# {r message=true, warning=false }
library(xlsx)
nv2.1 <- read.xlsx("C:/Users/ADMIN/Downloads/bwt_co_dieu_chinh (1).xlsx", sheetIndex = 1, header = T )
nv2.1
## id year bwt gestation parity age height weight smoke
## 1 1 1925 120 284 0 27 62 100 0
## 2 2 1925 112 267 1 22 62 138 0
## 3 3 1925 119 286 0 26 64 123 1
## 4 4 1925 124 287 0 27 62 105 1
## 5 5 1925 105 276 0 22 67 130 0
## 6 6 1925 120 289 1 31 59 102 0
## 7 7 1925 82 274 0 31 64 101 1
## 8 8 1925 111 278 0 29 65 145 1
## 9 1 1926 113 282 0 33 64 135 0
## 10 2 1926 134 297 0 27 67 170 1
## 11 3 1926 97 279 0 29 68 178 1
## 12 4 1926 125 292 0 22 65 122 0
## 13 5 1926 93 246 0 37 65 130 0
## 14 6 1926 146 280 0 23 61 145 0
## 15 7 1926 100 274 0 24 63 113 0
## 16 8 1926 103 250 0 40 59 140 0
## 17 1 1927 128 279 0 28 64 115 1
## 18 2 1927 145 308 0 35 64 110 1
## 19 3 1927 99 252 0 21 64 120 0
## 20 4 1927 110 262 0 25 66 140 0
## 21 5 1927 122 281 0 42 63 103 1
## 22 6 1927 112 283 1 21 62 102 1
## 23 7 1927 114 271 0 32 61 130 0
## 24 8 1927 114 276 0 26 62 127 0
## 25 1 1928 108 282 0 23 67 125 1
## 26 2 1928 116 295 0 32 65 120 0
## 27 3 1928 115 264 1 23 67 134 1
## 28 4 1928 125 279 0 23 63 104 1
## 29 5 1928 133 293 0 23 64 110 1
## 30 6 1928 132 278 0 20 64 150 1
## 31 7 1928 97 269 0 20 65 137 1
## 32 8 1928 75 247 0 36 64 120 1
## 33 1 1929 136 286 0 25 62 93 0
## 34 2 1929 126 278 0 26 64 150 1
## 35 3 1929 139 284 0 37 61 121 0
## 36 4 1929 138 294 0 40 64 125 0
## 37 5 1929 130 296 1 22 66 117 1
## 38 6 1929 146 263 0 39 53 110 1
## 39 7 1929 126 298 0 24 61 112 0
## 40 8 1929 169 296 0 33 67 185 0
## 41 1 1930 138 244 0 33 62 178 0
## 42 2 1930 111 285 0 29 65 130 0
## 43 3 1930 144 304 1 27 58 102 1
## 44 4 1930 142 284 0 39 66 132 0
## 45 5 1930 104 307 0 24 59 122 0
## 46 6 1930 122 275 0 30 68 140 0
## 47 7 1930 122 275 1 20 65 127 0
## 48 8 1930 94 271 0 36 61 130 1
## 49 1 1931 132 245 0 23 65 140 0
## 50 2 1931 126 282 0 33 62 117 0
## 51 3 1931 99 270 0 22 63 115 1
## 52 4 1931 115 278 0 23 60 102 1
## 53 5 1931 106 278 0 31 65 110 1
## 54 6 1931 128 292 0 32 66 130 0
## 55 7 1931 152 295 0 39 62 140 0
## 56 8 1931 150 287 0 36 62 135 0
## 57 1 1932 120 289 0 25 62 125 0
## 58 2 1932 109 291 0 39 64 107 0
## 59 3 1932 105 280 1 22 63 116 0
## 60 4 1932 102 280 0 38 67 140 0
## 61 5 1932 120 281 0 33 63 113 0
## 62 6 1932 119 277 0 24 63 120 1
## 63 7 1932 116 274 0 21 62 110 1
## 64 8 1932 144 248 0 30 70 145 0
## 65 1 1933 143 299 0 30 66 136 1
## 66 2 1933 136 291 0 41 66 191 0
## 67 3 1933 89 275 0 34 66 170 0
## 68 4 1933 140 294 0 25 61 103 0
## 69 5 1933 118 276 1 18 63 128 0
## 70 6 1933 135 278 0 27 66 148 0
## 71 7 1933 132 302 0 36 63 145 1
## 72 8 1933 144 291 0 28 67 130 0
## 73 1 1934 140 351 0 27 68 120 0
## 74 2 1934 119 286 0 22 63 185 1
## 75 3 1934 129 270 0 43 67 160 0
## 76 4 1934 133 276 1 22 63 119 0
## 77 5 1934 140 290 1 19 67 132 1
## 78 6 1934 129 235 0 24 66 135 0
## 79 7 1934 84 260 1 37 66 140 0
## 80 8 1934 143 313 0 20 68 150 0
## 81 1 1935 144 282 0 32 64 124 1
## 82 2 1935 103 267 1 21 66 150 1
## 83 3 1935 119 270 1 20 64 109 0
## 84 4 1935 127 290 0 35 66 165 0
## 85 5 1935 114 268 0 22 64 104 0
## 86 6 1935 116 293 1 28 62 108 0
## 87 7 1935 119 277 1 18 61 89 1
## 88 8 1935 145 304 1 25 63 109 1
## 89 1 1936 141 279 0 23 63 128 1
## 90 2 1936 124 284 1 17 62 112 0
## 91 3 1936 114 291 0 35 60 112 0
## 92 4 1936 104 274 1 20 62 115 1
## 93 5 1936 116 280 0 40 62 159 0
## 94 6 1936 100 275 0 27 64 111 1
## 95 7 1936 106 312 0 24 62 135 1
## 96 8 1936 121 285 0 34 64 110 0
## 97 1 1937 110 281 0 36 61 99 1
## 98 2 1937 155 286 0 31 66 127 0
## 99 3 1937 106 289 0 28 67 120 1
## 100 4 1937 119 275 0 42 67 156 1
## 101 5 1937 129 284 0 24 64 115 0
## 102 6 1937 138 257 0 38 67 138 0
## 103 7 1937 139 291 0 24 65 160 0
## 104 8 1937 105 256 0 31 66 142 0
## 105 1 1938 114 273 0 30 63 154 0
## 106 2 1938 122 282 1 21 66 110 0
## 107 3 1938 122 292 1 34 65 133 0
## 108 4 1938 152 301 0 29 65 150 0
## 109 5 1938 120 286 0 22 62 115 1
## 110 6 1938 123 282 0 22 65 130 0
## 111 7 1938 103 273 0 36 65 158 1
## 112 8 1938 134 286 0 25 64 125 0
## 113 1 1939 115 285 0 38 63 130 0
## 114 2 1939 113 285 0 26 66 140 0
## 115 3 1939 136 261 0 24 65 110 0
## 116 4 1939 123 284 1 20 65 120 1
## 117 5 1939 127 281 0 24 63 112 1
## 118 6 1939 113 288 1 21 61 120 0
## 119 7 1939 112 299 0 24 67 145 1
## 120 8 1939 129 294 1 21 65 132 0
## 121 1 1940 92 255 0 25 65 125 1
## 122 2 1940 122 273 0 26 66 210 0
## 123 3 1940 121 286 1 22 69 130 1
## 124 4 1940 143 273 0 19 66 135 0
## 125 5 1940 71 234 0 32 64 110 1
## 126 6 1940 129 280 1 24 65 140 1
## 127 7 1940 96 276 0 33 64 127 1
## 128 8 1940 114 276 0 24 63 110 0
## 129 1 1941 115 261 0 33 60 125 1
## 130 2 1941 126 293 1 27 62 111 0
## 131 3 1941 112 282 0 26 65 122 0
## 132 4 1941 131 308 0 40 65 160 0
## 133 5 1941 88 274 0 30 66 130 0
## 134 6 1941 122 280 0 24 67 127 1
## 135 7 1941 102 281 1 19 67 135 1
## 136 8 1941 97 265 0 30 61 110 0
## 137 1 1942 144 261 0 33 68 170 0
## 138 2 1942 116 277 0 41 64 124 1
## 139 3 1942 112 266 0 26 64 122 0
## 140 4 1942 141 319 1 20 67 140 1
## 141 5 1942 122 286 0 23 64 145 0
## 142 6 1942 132 281 1 21 67 140 0
## 143 7 1942 120 300 0 34 63 150 1
## 144 8 1942 160 292 0 28 64 120 0
## 145 1 1943 119 288 0 43 66 142 1
## 146 2 1943 102 294 0 21 65 130 1
## 147 3 1943 123 314 0 22 61 121 1
## 148 4 1943 129 277 0 30 66 142 1
## 149 5 1943 106 302 1 19 66 147 0
## 150 6 1943 120 269 1 40 63 130 0
## 151 7 1943 102 338 0 19 64 170 0
## 152 8 1943 65 237 0 31 67 130 0
## 153 1 1944 105 270 0 22 56 93 0
## 154 2 1944 110 181 0 27 64 133 0
## 155 3 1944 139 286 0 33 65 125 1
## 156 4 1944 113 282 1 36 59 140 0
## 157 5 1944 135 285 0 30 66 130 0
## 158 6 1944 114 283 1 20 65 115 0
## 159 7 1944 97 255 1 22 63 107 1
## 160 8 1944 145 288 0 28 64 116 0
## 161 1 1945 115 274 0 27 67 175 1
## 162 2 1945 133 285 1 30 64 160 0
## 163 3 1945 125 290 0 36 59 105 0
## 164 4 1945 119 292 0 33 62 118 1
## 165 5 1945 107 290 0 26 63 112 0
## 166 6 1945 130 280 0 29 66 135 0
## 167 7 1945 113 285 0 22 70 145 0
## 168 8 1945 95 273 0 23 60 90 0
## 169 1 1946 137 287 0 25 66 145 0
## 170 2 1946 125 283 0 29 65 125 0
## 171 3 1946 105 295 1 20 64 112 1
## 172 4 1946 109 295 1 23 63 103 1
## 173 5 1946 129 294 0 32 62 170 1
## 174 6 1946 117 286 0 32 66 127 1
## 175 7 1946 130 297 0 32 58 130 0
## 176 8 1946 139 293 1 21 69 130 0
## 177 1 1947 122 276 0 30 68 182 0
## 178 2 1947 164 286 1 32 66 143 0
## 179 3 1947 130 276 0 41 68 130 0
## 180 4 1947 104 280 1 27 68 146 1
## 181 5 1947 126 274 0 39 62 122 0
## 182 6 1947 142 285 0 33 63 124 0
## 183 7 1947 97 260 1 25 63 115 1
## 184 8 1947 123 288 0 27 63 125 0
## 185 1 1948 131 294 0 23 65 122 0
## 186 2 1948 133 297 0 36 61 125 0
## 187 3 1948 146 294 0 22 66 145 1
## 188 4 1948 131 282 1 21 66 126 0
## 189 5 1948 116 293 1 26 64 125 0
## 190 6 1948 144 273 0 27 62 118 1
## 191 7 1948 116 273 0 31 61 120 0
## 192 8 1948 109 283 0 23 65 112 1
## 193 1 1949 103 261 0 27 65 112 1
## 194 2 1949 124 293 1 19 65 150 0
## 195 3 1949 133 290 0 21 64 145 0
## 196 4 1949 110 293 1 28 64 135 1
## 197 5 1949 124 294 0 26 62 122 0
## 198 6 1949 127 262 1 32 64 125 0
## 199 7 1949 114 266 0 29 64 113 0
## 200 8 1949 110 268 0 34 64 127 0
## 201 1 1950 146 280 0 26 58 106 0
## 202 2 1950 122 306 1 22 62 100 0
## 203 3 1950 147 296 1 19 67 124 0
## 204 4 1950 148 279 0 27 71 189 0
## 205 5 1950 123 281 0 23 68 136 0
## 206 6 1950 115 270 0 25 67 165 1
## 207 7 1950 127 242 0 17 61 135 1
## 208 8 1950 122 296 1 24 65 132 0
## 209 1 1951 114 266 0 20 65 175 1
## 210 2 1951 121 271 1 34 63 129 1
## 211 3 1951 109 269 0 23 63 113 0
## 212 4 1951 137 283 1 20 65 157 0
## 213 5 1951 145 315 0 39 67 143 1
## 214 6 1951 85 258 0 41 67 137 0
## 215 7 1951 87 247 1 18 66 125 1
## 216 8 1951 115 307 0 34 65 128 1
## 217 1 1952 125 292 0 32 65 125 0
## 218 2 1952 100 272 0 30 64 150 1
## 219 3 1952 122 286 0 23 64 120 1
## 220 4 1952 117 283 0 27 63 108 0
## 221 5 1952 102 278 0 27 67 135 1
## 222 6 1952 99 274 0 28 66 118 1
## 223 7 1952 141 281 0 29 54 156 1
## 224 8 1952 108 279 1 19 64 115 0
## 225 1 1953 114 274 0 28 66 132 1
## 226 2 1953 90 266 1 26 67 135 0
## 227 3 1953 135 260 0 43 65 135 0
## 228 4 1953 115 302 1 22 67 135 0
## 229 5 1953 129 293 0 30 65 130 1
## 230 6 1953 123 323 1 17 64 140 0
## 231 7 1953 144 283 1 25 66 140 0
## 232 8 1953 120 287 0 23 67 116 1
## 233 1 1954 122 270 0 26 61 105 0
## 234 2 1954 128 272 1 18 67 109 0
## 235 3 1954 117 272 0 32 66 118 0
## 236 4 1954 98 280 0 35 64 122 1
## 237 5 1954 98 276 1 22 61 121 0
## 238 6 1954 112 281 1 23 61 150 0
## 239 7 1954 116 273 0 33 66 130 1
## 240 8 1954 131 269 0 36 68 145 0
## 241 1 1955 93 278 0 34 61 146 0
## 242 2 1955 86 276 1 23 65 125 1
## 243 3 1955 138 284 0 30 66 133 1
## 244 4 1955 136 303 1 20 68 148 1
## 245 5 1955 110 272 0 28 60 108 0
## 246 6 1955 68 223 0 32 66 149 1
## 247 7 1955 75 265 0 21 65 103 1
## 248 8 1955 136 283 1 24 63 119 0
## 249 1 1956 130 268 0 30 66 123 0
## 250 2 1956 123 282 0 30 63 118 0
## 251 3 1956 120 283 0 28 64 122 1
## 252 4 1956 121 276 1 23 71 152 1
## 253 5 1956 135 282 0 24 67 128 1
## 254 6 1956 102 283 1 19 65 127 1
## 255 7 1956 138 286 1 28 68 120 0
## 256 8 1956 125 290 0 32 63 135 0
## 257 1 1957 119 275 0 23 60 105 0
## 258 2 1957 87 275 0 28 63 110 1
## 259 3 1957 119 273 0 35 65 125 1
## 260 4 1957 132 285 1 25 63 140 0
## 261 5 1957 101 278 1 20 62 105 0
## 262 6 1957 109 273 0 37 65 138 1
## 263 7 1957 99 271 0 39 69 151 0
## 264 8 1957 96 285 1 20 66 117 1
## 265 1 1958 113 281 0 24 65 120 0
## 266 2 1958 128 291 1 27 63 132 0
## 267 3 1958 118 278 1 19 62 126 0
## 268 4 1958 91 264 0 36 60 100 1
## 269 5 1958 96 266 0 26 65 125 0
## 270 6 1958 102 267 1 25 60 93 1
## 271 7 1958 118 293 0 21 63 103 0
## 272 8 1958 102 282 1 29 65 125 1
## 273 1 1959 134 283 0 22 67 130 0
## 274 2 1959 120 288 0 28 63 125 0
## 275 3 1959 105 330 0 23 64 112 1
## 276 4 1959 119 294 0 34 59 105 0
## 277 5 1959 104 276 1 18 60 109 1
## 278 6 1959 99 275 0 23 61 125 1
## 279 7 1959 97 266 0 24 62 109 0
## 280 8 1959 102 288 1 18 65 117 0
## 281 1 1960 107 279 0 24 63 115 0
## 282 2 1960 125 301 1 35 68 181 0
## 283 3 1960 113 306 1 21 65 137 0
## 284 4 1960 85 273 0 26 60 105 1
## 285 5 1960 100 249 0 24 67 100 0
## 286 6 1960 78 256 1 29 65 123 0
## 287 7 1960 146 319 0 28 66 145 0
## 288 8 1960 112 277 1 22 67 120 0
## 289 1 1961 134 288 0 23 63 92 1
## 290 2 1961 118 265 0 27 61 123 0
## 291 3 1961 148 291 1 21 63 115 0
## 292 4 1961 106 271 1 26 61 110 1
## 293 5 1961 154 292 0 40 66 145 0
## 294 6 1961 128 284 1 19 66 111 1
## 295 7 1961 81 285 0 19 63 150 1
## 296 8 1961 135 272 0 30 65 130 0
## 297 1 1962 122 267 0 27 65 101 1
## 298 2 1962 116 284 1 24 66 117 0
## 299 3 1962 140 281 1 22 69 135 0
## 300 4 1962 132 284 0 29 64 122 0
## 301 5 1962 127 293 0 31 67 137 0
## 302 6 1962 107 303 1 25 67 133 0
## 303 7 1962 110 321 0 28 66 180 0
## 304 8 1962 91 266 0 23 60 120 1
## 305 1 1963 129 293 0 30 61 160 0
## 306 2 1963 131 262 0 22 67 135 0
## 307 3 1963 134 287 1 33 67 131 0
## 308 4 1963 80 266 1 25 62 125 0
## 309 5 1963 126 288 0 31 62 150 0
## 310 6 1963 136 295 0 23 64 147 0
## 311 7 1963 135 284 1 19 60 95 0
## 312 8 1963 129 276 0 31 63 125 0
## 313 1 1964 110 278 0 23 63 177 0
## 314 2 1964 151 286 1 22 66 130 0
## 315 3 1964 120 280 0 31 61 111 0
## 316 4 1964 109 286 0 24 64 125 1
## 317 5 1964 126 282 1 23 66 115 1
## 318 6 1964 101 278 0 27 61 99 1
## 319 7 1964 114 290 1 21 65 120 1
## 320 8 1964 155 290 0 26 66 129 1
## 321 1 1965 111 270 0 27 61 119 0
## 322 2 1965 88 273 0 20 66 110 1
## 323 3 1965 123 296 1 26 64 110 1
## 324 4 1965 111 306 0 27 61 102 0
## 325 5 1965 127 279 0 26 67 155 1
## 326 6 1965 100 275 1 25 64 125 0
## 327 7 1965 124 288 1 21 64 116 1
## 328 8 1965 109 274 0 33 69 144 1
## 329 1 1966 87 248 0 37 65 130 1
## 330 2 1966 137 284 0 30 67 110 0
## 331 3 1966 102 275 0 43 64 160 0
## 332 4 1966 143 292 1 21 65 125 0
## 333 5 1966 98 275 0 25 65 112 1
## 334 6 1966 109 272 0 41 66 154 1
## 335 7 1966 115 262 1 23 64 136 1
## 336 8 1966 80 262 1 31 61 100 1
## 337 1 1967 143 274 0 27 63 110 1
## 338 2 1967 127 289 0 23 67 140 0
## 339 3 1967 55 204 0 35 65 140 0
## 340 4 1967 136 290 0 26 66 135 0
## 341 5 1967 127 288 1 21 66 130 0
## 342 6 1967 117 281 1 21 70 141 1
## 343 7 1967 143 281 0 28 65 135 1
## 344 8 1967 125 273 0 30 64 145 0
## 345 1 1968 155 294 0 32 66 150 0
## 346 2 1968 96 278 1 18 60 120 1
## 347 3 1968 103 276 1 19 63 149 1
## 348 4 1968 110 285 1 19 64 130 0
## 349 5 1968 129 299 0 22 68 145 0
## 350 6 1968 88 252 1 21 60 115 1
## 351 7 1968 113 287 1 29 70 145 1
## 352 8 1968 94 284 0 24 63 104 1
## 353 1 1969 110 272 0 25 60 90 0
## 354 2 1969 129 281 0 31 67 155 0
## 355 3 1969 123 283 0 21 65 110 0
## 356 4 1969 98 257 0 29 66 130 1
## 357 5 1969 131 292 1 22 64 124 1
## 358 6 1969 95 270 0 35 65 135 1
## 359 7 1969 109 244 1 21 63 102 1
## 360 8 1969 148 281 0 27 63 110 1
## 361 1 1970 122 275 0 26 66 147 0
## 362 2 1970 128 288 1 26 65 114 0
## 363 3 1970 105 270 1 27 65 134 1
## 364 4 1970 108 305 1 24 65 112 0
## 365 5 1970 132 289 1 19 66 145 0
## 366 6 1970 127 291 1 24 66 135 1
## 367 7 1970 103 278 0 30 60 87 1
## 368 8 1970 73 277 0 29 65 145 0
## 369 1 1971 145 291 0 26 63 119 1
## 370 2 1971 85 255 0 24 68 159 0
## 371 3 1971 138 289 0 33 65 155 0
## 372 4 1971 101 295 0 18 62 145 1
## 373 5 1971 127 280 0 27 62 118 0
## 374 6 1971 107 293 0 20 65 155 1
## 375 7 1971 118 276 0 34 64 116 0
## 376 8 1971 123 267 1 19 66 132 1
## 377 1 1972 115 258 0 26 62 130 0
## 378 2 1972 111 281 1 27 64 112 0
## 379 3 1972 128 281 0 28 63 150 0
## 380 4 1972 71 281 0 32 60 117 1
## 381 5 1972 99 313 1 34 59 100 1
## 382 6 1972 126 262 0 37 66 135 1
## 383 7 1972 127 290 0 27 65 121 0
## 384 8 1972 65 232 0 24 66 125 1
## 385 1 1973 108 283 0 31 65 148 1
## 386 2 1973 124 275 0 28 61 116 0
## 387 3 1973 139 285 0 30 65 129 1
## 388 4 1973 124 292 0 29 68 176 1
## 389 5 1973 115 290 0 30 64 140 1
## 390 6 1973 98 278 0 27 63 110 1
## 391 7 1973 132 270 0 27 65 126 0
## 392 8 1973 118 279 1 21 64 108 0
## 393 1 1974 102 282 0 28 61 110 0
## 394 2 1974 112 292 1 28 62 110 1
## 395 3 1974 104 288 1 27 61 122 1
## 396 4 1974 106 276 0 30 66 130 0
## 397 5 1974 145 290 1 24 67 125 0
## 398 6 1974 96 241 0 23 64 130 1
## 399 7 1974 113 275 1 27 60 100 0
## 400 8 1974 102 283 0 39 60 119 0
## 401 1 1975 143 286 0 31 64 126 0
## 402 2 1975 115 281 0 28 61 128 1
## 403 3 1975 159 296 1 27 64 112 0
## 404 4 1975 101 278 0 25 62 112 1
## 405 5 1975 102 249 1 23 67 134 1
## 406 6 1975 104 282 0 24 63 144 0
## 407 7 1975 128 265 0 24 67 120 0
## 408 8 1975 120 280 0 24 61 118 0
## 409 1 1976 146 267 0 30 67 132 0
## 410 2 1976 72 271 0 39 61 136 0
## 411 3 1976 118 276 0 29 62 130 1
## 412 4 1976 100 277 0 31 62 100 1
## 413 5 1976 136 299 0 29 64 115 0
## 414 6 1976 133 273 1 33 63 135 0
## 415 7 1976 130 291 0 30 65 150 1
## 416 8 1976 108 270 1 21 65 130 1
## 417 1 1977 124 275 0 22 60 130 0
## 418 2 1977 122 281 1 24 65 137 1
## 419 3 1977 99 285 0 25 69 128 1
## 420 4 1977 104 269 0 35 63 110 1
## 421 5 1977 121 282 0 22 66 133 0
## 422 6 1977 93 267 0 25 63 135 1
## 423 7 1977 125 281 1 21 65 110 0
## 424 8 1977 122 280 1 45 62 128 0
## 425 1 1978 124 278 0 26 70 145 1
## 426 2 1978 116 291 0 26 66 153 0
## 427 3 1978 144 281 0 20 63 120 0
## 428 4 1978 117 270 0 24 67 135 1
## 429 5 1978 120 286 0 25 62 105 0
## 430 6 1978 101 280 1 24 65 123 1
## 431 7 1978 117 297 0 38 65 129 0
## 432 8 1978 103 268 0 32 62 97 1
## 433 1 1979 145 257 0 33 65 140 0
## 434 2 1979 127 272 0 20 64 130 1
## 435 3 1979 121 270 0 25 62 108 1
## 436 4 1979 117 267 0 29 65 120 1
## 437 5 1979 118 261 0 26 60 104 0
## 438 6 1979 118 277 0 21 64 155 0
## 439 7 1979 141 277 0 38 66 162 0
## 440 8 1979 105 312 0 41 61 115 1
## 441 1 1980 106 273 0 28 60 116 0
## 442 2 1980 90 266 0 23 61 99 1
## 443 3 1980 117 265 1 24 66 98 0
## 444 4 1980 149 279 0 25 67 135 0
## 445 5 1980 127 304 1 26 62 105 0
## 446 6 1980 130 289 0 21 61 130 1
## 447 7 1980 130 270 1 19 66 130 0
## 448 8 1980 126 273 1 25 68 135 0
## 449 1 1981 75 232 0 33 61 110 0
## 450 2 1981 99 273 1 27 59 115 0
## 451 3 1981 119 293 1 23 65 127 0
## 452 4 1981 135 284 0 25 66 123 0
## 453 5 1981 132 281 1 24 63 117 0
## 454 6 1981 125 288 0 22 63 128 1
## 455 7 1981 139 299 1 20 67 112 0
## 456 8 1981 145 316 0 22 67 142 0
## 457 1 1982 107 273 0 24 61 96 0
## 458 2 1982 144 307 1 26 66 125 0
## 459 3 1982 105 281 1 19 61 130 0
## 460 4 1982 110 283 1 21 66 129 0
## 461 5 1982 102 258 1 22 65 135 0
## 462 6 1982 140 291 1 19 65 122 0
## 463 7 1982 130 283 0 32 65 118 0
## 464 8 1982 139 293 0 34 66 131 0
## 465 1 1983 124 288 0 22 67 118 0
## 466 2 1983 138 280 1 30 65 175 0
## 467 3 1983 125 283 0 37 63 145 1
## 468 4 1983 121 276 0 31 67 130 0
## 469 5 1983 143 279 0 39 65 129 1
## 470 6 1983 115 290 1 19 65 118 0
## 471 7 1983 113 289 1 26 59 91 0
## 472 8 1983 124 290 0 26 65 165 0
## 473 1 1984 122 280 0 23 65 125 1
## 474 2 1984 58 245 0 34 64 156 1
## 475 3 1984 119 259 0 37 62 130 0
## 476 4 1984 142 285 1 24 66 136 0
## 477 5 1984 118 277 0 25 62 120 0
## 478 6 1984 130 293 0 26 63 123 0
## 479 7 1984 77 238 1 23 63 103 1
## 480 8 1984 121 282 0 30 65 122 0
## 481 1 1985 101 245 0 23 63 130 1
## 482 2 1985 109 265 1 24 63 107 1
## 483 3 1985 101 273 0 39 60 113 0
## 484 4 1985 104 260 0 33 64 145 0
## 485 5 1985 102 286 1 22 64 140 0
## 486 6 1985 114 277 1 31 64 125 0
## 487 7 1985 62 228 0 24 61 107 0
## 488 8 1985 126 299 1 21 60 114 0
## 489 1 1986 128 283 0 28 63 125 1
## 490 2 1986 110 277 1 19 62 160 0
## 491 3 1986 105 277 1 25 64 156 0
## 492 4 1986 138 296 0 34 66 120 0
## 493 5 1986 163 280 0 35 69 139 0
## 494 6 1986 105 278 0 21 64 120 0
## 495 7 1986 93 245 0 33 61 100 1
## 496 8 1986 119 286 1 33 67 137 0
## 497 1 1987 104 282 0 36 65 115 1
## 498 2 1987 129 278 0 27 63 128 0
## 499 3 1987 110 281 0 27 60 110 0
## 500 4 1987 112 278 1 21 63 120 0
## 501 5 1987 132 294 0 32 64 116 0
## 502 6 1987 101 289 1 31 60 125 0
## 503 7 1987 109 275 1 37 63 112 1
## 504 8 1987 114 277 1 19 63 107 0
## 505 1 1988 97 246 0 37 63 150 0
## 506 2 1988 150 284 0 40 67 130 0
## 507 3 1988 100 270 1 21 65 132 1
## 508 4 1988 117 293 0 39 60 120 1
## 509 5 1988 116 276 0 33 61 180 0
## 510 6 1988 132 286 0 26 67 122 1
## 511 7 1988 145 283 0 27 65 125 1
## 512 8 1988 118 272 0 23 64 113 0
## 513 1 1989 137 274 0 26 69 137 1
## 514 2 1989 128 279 0 27 66 135 0
## 515 3 1989 98 284 0 29 68 140 0
## 516 4 1989 109 282 0 25 62 106 1
## 517 5 1989 138 288 1 19 66 124 0
## 518 6 1989 112 252 0 37 64 162 0
## 519 7 1989 92 224 0 19 63 134 1
## 520 8 1989 127 295 0 36 65 145 0
## 521 1 1990 103 273 0 31 63 170 1
## 522 2 1990 142 284 1 31 66 137 1
## 523 3 1990 127 276 0 37 64 159 0
## 524 4 1990 131 266 1 28 67 135 0
## 525 5 1990 139 279 0 20 64 143 0
## 526 6 1990 69 232 0 31 59 103 1
## 527 7 1990 120 281 0 26 61 115 0
## 528 8 1990 117 290 1 22 67 110 0
## 529 1 1991 142 276 0 38 63 170 0
## 530 2 1991 115 268 1 31 64 125 0
## 531 3 1991 117 324 0 22 62 164 1
## 532 4 1991 120 273 0 29 64 130 1
## 533 5 1991 132 298 1 23 61 137 0
## 534 6 1991 114 264 0 26 63 110 1
## 535 7 1991 135 284 0 39 67 141 0
## 536 8 1991 137 277 0 41 65 126 0
## 537 1 1992 130 289 0 27 66 130 0
## 538 2 1992 108 283 0 35 62 108 0
## 539 3 1992 122 278 0 37 68 114 0
## 540 4 1992 116 270 0 29 63 132 0
## 541 5 1992 87 282 0 27 63 104 1
## 542 6 1992 123 267 0 29 63 111 1
## 543 7 1992 113 287 0 36 63 118 0
## 544 8 1992 133 292 0 29 65 135 0
## 545 1 1993 156 292 0 26 63 118 0
## 546 2 1993 139 281 0 27 63 137 0
## 547 3 1993 122 273 1 23 64 130 1
## 548 4 1993 140 290 0 23 65 110 0
## 549 5 1993 131 297 0 30 67 132 0
## 550 6 1993 129 284 1 20 66 130 1
## 551 7 1993 126 251 1 28 64 123 0
## 552 8 1993 100 264 0 28 60 111 1
## 553 1 1994 133 284 0 25 66 125 1
## 554 2 1994 115 275 0 25 61 155 1
## 555 3 1994 118 281 1 36 66 140 1
## 556 4 1994 103 273 1 22 64 110 1
## 557 5 1994 130 282 0 26 67 147 1
## 558 6 1994 114 283 1 15 64 117 1
## 559 7 1994 143 270 1 27 70 148 0
## 560 8 1994 107 273 1 26 65 135 0
## 561 1 1995 120 274 0 24 62 120 0
## 562 2 1995 136 288 0 23 62 217 0
## 563 3 1995 137 303 1 23 66 127 1
## 564 4 1995 120 279 1 23 67 135 0
## 565 5 1995 123 290 0 28 66 107 1
## 566 6 1995 115 290 0 31 62 95 0
## 567 7 1995 128 282 1 25 64 125 0
## 568 8 1995 115 276 1 20 62 105 1
## 569 1 1996 91 270 0 24 60 149 1
## 570 2 1996 163 289 1 25 64 126 1
## 571 3 1996 120 275 0 32 63 115 1
## 572 4 1996 139 260 1 32 64 127 0
## 573 5 1996 115 276 1 18 63 110 0
## 574 6 1996 98 272 1 35 64 129 0
## 575 7 1996 98 262 0 22 67 120 0
## 576 8 1996 91 292 1 26 61 113 1
## 577 1 1997 127 274 0 21 62 110 0
## 578 2 1997 131 285 0 26 64 130 0
## 579 3 1997 143 285 0 27 68 185 0
## 580 4 1997 123 254 0 26 62 130 1
## 581 5 1997 116 272 0 27 64 130 1
## 582 6 1997 128 283 0 27 67 126 0
## 583 7 1997 110 306 1 32 61 122 0
## 584 8 1997 112 287 0 27 64 110 1
## 585 1 1998 153 286 0 26 63 107 1
## 586 2 1998 77 238 0 38 67 135 1
## 587 3 1998 108 270 0 29 67 124 1
## 588 4 1998 104 280 1 23 64 107 1
## 589 5 1998 119 286 1 20 67 130 0
## 590 6 1998 119 271 0 28 64 175 1
## 591 7 1998 162 284 0 27 64 126 0
## 592 8 1998 125 289 1 31 61 120 0
## 593 1 1999 121 276 0 39 63 130 0
## 594 2 1999 124 283 1 33 67 156 1
## 595 3 1999 131 284 1 19 61 114 1
## 596 4 1999 111 270 0 22 59 103 0
## 597 5 1999 125 279 1 19 67 135 0
## 598 6 1999 154 288 0 25 65 147 0
## 599 7 1999 116 292 1 20 65 118 0
## 600 8 1999 157 291 0 33 65 121 0
## 601 1 2000 120 277 0 27 63 126 0
## 602 2 2000 104 270 1 26 62 115 0
## 603 3 2000 110 277 0 36 61 116 0
## 604 4 2000 122 277 0 32 63 157 1
## 605 5 2000 144 282 0 33 66 155 1
## 606 6 2000 127 247 1 21 63 140 0
## 607 7 2000 128 284 0 23 62 110 0
## 608 8 2000 108 256 1 26 67 130 0
## 609 1 2001 99 272 0 27 62 103 1
## 610 2 2001 102 267 1 24 61 109 1
## 611 3 2001 105 276 0 20 62 112 1
## 612 4 2001 116 271 1 30 67 144 1
## 613 5 2001 123 269 0 26 67 132 0
## 614 6 2001 131 263 0 29 64 180 1
## 615 7 2001 111 275 1 18 61 108 1
## 616 8 2001 130 279 0 31 62 122 0
## 617 1 2002 149 293 0 35 65 116 0
## 618 2 2002 94 268 0 30 62 105 1
## 619 3 2002 125 255 0 23 63 133 0
## 620 4 2002 129 277 0 27 68 130 1
## 621 5 2002 120 276 0 23 66 114 0
## 622 6 2002 129 288 0 28 59 102 0
## 623 7 2002 137 280 0 34 60 107 0
## 624 8 2002 135 289 0 25 64 127 0
## 625 1 2003 129 280 0 23 64 104 0
## 626 2 2003 158 295 1 37 70 137 0
## 627 3 2003 78 258 1 24 66 115 1
## 628 4 2003 133 292 0 30 65 112 1
## 629 5 2003 140 251 0 28 63 210 0
## 630 6 2003 114 286 1 22 64 116 1
## 631 7 2003 100 264 0 29 64 120 1
## 632 8 2003 123 277 0 24 66 122 0
## 633 1 2004 139 292 0 25 68 135 0
## 634 2 2004 112 275 1 21 68 143 1
## 635 3 2004 114 289 0 36 60 115 0
## 636 4 2004 110 277 0 25 61 130 0
## 637 5 2004 120 271 1 17 64 142 1
## 638 6 2004 110 280 0 29 62 110 1
## 639 7 2004 160 271 0 32 67 215 0
## 640 8 2004 100 281 0 24 61 115 0
is.data.frame(nv2.1)
## [1] TRUE
length(nv2.1)
## [1] 9
names(nv2.1)
## [1] "id" "year" "bwt" "gestation" "parity" "age"
## [7] "height" "weight" "smoke"
dim(nv2.1)
## [1] 640 9
library(skimr)
skim(nv2.1)
| Name | nv2.1 |
| Number of rows | 640 |
| Number of columns | 9 |
| _______________________ | |
| Column type frequency: | |
| numeric | 9 |
| ________________________ | |
| Group variables | None |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| id | 0 | 1 | 4.50 | 2.29 | 1 | 2.75 | 4.5 | 6.25 | 8 | ▇▃▇▃▇ |
| year | 0 | 1 | 1964.50 | 23.11 | 1925 | 1944.75 | 1964.5 | 1984.25 | 2004 | ▇▇▇▇▇ |
| bwt | 0 | 1 | 118.89 | 18.14 | 55 | 107.75 | 120.0 | 131.00 | 169 | ▁▂▇▆▁ |
| gestation | 0 | 1 | 279.33 | 15.80 | 181 | 273.00 | 280.0 | 288.00 | 351 | ▁▁▇▅▁ |
| parity | 0 | 1 | 0.31 | 0.46 | 0 | 0.00 | 0.0 | 1.00 | 1 | ▇▁▁▁▃ |
| age | 0 | 1 | 27.28 | 5.86 | 15 | 23.00 | 26.0 | 31.00 | 45 | ▃▇▅▂▁ |
| height | 0 | 1 | 64.10 | 2.50 | 53 | 62.00 | 64.0 | 66.00 | 71 | ▁▁▅▇▁ |
| weight | 0 | 1 | 128.22 | 19.49 | 87 | 115.00 | 126.0 | 137.00 | 217 | ▃▇▃▁▁ |
| smoke | 0 | 1 | 0.40 | 0.49 | 0 | 0.00 | 0.0 | 1.00 | 1 | ▇▁▁▁▆ |
head(nv2.1,10)
## id year bwt gestation parity age height weight smoke
## 1 1 1925 120 284 0 27 62 100 0
## 2 2 1925 112 267 1 22 62 138 0
## 3 3 1925 119 286 0 26 64 123 1
## 4 4 1925 124 287 0 27 62 105 1
## 5 5 1925 105 276 0 22 67 130 0
## 6 6 1925 120 289 1 31 59 102 0
## 7 7 1925 82 274 0 31 64 101 1
## 8 8 1925 111 278 0 29 65 145 1
## 9 1 1926 113 282 0 33 64 135 0
## 10 2 1926 134 297 0 27 67 170 1
tail(nv2.1,10)
## id year bwt gestation parity age height weight smoke
## 631 7 2003 100 264 0 29 64 120 1
## 632 8 2003 123 277 0 24 66 122 0
## 633 1 2004 139 292 0 25 68 135 0
## 634 2 2004 112 275 1 21 68 143 1
## 635 3 2004 114 289 0 36 60 115 0
## 636 4 2004 110 277 0 25 61 130 0
## 637 5 2004 120 271 1 17 64 142 1
## 638 6 2004 110 280 0 29 62 110 1
## 639 7 2004 160 271 0 32 67 215 0
## 640 8 2004 100 281 0 24 61 115 0
str(nv2.1)
## 'data.frame': 640 obs. of 9 variables:
## $ id : num 1 2 3 4 5 6 7 8 1 2 ...
## $ year : num 1925 1925 1925 1925 1925 ...
## $ bwt : num 120 112 119 124 105 120 82 111 113 134 ...
## $ gestation: num 284 267 286 287 276 289 274 278 282 297 ...
## $ parity : num 0 1 0 0 0 1 0 0 0 0 ...
## $ age : num 27 22 26 27 22 31 31 29 33 27 ...
## $ height : num 62 62 64 62 67 59 64 65 64 67 ...
## $ weight : num 100 138 123 105 130 102 101 145 135 170 ...
## $ smoke : num 0 0 1 1 0 0 1 1 0 1 ...
is.na(nv2.1)
## id year bwt gestation parity age height weight smoke
## [1,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [2,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [3,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [4,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [5,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [6,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [7,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [8,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [9,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [10,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [11,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [12,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [13,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [15,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [16,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [17,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [18,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [20,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [21,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [22,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [23,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [25,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [26,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [27,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [30,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [31,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [32,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [33,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [35,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [36,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [37,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [40,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [41,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [42,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [45,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [46,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [47,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [50,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [51,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [52,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [53,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [54,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [55,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [56,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [57,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [58,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [59,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [60,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [61,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [62,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [63,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [64,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [65,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [66,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [67,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [68,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [69,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [70,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [71,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [72,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [73,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [74,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [75,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [76,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [77,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [78,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [79,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [80,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [81,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [82,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [83,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [84,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [85,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [86,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [87,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [88,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [89,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [90,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [91,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [92,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [93,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [94,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [95,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [96,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [97,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [98,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [99,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [100,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [101,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [102,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [103,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [104,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [105,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [106,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [107,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [108,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [109,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [110,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [111,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [112,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [113,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [114,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [115,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [116,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [117,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [118,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [119,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [120,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [121,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [122,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [123,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [124,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [125,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [126,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [127,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [128,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [129,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [130,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [131,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [132,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [133,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [134,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [135,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [136,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [137,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [138,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [139,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [140,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [141,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [142,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [143,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [144,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [145,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [146,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [147,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [148,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [149,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [150,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [151,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [152,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [153,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [154,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [155,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [156,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [157,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [158,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [159,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [160,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [161,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [162,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [163,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [164,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [165,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [166,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [167,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [168,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [169,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [170,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [171,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [172,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [173,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [174,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [175,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [176,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [177,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [178,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [179,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [180,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [181,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [182,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [183,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [184,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [185,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [186,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [187,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [188,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [189,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [190,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [191,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [192,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [193,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [194,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [195,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [196,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [197,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [198,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [199,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [200,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [201,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [202,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [203,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [204,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [205,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [206,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [207,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [208,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [209,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [210,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [211,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [212,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [213,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [214,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [215,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [216,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [217,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [218,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [219,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [220,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [221,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [222,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [223,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [224,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [225,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [226,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [227,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [228,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [229,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [230,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [231,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [232,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [233,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [234,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [235,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [236,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [237,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [238,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [239,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [240,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [241,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [242,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [243,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [244,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [245,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [246,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [247,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [248,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [249,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [250,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [251,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [252,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [253,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [254,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [255,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [256,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [257,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [258,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [259,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [260,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [261,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [262,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [263,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [264,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [265,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [266,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [267,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [268,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [269,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [270,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [271,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [272,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [273,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [274,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [275,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [276,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [277,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [278,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [279,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [280,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [281,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [282,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [283,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [284,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [285,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [286,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [287,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [288,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [289,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [290,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [291,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [292,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [293,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [294,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [295,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [296,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [297,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [298,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [299,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [300,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [301,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [302,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [303,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [304,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [305,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [306,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [307,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [308,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [309,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [310,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [311,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [312,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [313,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [314,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [315,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [316,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [317,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [318,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [319,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [320,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [321,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [322,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [323,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [324,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [325,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [326,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [327,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [328,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [329,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [330,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [331,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [332,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [333,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [334,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [335,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [336,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [337,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [338,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [339,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [340,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [341,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [342,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [343,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [344,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [345,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [346,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [347,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [348,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [349,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [350,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [351,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [352,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [353,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [354,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [355,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [356,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [357,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [358,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [359,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [360,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [361,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [362,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [363,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [364,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [365,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [366,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [367,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [368,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [369,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [370,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [371,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [372,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [373,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [374,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [375,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [376,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [377,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [378,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [379,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [380,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [381,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [382,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [383,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [384,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [385,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [386,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [387,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [388,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [389,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [390,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [391,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [392,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [393,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [394,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [395,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [396,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [397,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [398,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [399,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [400,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [401,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [402,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [403,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [404,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [405,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [406,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [407,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [408,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [409,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [410,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [411,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [412,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [413,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [414,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [415,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [416,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [417,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [418,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [419,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [420,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [421,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [422,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [423,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [424,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [425,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [426,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [427,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [428,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [429,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [430,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [431,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [432,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [433,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [434,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [435,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [436,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [437,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [438,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [439,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [440,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [441,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [442,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [443,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [444,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [445,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [446,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [447,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [448,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [449,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [450,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [451,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [452,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [453,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [454,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [455,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [456,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [457,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [458,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [459,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [460,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [461,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [462,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [463,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [464,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [465,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [466,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [467,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [468,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [469,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [470,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [471,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [472,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [473,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [474,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [475,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [476,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [477,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [478,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [479,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [480,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [481,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [482,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [483,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [484,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [485,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [486,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [487,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [488,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [489,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [490,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [491,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [492,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [493,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [494,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [495,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [496,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [497,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [498,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [499,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [500,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [501,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [502,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [503,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [504,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [505,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [506,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [507,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [508,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [509,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [510,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [511,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [512,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [513,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [514,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [515,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [516,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [517,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [518,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [519,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [520,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [521,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [522,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [523,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [524,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [525,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [526,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [527,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [528,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [529,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [530,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [531,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [532,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [533,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [534,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [535,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [536,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [537,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [538,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [539,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [540,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [541,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [542,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [543,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [544,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [545,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [546,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [547,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [548,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [549,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [550,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [551,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [552,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [553,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [554,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [555,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [556,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [557,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [558,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [559,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [560,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [561,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [562,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [563,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [564,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [565,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [566,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [567,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [568,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [569,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [570,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [571,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [572,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [573,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [574,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [575,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [576,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [577,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [578,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [579,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [580,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [581,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [582,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [583,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [584,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [585,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [586,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [587,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [588,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [589,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [590,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [591,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [592,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [593,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [594,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [595,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [596,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [597,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [598,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [599,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [600,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [601,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [602,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [603,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [604,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [605,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [606,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [607,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [608,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [609,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [610,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [611,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [612,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [613,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [614,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [615,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [616,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [617,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [618,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [619,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [620,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [621,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [622,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [623,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [624,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [625,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [626,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [627,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [628,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [629,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [630,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [631,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [632,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [633,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [634,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [635,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [636,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [637,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [638,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [639,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [640,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
sum(is.na(nv2.1))
