 40
## 211 15798 151 47 3.2 4.01 Buckingham 28 male 69 130 small 29
## 212 15799 171 61 2.8 5.10 Buckingham 34 female 63 164 medium 34
## 213 15800 342 48 7.1 12.67 Buckingham 63 female 65 201 medium 45
## 214 15801 179 63 2.8 12.07 Buckingham 55 male 75 186 medium 38
## 215 15802 155 69 2.2 4.17 Buckingham 26 male 73 174 small 30
## 216 15805 197 46 4.3 4.75 Buckingham 36 female 64 136 small 32
## 217 15812 200 51 3.9 3.55 Buckingham 40 female 62 105 small 26
## 218 15813 237 52 4.6 NA Buckingham 45 male 69 130 small 33
## 219 15814 198 46 4.3 4.44 Buckingham 68 female 63 124 medium 32
## 220 15815 240 49 4.9 4.92 Buckingham 82 female 63 170 medium 41
## 221 15816 192 42 4.6 4.59 Buckingham 60 female 62 134 small 31
## 222 15818 145 54 2.7 4.73 Buckingham 30 female 65 165 small 33
## 223 15820 269 66 4.1 5.14 Buckingham 41 male 67 191 large 38
## 224 15821 240 57 4.2 5.74 Buckingham 54 female 65 175 medium 37
## 225 15827 205 42 4.9 4.87 Buckingham 72 female 61 180 39
## 226 15828 266 54 4.9 5.41 Buckingham 47 male 68 142 medium 35
## 227 16000 188 51 3.7 5.13 Buckingham 50 female 61 147 large 34
## 228 16001 222 87 2.6 4.64 Buckingham 51 female 66 110 small 28
## 229 16003 142 25 5.7 6.96 Buckingham 45 male 69 204 large 40
## 230 16004 268 48 5.6 5.36 Buckingham 38 female 63 181 medium 38
## 231 16005 174 117 1.5 5.53 Buckingham 20 male 70 187 medium 37
## 232 16016 214 35 6.1 5.38 Buckingham 44 female NA 190 large 38
## 233 17002 194 57 3.4 4.26 Louisa 63 male 70 181 large 37
## 234 17751 196 62 3.2 4.34 Louisa 50 male 67 140 medium 35
## 235 17752 207 46 4.5 8.57 Louisa 44 female 67 201 large 46
## 236 17754 204 56 3.6 5.02 Louisa 48 male 68 196 medium 38
## 237 17755 189 46 4.1 4.36 Louisa 41 female 63 153 medium 32
## 238 17756 179 50 3.6 3.33 Buckingham 29 male 68 170 small 38
## 239 17757 159 54 2.9 4.18 Buckingham 76 male 66 188 large 40
## 240 17760 260 60 4.3 4.78 Buckingham 69 female 59 179 large 45
## 241 17762 228 37 6.2 4.74 Buckingham 26 male 72 259 large 48
## 242 17765 242 55 4.4 3.97 Buckingham 70 female 66 200 medium 41
## 243 17766 227 66 3.4 6.42 Buckingham 25 male 71 162 medium 35
## 244 17767 208 51 4.1 6.48 Buckingham 42 female 62 141 large 33
## 245 17771 208 32 6.5 5.60 Buckingham 56 male 68 183 medium 36
## 246 17772 209 43 4.9 4.85 Buckingham 31 female 67 160 medium 30
## 247 17773 163 57 2.9 4.61 Buckingham 31 female 65 120 small 29
## 248 17776 201 46 4.4 4.10 Buckingham 27 female 65 145 small 32
## 249 17781 237 45 5.3 7.51 Buckingham 73 female 64 174 large 38
## 250 17784 176 34 5.2 4.24 Buckingham 32 female 63 252 medium 45
## 251 17790 146 41 3.6 4.76 Buckingham 19 female 60 135 medium 33
## 252 17791 231 110 2.1 3.75 Buckingham 71 female 63 155 small 33
## 253 17794 241 40 6.0 5.04 Buckingham 27 female 63 179 medium 40
## 254 17795 305 44 6.9 5.34 Buckingham 31 male 71 211 large 40
## 255 17800 149 49 3.0 4.50 Buckingham 20 female 62 115 small 31
## 256 17802 183 51 3.6 4.37 Buckingham 31 female 66 190 medium 41
## 257 17805 235 59 4.0 7.48 Buckingham 62 female 63 290 large 55
## 258 17808 244 39 6.3 4.36 Buckingham 44 male 71 168 medium 36
## 259 17813 199 77 2.6 4.74 Buckingham 36 female 66 255 large 47
## 260 17814 224 30 7.5 5.26 Buckingham 36 male 69 205 medium 37
## 261 17816 173 31 5.6 10.47 Buckingham 47 male 73 260 medium 42
## 262 17817 192 31 5.6 5.17 Buckingham 30 male 72 250 medium 43
## 263 17818 157 34 4.6 5.70 Buckingham 63 male 69 166 large 39
## 264 17819 172 56 3.1 3.59 Buckingham 48 female 63 170 medium 35
## 265 17828 170 33 5.2 6.42 Buckingham 65 male 69 182 large 42
## 266 17829 215 46 4.7 5.03 Buckingham 59 female 63 176 large 34
## 267 17830 214 47 4.6 4.41 Buckingham 37 female 64 145 medium 34
## 268 17834 195 29 6.7 5.68 Buckingham 78 male 66 172 large 40
## 269 17835 230 37 6.2 4.39 Buckingham 23 male 71 277 large 50
## 270 17841 206 38 5.4 4.07 Buckingham 38 female 69 167 medium 36
## 271 17846 147 34 4.3 4.62 Buckingham 38 male 69 205 small 39
## 272 17849 234 54 4.3 3.70 Buckingham 41 male 67 183 medium 38
## 273 20254 135 34 4.0 3.96 Buckingham 29 female 65 123 small 26
## 274 20258 226 83 2.7 NA Buckingham 49 female 63 128 small 31
## 275 20260 179 36 5.0 4.75 Buckingham 23 female 65 183 medium 43
## 276 20261 163 48 3.4 4.31 Buckingham 29 female 62 99 small 30
## 277 20267 191 33 5.8 5.35 Louisa 40 male 72 270 large 45
## 278 20271 138 40 3.5 4.80 Louisa 38 female 60 138 small 31
## 279 20272 184 36 5.1 4.81 Louisa 40 female 63 285 large 50
## 280 20274 181 44 4.1 4.88 Louisa 29 male 68 180 medium 38
## 281 20275 224 44 5.1 5.05 Louisa 78 female 63 160 large 36
## 282 20278 293 54 5.4 4.87 Buckingham 50 male 71 170 medium 34
## 283 20279 147 42 3.5 4.67 Buckingham 23 female 61 185 43
## 284 20288 198 62 3.2 4.43 Louisa 60 male 70 163 medium 36
## 285 20289 152 32 4.8 4.27 Louisa 40 female 52 187 medium 38
## 286 20290 277 62 4.5 5.03 Louisa 60 female 61 128 small 33
## 287 20292 219 63 3.5 4.40 Louisa 40 female 62 153 small 36
## 288 20293 182 44 4.1 4.67 Louisa 30 female 62 125 medium 31
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## 402 41752 199 52 3.8 4.49 Louisa 41 female 63 197 medium 41
## 403 41756 159 79 2.0 NA Louisa 68 female 64 220 medium 49
## hip
## 1 38
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## 6 42
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## 402 48
## 403 58write_dta(data2, "~/diabetes.dta")