## [1] 0
which(is.na(nv2.1))
## integer(0)
names(nv2.1) <- c('I','y','B','G','P','A','H','W','S')
# Lấy dữ liệu từ quan sát 5 và biến 3
a <- nv2.1[5,3]
a
## [1] 105
# Biểu diễn tất cả các dữ liệu của biến H
H <- nv2.1$H
H
## [1] 62 62 64 62 67 59 64 65 64 67 68 65 65 61 63 59 64 64 64 66 63 62 61 62 67
## [26] 65 67 63 64 64 65 64 62 64 61 64 66 53 61 67 62 65 58 66 59 68 65 61 65 62
## [51] 63 60 65 66 62 62 62 64 63 67 63 63 62 70 66 66 66 61 63 66 63 67 68 63 67
## [76] 63 67 66 66 68 64 66 64 66 64 62 61 63 63 62 60 62 62 64 62 64 61 66 67 67
## [101] 64 67 65 66 63 66 65 65 62 65 65 64 63 66 65 65 63 61 67 65 65 66 69 66 64
## [126] 65 64 63 60 62 65 65 66 67 67 61 68 64 64 67 64 67 63 64 66 65 61 66 66 63
## [151] 64 67 56 64 65 59 66 65 63 64 67 64 59 62 63 66 70 60 66 65 64 63 62 66 58
## [176] 69 68 66 68 68 62 63 63 63 65 61 66 66 64 62 61 65 65 65 64 64 62 64 64 64
## [201] 58 62 67 71 68 67 61 65 65 63 63 65 67 67 66 65 65 64 64 63 67 66 54 64 66
## [226] 67 65 67 65 64 66 67 61 67 66 64 61 61 66 68 61 65 66 68 60 66 65 63 66 63
## [251] 64 71 67 65 68 63 60 63 65 63 62 65 69 66 65 63 62 60 65 60 63 65 67 63 64
## [276] 59 60 61 62 65 63 68 65 60 67 65 66 67 63 61 63 61 66 66 63 65 65 66 69 64
## [301] 67 67 66 60 61 67 67 62 62 64 60 63 63 66 61 64 66 61 65 66 61 66 64 61 67
## [326] 64 64 69 65 67 64 65 65 66 64 61 63 67 65 66 66 70 65 64 66 60 63 64 68 60
## [351] 70 63 60 67 65 66 64 65 63 63 66 65 65 65 66 66 60 65 63 68 65 62 62 65 64
## [376] 66 62 64 63 60 59 66 65 66 65 61 65 68 64 63 65 64 61 62 61 66 67 64 60 60
## [401] 64 61 64 62 67 63 67 61 67 61 62 62 64 63 65 65 60 65 69 63 66 63 65 62 70
## [426] 66 63 67 62 65 65 62 65 64 62 65 60 64 66 61 60 61 66 67 62 61 66 68 61 59
## [451] 65 66 63 63 67 67 61 66 61 66 65 65 65 66 67 65 63 67 65 65 59 65 65 64 62
## [476] 66 62 63 63 65 63 63 60 64 64 64 61 60 63 62 64 66 69 64 61 67 65 63 60 63
## [501] 64 60 63 63 63 67 65 60 61 67 65 64 69 66 68 62 66 64 63 65 63 66 64 67 64
## [526] 59 61 67 63 64 62 64 61 63 67 65 66 62 68 63 63 63 63 65 63 63 64 65 67 66
## [551] 64 60 66 61 66 64 67 64 70 65 62 62 66 67 66 62 64 62 60 64 63 64 63 64 67
## [576] 61 62 64 68 62 64 67 61 64 63 67 67 64 67 64 64 61 63 67 61 59 67 65 65 65
## [601] 63 62 61 63 66 63 62 67 62 61 62 67 67 64 61 62 65 62 63 68 66 59 60 64 64
## [626] 70 66 65 63 64 64 66 68 68 60 61 64 62 67 61
# Lấy dữ liệu tất cả các quan sát và biến 2
b <- nv2.1[,2]
b
## [1] 1925 1925 1925 1925 1925 1925 1925 1925 1926 1926 1926 1926 1926 1926 1926
## [16] 1926 1927 1927 1927 1927 1927 1927 1927 1927 1928 1928 1928 1928 1928 1928
## [31] 1928 1928 1929 1929 1929 1929 1929 1929 1929 1929 1930 1930 1930 1930 1930
## [46] 1930 1930 1930 1931 1931 1931 1931 1931 1931 1931 1931 1932 1932 1932 1932
## [61] 1932 1932 1932 1932 1933 1933 1933 1933 1933 1933 1933 1933 1934 1934 1934
## [76] 1934 1934 1934 1934 1934 1935 1935 1935 1935 1935 1935 1935 1935 1936 1936
## [91] 1936 1936 1936 1936 1936 1936 1937 1937 1937 1937 1937 1937 1937 1937 1938
## [106] 1938 1938 1938 1938 1938 1938 1938 1939 1939 1939 1939 1939 1939 1939 1939
## [121] 1940 1940 1940 1940 1940 1940 1940 1940 1941 1941 1941 1941 1941 1941 1941
## [136] 1941 1942 1942 1942 1942 1942 1942 1942 1942 1943 1943 1943 1943 1943 1943
## [151] 1943 1943 1944 1944 1944 1944 1944 1944 1944 1944 1945 1945 1945 1945 1945
## [166] 1945 1945 1945 1946 1946 1946 1946 1946 1946 1946 1946 1947 1947 1947 1947
## [181] 1947 1947 1947 1947 1948 1948 1948 1948 1948 1948 1948 1948 1949 1949 1949
## [196] 1949 1949 1949 1949 1949 1950 1950 1950 1950 1950 1950 1950 1950 1951 1951
## [211] 1951 1951 1951 1951 1951 1951 1952 1952 1952 1952 1952 1952 1952 1952 1953
## [226] 1953 1953 1953 1953 1953 1953 1953 1954 1954 1954 1954 1954 1954 1954 1954
## [241] 1955 1955 1955 1955 1955 1955 1955 1955 1956 1956 1956 1956 1956 1956 1956
## [256] 1956 1957 1957 1957 1957 1957 1957 1957 1957 1958 1958 1958 1958 1958 1958
## [271] 1958 1958 1959 1959 1959 1959 1959 1959 1959 1959 1960 1960 1960 1960 1960
## [286] 1960 1960 1960 1961 1961 1961 1961 1961 1961 1961 1961 1962 1962 1962 1962
## [301] 1962 1962 1962 1962 1963 1963 1963 1963 1963 1963 1963 1963 1964 1964 1964
## [316] 1964 1964 1964 1964 1964 1965 1965 1965 1965 1965 1965 1965 1965 1966 1966
## [331] 1966 1966 1966 1966 1966 1966 1967 1967 1967 1967 1967 1967 1967 1967 1968
## [346] 1968 1968 1968 1968 1968 1968 1968 1969 1969 1969 1969 1969 1969 1969 1969
## [361] 1970 1970 1970 1970 1970 1970 1970 1970 1971 1971 1971 1971 1971 1971 1971
## [376] 1971 1972 1972 1972 1972 1972 1972 1972 1972 1973 1973 1973 1973 1973 1973
## [391] 1973 1973 1974 1974 1974 1974 1974 1974 1974 1974 1975 1975 1975 1975 1975
## [406] 1975 1975 1975 1976 1976 1976 1976 1976 1976 1976 1976 1977 1977 1977 1977
## [421] 1977 1977 1977 1977 1978 1978 1978 1978 1978 1978 1978 1978 1979 1979 1979
## [436] 1979 1979 1979 1979 1979 1980 1980 1980 1980 1980 1980 1980 1980 1981 1981
## [451] 1981 1981 1981 1981 1981 1981 1982 1982 1982 1982 1982 1982 1982 1982 1983
## [466] 1983 1983 1983 1983 1983 1983 1983 1984 1984 1984 1984 1984 1984 1984 1984
## [481] 1985 1985 1985 1985 1985 1985 1985 1985 1986 1986 1986 1986 1986 1986 1986
## [496] 1986 1987 1987 1987 1987 1987 1987 1987 1987 1988 1988 1988 1988 1988 1988
## [511] 1988 1988 1989 1989 1989 1989 1989 1989 1989 1989 1990 1990 1990 1990 1990
## [526] 1990 1990 1990 1991 1991 1991 1991 1991 1991 1991 1991 1992 1992 1992 1992
## [541] 1992 1992 1992 1992 1993 1993 1993 1993 1993 1993 1993 1993 1994 1994 1994
## [556] 1994 1994 1994 1994 1994 1995 1995 1995 1995 1995 1995 1995 1995 1996 1996
## [571] 1996 1996 1996 1996 1996 1996 1997 1997 1997 1997 1997 1997 1997 1997 1998
## [586] 1998 1998 1998 1998 1998 1998 1998 1999 1999 1999 1999 1999 1999 1999 1999
## [601] 2000 2000 2000 2000 2000 2000 2000 2000 2001 2001 2001 2001 2001 2001 2001
## [616] 2001 2002 2002 2002 2002 2002 2002 2002 2002 2003 2003 2003 2003 2003 2003
## [631] 2003 2003 2004 2004 2004 2004 2004 2004 2004 2004
# Lấy dữ liệu từ quan sát 4 và tất cả các biến
c <- nv2.1[4,]
c
## I y B G P A H W S
## 4 4 1925 124 287 0 27 62 105 1
# Lấy dữ liệu từ tất cả các quan sát và biến (1,3)
dat1 <- nv2.1[,c(1,3)]
dat1
## I B
## 1 1 120
## 2 2 112
## 3 3 119
## 4 4 124
## 5 5 105
## 6 6 120
## 7 7 82
## 8 8 111
## 9 1 113
## 10 2 134
## 11 3 97
## 12 4 125
## 13 5 93
## 14 6 146
## 15 7 100
## 16 8 103
## 17 1 128
## 18 2 145
## 19 3 99
## 20 4 110
## 21 5 122
## 22 6 112
## 23 7 114
## 24 8 114
## 25 1 108
## 26 2 116
## 27 3 115
## 28 4 125
## 29 5 133
## 30 6 132
## 31 7 97
## 32 8 75
## 33 1 136
## 34 2 126
## 35 3 139
## 36 4 138
## 37 5 130
## 38 6 146
## 39 7 126
## 40 8 169
## 41 1 138
## 42 2 111
## 43 3 144
## 44 4 142
## 45 5 104
## 46 6 122
## 47 7 122
## 48 8 94
## 49 1 132
## 50 2 126
## 51 3 99
## 52 4 115
## 53 5 106
## 54 6 128
## 55 7 152
## 56 8 150
## 57 1 120
## 58 2 109
## 59 3 105
## 60 4 102
## 61 5 120
## 62 6 119
## 63 7 116
## 64 8 144
## 65 1 143
## 66 2 136
## 67 3 89
## 68 4 140
## 69 5 118
## 70 6 135
## 71 7 132
## 72 8 144
## 73 1 140
## 74 2 119
## 75 3 129
## 76 4 133
## 77 5 140
## 78 6 129
## 79 7 84
## 80 8 143
## 81 1 144
## 82 2 103
## 83 3 119
## 84 4 127
## 85 5 114
## 86 6 116
## 87 7 119
## 88 8 145
## 89 1 141
## 90 2 124
## 91 3 114
## 92 4 104
## 93 5 116
## 94 6 100
## 95 7 106
## 96 8 121
## 97 1 110
## 98 2 155
## 99 3 106
## 100 4 119
## 101 5 129
## 102 6 138
## 103 7 139
## 104 8 105
## 105 1 114
## 106 2 122
## 107 3 122
## 108 4 152
## 109 5 120
## 110 6 123
## 111 7 103
## 112 8 134
## 113 1 115
## 114 2 113
## 115 3 136
## 116 4 123
## 117 5 127
## 118 6 113
## 119 7 112
## 120 8 129
## 121 1 92
## 122 2 122
## 123 3 121
## 124 4 143
## 125 5 71
## 126 6 129
## 127 7 96
## 128 8 114
## 129 1 115
## 130 2 126
## 131 3 112
## 132 4 131
## 133 5 88
## 134 6 122
## 135 7 102
## 136 8 97
## 137 1 144
## 138 2 116
## 139 3 112
## 140 4 141
## 141 5 122
## 142 6 132
## 143 7 120
## 144 8 160
## 145 1 119
## 146 2 102
## 147 3 123
## 148 4 129
## 149 5 106
## 150 6 120
## 151 7 102
## 152 8 65
## 153 1 105
## 154 2 110
## 155 3 139
## 156 4 113
## 157 5 135
## 158 6 114
## 159 7 97
## 160 8 145
## 161 1 115
## 162 2 133
## 163 3 125
## 164 4 119
## 165 5 107
## 166 6 130
## 167 7 113
## 168 8 95
## 169 1 137
## 170 2 125
## 171 3 105
## 172 4 109
## 173 5 129
## 174 6 117
## 175 7 130
## 176 8 139
## 177 1 122
## 178 2 164
## 179 3 130
## 180 4 104
## 181 5 126
## 182 6 142
## 183 7 97
## 184 8 123
## 185 1 131
## 186 2 133
## 187 3 146
## 188 4 131
## 189 5 116
## 190 6 144
## 191 7 116
## 192 8 109
## 193 1 103
## 194 2 124
## 195 3 133
## 196 4 110
## 197 5 124
## 198 6 127
## 199 7 114
## 200 8 110
## 201 1 146
## 202 2 122
## 203 3 147
## 204 4 148
## 205 5 123
## 206 6 115
## 207 7 127
## 208 8 122
## 209 1 114
## 210 2 121
## 211 3 109
## 212 4 137
## 213 5 145
## 214 6 85
## 215 7 87
## 216 8 115
## 217 1 125
## 218 2 100
## 219 3 122
## 220 4 117
## 221 5 102
## 222 6 99
## 223 7 141
## 224 8 108
## 225 1 114
## 226 2 90
## 227 3 135
## 228 4 115
## 229 5 129
## 230 6 123
## 231 7 144
## 232 8 120
## 233 1 122
## 234 2 128
## 235 3 117
## 236 4 98
## 237 5 98
## 238 6 112
## 239 7 116
## 240 8 131
## 241 1 93
## 242 2 86
## 243 3 138
## 244 4 136
## 245 5 110
## 246 6 68
## 247 7 75
## 248 8 136
## 249 1 130
## 250 2 123
## 251 3 120
## 252 4 121
## 253 5 135
## 254 6 102
## 255 7 138
## 256 8 125
## 257 1 119
## 258 2 87
## 259 3 119
## 260 4 132
## 261 5 101
## 262 6 109
## 263 7 99
## 264 8 96
## 265 1 113
## 266 2 128
## 267 3 118
## 268 4 91
## 269 5 96
## 270 6 102
## 271 7 118
## 272 8 102
## 273 1 134
## 274 2 120
## 275 3 105
## 276 4 119
## 277 5 104
## 278 6 99
## 279 7 97
## 280 8 102
## 281 1 107
## 282 2 125
## 283 3 113
## 284 4 85
## 285 5 100
## 286 6 78
## 287 7 146
## 288 8 112
## 289 1 134
## 290 2 118
## 291 3 148
## 292 4 106
## 293 5 154
## 294 6 128
## 295 7 81
## 296 8 135
## 297 1 122
## 298 2 116
## 299 3 140
## 300 4 132
## 301 5 127
## 302 6 107
## 303 7 110
## 304 8 91
## 305 1 129
## 306 2 131
## 307 3 134
## 308 4 80
## 309 5 126
## 310 6 136
## 311 7 135
## 312 8 129
## 313 1 110
## 314 2 151
## 315 3 120
## 316 4 109
## 317 5 126
## 318 6 101
## 319 7 114
## 320 8 155
## 321 1 111
## 322 2 88
## 323 3 123
## 324 4 111
## 325 5 127
## 326 6 100
## 327 7 124
## 328 8 109
## 329 1 87
## 330 2 137
## 331 3 102
## 332 4 143
## 333 5 98
## 334 6 109
## 335 7 115
## 336 8 80
## 337 1 143
## 338 2 127
## 339 3 55
## 340 4 136
## 341 5 127
## 342 6 117
## 343 7 143
## 344 8 125
## 345 1 155
## 346 2 96
## 347 3 103
## 348 4 110
## 349 5 129
## 350 6 88
## 351 7 113
## 352 8 94
## 353 1 110
## 354 2 129
## 355 3 123
## 356 4 98
## 357 5 131
## 358 6 95
## 359 7 109
## 360 8 148
## 361 1 122
## 362 2 128
## 363 3 105
## 364 4 108
## 365 5 132
## 366 6 127
## 367 7 103
## 368 8 73
## 369 1 145
## 370 2 85
## 371 3 138
## 372 4 101
## 373 5 127
## 374 6 107
## 375 7 118
## 376 8 123
## 377 1 115
## 378 2 111
## 379 3 128
## 380 4 71
## 381 5 99
## 382 6 126
## 383 7 127
## 384 8 65
## 385 1 108
## 386 2 124
## 387 3 139
## 388 4 124
## 389 5 115
## 390 6 98
## 391 7 132
## 392 8 118
## 393 1 102
## 394 2 112
## 395 3 104
## 396 4 106
## 397 5 145
## 398 6 96
## 399 7 113
## 400 8 102
## 401 1 143
## 402 2 115
## 403 3 159
## 404 4 101
## 405 5 102
## 406 6 104
## 407 7 128
## 408 8 120
## 409 1 146
## 410 2 72
## 411 3 118
## 412 4 100
## 413 5 136
## 414 6 133
## 415 7 130
## 416 8 108
## 417 1 124
## 418 2 122
## 419 3 99
## 420 4 104
## 421 5 121
## 422 6 93
## 423 7 125
## 424 8 122
## 425 1 124
## 426 2 116
## 427 3 144
## 428 4 117
## 429 5 120
## 430 6 101
## 431 7 117
## 432 8 103
## 433 1 145
## 434 2 127
## 435 3 121
## 436 4 117
## 437 5 118
## 438 6 118
## 439 7 141
## 440 8 105
## 441 1 106
## 442 2 90
## 443 3 117
## 444 4 149
## 445 5 127
## 446 6 130
## 447 7 130
## 448 8 126
## 449 1 75
## 450 2 99
## 451 3 119
## 452 4 135
## 453 5 132
## 454 6 125
## 455 7 139
## 456 8 145
## 457 1 107
## 458 2 144
## 459 3 105
## 460 4 110
## 461 5 102
## 462 6 140
## 463 7 130
## 464 8 139
## 465 1 124
## 466 2 138
## 467 3 125
## 468 4 121
## 469 5 143
## 470 6 115
## 471 7 113
## 472 8 124
## 473 1 122
## 474 2 58
## 475 3 119
## 476 4 142
## 477 5 118
## 478 6 130
## 479 7 77
## 480 8 121
## 481 1 101
## 482 2 109
## 483 3 101
## 484 4 104
## 485 5 102
## 486 6 114
## 487 7 62
## 488 8 126
## 489 1 128
## 490 2 110
## 491 3 105
## 492 4 138
## 493 5 163
## 494 6 105
## 495 7 93
## 496 8 119
## 497 1 104
## 498 2 129
## 499 3 110
## 500 4 112
## 501 5 132
## 502 6 101
## 503 7 109
## 504 8 114
## 505 1 97
## 506 2 150
## 507 3 100
## 508 4 117
## 509 5 116
## 510 6 132
## 511 7 145
## 512 8 118
## 513 1 137
## 514 2 128
## 515 3 98
## 516 4 109
## 517 5 138
## 518 6 112
## 519 7 92
## 520 8 127
## 521 1 103
## 522 2 142
## 523 3 127
## 524 4 131
## 525 5 139
## 526 6 69
## 527 7 120
## 528 8 117
## 529 1 142
## 530 2 115
## 531 3 117
## 532 4 120
## 533 5 132
## 534 6 114
## 535 7 135
## 536 8 137
## 537 1 130
## 538 2 108
## 539 3 122
## 540 4 116
## 541 5 87
## 542 6 123
## 543 7 113
## 544 8 133
## 545 1 156
## 546 2 139
## 547 3 122
## 548 4 140
## 549 5 131
## 550 6 129
## 551 7 126
## 552 8 100
## 553 1 133
## 554 2 115
## 555 3 118
## 556 4 103
## 557 5 130
## 558 6 114
## 559 7 143
## 560 8 107
## 561 1 120
## 562 2 136
## 563 3 137
## 564 4 120
## 565 5 123
## 566 6 115
## 567 7 128
## 568 8 115
## 569 1 91
## 570 2 163
## 571 3 120
## 572 4 139
## 573 5 115
## 574 6 98
## 575 7 98
## 576 8 91
## 577 1 127
## 578 2 131
## 579 3 143
## 580 4 123
## 581 5 116
## 582 6 128
## 583 7 110
## 584 8 112
## 585 1 153
## 586 2 77
## 587 3 108
## 588 4 104
## 589 5 119
## 590 6 119
## 591 7 162
## 592 8 125
## 593 1 121
## 594 2 124
## 595 3 131
## 596 4 111
## 597 5 125
## 598 6 154
## 599 7 116
## 600 8 157
## 601 1 120
## 602 2 104
## 603 3 110
## 604 4 122
## 605 5 144
## 606 6 127
## 607 7 128
## 608 8 108
## 609 1 99
## 610 2 102
## 611 3 105
## 612 4 116
## 613 5 123
## 614 6 131
## 615 7 111
## 616 8 130
## 617 1 149
## 618 2 94
## 619 3 125
## 620 4 129
## 621 5 120
## 622 6 129
## 623 7 137
## 624 8 135
## 625 1 129
## 626 2 158
## 627 3 78
## 628 4 133
## 629 5 140
## 630 6 114
## 631 7 100
## 632 8 123
## 633 1 139
## 634 2 112
## 635 3 114
## 636 4 110
## 637 5 120
## 638 6 110
## 639 7 160
## 640 8 100
# Lấy dữ liệu từ quan sát 3->9 và tất cả các biến
dat2 <- nv2.1[3:9,]
dat2
## I y B G P A H W S
## 3 3 1925 119 286 0 26 64 123 1
## 4 4 1925 124 287 0 27 62 105 1
## 5 5 1925 105 276 0 22 67 130 0
## 6 6 1925 120 289 1 31 59 102 0
## 7 7 1925 82 274 0 31 64 101 1
## 8 8 1925 111 278 0 29 65 145 1
## 9 1 1926 113 282 0 33 64 135 0
# Lấy dữ liệu từ quan sát 2,4,6,9,15,20 và tất cả các biến
dat3 <- nv2.1[c(2,4,5,9,15,20),]
dat3
## I y B G P A H W S
## 2 2 1925 112 267 1 22 62 138 0
## 4 4 1925 124 287 0 27 62 105 1
## 5 5 1925 105 276 0 22 67 130 0
## 9 1 1926 113 282 0 33 64 135 0
## 15 7 1926 100 274 0 24 63 113 0
## 20 4 1927 110 262 0 25 66 140 0
# Lấy dữ liệu từ quan sát 2,3,6,8,10 và từ biến 2,3,5
dat4 <- nv2.1[c(2,3,6,8,10),c(2,3,5)]
dat4
## y B P
## 2 1925 112 1
## 3 1925 119 0
## 6 1925 120 1
## 8 1925 111 0
## 10 1926 134 0
# Lấy dữ liệu từ quan sát H có giá trị >= 100 và tất cả các biến của bộ dữ liệu
dat5 <- nv2.1[nv2.1$H >=62,]
dat5
## I y B G P A H W S
## 1 1 1925 120 284 0 27 62 100 0
## 2 2 1925 112 267 1 22 62 138 0
## 3 3 1925 119 286 0 26 64 123 1
## 4 4 1925 124 287 0 27 62 105 1
## 5 5 1925 105 276 0 22 67 130 0
## 7 7 1925 82 274 0 31 64 101 1
## 8 8 1925 111 278 0 29 65 145 1
## 9 1 1926 113 282 0 33 64 135 0
## 10 2 1926 134 297 0 27 67 170 1
## 11 3 1926 97 279 0 29 68 178 1
## 12 4 1926 125 292 0 22 65 122 0
## 13 5 1926 93 246 0 37 65 130 0
## 15 7 1926 100 274 0 24 63 113 0
## 17 1 1927 128 279 0 28 64 115 1
## 18 2 1927 145 308 0 35 64 110 1
## 19 3 1927 99 252 0 21 64 120 0
## 20 4 1927 110 262 0 25 66 140 0
## 21 5 1927 122 281 0 42 63 103 1
## 22 6 1927 112 283 1 21 62 102 1
## 24 8 1927 114 276 0 26 62 127 0
## 25 1 1928 108 282 0 23 67 125 1
## 26 2 1928 116 295 0 32 65 120 0
## 27 3 1928 115 264 1 23 67 134 1
## 28 4 1928 125 279 0 23 63 104 1
## 29 5 1928 133 293 0 23 64 110 1
## 30 6 1928 132 278 0 20 64 150 1
## 31 7 1928 97 269 0 20 65 137 1
## 32 8 1928 75 247 0 36 64 120 1
## 33 1 1929 136 286 0 25 62 93 0
## 34 2 1929 126 278 0 26 64 150 1
## 36 4 1929 138 294 0 40 64 125 0
## 37 5 1929 130 296 1 22 66 117 1
## 40 8 1929 169 296 0 33 67 185 0
## 41 1 1930 138 244 0 33 62 178 0
## 42 2 1930 111 285 0 29 65 130 0
## 44 4 1930 142 284 0 39 66 132 0
## 46 6 1930 122 275 0 30 68 140 0
## 47 7 1930 122 275 1 20 65 127 0
## 49 1 1931 132 245 0 23 65 140 0
## 50 2 1931 126 282 0 33 62 117 0
## 51 3 1931 99 270 0 22 63 115 1
## 53 5 1931 106 278 0 31 65 110 1
## 54 6 1931 128 292 0 32 66 130 0
## 55 7 1931 152 295 0 39 62 140 0
## 56 8 1931 150 287 0 36 62 135 0
## 57 1 1932 120 289 0 25 62 125 0
## 58 2 1932 109 291 0 39 64 107 0
## 59 3 1932 105 280 1 22 63 116 0
## 60 4 1932 102 280 0 38 67 140 0
## 61 5 1932 120 281 0 33 63 113 0
## 62 6 1932 119 277 0 24 63 120 1
## 63 7 1932 116 274 0 21 62 110 1
## 64 8 1932 144 248 0 30 70 145 0
## 65 1 1933 143 299 0 30 66 136 1
## 66 2 1933 136 291 0 41 66 191 0
## 67 3 1933 89 275 0 34 66 170 0
## 69 5 1933 118 276 1 18 63 128 0
## 70 6 1933 135 278 0 27 66 148 0
## 71 7 1933 132 302 0 36 63 145 1
## 72 8 1933 144 291 0 28 67 130 0
## 73 1 1934 140 351 0 27 68 120 0
## 74 2 1934 119 286 0 22 63 185 1
## 75 3 1934 129 270 0 43 67 160 0
## 76 4 1934 133 276 1 22 63 119 0
## 77 5 1934 140 290 1 19 67 132 1
## 78 6 1934 129 235 0 24 66 135 0
## 79 7 1934 84 260 1 37 66 140 0
## 80 8 1934 143 313 0 20 68 150 0
## 81 1 1935 144 282 0 32 64 124 1
## 82 2 1935 103 267 1 21 66 150 1
## 83 3 1935 119 270 1 20 64 109 0
## 84 4 1935 127 290 0 35 66 165 0
## 85 5 1935 114 268 0 22 64 104 0
## 86 6 1935 116 293 1 28 62 108 0
## 88 8 1935 145 304 1 25 63 109 1
## 89 1 1936 141 279 0 23 63 128 1
## 90 2 1936 124 284 1 17 62 112 0
## 92 4 1936 104 274 1 20 62 115 1
## 93 5 1936 116 280 0 40 62 159 0
## 94 6 1936 100 275 0 27 64 111 1
## 95 7 1936 106 312 0 24 62 135 1
## 96 8 1936 121 285 0 34 64 110 0
## 98 2 1937 155 286 0 31 66 127 0
## 99 3 1937 106 289 0 28 67 120 1
## 100 4 1937 119 275 0 42 67 156 1
## 101 5 1937 129 284 0 24 64 115 0
## 102 6 1937 138 257 0 38 67 138 0
## 103 7 1937 139 291 0 24 65 160 0
## 104 8 1937 105 256 0 31 66 142 0
## 105 1 1938 114 273 0 30 63 154 0
## 106 2 1938 122 282 1 21 66 110 0
## 107 3 1938 122 292 1 34 65 133 0
## 108 4 1938 152 301 0 29 65 150 0
## 109 5 1938 120 286 0 22 62 115 1
## 110 6 1938 123 282 0 22 65 130 0
## 111 7 1938 103 273 0 36 65 158 1
## 112 8 1938 134 286 0 25 64 125 0
## 113 1 1939 115 285 0 38 63 130 0
## 114 2 1939 113 285 0 26 66 140 0
## 115 3 1939 136 261 0 24 65 110 0
## 116 4 1939 123 284 1 20 65 120 1
## 117 5 1939 127 281 0 24 63 112 1
## 119 7 1939 112 299 0 24 67 145 1
## 120 8 1939 129 294 1 21 65 132 0
## 121 1 1940 92 255 0 25 65 125 1
## 122 2 1940 122 273 0 26 66 210 0
## 123 3 1940 121 286 1 22 69 130 1
## 124 4 1940 143 273 0 19 66 135 0
## 125 5 1940 71 234 0 32 64 110 1
## 126 6 1940 129 280 1 24 65 140 1
## 127 7 1940 96 276 0 33 64 127 1
## 128 8 1940 114 276 0 24 63 110 0
## 130 2 1941 126 293 1 27 62 111 0
## 131 3 1941 112 282 0 26 65 122 0
## 132 4 1941 131 308 0 40 65 160 0
## 133 5 1941 88 274 0 30 66 130 0
## 134 6 1941 122 280 0 24 67 127 1
## 135 7 1941 102 281 1 19 67 135 1
## 137 1 1942 144 261 0 33 68 170 0
## 138 2 1942 116 277 0 41 64 124 1
## 139 3 1942 112 266 0 26 64 122 0
## 140 4 1942 141 319 1 20 67 140 1
## 141 5 1942 122 286 0 23 64 145 0
## 142 6 1942 132 281 1 21 67 140 0
## 143 7 1942 120 300 0 34 63 150 1
## 144 8 1942 160 292 0 28 64 120 0
## 145 1 1943 119 288 0 43 66 142 1
## 146 2 1943 102 294 0 21 65 130 1
## 148 4 1943 129 277 0 30 66 142 1
## 149 5 1943 106 302 1 19 66 147 0
## 150 6 1943 120 269 1 40 63 130 0
## 151 7 1943 102 338 0 19 64 170 0
## 152 8 1943 65 237 0 31 67 130 0
## 154 2 1944 110 181 0 27 64 133 0
## 155 3 1944 139 286 0 33 65 125 1
## 157 5 1944 135 285 0 30 66 130 0
## 158 6 1944 114 283 1 20 65 115 0
## 159 7 1944 97 255 1 22 63 107 1
## 160 8 1944 145 288 0 28 64 116 0
## 161 1 1945 115 274 0 27 67 175 1
## 162 2 1945 133 285 1 30 64 160 0
## 164 4 1945 119 292 0 33 62 118 1
## 165 5 1945 107 290 0 26 63 112 0
## 166 6 1945 130 280 0 29 66 135 0
## 167 7 1945 113 285 0 22 70 145 0
## 169 1 1946 137 287 0 25 66 145 0
## 170 2 1946 125 283 0 29 65 125 0
## 171 3 1946 105 295 1 20 64 112 1
## 172 4 1946 109 295 1 23 63 103 1
## 173 5 1946 129 294 0 32 62 170 1
## 174 6 1946 117 286 0 32 66 127 1
## 176 8 1946 139 293 1 21 69 130 0
## 177 1 1947 122 276 0 30 68 182 0
## 178 2 1947 164 286 1 32 66 143 0
## 179 3 1947 130 276 0 41 68 130 0
## 180 4 1947 104 280 1 27 68 146 1
## 181 5 1947 126 274 0 39 62 122 0
## 182 6 1947 142 285 0 33 63 124 0
## 183 7 1947 97 260 1 25 63 115 1
## 184 8 1947 123 288 0 27 63 125 0
## 185 1 1948 131 294 0 23 65 122 0
## 187 3 1948 146 294 0 22 66 145 1
## 188 4 1948 131 282 1 21 66 126 0
## 189 5 1948 116 293 1 26 64 125 0
## 190 6 1948 144 273 0 27 62 118 1
## 192 8 1948 109 283 0 23 65 112 1
## 193 1 1949 103 261 0 27 65 112 1
## 194 2 1949 124 293 1 19 65 150 0
## 195 3 1949 133 290 0 21 64 145 0
## 196 4 1949 110 293 1 28 64 135 1
## 197 5 1949 124 294 0 26 62 122 0
## 198 6 1949 127 262 1 32 64 125 0
## 199 7 1949 114 266 0 29 64 113 0
## 200 8 1949 110 268 0 34 64 127 0
## 202 2 1950 122 306 1 22 62 100 0
## 203 3 1950 147 296 1 19 67 124 0
## 204 4 1950 148 279 0 27 71 189 0
## 205 5 1950 123 281 0 23 68 136 0
## 206 6 1950 115 270 0 25 67 165 1
## 208 8 1950 122 296 1 24 65 132 0
## 209 1 1951 114 266 0 20 65 175 1
## 210 2 1951 121 271 1 34 63 129 1
## 211 3 1951 109 269 0 23 63 113 0
## 212 4 1951 137 283 1 20 65 157 0
## 213 5 1951 145 315 0 39 67 143 1
## 214 6 1951 85 258 0 41 67 137 0
## 215 7 1951 87 247 1 18 66 125 1
## 216 8 1951 115 307 0 34 65 128 1
## 217 1 1952 125 292 0 32 65 125 0
## 218 2 1952 100 272 0 30 64 150 1
## 219 3 1952 122 286 0 23 64 120 1
## 220 4 1952 117 283 0 27 63 108 0
## 221 5 1952 102 278 0 27 67 135 1
## 222 6 1952 99 274 0 28 66 118 1
## 224 8 1952 108 279 1 19 64 115 0
## 225 1 1953 114 274 0 28 66 132 1
## 226 2 1953 90 266 1 26 67 135 0
## 227 3 1953 135 260 0 43 65 135 0
## 228 4 1953 115 302 1 22 67 135 0
## 229 5 1953 129 293 0 30 65 130 1
## 230 6 1953 123 323 1 17 64 140 0
## 231 7 1953 144 283 1 25 66 140 0
## 232 8 1953 120 287 0 23 67 116 1
## 234 2 1954 128 272 1 18 67 109 0
## 235 3 1954 117 272 0 32 66 118 0
## 236 4 1954 98 280 0 35 64 122 1
## 239 7 1954 116 273 0 33 66 130 1
## 240 8 1954 131 269 0 36 68 145 0
## 242 2 1955 86 276 1 23 65 125 1
## 243 3 1955 138 284 0 30 66 133 1
## 244 4 1955 136 303 1 20 68 148 1
## 246 6 1955 68 223 0 32 66 149 1
## 247 7 1955 75 265 0 21 65 103 1
## 248 8 1955 136 283 1 24 63 119 0
## 249 1 1956 130 268 0 30 66 123 0
## 250 2 1956 123 282 0 30 63 118 0
## 251 3 1956 120 283 0 28 64 122 1
## 252 4 1956 121 276 1 23 71 152 1
## 253 5 1956 135 282 0 24 67 128 1
## 254 6 1956 102 283 1 19 65 127 1
## 255 7 1956 138 286 1 28 68 120 0
## 256 8 1956 125 290 0 32 63 135 0
## 258 2 1957 87 275 0 28 63 110 1
## 259 3 1957 119 273 0 35 65 125 1
## 260 4 1957 132 285 1 25 63 140 0
## 261 5 1957 101 278 1 20 62 105 0
## 262 6 1957 109 273 0 37 65 138 1
## 263 7 1957 99 271 0 39 69 151 0
## 264 8 1957 96 285 1 20 66 117 1
## 265 1 1958 113 281 0 24 65 120 0
## 266 2 1958 128 291 1 27 63 132 0
## 267 3 1958 118 278 1 19 62 126 0
## 269 5 1958 96 266 0 26 65 125 0
## 271 7 1958 118 293 0 21 63 103 0
## 272 8 1958 102 282 1 29 65 125 1
## 273 1 1959 134 283 0 22 67 130 0
## 274 2 1959 120 288 0 28 63 125 0
## 275 3 1959 105 330 0 23 64 112 1
## 279 7 1959 97 266 0 24 62 109 0
## 280 8 1959 102 288 1 18 65 117 0
## 281 1 1960 107 279 0 24 63 115 0
## 282 2 1960 125 301 1 35 68 181 0
## 283 3 1960 113 306 1 21 65 137 0
## 285 5 1960 100 249 0 24 67 100 0
## 286 6 1960 78 256 1 29 65 123 0
## 287 7 1960 146 319 0 28 66 145 0
## 288 8 1960 112 277 1 22 67 120 0
## 289 1 1961 134 288 0 23 63 92 1
## 291 3 1961 148 291 1 21 63 115 0
## 293 5 1961 154 292 0 40 66 145 0
## 294 6 1961 128 284 1 19 66 111 1
## 295 7 1961 81 285 0 19 63 150 1
## 296 8 1961 135 272 0 30 65 130 0
## 297 1 1962 122 267 0 27 65 101 1
## 298 2 1962 116 284 1 24 66 117 0
## 299 3 1962 140 281 1 22 69 135 0
## 300 4 1962 132 284 0 29 64 122 0
## 301 5 1962 127 293 0 31 67 137 0
## 302 6 1962 107 303 1 25 67 133 0
## 303 7 1962 110 321 0 28 66 180 0
## 306 2 1963 131 262 0 22 67 135 0
## 307 3 1963 134 287 1 33 67 131 0
## 308 4 1963 80 266 1 25 62 125 0
## 309 5 1963 126 288 0 31 62 150 0
## 310 6 1963 136 295 0 23 64 147 0
## 312 8 1963 129 276 0 31 63 125 0
## 313 1 1964 110 278 0 23 63 177 0
## 314 2 1964 151 286 1 22 66 130 0
## 316 4 1964 109 286 0 24 64 125 1
## 317 5 1964 126 282 1 23 66 115 1
## 319 7 1964 114 290 1 21 65 120 1
## 320 8 1964 155 290 0 26 66 129 1
## 322 2 1965 88 273 0 20 66 110 1
## 323 3 1965 123 296 1 26 64 110 1
## 325 5 1965 127 279 0 26 67 155 1
## 326 6 1965 100 275 1 25 64 125 0
## 327 7 1965 124 288 1 21 64 116 1
## 328 8 1965 109 274 0 33 69 144 1
## 329 1 1966 87 248 0 37 65 130 1
## 330 2 1966 137 284 0 30 67 110 0
## 331 3 1966 102 275 0 43 64 160 0
## 332 4 1966 143 292 1 21 65 125 0
## 333 5 1966 98 275 0 25 65 112 1
## 334 6 1966 109 272 0 41 66 154 1
## 335 7 1966 115 262 1 23 64 136 1
## 337 1 1967 143 274 0 27 63 110 1
## 338 2 1967 127 289 0 23 67 140 0
## 339 3 1967 55 204 0 35 65 140 0
## 340 4 1967 136 290 0 26 66 135 0
## 341 5 1967 127 288 1 21 66 130 0
## 342 6 1967 117 281 1 21 70 141 1
## 343 7 1967 143 281 0 28 65 135 1
## 344 8 1967 125 273 0 30 64 145 0
## 345 1 1968 155 294 0 32 66 150 0
## 347 3 1968 103 276 1 19 63 149 1
## 348 4 1968 110 285 1 19 64 130 0
## 349 5 1968 129 299 0 22 68 145 0
## 351 7 1968 113 287 1 29 70 145 1
## 352 8 1968 94 284 0 24 63 104 1
## 354 2 1969 129 281 0 31 67 155 0
## 355 3 1969 123 283 0 21 65 110 0
## 356 4 1969 98 257 0 29 66 130 1
## 357 5 1969 131 292 1 22 64 124 1
## 358 6 1969 95 270 0 35 65 135 1
## 359 7 1969 109 244 1 21 63 102 1
## 360 8 1969 148 281 0 27 63 110 1
## 361 1 1970 122 275 0 26 66 147 0
## 362 2 1970 128 288 1 26 65 114 0
## 363 3 1970 105 270 1 27 65 134 1
## 364 4 1970 108 305 1 24 65 112 0
## 365 5 1970 132 289 1 19 66 145 0
## 366 6 1970 127 291 1 24 66 135 1
## 368 8 1970 73 277 0 29 65 145 0
## 369 1 1971 145 291 0 26 63 119 1
## 370 2 1971 85 255 0 24 68 159 0
## 371 3 1971 138 289 0 33 65 155 0
## 372 4 1971 101 295 0 18 62 145 1
## 373 5 1971 127 280 0 27 62 118 0
## 374 6 1971 107 293 0 20 65 155 1
## 375 7 1971 118 276 0 34 64 116 0
## 376 8 1971 123 267 1 19 66 132 1
## 377 1 1972 115 258 0 26 62 130 0
## 378 2 1972 111 281 1 27 64 112 0
## 379 3 1972 128 281 0 28 63 150 0
## 382 6 1972 126 262 0 37 66 135 1
## 383 7 1972 127 290 0 27 65 121 0
## 384 8 1972 65 232 0 24 66 125 1
## 385 1 1973 108 283 0 31 65 148 1
## 387 3 1973 139 285 0 30 65 129 1
## 388 4 1973 124 292 0 29 68 176 1
## 389 5 1973 115 290 0 30 64 140 1
## 390 6 1973 98 278 0 27 63 110 1
## 391 7 1973 132 270 0 27 65 126 0
## 392 8 1973 118 279 1 21 64 108 0
## 394 2 1974 112 292 1 28 62 110 1
## 396 4 1974 106 276 0 30 66 130 0
## 397 5 1974 145 290 1 24 67 125 0
## 398 6 1974 96 241 0 23 64 130 1
## 401 1 1975 143 286 0 31 64 126 0
## 403 3 1975 159 296 1 27 64 112 0
## 404 4 1975 101 278 0 25 62 112 1
## 405 5 1975 102 249 1 23 67 134 1
## 406 6 1975 104 282 0 24 63 144 0
## 407 7 1975 128 265 0 24 67 120 0
## 409 1 1976 146 267 0 30 67 132 0
## 411 3 1976 118 276 0 29 62 130 1
## 412 4 1976 100 277 0 31 62 100 1
## 413 5 1976 136 299 0 29 64 115 0
## 414 6 1976 133 273 1 33 63 135 0
## 415 7 1976 130 291 0 30 65 150 1
## 416 8 1976 108 270 1 21 65 130 1
## 418 2 1977 122 281 1 24 65 137 1
## 419 3 1977 99 285 0 25 69 128 1
## 420 4 1977 104 269 0 35 63 110 1
## 421 5 1977 121 282 0 22 66 133 0
## 422 6 1977 93 267 0 25 63 135 1
## 423 7 1977 125 281 1 21 65 110 0
## 424 8 1977 122 280 1 45 62 128 0
## 425 1 1978 124 278 0 26 70 145 1
## 426 2 1978 116 291 0 26 66 153 0
## 427 3 1978 144 281 0 20 63 120 0
## 428 4 1978 117 270 0 24 67 135 1
## 429 5 1978 120 286 0 25 62 105 0
## 430 6 1978 101 280 1 24 65 123 1
## 431 7 1978 117 297 0 38 65 129 0
## 432 8 1978 103 268 0 32 62 97 1
## 433 1 1979 145 257 0 33 65 140 0
## 434 2 1979 127 272 0 20 64 130 1
## 435 3 1979 121 270 0 25 62 108 1
## 436 4 1979 117 267 0 29 65 120 1
## 438 6 1979 118 277 0 21 64 155 0
## 439 7 1979 141 277 0 38 66 162 0
## 443 3 1980 117 265 1 24 66 98 0
## 444 4 1980 149 279 0 25 67 135 0
## 445 5 1980 127 304 1 26 62 105 0
## 447 7 1980 130 270 1 19 66 130 0
## 448 8 1980 126 273 1 25 68 135 0
## 451 3 1981 119 293 1 23 65 127 0
## 452 4 1981 135 284 0 25 66 123 0
## 453 5 1981 132 281 1 24 63 117 0
## 454 6 1981 125 288 0 22 63 128 1
## 455 7 1981 139 299 1 20 67 112 0
## 456 8 1981 145 316 0 22 67 142 0
## 458 2 1982 144 307 1 26 66 125 0
## 460 4 1982 110 283 1 21 66 129 0
## 461 5 1982 102 258 1 22 65 135 0
## 462 6 1982 140 291 1 19 65 122 0
## 463 7 1982 130 283 0 32 65 118 0
## 464 8 1982 139 293 0 34 66 131 0
## 465 1 1983 124 288 0 22 67 118 0
## 466 2 1983 138 280 1 30 65 175 0
## 467 3 1983 125 283 0 37 63 145 1
## 468 4 1983 121 276 0 31 67 130 0
## 469 5 1983 143 279 0 39 65 129 1
## 470 6 1983 115 290 1 19 65 118 0
## 472 8 1983 124 290 0 26 65 165 0
## 473 1 1984 122 280 0 23 65 125 1
## 474 2 1984 58 245 0 34 64 156 1
## 475 3 1984 119 259 0 37 62 130 0
## 476 4 1984 142 285 1 24 66 136 0
## 477 5 1984 118 277 0 25 62 120 0
## 478 6 1984 130 293 0 26 63 123 0
## 479 7 1984 77 238 1 23 63 103 1
## 480 8 1984 121 282 0 30 65 122 0
## 481 1 1985 101 245 0 23 63 130 1
## 482 2 1985 109 265 1 24 63 107 1
## 484 4 1985 104 260 0 33 64 145 0
## 485 5 1985 102 286 1 22 64 140 0
## 486 6 1985 114 277 1 31 64 125 0
## 489 1 1986 128 283 0 28 63 125 1
## 490 2 1986 110 277 1 19 62 160 0
## 491 3 1986 105 277 1 25 64 156 0
## 492 4 1986 138 296 0 34 66 120 0
## 493 5 1986 163 280 0 35 69 139 0
## 494 6 1986 105 278 0 21 64 120 0
## 496 8 1986 119 286 1 33 67 137 0
## 497 1 1987 104 282 0 36 65 115 1
## 498 2 1987 129 278 0 27 63 128 0
## 500 4 1987 112 278 1 21 63 120 0
## 501 5 1987 132 294 0 32 64 116 0
## 503 7 1987 109 275 1 37 63 112 1
## 504 8 1987 114 277 1 19 63 107 0
## 505 1 1988 97 246 0 37 63 150 0
## 506 2 1988 150 284 0 40 67 130 0
## 507 3 1988 100 270 1 21 65 132 1
## 510 6 1988 132 286 0 26 67 122 1
## 511 7 1988 145 283 0 27 65 125 1
## 512 8 1988 118 272 0 23 64 113 0
## 513 1 1989 137 274 0 26 69 137 1
## 514 2 1989 128 279 0 27 66 135 0
## 515 3 1989 98 284 0 29 68 140 0
## 516 4 1989 109 282 0 25 62 106 1
## 517 5 1989 138 288 1 19 66 124 0
## 518 6 1989 112 252 0 37 64 162 0
## 519 7 1989 92 224 0 19 63 134 1
## 520 8 1989 127 295 0 36 65 145 0
## 521 1 1990 103 273 0 31 63 170 1
## 522 2 1990 142 284 1 31 66 137 1
## 523 3 1990 127 276 0 37 64 159 0
## 524 4 1990 131 266 1 28 67 135 0
## 525 5 1990 139 279 0 20 64 143 0
## 528 8 1990 117 290 1 22 67 110 0
## 529 1 1991 142 276 0 38 63 170 0
## 530 2 1991 115 268 1 31 64 125 0
## 531 3 1991 117 324 0 22 62 164 1
## 532 4 1991 120 273 0 29 64 130 1
## 534 6 1991 114 264 0 26 63 110 1
## 535 7 1991 135 284 0 39 67 141 0
## 536 8 1991 137 277 0 41 65 126 0
## 537 1 1992 130 289 0 27 66 130 0
## 538 2 1992 108 283 0 35 62 108 0
## 539 3 1992 122 278 0 37 68 114 0
## 540 4 1992 116 270 0 29 63 132 0
## 541 5 1992 87 282 0 27 63 104 1
## 542 6 1992 123 267 0 29 63 111 1
## 543 7 1992 113 287 0 36 63 118 0
## 544 8 1992 133 292 0 29 65 135 0
## 545 1 1993 156 292 0 26 63 118 0
## 546 2 1993 139 281 0 27 63 137 0
## 547 3 1993 122 273 1 23 64 130 1
## 548 4 1993 140 290 0 23 65 110 0
## 549 5 1993 131 297 0 30 67 132 0
## 550 6 1993 129 284 1 20 66 130 1
## 551 7 1993 126 251 1 28 64 123 0
## 553 1 1994 133 284 0 25 66 125 1
## 555 3 1994 118 281 1 36 66 140 1
## 556 4 1994 103 273 1 22 64 110 1
## 557 5 1994 130 282 0 26 67 147 1
## 558 6 1994 114 283 1 15 64 117 1
## 559 7 1994 143 270 1 27 70 148 0
## 560 8 1994 107 273 1 26 65 135 0
## 561 1 1995 120 274 0 24 62 120 0
## 562 2 1995 136 288 0 23 62 217 0
## 563 3 1995 137 303 1 23 66 127 1
## 564 4 1995 120 279 1 23 67 135 0
## 565 5 1995 123 290 0 28 66 107 1
## 566 6 1995 115 290 0 31 62 95 0
## 567 7 1995 128 282 1 25 64 125 0
## 568 8 1995 115 276 1 20 62 105 1
## 570 2 1996 163 289 1 25 64 126 1
## 571 3 1996 120 275 0 32 63 115 1
## 572 4 1996 139 260 1 32 64 127 0
## 573 5 1996 115 276 1 18 63 110 0
## 574 6 1996 98 272 1 35 64 129 0
## 575 7 1996 98 262 0 22 67 120 0
## 577 1 1997 127 274 0 21 62 110 0
## 578 2 1997 131 285 0 26 64 130 0
## 579 3 1997 143 285 0 27 68 185 0
## 580 4 1997 123 254 0 26 62 130 1
## 581 5 1997 116 272 0 27 64 130 1
## 582 6 1997 128 283 0 27 67 126 0
## 584 8 1997 112 287 0 27 64 110 1
## 585 1 1998 153 286 0 26 63 107 1
## 586 2 1998 77 238 0 38 67 135 1
## 587 3 1998 108 270 0 29 67 124 1
## 588 4 1998 104 280 1 23 64 107 1
## 589 5 1998 119 286 1 20 67 130 0
## 590 6 1998 119 271 0 28 64 175 1
## 591 7 1998 162 284 0 27 64 126 0
## 593 1 1999 121 276 0 39 63 130 0
## 594 2 1999 124 283 1 33 67 156 1
## 597 5 1999 125 279 1 19 67 135 0
## 598 6 1999 154 288 0 25 65 147 0
## 599 7 1999 116 292 1 20 65 118 0
## 600 8 1999 157 291 0 33 65 121 0
## 601 1 2000 120 277 0 27 63 126 0
## 602 2 2000 104 270 1 26 62 115 0
## 604 4 2000 122 277 0 32 63 157 1
## 605 5 2000 144 282 0 33 66 155 1
## 606 6 2000 127 247 1 21 63 140 0
## 607 7 2000 128 284 0 23 62 110 0
## 608 8 2000 108 256 1 26 67 130 0
## 609 1 2001 99 272 0 27 62 103 1
## 611 3 2001 105 276 0 20 62 112 1
## 612 4 2001 116 271 1 30 67 144 1
## 613 5 2001 123 269 0 26 67 132 0
## 614 6 2001 131 263 0 29 64 180 1
## 616 8 2001 130 279 0 31 62 122 0
## 617 1 2002 149 293 0 35 65 116 0
## 618 2 2002 94 268 0 30 62 105 1
## 619 3 2002 125 255 0 23 63 133 0
## 620 4 2002 129 277 0 27 68 130 1
## 621 5 2002 120 276 0 23 66 114 0
## 624 8 2002 135 289 0 25 64 127 0
## 625 1 2003 129 280 0 23 64 104 0
## 626 2 2003 158 295 1 37 70 137 0
## 627 3 2003 78 258 1 24 66 115 1
## 628 4 2003 133 292 0 30 65 112 1
## 629 5 2003 140 251 0 28 63 210 0
## 630 6 2003 114 286 1 22 64 116 1
## 631 7 2003 100 264 0 29 64 120 1
## 632 8 2003 123 277 0 24 66 122 0
## 633 1 2004 139 292 0 25 68 135 0
## 634 2 2004 112 275 1 21 68 143 1
## 637 5 2004 120 271 1 17 64 142 1
## 638 6 2004 110 280 0 29 62 110 1
## 639 7 2004 160 271 0 32 67 215 0
# Lấy dữ liệu từ quan sát G có giá trị trong khoảng từ 200 đến 300 và tất cả các biến của bộ dữ liệu
dat6 <- nv2.1[nv2.1$G >=200 & nv2.1$G <=300,]
dat6
## I y B G P A H W S
## 1 1 1925 120 284 0 27 62 100 0
## 2 2 1925 112 267 1 22 62 138 0
## 3 3 1925 119 286 0 26 64 123 1
## 4 4 1925 124 287 0 27 62 105 1
## 5 5 1925 105 276 0 22 67 130 0
## 6 6 1925 120 289 1 31 59 102 0
## 7 7 1925 82 274 0 31 64 101 1
## 8 8 1925 111 278 0 29 65 145 1
## 9 1 1926 113 282 0 33 64 135 0
## 10 2 1926 134 297 0 27 67 170 1
## 11 3 1926 97 279 0 29 68 178 1
## 12 4 1926 125 292 0 22 65 122 0
## 13 5 1926 93 246 0 37 65 130 0
## 14 6 1926 146 280 0 23 61 145 0
## 15 7 1926 100 274 0 24 63 113 0
## 16 8 1926 103 250 0 40 59 140 0
## 17 1 1927 128 279 0 28 64 115 1
## 19 3 1927 99 252 0 21 64 120 0
## 20 4 1927 110 262 0 25 66 140 0
## 21 5 1927 122 281 0 42 63 103 1
## 22 6 1927 112 283 1 21 62 102 1
## 23 7 1927 114 271 0 32 61 130 0
## 24 8 1927 114 276 0 26 62 127 0
## 25 1 1928 108 282 0 23 67 125 1
## 26 2 1928 116 295 0 32 65 120 0
## 27 3 1928 115 264 1 23 67 134 1
## 28 4 1928 125 279 0 23 63 104 1
## 29 5 1928 133 293 0 23 64 110 1
## 30 6 1928 132 278 0 20 64 150 1
## 31 7 1928 97 269 0 20 65 137 1
## 32 8 1928 75 247 0 36 64 120 1
## 33 1 1929 136 286 0 25 62 93 0
## 34 2 1929 126 278 0 26 64 150 1
## 35 3 1929 139 284 0 37 61 121 0
## 36 4 1929 138 294 0 40 64 125 0
## 37 5 1929 130 296 1 22 66 117 1
## 38 6 1929 146 263 0 39 53 110 1
## 39 7 1929 126 298 0 24 61 112 0
## 40 8 1929 169 296 0 33 67 185 0
## 41 1 1930 138 244 0 33 62 178 0
## 42 2 1930 111 285 0 29 65 130 0
## 44 4 1930 142 284 0 39 66 132 0
## 46 6 1930 122 275 0 30 68 140 0
## 47 7 1930 122 275 1 20 65 127 0
## 48 8 1930 94 271 0 36 61 130 1
## 49 1 1931 132 245 0 23 65 140 0
## 50 2 1931 126 282 0 33 62 117 0
## 51 3 1931 99 270 0 22 63 115 1
## 52 4 1931 115 278 0 23 60 102 1
## 53 5 1931 106 278 0 31 65 110 1
## 54 6 1931 128 292 0 32 66 130 0
## 55 7 1931 152 295 0 39 62 140 0
## 56 8 1931 150 287 0 36 62 135 0
## 57 1 1932 120 289 0 25 62 125 0
## 58 2 1932 109 291 0 39 64 107 0
## 59 3 1932 105 280 1 22 63 116 0
## 60 4 1932 102 280 0 38 67 140 0
## 61 5 1932 120 281 0 33 63 113 0
## 62 6 1932 119 277 0 24 63 120 1
## 63 7 1932 116 274 0 21 62 110 1
## 64 8 1932 144 248 0 30 70 145 0
## 65 1 1933 143 299 0 30 66 136 1
## 66 2 1933 136 291 0 41 66 191 0
## 67 3 1933 89 275 0 34 66 170 0
## 68 4 1933 140 294 0 25 61 103 0
## 69 5 1933 118 276 1 18 63 128 0
## 70 6 1933 135 278 0 27 66 148 0
## 72 8 1933 144 291 0 28 67 130 0
## 74 2 1934 119 286 0 22 63 185 1
## 75 3 1934 129 270 0 43 67 160 0
## 76 4 1934 133 276 1 22 63 119 0
## 77 5 1934 140 290 1 19 67 132 1
## 78 6 1934 129 235 0 24 66 135 0
## 79 7 1934 84 260 1 37 66 140 0
## 81 1 1935 144 282 0 32 64 124 1
## 82 2 1935 103 267 1 21 66 150 1
## 83 3 1935 119 270 1 20 64 109 0
## 84 4 1935 127 290 0 35 66 165 0
## 85 5 1935 114 268 0 22 64 104 0
## 86 6 1935 116 293 1 28 62 108 0
## 87 7 1935 119 277 1 18 61 89 1
## 89 1 1936 141 279 0 23 63 128 1
## 90 2 1936 124 284 1 17 62 112 0
## 91 3 1936 114 291 0 35 60 112 0
## 92 4 1936 104 274 1 20 62 115 1
## 93 5 1936 116 280 0 40 62 159 0
## 94 6 1936 100 275 0 27 64 111 1
## 96 8 1936 121 285 0 34 64 110 0
## 97 1 1937 110 281 0 36 61 99 1
## 98 2 1937 155 286 0 31 66 127 0
## 99 3 1937 106 289 0 28 67 120 1
## 100 4 1937 119 275 0 42 67 156 1
## 101 5 1937 129 284 0 24 64 115 0
## 102 6 1937 138 257 0 38 67 138 0
## 103 7 1937 139 291 0 24 65 160 0
## 104 8 1937 105 256 0 31 66 142 0
## 105 1 1938 114 273 0 30 63 154 0
## 106 2 1938 122 282 1 21 66 110 0
## 107 3 1938 122 292 1 34 65 133 0
## 109 5 1938 120 286 0 22 62 115 1
## 110 6 1938 123 282 0 22 65 130 0
## 111 7 1938 103 273 0 36 65 158 1
## 112 8 1938 134 286 0 25 64 125 0
## 113 1 1939 115 285 0 38 63 130 0
## 114 2 1939 113 285 0 26 66 140 0
## 115 3 1939 136 261 0 24 65 110 0
## 116 4 1939 123 284 1 20 65 120 1
## 117 5 1939 127 281 0 24 63 112 1
## 118 6 1939 113 288 1 21 61 120 0
## 119 7 1939 112 299 0 24 67 145 1
## 120 8 1939 129 294 1 21 65 132 0
## 121 1 1940 92 255 0 25 65 125 1
## 122 2 1940 122 273 0 26 66 210 0
## 123 3 1940 121 286 1 22 69 130 1
## 124 4 1940 143 273 0 19 66 135 0
## 125 5 1940 71 234 0 32 64 110 1
## 126 6 1940 129 280 1 24 65 140 1
## 127 7 1940 96 276 0 33 64 127 1
## 128 8 1940 114 276 0 24 63 110 0
## 129 1 1941 115 261 0 33 60 125 1
## 130 2 1941 126 293 1 27 62 111 0
## 131 3 1941 112 282 0 26 65 122 0
## 133 5 1941 88 274 0 30 66 130 0
## 134 6 1941 122 280 0 24 67 127 1
## 135 7 1941 102 281 1 19 67 135 1
## 136 8 1941 97 265 0 30 61 110 0
## 137 1 1942 144 261 0 33 68 170 0
## 138 2 1942 116 277 0 41 64 124 1
## 139 3 1942 112 266 0 26 64 122 0
## 141 5 1942 122 286 0 23 64 145 0
## 142 6 1942 132 281 1 21 67 140 0
## 143 7 1942 120 300 0 34 63 150 1
## 144 8 1942 160 292 0 28 64 120 0
## 145 1 1943 119 288 0 43 66 142 1
## 146 2 1943 102 294 0 21 65 130 1
## 148 4 1943 129 277 0 30 66 142 1
## 150 6 1943 120 269 1 40 63 130 0
## 152 8 1943 65 237 0 31 67 130 0
## 153 1 1944 105 270 0 22 56 93 0
## 155 3 1944 139 286 0 33 65 125 1
## 156 4 1944 113 282 1 36 59 140 0
## 157 5 1944 135 285 0 30 66 130 0
## 158 6 1944 114 283 1 20 65 115 0
## 159 7 1944 97 255 1 22 63 107 1
## 160 8 1944 145 288 0 28 64 116 0
## 161 1 1945 115 274 0 27 67 175 1
## 162 2 1945 133 285 1 30 64 160 0
## 163 3 1945 125 290 0 36 59 105 0
## 164 4 1945 119 292 0 33 62 118 1
## 165 5 1945 107 290 0 26 63 112 0
## 166 6 1945 130 280 0 29 66 135 0
## 167 7 1945 113 285 0 22 70 145 0
## 168 8 1945 95 273 0 23 60 90 0
## 169 1 1946 137 287 0 25 66 145 0
## 170 2 1946 125 283 0 29 65 125 0
## 171 3 1946 105 295 1 20 64 112 1
## 172 4 1946 109 295 1 23 63 103 1
## 173 5 1946 129 294 0 32 62 170 1
## 174 6 1946 117 286 0 32 66 127 1
## 175 7 1946 130 297 0 32 58 130 0
## 176 8 1946 139 293 1 21 69 130 0
## 177 1 1947 122 276 0 30 68 182 0
## 178 2 1947 164 286 1 32 66 143 0
## 179 3 1947 130 276 0 41 68 130 0
## 180 4 1947 104 280 1 27 68 146 1
## 181 5 1947 126 274 0 39 62 122 0
## 182 6 1947 142 285 0 33 63 124 0
## 183 7 1947 97 260 1 25 63 115 1
## 184 8 1947 123 288 0 27 63 125 0
## 185 1 1948 131 294 0 23 65 122 0
## 186 2 1948 133 297 0 36 61 125 0
## 187 3 1948 146 294 0 22 66 145 1
## 188 4 1948 131 282 1 21 66 126 0
## 189 5 1948 116 293 1 26 64 125 0
## 190 6 1948 144 273 0 27 62 118 1
## 191 7 1948 116 273 0 31 61 120 0
## 192 8 1948 109 283 0 23 65 112 1
## 193 1 1949 103 261 0 27 65 112 1
## 194 2 1949 124 293 1 19 65 150 0
## 195 3 1949 133 290 0 21 64 145 0
## 196 4 1949 110 293 1 28 64 135 1
## 197 5 1949 124 294 0 26 62 122 0
## 198 6 1949 127 262 1 32 64 125 0
## 199 7 1949 114 266 0 29 64 113 0
## 200 8 1949 110 268 0 34 64 127 0
## 201 1 1950 146 280 0 26 58 106 0
## 203 3 1950 147 296 1 19 67 124 0
## 204 4 1950 148 279 0 27 71 189 0
## 205 5 1950 123 281 0 23 68 136 0
## 206 6 1950 115 270 0 25 67 165 1
## 207 7 1950 127 242 0 17 61 135 1
## 208 8 1950 122 296 1 24 65 132 0
## 209 1 1951 114 266 0 20 65 175 1
## 210 2 1951 121 271 1 34 63 129 1
## 211 3 1951 109 269 0 23 63 113 0
## 212 4 1951 137 283 1 20 65 157 0
## 214 6 1951 85 258 0 41 67 137 0
## 215 7 1951 87 247 1 18 66 125 1
## 217 1 1952 125 292 0 32 65 125 0
## 218 2 1952 100 272 0 30 64 150 1
## 219 3 1952 122 286 0 23 64 120 1
## 220 4 1952 117 283 0 27 63 108 0
## 221 5 1952 102 278 0 27 67 135 1
## 222 6 1952 99 274 0 28 66 118 1
## 223 7 1952 141 281 0 29 54 156 1
## 224 8 1952 108 279 1 19 64 115 0
## 225 1 1953 114 274 0 28 66 132 1
## 226 2 1953 90 266 1 26 67 135 0
## 227 3 1953 135 260 0 43 65 135 0
## 229 5 1953 129 293 0 30 65 130 1
## 231 7 1953 144 283 1 25 66 140 0
## 232 8 1953 120 287 0 23 67 116 1
## 233 1 1954 122 270 0 26 61 105 0
## 234 2 1954 128 272 1 18 67 109 0
## 235 3 1954 117 272 0 32 66 118 0
## 236 4 1954 98 280 0 35 64 122 1
## 237 5 1954 98 276 1 22 61 121 0
## 238 6 1954 112 281 1 23 61 150 0
## 239 7 1954 116 273 0 33 66 130 1
## 240 8 1954 131 269 0 36 68 145 0
## 241 1 1955 93 278 0 34 61 146 0
## 242 2 1955 86 276 1 23 65 125 1
## 243 3 1955 138 284 0 30 66 133 1
## 245 5 1955 110 272 0 28 60 108 0
## 246 6 1955 68 223 0 32 66 149 1
## 247 7 1955 75 265 0 21 65 103 1
## 248 8 1955 136 283 1 24 63 119 0
## 249 1 1956 130 268 0 30 66 123 0
## 250 2 1956 123 282 0 30 63 118 0
## 251 3 1956 120 283 0 28 64 122 1
## 252 4 1956 121 276 1 23 71 152 1
## 253 5 1956 135 282 0 24 67 128 1
## 254 6 1956 102 283 1 19 65 127 1
## 255 7 1956 138 286 1 28 68 120 0
## 256 8 1956 125 290 0 32 63 135 0
## 257 1 1957 119 275 0 23 60 105 0
## 258 2 1957 87 275 0 28 63 110 1
## 259 3 1957 119 273 0 35 65 125 1
## 260 4 1957 132 285 1 25 63 140 0
## 261 5 1957 101 278 1 20 62 105 0
## 262 6 1957 109 273 0 37 65 138 1
## 263 7 1957 99 271 0 39 69 151 0
## 264 8 1957 96 285 1 20 66 117 1
## 265 1 1958 113 281 0 24 65 120 0
## 266 2 1958 128 291 1 27 63 132 0
## 267 3 1958 118 278 1 19 62 126 0
## 268 4 1958 91 264 0 36 60 100 1
## 269 5 1958 96 266 0 26 65 125 0
## 270 6 1958 102 267 1 25 60 93 1
## 271 7 1958 118 293 0 21 63 103 0
## 272 8 1958 102 282 1 29 65 125 1
## 273 1 1959 134 283 0 22 67 130 0
## 274 2 1959 120 288 0 28 63 125 0
## 276 4 1959 119 294 0 34 59 105 0
## 277 5 1959 104 276 1 18 60 109 1
## 278 6 1959 99 275 0 23 61 125 1
## 279 7 1959 97 266 0 24 62 109 0
## 280 8 1959 102 288 1 18 65 117 0
## 281 1 1960 107 279 0 24 63 115 0
## 284 4 1960 85 273 0 26 60 105 1
## 285 5 1960 100 249 0 24 67 100 0
## 286 6 1960 78 256 1 29 65 123 0
## 288 8 1960 112 277 1 22 67 120 0
## 289 1 1961 134 288 0 23 63 92 1
## 290 2 1961 118 265 0 27 61 123 0
## 291 3 1961 148 291 1 21 63 115 0
## 292 4 1961 106 271 1 26 61 110 1
## 293 5 1961 154 292 0 40 66 145 0
## 294 6 1961 128 284 1 19 66 111 1
## 295 7 1961 81 285 0 19 63 150 1
## 296 8 1961 135 272 0 30 65 130 0
## 297 1 1962 122 267 0 27 65 101 1
## 298 2 1962 116 284 1 24 66 117 0
## 299 3 1962 140 281 1 22 69 135 0
## 300 4 1962 132 284 0 29 64 122 0
## 301 5 1962 127 293 0 31 67 137 0
## 304 8 1962 91 266 0 23 60 120 1
## 305 1 1963 129 293 0 30 61 160 0
## 306 2 1963 131 262 0 22 67 135 0
## 307 3 1963 134 287 1 33 67 131 0
## 308 4 1963 80 266 1 25 62 125 0
## 309 5 1963 126 288 0 31 62 150 0
## 310 6 1963 136 295 0 23 64 147 0
## 311 7 1963 135 284 1 19 60 95 0
## 312 8 1963 129 276 0 31 63 125 0
## 313 1 1964 110 278 0 23 63 177 0
## 314 2 1964 151 286 1 22 66 130 0
## 315 3 1964 120 280 0 31 61 111 0
## 316 4 1964 109 286 0 24 64 125 1
## 317 5 1964 126 282 1 23 66 115 1
## 318 6 1964 101 278 0 27 61 99 1
## 319 7 1964 114 290 1 21 65 120 1
## 320 8 1964 155 290 0 26 66 129 1
## 321 1 1965 111 270 0 27 61 119 0
## 322 2 1965 88 273 0 20 66 110 1
## 323 3 1965 123 296 1 26 64 110 1
## 325 5 1965 127 279 0 26 67 155 1
## 326 6 1965 100 275 1 25 64 125 0
## 327 7 1965 124 288 1 21 64 116 1
## 328 8 1965 109 274 0 33 69 144 1
## 329 1 1966 87 248 0 37 65 130 1
## 330 2 1966 137 284 0 30 67 110 0
## 331 3 1966 102 275 0 43 64 160 0
## 332 4 1966 143 292 1 21 65 125 0
## 333 5 1966 98 275 0 25 65 112 1
## 334 6 1966 109 272 0 41 66 154 1
## 335 7 1966 115 262 1 23 64 136 1
## 336 8 1966 80 262 1 31 61 100 1
## 337 1 1967 143 274 0 27 63 110 1
## 338 2 1967 127 289 0 23 67 140 0
## 339 3 1967 55 204 0 35 65 140 0
## 340 4 1967 136 290 0 26 66 135 0
## 341 5 1967 127 288 1 21 66 130 0
## 342 6 1967 117 281 1 21 70 141 1
## 343 7 1967 143 281 0 28 65 135 1
## 344 8 1967 125 273 0 30 64 145 0
## 345 1 1968 155 294 0 32 66 150 0
## 346 2 1968 96 278 1 18 60 120 1
## 347 3 1968 103 276 1 19 63 149 1
## 348 4 1968 110 285 1 19 64 130 0
## 349 5 1968 129 299 0 22 68 145 0
## 350 6 1968 88 252 1 21 60 115 1
## 351 7 1968 113 287 1 29 70 145 1
## 352 8 1968 94 284 0 24 63 104 1
## 353 1 1969 110 272 0 25 60 90 0
## 354 2 1969 129 281 0 31 67 155 0
## 355 3 1969 123 283 0 21 65 110 0
## 356 4 1969 98 257 0 29 66 130 1
## 357 5 1969 131 292 1 22 64 124 1
## 358 6 1969 95 270 0 35 65 135 1
## 359 7 1969 109 244 1 21 63 102 1
## 360 8 1969 148 281 0 27 63 110 1
## 361 1 1970 122 275 0 26 66 147 0
## 362 2 1970 128 288 1 26 65 114 0
## 363 3 1970 105 270 1 27 65 134 1
## 365 5 1970 132 289 1 19 66 145 0
## 366 6 1970 127 291 1 24 66 135 1
## 367 7 1970 103 278 0 30 60 87 1
## 368 8 1970 73 277 0 29 65 145 0
## 369 1 1971 145 291 0 26 63 119 1
## 370 2 1971 85 255 0 24 68 159 0
## 371 3 1971 138 289 0 33 65 155 0
## 372 4 1971 101 295 0 18 62 145 1
## 373 5 1971 127 280 0 27 62 118 0
## 374 6 1971 107 293 0 20 65 155 1
## 375 7 1971 118 276 0 34 64 116 0
## 376 8 1971 123 267 1 19 66 132 1
## 377 1 1972 115 258 0 26 62 130 0
## 378 2 1972 111 281 1 27 64 112 0
## 379 3 1972 128 281 0 28 63 150 0
## 380 4 1972 71 281 0 32 60 117 1
## 382 6 1972 126 262 0 37 66 135 1
## 383 7 1972 127 290 0 27 65 121 0
## 384 8 1972 65 232 0 24 66 125 1
## 385 1 1973 108 283 0 31 65 148 1
## 386 2 1973 124 275 0 28 61 116 0
## 387 3 1973 139 285 0 30 65 129 1
## 388 4 1973 124 292 0 29 68 176 1
## 389 5 1973 115 290 0 30 64 140 1
## 390 6 1973 98 278 0 27 63 110 1
## 391 7 1973 132 270 0 27 65 126 0
## 392 8 1973 118 279 1 21 64 108 0
## 393 1 1974 102 282 0 28 61 110 0
## 394 2 1974 112 292 1 28 62 110 1
## 395 3 1974 104 288 1 27 61 122 1
## 396 4 1974 106 276 0 30 66 130 0
## 397 5 1974 145 290 1 24 67 125 0
## 398 6 1974 96 241 0 23 64 130 1
## 399 7 1974 113 275 1 27 60 100 0
## 400 8 1974 102 283 0 39 60 119 0
## 401 1 1975 143 286 0 31 64 126 0
## 402 2 1975 115 281 0 28 61 128 1
## 403 3 1975 159 296 1 27 64 112 0
## 404 4 1975 101 278 0 25 62 112 1
## 405 5 1975 102 249 1 23 67 134 1
## 406 6 1975 104 282 0 24 63 144 0
## 407 7 1975 128 265 0 24 67 120 0
## 408 8 1975 120 280 0 24 61 118 0
## 409 1 1976 146 267 0 30 67 132 0
## 410 2 1976 72 271 0 39 61 136 0
## 411 3 1976 118 276 0 29 62 130 1
## 412 4 1976 100 277 0 31 62 100 1
## 413 5 1976 136 299 0 29 64 115 0
## 414 6 1976 133 273 1 33 63 135 0
## 415 7 1976 130 291 0 30 65 150 1
## 416 8 1976 108 270 1 21 65 130 1
## 417 1 1977 124 275 0 22 60 130 0
## 418 2 1977 122 281 1 24 65 137 1
## 419 3 1977 99 285 0 25 69 128 1
## 420 4 1977 104 269 0 35 63 110 1
## 421 5 1977 121 282 0 22 66 133 0
## 422 6 1977 93 267 0 25 63 135 1
## 423 7 1977 125 281 1 21 65 110 0
## 424 8 1977 122 280 1 45 62 128 0
## 425 1 1978 124 278 0 26 70 145 1
## 426 2 1978 116 291 0 26 66 153 0
## 427 3 1978 144 281 0 20 63 120 0
## 428 4 1978 117 270 0 24 67 135 1
## 429 5 1978 120 286 0 25 62 105 0
## 430 6 1978 101 280 1 24 65 123 1
## 431 7 1978 117 297 0 38 65 129 0
## 432 8 1978 103 268 0 32 62 97 1
## 433 1 1979 145 257 0 33 65 140 0
## 434 2 1979 127 272 0 20 64 130 1
## 435 3 1979 121 270 0 25 62 108 1
## 436 4 1979 117 267 0 29 65 120 1
## 437 5 1979 118 261 0 26 60 104 0
## 438 6 1979 118 277 0 21 64 155 0
## 439 7 1979 141 277 0 38 66 162 0
## 441 1 1980 106 273 0 28 60 116 0
## 442 2 1980 90 266 0 23 61 99 1
## 443 3 1980 117 265 1 24 66 98 0
## 444 4 1980 149 279 0 25 67 135 0
## 446 6 1980 130 289 0 21 61 130 1
## 447 7 1980 130 270 1 19 66 130 0
## 448 8 1980 126 273 1 25 68 135 0
## 449 1 1981 75 232 0 33 61 110 0
## 450 2 1981 99 273 1 27 59 115 0
## 451 3 1981 119 293 1 23 65 127 0
## 452 4 1981 135 284 0 25 66 123 0
## 453 5 1981 132 281 1 24 63 117 0
## 454 6 1981 125 288 0 22 63 128 1
## 455 7 1981 139 299 1 20 67 112 0
## 457 1 1982 107 273 0 24 61 96 0
## 459 3 1982 105 281 1 19 61 130 0
## 460 4 1982 110 283 1 21 66 129 0
## 461 5 1982 102 258 1 22 65 135 0
## 462 6 1982 140 291 1 19 65 122 0
## 463 7 1982 130 283 0 32 65 118 0
## 464 8 1982 139 293 0 34 66 131 0
## 465 1 1983 124 288 0 22 67 118 0
## 466 2 1983 138 280 1 30 65 175 0
## 467 3 1983 125 283 0 37 63 145 1
## 468 4 1983 121 276 0 31 67 130 0
## 469 5 1983 143 279 0 39 65 129 1
## 470 6 1983 115 290 1 19 65 118 0
## 471 7 1983 113 289 1 26 59 91 0
## 472 8 1983 124 290 0 26 65 165 0
## 473 1 1984 122 280 0 23 65 125 1
## 474 2 1984 58 245 0 34 64 156 1
## 475 3 1984 119 259 0 37 62 130 0
## 476 4 1984 142 285 1 24 66 136 0
## 477 5 1984 118 277 0 25 62 120 0
## 478 6 1984 130 293 0 26 63 123 0
## 479 7 1984 77 238 1 23 63 103 1
## 480 8 1984 121 282 0 30 65 122 0
## 481 1 1985 101 245 0 23 63 130 1
## 482 2 1985 109 265 1 24 63 107 1
## 483 3 1985 101 273 0 39 60 113 0
## 484 4 1985 104 260 0 33 64 145 0
## 485 5 1985 102 286 1 22 64 140 0
## 486 6 1985 114 277 1 31 64 125 0
## 487 7 1985 62 228 0 24 61 107 0
## 488 8 1985 126 299 1 21 60 114 0
## 489 1 1986 128 283 0 28 63 125 1
## 490 2 1986 110 277 1 19 62 160 0
## 491 3 1986 105 277 1 25 64 156 0
## 492 4 1986 138 296 0 34 66 120 0
## 493 5 1986 163 280 0 35 69 139 0
## 494 6 1986 105 278 0 21 64 120 0
## 495 7 1986 93 245 0 33 61 100 1
## 496 8 1986 119 286 1 33 67 137 0
## 497 1 1987 104 282 0 36 65 115 1
## 498 2 1987 129 278 0 27 63 128 0
## 499 3 1987 110 281 0 27 60 110 0
## 500 4 1987 112 278 1 21 63 120 0
## 501 5 1987 132 294 0 32 64 116 0
## 502 6 1987 101 289 1 31 60 125 0
## 503 7 1987 109 275 1 37 63 112 1
## 504 8 1987 114 277 1 19 63 107 0
## 505 1 1988 97 246 0 37 63 150 0
## 506 2 1988 150 284 0 40 67 130 0
## 507 3 1988 100 270 1 21 65 132 1
## 508 4 1988 117 293 0 39 60 120 1
## 509 5 1988 116 276 0 33 61 180 0
## 510 6 1988 132 286 0 26 67 122 1
## 511 7 1988 145 283 0 27 65 125 1
## 512 8 1988 118 272 0 23 64 113 0
## 513 1 1989 137 274 0 26 69 137 1
## 514 2 1989 128 279 0 27 66 135 0
## 515 3 1989 98 284 0 29 68 140 0
## 516 4 1989 109 282 0 25 62 106 1
## 517 5 1989 138 288 1 19 66 124 0
## 518 6 1989 112 252 0 37 64 162 0
## 519 7 1989 92 224 0 19 63 134 1
## 520 8 1989 127 295 0 36 65 145 0
## 521 1 1990 103 273 0 31 63 170 1
## 522 2 1990 142 284 1 31 66 137 1
## 523 3 1990 127 276 0 37 64 159 0
## 524 4 1990 131 266 1 28 67 135 0
## 525 5 1990 139 279 0 20 64 143 0
## 526 6 1990 69 232 0 31 59 103 1
## 527 7 1990 120 281 0 26 61 115 0
## 528 8 1990 117 290 1 22 67 110 0
## 529 1 1991 142 276 0 38 63 170 0
## 530 2 1991 115 268 1 31 64 125 0
## 532 4 1991 120 273 0 29 64 130 1
## 533 5 1991 132 298 1 23 61 137 0
## 534 6 1991 114 264 0 26 63 110 1
## 535 7 1991 135 284 0 39 67 141 0
## 536 8 1991 137 277 0 41 65 126 0
## 537 1 1992 130 289 0 27 66 130 0
## 538 2 1992 108 283 0 35 62 108 0
## 539 3 1992 122 278 0 37 68 114 0
## 540 4 1992 116 270 0 29 63 132 0
## 541 5 1992 87 282 0 27 63 104 1
## 542 6 1992 123 267 0 29 63 111 1
## 543 7 1992 113 287 0 36 63 118 0
## 544 8 1992 133 292 0 29 65 135 0
## 545 1 1993 156 292 0 26 63 118 0
## 546 2 1993 139 281 0 27 63 137 0
## 547 3 1993 122 273 1 23 64 130 1
## 548 4 1993 140 290 0 23 65 110 0
## 549 5 1993 131 297 0 30 67 132 0
## 550 6 1993 129 284 1 20 66 130 1
## 551 7 1993 126 251 1 28 64 123 0
## 552 8 1993 100 264 0 28 60 111 1
## 553 1 1994 133 284 0 25 66 125 1
## 554 2 1994 115 275 0 25 61 155 1
## 555 3 1994 118 281 1 36 66 140 1
## 556 4 1994 103 273 1 22 64 110 1
## 557 5 1994 130 282 0 26 67 147 1
## 558 6 1994 114 283 1 15 64 117 1
## 559 7 1994 143 270 1 27 70 148 0
## 560 8 1994 107 273 1 26 65 135 0
## 561 1 1995 120 274 0 24 62 120 0
## 562 2 1995 136 288 0 23 62 217 0
## 564 4 1995 120 279 1 23 67 135 0
## 565 5 1995 123 290 0 28 66 107 1
## 566 6 1995 115 290 0 31 62 95 0
## 567 7 1995 128 282 1 25 64 125 0
## 568 8 1995 115 276 1 20 62 105 1
## 569 1 1996 91 270 0 24 60 149 1
## 570 2 1996 163 289 1 25 64 126 1
## 571 3 1996 120 275 0 32 63 115 1
## 572 4 1996 139 260 1 32 64 127 0
## 573 5 1996 115 276 1 18 63 110 0
## 574 6 1996 98 272 1 35 64 129 0
## 575 7 1996 98 262 0 22 67 120 0
## 576 8 1996 91 292 1 26 61 113 1
## 577 1 1997 127 274 0 21 62 110 0
## 578 2 1997 131 285 0 26 64 130 0
## 579 3 1997 143 285 0 27 68 185 0
## 580 4 1997 123 254 0 26 62 130 1
## 581 5 1997 116 272 0 27 64 130 1
## 582 6 1997 128 283 0 27 67 126 0
## 584 8 1997 112 287 0 27 64 110 1
## 585 1 1998 153 286 0 26 63 107 1
## 586 2 1998 77 238 0 38 67 135 1
## 587 3 1998 108 270 0 29 67 124 1
## 588 4 1998 104 280 1 23 64 107 1
## 589 5 1998 119 286 1 20 67 130 0
## 590 6 1998 119 271 0 28 64 175 1
## 591 7 1998 162 284 0 27 64 126 0
## 592 8 1998 125 289 1 31 61 120 0
## 593 1 1999 121 276 0 39 63 130 0
## 594 2 1999 124 283 1 33 67 156 1
## 595 3 1999 131 284 1 19 61 114 1
## 596 4 1999 111 270 0 22 59 103 0
## 597 5 1999 125 279 1 19 67 135 0
## 598 6 1999 154 288 0 25 65 147 0
## 599 7 1999 116 292 1 20 65 118 0
## 600 8 1999 157 291 0 33 65 121 0
## 601 1 2000 120 277 0 27 63 126 0
## 602 2 2000 104 270 1 26 62 115 0
## 603 3 2000 110 277 0 36 61 116 0
## 604 4 2000 122 277 0 32 63 157 1
## 605 5 2000 144 282 0 33 66 155 1
## 606 6 2000 127 247 1 21 63 140 0
## 607 7 2000 128 284 0 23 62 110 0
## 608 8 2000 108 256 1 26 67 130 0
## 609 1 2001 99 272 0 27 62 103 1
## 610 2 2001 102 267 1 24 61 109 1
## 611 3 2001 105 276 0 20 62 112 1
## 612 4 2001 116 271 1 30 67 144 1
## 613 5 2001 123 269 0 26 67 132 0
## 614 6 2001 131 263 0 29 64 180 1
## 615 7 2001 111 275 1 18 61 108 1
## 616 8 2001 130 279 0 31 62 122 0
## 617 1 2002 149 293 0 35 65 116 0
## 618 2 2002 94 268 0 30 62 105 1
## 619 3 2002 125 255 0 23 63 133 0
## 620 4 2002 129 277 0 27 68 130 1
## 621 5 2002 120 276 0 23 66 114 0
## 622 6 2002 129 288 0 28 59 102 0
## 623 7 2002 137 280 0 34 60 107 0
## 624 8 2002 135 289 0 25 64 127 0
## 625 1 2003 129 280 0 23 64 104 0
## 626 2 2003 158 295 1 37 70 137 0
## 627 3 2003 78 258 1 24 66 115 1
## 628 4 2003 133 292 0 30 65 112 1
## 629 5 2003 140 251 0 28 63 210 0
## 630 6 2003 114 286 1 22 64 116 1
## 631 7 2003 100 264 0 29 64 120 1
## 632 8 2003 123 277 0 24 66 122 0
## 633 1 2004 139 292 0 25 68 135 0
## 634 2 2004 112 275 1 21 68 143 1
## 635 3 2004 114 289 0 36 60 115 0
## 636 4 2004 110 277 0 25 61 130 0
## 637 5 2004 120 271 1 17 64 142 1
## 638 6 2004 110 280 0 29 62 110 1
## 639 7 2004 160 271 0 32 67 215 0
## 640 8 2004 100 281 0 24 61 115 0
# Lấy dữ liệu từ quan sát B có giá trị bằng 120 hoặc 134 và lấy tất cả các biến của bộ dữ liệu
dat7 <- nv2.1[nv2.1$B == 120 | nv2.1$B == 120,]
dat7
## I y B G P A H W S
## 1 1 1925 120 284 0 27 62 100 0
## 6 6 1925 120 289 1 31 59 102 0
## 57 1 1932 120 289 0 25 62 125 0
## 61 5 1932 120 281 0 33 63 113 0
## 109 5 1938 120 286 0 22 62 115 1
## 143 7 1942 120 300 0 34 63 150 1
## 150 6 1943 120 269 1 40 63 130 0
## 232 8 1953 120 287 0 23 67 116 1
## 251 3 1956 120 283 0 28 64 122 1
## 274 2 1959 120 288 0 28 63 125 0
## 315 3 1964 120 280 0 31 61 111 0
## 408 8 1975 120 280 0 24 61 118 0
## 429 5 1978 120 286 0 25 62 105 0
## 527 7 1990 120 281 0 26 61 115 0
## 532 4 1991 120 273 0 29 64 130 1
## 561 1 1995 120 274 0 24 62 120 0
## 564 4 1995 120 279 1 23 67 135 0
## 571 3 1996 120 275 0 32 63 115 1
## 601 1 2000 120 277 0 27 63 126 0
## 621 5 2002 120 276 0 23 66 114 0
## 637 5 2004 120 271 1 17 64 142 1
# Gán bộ dữ liệu nv2.1 cho d
d <- nv2.1
d
## I y B G P A H W S
## 1 1 1925 120 284 0 27 62 100 0
## 2 2 1925 112 267 1 22 62 138 0
## 3 3 1925 119 286 0 26 64 123 1
## 4 4 1925 124 287 0 27 62 105 1
## 5 5 1925 105 276 0 22 67 130 0
## 6 6 1925 120 289 1 31 59 102 0
## 7 7 1925 82 274 0 31 64 101 1
## 8 8 1925 111 278 0 29 65 145 1
## 9 1 1926 113 282 0 33 64 135 0
## 10 2 1926 134 297 0 27 67 170 1
## 11 3 1926 97 279 0 29 68 178 1
## 12 4 1926 125 292 0 22 65 122 0
## 13 5 1926 93 246 0 37 65 130 0
## 14 6 1926 146 280 0 23 61 145 0
## 15 7 1926 100 274 0 24 63 113 0
## 16 8 1926 103 250 0 40 59 140 0
## 17 1 1927 128 279 0 28 64 115 1
## 18 2 1927 145 308 0 35 64 110 1
## 19 3 1927 99 252 0 21 64 120 0
## 20 4 1927 110 262 0 25 66 140 0
## 21 5 1927 122 281 0 42 63 103 1
## 22 6 1927 112 283 1 21 62 102 1
## 23 7 1927 114 271 0 32 61 130 0
## 24 8 1927 114 276 0 26 62 127 0
## 25 1 1928 108 282 0 23 67 125 1
## 26 2 1928 116 295 0 32 65 120 0
## 27 3 1928 115 264 1 23 67 134 1
## 28 4 1928 125 279 0 23 63 104 1
## 29 5 1928 133 293 0 23 64 110 1
## 30 6 1928 132 278 0 20 64 150 1
## 31 7 1928 97 269 0 20 65 137 1
## 32 8 1928 75 247 0 36 64 120 1
## 33 1 1929 136 286 0 25 62 93 0
## 34 2 1929 126 278 0 26 64 150 1
## 35 3 1929 139 284 0 37 61 121 0
## 36 4 1929 138 294 0 40 64 125 0
## 37 5 1929 130 296 1 22 66 117 1
## 38 6 1929 146 263 0 39 53 110 1
## 39 7 1929 126 298 0 24 61 112 0
## 40 8 1929 169 296 0 33 67 185 0
## 41 1 1930 138 244 0 33 62 178 0
## 42 2 1930 111 285 0 29 65 130 0
## 43 3 1930 144 304 1 27 58 102 1
## 44 4 1930 142 284 0 39 66 132 0
## 45 5 1930 104 307 0 24 59 122 0
## 46 6 1930 122 275 0 30 68 140 0
## 47 7 1930 122 275 1 20 65 127 0
## 48 8 1930 94 271 0 36 61 130 1
## 49 1 1931 132 245 0 23 65 140 0
## 50 2 1931 126 282 0 33 62 117 0
## 51 3 1931 99 270 0 22 63 115 1
## 52 4 1931 115 278 0 23 60 102 1
## 53 5 1931 106 278 0 31 65 110 1
## 54 6 1931 128 292 0 32 66 130 0
## 55 7 1931 152 295 0 39 62 140 0
## 56 8 1931 150 287 0 36 62 135 0
## 57 1 1932 120 289 0 25 62 125 0
## 58 2 1932 109 291 0 39 64 107 0
## 59 3 1932 105 280 1 22 63 116 0
## 60 4 1932 102 280 0 38 67 140 0
## 61 5 1932 120 281 0 33 63 113 0
## 62 6 1932 119 277 0 24 63 120 1
## 63 7 1932 116 274 0 21 62 110 1
## 64 8 1932 144 248 0 30 70 145 0
## 65 1 1933 143 299 0 30 66 136 1
## 66 2 1933 136 291 0 41 66 191 0
## 67 3 1933 89 275 0 34 66 170 0
## 68 4 1933 140 294 0 25 61 103 0
## 69 5 1933 118 276 1 18 63 128 0
## 70 6 1933 135 278 0 27 66 148 0
## 71 7 1933 132 302 0 36 63 145 1
## 72 8 1933 144 291 0 28 67 130 0
## 73 1 1934 140 351 0 27 68 120 0
## 74 2 1934 119 286 0 22 63 185 1
## 75 3 1934 129 270 0 43 67 160 0
## 76 4 1934 133 276 1 22 63 119 0
## 77 5 1934 140 290 1 19 67 132 1
## 78 6 1934 129 235 0 24 66 135 0
## 79 7 1934 84 260 1 37 66 140 0
## 80 8 1934 143 313 0 20 68 150 0
## 81 1 1935 144 282 0 32 64 124 1
## 82 2 1935 103 267 1 21 66 150 1
## 83 3 1935 119 270 1 20 64 109 0
## 84 4 1935 127 290 0 35 66 165 0
## 85 5 1935 114 268 0 22 64 104 0
## 86 6 1935 116 293 1 28 62 108 0
## 87 7 1935 119 277 1 18 61 89 1
## 88 8 1935 145 304 1 25 63 109 1
## 89 1 1936 141 279 0 23 63 128 1
## 90 2 1936 124 284 1 17 62 112 0
## 91 3 1936 114 291 0 35 60 112 0
## 92 4 1936 104 274 1 20 62 115 1
## 93 5 1936 116 280 0 40 62 159 0
## 94 6 1936 100 275 0 27 64 111 1
## 95 7 1936 106 312 0 24 62 135 1
## 96 8 1936 121 285 0 34 64 110 0
## 97 1 1937 110 281 0 36 61 99 1
## 98 2 1937 155 286 0 31 66 127 0
## 99 3 1937 106 289 0 28 67 120 1
## 100 4 1937 119 275 0 42 67 156 1
## 101 5 1937 129 284 0 24 64 115 0
## 102 6 1937 138 257 0 38 67 138 0
## 103 7 1937 139 291 0 24 65 160 0
## 104 8 1937 105 256 0 31 66 142 0
## 105 1 1938 114 273 0 30 63 154 0
## 106 2 1938 122 282 1 21 66 110 0
## 107 3 1938 122 292 1 34 65 133 0
## 108 4 1938 152 301 0 29 65 150 0
## 109 5 1938 120 286 0 22 62 115 1
## 110 6 1938 123 282 0 22 65 130 0
## 111 7 1938 103 273 0 36 65 158 1
## 112 8 1938 134 286 0 25 64 125 0
## 113 1 1939 115 285 0 38 63 130 0
## 114 2 1939 113 285 0 26 66 140 0
## 115 3 1939 136 261 0 24 65 110 0
## 116 4 1939 123 284 1 20 65 120 1
## 117 5 1939 127 281 0 24 63 112 1
## 118 6 1939 113 288 1 21 61 120 0
## 119 7 1939 112 299 0 24 67 145 1
## 120 8 1939 129 294 1 21 65 132 0
## 121 1 1940 92 255 0 25 65 125 1
## 122 2 1940 122 273 0 26 66 210 0
## 123 3 1940 121 286 1 22 69 130 1
## 124 4 1940 143 273 0 19 66 135 0
## 125 5 1940 71 234 0 32 64 110 1
## 126 6 1940 129 280 1 24 65 140 1
## 127 7 1940 96 276 0 33 64 127 1
## 128 8 1940 114 276 0 24 63 110 0
## 129 1 1941 115 261 0 33 60 125 1
## 130 2 1941 126 293 1 27 62 111 0
## 131 3 1941 112 282 0 26 65 122 0
## 132 4 1941 131 308 0 40 65 160 0
## 133 5 1941 88 274 0 30 66 130 0
## 134 6 1941 122 280 0 24 67 127 1
## 135 7 1941 102 281 1 19 67 135 1
## 136 8 1941 97 265 0 30 61 110 0
## 137 1 1942 144 261 0 33 68 170 0
## 138 2 1942 116 277 0 41 64 124 1
## 139 3 1942 112 266 0 26 64 122 0
## 140 4 1942 141 319 1 20 67 140 1
## 141 5 1942 122 286 0 23 64 145 0
## 142 6 1942 132 281 1 21 67 140 0
## 143 7 1942 120 300 0 34 63 150 1
## 144 8 1942 160 292 0 28 64 120 0
## 145 1 1943 119 288 0 43 66 142 1
## 146 2 1943 102 294 0 21 65 130 1
## 147 3 1943 123 314 0 22 61 121 1
## 148 4 1943 129 277 0 30 66 142 1
## 149 5 1943 106 302 1 19 66 147 0
## 150 6 1943 120 269 1 40 63 130 0
## 151 7 1943 102 338 0 19 64 170 0
## 152 8 1943 65 237 0 31 67 130 0
## 153 1 1944 105 270 0 22 56 93 0
## 154 2 1944 110 181 0 27 64 133 0
## 155 3 1944 139 286 0 33 65 125 1
## 156 4 1944 113 282 1 36 59 140 0
## 157 5 1944 135 285 0 30 66 130 0
## 158 6 1944 114 283 1 20 65 115 0
## 159 7 1944 97 255 1 22 63 107 1
## 160 8 1944 145 288 0 28 64 116 0
## 161 1 1945 115 274 0 27 67 175 1
## 162 2 1945 133 285 1 30 64 160 0
## 163 3 1945 125 290 0 36 59 105 0
## 164 4 1945 119 292 0 33 62 118 1
## 165 5 1945 107 290 0 26 63 112 0
## 166 6 1945 130 280 0 29 66 135 0
## 167 7 1945 113 285 0 22 70 145 0
## 168 8 1945 95 273 0 23 60 90 0
## 169 1 1946 137 287 0 25 66 145 0
## 170 2 1946 125 283 0 29 65 125 0
## 171 3 1946 105 295 1 20 64 112 1
## 172 4 1946 109 295 1 23 63 103 1
## 173 5 1946 129 294 0 32 62 170 1
## 174 6 1946 117 286 0 32 66 127 1
## 175 7 1946 130 297 0 32 58 130 0
## 176 8 1946 139 293 1 21 69 130 0
## 177 1 1947 122 276 0 30 68 182 0
## 178 2 1947 164 286 1 32 66 143 0
## 179 3 1947 130 276 0 41 68 130 0
## 180 4 1947 104 280 1 27 68 146 1
## 181 5 1947 126 274 0 39 62 122 0
## 182 6 1947 142 285 0 33 63 124 0
## 183 7 1947 97 260 1 25 63 115 1
## 184 8 1947 123 288 0 27 63 125 0
## 185 1 1948 131 294 0 23 65 122 0
## 186 2 1948 133 297 0 36 61 125 0
## 187 3 1948 146 294 0 22 66 145 1
## 188 4 1948 131 282 1 21 66 126 0
## 189 5 1948 116 293 1 26 64 125 0
## 190 6 1948 144 273 0 27 62 118 1
## 191 7 1948 116 273 0 31 61 120 0
## 192 8 1948 109 283 0 23 65 112 1
## 193 1 1949 103 261 0 27 65 112 1
## 194 2 1949 124 293 1 19 65 150 0
## 195 3 1949 133 290 0 21 64 145 0
## 196 4 1949 110 293 1 28 64 135 1
## 197 5 1949 124 294 0 26 62 122 0
## 198 6 1949 127 262 1 32 64 125 0
## 199 7 1949 114 266 0 29 64 113 0
## 200 8 1949 110 268 0 34 64 127 0
## 201 1 1950 146 280 0 26 58 106 0
## 202 2 1950 122 306 1 22 62 100 0
## 203 3 1950 147 296 1 19 67 124 0
## 204 4 1950 148 279 0 27 71 189 0
## 205 5 1950 123 281 0 23 68 136 0
## 206 6 1950 115 270 0 25 67 165 1
## 207 7 1950 127 242 0 17 61 135 1
## 208 8 1950 122 296 1 24 65 132 0
## 209 1 1951 114 266 0 20 65 175 1
## 210 2 1951 121 271 1 34 63 129 1
## 211 3 1951 109 269 0 23 63 113 0
## 212 4 1951 137 283 1 20 65 157 0
## 213 5 1951 145 315 0 39 67 143 1
## 214 6 1951 85 258 0 41 67 137 0
## 215 7 1951 87 247 1 18 66 125 1
## 216 8 1951 115 307 0 34 65 128 1
## 217 1 1952 125 292 0 32 65 125 0
## 218 2 1952 100 272 0 30 64 150 1
## 219 3 1952 122 286 0 23 64 120 1
## 220 4 1952 117 283 0 27 63 108 0
## 221 5 1952 102 278 0 27 67 135 1
## 222 6 1952 99 274 0 28 66 118 1
## 223 7 1952 141 281 0 29 54 156 1
## 224 8 1952 108 279 1 19 64 115 0
## 225 1 1953 114 274 0 28 66 132 1
## 226 2 1953 90 266 1 26 67 135 0
## 227 3 1953 135 260 0 43 65 135 0
## 228 4 1953 115 302 1 22 67 135 0
## 229 5 1953 129 293 0 30 65 130 1
## 230 6 1953 123 323 1 17 64 140 0
## 231 7 1953 144 283 1 25 66 140 0
## 232 8 1953 120 287 0 23 67 116 1
## 233 1 1954 122 270 0 26 61 105 0
## 234 2 1954 128 272 1 18 67 109 0
## 235 3 1954 117 272 0 32 66 118 0
## 236 4 1954 98 280 0 35 64 122 1
## 237 5 1954 98 276 1 22 61 121 0
## 238 6 1954 112 281 1 23 61 150 0
## 239 7 1954 116 273 0 33 66 130 1
## 240 8 1954 131 269 0 36 68 145 0
## 241 1 1955 93 278 0 34 61 146 0
## 242 2 1955 86 276 1 23 65 125 1
## 243 3 1955 138 284 0 30 66 133 1
## 244 4 1955 136 303 1 20 68 148 1
## 245 5 1955 110 272 0 28 60 108 0
## 246 6 1955 68 223 0 32 66 149 1
## 247 7 1955 75 265 0 21 65 103 1
## 248 8 1955 136 283 1 24 63 119 0
## 249 1 1956 130 268 0 30 66 123 0
## 250 2 1956 123 282 0 30 63 118 0
## 251 3 1956 120 283 0 28 64 122 1
## 252 4 1956 121 276 1 23 71 152 1
## 253 5 1956 135 282 0 24 67 128 1
## 254 6 1956 102 283 1 19 65 127 1
## 255 7 1956 138 286 1 28 68 120 0
## 256 8 1956 125 290 0 32 63 135 0
## 257 1 1957 119 275 0 23 60 105 0
## 258 2 1957 87 275 0 28 63 110 1
## 259 3 1957 119 273 0 35 65 125 1
## 260 4 1957 132 285 1 25 63 140 0
## 261 5 1957 101 278 1 20 62 105 0
## 262 6 1957 109 273 0 37 65 138 1
## 263 7 1957 99 271 0 39 69 151 0
## 264 8 1957 96 285 1 20 66 117 1
## 265 1 1958 113 281 0 24 65 120 0
## 266 2 1958 128 291 1 27 63 132 0
## 267 3 1958 118 278 1 19 62 126 0
## 268 4 1958 91 264 0 36 60 100 1
## 269 5 1958 96 266 0 26 65 125 0
## 270 6 1958 102 267 1 25 60 93 1
## 271 7 1958 118 293 0 21 63 103 0
## 272 8 1958 102 282 1 29 65 125 1
## 273 1 1959 134 283 0 22 67 130 0
## 274 2 1959 120 288 0 28 63 125 0
## 275 3 1959 105 330 0 23 64 112 1
## 276 4 1959 119 294 0 34 59 105 0
## 277 5 1959 104 276 1 18 60 109 1
## 278 6 1959 99 275 0 23 61 125 1
## 279 7 1959 97 266 0 24 62 109 0
## 280 8 1959 102 288 1 18 65 117 0
## 281 1 1960 107 279 0 24 63 115 0
## 282 2 1960 125 301 1 35 68 181 0
## 283 3 1960 113 306 1 21 65 137 0
## 284 4 1960 85 273 0 26 60 105 1
## 285 5 1960 100 249 0 24 67 100 0
## 286 6 1960 78 256 1 29 65 123 0
## 287 7 1960 146 319 0 28 66 145 0
## 288 8 1960 112 277 1 22 67 120 0
## 289 1 1961 134 288 0 23 63 92 1
## 290 2 1961 118 265 0 27 61 123 0
## 291 3 1961 148 291 1 21 63 115 0
## 292 4 1961 106 271 1 26 61 110 1
## 293 5 1961 154 292 0 40 66 145 0
## 294 6 1961 128 284 1 19 66 111 1
## 295 7 1961 81 285 0 19 63 150 1
## 296 8 1961 135 272 0 30 65 130 0
## 297 1 1962 122 267 0 27 65 101 1
## 298 2 1962 116 284 1 24 66 117 0
## 299 3 1962 140 281 1 22 69 135 0
## 300 4 1962 132 284 0 29 64 122 0
## 301 5 1962 127 293 0 31 67 137 0
## 302 6 1962 107 303 1 25 67 133 0
## 303 7 1962 110 321 0 28 66 180 0
## 304 8 1962 91 266 0 23 60 120 1
## 305 1 1963 129 293 0 30 61 160 0
## 306 2 1963 131 262 0 22 67 135 0
## 307 3 1963 134 287 1 33 67 131 0
## 308 4 1963 80 266 1 25 62 125 0
## 309 5 1963 126 288 0 31 62 150 0
## 310 6 1963 136 295 0 23 64 147 0
## 311 7 1963 135 284 1 19 60 95 0
## 312 8 1963 129 276 0 31 63 125 0
## 313 1 1964 110 278 0 23 63 177 0
## 314 2 1964 151 286 1 22 66 130 0
## 315 3 1964 120 280 0 31 61 111 0
## 316 4 1964 109 286 0 24 64 125 1
## 317 5 1964 126 282 1 23 66 115 1
## 318 6 1964 101 278 0 27 61 99 1
## 319 7 1964 114 290 1 21 65 120 1
## 320 8 1964 155 290 0 26 66 129 1
## 321 1 1965 111 270 0 27 61 119 0
## 322 2 1965 88 273 0 20 66 110 1
## 323 3 1965 123 296 1 26 64 110 1
## 324 4 1965 111 306 0 27 61 102 0
## 325 5 1965 127 279 0 26 67 155 1
## 326 6 1965 100 275 1 25 64 125 0
## 327 7 1965 124 288 1 21 64 116 1
## 328 8 1965 109 274 0 33 69 144 1
## 329 1 1966 87 248 0 37 65 130 1
## 330 2 1966 137 284 0 30 67 110 0
## 331 3 1966 102 275 0 43 64 160 0
## 332 4 1966 143 292 1 21 65 125 0
## 333 5 1966 98 275 0 25 65 112 1
## 334 6 1966 109 272 0 41 66 154 1
## 335 7 1966 115 262 1 23 64 136 1
## 336 8 1966 80 262 1 31 61 100 1
## 337 1 1967 143 274 0 27 63 110 1
## 338 2 1967 127 289 0 23 67 140 0
## 339 3 1967 55 204 0 35 65 140 0
## 340 4 1967 136 290 0 26 66 135 0
## 341 5 1967 127 288 1 21 66 130 0
## 342 6 1967 117 281 1 21 70 141 1
## 343 7 1967 143 281 0 28 65 135 1
## 344 8 1967 125 273 0 30 64 145 0
## 345 1 1968 155 294 0 32 66 150 0
## 346 2 1968 96 278 1 18 60 120 1
## 347 3 1968 103 276 1 19 63 149 1
## 348 4 1968 110 285 1 19 64 130 0
## 349 5 1968 129 299 0 22 68 145 0
## 350 6 1968 88 252 1 21 60 115 1
## 351 7 1968 113 287 1 29 70 145 1
## 352 8 1968 94 284 0 24 63 104 1
## 353 1 1969 110 272 0 25 60 90 0
## 354 2 1969 129 281 0 31 67 155 0
## 355 3 1969 123 283 0 21 65 110 0
## 356 4 1969 98 257 0 29 66 130 1
## 357 5 1969 131 292 1 22 64 124 1
## 358 6 1969 95 270 0 35 65 135 1
## 359 7 1969 109 244 1 21 63 102 1
## 360 8 1969 148 281 0 27 63 110 1
## 361 1 1970 122 275 0 26 66 147 0
## 362 2 1970 128 288 1 26 65 114 0
## 363 3 1970 105 270 1 27 65 134 1
## 364 4 1970 108 305 1 24 65 112 0
## 365 5 1970 132 289 1 19 66 145 0
## 366 6 1970 127 291 1 24 66 135 1
## 367 7 1970 103 278 0 30 60 87 1
## 368 8 1970 73 277 0 29 65 145 0
## 369 1 1971 145 291 0 26 63 119 1
## 370 2 1971 85 255 0 24 68 159 0
## 371 3 1971 138 289 0 33 65 155 0
## 372 4 1971 101 295 0 18 62 145 1
## 373 5 1971 127 280 0 27 62 118 0
## 374 6 1971 107 293 0 20 65 155 1
## 375 7 1971 118 276 0 34 64 116 0
## 376 8 1971 123 267 1 19 66 132 1
## 377 1 1972 115 258 0 26 62 130 0
## 378 2 1972 111 281 1 27 64 112 0
## 379 3 1972 128 281 0 28 63 150 0
## 380 4 1972 71 281 0 32 60 117 1
## 381 5 1972 99 313 1 34 59 100 1
## 382 6 1972 126 262 0 37 66 135 1
## 383 7 1972 127 290 0 27 65 121 0
## 384 8 1972 65 232 0 24 66 125 1
## 385 1 1973 108 283 0 31 65 148 1
## 386 2 1973 124 275 0 28 61 116 0
## 387 3 1973 139 285 0 30 65 129 1
## 388 4 1973 124 292 0 29 68 176 1
## 389 5 1973 115 290 0 30 64 140 1
## 390 6 1973 98 278 0 27 63 110 1
## 391 7 1973 132 270 0 27 65 126 0
## 392 8 1973 118 279 1 21 64 108 0
## 393 1 1974 102 282 0 28 61 110 0
## 394 2 1974 112 292 1 28 62 110 1
## 395 3 1974 104 288 1 27 61 122 1
## 396 4 1974 106 276 0 30 66 130 0
## 397 5 1974 145 290 1 24 67 125 0
## 398 6 1974 96 241 0 23 64 130 1
## 399 7 1974 113 275 1 27 60 100 0
## 400 8 1974 102 283 0 39 60 119 0
## 401 1 1975 143 286 0 31 64 126 0
## 402 2 1975 115 281 0 28 61 128 1
## 403 3 1975 159 296 1 27 64 112 0
## 404 4 1975 101 278 0 25 62 112 1
## 405 5 1975 102 249 1 23 67 134 1
## 406 6 1975 104 282 0 24 63 144 0
## 407 7 1975 128 265 0 24 67 120 0
## 408 8 1975 120 280 0 24 61 118 0
## 409 1 1976 146 267 0 30 67 132 0
## 410 2 1976 72 271 0 39 61 136 0
## 411 3 1976 118 276 0 29 62 130 1
## 412 4 1976 100 277 0 31 62 100 1
## 413 5 1976 136 299 0 29 64 115 0
## 414 6 1976 133 273 1 33 63 135 0
## 415 7 1976 130 291 0 30 65 150 1
## 416 8 1976 108 270 1 21 65 130 1
## 417 1 1977 124 275 0 22 60 130 0
## 418 2 1977 122 281 1 24 65 137 1
## 419 3 1977 99 285 0 25 69 128 1
## 420 4 1977 104 269 0 35 63 110 1
## 421 5 1977 121 282 0 22 66 133 0
## 422 6 1977 93 267 0 25 63 135 1
## 423 7 1977 125 281 1 21 65 110 0
## 424 8 1977 122 280 1 45 62 128 0
## 425 1 1978 124 278 0 26 70 145 1
## 426 2 1978 116 291 0 26 66 153 0
## 427 3 1978 144 281 0 20 63 120 0
## 428 4 1978 117 270 0 24 67 135 1
## 429 5 1978 120 286 0 25 62 105 0
## 430 6 1978 101 280 1 24 65 123 1
## 431 7 1978 117 297 0 38 65 129 0
## 432 8 1978 103 268 0 32 62 97 1
## 433 1 1979 145 257 0 33 65 140 0
## 434 2 1979 127 272 0 20 64 130 1
## 435 3 1979 121 270 0 25 62 108 1
## 436 4 1979 117 267 0 29 65 120 1
## 437 5 1979 118 261 0 26 60 104 0
## 438 6 1979 118 277 0 21 64 155 0
## 439 7 1979 141 277 0 38 66 162 0
## 440 8 1979 105 312 0 41 61 115 1
## 441 1 1980 106 273 0 28 60 116 0
## 442 2 1980 90 266 0 23 61 99 1
## 443 3 1980 117 265 1 24 66 98 0
## 444 4 1980 149 279 0 25 67 135 0
## 445 5 1980 127 304 1 26 62 105 0
## 446 6 1980 130 289 0 21 61 130 1
## 447 7 1980 130 270 1 19 66 130 0
## 448 8 1980 126 273 1 25 68 135 0
## 449 1 1981 75 232 0 33 61 110 0
## 450 2 1981 99 273 1 27 59 115 0
## 451 3 1981 119 293 1 23 65 127 0
## 452 4 1981 135 284 0 25 66 123 0
## 453 5 1981 132 281 1 24 63 117 0
## 454 6 1981 125 288 0 22 63 128 1
## 455 7 1981 139 299 1 20 67 112 0
## 456 8 1981 145 316 0 22 67 142 0
## 457 1 1982 107 273 0 24 61 96 0
## 458 2 1982 144 307 1 26 66 125 0
## 459 3 1982 105 281 1 19 61 130 0
## 460 4 1982 110 283 1 21 66 129 0
## 461 5 1982 102 258 1 22 65 135 0
## 462 6 1982 140 291 1 19 65 122 0
## 463 7 1982 130 283 0 32 65 118 0
## 464 8 1982 139 293 0 34 66 131 0
## 465 1 1983 124 288 0 22 67 118 0
## 466 2 1983 138 280 1 30 65 175 0
## 467 3 1983 125 283 0 37 63 145 1
## 468 4 1983 121 276 0 31 67 130 0
## 469 5 1983 143 279 0 39 65 129 1
## 470 6 1983 115 290 1 19 65 118 0
## 471 7 1983 113 289 1 26 59 91 0
## 472 8 1983 124 290 0 26 65 165 0
## 473 1 1984 122 280 0 23 65 125 1
## 474 2 1984 58 245 0 34 64 156 1
## 475 3 1984 119 259 0 37 62 130 0
## 476 4 1984 142 285 1 24 66 136 0
## 477 5 1984 118 277 0 25 62 120 0
## 478 6 1984 130 293 0 26 63 123 0
## 479 7 1984 77 238 1 23 63 103 1
## 480 8 1984 121 282 0 30 65 122 0
## 481 1 1985 101 245 0 23 63 130 1
## 482 2 1985 109 265 1 24 63 107 1
## 483 3 1985 101 273 0 39 60 113 0
## 484 4 1985 104 260 0 33 64 145 0
## 485 5 1985 102 286 1 22 64 140 0
## 486 6 1985 114 277 1 31 64 125 0
## 487 7 1985 62 228 0 24 61 107 0
## 488 8 1985 126 299 1 21 60 114 0
## 489 1 1986 128 283 0 28 63 125 1
## 490 2 1986 110 277 1 19 62 160 0
## 491 3 1986 105 277 1 25 64 156 0
## 492 4 1986 138 296 0 34 66 120 0
## 493 5 1986 163 280 0 35 69 139 0
## 494 6 1986 105 278 0 21 64 120 0
## 495 7 1986 93 245 0 33 61 100 1
## 496 8 1986 119 286 1 33 67 137 0
## 497 1 1987 104 282 0 36 65 115 1
## 498 2 1987 129 278 0 27 63 128 0
## 499 3 1987 110 281 0 27 60 110 0
## 500 4 1987 112 278 1 21 63 120 0
## 501 5 1987 132 294 0 32 64 116 0
## 502 6 1987 101 289 1 31 60 125 0
## 503 7 1987 109 275 1 37 63 112 1
## 504 8 1987 114 277 1 19 63 107 0
## 505 1 1988 97 246 0 37 63 150 0
## 506 2 1988 150 284 0 40 67 130 0
## 507 3 1988 100 270 1 21 65 132 1
## 508 4 1988 117 293 0 39 60 120 1
## 509 5 1988 116 276 0 33 61 180 0
## 510 6 1988 132 286 0 26 67 122 1
## 511 7 1988 145 283 0 27 65 125 1
## 512 8 1988 118 272 0 23 64 113 0
## 513 1 1989 137 274 0 26 69 137 1
## 514 2 1989 128 279 0 27 66 135 0
## 515 3 1989 98 284 0 29 68 140 0
## 516 4 1989 109 282 0 25 62 106 1
## 517 5 1989 138 288 1 19 66 124 0
## 518 6 1989 112 252 0 37 64 162 0
## 519 7 1989 92 224 0 19 63 134 1
## 520 8 1989 127 295 0 36 65 145 0
## 521 1 1990 103 273 0 31 63 170 1
## 522 2 1990 142 284 1 31 66 137 1
## 523 3 1990 127 276 0 37 64 159 0
## 524 4 1990 131 266 1 28 67 135 0
## 525 5 1990 139 279 0 20 64 143 0
## 526 6 1990 69 232 0 31 59 103 1
## 527 7 1990 120 281 0 26 61 115 0
## 528 8 1990 117 290 1 22 67 110 0
## 529 1 1991 142 276 0 38 63 170 0
## 530 2 1991 115 268 1 31 64 125 0
## 531 3 1991 117 324 0 22 62 164 1
## 532 4 1991 120 273 0 29 64 130 1
## 533 5 1991 132 298 1 23 61 137 0
## 534 6 1991 114 264 0 26 63 110 1
## 535 7 1991 135 284 0 39 67 141 0
## 536 8 1991 137 277 0 41 65 126 0
## 537 1 1992 130 289 0 27 66 130 0
## 538 2 1992 108 283 0 35 62 108 0
## 539 3 1992 122 278 0 37 68 114 0
## 540 4 1992 116 270 0 29 63 132 0
## 541 5 1992 87 282 0 27 63 104 1
## 542 6 1992 123 267 0 29 63 111 1
## 543 7 1992 113 287 0 36 63 118 0
## 544 8 1992 133 292 0 29 65 135 0
## 545 1 1993 156 292 0 26 63 118 0
## 546 2 1993 139 281 0 27 63 137 0
## 547 3 1993 122 273 1 23 64 130 1
## 548 4 1993 140 290 0 23 65 110 0
## 549 5 1993 131 297 0 30 67 132 0
## 550 6 1993 129 284 1 20 66 130 1
## 551 7 1993 126 251 1 28 64 123 0
## 552 8 1993 100 264 0 28 60 111 1
## 553 1 1994 133 284 0 25 66 125 1
## 554 2 1994 115 275 0 25 61 155 1
## 555 3 1994 118 281 1 36 66 140 1
## 556 4 1994 103 273 1 22 64 110 1
## 557 5 1994 130 282 0 26 67 147 1
## 558 6 1994 114 283 1 15 64 117 1
## 559 7 1994 143 270 1 27 70 148 0
## 560 8 1994 107 273 1 26 65 135 0
## 561 1 1995 120 274 0 24 62 120 0
## 562 2 1995 136 288 0 23 62 217 0
## 563 3 1995 137 303 1 23 66 127 1
## 564 4 1995 120 279 1 23 67 135 0
## 565 5 1995 123 290 0 28 66 107 1
## 566 6 1995 115 290 0 31 62 95 0
## 567 7 1995 128 282 1 25 64 125 0
## 568 8 1995 115 276 1 20 62 105 1
## 569 1 1996 91 270 0 24 60 149 1
## 570 2 1996 163 289 1 25 64 126 1
## 571 3 1996 120 275 0 32 63 115 1
## 572 4 1996 139 260 1 32 64 127 0
## 573 5 1996 115 276 1 18 63 110 0
## 574 6 1996 98 272 1 35 64 129 0
## 575 7 1996 98 262 0 22 67 120 0
## 576 8 1996 91 292 1 26 61 113 1
## 577 1 1997 127 274 0 21 62 110 0
## 578 2 1997 131 285 0 26 64 130 0
## 579 3 1997 143 285 0 27 68 185 0
## 580 4 1997 123 254 0 26 62 130 1
## 581 5 1997 116 272 0 27 64 130 1
## 582 6 1997 128 283 0 27 67 126 0
## 583 7 1997 110 306 1 32 61 122 0
## 584 8 1997 112 287 0 27 64 110 1
## 585 1 1998 153 286 0 26 63 107 1
## 586 2 1998 77 238 0 38 67 135 1
## 587 3 1998 108 270 0 29 67 124 1
## 588 4 1998 104 280 1 23 64 107 1
## 589 5 1998 119 286 1 20 67 130 0
## 590 6 1998 119 271 0 28 64 175 1
## 591 7 1998 162 284 0 27 64 126 0
## 592 8 1998 125 289 1 31 61 120 0
## 593 1 1999 121 276 0 39 63 130 0
## 594 2 1999 124 283 1 33 67 156 1
## 595 3 1999 131 284 1 19 61 114 1
## 596 4 1999 111 270 0 22 59 103 0
## 597 5 1999 125 279 1 19 67 135 0
## 598 6 1999 154 288 0 25 65 147 0
## 599 7 1999 116 292 1 20 65 118 0
## 600 8 1999 157 291 0 33 65 121 0
## 601 1 2000 120 277 0 27 63 126 0
## 602 2 2000 104 270 1 26 62 115 0
## 603 3 2000 110 277 0 36 61 116 0
## 604 4 2000 122 277 0 32 63 157 1
## 605 5 2000 144 282 0 33 66 155 1
## 606 6 2000 127 247 1 21 63 140 0
## 607 7 2000 128 284 0 23 62 110 0
## 608 8 2000 108 256 1 26 67 130 0
## 609 1 2001 99 272 0 27 62 103 1
## 610 2 2001 102 267 1 24 61 109 1
## 611 3 2001 105 276 0 20 62 112 1
## 612 4 2001 116 271 1 30 67 144 1
## 613 5 2001 123 269 0 26 67 132 0
## 614 6 2001 131 263 0 29 64 180 1
## 615 7 2001 111 275 1 18 61 108 1
## 616 8 2001 130 279 0 31 62 122 0
## 617 1 2002 149 293 0 35 65 116 0
## 618 2 2002 94 268 0 30 62 105 1
## 619 3 2002 125 255 0 23 63 133 0
## 620 4 2002 129 277 0 27 68 130 1
## 621 5 2002 120 276 0 23 66 114 0
## 622 6 2002 129 288 0 28 59 102 0
## 623 7 2002 137 280 0 34 60 107 0
## 624 8 2002 135 289 0 25 64 127 0
## 625 1 2003 129 280 0 23 64 104 0
## 626 2 2003 158 295 1 37 70 137 0
## 627 3 2003 78 258 1 24 66 115 1
## 628 4 2003 133 292 0 30 65 112 1
## 629 5 2003 140 251 0 28 63 210 0
## 630 6 2003 114 286 1 22 64 116 1
## 631 7 2003 100 264 0 29 64 120 1
## 632 8 2003 123 277 0 24 66 122 0
## 633 1 2004 139 292 0 25 68 135 0
## 634 2 2004 112 275 1 21 68 143 1
## 635 3 2004 114 289 0 36 60 115 0
## 636 4 2004 110 277 0 25 61 130 0
## 637 5 2004 120 271 1 17 64 142 1
## 638 6 2004 110 280 0 29 62 110 1
## 639 7 2004 160 271 0 32 67 215 0
## 640 8 2004 100 281 0 24 61 115 0
# Lấy dữ liệu cấu trúc của bộ dữ liệu d
str(d)
## 'data.frame': 640 obs. of 9 variables:
## $ I: num 1 2 3 4 5 6 7 8 1 2 ...
## $ y: num 1925 1925 1925 1925 1925 ...
## $ B: num 120 112 119 124 105 120 82 111 113 134 ...
## $ G: num 284 267 286 287 276 289 274 278 282 297 ...
## $ P: num 0 1 0 0 0 1 0 0 0 0 ...
## $ A: num 27 22 26 27 22 31 31 29 33 27 ...
## $ H: num 62 62 64 62 67 59 64 65 64 67 ...
## $ W: num 100 138 123 105 130 102 101 145 135 170 ...
## $ S: num 0 0 1 1 0 0 1 1 0 1 ...
# Lấy 4 dữ liệu đầu tiên của dữ liệu d
head(d,4)
## I y B G P A H W S
## 1 1 1925 120 284 0 27 62 100 0
## 2 2 1925 112 267 1 22 62 138 0
## 3 3 1925 119 286 0 26 64 123 1
## 4 4 1925 124 287 0 27 62 105 1
# Lấy 5 dữ liệu cuối của dữ liệu d
tail(d,5)
## I y B G P A H W S
## 636 4 2004 110 277 0 25 61 130 0
## 637 5 2004 120 271 1 17 64 142 1
## 638 6 2004 110 280 0 29 62 110 1
## 639 7 2004 160 271 0 32 67 215 0
## 640 8 2004 100 281 0 24 61 115 0
# Dữ liệu được rút trích từ người mang thai hút thuốc
d1 <- d[d$S =='1',]
d1
## I y B G P A H W S
## 3 3 1925 119 286 0 26 64 123 1
## 4 4 1925 124 287 0 27 62 105 1
## 7 7 1925 82 274 0 31 64 101 1
## 8 8 1925 111 278 0 29 65 145 1
## 10 2 1926 134 297 0 27 67 170 1
## 11 3 1926 97 279 0 29 68 178 1
## 17 1 1927 128 279 0 28 64 115 1
## 18 2 1927 145 308 0 35 64 110 1
## 21 5 1927 122 281 0 42 63 103 1
## 22 6 1927 112 283 1 21 62 102 1
## 25 1 1928 108 282 0 23 67 125 1
## 27 3 1928 115 264 1 23 67 134 1
## 28 4 1928 125 279 0 23 63 104 1
## 29 5 1928 133 293 0 23 64 110 1
## 30 6 1928 132 278 0 20 64 150 1
## 31 7 1928 97 269 0 20 65 137 1
## 32 8 1928 75 247 0 36 64 120 1
## 34 2 1929 126 278 0 26 64 150 1
## 37 5 1929 130 296 1 22 66 117 1
## 38 6 1929 146 263 0 39 53 110 1
## 43 3 1930 144 304 1 27 58 102 1
## 48 8 1930 94 271 0 36 61 130 1
## 51 3 1931 99 270 0 22 63 115 1
## 52 4 1931 115 278 0 23 60 102 1
## 53 5 1931 106 278 0 31 65 110 1
## 62 6 1932 119 277 0 24 63 120 1
## 63 7 1932 116 274 0 21 62 110 1
## 65 1 1933 143 299 0 30 66 136 1
## 71 7 1933 132 302 0 36 63 145 1
## 74 2 1934 119 286 0 22 63 185 1
## 77 5 1934 140 290 1 19 67 132 1
## 81 1 1935 144 282 0 32 64 124 1
## 82 2 1935 103 267 1 21 66 150 1
## 87 7 1935 119 277 1 18 61 89 1
## 88 8 1935 145 304 1 25 63 109 1
## 89 1 1936 141 279 0 23 63 128 1
## 92 4 1936 104 274 1 20 62 115 1
## 94 6 1936 100 275 0 27 64 111 1
## 95 7 1936 106 312 0 24 62 135 1
## 97 1 1937 110 281 0 36 61 99 1
## 99 3 1937 106 289 0 28 67 120 1
## 100 4 1937 119 275 0 42 67 156 1
## 109 5 1938 120 286 0 22 62 115 1
## 111 7 1938 103 273 0 36 65 158 1
## 116 4 1939 123 284 1 20 65 120 1
## 117 5 1939 127 281 0 24 63 112 1
## 119 7 1939 112 299 0 24 67 145 1
## 121 1 1940 92 255 0 25 65 125 1
## 123 3 1940 121 286 1 22 69 130 1
## 125 5 1940 71 234 0 32 64 110 1
## 126 6 1940 129 280 1 24 65 140 1
## 127 7 1940 96 276 0 33 64 127 1
## 129 1 1941 115 261 0 33 60 125 1
## 134 6 1941 122 280 0 24 67 127 1
## 135 7 1941 102 281 1 19 67 135 1
## 138 2 1942 116 277 0 41 64 124 1
## 140 4 1942 141 319 1 20 67 140 1
## 143 7 1942 120 300 0 34 63 150 1
## 145 1 1943 119 288 0 43 66 142 1
## 146 2 1943 102 294 0 21 65 130 1
## 147 3 1943 123 314 0 22 61 121 1
## 148 4 1943 129 277 0 30 66 142 1
## 155 3 1944 139 286 0 33 65 125 1
## 159 7 1944 97 255 1 22 63 107 1
## 161 1 1945 115 274 0 27 67 175 1
## 164 4 1945 119 292 0 33 62 118 1
## 171 3 1946 105 295 1 20 64 112 1
## 172 4 1946 109 295 1 23 63 103 1
## 173 5 1946 129 294 0 32 62 170 1
## 174 6 1946 117 286 0 32 66 127 1
## 180 4 1947 104 280 1 27 68 146 1
## 183 7 1947 97 260 1 25 63 115 1
## 187 3 1948 146 294 0 22 66 145 1
## 190 6 1948 144 273 0 27 62 118 1
## 192 8 1948 109 283 0 23 65 112 1
## 193 1 1949 103 261 0 27 65 112 1
## 196 4 1949 110 293 1 28 64 135 1
## 206 6 1950 115 270 0 25 67 165 1
## 207 7 1950 127 242 0 17 61 135 1
## 209 1 1951 114 266 0 20 65 175 1
## 210 2 1951 121 271 1 34 63 129 1
## 213 5 1951 145 315 0 39 67 143 1
## 215 7 1951 87 247 1 18 66 125 1
## 216 8 1951 115 307 0 34 65 128 1
## 218 2 1952 100 272 0 30 64 150 1
## 219 3 1952 122 286 0 23 64 120 1
## 221 5 1952 102 278 0 27 67 135 1
## 222 6 1952 99 274 0 28 66 118 1
## 223 7 1952 141 281 0 29 54 156 1
## 225 1 1953 114 274 0 28 66 132 1
## 229 5 1953 129 293 0 30 65 130 1
## 232 8 1953 120 287 0 23 67 116 1
## 236 4 1954 98 280 0 35 64 122 1
## 239 7 1954 116 273 0 33 66 130 1
## 242 2 1955 86 276 1 23 65 125 1
## 243 3 1955 138 284 0 30 66 133 1
## 244 4 1955 136 303 1 20 68 148 1
## 246 6 1955 68 223 0 32 66 149 1
## 247 7 1955 75 265 0 21 65 103 1
## 251 3 1956 120 283 0 28 64 122 1
## 252 4 1956 121 276 1 23 71 152 1
## 253 5 1956 135 282 0 24 67 128 1
## 254 6 1956 102 283 1 19 65 127 1
## 258 2 1957 87 275 0 28 63 110 1
## 259 3 1957 119 273 0 35 65 125 1
## 262 6 1957 109 273 0 37 65 138 1
## 264 8 1957 96 285 1 20 66 117 1
## 268 4 1958 91 264 0 36 60 100 1
## 270 6 1958 102 267 1 25 60 93 1
## 272 8 1958 102 282 1 29 65 125 1
## 275 3 1959 105 330 0 23 64 112 1
## 277 5 1959 104 276 1 18 60 109 1
## 278 6 1959 99 275 0 23 61 125 1
## 284 4 1960 85 273 0 26 60 105 1
## 289 1 1961 134 288 0 23 63 92 1
## 292 4 1961 106 271 1 26 61 110 1
## 294 6 1961 128 284 1 19 66 111 1
## 295 7 1961 81 285 0 19 63 150 1
## 297 1 1962 122 267 0 27 65 101 1
## 304 8 1962 91 266 0 23 60 120 1
## 316 4 1964 109 286 0 24 64 125 1
## 317 5 1964 126 282 1 23 66 115 1
## 318 6 1964 101 278 0 27 61 99 1
## 319 7 1964 114 290 1 21 65 120 1
## 320 8 1964 155 290 0 26 66 129 1
## 322 2 1965 88 273 0 20 66 110 1
## 323 3 1965 123 296 1 26 64 110 1
## 325 5 1965 127 279 0 26 67 155 1
## 327 7 1965 124 288 1 21 64 116 1
## 328 8 1965 109 274 0 33 69 144 1
## 329 1 1966 87 248 0 37 65 130 1
## 333 5 1966 98 275 0 25 65 112 1
## 334 6 1966 109 272 0 41 66 154 1
## 335 7 1966 115 262 1 23 64 136 1
## 336 8 1966 80 262 1 31 61 100 1
## 337 1 1967 143 274 0 27 63 110 1
## 342 6 1967 117 281 1 21 70 141 1
## 343 7 1967 143 281 0 28 65 135 1
## 346 2 1968 96 278 1 18 60 120 1
## 347 3 1968 103 276 1 19 63 149 1
## 350 6 1968 88 252 1 21 60 115 1
## 351 7 1968 113 287 1 29 70 145 1
## 352 8 1968 94 284 0 24 63 104 1
## 356 4 1969 98 257 0 29 66 130 1
## 357 5 1969 131 292 1 22 64 124 1
## 358 6 1969 95 270 0 35 65 135 1
## 359 7 1969 109 244 1 21 63 102 1
## 360 8 1969 148 281 0 27 63 110 1
## 363 3 1970 105 270 1 27 65 134 1
## 366 6 1970 127 291 1 24 66 135 1
## 367 7 1970 103 278 0 30 60 87 1
## 369 1 1971 145 291 0 26 63 119 1
## 372 4 1971 101 295 0 18 62 145 1
## 374 6 1971 107 293 0 20 65 155 1
## 376 8 1971 123 267 1 19 66 132 1
## 380 4 1972 71 281 0 32 60 117 1
## 381 5 1972 99 313 1 34 59 100 1
## 382 6 1972 126 262 0 37 66 135 1
## 384 8 1972 65 232 0 24 66 125 1
## 385 1 1973 108 283 0 31 65 148 1
## 387 3 1973 139 285 0 30 65 129 1
## 388 4 1973 124 292 0 29 68 176 1
## 389 5 1973 115 290 0 30 64 140 1
## 390 6 1973 98 278 0 27 63 110 1
## 394 2 1974 112 292 1 28 62 110 1
## 395 3 1974 104 288 1 27 61 122 1
## 398 6 1974 96 241 0 23 64 130 1
## 402 2 1975 115 281 0 28 61 128 1
## 404 4 1975 101 278 0 25 62 112 1
## 405 5 1975 102 249 1 23 67 134 1
## 411 3 1976 118 276 0 29 62 130 1
## 412 4 1976 100 277 0 31 62 100 1
## 415 7 1976 130 291 0 30 65 150 1
## 416 8 1976 108 270 1 21 65 130 1
## 418 2 1977 122 281 1 24 65 137 1
## 419 3 1977 99 285 0 25 69 128 1
## 420 4 1977 104 269 0 35 63 110 1
## 422 6 1977 93 267 0 25 63 135 1
## 425 1 1978 124 278 0 26 70 145 1
## 428 4 1978 117 270 0 24 67 135 1
## 430 6 1978 101 280 1 24 65 123 1
## 432 8 1978 103 268 0 32 62 97 1
## 434 2 1979 127 272 0 20 64 130 1
## 435 3 1979 121 270 0 25 62 108 1
## 436 4 1979 117 267 0 29 65 120 1
## 440 8 1979 105 312 0 41 61 115 1
## 442 2 1980 90 266 0 23 61 99 1
## 446 6 1980 130 289 0 21 61 130 1
## 454 6 1981 125 288 0 22 63 128 1
## 467 3 1983 125 283 0 37 63 145 1
## 469 5 1983 143 279 0 39 65 129 1
## 473 1 1984 122 280 0 23 65 125 1
## 474 2 1984 58 245 0 34 64 156 1
## 479 7 1984 77 238 1 23 63 103 1
## 481 1 1985 101 245 0 23 63 130 1
## 482 2 1985 109 265 1 24 63 107 1
## 489 1 1986 128 283 0 28 63 125 1
## 495 7 1986 93 245 0 33 61 100 1
## 497 1 1987 104 282 0 36 65 115 1
## 503 7 1987 109 275 1 37 63 112 1
## 507 3 1988 100 270 1 21 65 132 1
## 508 4 1988 117 293 0 39 60 120 1
## 510 6 1988 132 286 0 26 67 122 1
## 511 7 1988 145 283 0 27 65 125 1
## 513 1 1989 137 274 0 26 69 137 1
## 516 4 1989 109 282 0 25 62 106 1
## 519 7 1989 92 224 0 19 63 134 1
## 521 1 1990 103 273 0 31 63 170 1
## 522 2 1990 142 284 1 31 66 137 1
## 526 6 1990 69 232 0 31 59 103 1
## 531 3 1991 117 324 0 22 62 164 1
## 532 4 1991 120 273 0 29 64 130 1
## 534 6 1991 114 264 0 26 63 110 1
## 541 5 1992 87 282 0 27 63 104 1
## 542 6 1992 123 267 0 29 63 111 1
## 547 3 1993 122 273 1 23 64 130 1
## 550 6 1993 129 284 1 20 66 130 1
## 552 8 1993 100 264 0 28 60 111 1
## 553 1 1994 133 284 0 25 66 125 1
## 554 2 1994 115 275 0 25 61 155 1
## 555 3 1994 118 281 1 36 66 140 1
## 556 4 1994 103 273 1 22 64 110 1
## 557 5 1994 130 282 0 26 67 147 1
## 558 6 1994 114 283 1 15 64 117 1
## 563 3 1995 137 303 1 23 66 127 1
## 565 5 1995 123 290 0 28 66 107 1
## 568 8 1995 115 276 1 20 62 105 1
## 569 1 1996 91 270 0 24 60 149 1
## 570 2 1996 163 289 1 25 64 126 1
## 571 3 1996 120 275 0 32 63 115 1
## 576 8 1996 91 292 1 26 61 113 1
## 580 4 1997 123 254 0 26 62 130 1
## 581 5 1997 116 272 0 27 64 130 1
## 584 8 1997 112 287 0 27 64 110 1
## 585 1 1998 153 286 0 26 63 107 1
## 586 2 1998 77 238 0 38 67 135 1
## 587 3 1998 108 270 0 29 67 124 1
## 588 4 1998 104 280 1 23 64 107 1
## 590 6 1998 119 271 0 28 64 175 1
## 594 2 1999 124 283 1 33 67 156 1
## 595 3 1999 131 284 1 19 61 114 1
## 604 4 2000 122 277 0 32 63 157 1
## 605 5 2000 144 282 0 33 66 155 1
## 609 1 2001 99 272 0 27 62 103 1
## 610 2 2001 102 267 1 24 61 109 1
## 611 3 2001 105 276 0 20 62 112 1
## 612 4 2001 116 271 1 30 67 144 1
## 614 6 2001 131 263 0 29 64 180 1
## 615 7 2001 111 275 1 18 61 108 1
## 618 2 2002 94 268 0 30 62 105 1
## 620 4 2002 129 277 0 27 68 130 1
## 627 3 2003 78 258 1 24 66 115 1
## 628 4 2003 133 292 0 30 65 112 1
## 630 6 2003 114 286 1 22 64 116 1
## 631 7 2003 100 264 0 29 64 120 1
## 634 2 2004 112 275 1 21 68 143 1
## 637 5 2004 120 271 1 17 64 142 1
## 638 6 2004 110 280 0 29 62 110 1
str(d1)
## 'data.frame': 258 obs. of 9 variables:
## $ I: num 3 4 7 8 2 3 1 2 5 6 ...
## $ y: num 1925 1925 1925 1925 1926 ...
## $ B: num 119 124 82 111 134 97 128 145 122 112 ...
## $ G: num 286 287 274 278 297 279 279 308 281 283 ...
## $ P: num 0 0 0 0 0 0 0 0 0 1 ...
## $ A: num 26 27 31 29 27 29 28 35 42 21 ...
## $ H: num 64 62 64 65 67 68 64 64 63 62 ...
## $ W: num 123 105 101 145 170 178 115 110 103 102 ...
## $ S: num 1 1 1 1 1 1 1 1 1 1 ...
d0 <- d[d$B=='82'|d$B=='112',]
d0
## I y B G P A H W S
## 2 2 1925 112 267 1 22 62 138 0
## 7 7 1925 82 274 0 31 64 101 1
## 22 6 1927 112 283 1 21 62 102 1
## 119 7 1939 112 299 0 24 67 145 1
## 131 3 1941 112 282 0 26 65 122 0
## 139 3 1942 112 266 0 26 64 122 0
## 238 6 1954 112 281 1 23 61 150 0
## 288 8 1960 112 277 1 22 67 120 0
## 394 2 1974 112 292 1 28 62 110 1
## 500 4 1987 112 278 1 21 63 120 0
## 518 6 1989 112 252 0 37 64 162 0
## 584 8 1997 112 287 0 27 64 110 1
## 634 2 2004 112 275 1 21 68 143 1
# Lấy dữ liệu từ quan sát W sao cho giá trị nhỏ hơn 120 và lấy tất cả các quan sát
d1 <- d[d$W < 120,]
d1
## I y B G P A H W S
## 1 1 1925 120 284 0 27 62 100 0
## 4 4 1925 124 287 0 27 62 105 1
## 6 6 1925 120 289 1 31 59 102 0
## 7 7 1925 82 274 0 31 64 101 1
## 15 7 1926 100 274 0 24 63 113 0
## 17 1 1927 128 279 0 28 64 115 1
## 18 2 1927 145 308 0 35 64 110 1
## 21 5 1927 122 281 0 42 63 103 1
## 22 6 1927 112 283 1 21 62 102 1
## 28 4 1928 125 279 0 23 63 104 1
## 29 5 1928 133 293 0 23 64 110 1
## 33 1 1929 136 286 0 25 62 93 0
## 37 5 1929 130 296 1 22 66 117 1
## 38 6 1929 146 263 0 39 53 110 1
## 39 7 1929 126 298 0 24 61 112 0
## 43 3 1930 144 304 1 27 58 102 1
## 50 2 1931 126 282 0 33 62 117 0
## 51 3 1931 99 270 0 22 63 115 1
## 52 4 1931 115 278 0 23 60 102 1
## 53 5 1931 106 278 0 31 65 110 1
## 58 2 1932 109 291 0 39 64 107 0
## 59 3 1932 105 280 1 22 63 116 0
## 61 5 1932 120 281 0 33 63 113 0
## 63 7 1932 116 274 0 21 62 110 1
## 68 4 1933 140 294 0 25 61 103 0
## 76 4 1934 133 276 1 22 63 119 0
## 83 3 1935 119 270 1 20 64 109 0
## 85 5 1935 114 268 0 22 64 104 0
## 86 6 1935 116 293 1 28 62 108 0
## 87 7 1935 119 277 1 18 61 89 1
## 88 8 1935 145 304 1 25 63 109 1
## 90 2 1936 124 284 1 17 62 112 0
## 91 3 1936 114 291 0 35 60 112 0
## 92 4 1936 104 274 1 20 62 115 1
## 94 6 1936 100 275 0 27 64 111 1
## 96 8 1936 121 285 0 34 64 110 0
## 97 1 1937 110 281 0 36 61 99 1
## 101 5 1937 129 284 0 24 64 115 0
## 106 2 1938 122 282 1 21 66 110 0
## 109 5 1938 120 286 0 22 62 115 1
## 115 3 1939 136 261 0 24 65 110 0
## 117 5 1939 127 281 0 24 63 112 1
## 125 5 1940 71 234 0 32 64 110 1
## 128 8 1940 114 276 0 24 63 110 0
## 130 2 1941 126 293 1 27 62 111 0
## 136 8 1941 97 265 0 30 61 110 0
## 153 1 1944 105 270 0 22 56 93 0
## 158 6 1944 114 283 1 20 65 115 0
## 159 7 1944 97 255 1 22 63 107 1
## 160 8 1944 145 288 0 28 64 116 0
## 163 3 1945 125 290 0 36 59 105 0
## 164 4 1945 119 292 0 33 62 118 1
## 165 5 1945 107 290 0 26 63 112 0
## 168 8 1945 95 273 0 23 60 90 0
## 171 3 1946 105 295 1 20 64 112 1
## 172 4 1946 109 295 1 23 63 103 1
## 183 7 1947 97 260 1 25 63 115 1
## 190 6 1948 144 273 0 27 62 118 1
## 192 8 1948 109 283 0 23 65 112 1
## 193 1 1949 103 261 0 27 65 112 1
## 199 7 1949 114 266 0 29 64 113 0
## 201 1 1950 146 280 0 26 58 106 0
## 202 2 1950 122 306 1 22 62 100 0
## 211 3 1951 109 269 0 23 63 113 0
## 220 4 1952 117 283 0 27 63 108 0
## 222 6 1952 99 274 0 28 66 118 1
## 224 8 1952 108 279 1 19 64 115 0
## 232 8 1953 120 287 0 23 67 116 1
## 233 1 1954 122 270 0 26 61 105 0
## 234 2 1954 128 272 1 18 67 109 0
## 235 3 1954 117 272 0 32 66 118 0
## 245 5 1955 110 272 0 28 60 108 0
## 247 7 1955 75 265 0 21 65 103 1
## 248 8 1955 136 283 1 24 63 119 0
## 250 2 1956 123 282 0 30 63 118 0
## 257 1 1957 119 275 0 23 60 105 0
## 258 2 1957 87 275 0 28 63 110 1
## 261 5 1957 101 278 1 20 62 105 0
## 264 8 1957 96 285 1 20 66 117 1
## 268 4 1958 91 264 0 36 60 100 1
## 270 6 1958 102 267 1 25 60 93 1
## 271 7 1958 118 293 0 21 63 103 0
## 275 3 1959 105 330 0 23 64 112 1
## 276 4 1959 119 294 0 34 59 105 0
## 277 5 1959 104 276 1 18 60 109 1
## 279 7 1959 97 266 0 24 62 109 0
## 280 8 1959 102 288 1 18 65 117 0
## 281 1 1960 107 279 0 24 63 115 0
## 284 4 1960 85 273 0 26 60 105 1
## 285 5 1960 100 249 0 24 67 100 0
## 289 1 1961 134 288 0 23 63 92 1
## 291 3 1961 148 291 1 21 63 115 0
## 292 4 1961 106 271 1 26 61 110 1
## 294 6 1961 128 284 1 19 66 111 1
## 297 1 1962 122 267 0 27 65 101 1
## 298 2 1962 116 284 1 24 66 117 0
## 311 7 1963 135 284 1 19 60 95 0
## 315 3 1964 120 280 0 31 61 111 0
## 317 5 1964 126 282 1 23 66 115 1
## 318 6 1964 101 278 0 27 61 99 1
## 321 1 1965 111 270 0 27 61 119 0
## 322 2 1965 88 273 0 20 66 110 1
## 323 3 1965 123 296 1 26 64 110 1
## 324 4 1965 111 306 0 27 61 102 0
## 327 7 1965 124 288 1 21 64 116 1
## 330 2 1966 137 284 0 30 67 110 0
## 333 5 1966 98 275 0 25 65 112 1
## 336 8 1966 80 262 1 31 61 100 1
## 337 1 1967 143 274 0 27 63 110 1
## 350 6 1968 88 252 1 21 60 115 1
## 352 8 1968 94 284 0 24 63 104 1
## 353 1 1969 110 272 0 25 60 90 0
## 355 3 1969 123 283 0 21 65 110 0
## 359 7 1969 109 244 1 21 63 102 1
## 360 8 1969 148 281 0 27 63 110 1
## 362 2 1970 128 288 1 26 65 114 0
## 364 4 1970 108 305 1 24 65 112 0
## 367 7 1970 103 278 0 30 60 87 1
## 369 1 1971 145 291 0 26 63 119 1
## 373 5 1971 127 280 0 27 62 118 0
## 375 7 1971 118 276 0 34 64 116 0
## 378 2 1972 111 281 1 27 64 112 0
## 380 4 1972 71 281 0 32 60 117 1
## 381 5 1972 99 313 1 34 59 100 1
## 386 2 1973 124 275 0 28 61 116 0
## 390 6 1973 98 278 0 27 63 110 1
## 392 8 1973 118 279 1 21 64 108 0
## 393 1 1974 102 282 0 28 61 110 0
## 394 2 1974 112 292 1 28 62 110 1
## 399 7 1974 113 275 1 27 60 100 0
## 400 8 1974 102 283 0 39 60 119 0
## 403 3 1975 159 296 1 27 64 112 0
## 404 4 1975 101 278 0 25 62 112 1
## 408 8 1975 120 280 0 24 61 118 0
## 412 4 1976 100 277 0 31 62 100 1
## 413 5 1976 136 299 0 29 64 115 0
## 420 4 1977 104 269 0 35 63 110 1
## 423 7 1977 125 281 1 21 65 110 0
## 429 5 1978 120 286 0 25 62 105 0
## 432 8 1978 103 268 0 32 62 97 1
## 435 3 1979 121 270 0 25 62 108 1
## 437 5 1979 118 261 0 26 60 104 0
## 440 8 1979 105 312 0 41 61 115 1
## 441 1 1980 106 273 0 28 60 116 0
## 442 2 1980 90 266 0 23 61 99 1
## 443 3 1980 117 265 1 24 66 98 0
## 445 5 1980 127 304 1 26 62 105 0
## 449 1 1981 75 232 0 33 61 110 0
## 450 2 1981 99 273 1 27 59 115 0
## 453 5 1981 132 281 1 24 63 117 0
## 455 7 1981 139 299 1 20 67 112 0
## 457 1 1982 107 273 0 24 61 96 0
## 463 7 1982 130 283 0 32 65 118 0
## 465 1 1983 124 288 0 22 67 118 0
## 470 6 1983 115 290 1 19 65 118 0
## 471 7 1983 113 289 1 26 59 91 0
## 479 7 1984 77 238 1 23 63 103 1
## 482 2 1985 109 265 1 24 63 107 1
## 483 3 1985 101 273 0 39 60 113 0
## 487 7 1985 62 228 0 24 61 107 0
## 488 8 1985 126 299 1 21 60 114 0
## 495 7 1986 93 245 0 33 61 100 1
## 497 1 1987 104 282 0 36 65 115 1
## 499 3 1987 110 281 0 27 60 110 0
## 501 5 1987 132 294 0 32 64 116 0
## 503 7 1987 109 275 1 37 63 112 1
## 504 8 1987 114 277 1 19 63 107 0
## 512 8 1988 118 272 0 23 64 113 0
## 516 4 1989 109 282 0 25 62 106 1
## 526 6 1990 69 232 0 31 59 103 1
## 527 7 1990 120 281 0 26 61 115 0
## 528 8 1990 117 290 1 22 67 110 0
## 534 6 1991 114 264 0 26 63 110 1
## 538 2 1992 108 283 0 35 62 108 0
## 539 3 1992 122 278 0 37 68 114 0
## 541 5 1992 87 282 0 27 63 104 1
## 542 6 1992 123 267 0 29 63 111 1
## 543 7 1992 113 287 0 36 63 118 0
## 545 1 1993 156 292 0 26 63 118 0
## 548 4 1993 140 290 0 23 65 110 0
## 552 8 1993 100 264 0 28 60 111 1
## 556 4 1994 103 273 1 22 64 110 1
## 558 6 1994 114 283 1 15 64 117 1
## 565 5 1995 123 290 0 28 66 107 1
## 566 6 1995 115 290 0 31 62 95 0
## 568 8 1995 115 276 1 20 62 105 1
## 571 3 1996 120 275 0 32 63 115 1
## 573 5 1996 115 276 1 18 63 110 0
## 576 8 1996 91 292 1 26 61 113 1
## 577 1 1997 127 274 0 21 62 110 0
## 584 8 1997 112 287 0 27 64 110 1
## 585 1 1998 153 286 0 26 63 107 1
## 588 4 1998 104 280 1 23 64 107 1
## 595 3 1999 131 284 1 19 61 114 1
## 596 4 1999 111 270 0 22 59 103 0
## 599 7 1999 116 292 1 20 65 118 0
## 602 2 2000 104 270 1 26 62 115 0
## 603 3 2000 110 277 0 36 61 116 0
## 607 7 2000 128 284 0 23 62 110 0
## 609 1 2001 99 272 0 27 62 103 1
## 610 2 2001 102 267 1 24 61 109 1
## 611 3 2001 105 276 0 20 62 112 1
## 615 7 2001 111 275 1 18 61 108 1
## 617 1 2002 149 293 0 35 65 116 0
## 618 2 2002 94 268 0 30 62 105 1
## 621 5 2002 120 276 0 23 66 114 0
## 622 6 2002 129 288 0 28 59 102 0
## 623 7 2002 137 280 0 34 60 107 0
## 625 1 2003 129 280 0 23 64 104 0
## 627 3 2003 78 258 1 24 66 115 1
## 628 4 2003 133 292 0 30 65 112 1
## 630 6 2003 114 286 1 22 64 116 1
## 635 3 2004 114 289 0 36 60 115 0
## 638 6 2004 110 280 0 29 62 110 1
## 640 8 2004 100 281 0 24 61 115 0
# Lấy dữ liệu từ quan sát B sao cho quan sát B không chứa giá trị 119 và tất cả các biến
d2 <- d[d$B != '119',]
d2
## I y B G P A H W S
## 1 1 1925 120 284 0 27 62 100 0
## 2 2 1925 112 267 1 22 62 138 0
## 4 4 1925 124 287 0 27 62 105 1
## 5 5 1925 105 276 0 22 67 130 0
## 6 6 1925 120 289 1 31 59 102 0
## 7 7 1925 82 274 0 31 64 101 1
## 8 8 1925 111 278 0 29 65 145 1
## 9 1 1926 113 282 0 33 64 135 0
## 10 2 1926 134 297 0 27 67 170 1
## 11 3 1926 97 279 0 29 68 178 1
## 12 4 1926 125 292 0 22 65 122 0
## 13 5 1926 93 246 0 37 65 130 0
## 14 6 1926 146 280 0 23 61 145 0
## 15 7 1926 100 274 0 24 63 113 0
## 16 8 1926 103 250 0 40 59 140 0
## 17 1 1927 128 279 0 28 64 115 1
## 18 2 1927 145 308 0 35 64 110 1
## 19 3 1927 99 252 0 21 64 120 0
## 20 4 1927 110 262 0 25 66 140 0
## 21 5 1927 122 281 0 42 63 103 1
## 22 6 1927 112 283 1 21 62 102 1
## 23 7 1927 114 271 0 32 61 130 0
## 24 8 1927 114 276 0 26 62 127 0
## 25 1 1928 108 282 0 23 67 125 1
## 26 2 1928 116 295 0 32 65 120 0
## 27 3 1928 115 264 1 23 67 134 1
## 28 4 1928 125 279 0 23 63 104 1
## 29 5 1928 133 293 0 23 64 110 1
## 30 6 1928 132 278 0 20 64 150 1
## 31 7 1928 97 269 0 20 65 137 1
## 32 8 1928 75 247 0 36 64 120 1
## 33 1 1929 136 286 0 25 62 93 0
## 34 2 1929 126 278 0 26 64 150 1
## 35 3 1929 139 284 0 37 61 121 0
## 36 4 1929 138 294 0 40 64 125 0
## 37 5 1929 130 296 1 22 66 117 1
## 38 6 1929 146 263 0 39 53 110 1
## 39 7 1929 126 298 0 24 61 112 0
## 40 8 1929 169 296 0 33 67 185 0
## 41 1 1930 138 244 0 33 62 178 0
## 42 2 1930 111 285 0 29 65 130 0
## 43 3 1930 144 304 1 27 58 102 1
## 44 4 1930 142 284 0 39 66 132 0
## 45 5 1930 104 307 0 24 59 122 0
## 46 6 1930 122 275 0 30 68 140 0
## 47 7 1930 122 275 1 20 65 127 0
## 48 8 1930 94 271 0 36 61 130 1
## 49 1 1931 132 245 0 23 65 140 0
## 50 2 1931 126 282 0 33 62 117 0
## 51 3 1931 99 270 0 22 63 115 1
## 52 4 1931 115 278 0 23 60 102 1
## 53 5 1931 106 278 0 31 65 110 1
## 54 6 1931 128 292 0 32 66 130 0
## 55 7 1931 152 295 0 39 62 140 0
## 56 8 1931 150 287 0 36 62 135 0
## 57 1 1932 120 289 0 25 62 125 0
## 58 2 1932 109 291 0 39 64 107 0
## 59 3 1932 105 280 1 22 63 116 0
## 60 4 1932 102 280 0 38 67 140 0
## 61 5 1932 120 281 0 33 63 113 0
## 63 7 1932 116 274 0 21 62 110 1
## 64 8 1932 144 248 0 30 70 145 0
## 65 1 1933 143 299 0 30 66 136 1
## 66 2 1933 136 291 0 41 66 191 0
## 67 3 1933 89 275 0 34 66 170 0
## 68 4 1933 140 294 0 25 61 103 0
## 69 5 1933 118 276 1 18 63 128 0
## 70 6 1933 135 278 0 27 66 148 0
## 71 7 1933 132 302 0 36 63 145 1
## 72 8 1933 144 291 0 28 67 130 0
## 73 1 1934 140 351 0 27 68 120 0
## 75 3 1934 129 270 0 43 67 160 0
## 76 4 1934 133 276 1 22 63 119 0
## 77 5 1934 140 290 1 19 67 132 1
## 78 6 1934 129 235 0 24 66 135 0
## 79 7 1934 84 260 1 37 66 140 0
## 80 8 1934 143 313 0 20 68 150 0
## 81 1 1935 144 282 0 32 64 124 1
## 82 2 1935 103 267 1 21 66 150 1
## 84 4 1935 127 290 0 35 66 165 0
## 85 5 1935 114 268 0 22 64 104 0
## 86 6 1935 116 293 1 28 62 108 0
## 88 8 1935 145 304 1 25 63 109 1
## 89 1 1936 141 279 0 23 63 128 1
## 90 2 1936 124 284 1 17 62 112 0
## 91 3 1936 114 291 0 35 60 112 0
## 92 4 1936 104 274 1 20 62 115 1
## 93 5 1936 116 280 0 40 62 159 0
## 94 6 1936 100 275 0 27 64 111 1
## 95 7 1936 106 312 0 24 62 135 1
## 96 8 1936 121 285 0 34 64 110 0
## 97 1 1937 110 281 0 36 61 99 1
## 98 2 1937 155 286 0 31 66 127 0
## 99 3 1937 106 289 0 28 67 120 1
## 101 5 1937 129 284 0 24 64 115 0
## 102 6 1937 138 257 0 38 67 138 0
## 103 7 1937 139 291 0 24 65 160 0
## 104 8 1937 105 256 0 31 66 142 0
## 105 1 1938 114 273 0 30 63 154 0
## 106 2 1938 122 282 1 21 66 110 0
## 107 3 1938 122 292 1 34 65 133 0
## 108 4 1938 152 301 0 29 65 150 0
## 109 5 1938 120 286 0 22 62 115 1
## 110 6 1938 123 282 0 22 65 130 0
## 111 7 1938 103 273 0 36 65 158 1
## 112 8 1938 134 286 0 25 64 125 0
## 113 1 1939 115 285 0 38 63 130 0
## 114 2 1939 113 285 0 26 66 140 0
## 115 3 1939 136 261 0 24 65 110 0
## 116 4 1939 123 284 1 20 65 120 1
## 117 5 1939 127 281 0 24 63 112 1
## 118 6 1939 113 288 1 21 61 120 0
## 119 7 1939 112 299 0 24 67 145 1
## 120 8 1939 129 294 1 21 65 132 0
## 121 1 1940 92 255 0 25 65 125 1
## 122 2 1940 122 273 0 26 66 210 0
## 123 3 1940 121 286 1 22 69 130 1
## 124 4 1940 143 273 0 19 66 135 0
## 125 5 1940 71 234 0 32 64 110 1
## 126 6 1940 129 280 1 24 65 140 1
## 127 7 1940 96 276 0 33 64 127 1
## 128 8 1940 114 276 0 24 63 110 0
## 129 1 1941 115 261 0 33 60 125 1
## 130 2 1941 126 293 1 27 62 111 0
## 131 3 1941 112 282 0 26 65 122 0
## 132 4 1941 131 308 0 40 65 160 0
## 133 5 1941 88 274 0 30 66 130 0
## 134 6 1941 122 280 0 24 67 127 1
## 135 7 1941 102 281 1 19 67 135 1
## 136 8 1941 97 265 0 30 61 110 0
## 137 1 1942 144 261 0 33 68 170 0
## 138 2 1942 116 277 0 41 64 124 1
## 139 3 1942 112 266 0 26 64 122 0
## 140 4 1942 141 319 1 20 67 140 1
## 141 5 1942 122 286 0 23 64 145 0
## 142 6 1942 132 281 1 21 67 140 0
## 143 7 1942 120 300 0 34 63 150 1
## 144 8 1942 160 292 0 28 64 120 0
## 146 2 1943 102 294 0 21 65 130 1
## 147 3 1943 123 314 0 22 61 121 1
## 148 4 1943 129 277 0 30 66 142 1
## 149 5 1943 106 302 1 19 66 147 0
## 150 6 1943 120 269 1 40 63 130 0
## 151 7 1943 102 338 0 19 64 170 0
## 152 8 1943 65 237 0 31 67 130 0
## 153 1 1944 105 270 0 22 56 93 0
## 154 2 1944 110 181 0 27 64 133 0
## 155 3 1944 139 286 0 33 65 125 1
## 156 4 1944 113 282 1 36 59 140 0
## 157 5 1944 135 285 0 30 66 130 0
## 158 6 1944 114 283 1 20 65 115 0
## 159 7 1944 97 255 1 22 63 107 1
## 160 8 1944 145 288 0 28 64 116 0
## 161 1 1945 115 274 0 27 67 175 1
## 162 2 1945 133 285 1 30 64 160 0
## 163 3 1945 125 290 0 36 59 105 0
## 165 5 1945 107 290 0 26 63 112 0
## 166 6 1945 130 280 0 29 66 135 0
## 167 7 1945 113 285 0 22 70 145 0
## 168 8 1945 95 273 0 23 60 90 0
## 169 1 1946 137 287 0 25 66 145 0
## 170 2 1946 125 283 0 29 65 125 0
## 171 3 1946 105 295 1 20 64 112 1
## 172 4 1946 109 295 1 23 63 103 1
## 173 5 1946 129 294 0 32 62 170 1
## 174 6 1946 117 286 0 32 66 127 1
## 175 7 1946 130 297 0 32 58 130 0
## 176 8 1946 139 293 1 21 69 130 0
## 177 1 1947 122 276 0 30 68 182 0
## 178 2 1947 164 286 1 32 66 143 0
## 179 3 1947 130 276 0 41 68 130 0
## 180 4 1947 104 280 1 27 68 146 1
## 181 5 1947 126 274 0 39 62 122 0
## 182 6 1947 142 285 0 33 63 124 0
## 183 7 1947 97 260 1 25 63 115 1
## 184 8 1947 123 288 0 27 63 125 0
## 185 1 1948 131 294 0 23 65 122 0
## 186 2 1948 133 297 0 36 61 125 0
## 187 3 1948 146 294 0 22 66 145 1
## 188 4 1948 131 282 1 21 66 126 0
## 189 5 1948 116 293 1 26 64 125 0
## 190 6 1948 144 273 0 27 62 118 1
## 191 7 1948 116 273 0 31 61 120 0
## 192 8 1948 109 283 0 23 65 112 1
## 193 1 1949 103 261 0 27 65 112 1
## 194 2 1949 124 293 1 19 65 150 0
## 195 3 1949 133 290 0 21 64 145 0
## 196 4 1949 110 293 1 28 64 135 1
## 197 5 1949 124 294 0 26 62 122 0
## 198 6 1949 127 262 1 32 64 125 0
## 199 7 1949 114 266 0 29 64 113 0
## 200 8 1949 110 268 0 34 64 127 0
## 201 1 1950 146 280 0 26 58 106 0
## 202 2 1950 122 306 1 22 62 100 0
## 203 3 1950 147 296 1 19 67 124 0
## 204 4 1950 148 279 0 27 71 189 0
## 205 5 1950 123 281 0 23 68 136 0
## 206 6 1950 115 270 0 25 67 165 1
## 207 7 1950 127 242 0 17 61 135 1
## 208 8 1950 122 296 1 24 65 132 0
## 209 1 1951 114 266 0 20 65 175 1
## 210 2 1951 121 271 1 34 63 129 1
## 211 3 1951 109 269 0 23 63 113 0
## 212 4 1951 137 283 1 20 65 157 0
## 213 5 1951 145 315 0 39 67 143 1
## 214 6 1951 85 258 0 41 67 137 0
## 215 7 1951 87 247 1 18 66 125 1
## 216 8 1951 115 307 0 34 65 128 1
## 217 1 1952 125 292 0 32 65 125 0
## 218 2 1952 100 272 0 30 64 150 1
## 219 3 1952 122 286 0 23 64 120 1
## 220 4 1952 117 283 0 27 63 108 0
## 221 5 1952 102 278 0 27 67 135 1
## 222 6 1952 99 274 0 28 66 118 1
## 223 7 1952 141 281 0 29 54 156 1
## 224 8 1952 108 279 1 19 64 115 0
## 225 1 1953 114 274 0 28 66 132 1
## 226 2 1953 90 266 1 26 67 135 0
## 227 3 1953 135 260 0 43 65 135 0
## 228 4 1953 115 302 1 22 67 135 0
## 229 5 1953 129 293 0 30 65 130 1
## 230 6 1953 123 323 1 17 64 140 0
## 231 7 1953 144 283 1 25 66 140 0
## 232 8 1953 120 287 0 23 67 116 1
## 233 1 1954 122 270 0 26 61 105 0
## 234 2 1954 128 272 1 18 67 109 0
## 235 3 1954 117 272 0 32 66 118 0
## 236 4 1954 98 280 0 35 64 122 1
## 237 5 1954 98 276 1 22 61 121 0
## 238 6 1954 112 281 1 23 61 150 0
## 239 7 1954 116 273 0 33 66 130 1
## 240 8 1954 131 269 0 36 68 145 0
## 241 1 1955 93 278 0 34 61 146 0
## 242 2 1955 86 276 1 23 65 125 1
## 243 3 1955 138 284 0 30 66 133 1
## 244 4 1955 136 303 1 20 68 148 1
## 245 5 1955 110 272 0 28 60 108 0
## 246 6 1955 68 223 0 32 66 149 1
## 247 7 1955 75 265 0 21 65 103 1
## 248 8 1955 136 283 1 24 63 119 0
## 249 1 1956 130 268 0 30 66 123 0
## 250 2 1956 123 282 0 30 63 118 0
## 251 3 1956 120 283 0 28 64 122 1
## 252 4 1956 121 276 1 23 71 152 1
## 253 5 1956 135 282 0 24 67 128 1
## 254 6 1956 102 283 1 19 65 127 1
## 255 7 1956 138 286 1 28 68 120 0
## 256 8 1956 125 290 0 32 63 135 0
## 258 2 1957 87 275 0 28 63 110 1
## 260 4 1957 132 285 1 25 63 140 0
## 261 5 1957 101 278 1 20 62 105 0
## 262 6 1957 109 273 0 37 65 138 1
## 263 7 1957 99 271 0 39 69 151 0
## 264 8 1957 96 285 1 20 66 117 1
## 265 1 1958 113 281 0 24 65 120 0
## 266 2 1958 128 291 1 27 63 132 0
## 267 3 1958 118 278 1 19 62 126 0
## 268 4 1958 91 264 0 36 60 100 1
## 269 5 1958 96 266 0 26 65 125 0
## 270 6 1958 102 267 1 25 60 93 1
## 271 7 1958 118 293 0 21 63 103 0
## 272 8 1958 102 282 1 29 65 125 1
## 273 1 1959 134 283 0 22 67 130 0
## 274 2 1959 120 288 0 28 63 125 0
## 275 3 1959 105 330 0 23 64 112 1
## 277 5 1959 104 276 1 18 60 109 1
## 278 6 1959 99 275 0 23 61 125 1
## 279 7 1959 97 266 0 24 62 109 0
## 280 8 1959 102 288 1 18 65 117 0
## 281 1 1960 107 279 0 24 63 115 0
## 282 2 1960 125 301 1 35 68 181 0
## 283 3 1960 113 306 1 21 65 137 0
## 284 4 1960 85 273 0 26 60 105 1
## 285 5 1960 100 249 0 24 67 100 0
## 286 6 1960 78 256 1 29 65 123 0
## 287 7 1960 146 319 0 28 66 145 0
## 288 8 1960 112 277 1 22 67 120 0
## 289 1 1961 134 288 0 23 63 92 1
## 290 2 1961 118 265 0 27 61 123 0
## 291 3 1961 148 291 1 21 63 115 0
## 292 4 1961 106 271 1 26 61 110 1
## 293 5 1961 154 292 0 40 66 145 0
## 294 6 1961 128 284 1 19 66 111 1
## 295 7 1961 81 285 0 19 63 150 1
## 296 8 1961 135 272 0 30 65 130 0
## 297 1 1962 122 267 0 27 65 101 1
## 298 2 1962 116 284 1 24 66 117 0
## 299 3 1962 140 281 1 22 69 135 0
## 300 4 1962 132 284 0 29 64 122 0
## 301 5 1962 127 293 0 31 67 137 0
## 302 6 1962 107 303 1 25 67 133 0
## 303 7 1962 110 321 0 28 66 180 0
## 304 8 1962 91 266 0 23 60 120 1
## 305 1 1963 129 293 0 30 61 160 0
## 306 2 1963 131 262 0 22 67 135 0
## 307 3 1963 134 287 1 33 67 131 0
## 308 4 1963 80 266 1 25 62 125 0
## 309 5 1963 126 288 0 31 62 150 0
## 310 6 1963 136 295 0 23 64 147 0
## 311 7 1963 135 284 1 19 60 95 0
## 312 8 1963 129 276 0 31 63 125 0
## 313 1 1964 110 278 0 23 63 177 0
## 314 2 1964 151 286 1 22 66 130 0
## 315 3 1964 120 280 0 31 61 111 0
## 316 4 1964 109 286 0 24 64 125 1
## 317 5 1964 126 282 1 23 66 115 1
## 318 6 1964 101 278 0 27 61 99 1
## 319 7 1964 114 290 1 21 65 120 1
## 320 8 1964 155 290 0 26 66 129 1
## 321 1 1965 111 270 0 27 61 119 0
## 322 2 1965 88 273 0 20 66 110 1
## 323 3 1965 123 296 1 26 64 110 1
## 324 4 1965 111 306 0 27 61 102 0
## 325 5 1965 127 279 0 26 67 155 1
## 326 6 1965 100 275 1 25 64 125 0
## 327 7 1965 124 288 1 21 64 116 1
## 328 8 1965 109 274 0 33 69 144 1
## 329 1 1966 87 248 0 37 65 130 1
## 330 2 1966 137 284 0 30 67 110 0
## 331 3 1966 102 275 0 43 64 160 0
## 332 4 1966 143 292 1 21 65 125 0
## 333 5 1966 98 275 0 25 65 112 1
## 334 6 1966 109 272 0 41 66 154 1
## 335 7 1966 115 262 1 23 64 136 1
## 336 8 1966 80 262 1 31 61 100 1
## 337 1 1967 143 274 0 27 63 110 1
## 338 2 1967 127 289 0 23 67 140 0
## 339 3 1967 55 204 0 35 65 140 0
## 340 4 1967 136 290 0 26 66 135 0
## 341 5 1967 127 288 1 21 66 130 0
## 342 6 1967 117 281 1 21 70 141 1
## 343 7 1967 143 281 0 28 65 135 1
## 344 8 1967 125 273 0 30 64 145 0
## 345 1 1968 155 294 0 32 66 150 0
## 346 2 1968 96 278 1 18 60 120 1
## 347 3 1968 103 276 1 19 63 149 1
## 348 4 1968 110 285 1 19 64 130 0
## 349 5 1968 129 299 0 22 68 145 0
## 350 6 1968 88 252 1 21 60 115 1
## 351 7 1968 113 287 1 29 70 145 1
## 352 8 1968 94 284 0 24 63 104 1
## 353 1 1969 110 272 0 25 60 90 0
## 354 2 1969 129 281 0 31 67 155 0
## 355 3 1969 123 283 0 21 65 110 0
## 356 4 1969 98 257 0 29 66 130 1
## 357 5 1969 131 292 1 22 64 124 1
## 358 6 1969 95 270 0 35 65 135 1
## 359 7 1969 109 244 1 21 63 102 1
## 360 8 1969 148 281 0 27 63 110 1
## 361 1 1970 122 275 0 26 66 147 0
## 362 2 1970 128 288 1 26 65 114 0
## 363 3 1970 105 270 1 27 65 134 1
## 364 4 1970 108 305 1 24 65 112 0
## 365 5 1970 132 289 1 19 66 145 0
## 366 6 1970 127 291 1 24 66 135 1
## 367 7 1970 103 278 0 30 60 87 1
## 368 8 1970 73 277 0 29 65 145 0
## 369 1 1971 145 291 0 26 63 119 1
## 370 2 1971 85 255 0 24 68 159 0
## 371 3 1971 138 289 0 33 65 155 0
## 372 4 1971 101 295 0 18 62 145 1
## 373 5 1971 127 280 0 27 62 118 0
## 374 6 1971 107 293 0 20 65 155 1
## 375 7 1971 118 276 0 34 64 116 0
## 376 8 1971 123 267 1 19 66 132 1
## 377 1 1972 115 258 0 26 62 130 0
## 378 2 1972 111 281 1 27 64 112 0
## 379 3 1972 128 281 0 28 63 150 0
## 380 4 1972 71 281 0 32 60 117 1
## 381 5 1972 99 313 1 34 59 100 1
## 382 6 1972 126 262 0 37 66 135 1
## 383 7 1972 127 290 0 27 65 121 0
## 384 8 1972 65 232 0 24 66 125 1
## 385 1 1973 108 283 0 31 65 148 1
## 386 2 1973 124 275 0 28 61 116 0
## 387 3 1973 139 285 0 30 65 129 1
## 388 4 1973 124 292 0 29 68 176 1
## 389 5 1973 115 290 0 30 64 140 1
## 390 6 1973 98 278 0 27 63 110 1
## 391 7 1973 132 270 0 27 65 126 0
## 392 8 1973 118 279 1 21 64 108 0
## 393 1 1974 102 282 0 28 61 110 0
## 394 2 1974 112 292 1 28 62 110 1
## 395 3 1974 104 288 1 27 61 122 1
## 396 4 1974 106 276 0 30 66 130 0
## 397 5 1974 145 290 1 24 67 125 0
## 398 6 1974 96 241 0 23 64 130 1
## 399 7 1974 113 275 1 27 60 100 0
## 400 8 1974 102 283 0 39 60 119 0
## 401 1 1975 143 286 0 31 64 126 0
## 402 2 1975 115 281 0 28 61 128 1
## 403 3 1975 159 296 1 27 64 112 0
## 404 4 1975 101 278 0 25 62 112 1
## 405 5 1975 102 249 1 23 67 134 1
## 406 6 1975 104 282 0 24 63 144 0
## 407 7 1975 128 265 0 24 67 120 0
## 408 8 1975 120 280 0 24 61 118 0
## 409 1 1976 146 267 0 30 67 132 0
## 410 2 1976 72 271 0 39 61 136 0
## 411 3 1976 118 276 0 29 62 130 1
## 412 4 1976 100 277 0 31 62 100 1
## 413 5 1976 136 299 0 29 64 115 0
## 414 6 1976 133 273 1 33 63 135 0
## 415 7 1976 130 291 0 30 65 150 1
## 416 8 1976 108 270 1 21 65 130 1
## 417 1 1977 124 275 0 22 60 130 0
## 418 2 1977 122 281 1 24 65 137 1
## 419 3 1977 99 285 0 25 69 128 1
## 420 4 1977 104 269 0 35 63 110 1
## 421 5 1977 121 282 0 22 66 133 0
## 422 6 1977 93 267 0 25 63 135 1
## 423 7 1977 125 281 1 21 65 110 0
## 424 8 1977 122 280 1 45 62 128 0
## 425 1 1978 124 278 0 26 70 145 1
## 426 2 1978 116 291 0 26 66 153 0
## 427 3 1978 144 281 0 20 63 120 0
## 428 4 1978 117 270 0 24 67 135 1
## 429 5 1978 120 286 0 25 62 105 0
## 430 6 1978 101 280 1 24 65 123 1
## 431 7 1978 117 297 0 38 65 129 0
## 432 8 1978 103 268 0 32 62 97 1
## 433 1 1979 145 257 0 33 65 140 0
## 434 2 1979 127 272 0 20 64 130 1
## 435 3 1979 121 270 0 25 62 108 1
## 436 4 1979 117 267 0 29 65 120 1
## 437 5 1979 118 261 0 26 60 104 0
## 438 6 1979 118 277 0 21 64 155 0
## 439 7 1979 141 277 0 38 66 162 0
## 440 8 1979 105 312 0 41 61 115 1
## 441 1 1980 106 273 0 28 60 116 0
## 442 2 1980 90 266 0 23 61 99 1
## 443 3 1980 117 265 1 24 66 98 0
## 444 4 1980 149 279 0 25 67 135 0
## 445 5 1980 127 304 1 26 62 105 0
## 446 6 1980 130 289 0 21 61 130 1
## 447 7 1980 130 270 1 19 66 130 0
## 448 8 1980 126 273 1 25 68 135 0
## 449 1 1981 75 232 0 33 61 110 0
## 450 2 1981 99 273 1 27 59 115 0
## 452 4 1981 135 284 0 25 66 123 0
## 453 5 1981 132 281 1 24 63 117 0
## 454 6 1981 125 288 0 22 63 128 1
## 455 7 1981 139 299 1 20 67 112 0
## 456 8 1981 145 316 0 22 67 142 0
## 457 1 1982 107 273 0 24 61 96 0
## 458 2 1982 144 307 1 26 66 125 0
## 459 3 1982 105 281 1 19 61 130 0
## 460 4 1982 110 283 1 21 66 129 0
## 461 5 1982 102 258 1 22 65 135 0
## 462 6 1982 140 291 1 19 65 122 0
## 463 7 1982 130 283 0 32 65 118 0
## 464 8 1982 139 293 0 34 66 131 0
## 465 1 1983 124 288 0 22 67 118 0
## 466 2 1983 138 280 1 30 65 175 0
## 467 3 1983 125 283 0 37 63 145 1
## 468 4 1983 121 276 0 31 67 130 0
## 469 5 1983 143 279 0 39 65 129 1
## 470 6 1983 115 290 1 19 65 118 0
## 471 7 1983 113 289 1 26 59 91 0
## 472 8 1983 124 290 0 26 65 165 0
## 473 1 1984 122 280 0 23 65 125 1
## 474 2 1984 58 245 0 34 64 156 1
## 476 4 1984 142 285 1 24 66 136 0
## 477 5 1984 118 277 0 25 62 120 0
## 478 6 1984 130 293 0 26 63 123 0
## 479 7 1984 77 238 1 23 63 103 1
## 480 8 1984 121 282 0 30 65 122 0
## 481 1 1985 101 245 0 23 63 130 1
## 482 2 1985 109 265 1 24 63 107 1
## 483 3 1985 101 273 0 39 60 113 0
## 484 4 1985 104 260 0 33 64 145 0
## 485 5 1985 102 286 1 22 64 140 0
## 486 6 1985 114 277 1 31 64 125 0
## 487 7 1985 62 228 0 24 61 107 0
## 488 8 1985 126 299 1 21 60 114 0
## 489 1 1986 128 283 0 28 63 125 1
## 490 2 1986 110 277 1 19 62 160 0
## 491 3 1986 105 277 1 25 64 156 0
## 492 4 1986 138 296 0 34 66 120 0
## 493 5 1986 163 280 0 35 69 139 0
## 494 6 1986 105 278 0 21 64 120 0
## 495 7 1986 93 245 0 33 61 100 1
## 497 1 1987 104 282 0 36 65 115 1
## 498 2 1987 129 278 0 27 63 128 0
## 499 3 1987 110 281 0 27 60 110 0
## 500 4 1987 112 278 1 21 63 120 0
## 501 5 1987 132 294 0 32 64 116 0
## 502 6 1987 101 289 1 31 60 125 0
## 503 7 1987 109 275 1 37 63 112 1
## 504 8 1987 114 277 1 19 63 107 0
## 505 1 1988 97 246 0 37 63 150 0
## 506 2 1988 150 284 0 40 67 130 0
## 507 3 1988 100 270 1 21 65 132 1
## 508 4 1988 117 293 0 39 60 120 1
## 509 5 1988 116 276 0 33 61 180 0
## 510 6 1988 132 286 0 26 67 122 1
## 511 7 1988 145 283 0 27 65 125 1
## 512 8 1988 118 272 0 23 64 113 0
## 513 1 1989 137 274 0 26 69 137 1
## 514 2 1989 128 279 0 27 66 135 0
## 515 3 1989 98 284 0 29 68 140 0
## 516 4 1989 109 282 0 25 62 106 1
## 517 5 1989 138 288 1 19 66 124 0
## 518 6 1989 112 252 0 37 64 162 0
## 519 7 1989 92 224 0 19 63 134 1
## 520 8 1989 127 295 0 36 65 145 0
## 521 1 1990 103 273 0 31 63 170 1
## 522 2 1990 142 284 1 31 66 137 1
## 523 3 1990 127 276 0 37 64 159 0
## 524 4 1990 131 266 1 28 67 135 0
## 525 5 1990 139 279 0 20 64 143 0
## 526 6 1990 69 232 0 31 59 103 1
## 527 7 1990 120 281 0 26 61 115 0
## 528 8 1990 117 290 1 22 67 110 0
## 529 1 1991 142 276 0 38 63 170 0
## 530 2 1991 115 268 1 31 64 125 0
## 531 3 1991 117 324 0 22 62 164 1
## 532 4 1991 120 273 0 29 64 130 1
## 533 5 1991 132 298 1 23 61 137 0
## 534 6 1991 114 264 0 26 63 110 1
## 535 7 1991 135 284 0 39 67 141 0
## 536 8 1991 137 277 0 41 65 126 0
## 537 1 1992 130 289 0 27 66 130 0
## 538 2 1992 108 283 0 35 62 108 0
## 539 3 1992 122 278 0 37 68 114 0
## 540 4 1992 116 270 0 29 63 132 0
## 541 5 1992 87 282 0 27 63 104 1
## 542 6 1992 123 267 0 29 63 111 1
## 543 7 1992 113 287 0 36 63 118 0
## 544 8 1992 133 292 0 29 65 135 0
## 545 1 1993 156 292 0 26 63 118 0
## 546 2 1993 139 281 0 27 63 137 0
## 547 3 1993 122 273 1 23 64 130 1
## 548 4 1993 140 290 0 23 65 110 0
## 549 5 1993 131 297 0 30 67 132 0
## 550 6 1993 129 284 1 20 66 130 1
## 551 7 1993 126 251 1 28 64 123 0
## 552 8 1993 100 264 0 28 60 111 1
## 553 1 1994 133 284 0 25 66 125 1
## 554 2 1994 115 275 0 25 61 155 1
## 555 3 1994 118 281 1 36 66 140 1
## 556 4 1994 103 273 1 22 64 110 1
## 557 5 1994 130 282 0 26 67 147 1
## 558 6 1994 114 283 1 15 64 117 1
## 559 7 1994 143 270 1 27 70 148 0
## 560 8 1994 107 273 1 26 65 135 0
## 561 1 1995 120 274 0 24 62 120 0
## 562 2 1995 136 288 0 23 62 217 0
## 563 3 1995 137 303 1 23 66 127 1
## 564 4 1995 120 279 1 23 67 135 0
## 565 5 1995 123 290 0 28 66 107 1
## 566 6 1995 115 290 0 31 62 95 0
## 567 7 1995 128 282 1 25 64 125 0
## 568 8 1995 115 276 1 20 62 105 1
## 569 1 1996 91 270 0 24 60 149 1
## 570 2 1996 163 289 1 25 64 126 1
## 571 3 1996 120 275 0 32 63 115 1
## 572 4 1996 139 260 1 32 64 127 0
## 573 5 1996 115 276 1 18 63 110 0
## 574 6 1996 98 272 1 35 64 129 0
## 575 7 1996 98 262 0 22 67 120 0
## 576 8 1996 91 292 1 26 61 113 1
## 577 1 1997 127 274 0 21 62 110 0
## 578 2 1997 131 285 0 26 64 130 0
## 579 3 1997 143 285 0 27 68 185 0
## 580 4 1997 123 254 0 26 62 130 1
## 581 5 1997 116 272 0 27 64 130 1
## 582 6 1997 128 283 0 27 67 126 0
## 583 7 1997 110 306 1 32 61 122 0
## 584 8 1997 112 287 0 27 64 110 1
## 585 1 1998 153 286 0 26 63 107 1
## 586 2 1998 77 238 0 38 67 135 1
## 587 3 1998 108 270 0 29 67 124 1
## 588 4 1998 104 280 1 23 64 107 1
## 591 7 1998 162 284 0 27 64 126 0
## 592 8 1998 125 289 1 31 61 120 0
## 593 1 1999 121 276 0 39 63 130 0
## 594 2 1999 124 283 1 33 67 156 1
## 595 3 1999 131 284 1 19 61 114 1
## 596 4 1999 111 270 0 22 59 103 0
## 597 5 1999 125 279 1 19 67 135 0
## 598 6 1999 154 288 0 25 65 147 0
## 599 7 1999 116 292 1 20 65 118 0
## 600 8 1999 157 291 0 33 65 121 0
## 601 1 2000 120 277 0 27 63 126 0
## 602 2 2000 104 270 1 26 62 115 0
## 603 3 2000 110 277 0 36 61 116 0
## 604 4 2000 122 277 0 32 63 157 1
## 605 5 2000 144 282 0 33 66 155 1
## 606 6 2000 127 247 1 21 63 140 0
## 607 7 2000 128 284 0 23 62 110 0
## 608 8 2000 108 256 1 26 67 130 0
## 609 1 2001 99 272 0 27 62 103 1
## 610 2 2001 102 267 1 24 61 109 1
## 611 3 2001 105 276 0 20 62 112 1
## 612 4 2001 116 271 1 30 67 144 1
## 613 5 2001 123 269 0 26 67 132 0
## 614 6 2001 131 263 0 29 64 180 1
## 615 7 2001 111 275 1 18 61 108 1
## 616 8 2001 130 279 0 31 62 122 0
## 617 1 2002 149 293 0 35 65 116 0
## 618 2 2002 94 268 0 30 62 105 1
## 619 3 2002 125 255 0 23 63 133 0
## 620 4 2002 129 277 0 27 68 130 1
## 621 5 2002 120 276 0 23 66 114 0
## 622 6 2002 129 288 0 28 59 102 0
## 623 7 2002 137 280 0 34 60 107 0
## 624 8 2002 135 289 0 25 64 127 0
## 625 1 2003 129 280 0 23 64 104 0
## 626 2 2003 158 295 1 37 70 137 0
## 627 3 2003 78 258 1 24 66 115 1
## 628 4 2003 133 292 0 30 65 112 1
## 629 5 2003 140 251 0 28 63 210 0
## 630 6 2003 114 286 1 22 64 116 1
## 631 7 2003 100 264 0 29 64 120 1
## 632 8 2003 123 277 0 24 66 122 0
## 633 1 2004 139 292 0 25 68 135 0
## 634 2 2004 112 275 1 21 68 143 1
## 635 3 2004 114 289 0 36 60 115 0
## 636 4 2004 110 277 0 25 61 130 0
## 637 5 2004 120 271 1 17 64 142 1
## 638 6 2004 110 280 0 29 62 110 1
## 639 7 2004 160 271 0 32 67 215 0
## 640 8 2004 100 281 0 24 61 115 0
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
# Lấy quan sát về khu vực, chiều cao, cân nặng từ bộ dữ liệu d
t2 <- select(d,I,H,W)
t2
## I H W
## 1 1 62 100
## 2 2 62 138
## 3 3 64 123
## 4 4 62 105
## 5 5 67 130
## 6 6 59 102
## 7 7 64 101
## 8 8 65 145
## 9 1 64 135
## 10 2 67 170
## 11 3 68 178
## 12 4 65 122
## 13 5 65 130
## 14 6 61 145
## 15 7 63 113
## 16 8 59 140
## 17 1 64 115
## 18 2 64 110
## 19 3 64 120
## 20 4 66 140
## 21 5 63 103
## 22 6 62 102
## 23 7 61 130
## 24 8 62 127
## 25 1 67 125
## 26 2 65 120
## 27 3 67 134
## 28 4 63 104
## 29 5 64 110
## 30 6 64 150
## 31 7 65 137
## 32 8 64 120
## 33 1 62 93
## 34 2 64 150
## 35 3 61 121
## 36 4 64 125
## 37 5 66 117
## 38 6 53 110
## 39 7 61 112
## 40 8 67 185
## 41 1 62 178
## 42 2 65 130
## 43 3 58 102
## 44 4 66 132
## 45 5 59 122
## 46 6 68 140
## 47 7 65 127
## 48 8 61 130
## 49 1 65 140
## 50 2 62 117
## 51 3 63 115
## 52 4 60 102
## 53 5 65 110
## 54 6 66 130
## 55 7 62 140
## 56 8 62 135
## 57 1 62 125
## 58 2 64 107
## 59 3 63 116
## 60 4 67 140
## 61 5 63 113
## 62 6 63 120
## 63 7 62 110
## 64 8 70 145
## 65 1 66 136
## 66 2 66 191
## 67 3 66 170
## 68 4 61 103
## 69 5 63 128
## 70 6 66 148
## 71 7 63 145
## 72 8 67 130
## 73 1 68 120
## 74 2 63 185
## 75 3 67 160
## 76 4 63 119
## 77 5 67 132
## 78 6 66 135
## 79 7 66 140
## 80 8 68 150
## 81 1 64 124
## 82 2 66 150
## 83 3 64 109
## 84 4 66 165
## 85 5 64 104
## 86 6 62 108
## 87 7 61 89
## 88 8 63 109
## 89 1 63 128
## 90 2 62 112
## 91 3 60 112
## 92 4 62 115
## 93 5 62 159
## 94 6 64 111
## 95 7 62 135
## 96 8 64 110
## 97 1 61 99
## 98 2 66 127
## 99 3 67 120
## 100 4 67 156
## 101 5 64 115
## 102 6 67 138
## 103 7 65 160
## 104 8 66 142
## 105 1 63 154
## 106 2 66 110
## 107 3 65 133
## 108 4 65 150
## 109 5 62 115
## 110 6 65 130
## 111 7 65 158
## 112 8 64 125
## 113 1 63 130
## 114 2 66 140
## 115 3 65 110
## 116 4 65 120
## 117 5 63 112
## 118 6 61 120
## 119 7 67 145
## 120 8 65 132
## 121 1 65 125
## 122 2 66 210
## 123 3 69 130
## 124 4 66 135
## 125 5 64 110
## 126 6 65 140
## 127 7 64 127
## 128 8 63 110
## 129 1 60 125
## 130 2 62 111
## 131 3 65 122
## 132 4 65 160
## 133 5 66 130
## 134 6 67 127
## 135 7 67 135
## 136 8 61 110
## 137 1 68 170
## 138 2 64 124
## 139 3 64 122
## 140 4 67 140
## 141 5 64 145
## 142 6 67 140
## 143 7 63 150
## 144 8 64 120
## 145 1 66 142
## 146 2 65 130
## 147 3 61 121
## 148 4 66 142
## 149 5 66 147
## 150 6 63 130
## 151 7 64 170
## 152 8 67 130
## 153 1 56 93
## 154 2 64 133
## 155 3 65 125
## 156 4 59 140
## 157 5 66 130
## 158 6 65 115
## 159 7 63 107
## 160 8 64 116
## 161 1 67 175
## 162 2 64 160
## 163 3 59 105
## 164 4 62 118
## 165 5 63 112
## 166 6 66 135
## 167 7 70 145
## 168 8 60 90
## 169 1 66 145
## 170 2 65 125
## 171 3 64 112
## 172 4 63 103
## 173 5 62 170
## 174 6 66 127
## 175 7 58 130
## 176 8 69 130
## 177 1 68 182
## 178 2 66 143
## 179 3 68 130
## 180 4 68 146
## 181 5 62 122
## 182 6 63 124
## 183 7 63 115
## 184 8 63 125
## 185 1 65 122
## 186 2 61 125
## 187 3 66 145
## 188 4 66 126
## 189 5 64 125
## 190 6 62 118
## 191 7 61 120
## 192 8 65 112
## 193 1 65 112
## 194 2 65 150
## 195 3 64 145
## 196 4 64 135
## 197 5 62 122
## 198 6 64 125
## 199 7 64 113
## 200 8 64 127
## 201 1 58 106
## 202 2 62 100
## 203 3 67 124
## 204 4 71 189
## 205 5 68 136
## 206 6 67 165
## 207 7 61 135
## 208 8 65 132
## 209 1 65 175
## 210 2 63 129
## 211 3 63 113
## 212 4 65 157
## 213 5 67 143
## 214 6 67 137
## 215 7 66 125
## 216 8 65 128
## 217 1 65 125
## 218 2 64 150
## 219 3 64 120
## 220 4 63 108
## 221 5 67 135
## 222 6 66 118
## 223 7 54 156
## 224 8 64 115
## 225 1 66 132
## 226 2 67 135
## 227 3 65 135
## 228 4 67 135
## 229 5 65 130
## 230 6 64 140
## 231 7 66 140
## 232 8 67 116
## 233 1 61 105
## 234 2 67 109
## 235 3 66 118
## 236 4 64 122
## 237 5 61 121
## 238 6 61 150
## 239 7 66 130
## 240 8 68 145
## 241 1 61 146
## 242 2 65 125
## 243 3 66 133
## 244 4 68 148
## 245 5 60 108
## 246 6 66 149
## 247 7 65 103
## 248 8 63 119
## 249 1 66 123
## 250 2 63 118
## 251 3 64 122
## 252 4 71 152
## 253 5 67 128
## 254 6 65 127
## 255 7 68 120
## 256 8 63 135
## 257 1 60 105
## 258 2 63 110
## 259 3 65 125
## 260 4 63 140
## 261 5 62 105
## 262 6 65 138
## 263 7 69 151
## 264 8 66 117
## 265 1 65 120
## 266 2 63 132
## 267 3 62 126
## 268 4 60 100
## 269 5 65 125
## 270 6 60 93
## 271 7 63 103
## 272 8 65 125
## 273 1 67 130
## 274 2 63 125
## 275 3 64 112
## 276 4 59 105
## 277 5 60 109
## 278 6 61 125
## 279 7 62 109
## 280 8 65 117
## 281 1 63 115
## 282 2 68 181
## 283 3 65 137
## 284 4 60 105
## 285 5 67 100
## 286 6 65 123
## 287 7 66 145
## 288 8 67 120
## 289 1 63 92
## 290 2 61 123
## 291 3 63 115
## 292 4 61 110
## 293 5 66 145
## 294 6 66 111
## 295 7 63 150
## 296 8 65 130
## 297 1 65 101
## 298 2 66 117
## 299 3 69 135
## 300 4 64 122
## 301 5 67 137
## 302 6 67 133
## 303 7 66 180
## 304 8 60 120
## 305 1 61 160
## 306 2 67 135
## 307 3 67 131
## 308 4 62 125
## 309 5 62 150
## 310 6 64 147
## 311 7 60 95
## 312 8 63 125
## 313 1 63 177
## 314 2 66 130
## 315 3 61 111
## 316 4 64 125
## 317 5 66 115
## 318 6 61 99
## 319 7 65 120
## 320 8 66 129
## 321 1 61 119
## 322 2 66 110
## 323 3 64 110
## 324 4 61 102
## 325 5 67 155
## 326 6 64 125
## 327 7 64 116
## 328 8 69 144
## 329 1 65 130
## 330 2 67 110
## 331 3 64 160
## 332 4 65 125
## 333 5 65 112
## 334 6 66 154
## 335 7 64 136
## 336 8 61 100
## 337 1 63 110
## 338 2 67 140
## 339 3 65 140
## 340 4 66 135
## 341 5 66 130
## 342 6 70 141
## 343 7 65 135
## 344 8 64 145
## 345 1 66 150
## 346 2 60 120
## 347 3 63 149
## 348 4 64 130
## 349 5 68 145
## 350 6 60 115
## 351 7 70 145
## 352 8 63 104
## 353 1 60 90
## 354 2 67 155
## 355 3 65 110
## 356 4 66 130
## 357 5 64 124
## 358 6 65 135
## 359 7 63 102
## 360 8 63 110
## 361 1 66 147
## 362 2 65 114
## 363 3 65 134
## 364 4 65 112
## 365 5 66 145
## 366 6 66 135
## 367 7 60 87
## 368 8 65 145
## 369 1 63 119
## 370 2 68 159
## 371 3 65 155
## 372 4 62 145
## 373 5 62 118
## 374 6 65 155
## 375 7 64 116
## 376 8 66 132
## 377 1 62 130
## 378 2 64 112
## 379 3 63 150
## 380 4 60 117
## 381 5 59 100
## 382 6 66 135
## 383 7 65 121
## 384 8 66 125
## 385 1 65 148
## 386 2 61 116
## 387 3 65 129
## 388 4 68 176
## 389 5 64 140
## 390 6 63 110
## 391 7 65 126
## 392 8 64 108
## 393 1 61 110
## 394 2 62 110
## 395 3 61 122
## 396 4 66 130
## 397 5 67 125
## 398 6 64 130
## 399 7 60 100
## 400 8 60 119
## 401 1 64 126
## 402 2 61 128
## 403 3 64 112
## 404 4 62 112
## 405 5 67 134
## 406 6 63 144
## 407 7 67 120
## 408 8 61 118
## 409 1 67 132
## 410 2 61 136
## 411 3 62 130
## 412 4 62 100
## 413 5 64 115
## 414 6 63 135
## 415 7 65 150
## 416 8 65 130
## 417 1 60 130
## 418 2 65 137
## 419 3 69 128
## 420 4 63 110
## 421 5 66 133
## 422 6 63 135
## 423 7 65 110
## 424 8 62 128
## 425 1 70 145
## 426 2 66 153
## 427 3 63 120
## 428 4 67 135
## 429 5 62 105
## 430 6 65 123
## 431 7 65 129
## 432 8 62 97
## 433 1 65 140
## 434 2 64 130
## 435 3 62 108
## 436 4 65 120
## 437 5 60 104
## 438 6 64 155
## 439 7 66 162
## 440 8 61 115
## 441 1 60 116
## 442 2 61 99
## 443 3 66 98
## 444 4 67 135
## 445 5 62 105
## 446 6 61 130
## 447 7 66 130
## 448 8 68 135
## 449 1 61 110
## 450 2 59 115
## 451 3 65 127
## 452 4 66 123
## 453 5 63 117
## 454 6 63 128
## 455 7 67 112
## 456 8 67 142
## 457 1 61 96
## 458 2 66 125
## 459 3 61 130
## 460 4 66 129
## 461 5 65 135
## 462 6 65 122
## 463 7 65 118
## 464 8 66 131
## 465 1 67 118
## 466 2 65 175
## 467 3 63 145
## 468 4 67 130
## 469 5 65 129
## 470 6 65 118
## 471 7 59 91
## 472 8 65 165
## 473 1 65 125
## 474 2 64 156
## 475 3 62 130
## 476 4 66 136
## 477 5 62 120
## 478 6 63 123
## 479 7 63 103
## 480 8 65 122
## 481 1 63 130
## 482 2 63 107
## 483 3 60 113
## 484 4 64 145
## 485 5 64 140
## 486 6 64 125
## 487 7 61 107
## 488 8 60 114
## 489 1 63 125
## 490 2 62 160
## 491 3 64 156
## 492 4 66 120
## 493 5 69 139
## 494 6 64 120
## 495 7 61 100
## 496 8 67 137
## 497 1 65 115
## 498 2 63 128
## 499 3 60 110
## 500 4 63 120
## 501 5 64 116
## 502 6 60 125
## 503 7 63 112
## 504 8 63 107
## 505 1 63 150
## 506 2 67 130
## 507 3 65 132
## 508 4 60 120
## 509 5 61 180
## 510 6 67 122
## 511 7 65 125
## 512 8 64 113
## 513 1 69 137
## 514 2 66 135
## 515 3 68 140
## 516 4 62 106
## 517 5 66 124
## 518 6 64 162
## 519 7 63 134
## 520 8 65 145
## 521 1 63 170
## 522 2 66 137
## 523 3 64 159
## 524 4 67 135
## 525 5 64 143
## 526 6 59 103
## 527 7 61 115
## 528 8 67 110
## 529 1 63 170
## 530 2 64 125
## 531 3 62 164
## 532 4 64 130
## 533 5 61 137
## 534 6 63 110
## 535 7 67 141
## 536 8 65 126
## 537 1 66 130
## 538 2 62 108
## 539 3 68 114
## 540 4 63 132
## 541 5 63 104
## 542 6 63 111
## 543 7 63 118
## 544 8 65 135
## 545 1 63 118
## 546 2 63 137
## 547 3 64 130
## 548 4 65 110
## 549 5 67 132
## 550 6 66 130
## 551 7 64 123
## 552 8 60 111
## 553 1 66 125
## 554 2 61 155
## 555 3 66 140
## 556 4 64 110
## 557 5 67 147
## 558 6 64 117
## 559 7 70 148
## 560 8 65 135
## 561 1 62 120
## 562 2 62 217
## 563 3 66 127
## 564 4 67 135
## 565 5 66 107
## 566 6 62 95
## 567 7 64 125
## 568 8 62 105
## 569 1 60 149
## 570 2 64 126
## 571 3 63 115
## 572 4 64 127
## 573 5 63 110
## 574 6 64 129
## 575 7 67 120
## 576 8 61 113
## 577 1 62 110
## 578 2 64 130
## 579 3 68 185
## 580 4 62 130
## 581 5 64 130
## 582 6 67 126
## 583 7 61 122
## 584 8 64 110
## 585 1 63 107
## 586 2 67 135
## 587 3 67 124
## 588 4 64 107
## 589 5 67 130
## 590 6 64 175
## 591 7 64 126
## 592 8 61 120
## 593 1 63 130
## 594 2 67 156
## 595 3 61 114
## 596 4 59 103
## 597 5 67 135
## 598 6 65 147
## 599 7 65 118
## 600 8 65 121
## 601 1 63 126
## 602 2 62 115
## 603 3 61 116
## 604 4 63 157
## 605 5 66 155
## 606 6 63 140
## 607 7 62 110
## 608 8 67 130
## 609 1 62 103
## 610 2 61 109
## 611 3 62 112
## 612 4 67 144
## 613 5 67 132
## 614 6 64 180
## 615 7 61 108
## 616 8 62 122
## 617 1 65 116
## 618 2 62 105
## 619 3 63 133
## 620 4 68 130
## 621 5 66 114
## 622 6 59 102
## 623 7 60 107
## 624 8 64 127
## 625 1 64 104
## 626 2 70 137
## 627 3 66 115
## 628 4 65 112
## 629 5 63 210
## 630 6 64 116
## 631 7 64 120
## 632 8 66 122
## 633 1 68 135
## 634 2 68 143
## 635 3 60 115
## 636 4 61 130
## 637 5 64 142
## 638 6 62 110
## 639 7 67 215
## 640 8 61 115
# Lấy những quan sát bao gồm khu vực, tuổi, chiều cao, cân nặng và đáp ứng điều kiện tuổi cao hơn 26 và cân nặng hơn 150 pound
t3 <- filter(d,A > 26 & W > 150 ) %>% select(I,A,H,W)
t3
## I A H W
## 1 2 27 67 170
## 2 3 29 68 178
## 3 8 33 67 185
## 4 1 33 62 178
## 5 2 41 66 191
## 6 3 34 66 170
## 7 3 43 67 160
## 8 4 35 66 165
## 9 5 40 62 159
## 10 4 42 67 156
## 11 1 30 63 154
## 12 7 36 65 158
## 13 4 40 65 160
## 14 1 33 68 170
## 15 1 27 67 175
## 16 2 30 64 160
## 17 5 32 62 170
## 18 1 30 68 182
## 19 4 27 71 189
## 20 7 29 54 156
## 21 7 39 69 151
## 22 2 35 68 181
## 23 7 28 66 180
## 24 1 30 61 160
## 25 3 43 64 160
## 26 6 41 66 154
## 27 2 31 67 155
## 28 3 33 65 155
## 29 4 29 68 176
## 30 7 38 66 162
## 31 2 30 65 175
## 32 2 34 64 156
## 33 5 33 61 180
## 34 6 37 64 162
## 35 1 31 63 170
## 36 3 37 64 159
## 37 1 38 63 170
## 38 3 27 68 185
## 39 6 28 64 175
## 40 2 33 67 156
## 41 4 32 63 157
## 42 5 33 66 155
## 43 6 29 64 180
## 44 5 28 63 210
## 45 7 32 67 215
Tiến hành thực hiện các lệnh để thêm 1 số biến mới từ dữ liệu cũ, như kết quả bên dưới ta đã tạo ra object mới là tcdat với các dữ liệu cũ của d và thêm 5 biến mới là: - cm: là chiều cao với đơn vị là cm - kg: là cân nặng với đơn vị là kg - bmi: là chỉ số bmi được tính từ cm và kg - chieucao: đánh giá chiều cao của các đối tượng - tiêu chuẩn: đánh giá mức độ cân nặng phù hợp theo tiêu chuẩn bmi.
# Thêm biến chiều cao (cm), cân nặng (kg) và biến chỉ số bmi
tcdat <- mutate(d, cm = H*2.54) %>% mutate(,kg=W*0.453592) %>% mutate(, bmi=kg/((cm/100)^2))
tcdat
## I y B G P A H W S cm kg bmi
## 1 1 1925 120 284 0 27 62 100 0 157.48 45.35920 18.29004
## 2 2 1925 112 267 1 22 62 138 0 157.48 62.59570 25.24025
## 3 3 1925 119 286 0 26 64 123 1 162.56 55.79182 21.11267
## 4 4 1925 124 287 0 27 62 105 1 157.48 47.62716 19.20454
## 5 5 1925 105 276 0 22 67 130 0 170.18 58.96696 20.36065
## 6 6 1925 120 289 1 31 59 102 0 149.86 46.26638 20.60128
## 7 7 1925 82 274 0 31 64 101 1 162.56 45.81279 17.33642
## 8 8 1925 111 278 0 29 65 145 1 165.10 65.77084 24.12900
## 9 1 1926 113 282 0 33 64 135 0 162.56 61.23492 23.17244
## 10 2 1926 134 297 0 27 67 170 1 170.18 77.11064 26.62547
## 11 3 1926 97 279 0 29 68 178 1 172.72 80.73938 27.06451
## 12 4 1926 125 292 0 22 65 122 0 165.10 55.33822 20.30164
## 13 5 1926 93 246 0 37 65 130 0 165.10 58.96696 21.63289
## 14 6 1926 146 280 0 23 61 145 0 154.94 65.77084 27.39721
## 15 7 1926 100 274 0 24 63 113 0 160.02 51.25590 20.01683
## 16 8 1926 103 250 0 40 59 140 0 149.86 63.50288 28.27626
## 17 1 1927 128 279 0 28 64 115 1 162.56 52.16308 19.73949
## 18 2 1927 145 308 0 35 64 110 1 162.56 49.89512 18.88125
## 19 3 1927 99 252 0 21 64 120 0 162.56 54.43104 20.59772
## 20 4 1927 110 262 0 25 66 140 0 167.64 63.50288 22.59634
## 21 5 1927 122 281 0 42 63 103 1 160.02 46.71998 18.24543
## 22 6 1927 112 283 1 21 62 102 1 157.48 46.26638 18.65584
## 23 7 1927 114 271 0 32 61 130 0 154.94 58.96696 24.56301
## 24 8 1927 114 276 0 26 62 127 0 157.48 57.60618 23.22835
## 25 1 1928 108 282 0 23 67 125 1 170.18 56.69900 19.57755
## 26 2 1928 116 295 0 32 65 120 0 165.10 54.43104 19.96882
## 27 3 1928 115 264 1 23 67 134 1 170.18 60.78133 20.98713
## 28 4 1928 125 279 0 23 63 104 1 160.02 47.17357 18.42257
## 29 5 1928 133 293 0 23 64 110 1 162.56 49.89512 18.88125
## 30 6 1928 132 278 0 20 64 150 1 162.56 68.03880 25.74716
## 31 7 1928 97 269 0 20 65 137 1 165.10 62.14210 22.79774
## 32 8 1928 75 247 0 36 64 120 1 162.56 54.43104 20.59772
## 33 1 1929 136 286 0 25 62 93 0 157.48 42.18406 17.00973
## 34 2 1929 126 278 0 26 64 150 1 162.56 68.03880 25.74716
## 35 3 1929 139 284 0 37 61 121 0 154.94 54.88463 22.86250
## 36 4 1929 138 294 0 40 64 125 0 162.56 56.69900 21.45596
## 37 5 1929 130 296 1 22 66 117 1 167.64 53.07026 18.88408
## 38 6 1929 146 263 0 39 53 110 1 134.62 49.89512 27.53207
## 39 7 1929 126 298 0 24 61 112 0 154.94 50.80230 21.16198
## 40 8 1929 169 296 0 33 67 185 0 170.18 83.91452 28.97478
## 41 1 1930 138 244 0 33 62 178 0 157.48 80.73938 32.55627
## 42 2 1930 111 285 0 29 65 130 0 165.10 58.96696 21.63289
## 43 3 1930 144 304 1 27 58 102 1 147.32 46.26638 21.31779
## 44 4 1930 142 284 0 39 66 132 0 167.64 59.87414 21.30512
## 45 5 1930 104 307 0 24 59 122 0 149.86 55.33822 24.64074
## 46 6 1930 122 275 0 30 68 140 0 172.72 63.50288 21.28669
## 47 7 1930 122 275 1 20 65 127 0 165.10 57.60618 21.13367
## 48 8 1930 94 271 0 36 61 130 1 154.94 58.96696 24.56301
## 49 1 1931 132 245 0 23 65 140 0 165.10 63.50288 23.29696
## 50 2 1931 126 282 0 33 62 117 0 157.48 53.07026 21.39934
## 51 3 1931 99 270 0 22 63 115 1 160.02 52.16308 20.37111
## 52 4 1931 115 278 0 23 60 102 1 152.40 46.26638 19.92029
## 53 5 1931 106 278 0 31 65 110 1 165.10 49.89512 18.30476
## 54 6 1931 128 292 0 32 66 130 0 167.64 58.96696 20.98232
## 55 7 1931 152 295 0 39 62 140 0 157.48 63.50288 25.60605
## 56 8 1931 150 287 0 36 62 135 0 157.48 61.23492 24.69155
## 57 1 1932 120 289 0 25 62 125 0 157.48 56.69900 22.86255
## 58 2 1932 109 291 0 39 64 107 0 162.56 48.53434 18.36630
## 59 3 1932 105 280 1 22 63 116 0 160.02 52.61667 20.54825
## 60 4 1932 102 280 0 38 67 140 0 170.18 63.50288 21.92686
## 61 5 1932 120 281 0 33 63 113 0 160.02 51.25590 20.01683
## 62 6 1932 119 277 0 24 63 120 1 160.02 54.43104 21.25681
## 63 7 1932 116 274 0 21 62 110 1 157.48 49.89512 20.11904
## 64 8 1932 144 248 0 30 70 145 0 177.80 65.77084 20.80510
## 65 1 1933 143 299 0 30 66 136 1 167.64 61.68851 21.95073
## 66 2 1933 136 291 0 41 66 191 0 167.64 86.63607 30.82787
## 67 3 1933 89 275 0 34 66 170 0 167.64 77.11064 27.43841
## 68 4 1933 140 294 0 25 61 103 0 154.94 46.71998 19.46146
## 69 5 1933 118 276 1 18 63 128 0 160.02 58.05978 22.67393
## 70 6 1933 135 278 0 27 66 148 0 167.64 67.13162 23.88756
## 71 7 1933 132 302 0 36 63 145 1 160.02 65.77084 25.68531
## 72 8 1933 144 291 0 28 67 130 0 170.18 58.96696 20.36065
## 73 1 1934 140 351 0 27 68 120 0 172.72 54.43104 18.24574
## 74 2 1934 119 286 0 22 63 185 1 160.02 83.91452 32.77092
## 75 3 1934 129 270 0 43 67 160 0 170.18 72.57472 25.05927
## 76 4 1934 133 276 1 22 63 119 0 160.02 53.97745 21.07967
## 77 5 1934 140 290 1 19 67 132 1 170.18 59.87414 20.67389
## 78 6 1934 129 235 0 24 66 135 0 167.64 61.23492 21.78933
## 79 7 1934 84 260 1 37 66 140 0 167.64 63.50288 22.59634
## 80 8 1934 143 313 0 20 68 150 0 172.72 68.03880 22.80717
## 81 1 1935 144 282 0 32 64 124 1 162.56 56.24541 21.28432
## 82 2 1935 103 267 1 21 66 150 1 167.64 68.03880 24.21037
## 83 3 1935 119 270 1 20 64 109 0 162.56 49.44153 18.70960
## 84 4 1935 127 290 0 35 66 165 0 167.64 74.84268 26.63140
## 85 5 1935 114 268 0 22 64 104 0 162.56 47.17357 17.85136
## 86 6 1935 116 293 1 28 62 108 0 157.48 48.98794 19.75324
## 87 7 1935 119 277 1 18 61 89 1 154.94 40.36969 16.81622
## 88 8 1935 145 304 1 25 63 109 1 160.02 49.44153 19.30827
## 89 1 1936 141 279 0 23 63 128 1 160.02 58.05978 22.67393
## 90 2 1936 124 284 1 17 62 112 0 157.48 50.80230 20.48484
## 91 3 1936 114 291 0 35 60 112 0 152.40 50.80230 21.87326
## 92 4 1936 104 274 1 20 62 115 1 157.48 52.16308 21.03354
## 93 5 1936 116 280 0 40 62 159 0 157.48 72.12113 29.08116
## 94 6 1936 100 275 0 27 64 111 1 162.56 50.34871 19.05290
## 95 7 1936 106 312 0 24 62 135 1 157.48 61.23492 24.69155
## 96 8 1936 121 285 0 34 64 110 0 162.56 49.89512 18.88125
## 97 1 1937 110 281 0 36 61 99 1 154.94 44.90561 18.70568
## 98 2 1937 155 286 0 31 66 127 0 167.64 57.60618 20.49811
## 99 3 1937 106 289 0 28 67 120 1 170.18 54.43104 18.79445
## 100 4 1937 119 275 0 42 67 156 1 170.18 70.76035 24.43278
## 101 5 1937 129 284 0 24 64 115 0 162.56 52.16308 19.73949
## 102 6 1937 138 257 0 38 67 138 0 170.18 62.59570 21.61362
## 103 7 1937 139 291 0 24 65 160 0 165.10 72.57472 26.62510
## 104 8 1937 105 256 0 31 66 142 0 167.64 64.41006 22.91915
## 105 1 1938 114 273 0 30 63 154 0 160.02 69.85317 27.27957
## 106 2 1938 122 282 1 21 66 110 0 167.64 49.89512 17.75427
## 107 3 1938 122 292 1 34 65 133 0 165.10 60.32774 22.13211
## 108 4 1938 152 301 0 29 65 150 0 165.10 68.03880 24.96103
## 109 5 1938 120 286 0 22 62 115 1 157.48 52.16308 21.03354
## 110 6 1938 123 282 0 22 65 130 0 165.10 58.96696 21.63289
## 111 7 1938 103 273 0 36 65 158 1 165.10 71.66754 26.29228
## 112 8 1938 134 286 0 25 64 125 0 162.56 56.69900 21.45596
## 113 1 1939 115 285 0 38 63 130 0 160.02 58.96696 23.02821
## 114 2 1939 113 285 0 26 66 140 0 167.64 63.50288 22.59634
## 115 3 1939 136 261 0 24 65 110 0 165.10 49.89512 18.30476
## 116 4 1939 123 284 1 20 65 120 1 165.10 54.43104 19.96882
## 117 5 1939 127 281 0 24 63 112 1 160.02 50.80230 19.83969
## 118 6 1939 113 288 1 21 61 120 0 154.94 54.43104 22.67355
## 119 7 1939 112 299 0 24 67 145 1 170.18 65.77084 22.70996
## 120 8 1939 129 294 1 21 65 132 0 165.10 59.87414 21.96571
## 121 1 1940 92 255 0 25 65 125 1 165.10 56.69900 20.80086
## 122 2 1940 122 273 0 26 66 210 0 167.64 95.25432 33.89451
## 123 3 1940 121 286 1 22 69 130 1 175.26 58.96696 19.19743
## 124 4 1940 143 273 0 19 66 135 0 167.64 61.23492 21.78933
## 125 5 1940 71 234 0 32 64 110 1 162.56 49.89512 18.88125
## 126 6 1940 129 280 1 24 65 140 1 165.10 63.50288 23.29696
## 127 7 1940 96 276 0 33 64 127 1 162.56 57.60618 21.79926
## 128 8 1940 114 276 0 24 63 110 0 160.02 49.89512 19.48541
## 129 1 1941 115 261 0 33 60 125 1 152.40 56.69900 24.41212
## 130 2 1941 126 293 1 27 62 111 0 157.48 50.34871 20.30194
## 131 3 1941 112 282 0 26 65 122 0 165.10 55.33822 20.30164
## 132 4 1941 131 308 0 40 65 160 0 165.10 72.57472 26.62510
## 133 5 1941 88 274 0 30 66 130 0 167.64 58.96696 20.98232
## 134 6 1941 122 280 0 24 67 127 1 170.18 57.60618 19.89079
## 135 7 1941 102 281 1 19 67 135 1 170.18 61.23492 21.14375
## 136 8 1941 97 265 0 30 61 110 0 154.94 49.89512 20.78409
## 137 1 1942 144 261 0 33 68 170 0 172.72 77.11064 25.84813
## 138 2 1942 116 277 0 41 64 124 1 162.56 56.24541 21.28432
## 139 3 1942 112 266 0 26 64 122 0 162.56 55.33822 20.94102
## 140 4 1942 141 319 1 20 67 140 1 170.18 63.50288 21.92686
## 141 5 1942 122 286 0 23 64 145 0 162.56 65.77084 24.88892
## 142 6 1942 132 281 1 21 67 140 0 170.18 63.50288 21.92686
## 143 7 1942 120 300 0 34 63 150 1 160.02 68.03880 26.57101
## 144 8 1942 160 292 0 28 64 120 0 162.56 54.43104 20.59772
## 145 1 1943 119 288 0 43 66 142 1 167.64 64.41006 22.91915
## 146 2 1943 102 294 0 21 65 130 1 165.10 58.96696 21.63289
## 147 3 1943 123 314 0 22 61 121 1 154.94 54.88463 22.86250
## 148 4 1943 129 277 0 30 66 142 1 167.64 64.41006 22.91915
## 149 5 1943 106 302 1 19 66 147 0 167.64 66.67802 23.72616
## 150 6 1943 120 269 1 40 63 130 0 160.02 58.96696 23.02821
## 151 7 1943 102 338 0 19 64 170 0 162.56 77.11064 29.18011
## 152 8 1943 65 237 0 31 67 130 0 170.18 58.96696 20.36065
## 153 1 1944 105 270 0 22 56 93 0 142.24 42.18406 20.84994
## 154 2 1944 110 181 0 27 64 133 0 162.56 60.32774 22.82914
## 155 3 1944 139 286 0 33 65 125 1 165.10 56.69900 20.80086
## 156 4 1944 113 282 1 36 59 140 0 149.86 63.50288 28.27626
## 157 5 1944 135 285 0 30 66 130 0 167.64 58.96696 20.98232
## 158 6 1944 114 283 1 20 65 115 0 165.10 52.16308 19.13679
## 159 7 1944 97 255 1 22 63 107 1 160.02 48.53434 18.95399
## 160 8 1944 145 288 0 28 64 116 0 162.56 52.61667 19.91113
## 161 1 1945 115 274 0 27 67 175 1 170.18 79.37860 27.40857
## 162 2 1945 133 285 1 30 64 160 0 162.56 72.57472 27.46363
## 163 3 1945 125 290 0 36 59 105 0 149.86 47.62716 21.20719
## 164 4 1945 119 292 0 33 62 118 1 157.48 53.52386 21.58224
## 165 5 1945 107 290 0 26 63 112 0 160.02 50.80230 19.83969
## 166 6 1945 130 280 0 29 66 135 0 167.64 61.23492 21.78933
## 167 7 1945 113 285 0 22 70 145 0 177.80 65.77084 20.80510
## 168 8 1945 95 273 0 23 60 90 0 152.40 40.82328 17.57673
## 169 1 1946 137 287 0 25 66 145 0 167.64 65.77084 23.40335
## 170 2 1946 125 283 0 29 65 125 0 165.10 56.69900 20.80086
## 171 3 1946 105 295 1 20 64 112 1 162.56 50.80230 19.22454
## 172 4 1946 109 295 1 23 63 103 1 160.02 46.71998 18.24543
## 173 5 1946 129 294 0 32 62 170 1 157.48 77.11064 31.09306
## 174 6 1946 117 286 0 32 66 127 1 167.64 57.60618 20.49811
## 175 7 1946 130 297 0 32 58 130 0 147.32 58.96696 27.16973
## 176 8 1946 139 293 1 21 69 130 0 175.26 58.96696 19.19743
## 177 1 1947 122 276 0 30 68 182 0 172.72 82.55374 27.67270
## 178 2 1947 164 286 1 32 66 143 0 167.64 64.86366 23.08055
## 179 3 1947 130 276 0 41 68 130 0 172.72 58.96696 19.76621
## 180 4 1947 104 280 1 27 68 146 1 172.72 66.22443 22.19898
## 181 5 1947 126 274 0 39 62 122 0 157.48 55.33822 22.31384
## 182 6 1947 142 285 0 33 63 124 0 160.02 56.24541 21.96537
## 183 7 1947 97 260 1 25 63 115 1 160.02 52.16308 20.37111
## 184 8 1947 123 288 0 27 63 125 0 160.02 56.69900 22.14251
## 185 1 1948 131 294 0 23 65 122 0 165.10 55.33822 20.30164
## 186 2 1948 133 297 0 36 61 125 0 154.94 56.69900 23.61828
## 187 3 1948 146 294 0 22 66 145 1 167.64 65.77084 23.40335
## 188 4 1948 131 282 1 21 66 126 0 167.64 57.15259 20.33671
## 189 5 1948 116 293 1 26 64 125 0 162.56 56.69900 21.45596
## 190 6 1948 144 273 0 27 62 118 1 157.48 53.52386 21.58224
## 191 7 1948 116 273 0 31 61 120 0 154.94 54.43104 22.67355
## 192 8 1948 109 283 0 23 65 112 1 165.10 50.80230 18.63757
## 193 1 1949 103 261 0 27 65 112 1 165.10 50.80230 18.63757
## 194 2 1949 124 293 1 19 65 150 0 165.10 68.03880 24.96103
## 195 3 1949 133 290 0 21 64 145 0 162.56 65.77084 24.88892
## 196 4 1949 110 293 1 28 64 135 1 162.56 61.23492 23.17244
## 197 5 1949 124 294 0 26 62 122 0 157.48 55.33822 22.31384
## 198 6 1949 127 262 1 32 64 125 0 162.56 56.69900 21.45596
## 199 7 1949 114 266 0 29 64 113 0 162.56 51.25590 19.39619
## 200 8 1949 110 268 0 34 64 127 0 162.56 57.60618 21.79926
## 201 1 1950 146 280 0 26 58 106 0 147.32 48.08075 22.15378
## 202 2 1950 122 306 1 22 62 100 0 157.48 45.35920 18.29004
## 203 3 1950 147 296 1 19 67 124 0 170.18 56.24541 19.42093
## 204 4 1950 148 279 0 27 71 189 0 180.34 85.72889 26.35986
## 205 5 1950 123 281 0 23 68 136 0 172.72 61.68851 20.67850
## 206 6 1950 115 270 0 25 67 165 1 170.18 74.84268 25.84237
## 207 7 1950 127 242 0 17 61 135 1 154.94 61.23492 25.50774
## 208 8 1950 122 296 1 24 65 132 0 165.10 59.87414 21.96571
## 209 1 1951 114 266 0 20 65 175 1 165.10 79.37860 29.12120
## 210 2 1951 121 271 1 34 63 129 1 160.02 58.51337 22.85107
## 211 3 1951 109 269 0 23 63 113 0 160.02 51.25590 20.01683
## 212 4 1951 137 283 1 20 65 157 0 165.10 71.21394 26.12588
## 213 5 1951 145 315 0 39 67 143 1 170.18 64.86366 22.39672
## 214 6 1951 85 258 0 41 67 137 0 170.18 62.14210 21.45700
## 215 7 1951 87 247 1 18 66 125 1 167.64 56.69900 20.17530
## 216 8 1951 115 307 0 34 65 128 1 165.10 58.05978 21.30008
## 217 1 1952 125 292 0 32 65 125 0 165.10 56.69900 20.80086
## 218 2 1952 100 272 0 30 64 150 1 162.56 68.03880 25.74716
## 219 3 1952 122 286 0 23 64 120 1 162.56 54.43104 20.59772
## 220 4 1952 117 283 0 27 63 108 0 160.02 48.98794 19.13113
## 221 5 1952 102 278 0 27 67 135 1 170.18 61.23492 21.14375
## 222 6 1952 99 274 0 28 66 118 1 167.64 53.52386 19.04549
## 223 7 1952 141 281 0 29 54 156 1 137.16 70.76035 37.61275
## 224 8 1952 108 279 1 19 64 115 0 162.56 52.16308 19.73949
## 225 1 1953 114 274 0 28 66 132 1 167.64 59.87414 21.30512
## 226 2 1953 90 266 1 26 67 135 0 170.18 61.23492 21.14375
## 227 3 1953 135 260 0 43 65 135 0 165.10 61.23492 22.46493
## 228 4 1953 115 302 1 22 67 135 0 170.18 61.23492 21.14375
## 229 5 1953 129 293 0 30 65 130 1 165.10 58.96696 21.63289
## 230 6 1953 123 323 1 17 64 140 0 162.56 63.50288 24.03068
## 231 7 1953 144 283 1 25 66 140 0 167.64 63.50288 22.59634
## 232 8 1953 120 287 0 23 67 116 1 170.18 52.61667 18.16797
## 233 1 1954 122 270 0 26 61 105 0 154.94 47.62716 19.83936
## 234 2 1954 128 272 1 18 67 109 0 170.18 49.44153 17.07162
## 235 3 1954 117 272 0 32 66 118 0 167.64 53.52386 19.04549
## 236 4 1954 98 280 0 35 64 122 1 162.56 55.33822 20.94102
## 237 5 1954 98 276 1 22 61 121 0 154.94 54.88463 22.86250
## 238 6 1954 112 281 1 23 61 150 0 154.94 68.03880 28.34194
## 239 7 1954 116 273 0 33 66 130 1 167.64 58.96696 20.98232
## 240 8 1954 131 269 0 36 68 145 0 172.72 65.77084 22.04693
## 241 1 1955 93 278 0 34 61 146 0 154.94 66.22443 27.58615
## 242 2 1955 86 276 1 23 65 125 1 165.10 56.69900 20.80086
## 243 3 1955 138 284 0 30 66 133 1 167.64 60.32774 21.46652
## 244 4 1955 136 303 1 20 68 148 1 172.72 67.13162 22.50307
## 245 5 1955 110 272 0 28 60 108 0 152.40 48.98794 21.09207
## 246 6 1955 68 223 0 32 66 149 1 167.64 67.58521 24.04896
## 247 7 1955 75 265 0 21 65 103 1 165.10 46.71998 17.13991
## 248 8 1955 136 283 1 24 63 119 0 160.02 53.97745 21.07967
## 249 1 1956 130 268 0 30 66 123 0 167.64 55.79182 19.85250
## 250 2 1956 123 282 0 30 63 118 0 160.02 53.52386 20.90253
## 251 3 1956 120 283 0 28 64 122 1 162.56 55.33822 20.94102
## 252 4 1956 121 276 1 23 71 152 1 180.34 68.94598 21.19946
## 253 5 1956 135 282 0 24 67 128 1 170.18 58.05978 20.04741
## 254 6 1956 102 283 1 19 65 127 1 165.10 57.60618 21.13367
## 255 7 1956 138 286 1 28 68 120 0 172.72 54.43104 18.24574
## 256 8 1956 125 290 0 32 63 135 0 160.02 61.23492 23.91391
## 257 1 1957 119 275 0 23 60 105 0 152.40 47.62716 20.50618
## 258 2 1957 87 275 0 28 63 110 1 160.02 49.89512 19.48541
## 259 3 1957 119 273 0 35 65 125 1 165.10 56.69900 20.80086
## 260 4 1957 132 285 1 25 63 140 0 160.02 63.50288 24.79961
## 261 5 1957 101 278 1 20 62 105 0 157.48 47.62716 19.20454
## 262 6 1957 109 273 0 37 65 138 1 165.10 62.59570 22.96415
## 263 7 1957 99 271 0 39 69 151 0 175.26 68.49239 22.29855
## 264 8 1957 96 285 1 20 66 117 1 167.64 53.07026 18.88408
## 265 1 1958 113 281 0 24 65 120 0 165.10 54.43104 19.96882
## 266 2 1958 128 291 1 27 63 132 0 160.02 59.87414 23.38249
## 267 3 1958 118 278 1 19 62 126 0 157.48 57.15259 23.04545
## 268 4 1958 91 264 0 36 60 100 1 152.40 45.35920 19.52969
## 269 5 1958 96 266 0 26 65 125 0 165.10 56.69900 20.80086
## 270 6 1958 102 267 1 25 60 93 1 152.40 42.18406 18.16262
## 271 7 1958 118 293 0 21 63 103 0 160.02 46.71998 18.24543
## 272 8 1958 102 282 1 29 65 125 1 165.10 56.69900 20.80086
## 273 1 1959 134 283 0 22 67 130 0 170.18 58.96696 20.36065
## 274 2 1959 120 288 0 28 63 125 0 160.02 56.69900 22.14251
## 275 3 1959 105 330 0 23 64 112 1 162.56 50.80230 19.22454
## 276 4 1959 119 294 0 34 59 105 0 149.86 47.62716 21.20719
## 277 5 1959 104 276 1 18 60 109 1 152.40 49.44153 21.28737
## 278 6 1959 99 275 0 23 61 125 1 154.94 56.69900 23.61828
## 279 7 1959 97 266 0 24 62 109 0 157.48 49.44153 19.93614
## 280 8 1959 102 288 1 18 65 117 0 165.10 53.07026 19.46960
## 281 1 1960 107 279 0 24 63 115 0 160.02 52.16308 20.37111
## 282 2 1960 125 301 1 35 68 181 0 172.72 82.10015 27.52065
## 283 3 1960 113 306 1 21 65 137 0 165.10 62.14210 22.79774
## 284 4 1960 85 273 0 26 60 105 1 152.40 47.62716 20.50618
## 285 5 1960 100 249 0 24 67 100 0 170.18 45.35920 15.66204
## 286 6 1960 78 256 1 29 65 123 0 165.10 55.79182 20.46804
## 287 7 1960 146 319 0 28 66 145 0 167.64 65.77084 23.40335
## 288 8 1960 112 277 1 22 67 120 0 170.18 54.43104 18.79445
## 289 1 1961 134 288 0 23 63 92 1 160.02 41.73046 16.29689
## 290 2 1961 118 265 0 27 61 123 0 154.94 55.79182 23.24039
## 291 3 1961 148 291 1 21 63 115 0 160.02 52.16308 20.37111
## 292 4 1961 106 271 1 26 61 110 1 154.94 49.89512 20.78409
## 293 5 1961 154 292 0 40 66 145 0 167.64 65.77084 23.40335
## 294 6 1961 128 284 1 19 66 111 1 167.64 50.34871 17.91567
## 295 7 1961 81 285 0 19 63 150 1 160.02 68.03880 26.57101
## 296 8 1961 135 272 0 30 65 130 0 165.10 58.96696 21.63289
## 297 1 1962 122 267 0 27 65 101 1 165.10 45.81279 16.80709
## 298 2 1962 116 284 1 24 66 117 0 167.64 53.07026 18.88408
## 299 3 1962 140 281 1 22 69 135 0 175.26 61.23492 19.93579
## 300 4 1962 132 284 0 29 64 122 0 162.56 55.33822 20.94102
## 301 5 1962 127 293 0 31 67 137 0 170.18 62.14210 21.45700
## 302 6 1962 107 303 1 25 67 133 0 170.18 60.32774 20.83051
## 303 7 1962 110 321 0 28 66 180 0 167.64 81.64656 29.05244
## 304 8 1962 91 266 0 23 60 120 1 152.40 54.43104 23.43563
## 305 1 1963 129 293 0 30 61 160 0 154.94 72.57472 30.23140
## 306 2 1963 131 262 0 22 67 135 0 170.18 61.23492 21.14375
## 307 3 1963 134 287 1 33 67 131 0 170.18 59.42055 20.51727
## 308 4 1963 80 266 1 25 62 125 0 157.48 56.69900 22.86255
## 309 5 1963 126 288 0 31 62 150 0 157.48 68.03880 27.43505
## 310 6 1963 136 295 0 23 64 147 0 162.56 66.67802 25.23221
## 311 7 1963 135 284 1 19 60 95 0 152.40 43.09124 18.55321
## 312 8 1963 129 276 0 31 63 125 0 160.02 56.69900 22.14251
## 313 1 1964 110 278 0 23 63 177 0 160.02 80.28578 31.35380
## 314 2 1964 151 286 1 22 66 130 0 167.64 58.96696 20.98232
## 315 3 1964 120 280 0 31 61 111 0 154.94 50.34871 20.97303
## 316 4 1964 109 286 0 24 64 125 1 162.56 56.69900 21.45596
## 317 5 1964 126 282 1 23 66 115 1 167.64 52.16308 18.56128
## 318 6 1964 101 278 0 27 61 99 1 154.94 44.90561 18.70568
## 319 7 1964 114 290 1 21 65 120 1 165.10 54.43104 19.96882
## 320 8 1964 155 290 0 26 66 129 1 167.64 58.51337 20.82091
## 321 1 1965 111 270 0 27 61 119 0 154.94 53.97745 22.48460
## 322 2 1965 88 273 0 20 66 110 1 167.64 49.89512 17.75427
## 323 3 1965 123 296 1 26 64 110 1 162.56 49.89512 18.88125
## 324 4 1965 111 306 0 27 61 102 0 154.94 46.26638 19.27252
## 325 5 1965 127 279 0 26 67 155 1 170.18 70.30676 24.27616
## 326 6 1965 100 275 1 25 64 125 0 162.56 56.69900 21.45596
## 327 7 1965 124 288 1 21 64 116 1 162.56 52.61667 19.91113
## 328 8 1965 109 274 0 33 69 144 1 175.26 65.31725 21.26485
## 329 1 1966 87 248 0 37 65 130 1 165.10 58.96696 21.63289
## 330 2 1966 137 284 0 30 67 110 0 170.18 49.89512 17.22824
## 331 3 1966 102 275 0 43 64 160 0 162.56 72.57472 27.46363
## 332 4 1966 143 292 1 21 65 125 0 165.10 56.69900 20.80086
## 333 5 1966 98 275 0 25 65 112 1 165.10 50.80230 18.63757
## 334 6 1966 109 272 0 41 66 154 1 167.64 69.85317 24.85597
## 335 7 1966 115 262 1 23 64 136 1 162.56 61.68851 23.34409
## 336 8 1966 80 262 1 31 61 100 1 154.94 45.35920 18.89463
## 337 1 1967 143 274 0 27 63 110 1 160.02 49.89512 19.48541
## 338 2 1967 127 289 0 23 67 140 0 170.18 63.50288 21.92686
## 339 3 1967 55 204 0 35 65 140 0 165.10 63.50288 23.29696
## 340 4 1967 136 290 0 26 66 135 0 167.64 61.23492 21.78933
## 341 5 1967 127 288 1 21 66 130 0 167.64 58.96696 20.98232
## 342 6 1967 117 281 1 21 70 141 1 177.80 63.95647 20.23117
## 343 7 1967 143 281 0 28 65 135 1 165.10 61.23492 22.46493
## 344 8 1967 125 273 0 30 64 145 0 162.56 65.77084 24.88892
## 345 1 1968 155 294 0 32 66 150 0 167.64 68.03880 24.21037
## 346 2 1968 96 278 1 18 60 120 1 152.40 54.43104 23.43563
## 347 3 1968 103 276 1 19 63 149 1 160.02 67.58521 26.39387
## 348 4 1968 110 285 1 19 64 130 0 162.56 58.96696 22.31420
## 349 5 1968 129 299 0 22 68 145 0 172.72 65.77084 22.04693
## 350 6 1968 88 252 1 21 60 115 1 152.40 52.16308 22.45915
## 351 7 1968 113 287 1 29 70 145 1 177.80 65.77084 20.80510
## 352 8 1968 94 284 0 24 63 104 1 160.02 47.17357 18.42257
## 353 1 1969 110 272 0 25 60 90 0 152.40 40.82328 17.57673
## 354 2 1969 129 281 0 31 67 155 0 170.18 70.30676 24.27616
## 355 3 1969 123 283 0 21 65 110 0 165.10 49.89512 18.30476
## 356 4 1969 98 257 0 29 66 130 1 167.64 58.96696 20.98232
## 357 5 1969 131 292 1 22 64 124 1 162.56 56.24541 21.28432
## 358 6 1969 95 270 0 35 65 135 1 165.10 61.23492 22.46493
## 359 7 1969 109 244 1 21 63 102 1 160.02 46.26638 18.06829
## 360 8 1969 148 281 0 27 63 110 1 160.02 49.89512 19.48541
## 361 1 1970 122 275 0 26 66 147 0 167.64 66.67802 23.72616
## 362 2 1970 128 288 1 26 65 114 0 165.10 51.70949 18.97038
## 363 3 1970 105 270 1 27 65 134 1 165.10 60.78133 22.29852
## 364 4 1970 108 305 1 24 65 112 0 165.10 50.80230 18.63757
## 365 5 1970 132 289 1 19 66 145 0 167.64 65.77084 23.40335
## 366 6 1970 127 291 1 24 66 135 1 167.64 61.23492 21.78933
## 367 7 1970 103 278 0 30 60 87 1 152.40 39.46250 16.99083
## 368 8 1970 73 277 0 29 65 145 0 165.10 65.77084 24.12900
## 369 1 1971 145 291 0 26 63 119 1 160.02 53.97745 21.07967
## 370 2 1971 85 255 0 24 68 159 0 172.72 72.12113 24.17560
## 371 3 1971 138 289 0 33 65 155 0 165.10 70.30676 25.79306
## 372 4 1971 101 295 0 18 62 145 1 157.48 65.77084 26.52055
## 373 5 1971 127 280 0 27 62 118 0 157.48 53.52386 21.58224
## 374 6 1971 107 293 0 20 65 155 1 165.10 70.30676 25.79306
## 375 7 1971 118 276 0 34 64 116 0 162.56 52.61667 19.91113
## 376 8 1971 123 267 1 19 66 132 1 167.64 59.87414 21.30512
## 377 1 1972 115 258 0 26 62 130 0 157.48 58.96696 23.77705
## 378 2 1972 111 281 1 27 64 112 0 162.56 50.80230 19.22454
## 379 3 1972 128 281 0 28 63 150 0 160.02 68.03880 26.57101
## 380 4 1972 71 281 0 32 60 117 1 152.40 53.07026 22.84974
## 381 5 1972 99 313 1 34 59 100 1 149.86 45.35920 20.19733
## 382 6 1972 126 262 0 37 66 135 1 167.64 61.23492 21.78933
## 383 7 1972 127 290 0 27 65 121 0 165.10 54.88463 20.13523
## 384 8 1972 65 232 0 24 66 125 1 167.64 56.69900 20.17530
## 385 1 1973 108 283 0 31 65 148 1 165.10 67.13162 24.62822
## 386 2 1973 124 275 0 28 61 116 0 154.94 52.61667 21.91777
## 387 3 1973 139 285 0 30 65 129 1 165.10 58.51337 21.46649
## 388 4 1973 124 292 0 29 68 176 1 172.72 79.83219 26.76041
## 389 5 1973 115 290 0 30 64 140 1 162.56 63.50288 24.03068
## 390 6 1973 98 278 0 27 63 110 1 160.02 49.89512 19.48541
## 391 7 1973 132 270 0 27 65 126 0 165.10 57.15259 20.96727
## 392 8 1973 118 279 1 21 64 108 0 162.56 48.98794 18.53795
## 393 1 1974 102 282 0 28 61 110 0 154.94 49.89512 20.78409
## 394 2 1974 112 292 1 28 62 110 1 157.48 49.89512 20.11904
## 395 3 1974 104 288 1 27 61 122 1 154.94 55.33822 23.05144
## 396 4 1974 106 276 0 30 66 130 0 167.64 58.96696 20.98232
## 397 5 1974 145 290 1 24 67 125 0 170.18 56.69900 19.57755
## 398 6 1974 96 241 0 23 64 130 1 162.56 58.96696 22.31420
## 399 7 1974 113 275 1 27 60 100 0 152.40 45.35920 19.52969
## 400 8 1974 102 283 0 39 60 119 0 152.40 53.97745 23.24034
## 401 1 1975 143 286 0 31 64 126 0 162.56 57.15259 21.62761
## 402 2 1975 115 281 0 28 61 128 1 154.94 58.05978 24.18512
## 403 3 1975 159 296 1 27 64 112 0 162.56 50.80230 19.22454
## 404 4 1975 101 278 0 25 62 112 1 157.48 50.80230 20.48484
## 405 5 1975 102 249 1 23 67 134 1 170.18 60.78133 20.98713
## 406 6 1975 104 282 0 24 63 144 0 160.02 65.31725 25.50817
## 407 7 1975 128 265 0 24 67 120 0 170.18 54.43104 18.79445
## 408 8 1975 120 280 0 24 61 118 0 154.94 53.52386 22.29566
## 409 1 1976 146 267 0 30 67 132 0 170.18 59.87414 20.67389
## 410 2 1976 72 271 0 39 61 136 0 154.94 61.68851 25.69669
## 411 3 1976 118 276 0 29 62 130 1 157.48 58.96696 23.77705
## 412 4 1976 100 277 0 31 62 100 1 157.48 45.35920 18.29004
## 413 5 1976 136 299 0 29 64 115 0 162.56 52.16308 19.73949
## 414 6 1976 133 273 1 33 63 135 0 160.02 61.23492 23.91391
## 415 7 1976 130 291 0 30 65 150 1 165.10 68.03880 24.96103
## 416 8 1976 108 270 1 21 65 130 1 165.10 58.96696 21.63289
## 417 1 1977 124 275 0 22 60 130 0 152.40 58.96696 25.38860
## 418 2 1977 122 281 1 24 65 137 1 165.10 62.14210 22.79774
## 419 3 1977 99 285 0 25 69 128 1 175.26 58.05978 18.90209
## 420 4 1977 104 269 0 35 63 110 1 160.02 49.89512 19.48541
## 421 5 1977 121 282 0 22 66 133 0 167.64 60.32774 21.46652
## 422 6 1977 93 267 0 25 63 135 1 160.02 61.23492 23.91391
## 423 7 1977 125 281 1 21 65 110 0 165.10 49.89512 18.30476
## 424 8 1977 122 280 1 45 62 128 0 157.48 58.05978 23.41125
## 425 1 1978 124 278 0 26 70 145 1 177.80 65.77084 20.80510
## 426 2 1978 116 291 0 26 66 153 0 167.64 69.39958 24.69457
## 427 3 1978 144 281 0 20 63 120 0 160.02 54.43104 21.25681
## 428 4 1978 117 270 0 24 67 135 1 170.18 61.23492 21.14375
## 429 5 1978 120 286 0 25 62 105 0 157.48 47.62716 19.20454
## 430 6 1978 101 280 1 24 65 123 1 165.10 55.79182 20.46804
## 431 7 1978 117 297 0 38 65 129 0 165.10 58.51337 21.46649
## 432 8 1978 103 268 0 32 62 97 1 157.48 43.99842 17.74134
## 433 1 1979 145 257 0 33 65 140 0 165.10 63.50288 23.29696
## 434 2 1979 127 272 0 20 64 130 1 162.56 58.96696 22.31420
## 435 3 1979 121 270 0 25 62 108 1 157.48 48.98794 19.75324
## 436 4 1979 117 267 0 29 65 120 1 165.10 54.43104 19.96882
## 437 5 1979 118 261 0 26 60 104 0 152.40 47.17357 20.31088
## 438 6 1979 118 277 0 21 64 155 0 162.56 70.30676 26.60539
## 439 7 1979 141 277 0 38 66 162 0 167.64 73.48190 26.14719
## 440 8 1979 105 312 0 41 61 115 1 154.94 52.16308 21.72882
## 441 1 1980 106 273 0 28 60 116 0 152.40 52.61667 22.65445
## 442 2 1980 90 266 0 23 61 99 1 154.94 44.90561 18.70568
## 443 3 1980 117 265 1 24 66 98 0 167.64 44.45202 15.81744
## 444 4 1980 149 279 0 25 67 135 0 170.18 61.23492 21.14375
## 445 5 1980 127 304 1 26 62 105 0 157.48 47.62716 19.20454
## 446 6 1980 130 289 0 21 61 130 1 154.94 58.96696 24.56301
## 447 7 1980 130 270 1 19 66 130 0 167.64 58.96696 20.98232
## 448 8 1980 126 273 1 25 68 135 0 172.72 61.23492 20.52645
## 449 1 1981 75 232 0 33 61 110 0 154.94 49.89512 20.78409
## 450 2 1981 99 273 1 27 59 115 0 149.86 52.16308 23.22693
## 451 3 1981 119 293 1 23 65 127 0 165.10 57.60618 21.13367
## 452 4 1981 135 284 0 25 66 123 0 167.64 55.79182 19.85250
## 453 5 1981 132 281 1 24 63 117 0 160.02 53.07026 20.72539
## 454 6 1981 125 288 0 22 63 128 1 160.02 58.05978 22.67393
## 455 7 1981 139 299 1 20 67 112 0 170.18 50.80230 17.54149
## 456 8 1981 145 316 0 22 67 142 0 170.18 64.41006 22.24010
## 457 1 1982 107 273 0 24 61 96 0 154.94 43.54483 18.13884
## 458 2 1982 144 307 1 26 66 125 0 167.64 56.69900 20.17530
## 459 3 1982 105 281 1 19 61 130 0 154.94 58.96696 24.56301
## 460 4 1982 110 283 1 21 66 129 0 167.64 58.51337 20.82091
## 461 5 1982 102 258 1 22 65 135 0 165.10 61.23492 22.46493
## 462 6 1982 140 291 1 19 65 122 0 165.10 55.33822 20.30164
## 463 7 1982 130 283 0 32 65 118 0 165.10 53.52386 19.63601
## 464 8 1982 139 293 0 34 66 131 0 167.64 59.42055 21.14372
## 465 1 1983 124 288 0 22 67 118 0 170.18 53.52386 18.48121
## 466 2 1983 138 280 1 30 65 175 0 165.10 79.37860 29.12120
## 467 3 1983 125 283 0 37 63 145 1 160.02 65.77084 25.68531
## 468 4 1983 121 276 0 31 67 130 0 170.18 58.96696 20.36065
## 469 5 1983 143 279 0 39 65 129 1 165.10 58.51337 21.46649
## 470 6 1983 115 290 1 19 65 118 0 165.10 53.52386 19.63601
## 471 7 1983 113 289 1 26 59 91 0 149.86 41.27687 18.37957
## 472 8 1983 124 290 0 26 65 165 0 165.10 74.84268 27.45713
## 473 1 1984 122 280 0 23 65 125 1 165.10 56.69900 20.80086
## 474 2 1984 58 245 0 34 64 156 1 162.56 70.76035 26.77704
## 475 3 1984 119 259 0 37 62 130 0 157.48 58.96696 23.77705
## 476 4 1984 142 285 1 24 66 136 0 167.64 61.68851 21.95073
## 477 5 1984 118 277 0 25 62 120 0 157.48 54.43104 21.94804
## 478 6 1984 130 293 0 26 63 123 0 160.02 55.79182 21.78823
## 479 7 1984 77 238 1 23 63 103 1 160.02 46.71998 18.24543
## 480 8 1984 121 282 0 30 65 122 0 165.10 55.33822 20.30164
## 481 1 1985 101 245 0 23 63 130 1 160.02 58.96696 23.02821
## 482 2 1985 109 265 1 24 63 107 1 160.02 48.53434 18.95399
## 483 3 1985 101 273 0 39 60 113 0 152.40 51.25590 22.06855
## 484 4 1985 104 260 0 33 64 145 0 162.56 65.77084 24.88892
## 485 5 1985 102 286 1 22 64 140 0 162.56 63.50288 24.03068
## 486 6 1985 114 277 1 31 64 125 0 162.56 56.69900 21.45596
## 487 7 1985 62 228 0 24 61 107 0 154.94 48.53434 20.21725
## 488 8 1985 126 299 1 21 60 114 0 152.40 51.70949 22.26385
## 489 1 1986 128 283 0 28 63 125 1 160.02 56.69900 22.14251
## 490 2 1986 110 277 1 19 62 160 0 157.48 72.57472 29.26406
## 491 3 1986 105 277 1 25 64 156 0 162.56 70.76035 26.77704
## 492 4 1986 138 296 0 34 66 120 0 167.64 54.43104 19.36829
## 493 5 1986 163 280 0 35 69 139 0 175.26 63.04929 20.52648
## 494 6 1986 105 278 0 21 64 120 0 162.56 54.43104 20.59772
## 495 7 1986 93 245 0 33 61 100 1 154.94 45.35920 18.89463
## 496 8 1986 119 286 1 33 67 137 0 170.18 62.14210 21.45700
## 497 1 1987 104 282 0 36 65 115 1 165.10 52.16308 19.13679
## 498 2 1987 129 278 0 27 63 128 0 160.02 58.05978 22.67393
## 499 3 1987 110 281 0 27 60 110 0 152.40 49.89512 21.48266
## 500 4 1987 112 278 1 21 63 120 0 160.02 54.43104 21.25681
## 501 5 1987 132 294 0 32 64 116 0 162.56 52.61667 19.91113
## 502 6 1987 101 289 1 31 60 125 0 152.40 56.69900 24.41212
## 503 7 1987 109 275 1 37 63 112 1 160.02 50.80230 19.83969
## 504 8 1987 114 277 1 19 63 107 0 160.02 48.53434 18.95399
## 505 1 1988 97 246 0 37 63 150 0 160.02 68.03880 26.57101
## 506 2 1988 150 284 0 40 67 130 0 170.18 58.96696 20.36065
## 507 3 1988 100 270 1 21 65 132 1 165.10 59.87414 21.96571
## 508 4 1988 117 293 0 39 60 120 1 152.40 54.43104 23.43563
## 509 5 1988 116 276 0 33 61 180 0 154.94 81.64656 34.01033
## 510 6 1988 132 286 0 26 67 122 1 170.18 55.33822 19.10769
## 511 7 1988 145 283 0 27 65 125 1 165.10 56.69900 20.80086
## 512 8 1988 118 272 0 23 64 113 0 162.56 51.25590 19.39619
## 513 1 1989 137 274 0 26 69 137 1 175.26 62.14210 20.23114
## 514 2 1989 128 279 0 27 66 135 0 167.64 61.23492 21.78933
## 515 3 1989 98 284 0 29 68 140 0 172.72 63.50288 21.28669
## 516 4 1989 109 282 0 25 62 106 1 157.48 48.08075 19.38744
## 517 5 1989 138 288 1 19 66 124 0 167.64 56.24541 20.01390
## 518 6 1989 112 252 0 37 64 162 0 162.56 73.48190 27.80693
## 519 7 1989 92 224 0 19 63 134 1 160.02 60.78133 23.73677
## 520 8 1989 127 295 0 36 65 145 0 165.10 65.77084 24.12900
## 521 1 1990 103 273 0 31 63 170 1 160.02 77.11064 30.11381
## 522 2 1990 142 284 1 31 66 137 1 167.64 62.14210 22.11213
## 523 3 1990 127 276 0 37 64 159 0 162.56 72.12113 27.29199
## 524 4 1990 131 266 1 28 67 135 0 170.18 61.23492 21.14375
## 525 5 1990 139 279 0 20 64 143 0 162.56 64.86366 24.54562
## 526 6 1990 69 232 0 31 59 103 1 149.86 46.71998 20.80325
## 527 7 1990 120 281 0 26 61 115 0 154.94 52.16308 21.72882
## 528 8 1990 117 290 1 22 67 110 0 170.18 49.89512 17.22824
## 529 1 1991 142 276 0 38 63 170 0 160.02 77.11064 30.11381
## 530 2 1991 115 268 1 31 64 125 0 162.56 56.69900 21.45596
## 531 3 1991 117 324 0 22 62 164 1 157.48 74.38909 29.99566
## 532 4 1991 120 273 0 29 64 130 1 162.56 58.96696 22.31420
## 533 5 1991 132 298 1 23 61 137 0 154.94 62.14210 25.88564
## 534 6 1991 114 264 0 26 63 110 1 160.02 49.89512 19.48541
## 535 7 1991 135 284 0 39 67 141 0 170.18 63.95647 22.08348
## 536 8 1991 137 277 0 41 65 126 0 165.10 57.15259 20.96727
## 537 1 1992 130 289 0 27 66 130 0 167.64 58.96696 20.98232
## 538 2 1992 108 283 0 35 62 108 0 157.48 48.98794 19.75324
## 539 3 1992 122 278 0 37 68 114 0 172.72 51.70949 17.33345
## 540 4 1992 116 270 0 29 63 132 0 160.02 59.87414 23.38249
## 541 5 1992 87 282 0 27 63 104 1 160.02 47.17357 18.42257
## 542 6 1992 123 267 0 29 63 111 1 160.02 50.34871 19.66255
## 543 7 1992 113 287 0 36 63 118 0 160.02 53.52386 20.90253
## 544 8 1992 133 292 0 29 65 135 0 165.10 61.23492 22.46493
## 545 1 1993 156 292 0 26 63 118 0 160.02 53.52386 20.90253
## 546 2 1993 139 281 0 27 63 137 0 160.02 62.14210 24.26819
## 547 3 1993 122 273 1 23 64 130 1 162.56 58.96696 22.31420
## 548 4 1993 140 290 0 23 65 110 0 165.10 49.89512 18.30476
## 549 5 1993 131 297 0 30 67 132 0 170.18 59.87414 20.67389
## 550 6 1993 129 284 1 20 66 130 1 167.64 58.96696 20.98232
## 551 7 1993 126 251 1 28 64 123 0 162.56 55.79182 21.11267
## 552 8 1993 100 264 0 28 60 111 1 152.40 50.34871 21.67796
## 553 1 1994 133 284 0 25 66 125 1 167.64 56.69900 20.17530
## 554 2 1994 115 275 0 25 61 155 1 154.94 70.30676 29.28667
## 555 3 1994 118 281 1 36 66 140 1 167.64 63.50288 22.59634
## 556 4 1994 103 273 1 22 64 110 1 162.56 49.89512 18.88125
## 557 5 1994 130 282 0 26 67 147 1 170.18 66.67802 23.02320
## 558 6 1994 114 283 1 15 64 117 1 162.56 53.07026 20.08278
## 559 7 1994 143 270 1 27 70 148 0 177.80 67.13162 21.23555
## 560 8 1994 107 273 1 26 65 135 0 165.10 61.23492 22.46493
## 561 1 1995 120 274 0 24 62 120 0 157.48 54.43104 21.94804
## 562 2 1995 136 288 0 23 62 217 0 157.48 98.42946 39.68938
## 563 3 1995 137 303 1 23 66 127 1 167.64 57.60618 20.49811
## 564 4 1995 120 279 1 23 67 135 0 170.18 61.23492 21.14375
## 565 5 1995 123 290 0 28 66 107 1 167.64 48.53434 17.27006
## 566 6 1995 115 290 0 31 62 95 0 157.48 43.09124 17.37553
## 567 7 1995 128 282 1 25 64 125 0 162.56 56.69900 21.45596
## 568 8 1995 115 276 1 20 62 105 1 157.48 47.62716 19.20454
## 569 1 1996 91 270 0 24 60 149 1 152.40 67.58521 29.09924
## 570 2 1996 163 289 1 25 64 126 1 162.56 57.15259 21.62761
## 571 3 1996 120 275 0 32 63 115 1 160.02 52.16308 20.37111
## 572 4 1996 139 260 1 32 64 127 0 162.56 57.60618 21.79926
## 573 5 1996 115 276 1 18 63 110 0 160.02 49.89512 19.48541
## 574 6 1996 98 272 1 35 64 129 0 162.56 58.51337 22.14255
## 575 7 1996 98 262 0 22 67 120 0 170.18 54.43104 18.79445
## 576 8 1996 91 292 1 26 61 113 1 154.94 51.25590 21.35093
## 577 1 1997 127 274 0 21 62 110 0 157.48 49.89512 20.11904
## 578 2 1997 131 285 0 26 64 130 0 162.56 58.96696 22.31420
## 579 3 1997 143 285 0 27 68 185 0 172.72 83.91452 28.12884
## 580 4 1997 123 254 0 26 62 130 1 157.48 58.96696 23.77705
## 581 5 1997 116 272 0 27 64 130 1 162.56 58.96696 22.31420
## 582 6 1997 128 283 0 27 67 126 0 170.18 57.15259 19.73417
## 583 7 1997 110 306 1 32 61 122 0 154.94 55.33822 23.05144
## 584 8 1997 112 287 0 27 64 110 1 162.56 49.89512 18.88125
## 585 1 1998 153 286 0 26 63 107 1 160.02 48.53434 18.95399
## 586 2 1998 77 238 0 38 67 135 1 170.18 61.23492 21.14375
## 587 3 1998 108 270 0 29 67 124 1 170.18 56.24541 19.42093
## 588 4 1998 104 280 1 23 64 107 1 162.56 48.53434 18.36630
## 589 5 1998 119 286 1 20 67 130 0 170.18 58.96696 20.36065
## 590 6 1998 119 271 0 28 64 175 1 162.56 79.37860 30.03835
## 591 7 1998 162 284 0 27 64 126 0 162.56 57.15259 21.62761
## 592 8 1998 125 289 1 31 61 120 0 154.94 54.43104 22.67355
## 593 1 1999 121 276 0 39 63 130 0 160.02 58.96696 23.02821
## 594 2 1999 124 283 1 33 67 156 1 170.18 70.76035 24.43278
## 595 3 1999 131 284 1 19 61 114 1 154.94 51.70949 21.53987
## 596 4 1999 111 270 0 22 59 103 0 149.86 46.71998 20.80325
## 597 5 1999 125 279 1 19 67 135 0 170.18 61.23492 21.14375
## 598 6 1999 154 288 0 25 65 147 0 165.10 66.67802 24.46181
## 599 7 1999 116 292 1 20 65 118 0 165.10 53.52386 19.63601
## 600 8 1999 157 291 0 33 65 121 0 165.10 54.88463 20.13523
## 601 1 2000 120 277 0 27 63 126 0 160.02 57.15259 22.31965
## 602 2 2000 104 270 1 26 62 115 0 157.48 52.16308 21.03354
## 603 3 2000 110 277 0 36 61 116 0 154.94 52.61667 21.91777
## 604 4 2000 122 277 0 32 63 157 1 160.02 71.21394 27.81099
## 605 5 2000 144 282 0 33 66 155 1 167.64 70.30676 25.01738
## 606 6 2000 127 247 1 21 63 140 0 160.02 63.50288 24.79961
## 607 7 2000 128 284 0 23 62 110 0 157.48 49.89512 20.11904
## 608 8 2000 108 256 1 26 67 130 0 170.18 58.96696 20.36065
## 609 1 2001 99 272 0 27 62 103 1 157.48 46.71998 18.83874
## 610 2 2001 102 267 1 24 61 109 1 154.94 49.44153 20.59514
## 611 3 2001 105 276 0 20 62 112 1 157.48 50.80230 20.48484
## 612 4 2001 116 271 1 30 67 144 1 170.18 65.31725 22.55334
## 613 5 2001 123 269 0 26 67 132 0 170.18 59.87414 20.67389
## 614 6 2001 131 263 0 29 64 180 1 162.56 81.64656 30.89659
## 615 7 2001 111 275 1 18 61 108 1 154.94 48.98794 20.40620
## 616 8 2001 130 279 0 31 62 122 0 157.48 55.33822 22.31384
## 617 1 2002 149 293 0 35 65 116 0 165.10 52.61667 19.30320
## 618 2 2002 94 268 0 30 62 105 1 157.48 47.62716 19.20454
## 619 3 2002 125 255 0 23 63 133 0 160.02 60.32774 23.55963
## 620 4 2002 129 277 0 27 68 130 1 172.72 58.96696 19.76621
## 621 5 2002 120 276 0 23 66 114 0 167.64 51.70949 18.39988
## 622 6 2002 129 288 0 28 59 102 0 149.86 46.26638 20.60128
## 623 7 2002 137 280 0 34 60 107 0 152.40 48.53434 20.89677
## 624 8 2002 135 289 0 25 64 127 0 162.56 57.60618 21.79926
## 625 1 2003 129 280 0 23 64 104 0 162.56 47.17357 17.85136
## 626 2 2003 158 295 1 37 70 137 0 177.80 62.14210 19.65724
## 627 3 2003 78 258 1 24 66 115 1 167.64 52.16308 18.56128
## 628 4 2003 133 292 0 30 65 112 1 165.10 50.80230 18.63757
## 629 5 2003 140 251 0 28 63 210 0 160.02 95.25432 37.19942
## 630 6 2003 114 286 1 22 64 116 1 162.56 52.61667 19.91113
## 631 7 2003 100 264 0 29 64 120 1 162.56 54.43104 20.59772
## 632 8 2003 123 277 0 24 66 122 0 167.64 55.33822 19.69110
## 633 1 2004 139 292 0 25 68 135 0 172.72 61.23492 20.52645
## 634 2 2004 112 275 1 21 68 143 1 172.72 64.86366 21.74283
## 635 3 2004 114 289 0 36 60 115 0 152.40 52.16308 22.45915
## 636 4 2004 110 277 0 25 61 130 0 154.94 58.96696 24.56301
## 637 5 2004 120 271 1 17 64 142 1 162.56 64.41006 24.37397
## 638 6 2004 110 280 0 29 62 110 1 157.48 49.89512 20.11904
## 639 7 2004 160 271 0 32 67 215 0 170.18 97.52228 33.67339
## 640 8 2004 100 281 0 24 61 115 0 154.94 52.16308 21.72882
# Thêm một biến xác định cao hay không cao vào bộ dữ liệu
# Nếu cột cm có giá trị lớn hơn 170 thì cột chiều cao sẽ hiển thị "cao" còn không thì ngược lại
tcdat$chieucao <- ifelse(tcdat$cm >= 170,'cao', 'không cao')
tcdat
## I y B G P A H W S cm kg bmi chieucao
## 1 1 1925 120 284 0 27 62 100 0 157.48 45.35920 18.29004 không cao
## 2 2 1925 112 267 1 22 62 138 0 157.48 62.59570 25.24025 không cao
## 3 3 1925 119 286 0 26 64 123 1 162.56 55.79182 21.11267 không cao
## 4 4 1925 124 287 0 27 62 105 1 157.48 47.62716 19.20454 không cao
## 5 5 1925 105 276 0 22 67 130 0 170.18 58.96696 20.36065 cao
## 6 6 1925 120 289 1 31 59 102 0 149.86 46.26638 20.60128 không cao
## 7 7 1925 82 274 0 31 64 101 1 162.56 45.81279 17.33642 không cao
## 8 8 1925 111 278 0 29 65 145 1 165.10 65.77084 24.12900 không cao
## 9 1 1926 113 282 0 33 64 135 0 162.56 61.23492 23.17244 không cao
## 10 2 1926 134 297 0 27 67 170 1 170.18 77.11064 26.62547 cao
## 11 3 1926 97 279 0 29 68 178 1 172.72 80.73938 27.06451 cao
## 12 4 1926 125 292 0 22 65 122 0 165.10 55.33822 20.30164 không cao
## 13 5 1926 93 246 0 37 65 130 0 165.10 58.96696 21.63289 không cao
## 14 6 1926 146 280 0 23 61 145 0 154.94 65.77084 27.39721 không cao
## 15 7 1926 100 274 0 24 63 113 0 160.02 51.25590 20.01683 không cao
## 16 8 1926 103 250 0 40 59 140 0 149.86 63.50288 28.27626 không cao
## 17 1 1927 128 279 0 28 64 115 1 162.56 52.16308 19.73949 không cao
## 18 2 1927 145 308 0 35 64 110 1 162.56 49.89512 18.88125 không cao
## 19 3 1927 99 252 0 21 64 120 0 162.56 54.43104 20.59772 không cao
## 20 4 1927 110 262 0 25 66 140 0 167.64 63.50288 22.59634 không cao
## 21 5 1927 122 281 0 42 63 103 1 160.02 46.71998 18.24543 không cao
## 22 6 1927 112 283 1 21 62 102 1 157.48 46.26638 18.65584 không cao
## 23 7 1927 114 271 0 32 61 130 0 154.94 58.96696 24.56301 không cao
## 24 8 1927 114 276 0 26 62 127 0 157.48 57.60618 23.22835 không cao
## 25 1 1928 108 282 0 23 67 125 1 170.18 56.69900 19.57755 cao
## 26 2 1928 116 295 0 32 65 120 0 165.10 54.43104 19.96882 không cao
## 27 3 1928 115 264 1 23 67 134 1 170.18 60.78133 20.98713 cao
## 28 4 1928 125 279 0 23 63 104 1 160.02 47.17357 18.42257 không cao
## 29 5 1928 133 293 0 23 64 110 1 162.56 49.89512 18.88125 không cao
## 30 6 1928 132 278 0 20 64 150 1 162.56 68.03880 25.74716 không cao
## 31 7 1928 97 269 0 20 65 137 1 165.10 62.14210 22.79774 không cao
## 32 8 1928 75 247 0 36 64 120 1 162.56 54.43104 20.59772 không cao
## 33 1 1929 136 286 0 25 62 93 0 157.48 42.18406 17.00973 không cao
## 34 2 1929 126 278 0 26 64 150 1 162.56 68.03880 25.74716 không cao
## 35 3 1929 139 284 0 37 61 121 0 154.94 54.88463 22.86250 không cao
## 36 4 1929 138 294 0 40 64 125 0 162.56 56.69900 21.45596 không cao
## 37 5 1929 130 296 1 22 66 117 1 167.64 53.07026 18.88408 không cao
## 38 6 1929 146 263 0 39 53 110 1 134.62 49.89512 27.53207 không cao
## 39 7 1929 126 298 0 24 61 112 0 154.94 50.80230 21.16198 không cao
## 40 8 1929 169 296 0 33 67 185 0 170.18 83.91452 28.97478 cao
## 41 1 1930 138 244 0 33 62 178 0 157.48 80.73938 32.55627 không cao
## 42 2 1930 111 285 0 29 65 130 0 165.10 58.96696 21.63289 không cao
## 43 3 1930 144 304 1 27 58 102 1 147.32 46.26638 21.31779 không cao
## 44 4 1930 142 284 0 39 66 132 0 167.64 59.87414 21.30512 không cao
## 45 5 1930 104 307 0 24 59 122 0 149.86 55.33822 24.64074 không cao
## 46 6 1930 122 275 0 30 68 140 0 172.72 63.50288 21.28669 cao
## 47 7 1930 122 275 1 20 65 127 0 165.10 57.60618 21.13367 không cao
## 48 8 1930 94 271 0 36 61 130 1 154.94 58.96696 24.56301 không cao
## 49 1 1931 132 245 0 23 65 140 0 165.10 63.50288 23.29696 không cao
## 50 2 1931 126 282 0 33 62 117 0 157.48 53.07026 21.39934 không cao
## 51 3 1931 99 270 0 22 63 115 1 160.02 52.16308 20.37111 không cao
## 52 4 1931 115 278 0 23 60 102 1 152.40 46.26638 19.92029 không cao
## 53 5 1931 106 278 0 31 65 110 1 165.10 49.89512 18.30476 không cao
## 54 6 1931 128 292 0 32 66 130 0 167.64 58.96696 20.98232 không cao
## 55 7 1931 152 295 0 39 62 140 0 157.48 63.50288 25.60605 không cao
## 56 8 1931 150 287 0 36 62 135 0 157.48 61.23492 24.69155 không cao
## 57 1 1932 120 289 0 25 62 125 0 157.48 56.69900 22.86255 không cao
## 58 2 1932 109 291 0 39 64 107 0 162.56 48.53434 18.36630 không cao
## 59 3 1932 105 280 1 22 63 116 0 160.02 52.61667 20.54825 không cao
## 60 4 1932 102 280 0 38 67 140 0 170.18 63.50288 21.92686 cao
## 61 5 1932 120 281 0 33 63 113 0 160.02 51.25590 20.01683 không cao
## 62 6 1932 119 277 0 24 63 120 1 160.02 54.43104 21.25681 không cao
## 63 7 1932 116 274 0 21 62 110 1 157.48 49.89512 20.11904 không cao
## 64 8 1932 144 248 0 30 70 145 0 177.80 65.77084 20.80510 cao
## 65 1 1933 143 299 0 30 66 136 1 167.64 61.68851 21.95073 không cao
## 66 2 1933 136 291 0 41 66 191 0 167.64 86.63607 30.82787 không cao
## 67 3 1933 89 275 0 34 66 170 0 167.64 77.11064 27.43841 không cao
## 68 4 1933 140 294 0 25 61 103 0 154.94 46.71998 19.46146 không cao
## 69 5 1933 118 276 1 18 63 128 0 160.02 58.05978 22.67393 không cao
## 70 6 1933 135 278 0 27 66 148 0 167.64 67.13162 23.88756 không cao
## 71 7 1933 132 302 0 36 63 145 1 160.02 65.77084 25.68531 không cao
## 72 8 1933 144 291 0 28 67 130 0 170.18 58.96696 20.36065 cao
## 73 1 1934 140 351 0 27 68 120 0 172.72 54.43104 18.24574 cao
## 74 2 1934 119 286 0 22 63 185 1 160.02 83.91452 32.77092 không cao
## 75 3 1934 129 270 0 43 67 160 0 170.18 72.57472 25.05927 cao
## 76 4 1934 133 276 1 22 63 119 0 160.02 53.97745 21.07967 không cao
## 77 5 1934 140 290 1 19 67 132 1 170.18 59.87414 20.67389 cao
## 78 6 1934 129 235 0 24 66 135 0 167.64 61.23492 21.78933 không cao
## 79 7 1934 84 260 1 37 66 140 0 167.64 63.50288 22.59634 không cao
## 80 8 1934 143 313 0 20 68 150 0 172.72 68.03880 22.80717 cao
## 81 1 1935 144 282 0 32 64 124 1 162.56 56.24541 21.28432 không cao
## 82 2 1935 103 267 1 21 66 150 1 167.64 68.03880 24.21037 không cao
## 83 3 1935 119 270 1 20 64 109 0 162.56 49.44153 18.70960 không cao
## 84 4 1935 127 290 0 35 66 165 0 167.64 74.84268 26.63140 không cao
## 85 5 1935 114 268 0 22 64 104 0 162.56 47.17357 17.85136 không cao
## 86 6 1935 116 293 1 28 62 108 0 157.48 48.98794 19.75324 không cao
## 87 7 1935 119 277 1 18 61 89 1 154.94 40.36969 16.81622 không cao
## 88 8 1935 145 304 1 25 63 109 1 160.02 49.44153 19.30827 không cao
## 89 1 1936 141 279 0 23 63 128 1 160.02 58.05978 22.67393 không cao
## 90 2 1936 124 284 1 17 62 112 0 157.48 50.80230 20.48484 không cao
## 91 3 1936 114 291 0 35 60 112 0 152.40 50.80230 21.87326 không cao
## 92 4 1936 104 274 1 20 62 115 1 157.48 52.16308 21.03354 không cao
## 93 5 1936 116 280 0 40 62 159 0 157.48 72.12113 29.08116 không cao
## 94 6 1936 100 275 0 27 64 111 1 162.56 50.34871 19.05290 không cao
## 95 7 1936 106 312 0 24 62 135 1 157.48 61.23492 24.69155 không cao
## 96 8 1936 121 285 0 34 64 110 0 162.56 49.89512 18.88125 không cao
## 97 1 1937 110 281 0 36 61 99 1 154.94 44.90561 18.70568 không cao
## 98 2 1937 155 286 0 31 66 127 0 167.64 57.60618 20.49811 không cao
## 99 3 1937 106 289 0 28 67 120 1 170.18 54.43104 18.79445 cao
## 100 4 1937 119 275 0 42 67 156 1 170.18 70.76035 24.43278 cao
## 101 5 1937 129 284 0 24 64 115 0 162.56 52.16308 19.73949 không cao
## 102 6 1937 138 257 0 38 67 138 0 170.18 62.59570 21.61362 cao
## 103 7 1937 139 291 0 24 65 160 0 165.10 72.57472 26.62510 không cao
## 104 8 1937 105 256 0 31 66 142 0 167.64 64.41006 22.91915 không cao
## 105 1 1938 114 273 0 30 63 154 0 160.02 69.85317 27.27957 không cao
## 106 2 1938 122 282 1 21 66 110 0 167.64 49.89512 17.75427 không cao
## 107 3 1938 122 292 1 34 65 133 0 165.10 60.32774 22.13211 không cao
## 108 4 1938 152 301 0 29 65 150 0 165.10 68.03880 24.96103 không cao
## 109 5 1938 120 286 0 22 62 115 1 157.48 52.16308 21.03354 không cao
## 110 6 1938 123 282 0 22 65 130 0 165.10 58.96696 21.63289 không cao
## 111 7 1938 103 273 0 36 65 158 1 165.10 71.66754 26.29228 không cao
## 112 8 1938 134 286 0 25 64 125 0 162.56 56.69900 21.45596 không cao
## 113 1 1939 115 285 0 38 63 130 0 160.02 58.96696 23.02821 không cao
## 114 2 1939 113 285 0 26 66 140 0 167.64 63.50288 22.59634 không cao
## 115 3 1939 136 261 0 24 65 110 0 165.10 49.89512 18.30476 không cao
## 116 4 1939 123 284 1 20 65 120 1 165.10 54.43104 19.96882 không cao
## 117 5 1939 127 281 0 24 63 112 1 160.02 50.80230 19.83969 không cao
## 118 6 1939 113 288 1 21 61 120 0 154.94 54.43104 22.67355 không cao
## 119 7 1939 112 299 0 24 67 145 1 170.18 65.77084 22.70996 cao
## 120 8 1939 129 294 1 21 65 132 0 165.10 59.87414 21.96571 không cao
## 121 1 1940 92 255 0 25 65 125 1 165.10 56.69900 20.80086 không cao
## 122 2 1940 122 273 0 26 66 210 0 167.64 95.25432 33.89451 không cao
## 123 3 1940 121 286 1 22 69 130 1 175.26 58.96696 19.19743 cao
## 124 4 1940 143 273 0 19 66 135 0 167.64 61.23492 21.78933 không cao
## 125 5 1940 71 234 0 32 64 110 1 162.56 49.89512 18.88125 không cao
## 126 6 1940 129 280 1 24 65 140 1 165.10 63.50288 23.29696 không cao
## 127 7 1940 96 276 0 33 64 127 1 162.56 57.60618 21.79926 không cao
## 128 8 1940 114 276 0 24 63 110 0 160.02 49.89512 19.48541 không cao
## 129 1 1941 115 261 0 33 60 125 1 152.40 56.69900 24.41212 không cao
## 130 2 1941 126 293 1 27 62 111 0 157.48 50.34871 20.30194 không cao
## 131 3 1941 112 282 0 26 65 122 0 165.10 55.33822 20.30164 không cao
## 132 4 1941 131 308 0 40 65 160 0 165.10 72.57472 26.62510 không cao
## 133 5 1941 88 274 0 30 66 130 0 167.64 58.96696 20.98232 không cao
## 134 6 1941 122 280 0 24 67 127 1 170.18 57.60618 19.89079 cao
## 135 7 1941 102 281 1 19 67 135 1 170.18 61.23492 21.14375 cao
## 136 8 1941 97 265 0 30 61 110 0 154.94 49.89512 20.78409 không cao
## 137 1 1942 144 261 0 33 68 170 0 172.72 77.11064 25.84813 cao
## 138 2 1942 116 277 0 41 64 124 1 162.56 56.24541 21.28432 không cao
## 139 3 1942 112 266 0 26 64 122 0 162.56 55.33822 20.94102 không cao
## 140 4 1942 141 319 1 20 67 140 1 170.18 63.50288 21.92686 cao
## 141 5 1942 122 286 0 23 64 145 0 162.56 65.77084 24.88892 không cao
## 142 6 1942 132 281 1 21 67 140 0 170.18 63.50288 21.92686 cao
## 143 7 1942 120 300 0 34 63 150 1 160.02 68.03880 26.57101 không cao
## 144 8 1942 160 292 0 28 64 120 0 162.56 54.43104 20.59772 không cao
## 145 1 1943 119 288 0 43 66 142 1 167.64 64.41006 22.91915 không cao
## 146 2 1943 102 294 0 21 65 130 1 165.10 58.96696 21.63289 không cao
## 147 3 1943 123 314 0 22 61 121 1 154.94 54.88463 22.86250 không cao
## 148 4 1943 129 277 0 30 66 142 1 167.64 64.41006 22.91915 không cao
## 149 5 1943 106 302 1 19 66 147 0 167.64 66.67802 23.72616 không cao
## 150 6 1943 120 269 1 40 63 130 0 160.02 58.96696 23.02821 không cao
## 151 7 1943 102 338 0 19 64 170 0 162.56 77.11064 29.18011 không cao
## 152 8 1943 65 237 0 31 67 130 0 170.18 58.96696 20.36065 cao
## 153 1 1944 105 270 0 22 56 93 0 142.24 42.18406 20.84994 không cao
## 154 2 1944 110 181 0 27 64 133 0 162.56 60.32774 22.82914 không cao
## 155 3 1944 139 286 0 33 65 125 1 165.10 56.69900 20.80086 không cao
## 156 4 1944 113 282 1 36 59 140 0 149.86 63.50288 28.27626 không cao
## 157 5 1944 135 285 0 30 66 130 0 167.64 58.96696 20.98232 không cao
## 158 6 1944 114 283 1 20 65 115 0 165.10 52.16308 19.13679 không cao
## 159 7 1944 97 255 1 22 63 107 1 160.02 48.53434 18.95399 không cao
## 160 8 1944 145 288 0 28 64 116 0 162.56 52.61667 19.91113 không cao
## 161 1 1945 115 274 0 27 67 175 1 170.18 79.37860 27.40857 cao
## 162 2 1945 133 285 1 30 64 160 0 162.56 72.57472 27.46363 không cao
## 163 3 1945 125 290 0 36 59 105 0 149.86 47.62716 21.20719 không cao
## 164 4 1945 119 292 0 33 62 118 1 157.48 53.52386 21.58224 không cao
## 165 5 1945 107 290 0 26 63 112 0 160.02 50.80230 19.83969 không cao
## 166 6 1945 130 280 0 29 66 135 0 167.64 61.23492 21.78933 không cao
## 167 7 1945 113 285 0 22 70 145 0 177.80 65.77084 20.80510 cao
## 168 8 1945 95 273 0 23 60 90 0 152.40 40.82328 17.57673 không cao
## 169 1 1946 137 287 0 25 66 145 0 167.64 65.77084 23.40335 không cao
## 170 2 1946 125 283 0 29 65 125 0 165.10 56.69900 20.80086 không cao
## 171 3 1946 105 295 1 20 64 112 1 162.56 50.80230 19.22454 không cao
## 172 4 1946 109 295 1 23 63 103 1 160.02 46.71998 18.24543 không cao
## 173 5 1946 129 294 0 32 62 170 1 157.48 77.11064 31.09306 không cao
## 174 6 1946 117 286 0 32 66 127 1 167.64 57.60618 20.49811 không cao
## 175 7 1946 130 297 0 32 58 130 0 147.32 58.96696 27.16973 không cao
## 176 8 1946 139 293 1 21 69 130 0 175.26 58.96696 19.19743 cao
## 177 1 1947 122 276 0 30 68 182 0 172.72 82.55374 27.67270 cao
## 178 2 1947 164 286 1 32 66 143 0 167.64 64.86366 23.08055 không cao
## 179 3 1947 130 276 0 41 68 130 0 172.72 58.96696 19.76621 cao
## 180 4 1947 104 280 1 27 68 146 1 172.72 66.22443 22.19898 cao
## 181 5 1947 126 274 0 39 62 122 0 157.48 55.33822 22.31384 không cao
## 182 6 1947 142 285 0 33 63 124 0 160.02 56.24541 21.96537 không cao
## 183 7 1947 97 260 1 25 63 115 1 160.02 52.16308 20.37111 không cao
## 184 8 1947 123 288 0 27 63 125 0 160.02 56.69900 22.14251 không cao
## 185 1 1948 131 294 0 23 65 122 0 165.10 55.33822 20.30164 không cao
## 186 2 1948 133 297 0 36 61 125 0 154.94 56.69900 23.61828 không cao
## 187 3 1948 146 294 0 22 66 145 1 167.64 65.77084 23.40335 không cao
## 188 4 1948 131 282 1 21 66 126 0 167.64 57.15259 20.33671 không cao
## 189 5 1948 116 293 1 26 64 125 0 162.56 56.69900 21.45596 không cao
## 190 6 1948 144 273 0 27 62 118 1 157.48 53.52386 21.58224 không cao
## 191 7 1948 116 273 0 31 61 120 0 154.94 54.43104 22.67355 không cao
## 192 8 1948 109 283 0 23 65 112 1 165.10 50.80230 18.63757 không cao
## 193 1 1949 103 261 0 27 65 112 1 165.10 50.80230 18.63757 không cao
## 194 2 1949 124 293 1 19 65 150 0 165.10 68.03880 24.96103 không cao
## 195 3 1949 133 290 0 21 64 145 0 162.56 65.77084 24.88892 không cao
## 196 4 1949 110 293 1 28 64 135 1 162.56 61.23492 23.17244 không cao
## 197 5 1949 124 294 0 26 62 122 0 157.48 55.33822 22.31384 không cao
## 198 6 1949 127 262 1 32 64 125 0 162.56 56.69900 21.45596 không cao
## 199 7 1949 114 266 0 29 64 113 0 162.56 51.25590 19.39619 không cao
## 200 8 1949 110 268 0 34 64 127 0 162.56 57.60618 21.79926 không cao
## 201 1 1950 146 280 0 26 58 106 0 147.32 48.08075 22.15378 không cao
## 202 2 1950 122 306 1 22 62 100 0 157.48 45.35920 18.29004 không cao
## 203 3 1950 147 296 1 19 67 124 0 170.18 56.24541 19.42093 cao
## 204 4 1950 148 279 0 27 71 189 0 180.34 85.72889 26.35986 cao
## 205 5 1950 123 281 0 23 68 136 0 172.72 61.68851 20.67850 cao
## 206 6 1950 115 270 0 25 67 165 1 170.18 74.84268 25.84237 cao
## 207 7 1950 127 242 0 17 61 135 1 154.94 61.23492 25.50774 không cao
## 208 8 1950 122 296 1 24 65 132 0 165.10 59.87414 21.96571 không cao
## 209 1 1951 114 266 0 20 65 175 1 165.10 79.37860 29.12120 không cao
## 210 2 1951 121 271 1 34 63 129 1 160.02 58.51337 22.85107 không cao
## 211 3 1951 109 269 0 23 63 113 0 160.02 51.25590 20.01683 không cao
## 212 4 1951 137 283 1 20 65 157 0 165.10 71.21394 26.12588 không cao
## 213 5 1951 145 315 0 39 67 143 1 170.18 64.86366 22.39672 cao
## 214 6 1951 85 258 0 41 67 137 0 170.18 62.14210 21.45700 cao
## 215 7 1951 87 247 1 18 66 125 1 167.64 56.69900 20.17530 không cao
## 216 8 1951 115 307 0 34 65 128 1 165.10 58.05978 21.30008 không cao
## 217 1 1952 125 292 0 32 65 125 0 165.10 56.69900 20.80086 không cao
## 218 2 1952 100 272 0 30 64 150 1 162.56 68.03880 25.74716 không cao
## 219 3 1952 122 286 0 23 64 120 1 162.56 54.43104 20.59772 không cao
## 220 4 1952 117 283 0 27 63 108 0 160.02 48.98794 19.13113 không cao
## 221 5 1952 102 278 0 27 67 135 1 170.18 61.23492 21.14375 cao
## 222 6 1952 99 274 0 28 66 118 1 167.64 53.52386 19.04549 không cao
## 223 7 1952 141 281 0 29 54 156 1 137.16 70.76035 37.61275 không cao
## 224 8 1952 108 279 1 19 64 115 0 162.56 52.16308 19.73949 không cao
## 225 1 1953 114 274 0 28 66 132 1 167.64 59.87414 21.30512 không cao
## 226 2 1953 90 266 1 26 67 135 0 170.18 61.23492 21.14375 cao
## 227 3 1953 135 260 0 43 65 135 0 165.10 61.23492 22.46493 không cao
## 228 4 1953 115 302 1 22 67 135 0 170.18 61.23492 21.14375 cao
## 229 5 1953 129 293 0 30 65 130 1 165.10 58.96696 21.63289 không cao
## 230 6 1953 123 323 1 17 64 140 0 162.56 63.50288 24.03068 không cao
## 231 7 1953 144 283 1 25 66 140 0 167.64 63.50288 22.59634 không cao
## 232 8 1953 120 287 0 23 67 116 1 170.18 52.61667 18.16797 cao
## 233 1 1954 122 270 0 26 61 105 0 154.94 47.62716 19.83936 không cao
## 234 2 1954 128 272 1 18 67 109 0 170.18 49.44153 17.07162 cao
## 235 3 1954 117 272 0 32 66 118 0 167.64 53.52386 19.04549 không cao
## 236 4 1954 98 280 0 35 64 122 1 162.56 55.33822 20.94102 không cao
## 237 5 1954 98 276 1 22 61 121 0 154.94 54.88463 22.86250 không cao
## 238 6 1954 112 281 1 23 61 150 0 154.94 68.03880 28.34194 không cao
## 239 7 1954 116 273 0 33 66 130 1 167.64 58.96696 20.98232 không cao
## 240 8 1954 131 269 0 36 68 145 0 172.72 65.77084 22.04693 cao
## 241 1 1955 93 278 0 34 61 146 0 154.94 66.22443 27.58615 không cao
## 242 2 1955 86 276 1 23 65 125 1 165.10 56.69900 20.80086 không cao
## 243 3 1955 138 284 0 30 66 133 1 167.64 60.32774 21.46652 không cao
## 244 4 1955 136 303 1 20 68 148 1 172.72 67.13162 22.50307 cao
## 245 5 1955 110 272 0 28 60 108 0 152.40 48.98794 21.09207 không cao
## 246 6 1955 68 223 0 32 66 149 1 167.64 67.58521 24.04896 không cao
## 247 7 1955 75 265 0 21 65 103 1 165.10 46.71998 17.13991 không cao
## 248 8 1955 136 283 1 24 63 119 0 160.02 53.97745 21.07967 không cao
## 249 1 1956 130 268 0 30 66 123 0 167.64 55.79182 19.85250 không cao
## 250 2 1956 123 282 0 30 63 118 0 160.02 53.52386 20.90253 không cao
## 251 3 1956 120 283 0 28 64 122 1 162.56 55.33822 20.94102 không cao
## 252 4 1956 121 276 1 23 71 152 1 180.34 68.94598 21.19946 cao
## 253 5 1956 135 282 0 24 67 128 1 170.18 58.05978 20.04741 cao
## 254 6 1956 102 283 1 19 65 127 1 165.10 57.60618 21.13367 không cao
## 255 7 1956 138 286 1 28 68 120 0 172.72 54.43104 18.24574 cao
## 256 8 1956 125 290 0 32 63 135 0 160.02 61.23492 23.91391 không cao
## 257 1 1957 119 275 0 23 60 105 0 152.40 47.62716 20.50618 không cao
## 258 2 1957 87 275 0 28 63 110 1 160.02 49.89512 19.48541 không cao
## 259 3 1957 119 273 0 35 65 125 1 165.10 56.69900 20.80086 không cao
## 260 4 1957 132 285 1 25 63 140 0 160.02 63.50288 24.79961 không cao
## 261 5 1957 101 278 1 20 62 105 0 157.48 47.62716 19.20454 không cao
## 262 6 1957 109 273 0 37 65 138 1 165.10 62.59570 22.96415 không cao
## 263 7 1957 99 271 0 39 69 151 0 175.26 68.49239 22.29855 cao
## 264 8 1957 96 285 1 20 66 117 1 167.64 53.07026 18.88408 không cao
## 265 1 1958 113 281 0 24 65 120 0 165.10 54.43104 19.96882 không cao
## 266 2 1958 128 291 1 27 63 132 0 160.02 59.87414 23.38249 không cao
## 267 3 1958 118 278 1 19 62 126 0 157.48 57.15259 23.04545 không cao
## 268 4 1958 91 264 0 36 60 100 1 152.40 45.35920 19.52969 không cao
## 269 5 1958 96 266 0 26 65 125 0 165.10 56.69900 20.80086 không cao
## 270 6 1958 102 267 1 25 60 93 1 152.40 42.18406 18.16262 không cao
## 271 7 1958 118 293 0 21 63 103 0 160.02 46.71998 18.24543 không cao
## 272 8 1958 102 282 1 29 65 125 1 165.10 56.69900 20.80086 không cao
## 273 1 1959 134 283 0 22 67 130 0 170.18 58.96696 20.36065 cao
## 274 2 1959 120 288 0 28 63 125 0 160.02 56.69900 22.14251 không cao
## 275 3 1959 105 330 0 23 64 112 1 162.56 50.80230 19.22454 không cao
## 276 4 1959 119 294 0 34 59 105 0 149.86 47.62716 21.20719 không cao
## 277 5 1959 104 276 1 18 60 109 1 152.40 49.44153 21.28737 không cao
## 278 6 1959 99 275 0 23 61 125 1 154.94 56.69900 23.61828 không cao
## 279 7 1959 97 266 0 24 62 109 0 157.48 49.44153 19.93614 không cao
## 280 8 1959 102 288 1 18 65 117 0 165.10 53.07026 19.46960 không cao
## 281 1 1960 107 279 0 24 63 115 0 160.02 52.16308 20.37111 không cao
## 282 2 1960 125 301 1 35 68 181 0 172.72 82.10015 27.52065 cao
## 283 3 1960 113 306 1 21 65 137 0 165.10 62.14210 22.79774 không cao
## 284 4 1960 85 273 0 26 60 105 1 152.40 47.62716 20.50618 không cao
## 285 5 1960 100 249 0 24 67 100 0 170.18 45.35920 15.66204 cao
## 286 6 1960 78 256 1 29 65 123 0 165.10 55.79182 20.46804 không cao
## 287 7 1960 146 319 0 28 66 145 0 167.64 65.77084 23.40335 không cao
## 288 8 1960 112 277 1 22 67 120 0 170.18 54.43104 18.79445 cao
## 289 1 1961 134 288 0 23 63 92 1 160.02 41.73046 16.29689 không cao
## 290 2 1961 118 265 0 27 61 123 0 154.94 55.79182 23.24039 không cao
## 291 3 1961 148 291 1 21 63 115 0 160.02 52.16308 20.37111 không cao
## 292 4 1961 106 271 1 26 61 110 1 154.94 49.89512 20.78409 không cao
## 293 5 1961 154 292 0 40 66 145 0 167.64 65.77084 23.40335 không cao
## 294 6 1961 128 284 1 19 66 111 1 167.64 50.34871 17.91567 không cao
## 295 7 1961 81 285 0 19 63 150 1 160.02 68.03880 26.57101 không cao
## 296 8 1961 135 272 0 30 65 130 0 165.10 58.96696 21.63289 không cao
## 297 1 1962 122 267 0 27 65 101 1 165.10 45.81279 16.80709 không cao
## 298 2 1962 116 284 1 24 66 117 0 167.64 53.07026 18.88408 không cao
## 299 3 1962 140 281 1 22 69 135 0 175.26 61.23492 19.93579 cao
## 300 4 1962 132 284 0 29 64 122 0 162.56 55.33822 20.94102 không cao
## 301 5 1962 127 293 0 31 67 137 0 170.18 62.14210 21.45700 cao
## 302 6 1962 107 303 1 25 67 133 0 170.18 60.32774 20.83051 cao
## 303 7 1962 110 321 0 28 66 180 0 167.64 81.64656 29.05244 không cao
## 304 8 1962 91 266 0 23 60 120 1 152.40 54.43104 23.43563 không cao
## 305 1 1963 129 293 0 30 61 160 0 154.94 72.57472 30.23140 không cao
## 306 2 1963 131 262 0 22 67 135 0 170.18 61.23492 21.14375 cao
## 307 3 1963 134 287 1 33 67 131 0 170.18 59.42055 20.51727 cao
## 308 4 1963 80 266 1 25 62 125 0 157.48 56.69900 22.86255 không cao
## 309 5 1963 126 288 0 31 62 150 0 157.48 68.03880 27.43505 không cao
## 310 6 1963 136 295 0 23 64 147 0 162.56 66.67802 25.23221 không cao
## 311 7 1963 135 284 1 19 60 95 0 152.40 43.09124 18.55321 không cao
## 312 8 1963 129 276 0 31 63 125 0 160.02 56.69900 22.14251 không cao
## 313 1 1964 110 278 0 23 63 177 0 160.02 80.28578 31.35380 không cao
## 314 2 1964 151 286 1 22 66 130 0 167.64 58.96696 20.98232 không cao
## 315 3 1964 120 280 0 31 61 111 0 154.94 50.34871 20.97303 không cao
## 316 4 1964 109 286 0 24 64 125 1 162.56 56.69900 21.45596 không cao
## 317 5 1964 126 282 1 23 66 115 1 167.64 52.16308 18.56128 không cao
## 318 6 1964 101 278 0 27 61 99 1 154.94 44.90561 18.70568 không cao
## 319 7 1964 114 290 1 21 65 120 1 165.10 54.43104 19.96882 không cao
## 320 8 1964 155 290 0 26 66 129 1 167.64 58.51337 20.82091 không cao
## 321 1 1965 111 270 0 27 61 119 0 154.94 53.97745 22.48460 không cao
## 322 2 1965 88 273 0 20 66 110 1 167.64 49.89512 17.75427 không cao
## 323 3 1965 123 296 1 26 64 110 1 162.56 49.89512 18.88125 không cao
## 324 4 1965 111 306 0 27 61 102 0 154.94 46.26638 19.27252 không cao
## 325 5 1965 127 279 0 26 67 155 1 170.18 70.30676 24.27616 cao
## 326 6 1965 100 275 1 25 64 125 0 162.56 56.69900 21.45596 không cao
## 327 7 1965 124 288 1 21 64 116 1 162.56 52.61667 19.91113 không cao
## 328 8 1965 109 274 0 33 69 144 1 175.26 65.31725 21.26485 cao
## 329 1 1966 87 248 0 37 65 130 1 165.10 58.96696 21.63289 không cao
## 330 2 1966 137 284 0 30 67 110 0 170.18 49.89512 17.22824 cao
## 331 3 1966 102 275 0 43 64 160 0 162.56 72.57472 27.46363 không cao
## 332 4 1966 143 292 1 21 65 125 0 165.10 56.69900 20.80086 không cao
## 333 5 1966 98 275 0 25 65 112 1 165.10 50.80230 18.63757 không cao
## 334 6 1966 109 272 0 41 66 154 1 167.64 69.85317 24.85597 không cao
## 335 7 1966 115 262 1 23 64 136 1 162.56 61.68851 23.34409 không cao
## 336 8 1966 80 262 1 31 61 100 1 154.94 45.35920 18.89463 không cao
## 337 1 1967 143 274 0 27 63 110 1 160.02 49.89512 19.48541 không cao
## 338 2 1967 127 289 0 23 67 140 0 170.18 63.50288 21.92686 cao
## 339 3 1967 55 204 0 35 65 140 0 165.10 63.50288 23.29696 không cao
## 340 4 1967 136 290 0 26 66 135 0 167.64 61.23492 21.78933 không cao
## 341 5 1967 127 288 1 21 66 130 0 167.64 58.96696 20.98232 không cao
## 342 6 1967 117 281 1 21 70 141 1 177.80 63.95647 20.23117 cao
## 343 7 1967 143 281 0 28 65 135 1 165.10 61.23492 22.46493 không cao
## 344 8 1967 125 273 0 30 64 145 0 162.56 65.77084 24.88892 không cao
## 345 1 1968 155 294 0 32 66 150 0 167.64 68.03880 24.21037 không cao
## 346 2 1968 96 278 1 18 60 120 1 152.40 54.43104 23.43563 không cao
## 347 3 1968 103 276 1 19 63 149 1 160.02 67.58521 26.39387 không cao
## 348 4 1968 110 285 1 19 64 130 0 162.56 58.96696 22.31420 không cao
## 349 5 1968 129 299 0 22 68 145 0 172.72 65.77084 22.04693 cao
## 350 6 1968 88 252 1 21 60 115 1 152.40 52.16308 22.45915 không cao
## 351 7 1968 113 287 1 29 70 145 1 177.80 65.77084 20.80510 cao
## 352 8 1968 94 284 0 24 63 104 1 160.02 47.17357 18.42257 không cao
## 353 1 1969 110 272 0 25 60 90 0 152.40 40.82328 17.57673 không cao
## 354 2 1969 129 281 0 31 67 155 0 170.18 70.30676 24.27616 cao
## 355 3 1969 123 283 0 21 65 110 0 165.10 49.89512 18.30476 không cao
## 356 4 1969 98 257 0 29 66 130 1 167.64 58.96696 20.98232 không cao
## 357 5 1969 131 292 1 22 64 124 1 162.56 56.24541 21.28432 không cao
## 358 6 1969 95 270 0 35 65 135 1 165.10 61.23492 22.46493 không cao
## 359 7 1969 109 244 1 21 63 102 1 160.02 46.26638 18.06829 không cao
## 360 8 1969 148 281 0 27 63 110 1 160.02 49.89512 19.48541 không cao
## 361 1 1970 122 275 0 26 66 147 0 167.64 66.67802 23.72616 không cao
## 362 2 1970 128 288 1 26 65 114 0 165.10 51.70949 18.97038 không cao
## 363 3 1970 105 270 1 27 65 134 1 165.10 60.78133 22.29852 không cao
## 364 4 1970 108 305 1 24 65 112 0 165.10 50.80230 18.63757 không cao
## 365 5 1970 132 289 1 19 66 145 0 167.64 65.77084 23.40335 không cao
## 366 6 1970 127 291 1 24 66 135 1 167.64 61.23492 21.78933 không cao
## 367 7 1970 103 278 0 30 60 87 1 152.40 39.46250 16.99083 không cao
## 368 8 1970 73 277 0 29 65 145 0 165.10 65.77084 24.12900 không cao
## 369 1 1971 145 291 0 26 63 119 1 160.02 53.97745 21.07967 không cao
## 370 2 1971 85 255 0 24 68 159 0 172.72 72.12113 24.17560 cao
## 371 3 1971 138 289 0 33 65 155 0 165.10 70.30676 25.79306 không cao
## 372 4 1971 101 295 0 18 62 145 1 157.48 65.77084 26.52055 không cao
## 373 5 1971 127 280 0 27 62 118 0 157.48 53.52386 21.58224 không cao
## 374 6 1971 107 293 0 20 65 155 1 165.10 70.30676 25.79306 không cao
## 375 7 1971 118 276 0 34 64 116 0 162.56 52.61667 19.91113 không cao
## 376 8 1971 123 267 1 19 66 132 1 167.64 59.87414 21.30512 không cao
## 377 1 1972 115 258 0 26 62 130 0 157.48 58.96696 23.77705 không cao
## 378 2 1972 111 281 1 27 64 112 0 162.56 50.80230 19.22454 không cao
## 379 3 1972 128 281 0 28 63 150 0 160.02 68.03880 26.57101 không cao
## 380 4 1972 71 281 0 32 60 117 1 152.40 53.07026 22.84974 không cao
## 381 5 1972 99 313 1 34 59 100 1 149.86 45.35920 20.19733 không cao
## 382 6 1972 126 262 0 37 66 135 1 167.64 61.23492 21.78933 không cao
## 383 7 1972 127 290 0 27 65 121 0 165.10 54.88463 20.13523 không cao
## 384 8 1972 65 232 0 24 66 125 1 167.64 56.69900 20.17530 không cao
## 385 1 1973 108 283 0 31 65 148 1 165.10 67.13162 24.62822 không cao
## 386 2 1973 124 275 0 28 61 116 0 154.94 52.61667 21.91777 không cao
## 387 3 1973 139 285 0 30 65 129 1 165.10 58.51337 21.46649 không cao
## 388 4 1973 124 292 0 29 68 176 1 172.72 79.83219 26.76041 cao
## 389 5 1973 115 290 0 30 64 140 1 162.56 63.50288 24.03068 không cao
## 390 6 1973 98 278 0 27 63 110 1 160.02 49.89512 19.48541 không cao
## 391 7 1973 132 270 0 27 65 126 0 165.10 57.15259 20.96727 không cao
## 392 8 1973 118 279 1 21 64 108 0 162.56 48.98794 18.53795 không cao
## 393 1 1974 102 282 0 28 61 110 0 154.94 49.89512 20.78409 không cao
## 394 2 1974 112 292 1 28 62 110 1 157.48 49.89512 20.11904 không cao
## 395 3 1974 104 288 1 27 61 122 1 154.94 55.33822 23.05144 không cao
## 396 4 1974 106 276 0 30 66 130 0 167.64 58.96696 20.98232 không cao
## 397 5 1974 145 290 1 24 67 125 0 170.18 56.69900 19.57755 cao
## 398 6 1974 96 241 0 23 64 130 1 162.56 58.96696 22.31420 không cao
## 399 7 1974 113 275 1 27 60 100 0 152.40 45.35920 19.52969 không cao
## 400 8 1974 102 283 0 39 60 119 0 152.40 53.97745 23.24034 không cao
## 401 1 1975 143 286 0 31 64 126 0 162.56 57.15259 21.62761 không cao
## 402 2 1975 115 281 0 28 61 128 1 154.94 58.05978 24.18512 không cao
## 403 3 1975 159 296 1 27 64 112 0 162.56 50.80230 19.22454 không cao
## 404 4 1975 101 278 0 25 62 112 1 157.48 50.80230 20.48484 không cao
## 405 5 1975 102 249 1 23 67 134 1 170.18 60.78133 20.98713 cao
## 406 6 1975 104 282 0 24 63 144 0 160.02 65.31725 25.50817 không cao
## 407 7 1975 128 265 0 24 67 120 0 170.18 54.43104 18.79445 cao
## 408 8 1975 120 280 0 24 61 118 0 154.94 53.52386 22.29566 không cao
## 409 1 1976 146 267 0 30 67 132 0 170.18 59.87414 20.67389 cao
## 410 2 1976 72 271 0 39 61 136 0 154.94 61.68851 25.69669 không cao
## 411 3 1976 118 276 0 29 62 130 1 157.48 58.96696 23.77705 không cao
## 412 4 1976 100 277 0 31 62 100 1 157.48 45.35920 18.29004 không cao
## 413 5 1976 136 299 0 29 64 115 0 162.56 52.16308 19.73949 không cao
## 414 6 1976 133 273 1 33 63 135 0 160.02 61.23492 23.91391 không cao
## 415 7 1976 130 291 0 30 65 150 1 165.10 68.03880 24.96103 không cao
## 416 8 1976 108 270 1 21 65 130 1 165.10 58.96696 21.63289 không cao
## 417 1 1977 124 275 0 22 60 130 0 152.40 58.96696 25.38860 không cao
## 418 2 1977 122 281 1 24 65 137 1 165.10 62.14210 22.79774 không cao
## 419 3 1977 99 285 0 25 69 128 1 175.26 58.05978 18.90209 cao
## 420 4 1977 104 269 0 35 63 110 1 160.02 49.89512 19.48541 không cao
## 421 5 1977 121 282 0 22 66 133 0 167.64 60.32774 21.46652 không cao
## 422 6 1977 93 267 0 25 63 135 1 160.02 61.23492 23.91391 không cao
## 423 7 1977 125 281 1 21 65 110 0 165.10 49.89512 18.30476 không cao
## 424 8 1977 122 280 1 45 62 128 0 157.48 58.05978 23.41125 không cao
## 425 1 1978 124 278 0 26 70 145 1 177.80 65.77084 20.80510 cao
## 426 2 1978 116 291 0 26 66 153 0 167.64 69.39958 24.69457 không cao
## 427 3 1978 144 281 0 20 63 120 0 160.02 54.43104 21.25681 không cao
## 428 4 1978 117 270 0 24 67 135 1 170.18 61.23492 21.14375 cao
## 429 5 1978 120 286 0 25 62 105 0 157.48 47.62716 19.20454 không cao
## 430 6 1978 101 280 1 24 65 123 1 165.10 55.79182 20.46804 không cao
## 431 7 1978 117 297 0 38 65 129 0 165.10 58.51337 21.46649 không cao
## 432 8 1978 103 268 0 32 62 97 1 157.48 43.99842 17.74134 không cao
## 433 1 1979 145 257 0 33 65 140 0 165.10 63.50288 23.29696 không cao
## 434 2 1979 127 272 0 20 64 130 1 162.56 58.96696 22.31420 không cao
## 435 3 1979 121 270 0 25 62 108 1 157.48 48.98794 19.75324 không cao
## 436 4 1979 117 267 0 29 65 120 1 165.10 54.43104 19.96882 không cao
## 437 5 1979 118 261 0 26 60 104 0 152.40 47.17357 20.31088 không cao
## 438 6 1979 118 277 0 21 64 155 0 162.56 70.30676 26.60539 không cao
## 439 7 1979 141 277 0 38 66 162 0 167.64 73.48190 26.14719 không cao
## 440 8 1979 105 312 0 41 61 115 1 154.94 52.16308 21.72882 không cao
## 441 1 1980 106 273 0 28 60 116 0 152.40 52.61667 22.65445 không cao
## 442 2 1980 90 266 0 23 61 99 1 154.94 44.90561 18.70568 không cao
## 443 3 1980 117 265 1 24 66 98 0 167.64 44.45202 15.81744 không cao
## 444 4 1980 149 279 0 25 67 135 0 170.18 61.23492 21.14375 cao
## 445 5 1980 127 304 1 26 62 105 0 157.48 47.62716 19.20454 không cao
## 446 6 1980 130 289 0 21 61 130 1 154.94 58.96696 24.56301 không cao
## 447 7 1980 130 270 1 19 66 130 0 167.64 58.96696 20.98232 không cao
## 448 8 1980 126 273 1 25 68 135 0 172.72 61.23492 20.52645 cao
## 449 1 1981 75 232 0 33 61 110 0 154.94 49.89512 20.78409 không cao
## 450 2 1981 99 273 1 27 59 115 0 149.86 52.16308 23.22693 không cao
## 451 3 1981 119 293 1 23 65 127 0 165.10 57.60618 21.13367 không cao
## 452 4 1981 135 284 0 25 66 123 0 167.64 55.79182 19.85250 không cao
## 453 5 1981 132 281 1 24 63 117 0 160.02 53.07026 20.72539 không cao
## 454 6 1981 125 288 0 22 63 128 1 160.02 58.05978 22.67393 không cao
## 455 7 1981 139 299 1 20 67 112 0 170.18 50.80230 17.54149 cao
## 456 8 1981 145 316 0 22 67 142 0 170.18 64.41006 22.24010 cao
## 457 1 1982 107 273 0 24 61 96 0 154.94 43.54483 18.13884 không cao
## 458 2 1982 144 307 1 26 66 125 0 167.64 56.69900 20.17530 không cao
## 459 3 1982 105 281 1 19 61 130 0 154.94 58.96696 24.56301 không cao
## 460 4 1982 110 283 1 21 66 129 0 167.64 58.51337 20.82091 không cao
## 461 5 1982 102 258 1 22 65 135 0 165.10 61.23492 22.46493 không cao
## 462 6 1982 140 291 1 19 65 122 0 165.10 55.33822 20.30164 không cao
## 463 7 1982 130 283 0 32 65 118 0 165.10 53.52386 19.63601 không cao
## 464 8 1982 139 293 0 34 66 131 0 167.64 59.42055 21.14372 không cao
## 465 1 1983 124 288 0 22 67 118 0 170.18 53.52386 18.48121 cao
## 466 2 1983 138 280 1 30 65 175 0 165.10 79.37860 29.12120 không cao
## 467 3 1983 125 283 0 37 63 145 1 160.02 65.77084 25.68531 không cao
## 468 4 1983 121 276 0 31 67 130 0 170.18 58.96696 20.36065 cao
## 469 5 1983 143 279 0 39 65 129 1 165.10 58.51337 21.46649 không cao
## 470 6 1983 115 290 1 19 65 118 0 165.10 53.52386 19.63601 không cao
## 471 7 1983 113 289 1 26 59 91 0 149.86 41.27687 18.37957 không cao
## 472 8 1983 124 290 0 26 65 165 0 165.10 74.84268 27.45713 không cao
## 473 1 1984 122 280 0 23 65 125 1 165.10 56.69900 20.80086 không cao
## 474 2 1984 58 245 0 34 64 156 1 162.56 70.76035 26.77704 không cao
## 475 3 1984 119 259 0 37 62 130 0 157.48 58.96696 23.77705 không cao
## 476 4 1984 142 285 1 24 66 136 0 167.64 61.68851 21.95073 không cao
## 477 5 1984 118 277 0 25 62 120 0 157.48 54.43104 21.94804 không cao
## 478 6 1984 130 293 0 26 63 123 0 160.02 55.79182 21.78823 không cao
## 479 7 1984 77 238 1 23 63 103 1 160.02 46.71998 18.24543 không cao
## 480 8 1984 121 282 0 30 65 122 0 165.10 55.33822 20.30164 không cao
## 481 1 1985 101 245 0 23 63 130 1 160.02 58.96696 23.02821 không cao
## 482 2 1985 109 265 1 24 63 107 1 160.02 48.53434 18.95399 không cao
## 483 3 1985 101 273 0 39 60 113 0 152.40 51.25590 22.06855 không cao
## 484 4 1985 104 260 0 33 64 145 0 162.56 65.77084 24.88892 không cao
## 485 5 1985 102 286 1 22 64 140 0 162.56 63.50288 24.03068 không cao
## 486 6 1985 114 277 1 31 64 125 0 162.56 56.69900 21.45596 không cao
## 487 7 1985 62 228 0 24 61 107 0 154.94 48.53434 20.21725 không cao
## 488 8 1985 126 299 1 21 60 114 0 152.40 51.70949 22.26385 không cao
## 489 1 1986 128 283 0 28 63 125 1 160.02 56.69900 22.14251 không cao
## 490 2 1986 110 277 1 19 62 160 0 157.48 72.57472 29.26406 không cao
## 491 3 1986 105 277 1 25 64 156 0 162.56 70.76035 26.77704 không cao
## 492 4 1986 138 296 0 34 66 120 0 167.64 54.43104 19.36829 không cao
## 493 5 1986 163 280 0 35 69 139 0 175.26 63.04929 20.52648 cao
## 494 6 1986 105 278 0 21 64 120 0 162.56 54.43104 20.59772 không cao
## 495 7 1986 93 245 0 33 61 100 1 154.94 45.35920 18.89463 không cao
## 496 8 1986 119 286 1 33 67 137 0 170.18 62.14210 21.45700 cao
## 497 1 1987 104 282 0 36 65 115 1 165.10 52.16308 19.13679 không cao
## 498 2 1987 129 278 0 27 63 128 0 160.02 58.05978 22.67393 không cao
## 499 3 1987 110 281 0 27 60 110 0 152.40 49.89512 21.48266 không cao
## 500 4 1987 112 278 1 21 63 120 0 160.02 54.43104 21.25681 không cao
## 501 5 1987 132 294 0 32 64 116 0 162.56 52.61667 19.91113 không cao
## 502 6 1987 101 289 1 31 60 125 0 152.40 56.69900 24.41212 không cao
## 503 7 1987 109 275 1 37 63 112 1 160.02 50.80230 19.83969 không cao
## 504 8 1987 114 277 1 19 63 107 0 160.02 48.53434 18.95399 không cao
## 505 1 1988 97 246 0 37 63 150 0 160.02 68.03880 26.57101 không cao
## 506 2 1988 150 284 0 40 67 130 0 170.18 58.96696 20.36065 cao
## 507 3 1988 100 270 1 21 65 132 1 165.10 59.87414 21.96571 không cao
## 508 4 1988 117 293 0 39 60 120 1 152.40 54.43104 23.43563 không cao
## 509 5 1988 116 276 0 33 61 180 0 154.94 81.64656 34.01033 không cao
## 510 6 1988 132 286 0 26 67 122 1 170.18 55.33822 19.10769 cao
## 511 7 1988 145 283 0 27 65 125 1 165.10 56.69900 20.80086 không cao
## 512 8 1988 118 272 0 23 64 113 0 162.56 51.25590 19.39619 không cao
## 513 1 1989 137 274 0 26 69 137 1 175.26 62.14210 20.23114 cao
## 514 2 1989 128 279 0 27 66 135 0 167.64 61.23492 21.78933 không cao
## 515 3 1989 98 284 0 29 68 140 0 172.72 63.50288 21.28669 cao
## 516 4 1989 109 282 0 25 62 106 1 157.48 48.08075 19.38744 không cao
## 517 5 1989 138 288 1 19 66 124 0 167.64 56.24541 20.01390 không cao
## 518 6 1989 112 252 0 37 64 162 0 162.56 73.48190 27.80693 không cao
## 519 7 1989 92 224 0 19 63 134 1 160.02 60.78133 23.73677 không cao
## 520 8 1989 127 295 0 36 65 145 0 165.10 65.77084 24.12900 không cao
## 521 1 1990 103 273 0 31 63 170 1 160.02 77.11064 30.11381 không cao
## 522 2 1990 142 284 1 31 66 137 1 167.64 62.14210 22.11213 không cao
## 523 3 1990 127 276 0 37 64 159 0 162.56 72.12113 27.29199 không cao
## 524 4 1990 131 266 1 28 67 135 0 170.18 61.23492 21.14375 cao
## 525 5 1990 139 279 0 20 64 143 0 162.56 64.86366 24.54562 không cao
## 526 6 1990 69 232 0 31 59 103 1 149.86 46.71998 20.80325 không cao
## 527 7 1990 120 281 0 26 61 115 0 154.94 52.16308 21.72882 không cao
## 528 8 1990 117 290 1 22 67 110 0 170.18 49.89512 17.22824 cao
## 529 1 1991 142 276 0 38 63 170 0 160.02 77.11064 30.11381 không cao
## 530 2 1991 115 268 1 31 64 125 0 162.56 56.69900 21.45596 không cao
## 531 3 1991 117 324 0 22 62 164 1 157.48 74.38909 29.99566 không cao
## 532 4 1991 120 273 0 29 64 130 1 162.56 58.96696 22.31420 không cao
## 533 5 1991 132 298 1 23 61 137 0 154.94 62.14210 25.88564 không cao
## 534 6 1991 114 264 0 26 63 110 1 160.02 49.89512 19.48541 không cao
## 535 7 1991 135 284 0 39 67 141 0 170.18 63.95647 22.08348 cao
## 536 8 1991 137 277 0 41 65 126 0 165.10 57.15259 20.96727 không cao
## 537 1 1992 130 289 0 27 66 130 0 167.64 58.96696 20.98232 không cao
## 538 2 1992 108 283 0 35 62 108 0 157.48 48.98794 19.75324 không cao
## 539 3 1992 122 278 0 37 68 114 0 172.72 51.70949 17.33345 cao
## 540 4 1992 116 270 0 29 63 132 0 160.02 59.87414 23.38249 không cao
## 541 5 1992 87 282 0 27 63 104 1 160.02 47.17357 18.42257 không cao
## 542 6 1992 123 267 0 29 63 111 1 160.02 50.34871 19.66255 không cao
## 543 7 1992 113 287 0 36 63 118 0 160.02 53.52386 20.90253 không cao
## 544 8 1992 133 292 0 29 65 135 0 165.10 61.23492 22.46493 không cao
## 545 1 1993 156 292 0 26 63 118 0 160.02 53.52386 20.90253 không cao
## 546 2 1993 139 281 0 27 63 137 0 160.02 62.14210 24.26819 không cao
## 547 3 1993 122 273 1 23 64 130 1 162.56 58.96696 22.31420 không cao
## 548 4 1993 140 290 0 23 65 110 0 165.10 49.89512 18.30476 không cao
## 549 5 1993 131 297 0 30 67 132 0 170.18 59.87414 20.67389 cao
## 550 6 1993 129 284 1 20 66 130 1 167.64 58.96696 20.98232 không cao
## 551 7 1993 126 251 1 28 64 123 0 162.56 55.79182 21.11267 không cao
## 552 8 1993 100 264 0 28 60 111 1 152.40 50.34871 21.67796 không cao
## 553 1 1994 133 284 0 25 66 125 1 167.64 56.69900 20.17530 không cao
## 554 2 1994 115 275 0 25 61 155 1 154.94 70.30676 29.28667 không cao
## 555 3 1994 118 281 1 36 66 140 1 167.64 63.50288 22.59634 không cao
## 556 4 1994 103 273 1 22 64 110 1 162.56 49.89512 18.88125 không cao
## 557 5 1994 130 282 0 26 67 147 1 170.18 66.67802 23.02320 cao
## 558 6 1994 114 283 1 15 64 117 1 162.56 53.07026 20.08278 không cao
## 559 7 1994 143 270 1 27 70 148 0 177.80 67.13162 21.23555 cao
## 560 8 1994 107 273 1 26 65 135 0 165.10 61.23492 22.46493 không cao
## 561 1 1995 120 274 0 24 62 120 0 157.48 54.43104 21.94804 không cao
## 562 2 1995 136 288 0 23 62 217 0 157.48 98.42946 39.68938 không cao
## 563 3 1995 137 303 1 23 66 127 1 167.64 57.60618 20.49811 không cao
## 564 4 1995 120 279 1 23 67 135 0 170.18 61.23492 21.14375 cao
## 565 5 1995 123 290 0 28 66 107 1 167.64 48.53434 17.27006 không cao
## 566 6 1995 115 290 0 31 62 95 0 157.48 43.09124 17.37553 không cao
## 567 7 1995 128 282 1 25 64 125 0 162.56 56.69900 21.45596 không cao
## 568 8 1995 115 276 1 20 62 105 1 157.48 47.62716 19.20454 không cao
## 569 1 1996 91 270 0 24 60 149 1 152.40 67.58521 29.09924 không cao
## 570 2 1996 163 289 1 25 64 126 1 162.56 57.15259 21.62761 không cao
## 571 3 1996 120 275 0 32 63 115 1 160.02 52.16308 20.37111 không cao
## 572 4 1996 139 260 1 32 64 127 0 162.56 57.60618 21.79926 không cao
## 573 5 1996 115 276 1 18 63 110 0 160.02 49.89512 19.48541 không cao
## 574 6 1996 98 272 1 35 64 129 0 162.56 58.51337 22.14255 không cao
## 575 7 1996 98 262 0 22 67 120 0 170.18 54.43104 18.79445 cao
## 576 8 1996 91 292 1 26 61 113 1 154.94 51.25590 21.35093 không cao
## 577 1 1997 127 274 0 21 62 110 0 157.48 49.89512 20.11904 không cao
## 578 2 1997 131 285 0 26 64 130 0 162.56 58.96696 22.31420 không cao
## 579 3 1997 143 285 0 27 68 185 0 172.72 83.91452 28.12884 cao
## 580 4 1997 123 254 0 26 62 130 1 157.48 58.96696 23.77705 không cao
## 581 5 1997 116 272 0 27 64 130 1 162.56 58.96696 22.31420 không cao
## 582 6 1997 128 283 0 27 67 126 0 170.18 57.15259 19.73417 cao
## 583 7 1997 110 306 1 32 61 122 0 154.94 55.33822 23.05144 không cao
## 584 8 1997 112 287 0 27 64 110 1 162.56 49.89512 18.88125 không cao
## 585 1 1998 153 286 0 26 63 107 1 160.02 48.53434 18.95399 không cao
## 586 2 1998 77 238 0 38 67 135 1 170.18 61.23492 21.14375 cao
## 587 3 1998 108 270 0 29 67 124 1 170.18 56.24541 19.42093 cao
## 588 4 1998 104 280 1 23 64 107 1 162.56 48.53434 18.36630 không cao
## 589 5 1998 119 286 1 20 67 130 0 170.18 58.96696 20.36065 cao
## 590 6 1998 119 271 0 28 64 175 1 162.56 79.37860 30.03835 không cao
## 591 7 1998 162 284 0 27 64 126 0 162.56 57.15259 21.62761 không cao
## 592 8 1998 125 289 1 31 61 120 0 154.94 54.43104 22.67355 không cao
## 593 1 1999 121 276 0 39 63 130 0 160.02 58.96696 23.02821 không cao
## 594 2 1999 124 283 1 33 67 156 1 170.18 70.76035 24.43278 cao
## 595 3 1999 131 284 1 19 61 114 1 154.94 51.70949 21.53987 không cao
## 596 4 1999 111 270 0 22 59 103 0 149.86 46.71998 20.80325 không cao
## 597 5 1999 125 279 1 19 67 135 0 170.18 61.23492 21.14375 cao
## 598 6 1999 154 288 0 25 65 147 0 165.10 66.67802 24.46181 không cao
## 599 7 1999 116 292 1 20 65 118 0 165.10 53.52386 19.63601 không cao
## 600 8 1999 157 291 0 33 65 121 0 165.10 54.88463 20.13523 không cao
## 601 1 2000 120 277 0 27 63 126 0 160.02 57.15259 22.31965 không cao
## 602 2 2000 104 270 1 26 62 115 0 157.48 52.16308 21.03354 không cao
## 603 3 2000 110 277 0 36 61 116 0 154.94 52.61667 21.91777 không cao
## 604 4 2000 122 277 0 32 63 157 1 160.02 71.21394 27.81099 không cao
## 605 5 2000 144 282 0 33 66 155 1 167.64 70.30676 25.01738 không cao
## 606 6 2000 127 247 1 21 63 140 0 160.02 63.50288 24.79961 không cao
## 607 7 2000 128 284 0 23 62 110 0 157.48 49.89512 20.11904 không cao
## 608 8 2000 108 256 1 26 67 130 0 170.18 58.96696 20.36065 cao
## 609 1 2001 99 272 0 27 62 103 1 157.48 46.71998 18.83874 không cao
## 610 2 2001 102 267 1 24 61 109 1 154.94 49.44153 20.59514 không cao
## 611 3 2001 105 276 0 20 62 112 1 157.48 50.80230 20.48484 không cao
## 612 4 2001 116 271 1 30 67 144 1 170.18 65.31725 22.55334 cao
## 613 5 2001 123 269 0 26 67 132 0 170.18 59.87414 20.67389 cao
## 614 6 2001 131 263 0 29 64 180 1 162.56 81.64656 30.89659 không cao
## 615 7 2001 111 275 1 18 61 108 1 154.94 48.98794 20.40620 không cao
## 616 8 2001 130 279 0 31 62 122 0 157.48 55.33822 22.31384 không cao
## 617 1 2002 149 293 0 35 65 116 0 165.10 52.61667 19.30320 không cao
## 618 2 2002 94 268 0 30 62 105 1 157.48 47.62716 19.20454 không cao
## 619 3 2002 125 255 0 23 63 133 0 160.02 60.32774 23.55963 không cao
## 620 4 2002 129 277 0 27 68 130 1 172.72 58.96696 19.76621 cao
## 621 5 2002 120 276 0 23 66 114 0 167.64 51.70949 18.39988 không cao
## 622 6 2002 129 288 0 28 59 102 0 149.86 46.26638 20.60128 không cao
## 623 7 2002 137 280 0 34 60 107 0 152.40 48.53434 20.89677 không cao
## 624 8 2002 135 289 0 25 64 127 0 162.56 57.60618 21.79926 không cao
## 625 1 2003 129 280 0 23 64 104 0 162.56 47.17357 17.85136 không cao
## 626 2 2003 158 295 1 37 70 137 0 177.80 62.14210 19.65724 cao
## 627 3 2003 78 258 1 24 66 115 1 167.64 52.16308 18.56128 không cao
## 628 4 2003 133 292 0 30 65 112 1 165.10 50.80230 18.63757 không cao
## 629 5 2003 140 251 0 28 63 210 0 160.02 95.25432 37.19942 không cao
## 630 6 2003 114 286 1 22 64 116 1 162.56 52.61667 19.91113 không cao
## 631 7 2003 100 264 0 29 64 120 1 162.56 54.43104 20.59772 không cao
## 632 8 2003 123 277 0 24 66 122 0 167.64 55.33822 19.69110 không cao
## 633 1 2004 139 292 0 25 68 135 0 172.72 61.23492 20.52645 cao
## 634 2 2004 112 275 1 21 68 143 1 172.72 64.86366 21.74283 cao
## 635 3 2004 114 289 0 36 60 115 0 152.40 52.16308 22.45915 không cao
## 636 4 2004 110 277 0 25 61 130 0 154.94 58.96696 24.56301 không cao
## 637 5 2004 120 271 1 17 64 142 1 162.56 64.41006 24.37397 không cao
## 638 6 2004 110 280 0 29 62 110 1 157.48 49.89512 20.11904 không cao
## 639 7 2004 160 271 0 32 67 215 0 170.18 97.52228 33.67339 cao
## 640 8 2004 100 281 0 24 61 115 0 154.94 52.16308 21.72882 không cao
# Thêm biến xác định cân nặng của phụ nữ mang thai có phù hợp không
# Đánh giá dựa trên tiêu chuẩn bmi
tcdat$tieuchuan <- case_when(tcdat$bmi < 18.5 ~ 'gầy',tcdat$bmi >= 18.5 & tcdat$bmi <= 24.5 ~ 'bình thường', tcdat$bmi >= 25 & tcdat$bmi <= 29.9 ~ 'thừa cân', tcdat$bmi >=30 ~ 'béo phì')
tcdat
## I y B G P A H W S cm kg bmi chieucao tieuchuan
## 1 1 1925 120 284 0 27 62 100 0 157.48 45.35920 18.29004 không cao gầy
## 2 2 1925 112 267 1 22 62 138 0 157.48 62.59570 25.24025 không cao thừa cân
## 3 3 1925 119 286 0 26 64 123 1 162.56 55.79182 21.11267 không cao bình thường
## 4 4 1925 124 287 0 27 62 105 1 157.48 47.62716 19.20454 không cao bình thường
## 5 5 1925 105 276 0 22 67 130 0 170.18 58.96696 20.36065 cao bình thường
## 6 6 1925 120 289 1 31 59 102 0 149.86 46.26638 20.60128 không cao bình thường
## 7 7 1925 82 274 0 31 64 101 1 162.56 45.81279 17.33642 không cao gầy
## 8 8 1925 111 278 0 29 65 145 1 165.10 65.77084 24.12900 không cao bình thường
## 9 1 1926 113 282 0 33 64 135 0 162.56 61.23492 23.17244 không cao bình thường
## 10 2 1926 134 297 0 27 67 170 1 170.18 77.11064 26.62547 cao thừa cân
## 11 3 1926 97 279 0 29 68 178 1 172.72 80.73938 27.06451 cao thừa cân
## 12 4 1926 125 292 0 22 65 122 0 165.10 55.33822 20.30164 không cao bình thường
## 13 5 1926 93 246 0 37 65 130 0 165.10 58.96696 21.63289 không cao bình thường
## 14 6 1926 146 280 0 23 61 145 0 154.94 65.77084 27.39721 không cao thừa cân
## 15 7 1926 100 274 0 24 63 113 0 160.02 51.25590 20.01683 không cao bình thường
## 16 8 1926 103 250 0 40 59 140 0 149.86 63.50288 28.27626 không cao thừa cân
## 17 1 1927 128 279 0 28 64 115 1 162.56 52.16308 19.73949 không cao bình thường
## 18 2 1927 145 308 0 35 64 110 1 162.56 49.89512 18.88125 không cao bình thường
## 19 3 1927 99 252 0 21 64 120 0 162.56 54.43104 20.59772 không cao bình thường
## 20 4 1927 110 262 0 25 66 140 0 167.64 63.50288 22.59634 không cao bình thường
## 21 5 1927 122 281 0 42 63 103 1 160.02 46.71998 18.24543 không cao gầy
## 22 6 1927 112 283 1 21 62 102 1 157.48 46.26638 18.65584 không cao bình thường
## 23 7 1927 114 271 0 32 61 130 0 154.94 58.96696 24.56301 không cao <NA>
## 24 8 1927 114 276 0 26 62 127 0 157.48 57.60618 23.22835 không cao bình thường
## 25 1 1928 108 282 0 23 67 125 1 170.18 56.69900 19.57755 cao bình thường
## 26 2 1928 116 295 0 32 65 120 0 165.10 54.43104 19.96882 không cao bình thường
## 27 3 1928 115 264 1 23 67 134 1 170.18 60.78133 20.98713 cao bình thường
## 28 4 1928 125 279 0 23 63 104 1 160.02 47.17357 18.42257 không cao gầy
## 29 5 1928 133 293 0 23 64 110 1 162.56 49.89512 18.88125 không cao bình thường
## 30 6 1928 132 278 0 20 64 150 1 162.56 68.03880 25.74716 không cao thừa cân
## 31 7 1928 97 269 0 20 65 137 1 165.10 62.14210 22.79774 không cao bình thường
## 32 8 1928 75 247 0 36 64 120 1 162.56 54.43104 20.59772 không cao bình thường
## 33 1 1929 136 286 0 25 62 93 0 157.48 42.18406 17.00973 không cao gầy
## 34 2 1929 126 278 0 26 64 150 1 162.56 68.03880 25.74716 không cao thừa cân
## 35 3 1929 139 284 0 37 61 121 0 154.94 54.88463 22.86250 không cao bình thường
## 36 4 1929 138 294 0 40 64 125 0 162.56 56.69900 21.45596 không cao bình thường
## 37 5 1929 130 296 1 22 66 117 1 167.64 53.07026 18.88408 không cao bình thường
## 38 6 1929 146 263 0 39 53 110 1 134.62 49.89512 27.53207 không cao thừa cân
## 39 7 1929 126 298 0 24 61 112 0 154.94 50.80230 21.16198 không cao bình thường
## 40 8 1929 169 296 0 33 67 185 0 170.18 83.91452 28.97478 cao thừa cân
## 41 1 1930 138 244 0 33 62 178 0 157.48 80.73938 32.55627 không cao béo phì
## 42 2 1930 111 285 0 29 65 130 0 165.10 58.96696 21.63289 không cao bình thường
## 43 3 1930 144 304 1 27 58 102 1 147.32 46.26638 21.31779 không cao bình thường
## 44 4 1930 142 284 0 39 66 132 0 167.64 59.87414 21.30512 không cao bình thường
## 45 5 1930 104 307 0 24 59 122 0 149.86 55.33822 24.64074 không cao <NA>
## 46 6 1930 122 275 0 30 68 140 0 172.72 63.50288 21.28669 cao bình thường
## 47 7 1930 122 275 1 20 65 127 0 165.10 57.60618 21.13367 không cao bình thường
## 48 8 1930 94 271 0 36 61 130 1 154.94 58.96696 24.56301 không cao <NA>
## 49 1 1931 132 245 0 23 65 140 0 165.10 63.50288 23.29696 không cao bình thường
## 50 2 1931 126 282 0 33 62 117 0 157.48 53.07026 21.39934 không cao bình thường
## 51 3 1931 99 270 0 22 63 115 1 160.02 52.16308 20.37111 không cao bình thường
## 52 4 1931 115 278 0 23 60 102 1 152.40 46.26638 19.92029 không cao bình thường
## 53 5 1931 106 278 0 31 65 110 1 165.10 49.89512 18.30476 không cao gầy
## 54 6 1931 128 292 0 32 66 130 0 167.64 58.96696 20.98232 không cao bình thường
## 55 7 1931 152 295 0 39 62 140 0 157.48 63.50288 25.60605 không cao thừa cân
## 56 8 1931 150 287 0 36 62 135 0 157.48 61.23492 24.69155 không cao <NA>
## 57 1 1932 120 289 0 25 62 125 0 157.48 56.69900 22.86255 không cao bình thường
## 58 2 1932 109 291 0 39 64 107 0 162.56 48.53434 18.36630 không cao gầy
## 59 3 1932 105 280 1 22 63 116 0 160.02 52.61667 20.54825 không cao bình thường
## 60 4 1932 102 280 0 38 67 140 0 170.18 63.50288 21.92686 cao bình thường
## 61 5 1932 120 281 0 33 63 113 0 160.02 51.25590 20.01683 không cao bình thường
## 62 6 1932 119 277 0 24 63 120 1 160.02 54.43104 21.25681 không cao bình thường
## 63 7 1932 116 274 0 21 62 110 1 157.48 49.89512 20.11904 không cao bình thường
## 64 8 1932 144 248 0 30 70 145 0 177.80 65.77084 20.80510 cao bình thường
## 65 1 1933 143 299 0 30 66 136 1 167.64 61.68851 21.95073 không cao bình thường
## 66 2 1933 136 291 0 41 66 191 0 167.64 86.63607 30.82787 không cao béo phì
## 67 3 1933 89 275 0 34 66 170 0 167.64 77.11064 27.43841 không cao thừa cân
## 68 4 1933 140 294 0 25 61 103 0 154.94 46.71998 19.46146 không cao bình thường
## 69 5 1933 118 276 1 18 63 128 0 160.02 58.05978 22.67393 không cao bình thường
## 70 6 1933 135 278 0 27 66 148 0 167.64 67.13162 23.88756 không cao bình thường
## 71 7 1933 132 302 0 36 63 145 1 160.02 65.77084 25.68531 không cao thừa cân
## 72 8 1933 144 291 0 28 67 130 0 170.18 58.96696 20.36065 cao bình thường
## 73 1 1934 140 351 0 27 68 120 0 172.72 54.43104 18.24574 cao gầy
## 74 2 1934 119 286 0 22 63 185 1 160.02 83.91452 32.77092 không cao béo phì
## 75 3 1934 129 270 0 43 67 160 0 170.18 72.57472 25.05927 cao thừa cân
## 76 4 1934 133 276 1 22 63 119 0 160.02 53.97745 21.07967 không cao bình thường
## 77 5 1934 140 290 1 19 67 132 1 170.18 59.87414 20.67389 cao bình thường
## 78 6 1934 129 235 0 24 66 135 0 167.64 61.23492 21.78933 không cao bình thường
## 79 7 1934 84 260 1 37 66 140 0 167.64 63.50288 22.59634 không cao bình thường
## 80 8 1934 143 313 0 20 68 150 0 172.72 68.03880 22.80717 cao bình thường
## 81 1 1935 144 282 0 32 64 124 1 162.56 56.24541 21.28432 không cao bình thường
## 82 2 1935 103 267 1 21 66 150 1 167.64 68.03880 24.21037 không cao bình thường
## 83 3 1935 119 270 1 20 64 109 0 162.56 49.44153 18.70960 không cao bình thường
## 84 4 1935 127 290 0 35 66 165 0 167.64 74.84268 26.63140 không cao thừa cân
## 85 5 1935 114 268 0 22 64 104 0 162.56 47.17357 17.85136 không cao gầy
## 86 6 1935 116 293 1 28 62 108 0 157.48 48.98794 19.75324 không cao bình thường
## 87 7 1935 119 277 1 18 61 89 1 154.94 40.36969 16.81622 không cao gầy
## 88 8 1935 145 304 1 25 63 109 1 160.02 49.44153 19.30827 không cao bình thường
## 89 1 1936 141 279 0 23 63 128 1 160.02 58.05978 22.67393 không cao bình thường
## 90 2 1936 124 284 1 17 62 112 0 157.48 50.80230 20.48484 không cao bình thường
## 91 3 1936 114 291 0 35 60 112 0 152.40 50.80230 21.87326 không cao bình thường
## 92 4 1936 104 274 1 20 62 115 1 157.48 52.16308 21.03354 không cao bình thường
## 93 5 1936 116 280 0 40 62 159 0 157.48 72.12113 29.08116 không cao thừa cân
## 94 6 1936 100 275 0 27 64 111 1 162.56 50.34871 19.05290 không cao bình thường
## 95 7 1936 106 312 0 24 62 135 1 157.48 61.23492 24.69155 không cao <NA>
## 96 8 1936 121 285 0 34 64 110 0 162.56 49.89512 18.88125 không cao bình thường
## 97 1 1937 110 281 0 36 61 99 1 154.94 44.90561 18.70568 không cao bình thường
## 98 2 1937 155 286 0 31 66 127 0 167.64 57.60618 20.49811 không cao bình thường
## 99 3 1937 106 289 0 28 67 120 1 170.18 54.43104 18.79445 cao bình thường
## 100 4 1937 119 275 0 42 67 156 1 170.18 70.76035 24.43278 cao bình thường
## 101 5 1937 129 284 0 24 64 115 0 162.56 52.16308 19.73949 không cao bình thường
## 102 6 1937 138 257 0 38 67 138 0 170.18 62.59570 21.61362 cao bình thường
## 103 7 1937 139 291 0 24 65 160 0 165.10 72.57472 26.62510 không cao thừa cân
## 104 8 1937 105 256 0 31 66 142 0 167.64 64.41006 22.91915 không cao bình thường
## 105 1 1938 114 273 0 30 63 154 0 160.02 69.85317 27.27957 không cao thừa cân
## 106 2 1938 122 282 1 21 66 110 0 167.64 49.89512 17.75427 không cao gầy
## 107 3 1938 122 292 1 34 65 133 0 165.10 60.32774 22.13211 không cao bình thường
## 108 4 1938 152 301 0 29 65 150 0 165.10 68.03880 24.96103 không cao <NA>
## 109 5 1938 120 286 0 22 62 115 1 157.48 52.16308 21.03354 không cao bình thường
## 110 6 1938 123 282 0 22 65 130 0 165.10 58.96696 21.63289 không cao bình thường
## 111 7 1938 103 273 0 36 65 158 1 165.10 71.66754 26.29228 không cao thừa cân
## 112 8 1938 134 286 0 25 64 125 0 162.56 56.69900 21.45596 không cao bình thường
## 113 1 1939 115 285 0 38 63 130 0 160.02 58.96696 23.02821 không cao bình thường
## 114 2 1939 113 285 0 26 66 140 0 167.64 63.50288 22.59634 không cao bình thường
## 115 3 1939 136 261 0 24 65 110 0 165.10 49.89512 18.30476 không cao gầy
## 116 4 1939 123 284 1 20 65 120 1 165.10 54.43104 19.96882 không cao bình thường
## 117 5 1939 127 281 0 24 63 112 1 160.02 50.80230 19.83969 không cao bình thường
## 118 6 1939 113 288 1 21 61 120 0 154.94 54.43104 22.67355 không cao bình thường
## 119 7 1939 112 299 0 24 67 145 1 170.18 65.77084 22.70996 cao bình thường
## 120 8 1939 129 294 1 21 65 132 0 165.10 59.87414 21.96571 không cao bình thường
## 121 1 1940 92 255 0 25 65 125 1 165.10 56.69900 20.80086 không cao bình thường
## 122 2 1940 122 273 0 26 66 210 0 167.64 95.25432 33.89451 không cao béo phì
## 123 3 1940 121 286 1 22 69 130 1 175.26 58.96696 19.19743 cao bình thường
## 124 4 1940 143 273 0 19 66 135 0 167.64 61.23492 21.78933 không cao bình thường
## 125 5 1940 71 234 0 32 64 110 1 162.56 49.89512 18.88125 không cao bình thường
## 126 6 1940 129 280 1 24 65 140 1 165.10 63.50288 23.29696 không cao bình thường
## 127 7 1940 96 276 0 33 64 127 1 162.56 57.60618 21.79926 không cao bình thường
## 128 8 1940 114 276 0 24 63 110 0 160.02 49.89512 19.48541 không cao bình thường
## 129 1 1941 115 261 0 33 60 125 1 152.40 56.69900 24.41212 không cao bình thường
## 130 2 1941 126 293 1 27 62 111 0 157.48 50.34871 20.30194 không cao bình thường
## 131 3 1941 112 282 0 26 65 122 0 165.10 55.33822 20.30164 không cao bình thường
## 132 4 1941 131 308 0 40 65 160 0 165.10 72.57472 26.62510 không cao thừa cân
## 133 5 1941 88 274 0 30 66 130 0 167.64 58.96696 20.98232 không cao bình thường
## 134 6 1941 122 280 0 24 67 127 1 170.18 57.60618 19.89079 cao bình thường
## 135 7 1941 102 281 1 19 67 135 1 170.18 61.23492 21.14375 cao bình thường
## 136 8 1941 97 265 0 30 61 110 0 154.94 49.89512 20.78409 không cao bình thường
## 137 1 1942 144 261 0 33 68 170 0 172.72 77.11064 25.84813 cao thừa cân
## 138 2 1942 116 277 0 41 64 124 1 162.56 56.24541 21.28432 không cao bình thường
## 139 3 1942 112 266 0 26 64 122 0 162.56 55.33822 20.94102 không cao bình thường
## 140 4 1942 141 319 1 20 67 140 1 170.18 63.50288 21.92686 cao bình thường
## 141 5 1942 122 286 0 23 64 145 0 162.56 65.77084 24.88892 không cao <NA>
## 142 6 1942 132 281 1 21 67 140 0 170.18 63.50288 21.92686 cao bình thường
## 143 7 1942 120 300 0 34 63 150 1 160.02 68.03880 26.57101 không cao thừa cân
## 144 8 1942 160 292 0 28 64 120 0 162.56 54.43104 20.59772 không cao bình thường
## 145 1 1943 119 288 0 43 66 142 1 167.64 64.41006 22.91915 không cao bình thường
## 146 2 1943 102 294 0 21 65 130 1 165.10 58.96696 21.63289 không cao bình thường
## 147 3 1943 123 314 0 22 61 121 1 154.94 54.88463 22.86250 không cao bình thường
## 148 4 1943 129 277 0 30 66 142 1 167.64 64.41006 22.91915 không cao bình thường
## 149 5 1943 106 302 1 19 66 147 0 167.64 66.67802 23.72616 không cao bình thường
## 150 6 1943 120 269 1 40 63 130 0 160.02 58.96696 23.02821 không cao bình thường
## 151 7 1943 102 338 0 19 64 170 0 162.56 77.11064 29.18011 không cao thừa cân
## 152 8 1943 65 237 0 31 67 130 0 170.18 58.96696 20.36065 cao bình thường
## 153 1 1944 105 270 0 22 56 93 0 142.24 42.18406 20.84994 không cao bình thường
## 154 2 1944 110 181 0 27 64 133 0 162.56 60.32774 22.82914 không cao bình thường
## 155 3 1944 139 286 0 33 65 125 1 165.10 56.69900 20.80086 không cao bình thường
## 156 4 1944 113 282 1 36 59 140 0 149.86 63.50288 28.27626 không cao thừa cân
## 157 5 1944 135 285 0 30 66 130 0 167.64 58.96696 20.98232 không cao bình thường
## 158 6 1944 114 283 1 20 65 115 0 165.10 52.16308 19.13679 không cao bình thường
## 159 7 1944 97 255 1 22 63 107 1 160.02 48.53434 18.95399 không cao bình thường
## 160 8 1944 145 288 0 28 64 116 0 162.56 52.61667 19.91113 không cao bình thường
## 161 1 1945 115 274 0 27 67 175 1 170.18 79.37860 27.40857 cao thừa cân
## 162 2 1945 133 285 1 30 64 160 0 162.56 72.57472 27.46363 không cao thừa cân
## 163 3 1945 125 290 0 36 59 105 0 149.86 47.62716 21.20719 không cao bình thường
## 164 4 1945 119 292 0 33 62 118 1 157.48 53.52386 21.58224 không cao bình thường
## 165 5 1945 107 290 0 26 63 112 0 160.02 50.80230 19.83969 không cao bình thường
## 166 6 1945 130 280 0 29 66 135 0 167.64 61.23492 21.78933 không cao bình thường
## 167 7 1945 113 285 0 22 70 145 0 177.80 65.77084 20.80510 cao bình thường
## 168 8 1945 95 273 0 23 60 90 0 152.40 40.82328 17.57673 không cao gầy
## 169 1 1946 137 287 0 25 66 145 0 167.64 65.77084 23.40335 không cao bình thường
## 170 2 1946 125 283 0 29 65 125 0 165.10 56.69900 20.80086 không cao bình thường
## 171 3 1946 105 295 1 20 64 112 1 162.56 50.80230 19.22454 không cao bình thường
## 172 4 1946 109 295 1 23 63 103 1 160.02 46.71998 18.24543 không cao gầy
## 173 5 1946 129 294 0 32 62 170 1 157.48 77.11064 31.09306 không cao béo phì
## 174 6 1946 117 286 0 32 66 127 1 167.64 57.60618 20.49811 không cao bình thường
## 175 7 1946 130 297 0 32 58 130 0 147.32 58.96696 27.16973 không cao thừa cân
## 176 8 1946 139 293 1 21 69 130 0 175.26 58.96696 19.19743 cao bình thường
## 177 1 1947 122 276 0 30 68 182 0 172.72 82.55374 27.67270 cao thừa cân
## 178 2 1947 164 286 1 32 66 143 0 167.64 64.86366 23.08055 không cao bình thường
## 179 3 1947 130 276 0 41 68 130 0 172.72 58.96696 19.76621 cao bình thường
## 180 4 1947 104 280 1 27 68 146 1 172.72 66.22443 22.19898 cao bình thường
## 181 5 1947 126 274 0 39 62 122 0 157.48 55.33822 22.31384 không cao bình thường
## 182 6 1947 142 285 0 33 63 124 0 160.02 56.24541 21.96537 không cao bình thường
## 183 7 1947 97 260 1 25 63 115 1 160.02 52.16308 20.37111 không cao bình thường
## 184 8 1947 123 288 0 27 63 125 0 160.02 56.69900 22.14251 không cao bình thường
## 185 1 1948 131 294 0 23 65 122 0 165.10 55.33822 20.30164 không cao bình thường
## 186 2 1948 133 297 0 36 61 125 0 154.94 56.69900 23.61828 không cao bình thường
## 187 3 1948 146 294 0 22 66 145 1 167.64 65.77084 23.40335 không cao bình thường
## 188 4 1948 131 282 1 21 66 126 0 167.64 57.15259 20.33671 không cao bình thường
## 189 5 1948 116 293 1 26 64 125 0 162.56 56.69900 21.45596 không cao bình thường
## 190 6 1948 144 273 0 27 62 118 1 157.48 53.52386 21.58224 không cao bình thường
## 191 7 1948 116 273 0 31 61 120 0 154.94 54.43104 22.67355 không cao bình thường
## 192 8 1948 109 283 0 23 65 112 1 165.10 50.80230 18.63757 không cao bình thường
## 193 1 1949 103 261 0 27 65 112 1 165.10 50.80230 18.63757 không cao bình thường
## 194 2 1949 124 293 1 19 65 150 0 165.10 68.03880 24.96103 không cao <NA>
## 195 3 1949 133 290 0 21 64 145 0 162.56 65.77084 24.88892 không cao <NA>
## 196 4 1949 110 293 1 28 64 135 1 162.56 61.23492 23.17244 không cao bình thường
## 197 5 1949 124 294 0 26 62 122 0 157.48 55.33822 22.31384 không cao bình thường
## 198 6 1949 127 262 1 32 64 125 0 162.56 56.69900 21.45596 không cao bình thường
## 199 7 1949 114 266 0 29 64 113 0 162.56 51.25590 19.39619 không cao bình thường
## 200 8 1949 110 268 0 34 64 127 0 162.56 57.60618 21.79926 không cao bình thường
## 201 1 1950 146 280 0 26 58 106 0 147.32 48.08075 22.15378 không cao bình thường
## 202 2 1950 122 306 1 22 62 100 0 157.48 45.35920 18.29004 không cao gầy
## 203 3 1950 147 296 1 19 67 124 0 170.18 56.24541 19.42093 cao bình thường
## 204 4 1950 148 279 0 27 71 189 0 180.34 85.72889 26.35986 cao thừa cân
## 205 5 1950 123 281 0 23 68 136 0 172.72 61.68851 20.67850 cao bình thường
## 206 6 1950 115 270 0 25 67 165 1 170.18 74.84268 25.84237 cao thừa cân
## 207 7 1950 127 242 0 17 61 135 1 154.94 61.23492 25.50774 không cao thừa cân
## 208 8 1950 122 296 1 24 65 132 0 165.10 59.87414 21.96571 không cao bình thường
## 209 1 1951 114 266 0 20 65 175 1 165.10 79.37860 29.12120 không cao thừa cân
## 210 2 1951 121 271 1 34 63 129 1 160.02 58.51337 22.85107 không cao bình thường
## 211 3 1951 109 269 0 23 63 113 0 160.02 51.25590 20.01683 không cao bình thường
## 212 4 1951 137 283 1 20 65 157 0 165.10 71.21394 26.12588 không cao thừa cân
## 213 5 1951 145 315 0 39 67 143 1 170.18 64.86366 22.39672 cao bình thường
## 214 6 1951 85 258 0 41 67 137 0 170.18 62.14210 21.45700 cao bình thường
## 215 7 1951 87 247 1 18 66 125 1 167.64 56.69900 20.17530 không cao bình thường
## 216 8 1951 115 307 0 34 65 128 1 165.10 58.05978 21.30008 không cao bình thường
## 217 1 1952 125 292 0 32 65 125 0 165.10 56.69900 20.80086 không cao bình thường
## 218 2 1952 100 272 0 30 64 150 1 162.56 68.03880 25.74716 không cao thừa cân
## 219 3 1952 122 286 0 23 64 120 1 162.56 54.43104 20.59772 không cao bình thường
## 220 4 1952 117 283 0 27 63 108 0 160.02 48.98794 19.13113 không cao bình thường
## 221 5 1952 102 278 0 27 67 135 1 170.18 61.23492 21.14375 cao bình thường
## 222 6 1952 99 274 0 28 66 118 1 167.64 53.52386 19.04549 không cao bình thường
## 223 7 1952 141 281 0 29 54 156 1 137.16 70.76035 37.61275 không cao béo phì
## 224 8 1952 108 279 1 19 64 115 0 162.56 52.16308 19.73949 không cao bình thường
## 225 1 1953 114 274 0 28 66 132 1 167.64 59.87414 21.30512 không cao bình thường
## 226 2 1953 90 266 1 26 67 135 0 170.18 61.23492 21.14375 cao bình thường
## 227 3 1953 135 260 0 43 65 135 0 165.10 61.23492 22.46493 không cao bình thường
## 228 4 1953 115 302 1 22 67 135 0 170.18 61.23492 21.14375 cao bình thường
## 229 5 1953 129 293 0 30 65 130 1 165.10 58.96696 21.63289 không cao bình thường
## 230 6 1953 123 323 1 17 64 140 0 162.56 63.50288 24.03068 không cao bình thường
## 231 7 1953 144 283 1 25 66 140 0 167.64 63.50288 22.59634 không cao bình thường
## 232 8 1953 120 287 0 23 67 116 1 170.18 52.61667 18.16797 cao gầy
## 233 1 1954 122 270 0 26 61 105 0 154.94 47.62716 19.83936 không cao bình thường
## 234 2 1954 128 272 1 18 67 109 0 170.18 49.44153 17.07162 cao gầy
## 235 3 1954 117 272 0 32 66 118 0 167.64 53.52386 19.04549 không cao bình thường
## 236 4 1954 98 280 0 35 64 122 1 162.56 55.33822 20.94102 không cao bình thường
## 237 5 1954 98 276 1 22 61 121 0 154.94 54.88463 22.86250 không cao bình thường
## 238 6 1954 112 281 1 23 61 150 0 154.94 68.03880 28.34194 không cao thừa cân
## 239 7 1954 116 273 0 33 66 130 1 167.64 58.96696 20.98232 không cao bình thường
## 240 8 1954 131 269 0 36 68 145 0 172.72 65.77084 22.04693 cao bình thường
## 241 1 1955 93 278 0 34 61 146 0 154.94 66.22443 27.58615 không cao thừa cân
## 242 2 1955 86 276 1 23 65 125 1 165.10 56.69900 20.80086 không cao bình thường
## 243 3 1955 138 284 0 30 66 133 1 167.64 60.32774 21.46652 không cao bình thường
## 244 4 1955 136 303 1 20 68 148 1 172.72 67.13162 22.50307 cao bình thường
## 245 5 1955 110 272 0 28 60 108 0 152.40 48.98794 21.09207 không cao bình thường
## 246 6 1955 68 223 0 32 66 149 1 167.64 67.58521 24.04896 không cao bình thường
## 247 7 1955 75 265 0 21 65 103 1 165.10 46.71998 17.13991 không cao gầy
## 248 8 1955 136 283 1 24 63 119 0 160.02 53.97745 21.07967 không cao bình thường
## 249 1 1956 130 268 0 30 66 123 0 167.64 55.79182 19.85250 không cao bình thường
## 250 2 1956 123 282 0 30 63 118 0 160.02 53.52386 20.90253 không cao bình thường
## 251 3 1956 120 283 0 28 64 122 1 162.56 55.33822 20.94102 không cao bình thường
## 252 4 1956 121 276 1 23 71 152 1 180.34 68.94598 21.19946 cao bình thường
## 253 5 1956 135 282 0 24 67 128 1 170.18 58.05978 20.04741 cao bình thường
## 254 6 1956 102 283 1 19 65 127 1 165.10 57.60618 21.13367 không cao bình thường
## 255 7 1956 138 286 1 28 68 120 0 172.72 54.43104 18.24574 cao gầy
## 256 8 1956 125 290 0 32 63 135 0 160.02 61.23492 23.91391 không cao bình thường
## 257 1 1957 119 275 0 23 60 105 0 152.40 47.62716 20.50618 không cao bình thường
## 258 2 1957 87 275 0 28 63 110 1 160.02 49.89512 19.48541 không cao bình thường
## 259 3 1957 119 273 0 35 65 125 1 165.10 56.69900 20.80086 không cao bình thường
## 260 4 1957 132 285 1 25 63 140 0 160.02 63.50288 24.79961 không cao <NA>
## 261 5 1957 101 278 1 20 62 105 0 157.48 47.62716 19.20454 không cao bình thường
## 262 6 1957 109 273 0 37 65 138 1 165.10 62.59570 22.96415 không cao bình thường
## 263 7 1957 99 271 0 39 69 151 0 175.26 68.49239 22.29855 cao bình thường
## 264 8 1957 96 285 1 20 66 117 1 167.64 53.07026 18.88408 không cao bình thường
## 265 1 1958 113 281 0 24 65 120 0 165.10 54.43104 19.96882 không cao bình thường
## 266 2 1958 128 291 1 27 63 132 0 160.02 59.87414 23.38249 không cao bình thường
## 267 3 1958 118 278 1 19 62 126 0 157.48 57.15259 23.04545 không cao bình thường
## 268 4 1958 91 264 0 36 60 100 1 152.40 45.35920 19.52969 không cao bình thường
## 269 5 1958 96 266 0 26 65 125 0 165.10 56.69900 20.80086 không cao bình thường
## 270 6 1958 102 267 1 25 60 93 1 152.40 42.18406 18.16262 không cao gầy
## 271 7 1958 118 293 0 21 63 103 0 160.02 46.71998 18.24543 không cao gầy
## 272 8 1958 102 282 1 29 65 125 1 165.10 56.69900 20.80086 không cao bình thường
## 273 1 1959 134 283 0 22 67 130 0 170.18 58.96696 20.36065 cao bình thường
## 274 2 1959 120 288 0 28 63 125 0 160.02 56.69900 22.14251 không cao bình thường
## 275 3 1959 105 330 0 23 64 112 1 162.56 50.80230 19.22454 không cao bình thường
## 276 4 1959 119 294 0 34 59 105 0 149.86 47.62716 21.20719 không cao bình thường
## 277 5 1959 104 276 1 18 60 109 1 152.40 49.44153 21.28737 không cao bình thường
## 278 6 1959 99 275 0 23 61 125 1 154.94 56.69900 23.61828 không cao bình thường
## 279 7 1959 97 266 0 24 62 109 0 157.48 49.44153 19.93614 không cao bình thường
## 280 8 1959 102 288 1 18 65 117 0 165.10 53.07026 19.46960 không cao bình thường
## 281 1 1960 107 279 0 24 63 115 0 160.02 52.16308 20.37111 không cao bình thường
## 282 2 1960 125 301 1 35 68 181 0 172.72 82.10015 27.52065 cao thừa cân
## 283 3 1960 113 306 1 21 65 137 0 165.10 62.14210 22.79774 không cao bình thường
## 284 4 1960 85 273 0 26 60 105 1 152.40 47.62716 20.50618 không cao bình thường
## 285 5 1960 100 249 0 24 67 100 0 170.18 45.35920 15.66204 cao gầy
## 286 6 1960 78 256 1 29 65 123 0 165.10 55.79182 20.46804 không cao bình thường
## 287 7 1960 146 319 0 28 66 145 0 167.64 65.77084 23.40335 không cao bình thường
## 288 8 1960 112 277 1 22 67 120 0 170.18 54.43104 18.79445 cao bình thường
## 289 1 1961 134 288 0 23 63 92 1 160.02 41.73046 16.29689 không cao gầy
## 290 2 1961 118 265 0 27 61 123 0 154.94 55.79182 23.24039 không cao bình thường
## 291 3 1961 148 291 1 21 63 115 0 160.02 52.16308 20.37111 không cao bình thường
## 292 4 1961 106 271 1 26 61 110 1 154.94 49.89512 20.78409 không cao bình thường
## 293 5 1961 154 292 0 40 66 145 0 167.64 65.77084 23.40335 không cao bình thường
## 294 6 1961 128 284 1 19 66 111 1 167.64 50.34871 17.91567 không cao gầy
## 295 7 1961 81 285 0 19 63 150 1 160.02 68.03880 26.57101 không cao thừa cân
## 296 8 1961 135 272 0 30 65 130 0 165.10 58.96696 21.63289 không cao bình thường
## 297 1 1962 122 267 0 27 65 101 1 165.10 45.81279 16.80709 không cao gầy
## 298 2 1962 116 284 1 24 66 117 0 167.64 53.07026 18.88408 không cao bình thường
## 299 3 1962 140 281 1 22 69 135 0 175.26 61.23492 19.93579 cao bình thường
## 300 4 1962 132 284 0 29 64 122 0 162.56 55.33822 20.94102 không cao bình thường
## 301 5 1962 127 293 0 31 67 137 0 170.18 62.14210 21.45700 cao bình thường
## 302 6 1962 107 303 1 25 67 133 0 170.18 60.32774 20.83051 cao bình thường
## 303 7 1962 110 321 0 28 66 180 0 167.64 81.64656 29.05244 không cao thừa cân
## 304 8 1962 91 266 0 23 60 120 1 152.40 54.43104 23.43563 không cao bình thường
## 305 1 1963 129 293 0 30 61 160 0 154.94 72.57472 30.23140 không cao béo phì
## 306 2 1963 131 262 0 22 67 135 0 170.18 61.23492 21.14375 cao bình thường
## 307 3 1963 134 287 1 33 67 131 0 170.18 59.42055 20.51727 cao bình thường
## 308 4 1963 80 266 1 25 62 125 0 157.48 56.69900 22.86255 không cao bình thường
## 309 5 1963 126 288 0 31 62 150 0 157.48 68.03880 27.43505 không cao thừa cân
## 310 6 1963 136 295 0 23 64 147 0 162.56 66.67802 25.23221 không cao thừa cân
## 311 7 1963 135 284 1 19 60 95 0 152.40 43.09124 18.55321 không cao bình thường
## 312 8 1963 129 276 0 31 63 125 0 160.02 56.69900 22.14251 không cao bình thường
## 313 1 1964 110 278 0 23 63 177 0 160.02 80.28578 31.35380 không cao béo phì
## 314 2 1964 151 286 1 22 66 130 0 167.64 58.96696 20.98232 không cao bình thường
## 315 3 1964 120 280 0 31 61 111 0 154.94 50.34871 20.97303 không cao bình thường
## 316 4 1964 109 286 0 24 64 125 1 162.56 56.69900 21.45596 không cao bình thường
## 317 5 1964 126 282 1 23 66 115 1 167.64 52.16308 18.56128 không cao bình thường
## 318 6 1964 101 278 0 27 61 99 1 154.94 44.90561 18.70568 không cao bình thường
## 319 7 1964 114 290 1 21 65 120 1 165.10 54.43104 19.96882 không cao bình thường
## 320 8 1964 155 290 0 26 66 129 1 167.64 58.51337 20.82091 không cao bình thường
## 321 1 1965 111 270 0 27 61 119 0 154.94 53.97745 22.48460 không cao bình thường
## 322 2 1965 88 273 0 20 66 110 1 167.64 49.89512 17.75427 không cao gầy
## 323 3 1965 123 296 1 26 64 110 1 162.56 49.89512 18.88125 không cao bình thường
## 324 4 1965 111 306 0 27 61 102 0 154.94 46.26638 19.27252 không cao bình thường
## 325 5 1965 127 279 0 26 67 155 1 170.18 70.30676 24.27616 cao bình thường
## 326 6 1965 100 275 1 25 64 125 0 162.56 56.69900 21.45596 không cao bình thường
## 327 7 1965 124 288 1 21 64 116 1 162.56 52.61667 19.91113 không cao bình thường
## 328 8 1965 109 274 0 33 69 144 1 175.26 65.31725 21.26485 cao bình thường
## 329 1 1966 87 248 0 37 65 130 1 165.10 58.96696 21.63289 không cao bình thường
## 330 2 1966 137 284 0 30 67 110 0 170.18 49.89512 17.22824 cao gầy
## 331 3 1966 102 275 0 43 64 160 0 162.56 72.57472 27.46363 không cao thừa cân
## 332 4 1966 143 292 1 21 65 125 0 165.10 56.69900 20.80086 không cao bình thường
## 333 5 1966 98 275 0 25 65 112 1 165.10 50.80230 18.63757 không cao bình thường
## 334 6 1966 109 272 0 41 66 154 1 167.64 69.85317 24.85597 không cao <NA>
## 335 7 1966 115 262 1 23 64 136 1 162.56 61.68851 23.34409 không cao bình thường
## 336 8 1966 80 262 1 31 61 100 1 154.94 45.35920 18.89463 không cao bình thường
## 337 1 1967 143 274 0 27 63 110 1 160.02 49.89512 19.48541 không cao bình thường
## 338 2 1967 127 289 0 23 67 140 0 170.18 63.50288 21.92686 cao bình thường
## 339 3 1967 55 204 0 35 65 140 0 165.10 63.50288 23.29696 không cao bình thường
## 340 4 1967 136 290 0 26 66 135 0 167.64 61.23492 21.78933 không cao bình thường
## 341 5 1967 127 288 1 21 66 130 0 167.64 58.96696 20.98232 không cao bình thường
## 342 6 1967 117 281 1 21 70 141 1 177.80 63.95647 20.23117 cao bình thường
## 343 7 1967 143 281 0 28 65 135 1 165.10 61.23492 22.46493 không cao bình thường
## 344 8 1967 125 273 0 30 64 145 0 162.56 65.77084 24.88892 không cao <NA>
## 345 1 1968 155 294 0 32 66 150 0 167.64 68.03880 24.21037 không cao bình thường
## 346 2 1968 96 278 1 18 60 120 1 152.40 54.43104 23.43563 không cao bình thường
## 347 3 1968 103 276 1 19 63 149 1 160.02 67.58521 26.39387 không cao thừa cân
## 348 4 1968 110 285 1 19 64 130 0 162.56 58.96696 22.31420 không cao bình thường
## 349 5 1968 129 299 0 22 68 145 0 172.72 65.77084 22.04693 cao bình thường
## 350 6 1968 88 252 1 21 60 115 1 152.40 52.16308 22.45915 không cao bình thường
## 351 7 1968 113 287 1 29 70 145 1 177.80 65.77084 20.80510 cao bình thường
## 352 8 1968 94 284 0 24 63 104 1 160.02 47.17357 18.42257 không cao gầy
## 353 1 1969 110 272 0 25 60 90 0 152.40 40.82328 17.57673 không cao gầy
## 354 2 1969 129 281 0 31 67 155 0 170.18 70.30676 24.27616 cao bình thường
## 355 3 1969 123 283 0 21 65 110 0 165.10 49.89512 18.30476 không cao gầy
## 356 4 1969 98 257 0 29 66 130 1 167.64 58.96696 20.98232 không cao bình thường
## 357 5 1969 131 292 1 22 64 124 1 162.56 56.24541 21.28432 không cao bình thường
## 358 6 1969 95 270 0 35 65 135 1 165.10 61.23492 22.46493 không cao bình thường
## 359 7 1969 109 244 1 21 63 102 1 160.02 46.26638 18.06829 không cao gầy
## 360 8 1969 148 281 0 27 63 110 1 160.02 49.89512 19.48541 không cao bình thường
## 361 1 1970 122 275 0 26 66 147 0 167.64 66.67802 23.72616 không cao bình thường
## 362 2 1970 128 288 1 26 65 114 0 165.10 51.70949 18.97038 không cao bình thường
## 363 3 1970 105 270 1 27 65 134 1 165.10 60.78133 22.29852 không cao bình thường
## 364 4 1970 108 305 1 24 65 112 0 165.10 50.80230 18.63757 không cao bình thường
## 365 5 1970 132 289 1 19 66 145 0 167.64 65.77084 23.40335 không cao bình thường
## 366 6 1970 127 291 1 24 66 135 1 167.64 61.23492 21.78933 không cao bình thường
## 367 7 1970 103 278 0 30 60 87 1 152.40 39.46250 16.99083 không cao gầy
## 368 8 1970 73 277 0 29 65 145 0 165.10 65.77084 24.12900 không cao bình thường
## 369 1 1971 145 291 0 26 63 119 1 160.02 53.97745 21.07967 không cao bình thường
## 370 2 1971 85 255 0 24 68 159 0 172.72 72.12113 24.17560 cao bình thường
## 371 3 1971 138 289 0 33 65 155 0 165.10 70.30676 25.79306 không cao thừa cân
## 372 4 1971 101 295 0 18 62 145 1 157.48 65.77084 26.52055 không cao thừa cân
## 373 5 1971 127 280 0 27 62 118 0 157.48 53.52386 21.58224 không cao bình thường
## 374 6 1971 107 293 0 20 65 155 1 165.10 70.30676 25.79306 không cao thừa cân
## 375 7 1971 118 276 0 34 64 116 0 162.56 52.61667 19.91113 không cao bình thường
## 376 8 1971 123 267 1 19 66 132 1 167.64 59.87414 21.30512 không cao bình thường
## 377 1 1972 115 258 0 26 62 130 0 157.48 58.96696 23.77705 không cao bình thường
## 378 2 1972 111 281 1 27 64 112 0 162.56 50.80230 19.22454 không cao bình thường
## 379 3 1972 128 281 0 28 63 150 0 160.02 68.03880 26.57101 không cao thừa cân
## 380 4 1972 71 281 0 32 60 117 1 152.40 53.07026 22.84974 không cao bình thường
## 381 5 1972 99 313 1 34 59 100 1 149.86 45.35920 20.19733 không cao bình thường
## 382 6 1972 126 262 0 37 66 135 1 167.64 61.23492 21.78933 không cao bình thường
## 383 7 1972 127 290 0 27 65 121 0 165.10 54.88463 20.13523 không cao bình thường
## 384 8 1972 65 232 0 24 66 125 1 167.64 56.69900 20.17530 không cao bình thường
## 385 1 1973 108 283 0 31 65 148 1 165.10 67.13162 24.62822 không cao <NA>
## 386 2 1973 124 275 0 28 61 116 0 154.94 52.61667 21.91777 không cao bình thường
## 387 3 1973 139 285 0 30 65 129 1 165.10 58.51337 21.46649 không cao bình thường
## 388 4 1973 124 292 0 29 68 176 1 172.72 79.83219 26.76041 cao thừa cân
## 389 5 1973 115 290 0 30 64 140 1 162.56 63.50288 24.03068 không cao bình thường
## 390 6 1973 98 278 0 27 63 110 1 160.02 49.89512 19.48541 không cao bình thường
## 391 7 1973 132 270 0 27 65 126 0 165.10 57.15259 20.96727 không cao bình thường
## 392 8 1973 118 279 1 21 64 108 0 162.56 48.98794 18.53795 không cao bình thường
## 393 1 1974 102 282 0 28 61 110 0 154.94 49.89512 20.78409 không cao bình thường
## 394 2 1974 112 292 1 28 62 110 1 157.48 49.89512 20.11904 không cao bình thường
## 395 3 1974 104 288 1 27 61 122 1 154.94 55.33822 23.05144 không cao bình thường
## 396 4 1974 106 276 0 30 66 130 0 167.64 58.96696 20.98232 không cao bình thường
## 397 5 1974 145 290 1 24 67 125 0 170.18 56.69900 19.57755 cao bình thường
## 398 6 1974 96 241 0 23 64 130 1 162.56 58.96696 22.31420 không cao bình thường
## 399 7 1974 113 275 1 27 60 100 0 152.40 45.35920 19.52969 không cao bình thường
## 400 8 1974 102 283 0 39 60 119 0 152.40 53.97745 23.24034 không cao bình thường
## 401 1 1975 143 286 0 31 64 126 0 162.56 57.15259 21.62761 không cao bình thường
## 402 2 1975 115 281 0 28 61 128 1 154.94 58.05978 24.18512 không cao bình thường
## 403 3 1975 159 296 1 27 64 112 0 162.56 50.80230 19.22454 không cao bình thường
## 404 4 1975 101 278 0 25 62 112 1 157.48 50.80230 20.48484 không cao bình thường
## 405 5 1975 102 249 1 23 67 134 1 170.18 60.78133 20.98713 cao bình thường
## 406 6 1975 104 282 0 24 63 144 0 160.02 65.31725 25.50817 không cao thừa cân
## 407 7 1975 128 265 0 24 67 120 0 170.18 54.43104 18.79445 cao bình thường
## 408 8 1975 120 280 0 24 61 118 0 154.94 53.52386 22.29566 không cao bình thường
## 409 1 1976 146 267 0 30 67 132 0 170.18 59.87414 20.67389 cao bình thường
## 410 2 1976 72 271 0 39 61 136 0 154.94 61.68851 25.69669 không cao thừa cân
## 411 3 1976 118 276 0 29 62 130 1 157.48 58.96696 23.77705 không cao bình thường
## 412 4 1976 100 277 0 31 62 100 1 157.48 45.35920 18.29004 không cao gầy
## 413 5 1976 136 299 0 29 64 115 0 162.56 52.16308 19.73949 không cao bình thường
## 414 6 1976 133 273 1 33 63 135 0 160.02 61.23492 23.91391 không cao bình thường
## 415 7 1976 130 291 0 30 65 150 1 165.10 68.03880 24.96103 không cao <NA>
## 416 8 1976 108 270 1 21 65 130 1 165.10 58.96696 21.63289 không cao bình thường
## 417 1 1977 124 275 0 22 60 130 0 152.40 58.96696 25.38860 không cao thừa cân
## 418 2 1977 122 281 1 24 65 137 1 165.10 62.14210 22.79774 không cao bình thường
## 419 3 1977 99 285 0 25 69 128 1 175.26 58.05978 18.90209 cao bình thường
## 420 4 1977 104 269 0 35 63 110 1 160.02 49.89512 19.48541 không cao bình thường
## 421 5 1977 121 282 0 22 66 133 0 167.64 60.32774 21.46652 không cao bình thường
## 422 6 1977 93 267 0 25 63 135 1 160.02 61.23492 23.91391 không cao bình thường
## 423 7 1977 125 281 1 21 65 110 0 165.10 49.89512 18.30476 không cao gầy
## 424 8 1977 122 280 1 45 62 128 0 157.48 58.05978 23.41125 không cao bình thường
## 425 1 1978 124 278 0 26 70 145 1 177.80 65.77084 20.80510 cao bình thường
## 426 2 1978 116 291 0 26 66 153 0 167.64 69.39958 24.69457 không cao <NA>
## 427 3 1978 144 281 0 20 63 120 0 160.02 54.43104 21.25681 không cao bình thường
## 428 4 1978 117 270 0 24 67 135 1 170.18 61.23492 21.14375 cao bình thường
## 429 5 1978 120 286 0 25 62 105 0 157.48 47.62716 19.20454 không cao bình thường
## 430 6 1978 101 280 1 24 65 123 1 165.10 55.79182 20.46804 không cao bình thường
## 431 7 1978 117 297 0 38 65 129 0 165.10 58.51337 21.46649 không cao bình thường
## 432 8 1978 103 268 0 32 62 97 1 157.48 43.99842 17.74134 không cao gầy
## 433 1 1979 145 257 0 33 65 140 0 165.10 63.50288 23.29696 không cao bình thường
## 434 2 1979 127 272 0 20 64 130 1 162.56 58.96696 22.31420 không cao bình thường
## 435 3 1979 121 270 0 25 62 108 1 157.48 48.98794 19.75324 không cao bình thường
## 436 4 1979 117 267 0 29 65 120 1 165.10 54.43104 19.96882 không cao bình thường
## 437 5 1979 118 261 0 26 60 104 0 152.40 47.17357 20.31088 không cao bình thường
## 438 6 1979 118 277 0 21 64 155 0 162.56 70.30676 26.60539 không cao thừa cân
## 439 7 1979 141 277 0 38 66 162 0 167.64 73.48190 26.14719 không cao thừa cân
## 440 8 1979 105 312 0 41 61 115 1 154.94 52.16308 21.72882 không cao bình thường
## 441 1 1980 106 273 0 28 60 116 0 152.40 52.61667 22.65445 không cao bình thường
## 442 2 1980 90 266 0 23 61 99 1 154.94 44.90561 18.70568 không cao bình thường
## 443 3 1980 117 265 1 24 66 98 0 167.64 44.45202 15.81744 không cao gầy
## 444 4 1980 149 279 0 25 67 135 0 170.18 61.23492 21.14375 cao bình thường
## 445 5 1980 127 304 1 26 62 105 0 157.48 47.62716 19.20454 không cao bình thường
## 446 6 1980 130 289 0 21 61 130 1 154.94 58.96696 24.56301 không cao <NA>
## 447 7 1980 130 270 1 19 66 130 0 167.64 58.96696 20.98232 không cao bình thường
## 448 8 1980 126 273 1 25 68 135 0 172.72 61.23492 20.52645 cao bình thường
## 449 1 1981 75 232 0 33 61 110 0 154.94 49.89512 20.78409 không cao bình thường
## 450 2 1981 99 273 1 27 59 115 0 149.86 52.16308 23.22693 không cao bình thường
## 451 3 1981 119 293 1 23 65 127 0 165.10 57.60618 21.13367 không cao bình thường
## 452 4 1981 135 284 0 25 66 123 0 167.64 55.79182 19.85250 không cao bình thường
## 453 5 1981 132 281 1 24 63 117 0 160.02 53.07026 20.72539 không cao bình thường
## 454 6 1981 125 288 0 22 63 128 1 160.02 58.05978 22.67393 không cao bình thường
## 455 7 1981 139 299 1 20 67 112 0 170.18 50.80230 17.54149 cao gầy
## 456 8 1981 145 316 0 22 67 142 0 170.18 64.41006 22.24010 cao bình thường
## 457 1 1982 107 273 0 24 61 96 0 154.94 43.54483 18.13884 không cao gầy
## 458 2 1982 144 307 1 26 66 125 0 167.64 56.69900 20.17530 không cao bình thường
## 459 3 1982 105 281 1 19 61 130 0 154.94 58.96696 24.56301 không cao <NA>
## 460 4 1982 110 283 1 21 66 129 0 167.64 58.51337 20.82091 không cao bình thường
## 461 5 1982 102 258 1 22 65 135 0 165.10 61.23492 22.46493 không cao bình thường
## 462 6 1982 140 291 1 19 65 122 0 165.10 55.33822 20.30164 không cao bình thường
## 463 7 1982 130 283 0 32 65 118 0 165.10 53.52386 19.63601 không cao bình thường
## 464 8 1982 139 293 0 34 66 131 0 167.64 59.42055 21.14372 không cao bình thường
## 465 1 1983 124 288 0 22 67 118 0 170.18 53.52386 18.48121 cao gầy
## 466 2 1983 138 280 1 30 65 175 0 165.10 79.37860 29.12120 không cao thừa cân
## 467 3 1983 125 283 0 37 63 145 1 160.02 65.77084 25.68531 không cao thừa cân
## 468 4 1983 121 276 0 31 67 130 0 170.18 58.96696 20.36065 cao bình thường
## 469 5 1983 143 279 0 39 65 129 1 165.10 58.51337 21.46649 không cao bình thường
## 470 6 1983 115 290 1 19 65 118 0 165.10 53.52386 19.63601 không cao bình thường
## 471 7 1983 113 289 1 26 59 91 0 149.86 41.27687 18.37957 không cao gầy
## 472 8 1983 124 290 0 26 65 165 0 165.10 74.84268 27.45713 không cao thừa cân
## 473 1 1984 122 280 0 23 65 125 1 165.10 56.69900 20.80086 không cao bình thường
## 474 2 1984 58 245 0 34 64 156 1 162.56 70.76035 26.77704 không cao thừa cân
## 475 3 1984 119 259 0 37 62 130 0 157.48 58.96696 23.77705 không cao bình thường
## 476 4 1984 142 285 1 24 66 136 0 167.64 61.68851 21.95073 không cao bình thường
## 477 5 1984 118 277 0 25 62 120 0 157.48 54.43104 21.94804 không cao bình thường
## 478 6 1984 130 293 0 26 63 123 0 160.02 55.79182 21.78823 không cao bình thường
## 479 7 1984 77 238 1 23 63 103 1 160.02 46.71998 18.24543 không cao gầy
## 480 8 1984 121 282 0 30 65 122 0 165.10 55.33822 20.30164 không cao bình thường
## 481 1 1985 101 245 0 23 63 130 1 160.02 58.96696 23.02821 không cao bình thường
## 482 2 1985 109 265 1 24 63 107 1 160.02 48.53434 18.95399 không cao bình thường
## 483 3 1985 101 273 0 39 60 113 0 152.40 51.25590 22.06855 không cao bình thường
## 484 4 1985 104 260 0 33 64 145 0 162.56 65.77084 24.88892 không cao <NA>
## 485 5 1985 102 286 1 22 64 140 0 162.56 63.50288 24.03068 không cao bình thường
## 486 6 1985 114 277 1 31 64 125 0 162.56 56.69900 21.45596 không cao bình thường
## 487 7 1985 62 228 0 24 61 107 0 154.94 48.53434 20.21725 không cao bình thường
## 488 8 1985 126 299 1 21 60 114 0 152.40 51.70949 22.26385 không cao bình thường
## 489 1 1986 128 283 0 28 63 125 1 160.02 56.69900 22.14251 không cao bình thường
## 490 2 1986 110 277 1 19 62 160 0 157.48 72.57472 29.26406 không cao thừa cân
## 491 3 1986 105 277 1 25 64 156 0 162.56 70.76035 26.77704 không cao thừa cân
## 492 4 1986 138 296 0 34 66 120 0 167.64 54.43104 19.36829 không cao bình thường
## 493 5 1986 163 280 0 35 69 139 0 175.26 63.04929 20.52648 cao bình thường
## 494 6 1986 105 278 0 21 64 120 0 162.56 54.43104 20.59772 không cao bình thường
## 495 7 1986 93 245 0 33 61 100 1 154.94 45.35920 18.89463 không cao bình thường
## 496 8 1986 119 286 1 33 67 137 0 170.18 62.14210 21.45700 cao bình thường
## 497 1 1987 104 282 0 36 65 115 1 165.10 52.16308 19.13679 không cao bình thường
## 498 2 1987 129 278 0 27 63 128 0 160.02 58.05978 22.67393 không cao bình thường
## 499 3 1987 110 281 0 27 60 110 0 152.40 49.89512 21.48266 không cao bình thường
## 500 4 1987 112 278 1 21 63 120 0 160.02 54.43104 21.25681 không cao bình thường
## 501 5 1987 132 294 0 32 64 116 0 162.56 52.61667 19.91113 không cao bình thường
## 502 6 1987 101 289 1 31 60 125 0 152.40 56.69900 24.41212 không cao bình thường
## 503 7 1987 109 275 1 37 63 112 1 160.02 50.80230 19.83969 không cao bình thường
## 504 8 1987 114 277 1 19 63 107 0 160.02 48.53434 18.95399 không cao bình thường
## 505 1 1988 97 246 0 37 63 150 0 160.02 68.03880 26.57101 không cao thừa cân
## 506 2 1988 150 284 0 40 67 130 0 170.18 58.96696 20.36065 cao bình thường
## 507 3 1988 100 270 1 21 65 132 1 165.10 59.87414 21.96571 không cao bình thường
## 508 4 1988 117 293 0 39 60 120 1 152.40 54.43104 23.43563 không cao bình thường
## 509 5 1988 116 276 0 33 61 180 0 154.94 81.64656 34.01033 không cao béo phì
## 510 6 1988 132 286 0 26 67 122 1 170.18 55.33822 19.10769 cao bình thường
## 511 7 1988 145 283 0 27 65 125 1 165.10 56.69900 20.80086 không cao bình thường
## 512 8 1988 118 272 0 23 64 113 0 162.56 51.25590 19.39619 không cao bình thường
## 513 1 1989 137 274 0 26 69 137 1 175.26 62.14210 20.23114 cao bình thường
## 514 2 1989 128 279 0 27 66 135 0 167.64 61.23492 21.78933 không cao bình thường
## 515 3 1989 98 284 0 29 68 140 0 172.72 63.50288 21.28669 cao bình thường
## 516 4 1989 109 282 0 25 62 106 1 157.48 48.08075 19.38744 không cao bình thường
## 517 5 1989 138 288 1 19 66 124 0 167.64 56.24541 20.01390 không cao bình thường
## 518 6 1989 112 252 0 37 64 162 0 162.56 73.48190 27.80693 không cao thừa cân
## 519 7 1989 92 224 0 19 63 134 1 160.02 60.78133 23.73677 không cao bình thường
## 520 8 1989 127 295 0 36 65 145 0 165.10 65.77084 24.12900 không cao bình thường
## 521 1 1990 103 273 0 31 63 170 1 160.02 77.11064 30.11381 không cao béo phì
## 522 2 1990 142 284 1 31 66 137 1 167.64 62.14210 22.11213 không cao bình thường
## 523 3 1990 127 276 0 37 64 159 0 162.56 72.12113 27.29199 không cao thừa cân
## 524 4 1990 131 266 1 28 67 135 0 170.18 61.23492 21.14375 cao bình thường
## 525 5 1990 139 279 0 20 64 143 0 162.56 64.86366 24.54562 không cao <NA>
## 526 6 1990 69 232 0 31 59 103 1 149.86 46.71998 20.80325 không cao bình thường
## 527 7 1990 120 281 0 26 61 115 0 154.94 52.16308 21.72882 không cao bình thường
## 528 8 1990 117 290 1 22 67 110 0 170.18 49.89512 17.22824 cao gầy
## 529 1 1991 142 276 0 38 63 170 0 160.02 77.11064 30.11381 không cao béo phì
## 530 2 1991 115 268 1 31 64 125 0 162.56 56.69900 21.45596 không cao bình thường
## 531 3 1991 117 324 0 22 62 164 1 157.48 74.38909 29.99566 không cao <NA>
## 532 4 1991 120 273 0 29 64 130 1 162.56 58.96696 22.31420 không cao bình thường
## 533 5 1991 132 298 1 23 61 137 0 154.94 62.14210 25.88564 không cao thừa cân
## 534 6 1991 114 264 0 26 63 110 1 160.02 49.89512 19.48541 không cao bình thường
## 535 7 1991 135 284 0 39 67 141 0 170.18 63.95647 22.08348 cao bình thường
## 536 8 1991 137 277 0 41 65 126 0 165.10 57.15259 20.96727 không cao bình thường
## 537 1 1992 130 289 0 27 66 130 0 167.64 58.96696 20.98232 không cao bình thường
## 538 2 1992 108 283 0 35 62 108 0 157.48 48.98794 19.75324 không cao bình thường
## 539 3 1992 122 278 0 37 68 114 0 172.72 51.70949 17.33345 cao gầy
## 540 4 1992 116 270 0 29 63 132 0 160.02 59.87414 23.38249 không cao bình thường
## 541 5 1992 87 282 0 27 63 104 1 160.02 47.17357 18.42257 không cao gầy
## 542 6 1992 123 267 0 29 63 111 1 160.02 50.34871 19.66255 không cao bình thường
## 543 7 1992 113 287 0 36 63 118 0 160.02 53.52386 20.90253 không cao bình thường
## 544 8 1992 133 292 0 29 65 135 0 165.10 61.23492 22.46493 không cao bình thường
## 545 1 1993 156 292 0 26 63 118 0 160.02 53.52386 20.90253 không cao bình thường
## 546 2 1993 139 281 0 27 63 137 0 160.02 62.14210 24.26819 không cao bình thường
## 547 3 1993 122 273 1 23 64 130 1 162.56 58.96696 22.31420 không cao bình thường
## 548 4 1993 140 290 0 23 65 110 0 165.10 49.89512 18.30476 không cao gầy
## 549 5 1993 131 297 0 30 67 132 0 170.18 59.87414 20.67389 cao bình thường
## 550 6 1993 129 284 1 20 66 130 1 167.64 58.96696 20.98232 không cao bình thường
## 551 7 1993 126 251 1 28 64 123 0 162.56 55.79182 21.11267 không cao bình thường
## 552 8 1993 100 264 0 28 60 111 1 152.40 50.34871 21.67796 không cao bình thường
## 553 1 1994 133 284 0 25 66 125 1 167.64 56.69900 20.17530 không cao bình thường
## 554 2 1994 115 275 0 25 61 155 1 154.94 70.30676 29.28667 không cao thừa cân
## 555 3 1994 118 281 1 36 66 140 1 167.64 63.50288 22.59634 không cao bình thường
## 556 4 1994 103 273 1 22 64 110 1 162.56 49.89512 18.88125 không cao bình thường
## 557 5 1994 130 282 0 26 67 147 1 170.18 66.67802 23.02320 cao bình thường
## 558 6 1994 114 283 1 15 64 117 1 162.56 53.07026 20.08278 không cao bình thường
## 559 7 1994 143 270 1 27 70 148 0 177.80 67.13162 21.23555 cao bình thường
## 560 8 1994 107 273 1 26 65 135 0 165.10 61.23492 22.46493 không cao bình thường
## 561 1 1995 120 274 0 24 62 120 0 157.48 54.43104 21.94804 không cao bình thường
## 562 2 1995 136 288 0 23 62 217 0 157.48 98.42946 39.68938 không cao béo phì
## 563 3 1995 137 303 1 23 66 127 1 167.64 57.60618 20.49811 không cao bình thường
## 564 4 1995 120 279 1 23 67 135 0 170.18 61.23492 21.14375 cao bình thường
## 565 5 1995 123 290 0 28 66 107 1 167.64 48.53434 17.27006 không cao gầy
## 566 6 1995 115 290 0 31 62 95 0 157.48 43.09124 17.37553 không cao gầy
## 567 7 1995 128 282 1 25 64 125 0 162.56 56.69900 21.45596 không cao bình thường
## 568 8 1995 115 276 1 20 62 105 1 157.48 47.62716 19.20454 không cao bình thường
## 569 1 1996 91 270 0 24 60 149 1 152.40 67.58521 29.09924 không cao thừa cân
## 570 2 1996 163 289 1 25 64 126 1 162.56 57.15259 21.62761 không cao bình thường
## 571 3 1996 120 275 0 32 63 115 1 160.02 52.16308 20.37111 không cao bình thường
## 572 4 1996 139 260 1 32 64 127 0 162.56 57.60618 21.79926 không cao bình thường
## 573 5 1996 115 276 1 18 63 110 0 160.02 49.89512 19.48541 không cao bình thường
## 574 6 1996 98 272 1 35 64 129 0 162.56 58.51337 22.14255 không cao bình thường
## 575 7 1996 98 262 0 22 67 120 0 170.18 54.43104 18.79445 cao bình thường
## 576 8 1996 91 292 1 26 61 113 1 154.94 51.25590 21.35093 không cao bình thường
## 577 1 1997 127 274 0 21 62 110 0 157.48 49.89512 20.11904 không cao bình thường
## 578 2 1997 131 285 0 26 64 130 0 162.56 58.96696 22.31420 không cao bình thường
## 579 3 1997 143 285 0 27 68 185 0 172.72 83.91452 28.12884 cao thừa cân
## 580 4 1997 123 254 0 26 62 130 1 157.48 58.96696 23.77705 không cao bình thường
## 581 5 1997 116 272 0 27 64 130 1 162.56 58.96696 22.31420 không cao bình thường
## 582 6 1997 128 283 0 27 67 126 0 170.18 57.15259 19.73417 cao bình thường
## 583 7 1997 110 306 1 32 61 122 0 154.94 55.33822 23.05144 không cao bình thường
## 584 8 1997 112 287 0 27 64 110 1 162.56 49.89512 18.88125 không cao bình thường
## 585 1 1998 153 286 0 26 63 107 1 160.02 48.53434 18.95399 không cao bình thường
## 586 2 1998 77 238 0 38 67 135 1 170.18 61.23492 21.14375 cao bình thường
## 587 3 1998 108 270 0 29 67 124 1 170.18 56.24541 19.42093 cao bình thường
## 588 4 1998 104 280 1 23 64 107 1 162.56 48.53434 18.36630 không cao gầy
## 589 5 1998 119 286 1 20 67 130 0 170.18 58.96696 20.36065 cao bình thường
## 590 6 1998 119 271 0 28 64 175 1 162.56 79.37860 30.03835 không cao béo phì
## 591 7 1998 162 284 0 27 64 126 0 162.56 57.15259 21.62761 không cao bình thường
## 592 8 1998 125 289 1 31 61 120 0 154.94 54.43104 22.67355 không cao bình thường
## 593 1 1999 121 276 0 39 63 130 0 160.02 58.96696 23.02821 không cao bình thường
## 594 2 1999 124 283 1 33 67 156 1 170.18 70.76035 24.43278 cao bình thường
## 595 3 1999 131 284 1 19 61 114 1 154.94 51.70949 21.53987 không cao bình thường
## 596 4 1999 111 270 0 22 59 103 0 149.86 46.71998 20.80325 không cao bình thường
## 597 5 1999 125 279 1 19 67 135 0 170.18 61.23492 21.14375 cao bình thường
## 598 6 1999 154 288 0 25 65 147 0 165.10 66.67802 24.46181 không cao bình thường
## 599 7 1999 116 292 1 20 65 118 0 165.10 53.52386 19.63601 không cao bình thường
## 600 8 1999 157 291 0 33 65 121 0 165.10 54.88463 20.13523 không cao bình thường
## 601 1 2000 120 277 0 27 63 126 0 160.02 57.15259 22.31965 không cao bình thường
## 602 2 2000 104 270 1 26 62 115 0 157.48 52.16308 21.03354 không cao bình thường
## 603 3 2000 110 277 0 36 61 116 0 154.94 52.61667 21.91777 không cao bình thường
## 604 4 2000 122 277 0 32 63 157 1 160.02 71.21394 27.81099 không cao thừa cân
## 605 5 2000 144 282 0 33 66 155 1 167.64 70.30676 25.01738 không cao thừa cân
## 606 6 2000 127 247 1 21 63 140 0 160.02 63.50288 24.79961 không cao <NA>
## 607 7 2000 128 284 0 23 62 110 0 157.48 49.89512 20.11904 không cao bình thường
## 608 8 2000 108 256 1 26 67 130 0 170.18 58.96696 20.36065 cao bình thường
## 609 1 2001 99 272 0 27 62 103 1 157.48 46.71998 18.83874 không cao bình thường
## 610 2 2001 102 267 1 24 61 109 1 154.94 49.44153 20.59514 không cao bình thường
## 611 3 2001 105 276 0 20 62 112 1 157.48 50.80230 20.48484 không cao bình thường
## 612 4 2001 116 271 1 30 67 144 1 170.18 65.31725 22.55334 cao bình thường
## 613 5 2001 123 269 0 26 67 132 0 170.18 59.87414 20.67389 cao bình thường
## 614 6 2001 131 263 0 29 64 180 1 162.56 81.64656 30.89659 không cao béo phì
## 615 7 2001 111 275 1 18 61 108 1 154.94 48.98794 20.40620 không cao bình thường
## 616 8 2001 130 279 0 31 62 122 0 157.48 55.33822 22.31384 không cao bình thường
## 617 1 2002 149 293 0 35 65 116 0 165.10 52.61667 19.30320 không cao bình thường
## 618 2 2002 94 268 0 30 62 105 1 157.48 47.62716 19.20454 không cao bình thường
## 619 3 2002 125 255 0 23 63 133 0 160.02 60.32774 23.55963 không cao bình thường
## 620 4 2002 129 277 0 27 68 130 1 172.72 58.96696 19.76621 cao bình thường
## 621 5 2002 120 276 0 23 66 114 0 167.64 51.70949 18.39988 không cao gầy
## 622 6 2002 129 288 0 28 59 102 0 149.86 46.26638 20.60128 không cao bình thường
## 623 7 2002 137 280 0 34 60 107 0 152.40 48.53434 20.89677 không cao bình thường
## 624 8 2002 135 289 0 25 64 127 0 162.56 57.60618 21.79926 không cao bình thường
## 625 1 2003 129 280 0 23 64 104 0 162.56 47.17357 17.85136 không cao gầy
## 626 2 2003 158 295 1 37 70 137 0 177.80 62.14210 19.65724 cao bình thường
## 627 3 2003 78 258 1 24 66 115 1 167.64 52.16308 18.56128 không cao bình thường
## 628 4 2003 133 292 0 30 65 112 1 165.10 50.80230 18.63757 không cao bình thường
## 629 5 2003 140 251 0 28 63 210 0 160.02 95.25432 37.19942 không cao béo phì
## 630 6 2003 114 286 1 22 64 116 1 162.56 52.61667 19.91113 không cao bình thường
## 631 7 2003 100 264 0 29 64 120 1 162.56 54.43104 20.59772 không cao bình thường
## 632 8 2003 123 277 0 24 66 122 0 167.64 55.33822 19.69110 không cao bình thường
## 633 1 2004 139 292 0 25 68 135 0 172.72 61.23492 20.52645 cao bình thường
## 634 2 2004 112 275 1 21 68 143 1 172.72 64.86366 21.74283 cao bình thường
## 635 3 2004 114 289 0 36 60 115 0 152.40 52.16308 22.45915 không cao bình thường
## 636 4 2004 110 277 0 25 61 130 0 154.94 58.96696 24.56301 không cao <NA>
## 637 5 2004 120 271 1 17 64 142 1 162.56 64.41006 24.37397 không cao bình thường
## 638 6 2004 110 280 0 29 62 110 1 157.48 49.89512 20.11904 không cao bình thường
## 639 7 2004 160 271 0 32 67 215 0 170.18 97.52228 33.67339 cao béo phì
## 640 8 2004 100 281 0 24 61 115 0 154.94 52.16308 21.72882 không cao bình thường
Ta thử tiến hành xem tần số của những đối tượng theo tiêu chuẩn bmi và vẽ biểu đồ nhánh và lá của biến kg:
table(tcdat$tieuchuan)
##
## béo phì bình thường gầy thừa cân
## 16 485 50 67
stem(tcdat$kg)
##
## The decimal point is 1 digit(s) to the right of the |
##
## 3 | 9
## 4 | 0111222233444
## 4 | 55555555555566666666677777777777777788888888888889999999999999999999
## 5 | 00000000000000000000000000000000000000000111111111111111111111111122+79
## 5 | 55555555555555555555556666666666666667777777777777777777777777777777+85
## 6 | 00000000000000000011111111111111111111111111111111111111122222222222+27
## 6 | 55555556666666666666666666666666777777777888888888888888888899
## 7 | 000000000111111122223333333334
## 7 | 55577777779999
## 8 | 001122223444
## 8 | 67
## 9 |
## 9 | 5588
# {r message=true, warning=false }
library(csv)
bo <- read.csv("C:/Users/ADMIN/Downloads/social-media-influencers-YOUTUBE-DEC-2022 (2).csv", header = T )
bo
## s.no Youtube.channel
## 1 1 tseries
## 2 2 setindia
## 3 3 checkgate
## 4 4 MrBeast
## 5 5 PewDiePie
## 6 6 ✿ Kids Diana Show
## 7 7 Like Nastya
## 8 8 WWEFanNation
## 9 9 Vlad and Niki
## 10 10 zeemusiccompany
## 11 11 BLACKPINK
## 12 12 GoldminesTelefilms
## 13 13 5-Minute Crafts
## 14 14 sabtv
## 15 15 BANGTANTV
## 16 16 ibighit
## 17 17 KondZilla
## 18 18 zeetv
## 19 19 filmigaane
## 20 20 SmartBooksMedia
## 21 21 ChuChu TV Nursery Rhymes & Kids Songs
## 22 22 dudeperfect
## 23 23 movieclips
## 24 24 colorstv
## 25 25 Marshmello
## 26 26 tseriesbhakti
## 27 27 tipsofficial
## 28 28 BHOJPURIWAVE
## 29 29 aajtak
## 30 30 sonymusicindiaSME
## 31 31 ReinoMariaElenaWalsh
## 32 32 EdSheeran
## 33 33 LooLooKids
## 34 34 taylorswift
## 35 35 yrf
## 36 36 BillionSurpriseToys - English Kids Songs & Cartoon
## 37 37 infobellshindirhymes
## 38 38 JuegaGerman
## 39 39 Badabun
## 40 40 felipeneto
## 41 41 BRIGHT SIDE
## 42 42 vcsabiavideos
## 43 43 sonymusicindiaVEVO
## 44 44 KatyPerryMusic
## 45 45 getmovies
## 46 46 DjWalkzz
## 47 47 A4
## 48 48 ShemarooEnt
## 49 49 Like Nastya Show
## 50 50 ABSCBNOnline
## 51 51 Voot Kids
## 52 52 speedrecordss
## 53 53 LittleBabyBum
## 54 54 LuisitoComunicaa
## 55 55 MashaMedvedTV
## 56 56 Shakira
## 57 57 KimberlyLoaiza
## 58 58 venus
## 59 59 luccasneto
## 60 60 TheEllenShow
## 61 61 gr6explode
## 62 62 XXXTENTACION
## 63 63 toysandcolors
## 64 64 WorkpointOfficial
## 65 65 MashaBearEN
## 66 66 ARY Digital HD
## 67 67 AddictedA1
## 68 68 DaddyYankeeOFFTV
## 69 69 shfa2 - شفا
## 70 70 TEDxTalks
## 71 71 shfa
## 72 72 SuperSimpleSongs
## 73 73 Jkk Entertainment
## 74 74 Mikecrack
## 75 75 Ozuna
## 76 76 Goldmines Gaane Sune Ansune
## 77 77 gmmonetv
## 78 78 Like Nastya ESP
## 79 79 UltraHindi
## 80 80 harpalgeo
## 81 81 Maria Clara & JP
## 82 82 abpnewstv
## 83 83 sonypalindia
## 84 84 TotalGaming093
## 85 85 YouTube
## 86 86 markiplierGAME
## 87 87 Ryan's World
## 88 88 vegetta777
## 89 89 Geet MP3
## 90 90 tseriesapnapunjab
## 91 91 LaGranjaDeZenon
## 92 92 NoCopyrightSounds
## 93 93 IndiaTV
## 94 94 SSSniperWolf
## 95 95 KHANDESHI MOVIES
## 96 96 Ch3Thailand
## 97 97 Vlad và Nikita
## 98 98 selenagomez
## 99 99 tseriesoldisgold
## 100 100 erosentertainment
## 101 101 GENIAL
## 102 102 PowerKidstv
## 103 103 rajshri
## 104 104 SongsOfIndianCinema
## 105 105 MrBean
## 106 106 SMTOWN
## 107 107 babybus
## 108 108 DisneyMusicVEVO
## 109 109 Ricis Official
## 110 110 AllTrapNation
## 111 111 latenight
## 112 112 rezendeevil
## 113 113 AttaHalilintar
## 114 114 Techno Gamerz
## 115 115 WWRBhojpuri
## 116 116 SpinninRec
## 117 117 ImagineDragons
## 118 118 theofficialpeppa
## 119 119 MR. INDIAN HACKER
## 120 120 Wow Kidz
## 121 121 UltraRecords
## 122 122 Maluma
## 123 123 Genevieve's Playhouse - Learning Videos for Kids
## 124 124 jacksepticeye
## 125 125 GMANETWORK
## 126 126 toyoraljanahtv
## 127 127 DONA 도나
## 128 128 Karolgmusic
## 129 129 TalkingTomCat
## 130 130 Little Angel: Nursery Rhymes & Kids Songs
## 131 131 zeenews
## 132 132 Diana and Roma ESP
## 133 133 TheLateLateShow
## 134 134 व्लाद और निकिता
## 135 135 TwiNboTzVids
## 136 136 TheDonato
## 137 137 infobellstamil
## 138 138 AboFlah
## 139 139 adityamusic
## 140 140 taylorgangent
## 141 141 Bounce Patrol - Kids Songs
## 142 142 michaeljackson
## 143 143 infobellstelugu
## 144 144 enchufetv
## 145 145 TheDiamondMinecart
## 146 146 toycantando
## 147 147 Sandeep Maheshwari
## 148 148 WorldStarHipHopTV
## 149 149 jypentertainment
## 150 150 xSkyHeLLxx
## 151 151 VanossGaming
## 152 152 nickelodeonjuniorfr
## 153 153 Goldmines Dishoom
## 154 154 1MILLION Dance Studio
## 155 155 LosPolinesios
## 156 156 adityamovies
## 157 157 mariliamendoncareal
## 158 158 beyonce
## 159 159 MashaOso
## 160 160 Raffy Tulfo in Action
## 161 161 RihannaVEVO
## 162 162 NewOnNetflix
## 163 163 Jess No Limit
## 164 164 RatitasPandilleras
## 165 165 smosh
## 166 166 WatchMojo
## 167 167 Crazy XYZ
## 168 168 postmalone
## 169 169 davidguettavevo
## 170 170 shemaroomovies
## 171 171 Rans Entertainment
## 172 172 Amit Bhadana
## 173 173 LOENENT
## 174 174 Chloe Ting
## 175 175 TheEnaldinhO
## 176 176 ColdplayVEVO
## 177 177 Diana and Roma HIN
## 178 178 ChrisBrownTV
## 179 179 TRANS7indonesia
## 180 180 Goldmines Bollywood
## 181 181 NinjasHyper
## 182 182 ABPLIVE
## 183 183 JamesCharles
## 184 184 HumNetwork
## 185 185 Logan Paul
## 186 186 Happy Lives
## 187 187 EnriqueIglesiasPlay
## 188 188 Troom Troom
## 189 189 NickyJamTV
## 190 190 netdmuzikk
## 191 191 Mister Max
## 192 192 WB Kids
## 193 193 mildicasdemulher
## 194 194 JellyYT
## 195 195 Anuel AA
## 196 196 SesameStreet
## 197 197 The Lallantop
## 198 198 likenastyaae
## 199 199 Frost Diamond
## 200 200 MrBeast en Español
## 201 201 D Billions
## 202 202 onemeeeliondollars
## 203 203 VenusMovies
## 204 204 Miss Katy
## 205 205 DrossRotzank
## 206 206 AmericasGotTalent
## 207 207 Technical Guruji
## 208 208 Diana and Roma ARA
## 209 209 gmmgrammyofficial
## 210 210 Smile Family
## 211 211 goldmineshindi
## 212 212 TED
## 213 213 PeppaLatinoAmericano
## 214 214 mmoshaya
## 215 215 WHBBP
## 216 216 WaveMusicBhojpuri
## 217 217 sia
## 218 218 PenIndiaPvtLimited
## 219 219 Brent Rivera
## 220 220 oRugrat
## 221 221 Paulo Londra
## 222 222 starplus
## 223 223 PrestonPlayz
## 224 224 BabyBus - Canciones Infantiles & Videos para Niños
## 225 225 Juan De Dios Pantoja
## 226 226 shfa show India
## 227 227 Like Nastya PRT
## 228 228 CharliesVlogs
## 229 229 SSundee
## 230 230 ★ Kids Roma Show
## 231 231 Goldmines Cineplex
## 232 232 LankyBox
## 233 233 FGTeeV
## 234 234 Tasty
## 235 235 UltraMovieParlour
## 236 236 NationalGeographic
## 237 237 5-Minute Crafts DIY
## 238 238 Baim Paula
## 239 239 Kids TV - Nursery Rhymes And Baby Songs
## 240 240 CanalCanalha
## 241 241 DisneyChannelLA
## 242 242 BeastReacts
## 243 243 Brave Wilderness
## 244 244 RotanaAudio
## 245 245 Vlad and Niki Arabic
## 246 246 Zhong
## 247 247 Alan Becker
## 248 248 JakePaulProductions
## 249 249 TheElenaYa
## 250 250 toyorbabytv
## 251 251 BuzzFeedVideo
## 252 252 TelenovelaTelevisa
## 253 253 LazarBeam
## 254 254 gmapublicaffairs
## 255 255 MrVivekBindra
## 256 256 Kinder Spielzeug Kanal
## 257 257 NetflixIndiaOfficial
## 258 258 AuthenticGames
## 259 259 SlivkiChanel
## 260 260 Totoy kids - Português
## 261 261 5-Minute Crafts PLAY
## 262 262 TheFineBros
## 263 263 VEVO
## 264 264 HaerteTest
## 265 265 pencilmation
## 266 266 romeo
## 267 267 Mnet
## 268 268 PTXofficial
## 269 269 Sun TV
## 270 270 MARVEL
## 271 271 Eva Bravo Play
## 272 272 fatosdesconhecidos
## 273 273 corbuzier
## 274 274 Noor Stars
## 275 275 gottalentglobal
## 276 276 Infinite
## 277 277 Kurzgesagt
## 278 278 Dushyant kukreja
## 279 279 invictorgs3
## 280 280 gordonramsay
## 281 281 Gusttavo Lima Oficial
## 282 282 Vania Mania Kids
## 283 283 RobinHoodGamer1
## 284 284 NBA
## 285 285 TroomTroom_Es
## 286 286 AlejoIgoa
## 287 287 OfficialClashOfClans
## 288 288 The Royalty Family
## 289 289 Kids Channel India - Hindi Rhymes and Baby Songs
## 290 290 DLSNews
## 291 291 BabyBus - Cerita & Lagu Anak-anak
## 292 292 AS Gaming
## 293 293 Crafty Panda
## 294 294 greengoldtv
## 295 295 Maya and Mary
## 296 296 BritainsGotTalent09
## 297 297 TRT Originals Urdu
## 298 298 YOLO AVENTURAS
## 299 299 JimmyKimmelLive
## 300 300 NichLmao
## 301 301 sonotekvideo
## 302 302 Heidi & Zidane बच्चों की कहानियाँ
## 303 303 The ACE Family
## 304 304 Junya Official Channel
## 305 305 PinkPanther
## 306 306 CookieSwirlC
## 307 307 MiawAug
## 308 308 Sourav Joshi Vlogs
## 309 309 Emiway Bantai
## 310 310 TheWillyrex
## 311 311 ElTrollino
## 312 312 Village Cooking Channel
## 313 313 TheOdd1sOut
## 314 314 HiBestMan
## 315 315 kbsworld
## 316 316 turmadamonicaTV
## 317 317 Vlad and Niki IDN
## 318 318 DanielSaboya
## 319 319 SCTVIndonesia
## 320 320 PDKFilms
## 321 321 farrukotv
## 322 322 Rafa & Luiz
## 323 323 Unbox Therapy
## 324 324 Vsauce
## 325 325 DUDUeCAROL
## 326 326 INCRÍVEL
## 327 327 GEN HALILINTAR
## 328 328 etvteluguindia
## 329 329 Like Nastya Vlog
## 330 330 Naisa Alifia Yuriza (N.A.Y)
## 331 331 STARVIJAY
## 332 332 dj47maryn
## 333 333 rsiammusic
## 334 334 Kiddiestv Hindi - Nursery Rhymes & Kids Songs
## 335 335 ThePoznavatel
## 336 336 rhettandlink2
## 337 337 Little Angel Español - Canciones Infantiles
## 338 338 Matroix
## 339 339 TEDEducation
## 340 340 7clouds
## 341 341 TheGrefg
## 342 342 SockeyeMedia
## 343 343 SebastianYatra
## 344 344 JFlaMusic
## 345 345 Masha e o Urso
## 346 346 aMOODIEsqueezie
## 347 347 FactTechz
## 348 348 SOMOY TV
## 349 349 SUPER SLICK SLIME SAM
## 350 350 RobleisIUTU
## 351 351 grammygoldofficia
## 352 352 portadosfundos
## 353 353 rkddigital
## 354 354 Sony AATH
## 355 355 Stubborn Facts
## 356 356 alanalan9635
## 357 357 ArabGamesNetwork
## 358 358 iberethenorio
## 359 359 Dhar Mann
## 360 360 triggeredinsaan
## 361 361 indiancomedy
## 362 362 Willyrex
## 363 363 Sidemen
## 364 364 Goldmines Great Indian Comedy
## 365 365 fedevigevani
## 366 366 EeOneGuy
## 367 367 Jane ASMR 제인
## 368 368 musicalrmastv
## 369 369 IGNentertainment
## 370 370 JasonDerulo
## 371 371 SonyMusicSouthVEVO
## 372 372 aynakoitsroi
## 373 373 AnittaOficial
## 374 374 tanboykun
## 375 375 Zuni and Family
## 376 376 zbingzbing
## 377 377 Smile Family Spanish
## 378 378 Apple
## 379 379 TheBrianMaps
## 380 380 Tu COSMOPOLIS
## 381 381 Dangal TV Channel
## 382 382 Katie Angel
## 383 383 LIV Crime
## 384 384 Prajapati News
## 385 385 Blippi - Educational Videos for Kids
## 386 386 jquintanac5
## 387 387 Bizarrap
## 388 388 queenofficial
## 389 389 IDEAS EN 5 MINUTOS
## 390 390 News24page
## 391 391 GameTheory
## 392 392 VICE
## 393 393 TRANSTVofficial
## 394 394 lescopaque
## 395 395 Sandra Cires Art
## 396 396 ppextras
## 397 397 marquesbrownlee
## 398 398 El Reino a Jugar
## 399 399 AMARINTV : อมรินทร์ทีวี
## 400 400 Jason Vlogs
## 401 401 Kaykai Salaider
## 402 402 And TV
## 403 403 failarmy
## 404 404 Aayu and Pihu Show
## 405 405 KSIOlajidebtHD
## 406 406 Zappy Toons - Hindi Nursery Rhymes and Stories
## 407 407 IvanaAlawi
## 408 408 boyceavenue
## 409 409 AlanChikinChow
## 410 410 Like Nastya VNM
## 411 411 popchartbusters
## 412 412 MegatoadStonie
## 413 413 PitbullMusic
## 414 414 DopeLyrics
## 415 415 JenniferLopez
## 416 416 Kids Play
## 417 417 FunFunMiniWorld
## 418 418 Wow Kidz Action
## 419 419 Enes Batur
## 420 420 AdMe
## 421 421 OGatoGalactico
## 422 422 Busy Fun Ltd
## 423 423 movieclipsTRAILERS
## 424 424 RCTI - LAYAR DRAMA INDONESIA
## 425 425 FitDanceTV
## 426 426 Like Nastya IDN
## 427 427 Dyland PROS
## 428 428 wifistudy
## 429 429 With Kids[위드키즈]
## 430 430 laharimusic
## 431 431 SriBalajiMovies
## 432 432 Zach Choi ASMR
## 433 433 SAM SMITH
## 434 434 RomanAtwoodVlogs
## 435 435 T3DDYgames
## 436 436 Vlad and Niki ESP
## 437 437 Fun For Kids TV - Hindi Rhymes
## 438 438 gmmtv
## 439 439 news18India
## 440 440 bbtvch7
## 441 441 elcanaldePlimPlim
## 442 442 popskids
## 443 443 LOKESH GAMER
## 444 444 Kerajinan 5-Menit
## 445 445 LEGO
## 446 446 SelenaGomezVEVO
## 447 447 bbchindi
## 448 448 ndtvindia
## 449 449 La Rosa de Guadalupe
## 450 450 narendramodionline
## 451 451 hejproducao
## 452 452 5-Minute Crafts FAMILY
## 453 453 Oyuncak Avı
## 454 454 sagawa
## 455 455 newvolgavideo
## 456 456 mkmusicnews
## 457 457 TheRichest
## 458 458 Super Senya
## 459 459 TalkingFriends
## 460 460 حِرف إبداعية في 5 دقائق
## 461 461 thairathonline
## 462 462 Makiman131
## 463 463 LinusTechTips
## 464 464 nianaguerrero
## 465 465 mariale
## 466 466 ranziscool
## 467 467 pognalishow
## 468 468 TWICE
## 469 469 RiotGamesInc
## 470 470 TeamFilmsBhojpuri
## 471 471 BollywoodClassics
## 472 472 ChallengeAcceptedInc
## 473 473 Zach King
## 474 474 Dave and Ava - Nursery Rhymes and Baby Songs
## 475 475 PragatiVermaaShorts
## 476 476 Daftar Populer
## 477 477 CraftBattleDuty
## 478 478 Unspeakable
## 479 479 zncoficial
## 480 480 ERB
## 481 481 kwebbelkop
## 482 482 MobileLegends5v5MOBA
## 483 483 Arif muhammad
## 484 484 Johny FamilyShow
## 485 485 Totoy kids - Español
## 486 486 jemproducoes
## 487 487 iTownGamePlay
## 488 488 It's Mamix
## 489 489 majorlazer
## 490 490 Planeta das Gêmeas
## 491 491 MSA previously My Story Animated
## 492 492 BlippiEspanol
## 493 493 LEGENDA FUNK
## 494 494 XpressTV
## 495 495 حقائق وأسرار
## 496 496 IDEIAS INCRÍVEIS
## 497 497 FueledByRamen
## 498 498 Taarak Mehta Ka Ooltah Chashmah
## 499 499 MattyBRaps
## 500 500 collegehumor
## 501 501 IISuperwomanII
## 502 502 zeefilmimusic
## 503 503 PlayStation
## 504 504 CNN
## 505 505 UFC
## 506 506 Genierock
## 507 507 Canal Nostalgia
## 508 508 Drawblogs
## 509 509 TheABSCBNNews
## 510 510 Ajay Sharma
## 511 511 Gyan Gamingㅤ
## 512 512 Daily Dose Of Internet
## 513 513 انصالة فاميلي I أنس و أصالة
## 514 514 Boram Tube ToysReview [보람튜브 토이리뷰]
## 515 515 Super Polina
## 516 516 chadwildclay
## 517 517 MartinGarrix
## 518 518 MY FAMILY
## 519 519 Kuplinov ► Play
## 520 520 O Canal do Joãozinho - Little Angel Português
## 521 521 CH8vdo
## 522 522 A2 Motivation by Arvind Arora
## 523 523 EdisonPts
## 524 524 Hongyu ASMR 홍유
## 525 525 TroomTroomRu
## 526 526 fcbarcelona
## 527 527 inventonahoratv
## 528 528 DM - Desi Melodies
## 529 529 camilaloures
## 530 530 Vlad and Niki ARA
## 531 531 SrtaLynaV
## 532 532 crashcourse
## 533 533 OfficialTrapCity
## 534 534 MazhavilManorama
## 535 535 MasterskayaNastroeny
## 536 536 Doc Tops
## 537 537 whoisjimmy
## 538 538 #Refugio Mental
## 539 539 5-Minute Crafts Recycle
## 540 540 MNCTVOfficial
## 541 541 Dear Sir
## 542 542 mispastelitosyoutub
## 543 543 Auron
## 544 544 bomberball
## 545 545 AM3NlC
## 546 546 F2Freestylers
## 547 547 NikkieTutorials
## 548 548 RosannaPansino
## 549 549 Aadishakti Films
## 550 550 dangmattsmith
## 551 551 gmmchannel
## 552 552 ABCNews
## 553 553 Zig & Sharko
## 554 554 The MriDul
## 555 555 Yoeslan
## 556 556 SRKASSAMESE
## 557 557 GLENTYOUTUBE
## 558 558 vetealaversha
## 559 559 NOBRU
## 560 560 katakit_baby
## 561 561 TazerCraft
## 562 562 MAIKI021
## 563 563 telemundotv
## 564 564 Like Nastya Stories
## 565 565 Wish 107.5
## 566 566 ZEE5
## 567 567 Bispo Bruno Leonardo
## 568 568 WWWengie
## 569 569 Coke Studio
## 570 570 hamaarbhojpuri
## 571 571 bandagarotasafada
## 572 572 boplayhard
## 573 573 KompasTVNews
## 574 574 Infobells Bangla
## 575 575 Narins Beauty
## 576 576 TV Ana Emilia
## 577 577 jordanmatter
## 578 578 OReinho
## 579 579 FAPtivi
## 580 580 PrestonPlayz
## 581 581 lindseystomp
## 582 582 The World Adventures हिन्दी
## 583 583 123 GO! Spanish
## 584 584 bbcnews
## 585 585 disneyjunior
## 586 586 Online Job
## 587 587 ETV Jabardasth
## 588 588 MyMissAnand
## 589 589 AzzyLand
## 590 590 Ben Azelart
## 591 591 Sony Music South
## 592 592 PowerfulJRE
## 593 593 iloveindianmakeup
## 594 594 H2ODelirious
## 595 595 Desi Gamers
## 596 596 Juliana Baltar
## 597 597 Zeinab Harake
## 598 598 StudyIQ IAS
## 599 599 Narendra Modi
## 600 600 TheQ_original
## 601 601 theRadBrad
## 602 602 PozzitifonShow
## 603 603 skillzaisherebooya
## 604 604 NishaMadhulika
## 605 605 LeoNata Family
## 606 606 tseriesregional
## 607 607 The LaBrant Fam
## 608 608 SaturdayNightLive
## 609 609 rebeccazamolo1
## 610 610 Alex Gonzaga Official
## 611 611 jazzghost1
## 612 612 djzoi0
## 613 613 zeetvtelugu
## 614 614 أترو/Atro
## 615 615 BBC
## 616 616 MattSDance
## 617 617 JDCav24
## 618 618 ماشا و الدب
## 619 619 typicalgamer
## 620 620 redetv
## 621 621 Lady Diana
## 622 622 Crescendo com Luluca
## 623 623 O Que Não Dizer Oficial
## 624 624 VexTrex
## 625 625 einerdtv
## 626 626 MstrJames
## 627 627 JOJO TV - Hindi Stories
## 628 628 karameeshchannel
## 629 629 Brawl Stars
## 630 630 JamunaTVbd
## 631 631 MrSuicideSheep
## 632 632 Meghan Trainor
## 633 633 Danny Fitt
## 634 634 DJ Khaled
## 635 635 thinkmusicindia
## 636 636 BUDI01 GAMING
## 637 637 ComePlayWithMe
## 638 638 MusicTalentNow
## 639 639 GoldClassics
## 640 640 #Refúgio Mental
## 641 641 gymvirtual
## 642 642 storybots
## 643 643 zeebangla
## 644 644 awakeningrecords
## 645 645 BIBO와 장난감
## 646 646 KabitasKitchen
## 647 647 sonyliv
## 648 648 Knowledge Tv हिन्दी
## 649 649 Mythpat
## 650 650 PeppaPigPortuguesOficial
## 651 651 Health Time
## 652 652 Blockbuster Movies
## 653 653 JesseAndMike
## 654 654 DeGoBooM
## 655 655 Blossom
## 656 656 My Mate Nate
## 657 657 Mrwhosetheboss
## 658 658 gmanews
## 659 659 Codiscos
## 660 660 kidstvindia
## 661 661 Melon City Show - برنامج ولاية بطيخ
## 662 662 RS1313Shorts
## 663 663 AdexeOficial
## 664 664 TheDodoSite
## 665 665 1032010814
## 666 666 Trakin Tech
## 667 667 FIFATV
## 668 668 TheInfographicsShow
## 669 669 caseyneistat
## 670 670 TastyCompot
## 671 671 KidsLineKOYA
## 672 672 Piuzinho
## 673 673 KapilComedyNights
## 674 674 parafernalha
## 675 675 Troom Troom India
## 676 676 geonews
## 677 677 htbhakti
## 678 678 E-MasterSensei
## 679 679 elliegoulding
## 680 680 RaptorGamer
## 681 681 Vlad and Niki PRT
## 682 682 LOUD
## 683 683 TV9 Bharatvarsh
## 684 684 TalkingAngelaCat
## 685 685 TechnologyGyan
## 686 686 Yudist Ardhana
## 687 687 TroomTroom_Pt
## 688 688 Gibby :)
## 689 689 LittleBabyBumEspanol
## 690 690 React
## 691 691 Indore Physical Academy
## 692 692 officialfuturevideos
## 693 693 HZHtube Kids Fun
## 694 694 JustForLaughsTV
## 695 695 Americanvogue
## 696 696 officialjassrecords
## 697 697 DisneyChannelUK
## 698 698 user-ik9wu8di9o
## 699 699 ndtv
## 700 700 Más SKabeche
## 701 701 Republic Bharat
## 702 702 Rauw Alejandro
## 703 703 CHHOTU KI MASTI
## 704 704 Луномосик
## 705 705 Bela Bagunça
## 706 706 WaveMusicBhakti
## 707 707 N1Noobtubers
## 708 708 Akon
## 709 709 BanderitaX
## 710 710 dednahype
## 711 711 TheDaniRep
## 712 712 lucygerardi43
## 713 713 AvrilLavigne
## 714 714 Troom Troom Indonesia
## 715 715 Panda.
## 716 716 IceCreamRolls
## 717 717 YairAuriazul
## 718 718 123 GO!
## 719 719 Planet Earth INDIA
## 720 720 Lulu99
## 721 721 YoungBoy Never Broke Again
## 722 722 MrTimbaVk
## 723 723 Влад и Никита
## 724 724 TiempodeSol
## 725 725 infobellskannada
## 726 726 colinfurze
## 727 727 Natti Natasha
## 728 728 emma chamberlain
## 729 729 Nat and Essie
## 730 730 Mor Haryanvi
## 731 731 eltreceok
## 732 732 TsMadaan
## 733 733 KaKa Kids TV - Nursery Rhymes Kids Animated Songs
## 734 734 CNCO
## 735 735 Koo Koo TV - Hindi
## 736 736 Kluna Tik
## 737 737 blackeyedpeasvideo
## 738 738 elrubius
## 739 739 Hero Movies 2022
## 740 740 MBCMASR
## 741 741 EU FICO LOKO
## 742 742 MrGear
## 743 743 TTfue
## 744 744 MC Divertida
## 745 745 FirstWeFeast
## 746 746 MORGENSHTERN
## 747 747 QuantumTech
## 748 748 Heidi y Zidane
## 749 749 prantoniojunior
## 750 750 Free Fire India Official
## 751 751 PinkVideoVault
## 752 752 SBTonline
## 753 753 MashaBearUkraine
## 754 754 Acenix
## 755 755 GoldminesAction
## 756 756 FrontaL Gaming
## 757 757 WildNOut
## 758 758 Garena Free Fire LATAM
## 759 759 francoescamilla
## 760 760 penguinz0
## 761 761 Diana and Roma IND
## 762 762 hawkrecord
## 763 763 Pari's Lifestyle
## 764 764 TWO SIDE GAMERS
## 765 765 bharatzkitchen HINDI
## 766 766 AlArabiya
## 767 767 الجانب المُشرق | Bright Side Arabic
## 768 768 YMWayneCarter
## 769 769 CrazyRussianHacker
## 770 770 FlowersComedy
## 771 771 FelipeViktor
## 772 772 Lofi Girl
## 773 773 Biperysusamigos
## 774 774 pocoyotv
## 775 775 Jaiden Animations
## 776 776 realannoyingorange
## 777 777 BBCEarth
## 778 778 kendricklamar5461
## 779 779 Morgz
## 780 780 CarryisLive
## 781 781 VyQwaint
## 782 782 ExpCaseros
## 783 783 TheViralFeverVideos
## 784 784 Flamingo
## 785 785 toysplay
## 786 786 FilmTheorists
## 787 787 crackrockcandy
## 788 788 hoiitsroi
## 789 789 Star Casablanca | نجوم الدار البيضاء
## 790 790 UnspeakableGaming
## 791 791 Taylor RS
## 792 792 epicfortnite
## 793 793 قناة وناسة - Wanasah TV
## 794 794 watchcut
## 795 795 oyabakatousan
## 796 796 CaptainSparklez
## 797 797 ElRinconDeGiorgio
## 798 798 mylifeaseva
## 799 799 zeetamil
## 800 800 InsideEdition
## 801 801 luzugames
## 802 802 NirahuaMusic
## 803 803 BakLol Video
## 804 804 Avocado Couple I Crazy Comics
## 805 805 Virgínia Fonseca
## 806 806 brancoala
## 807 807 ArynewsTvofficial
## 808 808 Ya - Alisa
## 809 809 korayzeynep0
## 810 810 MagicFive5
## 811 811 RachitRojha
## 812 812 aljazeerachannel
## 813 813 MrGustavoParodias
## 814 814 sagahits
## 815 815 comedycentral
## 816 816 RapGeniusVideo
## 817 817 Oum Walid
## 818 818 Morphle TV
## 819 819 SEVENGERS
## 820 820 Stray Kids
## 821 821 mrplotvideos
## 822 822 OGGY
## 823 823 LikeTeamEnglish
## 824 824 DemolitionRanch
## 825 825 doctruyencotich
## 826 826 chotoonz
## 827 827 Barbie
## 828 828 JessicaJane99
## 829 829 dobrebrothers
## 830 830 oyuncakoynuyorumtv
## 831 831 viihtubeoficial
## 832 832 telugufilmnagar
## 833 833 설기양SULGI
## 834 834 zeeqindia
## 835 835 SanjoyDasOfficial
## 836 836 BeAmazed
## 837 837 GamesEduUu
## 838 838 Lycoman Facts
## 839 839 NEXT9NEWS हर खबर आप तक
## 840 840 NASA
## 841 841 Painzeiro
## 842 842 hasanjr11
## 843 843 historychannel
## 844 844 jpgameplayfull
## 845 845 RDCGujarati
## 846 846 BIBO и Игрушки
## 847 847 ctctv
## 848 848 Levinho
## 849 849 pinkfongko
## 850 850 ExplosmEntertainment
## 851 851 XHuevaX
## 852 852 Pen Multiplex
## 853 853 Slogomanify
## 854 854 Ryan Trahan
## 855 855 Vox
## 856 856 Peppa Pig Hindi
## 857 857 HikakinTV
## 858 858 Milena Stepanienco - MILENINHA
## 859 859 rathorvideo
## 860 860 OfficiallyAnneMarie
## 861 861 Juanpa Zurita
## 862 862 videogyan
## 863 863 5-Minute Crafts LIKE
## 864 864 GolemcitoGames
## 865 865 TroomTroom_Arabic
## 866 866 WAMIndiaMovies
## 867 867 THE BROWN SIBLINGS
## 868 868 KiKiDo
## 869 869 woodyandkleiny
## 870 870 Área Secreta
## 871 871 sadhguru
## 872 872 mamilosmolengas
## 873 873 CasoCerrado
## 874 874 Experienced Mojaraba TV
## 875 875 GIMS
## 876 876 Joe HaTTab
## 877 877 Goldmines Housefull
## 878 878 mirandasings08
## 879 879 redbull
## 880 880 ChuChuTV Hindi
## 881 881 timesmusicindia
## 882 882 DentalDigest
## 883 883 DRJRecordsSpecials
## 884 884 ComedyShortsGamer
## 885 885 PinaRecordsVideos
## 886 886 WarnerBrosPictures
## 887 887 Google
## 888 888 DuDuPopTOY
## 889 889 Kids smile TV
## 890 890 MUSATANVEER
## 891 891 Primitive Technology
## 892 892 TikTak Draw
## 893 893 Talent Recap
## 894 894 Airrack
## 895 895 [햄지]Hamzy
## 896 896 stampylonghead
## 897 897 Alexa Rivera
## 898 898 Utkarsh Classes Jodhpur
## 899 899 user-eg5ud6ut6s
## 900 900 soicon295
## 901 901 Hindi Fairy Tales
## 902 902 PrankvsPrank
## 903 903 Family Box
## 904 904 sbtthenoite
## 905 905 craftingeek
## 906 906 Pinkfong en español - Canciones Infantiles
## 907 907 francinyehlke
## 908 908 AdamThomasMoran
## 909 909 GoProCamera
## 910 910 ChillStepNation
## 911 911 MTV
## 912 912 Toymong tv 토이몽TV
## 913 913 bbcarabic
## 914 914 atv
## 915 915 TeremokTV
## 916 916 TeamMojang
## 917 917 Comedy Captain
## 918 918 Eli Kids - Cartoons & Songs
## 919 919 CJENMMUSIC
## 920 920 Behindwoodstv
## 921 921 Rawan and Rayan
## 922 922 Cris Devil Gamer
## 923 923 GeorgeNotFound
## 924 924 GemaNadaPertiwi
## 925 925 Hindi Kahaniya
## 926 926 CS Bisht Vines
## 927 927 williesalim
## 928 928 Farjana Drawing Academy
## 929 929 Heroine Movies 2022
## 930 930 MTflims
## 931 931 VikiShow
## 932 932 ReceitasdePai
## 933 933 Doctor Mike
## 934 934 Lorrayne Oliveira
## 935 935 Oneindia Hindi | वनइंडिया हिंदी
## 936 936 singkingkaraoke
## 937 937 LittleAngelIndonesia
## 938 938 Adriana Show
## 939 939 PattymayoTv
## 940 940 BrPVPHu3
## 941 941 5-Minute Recipes
## 942 942 Playing with Rafael
## 943 943 bhaktisongs
## 944 944 TwinRoozi 쌍둥이 루지
## 945 945 Baby Big Mouth Kids - Sing, Dance, Explore
## 946 946 SaraBeautyCorner
## 947 947 TomorrowlandChannel
## 948 948 EugenBro
## 949 949 HiTechIslamic
## 950 950 서은일상이야기
## 951 951 XO TEAM
## 952 952 TeremokSongs
## 953 953 AsapSCIENCE
## 954 954 Jugnu Kids - Nursery Rhymes and Best Baby Songs
## 955 955 The Daily Show with Trevor Noah
## 956 956 SpriteDer SPD
## 957 957 0214mex
## 958 958 VYRLOriginals
## 959 959 PrimeVideoIN
## 960 960 HeeraGoldOfficial
## 961 961 cleanbandit
## 962 962 Survival Builder
## 963 963 Hindi Countdown
## 964 964 Sanam
## 965 965 Salman Noman
## 966 966 TopMovieClips
## 967 967 SiaVEVO
## 968 968 Islam Populer
## 969 969 topperguild
## 970 970 AnandAudio
## 971 971 Wylsacom
## 972 972 SONU SHARMA
## 973 973 nikhirschi
## 974 974 JessicaJulioeBaby
## 975 975 T-STUDIO
## 976 976 ThePersica
## 977 977 123 GO! Hindi
## 978 978 DalasReview
## 979 979 nhstudioz
## 980 980 NFL
## 981 981 ChuChuTV Español
## 982 982 Sơn Tùng M-TP Official
## 983 983 htv2channel
## 984 984 Luan Palomera
## 985 985 Roshan Zindagi
## 986 986 Eagle Home Entertainments
## 987 987 مصطفى GAME OVER
## 988 988 GadgetIn
## 989 989 RUOK
## 990 990 Sabkuchhsikhojano
## 991 991 Harpreet SDC
## 992 992 FoxNewsChannel
## 993 993 Santa Fe Klan Official
## 994 994 Boram Tube Show
## 995 995 Diana and Roma PRT
## 996 996 SULE PRODUCTIONS
## 997 997 Dynamo Gaming
## 998 998 one_Iraqi_Diary
## 999 999 ClassicMrBean
## 1000 1000 Anupam Movie Songs
## 1001 970 AnandAudio
## 1002 971 Wylsacom
## 1003 986 Eagle Home Entertainments
## youtuber.name Category
## 1 T-Series Music & Dance
## 2 SET India
## 3 Cocomelon - Nursery Rhymes Education
## 4 MrBeast Video games
## 5 PewDiePie Animation
## 6 ✿ Kids Diana Show Animation
## 7 Like Nastya Toys
## 8 WWE Video games
## 9 Vlad and Niki Animation
## 10 Zee Music Company Music & Dance
## 11 BLACKPINK Music & Dance
## 12 Goldmines
## 13 5-Minute Crafts
## 14 Sony SAB Movies
## 15 BANGTANTV Music & Dance
## 16 HYBE LABELS Music & Dance
## 17 Canal KondZilla Music & Dance
## 18 Zee TV
## 19 Shemaroo Filmi Gaane Music & Dance
## 20 Pinkfong Baby Shark - Kids' Songs & Stories Animation
## 21 ChuChu TV Nursery Rhymes & Kids Songs Toys
## 22 Dude Perfect Video games
## 23 Movieclips Movies
## 24 Colors TV
## 25 Marshmello Music & Dance
## 26 T-Series Bhakti Sagar Music & Dance
## 27 Tips Official Music & Dance
## 28 Wave Music Music & Dance
## 29 Aaj Tak News & Politics
## 30 Sony Music India Music & Dance
## 31 El Reino Infantil Music & Dance
## 32 Ed Sheeran Music & Dance
## 33 LooLoo Kids - Nursery Rhymes and Children's Songs Music & Dance
## 34 Taylor Swift Music & Dance
## 35 YRF Music & Dance
## 36 BillionSurpriseToys - English Kids Songs & Cartoon Toys
## 37 Infobells - Hindi Education
## 38 JuegaGerman Movies
## 39 Badabun
## 40 Felipe Neto
## 41 BRIGHT SIDE Animation
## 42 Você Sabia?
## 43 SonyMusicIndiaVEVO Music & Dance
## 44 Katy Perry Music & Dance
## 45 Get Movies
## 46 Alan Walker Music & Dance
## 47 A4 Animation
## 48 Shemaroo
## 49 Like Nastya Show Animation
## 50 ABS-CBN Entertainment
## 51 Voot Kids Movies
## 52 Speed Records Music & Dance
## 53 Little Baby Bum - Nursery Rhymes & Kids Songs Animation
## 54 Luisito Comunica
## 55 Маша и Медведь Education
## 56 Shakira
## 57 Kimberly Loaiza Daily vlogs
## 58 Ishtar Music Music & Dance
## 59 LUCCAS NETO - LUCCAS TOON Movies
## 60 TheEllenShow
## 61 GR6 EXPLODE Music & Dance
## 62 XXXTENTACION Music & Dance
## 63 Toys and Colors Movies
## 64 WorkpointOfficial
## 65 Masha and The Bear Animation
## 66 ARY Digital HD
## 67 CarryMinati Movies
## 68 Daddy Yankee Music & Dance
## 69 shfa2 - شفا Daily vlogs
## 70 TEDx Talks
## 71 shfa Daily vlogs
## 72 Super Simple Songs - Kids Songs Music & Dance
## 73 Jkk Entertainment
## 74 Mikecrack Movies
## 75 Ozuna Music & Dance
## 76 Goldmines Gaane Sune Ansune Music & Dance
## 77 ช่อง one31
## 78 Like Nastya ESP
## 79 Ultra Bollywood
## 80 HAR PAL GEO
## 81 Maria Clara & JP
## 82 ABP NEWS News & Politics
## 83 Sony PAL
## 84 Total Gaming
## 85 YouTube
## 86 Markiplier Animation
## 87 Ryan's World Animation
## 88 VEGETTA777 Video games
## 89 Geet MP3 Music & Dance
## 90 T-Series Apna Punjab Music & Dance
## 91 La Granja de Zenón Music & Dance
## 92 NoCopyrightSounds Music & Dance
## 93 IndiaTV News & Politics
## 94 SSSniperWolf Humor
## 95 KHANDESHI MOVIES
## 96 Ch3Thailand
## 97 Vlad và Nikita Movies
## 98 Selena Gomez
## 99 Bollywood Classics Music & Dance
## 100 Eros Now Music
## 101 GENIAL Animation
## 102 PowerKids TV Movies
## 103 Rajshri
## 104 Saregama Music Music & Dance
## 105 Mr Bean
## 106 SMTOWN Music & Dance
## 107 BabyBus - Kids Songs and Cartoons Animation
## 108 DisneyMusicVEVO Music & Dance
## 109 Ricis Official Music & Dance
## 110 Trap Nation Music & Dance
## 111 The Tonight Show Starring Jimmy Fallon Movies
## 112 rezendeevil Movies
## 113 AH Music & Dance
## 114 Techno Gamerz
## 115 Worldwide Records Bhojpuri Music & Dance
## 116 Spinnin' Records Music & Dance
## 117 ImagineDragons Music & Dance
## 118 Peppa Pig - Official Channel Toys
## 119 MR. INDIAN HACKER
## 120 Wow Kidz Animation
## 121 Ultra Records Music & Dance
## 122 Maluma Music & Dance
## 123 Genevieve's Playhouse - Learning Videos for Kids Toys
## 124 jacksepticeye Video games
## 125 GMANetwork
## 126 قناة طيور الجنة | toyoraljanahtv Music & Dance
## 127 DONA 도나
## 128 KAROL G Music & Dance
## 129 Talking Tom
## 130 Little Angel: Nursery Rhymes & Kids Songs Toys
## 131 Zee News News & Politics
## 132 Diana and Roma ESP Animation
## 133 The Late Late Show with James Corden Animation
## 134 व्लाद और निकिता
## 135 Lucas and Marcus Animation
## 136 TheDonato
## 137 infobells - Tamil Education
## 138 AboFlah Animation
## 139 Aditya Music Music & Dance
## 140 Wiz Khalifa Music & Dance
## 141 Bounce Patrol - Kids Songs Music & Dance
## 142 Michael Jackson Music & Dance
## 143 infobells - Telugu Education
## 144 enchufetv
## 145 DanTDM Video games
## 146 toycantando Music & Dance
## 147 Sandeep Maheshwari Daily vlogs
## 148 WORLDSTARHIPHOP Music & Dance
## 149 JYP Entertainment Music & Dance
## 150 Renato Garcia Movies
## 151 VanossGaming Animation
## 152 Nick Jr. Animation
## 153 Goldmines Dishoom
## 154 1MILLION Dance Studio
## 155 LosPolinesios Music & Dance
## 156 Aditya Movies
## 157 Marília Mendonça Music & Dance
## 158 Beyoncé
## 159 Masha y el Oso Animation
## 160 Raffy Tulfo in Action News & Politics
## 161 RihannaVEVO Music & Dance
## 162 Netflix Movies
## 163 Jess No Limit Movies
## 164 Las Ratitas
## 165 Smosh Movies
## 166 WatchMojo.com Movies
## 167 Crazy XYZ
## 168 Post Malone Music & Dance
## 169 David Guetta Music & Dance
## 170 Shemaroo Movies
## 171 Rans Entertainment Music & Dance
## 172 Amit Bhadana Humor
## 173 1theK (원더케이)
## 174 Chloe Ting Fitness
## 175 Enaldinho Movies
## 176 Coldplay Music & Dance
## 177 Diana and Roma HIN
## 178 Chris Brown Music & Dance
## 179 TRANS7 OFFICIAL Food & Drinks
## 180 Goldmines Bollywood
## 181 Ninja Animation
## 182 ABPLIVE News & Politics
## 183 James Charles Beauty
## 184 HUM TV
## 185 Logan Paul Video games
## 186 Happy Lives
## 187 Enrique Iglesias Music & Dance
## 188 Troom Troom Animation
## 189 NickyJamTV Music & Dance
## 190 netd müzik Music & Dance
## 191 Mister Max DIY & Life Hacks
## 192 WB Kids Movies
## 193 Tina Pontes
## 194 Jelly Video games
## 195 Anuel AA Music & Dance
## 196 Sesame Street
## 197 The Lallantop News & Politics
## 198 Like Nastya AE
## 199 Frost Diamond Music & Dance
## 200 MrBeast en Español
## 201 D Billions
## 202 Mark Rober Science & Technology
## 203 Venus Movies
## 204 Miss Katy Video games
## 205 DrossRotzank
## 206 America's Got Talent Music & Dance
## 207 Technical Guruji
## 208 Diana and Roma ARA
## 209 GMM GRAMMY OFFICIAL Music & Dance
## 210 Smile Family Movies
## 211 Goldmines Movies
## 212 TED
## 213 Peppa Pig Español Latino - Canal Oficial Toys
## 214 mmoshaya
## 215 White Hill Music Music & Dance
## 216 Wave Music Bhojpuri Music & Dance
## 217 Sia Music & Dance
## 218 Pen Movies Movies
## 219 Brent Rivera Video games
## 220 FaZe Rug Video games
## 221 Paulo Londra Music & Dance
## 222 StarPlus
## 223 Preston Animation
## 224 BabyBus - Canciones Infantiles & Videos para Niños Movies
## 225 Juan De Dios Pantoja Daily vlogs
## 226 shfa show India Daily vlogs
## 227 Like Nastya PRT
## 228 Charlie Puth Music & Dance
## 229 SSundee Video games
## 230 ★ Kids Roma Show Animation
## 231 Goldmines Cineplex
## 232 LankyBox Video games
## 233 FGTeeV Animation
## 234 Tasty Food & Drinks
## 235 Ultra Movie Parlour
## 236 National Geographic
## 237 5-Minute Crafts DIY Music & Dance
## 238 Baim Paula Music & Dance
## 239 Kids TV - Nursery Rhymes And Baby Songs Toys
## 240 Canal Canalha Sports
## 241 Disney Latinoamérica
## 242 Beast Reacts
## 243 Brave Wilderness
## 244 Rotana Music & Dance
## 245 Vlad and Niki Arabic
## 246 Zhong
## 247 Alan Becker Animation
## 248 Jake Paul Fitness
## 249 Diana and Roma EN Animation
## 250 toyorbabytv Music & Dance
## 251 BuzzFeedVideo Food & Drinks
## 252 Tlnovelas
## 253 LazarBeam Animation
## 254 GMA Public Affairs News & Politics
## 255 Dr. Vivek Bindra: Motivational Speaker Education
## 256 Kinder Spielzeug Kanal Animation
## 257 Netflix India
## 258 AuthenticGames Movies
## 259 SlivkiShow Video games
## 260 Totoy kids - Português Animation
## 261 5-Minute Crafts PLAY
## 262 REACT Humor
## 263 Vevo Music & Dance
## 264 HaerteTest
## 265 Pencilmation Animation
## 266 Romeo Santos Music & Dance
## 267 Mnet K-POP Music & Dance
## 268 Pentatonix Music & Dance
## 269 Sun TV
## 270 Marvel Entertainment Movies
## 271 Eva Bravo Play
## 272 Fatos Desconhecidos Science & Technology
## 273 Deddy Corbuzier
## 274 Noor Stars Movies
## 275 Got Talent Global
## 276 Infinite Video games
## 277 Kurzgesagt – In a Nutshell Education
## 278 Dushyant kukreja
## 279 invictor Animation
## 280 Gordon Ramsay Food & Drinks
## 281 Gusttavo Lima Oficial Music & Dance
## 282 Vania Mania Kids Animation
## 283 Robin Hood Gamer Animation
## 284 NBA Sports
## 285 Troom Troom Es
## 286 Alejo Igoa DIY & Life Hacks
## 287 Clash of Clans Movies
## 288 The Royalty Family Humor
## 289 Kids Channel India - Hindi Rhymes and Baby Songs Education
## 290 DLS News News & Politics
## 291 BabyBus - Cerita & Lagu Anak-anak Movies
## 292 AS Gaming
## 293 Crafty Panda Music & Dance
## 294 Green Gold TV - Official Channel
## 295 Maya and Mary Toys
## 296 Britain's Got Talent Music & Dance
## 297 TRT Originals Urdu
## 298 YOLO AVENTURAS
## 299 Jimmy Kimmel Live Movies
## 300 NichLmao Daily vlogs
## 301 Sonotek Music & Dance
## 302 Heidi & Zidane बच्चों की कहानियाँ Daily vlogs
## 303 The ACE Family Humor
## 304 Junya Official Channel
## 305 Official Pink Panther Movies
## 306 CookieSwirlC Video games
## 307 MiawAug Video games
## 308 Sourav Joshi Vlogs Daily vlogs
## 309 Emiway Bantai Music & Dance
## 310 TheWillyrex
## 311 ElTrollino Animation
## 312 Village Cooking Channel
## 313 TheOdd1sOut Movies
## 314 HiMan Video games
## 315 KBS WORLD TV
## 316 Turma da Mônica
## 317 Vlad and Niki IDN Music & Dance
## 318 Dan-Sa / Daniel Saboya Music & Dance
## 319 SCTV Music & Dance
## 320 PDK Films Movies
## 321 Farruko Music & Dance
## 322 Rafa & Luiz Video games
## 323 Unbox Therapy Science & Technology
## 324 Vsauce Science & Technology
## 325 DUDU e CAROL
## 326 INCRÍVEL Animation
## 327 GEN HALILINTAR Music & Dance
## 328 etvteluguindia
## 329 Like Nastya Vlog Daily vlogs
## 330 Naisa Alifia Yuriza (N.A.Y) Music & Dance
## 331 Vijay Television
## 332 Marmok Animation
## 333 RsiamMusic : อาร์สยาม Music & Dance
## 334 Kiddiestv Hindi - Nursery Rhymes & Kids Songs Education
## 335 Познаватель Toys
## 336 Good Mythical Morning Food & Drinks
## 337 Little Angel Español - Canciones Infantiles Animation
## 338 Ali-A Video games
## 339 TED-Ed Science & Technology
## 340 7clouds Music & Dance
## 341 TheGrefg Animation
## 342 Mother Goose Club Playhouse Music & Dance
## 343 Sebastián Yatra Music & Dance
## 344 JFlaMusic Music & Dance
## 345 Masha e o Urso
## 346 SQUEEZIE
## 347 FactTechz Education
## 348 SOMOY TV Daily vlogs
## 349 SUPER SLICK SLIME SAM
## 350 RobleisIUTU Movies
## 351 Grammy Gold Official Music & Dance
## 352 Porta dos Fundos Movies
## 353 RKD Studios
## 354 Sony AATH
## 355 Stubborn Facts News & Politics
## 356 Stokes Twins Video games
## 357 شبكة العاب العرب | Arab Games Network
## 358 Manual do Mundo Science & Technology
## 359 Dhar Mann Health & Self Help
## 360 Triggered Insaan Humor
## 361 Shemaroo Comedy
## 362 Willyrex Video games
## 363 Sidemen Video games
## 364 Goldmines Great Indian Comedy
## 365 Fede Vigevani
## 366 EeOneGuy Music & Dance
## 367 Jane ASMR 제인 Daily vlogs
## 368 الـريماس - Al-Remas Music & Dance
## 369 IGN
## 370 Jason Derulo Music & Dance
## 371 SonyMusicSouthVEVO Music & Dance
## 372 Guava Juice
## 373 Anitta Music & Dance
## 374 tanboy kun Music & Dance
## 375 Zuni and Family Daily vlogs
## 376 zbing z. Animation
## 377 Smile Family Spanish
## 378 Apple Music & Dance
## 379 TheBrianMaps Video games
## 380 Tu COSMOPOLIS News & Politics
## 381 Dangal TV Channel
## 382 Katie Angel
## 383 LIV Crime Daily vlogs
## 384 Prajapati News
## 385 Blippi - Educational Videos for Kids Education
## 386 DeToxoMoroxo Movies
## 387 Bizarrap Music & Dance
## 388 Queen Official Music & Dance
## 389 IDEAS EN 5 MINUTOS
## 390 News24 News & Politics
## 391 The Game Theorists Science & Technology
## 392 VICE News & Politics
## 393 TRANS TV Official Music & Dance
## 394 Les' Copaque Production
## 395 Sandra Cires Art
## 396 ExtraPolinesios Daily vlogs
## 397 Marques Brownlee Science & Technology
## 398 El Reino a Jugar Education
## 399 AMARINTV : อมรินทร์ทีวี News & Politics
## 400 Jason Vlogs Animation
## 401 Kaykai Salaider Movies
## 402 And TV
## 403 FailArmy Animation
## 404 Aayu and Pihu Show Movies
## 405 JJ Olatunji
## 406 Zappy Toons - Hindi Nursery Rhymes and Stories Education
## 407 Ivana Alawi Daily vlogs
## 408 Boyce Avenue Music & Dance
## 409 Alan Chikin Chow
## 410 Like Nastya VNM
## 411 Pop Chartbusters Music & Dance
## 412 Matt Stonie Food & Drinks
## 413 Pitbull Music & Dance
## 414 DopeLyrics Music & Dance
## 415 Jennifer Lopez Music & Dance
## 416 Kids Play
## 417 FunFun Toy Doll TV
## 418 Wow Kidz Action
## 419 Enes Batur Video games
## 420 AdMe Animation
## 421 Gato Galactico | GALÁXIA Animation
## 422 Busy Fun Ltd
## 423 Rotten Tomatoes Trailers Movies
## 424 RCTI - LAYAR DRAMA INDONESIA Music & Dance
## 425 FitDance Music & Dance
## 426 Like Nastya IDN Music & Dance
## 427 Dyland PROS Movies
## 428 wifistudy Education
## 429 With Kids[위드키즈]
## 430 Lahari Music | T-Series Music & Dance
## 431 SriBalajiMovies
## 432 Zach Choi ASMR Daily vlogs
## 433 SAM SMITH
## 434 Roman Atwood Vlogs Movies
## 435 T3ddy Daily vlogs
## 436 Vlad and Niki ESP
## 437 Fun For Kids TV - Hindi Rhymes
## 438 GMMTV OFFICIAL Music & Dance
## 439 News18 India News & Politics
## 440 Ch7HD
## 441 Plim Plim - Kids Songs & Episodes - Spanish Music & Dance
## 442 POPS Kids Animation
## 443 LOKESH GAMER
## 444 Kerajinan 5-Menit Music & Dance
## 445 LEGO Animation
## 446 SelenaGomezVEVO Music & Dance
## 447 BBC News Hindi News & Politics
## 448 NDTV India News & Politics
## 449 La Rosa de Guadalupe
## 450 NMF News News & Politics
## 451 Henrique e Juliano Music & Dance
## 452 5-Minute Crafts FAMILY
## 453 Oyuncak Avı
## 454 Sagawa /さがわ
## 455 Volga Video
## 456 MK MUSIC Music & Dance
## 457 TheRichest News & Politics
## 458 Super Senya Animation
## 459 Talking Tom & Friends Animation
## 460 حِرف إبداعية في 5 دقائق
## 461 Thairath Online News & Politics
## 462 Makiman131 Movies
## 463 Linus Tech Tips Science & Technology
## 464 Niana Guerrero Music & Dance
## 465 Mariale
## 466 Ranz Kyle Humor
## 467 Дима Масленников Video games
## 468 TWICE Music & Dance
## 469 League of Legends Movies
## 470 Team Films Bhojpuri Music & Dance
## 471 Bollywood Classics Music & Dance
## 472 Aphmau Animation
## 473 Zach King Movies
## 474 Dave and Ava - Nursery Rhymes and Baby Songs Education
## 475 Pragati Verma Shorts
## 476 Daftar Populer News & Politics
## 477 Lachlan Video games
## 478 Unspeakable Video games
## 479 Zé Neto e Cristiano
## 480 ERB Music & Dance
## 481 Kwebbelkop Animation
## 482 Mobile Legends: Bang Bang Official Movies
## 483 Arif muhammad Music & Dance
## 484 Johny FamilyShow Music & Dance
## 485 Totoy kids - Español Toys
## 486 Jorge & Mateus Oficial Music & Dance
## 487 iTownGamePlay *Terror&Diversión* News & Politics
## 488 It's Mamix DIY & Life Hacks
## 489 Major Lazer Official Music & Dance
## 490 Planeta das Gêmeas Toys
## 491 MSA previously My Story Animated Animation
## 492 Blippi Español Toys
## 493 LEGENDA FUNK Music & Dance
## 494 XpressTV Science & Technology
## 495 حقائق وأسرار
## 496 IDEIAS INCRÍVEIS
## 497 Fueled By Ramen
## 498 Taarak Mehta Ka Ooltah Chashmah
## 499 MattyBRaps Music & Dance
## 500 CollegeHumor Movies
## 501 Lilly Singh Animation
## 502 Zee Music Classic
## 503 PlayStation
## 504 CNN Music & Dance
## 505 UFC - Ultimate Fighting Championship Sports
## 506 Genierock Music & Dance
## 507 Canal Nostalgia Science & Technology
## 508 Drawblogs Movies
## 509 ABS-CBN News News & Politics
## 510 Ajay Sharma
## 511 Gyan Gamingㅤ
## 512 Daily Dose Of Internet Animals & Pets
## 513 انصالة فاميلي I أنس و أصالة
## 514 Boram Tube ToysReview [보람튜브 토이리뷰] Daily vlogs
## 515 Super Polina
## 516 Chad Wild Clay Movies
## 517 Martin Garrix Music & Dance
## 518 MY FAMILY
## 519 Kuplinov ► Play Video games
## 520 O Canal do Joãozinho - Little Angel Português Animation
## 521 ช่อง8 : Thai Ch8
## 522 A2 Motivation by Arvind Arora
## 523 EdisonPts Video games
## 524 Hongyu ASMR 홍유 ASMR
## 525 Трум Трум Humor
## 526 FC Barcelona Sports
## 527 Invento na Hora Animation
## 528 DM - Desi Melodies Music & Dance
## 529 Camila Loures Movies
## 530 Vlad and Niki ARA
## 531 Lyna Movies
## 532 CrashCourse Science & Technology
## 533 Trap City Music & Dance
## 534 Mazhavil Manorama
## 535 Мастерская Настроения Movies
## 536 Doc Tops Animation
## 537 How Ridiculous Video games
## 538 #Refugio Mental Movies
## 539 5-Minute Crafts Recycle
## 540 MNCTV OFFICIAL Music & Dance
## 541 Dear Sir Education
## 542 Mis Pastelitos Food & Drinks
## 543 Auron Video games
## 544 Bie The Ska
## 545 AM3NlC Food & Drinks
## 546 F2Freestylers - Ultimate Soccer Skills Channel Sports
## 547 NikkieTutorials Design/art
## 548 Rosanna Pansino DIY & Life Hacks
## 549 Aadishakti Films Music & Dance
## 550 DangMattSmith Animation
## 551 GMM25Thailand
## 552 ABC News News & Politics
## 553 Zig & Sharko
## 554 The MriDul
## 555 Yoeslan
## 556 SRK MUSIC Music & Dance
## 557 ГЛЕНТ Video games
## 558 Darkar Company Studios Animation
## 559 NOBRU Video games
## 560 Katakit Baby TV Music & Dance
## 561 TazerCraft Movies
## 562 MAIKI021 Movies
## 563 Telemundo
## 564 Like Nastya Stories
## 565 Wish 107.5 Music & Dance
## 566 ZEE5
## 567 Bispo Bruno Leonardo Music & Dance
## 568 Wengie DIY & Life Hacks
## 569 Coke Studio Music & Dance
## 570 T-Series Hamaar Bhojpuri Music & Dance
## 571 Wesley Safadão Music & Dance
## 572 PlayHard
## 573 KOMPASTV News & Politics
## 574 Infobells Bangla Education
## 575 Narins Beauty
## 576 TV Ana Emilia
## 577 Jordan Matter Music & Dance
## 578 O Reino Infantil Music & Dance
## 579 FAPTV Animation
## 580 PrestonPlayz Animation
## 581 Lindsey Stirling Music & Dance
## 582 The World Adventures हिन्दी Daily vlogs
## 583 123 GO! Spanish Animation
## 584 BBC News News & Politics
## 585 Disney Junior Music & Dance
## 586 Online Job
## 587 ETV Jabardasth
## 588 MyMissAnand Movies
## 589 AzzyLand Animation
## 590 Ben Azelart Video games
## 591 Sony Music South Movies
## 592 PowerfulJRE Daily vlogs
## 593 Anaysa Movies
## 594 H2ODelirious Animation
## 595 Desi Gamers
## 596 Juliana Baltar Movies
## 597 Zeinab Harake Daily vlogs
## 598 StudyIQ IAS Education
## 599 Narendra Modi Science & Technology
## 600 The Q
## 601 theRadBrad Video games
## 602 Поззи Video games
## 603 Conor Maynard Music & Dance
## 604 NishaMadhulika Food & Drinks
## 605 LeoNata Family
## 606 T-Series Regional Music & Dance
## 607 The LaBrant Fam Music & Dance
## 608 Saturday Night Live Movies
## 609 Rebecca Zamolo Video games
## 610 Alex Gonzaga Official Music & Dance
## 611 Jazzghost Animation
## 612 Everson Zoio Movies
## 613 Zee Telugu
## 614 أترو/Atro
## 615 BBC Movies
## 616 Matt Steffanina Music & Dance
## 617 ATHLEAN-X™ Fitness
## 618 ماشا و الدب
## 619 Typical Gamer Video games
## 620 RedeTV News & Politics
## 621 Lady Diana Music & Dance
## 622 Crescendo com Luluca Toys
## 623 O Que Não Dizer Oficial Movies
## 624 VexTrex
## 625 Ei Nerd Movies
## 626 Hacksmith Video games
## 627 JOJO TV - Hindi Stories
## 628 karameeshchannel Music & Dance
## 629 Brawl Stars Animation
## 630 Jamuna TV News & Politics
## 631 MrSuicideSheep
## 632 Meghan Trainor Music & Dance
## 633 Danny Fitt
## 634 DJ Khaled Music & Dance
## 635 Think Music India Music & Dance
## 636 BUDI01 GAMING Movies
## 637 Come Play With Me Toys
## 638 Top Viral Talent
## 639 Goldmines Premiere
## 640 #Refúgio Mental Movies
## 641 gymvirtual Music & Dance
## 642 Netflix Jr. Animation
## 643 Zee Bangla
## 644 Awakening Music Music & Dance
## 645 BIBO와 장난감
## 646 Kabita's Kitchen
## 647 Sony LIV
## 648 Knowledge Tv हिन्दी Education
## 649 Mythpat
## 650 Peppa Pig em Português Brasil - Canal Oficial Movies
## 651 Health Time Daily vlogs
## 652 Blockbuster Movies Daily vlogs
## 653 JesseAndMike
## 654 DeGoBooM Movies
## 655 Blossom
## 656 My Mate Nate
## 657 Mrwhosetheboss Science & Technology
## 658 GMA News News & Politics
## 659 Codiscos Music & Dance
## 660 Kids TV India Hindi Nursery Rhymes Education
## 661 Melon City Show - برنامج ولاية بطيخ
## 662 RS 1313 SHORTS
## 663 Adexe & Nau Music & Dance
## 664 The Dodo Animals & Pets
## 665 TKOR DIY & Life Hacks
## 666 Trakin Tech News & Politics
## 667 FIFA Sports
## 668 The Infographics Show Education
## 669 CaseyNeistat Daily vlogs
## 670 Compot Video games
## 671 KOYA with Toys
## 672 Piuzinho Animation
## 673 Colors Rishtey
## 674 Parafernalha
## 675 Troom Troom India
## 676 Geo News News & Politics
## 677 Sonotek Bhakti Music & Dance
## 678 E-MasterSensei Movies
## 679 elliegoulding Music & Dance
## 680 RaptorGamer Animation
## 681 Vlad and Niki PRT
## 682 LOUD
## 683 TV9 Bharatvarsh News & Politics
## 684 Talking Angela
## 685 Technology Gyan
## 686 Yudist Ardhana Movies
## 687 Troom Troom PT Toys
## 688 Gibby :) Movies
## 689 Little Baby Bum en Español Education
## 690 People Vs Food Food & Drinks
## 691 Indore Physical Academy
## 692 Future Music & Dance
## 693 HZHtube Kids Fun Animation
## 694 Just For Laughs Gags
## 695 Vogue Fashion
## 696 Jass Records Music & Dance
## 697 DisneyChannelUK Movies
## 698 WiederDude
## 699 NDTV News & Politics
## 700 Más SKabeche
## 701 Republic Bharat News & Politics
## 702 Rauw Alejandro Music & Dance
## 703 CHHOTU KI MASTI
## 704 Луномосик Video games
## 705 Bela Bagunça Movies
## 706 Wave Music Bhakti Music & Dance
## 707 웃웃TwinsFromRussia Daily vlogs
## 708 Akon Music & Dance
## 709 BanderitaX Animation
## 710 dednahype
## 711 DaniRep | +6 Vídeos Diarios De GTA 5 Online! Animation
## 712 Luli Pampín Music & Dance
## 713 Avril Lavigne Music & Dance
## 714 Troom Troom Indonesia Music & Dance
## 715 Panda Animation
## 716 Ice Cream Rolls
## 717 Yair17 Movies
## 718 123 GO! DIY & Life Hacks
## 719 Planet Earth INDIA Daily vlogs
## 720 Lulu99
## 721 YoungBoy Never Broke Again Music & Dance
## 722 Timba Vk Animation
## 723 Влад и Никита Toys
## 724 Duo Tiempo De Sol Music & Dance
## 725 infobells - Kannada Education
## 726 colinfurze Video games
## 727 Natti Natasha Music & Dance
## 728 emma chamberlain Food & Drinks
## 729 Nat and Essie Toys
## 730 Mor Haryanvi Music & Dance
## 731 El Trece News & Politics
## 732 TsMadaan Education
## 733 KaKa Kids TV - Nursery Rhymes Kids Animated Songs
## 734 CNCO Music & Dance
## 735 Koo Koo TV - Hindi
## 736 Kluna Tik
## 737 Black Eyed Peas Music & Dance
## 738 Rubius Z Movies
## 739 Hero Movies 2022 Daily vlogs
## 740 MBC مصر
## 741 EU FICO LOKO
## 742 MrGear
## 743 Tfue Animation
## 744 MC Divertida Music & Dance
## 745 First We Feast Food & Drinks
## 746 MORGENSHTERN Music & Dance
## 747 Quantum Tech HD
## 748 Heidi y Zidane Daily vlogs
## 749 Pastor Antônio Júnior Music & Dance
## 750 Free Fire India Official
## 751 P!NK Music & Dance
## 752 SBT
## 753 Маша та Ведмідь Education
## 754 Acenix Video games
## 755 GoldminesAction
## 756 FrontaL Gaming Movies
## 757 Wild 'N Out Music & Dance
## 758 Garena Free Fire LATAM
## 759 Franco Escamilla
## 760 penguinz0 Animation
## 761 Diana and Roma IND
## 762 Single Track Studio Music & Dance
## 763 Pari's Lifestyle
## 764 TWO SIDE GAMERS
## 765 bharatzkitchen HINDI
## 766 AlArabiya العربية News & Politics
## 767 الجانب المُشرق | Bright Side Arabic
## 768 Lil Wayne Music & Dance
## 769 CrazyRussianHacker Animation
## 770 Flowers Comedy
## 771 LipaoGamer Movies
## 772 Lofi Girl Music & Dance
## 773 Biper y sus Amigos Music & Dance
## 774 POCOYÓ en ESPAÑOL - Canal Oficial
## 775 Jaiden Animations
## 776 Annoying Orange Movies
## 777 BBC Earth
## 778 Kendrick Lamar Music & Dance
## 779 Morgz Video games
## 780 CarryisLive
## 781 Vy Qwaint Video games
## 782 ExpCaseros DIY & Life Hacks
## 783 The Viral Fever Movies
## 784 Flamingo Animation
## 785 ToysPlay Animation
## 786 The Film Theorists Movies
## 787 Maymo
## 788 Wassabi Movies
## 789 Star Casablanca | نجوم الدار البيضاء Music & Dance
## 790 UnspeakableReacts Video games
## 791 Taylor RS
## 792 Fortnite Movies
## 793 قناة وناسة - Wanasah TV Music & Dance
## 794 Cut Humor
## 795 Sen, Momo, Ai & Shii's Channel Daily vlogs
## 796 CaptainSparklez Video games
## 797 El Rincón De Giorgio Video games
## 798 MyLifeAsEva Humor
## 799 Zee Tamil
## 800 Inside Edition News & Politics
## 801 luzugames Animation
## 802 Nirahua Music World
## 803 BakLol Video Movies
## 804 Avocado Couple I Crazy Comics
## 805 Virgínia Fonseca Movies
## 806 Brancoala Movies
## 807 ARY News News & Politics
## 808 Ya - Alisa
## 809 Koray Zeynep Daily vlogs
## 810 Magic Five Travel
## 811 Rachit Rojha
## 812 AlJazeera Arabic قناة الجزيرة News & Politics
## 813 Gustavo Paródias
## 814 SagaHits Music & Dance
## 815 Comedy Central Movies
## 816 Genius Music & Dance
## 817 Oum Walid Education
## 818 Morphle TV Animation
## 819 SEVENGERS
## 820 Stray Kids Music & Dance
## 821 Mundo Bita Music & Dance
## 822 OGGY
## 823 LIKE! English
## 824 DemolitionRanch Video games
## 825 Kênh Thiếu Nhi - BHMEDIA Music & Dance
## 826 Chotoonz TV - Funny Cartoons for Kids
## 827 Barbie
## 828 Jessica Jane Food & Drinks
## 829 Dobre Brothers Movies
## 830 OYUNCAKOYNUYORUM
## 831 Viih Tube
## 832 Telugu Filmnagar
## 833 설기양SULGI ASMR
## 834 Zee Kids
## 835 Sanjoy Das Official
## 836 BE AMAZED Education
## 837 Games EduUu Movies
## 838 Lycoman Facts
## 839 NEXT9NEWS हर खबर आप तक News & Politics
## 840 NASA News & Politics
## 841 Painzeiro Daily vlogs
## 842 hasanjr11
## 843 HISTORY Movies
## 844 JP Plays Video games
## 845 RDC Gujarati Music & Dance
## 846 BIBO и Игрушки Animation
## 847 СТС Video games
## 848 Levinho
## 849 핑크퐁 (인기 동요・동화) Education
## 850 ExplosmEntertainment Movies
## 851 Hueva Video games
## 852 Pen Multiplex
## 853 Slogo Video games
## 854 Ryan Trahan Humor
## 855 Vox News & Politics
## 856 Peppa Pig Hindi Education
## 857 HikakinTV Music & Dance
## 858 Milena Stepanienco - MILENINHA Movies
## 859 Rathore Cassettes
## 860 Anne-Marie Music & Dance
## 861 Juanpa Zurita
## 862 Videogyan Nursery Rhymes - Kids Songs & Cartoons Animation
## 863 5-Minute Crafts LIKE
## 864 Golemcito Games Movies
## 865 Troom Troom Arabic
## 866 Wamindia Movies
## 867 THE BROWN SIBLINGS
## 868 KiKiDo Video games
## 869 Woody & Kleiny
## 870 Área Secreta Movies
## 871 Sadhguru Movies
## 872 Mussoumano Music & Dance
## 873 Caso Cerrado Animation
## 874 Experienced Mojaraba TV Health & Self Help
## 875 GIMS Music & Dance
## 876 Joe HaTTab Movies
## 877 Goldmines Housefull
## 878 Miranda Sings Movies
## 879 Red Bull Sports
## 880 ChuChuTV Hindi Education
## 881 Times Music Music & Dance
## 882 Dental Digest
## 883 DRJ Records Specials
## 884 Deji Animation
## 885 Pina Records Music & Dance
## 886 Warner Bros. Pictures Movies
## 887 Google
## 888 DuDuPopTOY Animation
## 889 Kids smile TV Movies
## 890 Entertainment with Musa
## 891 Primitive Technology DIY & Life Hacks
## 892 TikTak Draw Animation
## 893 Talent Recap Music & Dance
## 894 Airrack Video games
## 895 [햄지]Hamzy
## 896 stampylonghead Video games
## 897 Alexa Rivera Animation
## 898 Utkarsh Classes Jodhpur Education
## 899 Vlad y Nikita Show
## 900 Magnet World
## 901 Hindi Fairy Tales
## 902 Jesse Music & Dance
## 903 Family Box Video games
## 904 The Noite com Danilo Gentili Movies
## 905 Craftingeek
## 906 Pinkfong en español - Canciones Infantiles Animation
## 907 Franciny Ehlke Fashion
## 908 AdamThomasMoran Video games
## 909 GoPro Sports
## 910 Chill Nation Music & Dance
## 911 MTV Music & Dance
## 912 Toymong tv 토이몽TV
## 913 BBC News عربي News & Politics
## 914 atv Movies
## 915 Теремок ТВ Video games
## 916 Minecraft Animation
## 917 Comedy Captain
## 918 Eli Kids - Cartoons & Songs Music & Dance
## 919 Stone Music Entertainment Music & Dance
## 920 BehindwoodsTV
## 921 Rawan and Rayan
## 922 Cris Devil Gamer Movies
## 923 GeorgeNotFound Video games
## 924 GNP Music Music & Dance
## 925 Hindi Kahaniya
## 926 CS Bisht Vines
## 927 Willie Salim
## 928 Farjana Drawing Academy
## 929 Heroine Movies 2022 Daily vlogs
## 930 Tanner Fox Autos & Vehicles
## 931 Viki Show Video games
## 932 Receitas de Pai Food & Drinks
## 933 Doctor Mike Health & Self Help
## 934 Lorrayne Oliveira Animation
## 935 Oneindia Hindi | वनइंडिया हिंदी News & Politics
## 936 Sing King Music & Dance
## 937 Little Angel Bahasa Indonesia - Lagu Anak Music & Dance
## 938 Adriana Show Animation
## 939 Patty Mayo Movies
## 940 João Caetano
## 941 5-Minute Recipes
## 942 Playing with Rafael
## 943 Shemaroo Bhakti Music & Dance
## 944 TwinRoozi 쌍둥이 루지 Daily vlogs
## 945 Baby Big Mouth Kids - Sing, Dance, Explore Animation
## 946 SaraBeautyCorner - DIY, Comedy, Makeup, Nail Art DIY & Life Hacks
## 947 Tomorrowland Music & Dance
## 948 EugenBro Video games
## 949 Hi-Tech Islamic Naat Music & Dance
## 950 서은일상이야기
## 951 XO TEAM
## 952 Теремок - Песенки для детей Music & Dance
## 953 AsapSCIENCE Science & Technology
## 954 Jugnu Kids - Nursery Rhymes and Best Baby Songs Animation
## 955 The Daily Show with Trevor Noah News & Politics
## 956 SpriteDer SPD Humor
## 957 はじめしゃちょー(hajime) Music & Dance
## 958 VYRLOriginals Music & Dance
## 959 Prime Video India Movies
## 960 Heera Gold Daily vlogs
## 961 Clean Bandit Music & Dance
## 962 Survival Builder
## 963 Hindi Countdown Education
## 964 Sanam Music & Dance
## 965 Salman Noman
## 966 TopMovieClips Movies
## 967 SiaVEVO Music & Dance
## 968 Islam Populer Education
## 969 Topper Guild Animation
## 970 Anand Audio
## 971 Wylsacom Science & Technology
## 972 SONU SHARMA Education
## 973 Supercar Blondie Animation
## 974 Laurinha e Helena - Clubinho da Laura Movies
## 975 T-STUDIO
## 976 Orkun Işıtmak Animation
## 977 123 GO! Hindi
## 978 Dalas Review Science & Technology
## 979 NH Studioz
## 980 NFL Sports
## 981 ChuChuTV Español Toys
## 982 Sơn Tùng M-TP Official Music & Dance
## 983 Vie Channel - HTV2 Music & Dance
## 984 Luan Palomera
## 985 Roshan Zindagi Education
## 986 Eagle Home Entertainments
## 987 مصطفى GAME OVER
## 988 GadgetIn
## 989 RUOK
## 990 Sab Kuchh Sekho Jano News & Politics
## 991 Harpreet SDC
## 992 Fox News News & Politics
## 993 Santa Fe Klan Official Music & Dance
## 994 Boram Tube Show Daily vlogs
## 995 Diana and Roma PRT
## 996 SULE PRODUCTIONS
## 997 Dynamo Gaming
## 998 يوميات واحد عراقي | One Iraqi Diary
## 999 Classic Mr Bean
## 1000 Anupam Movie Songs Music & Dance
## 1001 Anand Audio
## 1002 Wylsacom Science & Technology
## 1003 Eagle Home Entertainments
## Followers Country X.Views..Avg.. Likes..Avg.. Comments..Avg..
## 1 229.5M India 103.8K 2.8K 158
## 2 147.2M India 0 0 0
## 3 146.6M 9.5M 48.3K 0
## 4 117M United States 68.5M 2.9M 99.9K
## 5 111.6M United States 1.4M 110.7K 7.8K
## 6 103.4M 6.3M 20.7K 0
## 7 102.4M 4.4M 21.1K 0
## 8 91.8M United States 144.9K 5.1K 207
## 9 90.5M 7M 27.4K 0
## 10 89.7M India 89.6K 2.4K 91
## 11 82.8M United States 1.8M 297.3K 4.5K
## 12 79.5M India 53.5K 673 27
## 13 77.9M India 236.2K 1.5K 57
## 14 73.9M India 45.6K 757 18
## 15 71.7M India 1.7M 398.8K 8.8K
## 16 68.8M United States 2.9M 179.6K 3.9K
## 17 66.3M Brazil 39.2K 1.7K 247
## 18 64.2M India 8.9K 80 2
## 19 62.6M India 15.2K 172 7
## 20 62.3M 350.1K 924 0
## 21 59.7M 147K 855 0
## 22 58.6M United States 7.1M 207.6K 6.7K
## 23 58.1M United States 9.2K 142 13
## 24 57.6M India 6.7K 73 2
## 25 56.1M United States 1.7M 88.5K 4.5K
## 26 56M India 20.7K 458 44
## 27 55.3M India 336.6K 2.3K 84
## 28 54.9M 60.1K 1.4K 106
## 29 54.9M India 3.2K 45 5
## 30 54.6M India 861.6K 22.2K 286
## 31 53.5M 43.5K 255 0
## 32 52.6M United States 222.6K 11.1K 790
## 33 51.2M United States 332K 5.5K 0
## 34 49.6M United States 3.5M 102.1K 1.7K
## 35 49.1M India 58.9K 3.2K 29
## 36 47.9M 191K 0 0
## 37 47.6M 187.7K 841 0
## 38 46.6M Mexico 874K 85.9K 3K
## 39 46M Mexico 8.5K 394 7
## 40 44.7M Brazil 884.9K 107K 1.7K
## 41 44.2M United States 43.1K 1.1K 77
## 42 44.1M Brazil 530.7K 54K 874
## 43 43.9M India 59.4K 1.5K 51
## 44 43.5M 84.4K 8.2K 871
## 45 43.2M 69.9K 366 0
## 46 42.7M United States 104.5K 9.9K 477
## 47 42.5M Russia 11.2M 404.5K 27.1K
## 48 42.3M India 47.4K 439 13
## 49 41.8M 94K 453 0
## 50 41.5M Philippines 1.4K 19 1
## 51 41.5M 523.7K 4.8K 0
## 52 41.5M India 23.5K 1.2K 57
## 53 40.1M 88K 175 0
## 54 39.8M Mexico 2.7M 93K 2.9K
## 55 39.7M 1.6M 9K 0
## 56 39.3M United States 207K 9.4K 829
## 57 39M Mexico 11.6M 524.3K 16.9K
## 58 38.7M India 35.7K 941 13
## 59 38.4M Brazil 419.5K 6.6K 0
## 60 38.3M United States 7.7K 229 18
## 61 38.2M Brazil 944.9K 42K 821
## 62 38.1M United States 812.5K 103.3K 8.1K
## 63 38M 1M 1.1K 0
## 64 37.7M Thailand 8.4K 116 5
## 65 37.7M 893.3K 4.2K 0
## 66 37.4M Pakistan 12K 93 4
## 67 37.3M India 14.7M 2.7M 110K
## 68 37.3M Colombia 60.9K 5.1K 97
## 69 37M 593.8K 3.9K 0
## 70 36.8M United States 199.5 4 0
## 71 36.7M France 2.3M 31.8K 0
## 72 36.5M 946.9K 2K 0
## 73 36.5M India 14.5M 105.6K 1.2K
## 74 35.7M Mexico 932.8K 76.6K 1.5K
## 75 35.6M United States 24.6M 141.7K 2.4K
## 76 35.6M India 31.1K 243 11
## 77 35.5M Thailand 4.3K 97 1
## 78 35M 304.5K 1.2K 0
## 79 34.6M India 70.6K 429 12
## 80 34.6M Pakistan 10.3K 88 1
## 81 34.5M 2.6M 13.9K 0
## 82 34.3M India 1.9K 20 2
## 83 34.3M India 8.9K 108 8
## 84 34.1M India 477K 48.8K 3K
## 85 34M United States 11.8M 1.2M 61.4K
## 86 34M United States 2.6M 164.6K 9.2K
## 87 33.7M 457.3K 1.9K 0
## 88 33.6M Mexico 223.4K 22.2K 356
## 89 33.4M India 3.8M 78K 7.6K
## 90 33.2M India 20.7K 897 33
## 91 33.1M 498.9K 1.9K 0
## 92 33M United States 336.4K 12.9K 786
## 93 33M India 9.5K 167 10
## 94 33M United States 2.7M 76.7K 4.6K
## 95 32.8M India 893.1K 9.3K 178
## 96 32.5M Thailand 96.8K 980 20
## 97 32.1M 1.8M 5.5K 0
## 98 32M United States 1.6M 139.3K 5.8K
## 99 31.9M India 178.5K 1.6K 37
## 100 31.9M India 21.9K 347 23
## 101 31.6M Mexico 33K 1.1K 37
## 102 31.4M India 205.9K 0 0
## 103 31.3M India 24.6K 282 10
## 104 31.3M India 13.7K 358 20
## 105 31.2M India 134.8K 2K 68
## 106 31M United States 359.1K 36.5K 1.1K
## 107 30.8M 1M 1.7K 0
## 108 30.8M United States 125.5K 4.7K 245
## 109 30.6M Indonesia 556.7K 24.9K 726
## 110 30.6M United States 45K 1.9K 77
## 111 30.4M United States 126.2K 2.3K 190
## 112 30.2M Brazil 274.9K 17.7K 416
## 113 30.1M Indonesia 767.7K 27.4K 1.9K
## 114 30M India 6.7M 349K 19.8K
## 115 29.9M India 78.7K 2.1K 91
## 116 29.8M United States 33.6K 1.7K 53
## 117 29.4M United States 85.8K 9.3K 119
## 118 29.3M 318.8K 1.1K 0
## 119 29.1M India 8.2M 640.4K 25.3K
## 120 29M 129.8K 1.3K 0
## 121 29M United States 18.1K 703 25
## 122 29M Colombia 3.9M 97.1K 3K
## 123 28.9M 3.4M 3.6K 0
## 124 28.8M United States 1.2M 68.4K 3.9K
## 125 28.8M Philippines 3.5K 97 1
## 126 28.8M 110.6K 0 0
## 127 28.8M United States 1.1M 7.6K 183
## 128 28.7M Colombia 45.9M 988.6K 48.2K
## 129 28.6M United States 166.8K 875 119
## 130 28.4M 527.2K 2K 0
## 131 28.3M India 6.7K 83 12
## 132 28.1M 1.5M 5.6K 0
## 133 28M United States 43.2K 817 63
## 134 28M 218.4K 1.3K 0
## 135 27.8M United States 656.9K 18.4K 1.1K
## 136 27.8M Mexico 731.5K 49.2K 1K
## 137 27.4M 335.1K 1.4K 0
## 138 27.2M Iraq 2.6M 371.8K 11.1K
## 139 27.1M India 20.1K 371 20
## 140 26.9M United States 1.1M 58.3K 1.8K
## 141 26.8M 205.5K 832 0
## 142 26.8M United States 115.1K 7.6K 657
## 143 26.6M 70.9K 288 0
## 144 26.6M Ecuador 231.9K 14.2K 235
## 145 26.3M United States 466.6K 25.1K 2.5K
## 146 26.3M 73.2K 679 0
## 147 26.2M India 1.7M 111.4K 6.9K
## 148 26.1M United States 18.5K 551 39
## 149 25.9M United States 904.2K 110.2K 3.9K
## 150 25.9M Brazil 685.9K 66K 1.2K
## 151 25.8M United States 1.2M 54.4K 1.4K
## 152 25.8M 73.6K 170 0
## 153 25.8M 25.5K 253 0
## 154 25.7M India 35.7K 2.1K 27
## 155 25.7M Mexico 840.7K 37.7K 1.7K
## 156 25.6M India 27.6K 909 28
## 157 25.4M Brazil 2.4M 51K 1.9K
## 158 25.4M United States 0 0 0
## 159 25.3M 323.5K 2.1K 0
## 160 25.3M Philippines 669.2K 9.7K 1.3K
## 161 25.3M United States 2M 101K 3.5K
## 162 25.1M United States 96.4K 1.6K 151
## 163 25.1M Indonesia 406.6K 10.8K 797
## 164 25M 318.1K 5.3K 0
## 165 24.9M United States 127.6K 10.4K 334
## 166 24.9M United States 63K 2K 235
## 167 24.7M India 4.2M 322.4K 11.1K
## 168 24.7M United States 118.3K 11.6K 458
## 169 24.7M Brazil 81K 3.6K 184
## 170 24.6M India 44.9K 464 12
## 171 24.5M Indonesia 584.2K 19.2K 502
## 172 24.4M India 9.3M 610.3K 137.7K
## 173 24.3M Indonesia 7.4K 625 24
## 174 24.3M United States 303.4K 11.5K 439
## 175 24.2M Brazil 2M 59.2K 1.3K
## 176 24.2M United States 243.5K 14.9K 834
## 177 24.1M 96.2K 569 0
## 178 24.1M United States 20.4M 773.2K 36.2K
## 179 24M Indonesia 4.4K 43 5
## 180 23.9M India 19.3K 105 3
## 181 23.9M United States 243.5K 11.9K 607
## 182 23.9M India 2.2K 47 1
## 183 23.8M United States 1M 51.9K 1.9K
## 184 23.7M Pakistan 2.7K 16 0
## 185 23.6M United States 4.3M 252.9K 11.5K
## 186 23.4M 12.8K 37 0
## 187 23.4M United States 103.8K 4K 507
## 188 23.3M 178.6K 1.6K 82
## 189 23.3M Colombia 30.8K 2K 76
## 190 23.3M Turkey 8.5K 232 44
## 191 23.3M Russia 481.5K 12.7K 896
## 192 23.2M 61.4K 672 0
## 193 23.2M Brazil 71.2K 872 0
## 194 23.1M United States 180.8K 8.9K 1K
## 195 23.1M Colombia 2.3M 152K 7.5K
## 196 23.1M 106.6K 280 0
## 197 23.1M India 24.3K 640 76
## 198 23M 552.1K 2.7K 0
## 199 23M Indonesia 396.9K 22.1K 837
## 200 23M Mexico 7.2M 294.1K 9.1K
## 201 22.9M 1.3M 987 0
## 202 22.9M United States 5.4M 408.8K 27.6K
## 203 22.8M India 58.8K 631 10
## 204 22.7M Russia 674.8K 14.5K 736
## 205 22.7M Mexico 1.8M 146.7K 5.9K
## 206 22.7M United States 243K 4.8K 126
## 207 22.7M India 491.1K 30.2K 1.8K
## 208 22.5M 612.4K 3.2K 0
## 209 22.5M Thailand 4.8K 169 3
## 210 22.3M 55K 285 0
## 211 22.3M India 8.5K 96 7
## 212 22.3M United States 20.5K 417 66
## 213 22.3M 285.2K 1.7K 0
## 214 22.3M Saudi Arabia 1.7M 17.6K 775
## 215 22.2M India 16K 829 41
## 216 22.2M India 7.7K 91 7
## 217 22.2M United States 0 0 0
## 218 22.1M India 173.5K 5.5K 184
## 219 22.1M United States 3.2M 194.5K 7.3K
## 220 22.1M United States 2.6M 99.4K 7.6K
## 221 22.1M Argentina 1.3M 82.8K 2.3K
## 222 21.9M India 26.1K 437 10
## 223 21.9M United States 1M 28.4K 1.1K
## 224 21.8M 112.7K 458 0
## 225 21.7M Mexico 6.2M 355.7K 5.3K
## 226 21.6M 1.1M 7.4K 0
## 227 21.6M 413K 1.9K 0
## 228 21.6M United States 99.5K 8.6K 528
## 229 21.5M United States 1.3M 68.5K 3.6K
## 230 21.4M 986K 3.6K 0
## 231 21.4M India 6.9K 58 3
## 232 21.3M United States 262.3K 4.1K 181
## 233 21.3M United States 608.4K 8.3K 1.1K
## 234 21.1M United States 60K 3.4K 33
## 235 20.9M India 34.6K 358 11
## 236 20.9M United States 30.7K 723 25
## 237 20.9M India 11.1K 240 7
## 238 20.9M Indonesia 862.5K 50.7K 11.5K
## 239 20.9M 23.2K 64 0
## 240 20.7M Brazil 1.4M 160.3K 3.9K
## 241 20.7M 19.3K 207 0
## 242 20.6M United States 8.2M 228.4K 3.9K
## 243 20.6M United States 287.6K 9.1K 1K
## 244 20.5M Saudi Arabia 16.8K 390 25
## 245 20.5M 443K 1.9K 0
## 246 20.5M United States 1.4M 76.8K 3.6K
## 247 20.5M United States 808.5K 80.8K 2.8K
## 248 20.4M United States 1.3M 50.7K 1.9K
## 249 20.4M 2.2M 5.3K 0
## 250 20.3M 125.2K 0 0
## 251 20.3M United States 26.9K 537 23
## 252 20.3M Mexico 12.1K 241 11
## 253 20.3M United States 1.6M 98.2K 6.9K
## 254 20.2M Philippines 3.7K 39 4
## 255 20.2M India 320.8K 20.1K 836
## 256 20.2M 67K 164 0
## 257 20.2M India 57.3K 1.4K 89
## 258 20.2M Brazil 16.7K 1.5K 176
## 259 20.1M Russia 2.1M 121.5K 3.5K
## 260 20.1M 69.4K 872 0
## 261 20.1M India 29.9K 216 12
## 262 20.1M United States 94.1K 4K 227
## 263 20.1M United States 51.9K 552 19
## 264 20M India 24.6K 122 14
## 265 20M United States 101.6K 1.2K 47
## 266 19.9M United States 69.4K 6.5K 325
## 267 19.9M United States 45.5K 2.8K 177
## 268 19.9M United States 350.5K 18.9K 959
## 269 19.9M India 62.5K 1.4K 12
## 270 19.9M United States 142.1K 8.2K 367
## 271 19.8M 399.8K 2.3K 0
## 272 19.8M Brazil 108.7K 12.3K 528
## 273 19.7M Indonesia 1.4M 30.6K 3.4K
## 274 19.7M Iraq 1M 90.9K 5K
## 275 19.7M United States 43.1K 778 28
## 276 19.7M United States 630.7K 15.4K 695
## 277 19.7M United States 4.4M 211.8K 6.3K
## 278 19.6M India 2.1M 139.7K 353
## 279 19.6M Mexico 523.7K 35.9K 794
## 280 19.5M United States 96K 3.1K 273
## 281 19.5M Brazil 6.5M 49.3K 1.4K
## 282 19.5M 787.1K 2.7K 0
## 283 19.5M Brazil 739.9K 51.3K 748
## 284 19.5M United States 39.8K 1.5K 59
## 285 19.4M Mexico 67K 1K 56
## 286 19.3M Argentina 7.6M 131.1K 17.9K
## 287 19.3M United States 354.6K 29.7K 767
## 288 19.2M United States 3.7M 95.1K 0
## 289 19.2M 45.5K 301 0
## 290 19.2M India 64.1K 1.8K 155
## 291 19.1M 262.4K 816 0
## 292 19.1M India 454.7K 38.3K 904
## 293 19.1M India 50.7K 278 8
## 294 19.1M 234.3K 1.9K 0
## 295 19.1M 10.5K 0 0
## 296 19M United Kingdom 185K 633 34
## 297 19M Pakistan 220.3K 9.2K 196
## 298 19M Mexico 812.5K 73K 325
## 299 18.9M United States 207.2K 3.3K 300
## 300 18.9M United States 844.5K 45.2K 6.7K
## 301 18.8M India 28.7K 933 111
## 302 18.7M 24.3K 137 0
## 303 18.7M United States 914.2K 39K 3.3K
## 304 18.7M Japan 411.6K 1.7K 36
## 305 18.7M 708.1K 5.4K 0
## 306 18.7M United States 101.2K 1.6K 371
## 307 18.7M Indonesia 492.6K 25.3K 1.4K
## 308 18.6M India 5.6M 469.8K 10.7K
## 309 18.6M India 1.5M 174.4K 18.6K
## 310 18.5M Spain 14.1K 921 303
## 311 18.5M Mexico 680.9K 28K 212
## 312 18.5M India 3.2M 146.2K 2.6K
## 313 18.5M United States 908.2K 71.7K 1K
## 314 18.5M Russia 924.6K 62K 2.4K
## 315 18.5M Indonesia 4.6K 115 6
## 316 18.5M 155.2K 1K 0
## 317 18.4M 207K 775 0
## 318 18.4M Brazil 35K 778 39
## 319 18.3M Indonesia 14.4K 272 23
## 320 18.3M United States 534.8K 17.2K 1.1K
## 321 18.3M United States 4.1M 86.7K 3.4K
## 322 18.3M Brazil 590.9K 31.8K 812
## 323 18.3M United States 1.2M 4.5K 377
## 324 18.2M United States 2M 177.8K 8.7K
## 325 18.2M Brazil 2.1M 87.9K 390
## 326 18.2M 15.9K 719 31
## 327 18.2M Indonesia 241.1K 8K 197
## 328 18.1M India 19.5K 216 4
## 329 18.1M 491.4K 1.3K 0
## 330 18M Indonesia 169K 9.2K 140
## 331 18M India 14.3K 244 8
## 332 18M Russia 3.9M 310.9K 8.2K
## 333 18M Thailand 7.7K 145 10
## 334 17.9M 12.4K 65 0
## 335 17.9M Russia 1.1M 41.9K 1.8K
## 336 17.9M United States 959.7K 34K 1.4K
## 337 17.9M 413.5K 2.4K 0
## 338 17.9M United States 511.2K 19.3K 3K
## 339 17.9M United States 344.7K 14.8K 642
## 340 17.8M United States 156K 2.2K 111
## 341 17.7M Spain 1.1M 80.4K 1.4K
## 342 17.7M 8.5K 52 0
## 343 17.7M Colombia 14.3K 1.4K 112
## 344 17.7M United States 76.9K 5.6K 181
## 345 17.7M 321K 2.1K 0
## 346 17.6M France 6.1M 398.7K 6.5K
## 347 17.6M India 615.1K 38.1K 1.4K
## 348 17.6M Bangladesh 7.5K 145 15
## 349 17.6M Mexico 191.2K 6.4K 116
## 350 17.6M Argentina 733.6K 53.9K 1.3K
## 351 17.6M Thailand 10.1K 396 10
## 352 17.5M Brazil 799.2K 70.5K 1K
## 353 17.5M India 563.9K 13K 173
## 354 17.5M Bangladesh 172.1K 1.7K 38
## 355 17.5M India 458.8K 6.1K 151
## 356 17.4M United States 11.9M 312.4K 26.5K
## 357 17.4M Algeria 178K 18.8K 806
## 358 17.3M Brazil 343.3K 39K 773
## 359 17.3M United States 5M 82K 4.9K
## 360 17.3M India 7.8M 665.8K 13.8K
## 361 17.3M India 62.9K 596 12
## 362 17.2M Mexico 76.2K 6.4K 101
## 363 17.2M United Kingdom 9.7M 583.7K 17.5K
## 364 17.2M India 8.2K 102 4
## 365 17.2M Mexico 3M 170.7K 6.7K
## 366 17.1M Russia 269.2K 9.1K 6.5K
## 367 17.1M Indonesia 300.4K 4.7K 265
## 368 17M Iraq 80.4K 2.5K 235
## 369 17M United States 49K 1.2K 150
## 370 17M United States 54.5K 2.9K 44
## 371 17M 9.5K 147 5
## 372 17M United States 94.8K 2K 305
## 373 16.9M Brazil 616.5K 44.3K 2.5K
## 374 16.9M Indonesia 1.8M 38.9K 1.8K
## 375 16.9M 79.9K 433 0
## 376 16.9M Thailand 325.6K 10.8K 439
## 377 16.8M 381.4K 1.4K 0
## 378 16.8M 702.6K 20K 0
## 379 16.8M Russia 1.3M 195.1K 11.8K
## 380 16.8M Mexico 75.5K 5.9K 481
## 381 16.8M India 89.4K 792 5
## 382 16.7M Mexico 191.8K 11.4K 1.4K
## 383 16.7M India 93.6K 1.1K 29
## 384 16.7M India 17.8K 1.1K 55
## 385 16.6M 869.5K 3K 0
## 386 16.6M Mexico 194.3K 14.8K 3.6K
## 387 16.6M Argentina 43.4M 2.6M 134.9K
## 388 16.6M United States 162.8K 16.5K 1.1K
## 389 16.6M Mexico 40.1K 270 7
## 390 16.5M India 2.1K 36 6
## 391 16.4M United States 1.9M 98.8K 5.3K
## 392 16.4M United States 337K 8K 1.3K
## 393 16.4M Indonesia 1.1K 15 2
## 394 16.4M Indonesia 1.2M 13.9K 241
## 395 16.4M Colombia 484.5K 30.7K 1.6K
## 396 16.4M Mexico 51.9K 3.4K 679
## 397 16.4M United States 2.6M 100K 5.3K
## 398 16.4M 73.6K 316 0
## 399 16.3M Thailand 10.3K 124 17
## 400 16.3M 785.7K 3K 0
## 401 16.3M Thailand 358.9K 26.8K 1.1K
## 402 16.2M India 2K 15 1
## 403 16.2M United States 1.5M 19.8K 1K
## 404 16.2M India 2.9M 70.9K 5.9K
## 405 16.2M United States 2.3M 164.8K 4.8K
## 406 16.2M 51.8K 258 0
## 407 16.2M Philippines 2.4M 96.2K 5.7K
## 408 16.1M Brazil 410.6K 10.5K 266
## 409 16.1M India 129.1K 1.2K 81
## 410 16M 310.9K 0 0
## 411 16M India 6.8K 114 10
## 412 16M United States 2.4M 125.9K 1.8K
## 413 16M United States 15K 817 22
## 414 16M United States 10.6K 256 34
## 415 16M 0 0 0
## 416 16M 136.9K 611 0
## 417 16M United States 35.7K 508 0
## 418 15.9M 41.5K 407 0
## 419 15.9M Turkey 2.2M 166.9K 8.3K
## 420 15.8M Russia 39.3K 1.1K 57
## 421 15.8M Brazil 171.8K 8.2K 123
## 422 15.8M India 1.8M 10K 327
## 423 15.8M United States 40.9K 760 86
## 424 15.8M Indonesia 16K 260 14
## 425 15.8M 32.4K 715 17
## 426 15.8M 280.2K 0 0
## 427 15.7M Indonesia 31.2K 1.7K 111
## 428 15.7M India 8.9K 741 26
## 429 15.7M United States 145.5K 0 0
## 430 15.7M India 7.3K 147 7
## 431 15.6M India 17.3K 123 2
## 432 15.6M United States 2.1M 207K 830
## 433 15.6M United States 108.3K 6.9K 252
## 434 15.6M United States 619.3K 27.6K 1.3K
## 435 15.6M Brazil 504.5K 53.5K 1.6K
## 436 15.5M 1.1M 6.2K 0
## 437 15.5M 0 0 0
## 438 15.5M Thailand 42.4K 801 17
## 439 15.4M India 1.2K 15 1
## 440 15.4M Thailand 7.7K 202 3
## 441 15.4M 461.2K 2.1K 0
## 442 15.4M Indonesia 2.8K 20 0
## 443 15.4M India 208K 23.9K 864
## 444 15.4M Indonesia 15.1K 121 5
## 445 15.3M United States 23.7K 444 0
## 446 15.3M United States 1.9M 149.4K 6.1K
## 447 15.3M India 133.4K 0 258
## 448 15.3M India 7.4K 164 24
## 449 15.3M Mexico 208.8K 1.6K 42
## 450 15.3M India 9.3K 190 19
## 451 15.2M Brazil 41.9K 2.6K 34
## 452 15.2M India 13K 128 5
## 453 15.2M 39.1K 0 2
## 454 15.2M United States 200.8K 1.3K 36
## 455 15.2M India 3.2K 27 1
## 456 15.2M Brazil 19.8K 1.8K 35
## 457 15.2M United States 11.4K 419 55
## 458 15.2M 65K 374 0
## 459 15.2M United States 191.1K 1.7K 0
## 460 15.2M Egypt 31.5K 244 9
## 461 15.1M Thailand 10.6K 139 20
## 462 15.1M Spain 409K 35.7K 744
## 463 15.1M United States 1.5M 60.2K 3.3K
## 464 15M Philippines 473.8K 19K 779
## 465 15M Mexico 155.7K 3.8K 183
## 466 15M Philippines 520.8K 14.9K 311
## 467 15M Russia 4.8M 408.6K 18.5K
## 468 15M Philippines 545.5K 64.9K 843
## 469 15M United States 1.4M 48.2K 3.4K
## 470 15M India 12.9K 300 50
## 471 15M India 22.4K 165 7
## 472 14.9M United States 2.1M 50.4K 3.6K
## 473 14.9M United States 2.6M 20.6K 951
## 474 14.9M 169.1K 523 0
## 475 14.9M India 2.6M 213.9K 670
## 476 14.9M Indonesia 51K 1.2K 113
## 477 14.9M United States 535.3K 18.7K 749
## 478 14.9M United States 2.8M 41.1K 3.8K
## 479 14.8M Brazil 18.9K 1.6K 21
## 480 14.8M United States 2.4M 167.2K 20.9K
## 481 14.8M United States 68.3K 1.6K 188
## 482 14.8M Indonesia 269.9K 4K 369
## 483 14.8M Indonesia 2.6M 53.7K 1.6K
## 484 14.8M 50K 128 0
## 485 14.8M 50.4K 1.3K 0
## 486 14.8M Brazil 16.6K 921 34
## 487 14.8M Mexico 65.8K 4.4K 178
## 488 14.8M Russia 3.9M 230.1K 8.6K
## 489 14.8M United States 13.3K 574 13
## 490 14.7M 281.4K 11.8K 30
## 491 14.7M United States 6.4M 164.1K 5K
## 492 14.7M 368.6K 1K 0
## 493 14.7M Brazil 7.7K 273 7
## 494 14.7M Mexico 1.2M 35.8K 405
## 495 14.7M Egypt 32.8K 1.1K 69
## 496 14.6M Brazil 11.5K 182 5
## 497 14.6M United States 82.4K 1.8K 119
## 498 14.6M India 161.8K 2.9K 48
## 499 14.6M United States 27.5K 735 0
## 500 14.6M United States 251.1K 17.2K 600
## 501 14.6M United States 43K 2.4K 71
## 502 14.6M India 3.5K 55 2
## 503 14.6M United States 33.3K 1.2K 112
## 504 14.6M United States 259.5K 3.6K 1.8K
## 505 14.6M United States 63.2K 1.4K 239
## 506 14.6M Thailand 327.6K 8.3K 315
## 507 14.6M 44.9K 6.1K 155
## 508 14.5M Mexico 15K 793 59
## 509 14.5M Philippines 2.7K 24 4
## 510 14.5M India 409.8K 30.7K 56
## 511 14.5M India 103.3K 11.1K 424
## 512 14.5M United States 4.4M 222.9K 6.5K
## 513 14.4M Egypt 2.2M 135.4K 3.5K
## 514 14.4M 43.9K 228 0
## 515 14.4M Russia 3.7K 28 0
## 516 14.4M United States 1.1M 24.8K 4.4K
## 517 14.4M United States 35.2K 3.3K 73
## 518 14.4M India 615.8K 3.5K 74
## 519 14.4M Russia 1.9M 118.9K 2.6K
## 520 14.4M 514.7K 2.9K 0
## 521 14.4M Thailand 974.5 9 0
## 522 14.4M India 54.6K 8K 106
## 523 14.3M Russia 2M 126.9K 5.3K
## 524 14.3M United States 700.7K 10.4K 283
## 525 14.2M 179.8K 2K 178
## 526 14.2M United States 103.3K 7.7K 243
## 527 14.2M Brazil 827.2K 111.5K 1.7K
## 528 14.2M India 54.2K 2.3K 108
## 529 14.2M Brazil 186.4K 17K 297
## 530 14.2M 82.2K 858 0
## 531 14.2M Mexico 401K 17.7K 1.1K
## 532 14.2M United States 40.8K 2.4K 165
## 533 14.2M United States 22.6K 1.2K 46
## 534 14.2M India 26.2K 299 8
## 535 14.2M Russia 294K 6.5K 143
## 536 14.2M Mexico 403K 22.9K 448
## 537 14.2M United States 359.1K 13.8K 89
## 538 14.2M Argentina 226.6K 3.6K 51
## 539 14.1M India 36K 225 7
## 540 14.1M Indonesia 2.3K 46 3
## 541 14.1M India 116.6K 8.4K 722
## 542 14.1M Mexico 331.3K 14.4K 920
## 543 14M Mexico 1.4M 86.2K 1.4K
## 544 14M Thailand 310.7K 11K 468
## 545 14M Brazil 228.3K 26.6K 354
## 546 14M United Kingdom 408.5K 17.5K 381
## 547 14M United States 353.8K 20.5K 491
## 548 14M United States 81.6K 5.7K 67
## 549 14M 16.3K 565 82
## 550 14M 186.5K 6.8K 771
## 551 13.9M Thailand 1.3K 17 1
## 552 13.9M United States 9.2K 84 87
## 553 13.9M 248.6K 1.5K 0
## 554 13.9M India 8.5M 275.3K 13.8K
## 555 13.9M India 662.4K 12.9K 37
## 556 13.9M India 120.4K 4.4K 140
## 557 13.9M Russia 1.9M 144.3K 5.3K
## 558 13.9M Mexico 86.5K 7.2K 223
## 559 13.8M Brazil 101.8K 9.8K 373
## 560 13.8M Saudi Arabia 110.4K 1.1K 0
## 561 13.8M Brazil 211.1K 15.9K 859
## 562 13.8M Brazil 17.8K 2.4K 70
## 563 13.8M Argentina 7.7K 346 13
## 564 13.8M 131.3K 698 0
## 565 13.7M Philippines 66K 1.7K 223
## 566 13.7M India 344 2 0
## 567 13.7M Brazil 707.2K 232K 184.8K
## 568 13.7M United States 0 0 0
## 569 13.7M Pakistan 44.7K 1.3K 74
## 570 13.7M India 11.8K 311 33
## 571 13.7M Brazil 949.5K 13K 270
## 572 13.7M Brazil 90.2K 7.7K 78
## 573 13.6M Indonesia 4.5K 44 13
## 574 13.6M 42.3K 162 0
## 575 13.6M Iraq 1.9M 132K 10.3K
## 576 13.6M Mexico 187.2K 9.1K 337
## 577 13.6M United States 4.9M 80.8K 7.8K
## 578 13.6M 30.1K 239 0
## 579 13.6M United States 2.4M 41.8K 719
## 580 13.6M United States 1.7M 41.9K 1.7K
## 581 13.5M United States 373.6K 21.5K 1.1K
## 582 13.5M 9.5K 628 28
## 583 13.5M Mexico 212.9K 1.9K 55
## 584 13.5M United States 120.2K 1.7K 891
## 585 13.5M 78.2K 238 0
## 586 13.5M India 5.1K 154 30
## 587 13.5M India 86.2K 1.3K 21
## 588 13.4M India 1.2M 25.8K 0
## 589 13.4M United States 58.3K 4K 654
## 590 13.4M United States 4.7M 118.2K 8.4K
## 591 13.4M India 17.8K 395 20
## 592 13.4M United States 1.2M 22K 4.8K
## 593 13.3M India 935.2K 25.7K 560
## 594 13.3M United States 81.4K 4.4K 237
## 595 13.3M India 518.9K 76K 2.3K
## 596 13.3M Brazil 288.4K 12.7K 443
## 597 13.3M Philippines 1.5M 80.3K 1.3K
## 598 13.3M India 13.3K 608 17
## 599 13.3M India 13.6K 783 64
## 600 13.2M United States 243.2K 7.7K 446
## 601 13.2M United States 129K 7.7K 781
## 602 13.2M Russia 602.7K 22.3K 1.5K
## 603 13.2M United States 594.1K 30.7K 1.2K
## 604 13.2M India 210.2K 4K 621
## 605 13.2M United States 46.2K 226 8
## 606 13.2M India 3.9K 68 8
## 607 13.2M United States 814.7K 25.2K 0
## 608 13.2M United States 115.5K 4.2K 165
## 609 13.1M United States 3M 53.1K 3.8K
## 610 13.1M Philippines 2.1M 64.5K 2.3K
## 611 13.1M Brazil 965.4K 55.2K 3K
## 612 13.1M Brazil 220.7K 29.1K 2.5K
## 613 13M India 9K 124 2
## 614 13M Iraq 355.5K 56K 5.2K
## 615 13M United Kingdom 27.2K 685 22
## 616 13M United States 99.7K 4.7K 96
## 617 13M United States 210.3K 11.4K 1.1K
## 618 13M 683.3K 5.8K 0
## 619 13M United States 275K 9.2K 396
## 620 13M Brazil 2K 54 2
## 621 13M Russia 2M 55.5K 2.4K
## 622 13M Brazil 508.7K 31.5K 2.3K
## 623 13M Brazil 49.2K 5.2K 33
## 624 13M 60K 0 0
## 625 13M Brazil 286.9K 42.3K 1.2K
## 626 12.9M United States 0 0 0
## 627 12.9M India 48.1K 306 0
## 628 12.9M Jordan 259.1K 1.5K 0
## 629 12.9M United States 15M 422.4K 55.1K
## 630 12.9M Bangladesh 21.6K 627 43
## 631 12.9M United States 55.9K 2.6K 59
## 632 12.9M United States 2.1M 102K 550
## 633 12.9M Mexico 552K 16.1K 1.4K
## 634 12.9M United States 112.2K 7.6K 0
## 635 12.9M India 243.9K 2K 48
## 636 12.8M Indonesia 272.2K 17.7K 2.8K
## 637 12.8M 1.2M 0 0
## 638 12.8M United States 18.9K 322 10
## 639 12.8M 17.5K 201 0
## 640 12.8M Brazil 142.1K 4.9K 52
## 641 12.8M Mexico 87K 3.4K 54
## 642 12.8M 16.8K 105 0
## 643 12.8M India 5.1K 56 0
## 644 12.8M Indonesia 14.2K 1.5K 45
## 645 12.8M 33.3K 0 0
## 646 12.7M India 152.4K 3.2K 353
## 647 12.7M India 43.8K 181 7
## 648 12.7M India 43.6K 1.6K 63
## 649 12.7M India 2.1M 187.1K 7.6K
## 650 12.7M 170.9K 1.2K 0
## 651 12.7M India 4.9K 191 8
## 652 12.7M India 29.3K 272 7
## 653 12.7M United States 173.9K 1.5K 521
## 654 12.7M Mexico 380K 12.2K 367
## 655 12.7M United States 12.7K 214 9
## 656 12.7M Thailand 1.1M 43.4K 891
## 657 12.6M United States 3.4M 152.8K 8.5K
## 658 12.6M Philippines 2.5K 27 5
## 659 12.6M 20.8K 189 9
## 660 12.6M 112.1K 604 0
## 661 12.6M Iraq 217.6K 13.7K 183
## 662 12.6M India 3.8K 50 6
## 663 12.6M Mexico 23.3K 2.4K 147
## 664 12.6M United States 256.2K 13.5K 608
## 665 12.6M United States 40.4K 1.2K 74
## 666 12.6M India 325.5K 22.7K 1.4K
## 667 12.6M United States 21.2K 1K 45
## 668 12.6M United States 307.5K 12.7K 661
## 669 12.6M United States 1.4M 87.4K 5.3K
## 670 12.6M Russia 1.2M 48.4K 2.1K
## 671 12.6M 25.8K 63 0
## 672 12.5M Brazil 155.9K 25.3K 711
## 673 12.5M India 4K 36 2
## 674 12.5M Brazil 46.1K 3.7K 34
## 675 12.5M India 171.5K 1.5K 32
## 676 12.5M Pakistan 4.8K 60 6
## 677 12.5M India 71.4K 870 49
## 678 12.5M Mexico 777.3K 38.2K 818
## 679 12.5M United States 16.9K 1.1K 49
## 680 12.5M Mexico 590.5K 32.3K 968
## 681 12.5M 524.1K 0 0
## 682 12.5M Brazil 163.6K 11.8K 205
## 683 12.5M India 2.1K 39 2
## 684 12.5M United States 34.1K 267 0
## 685 12.5M India 887.6K 56.5K 2.1K
## 686 12.5M Indonesia 226.4K 5.1K 311
## 687 12.5M Brazil 116.8K 1.6K 47
## 688 12.4M Mexico 52.1K 3.6K 307
## 689 12.4M 12.6K 42 0
## 690 12.4M United States 372.5K 15.4K 916
## 691 12.4M India 38.3K 2.6K 140
## 692 12.4M United States 1.6M 80.5K 2.5K
## 693 12.4M 75.1K 377 0
## 694 12.4M United States 33K 619 20
## 695 12.4M United States 662.4K 10.4K 234
## 696 12.4M India 146.7K 2.5K 139
## 697 12.4M 22.7K 542 0
## 698 12.3M United States 4.5M 13.2K 436
## 699 12.3M India 2.1K 17 7
## 700 12.3M Mexico 1.1M 48K 728
## 701 12.3M India 3.1K 0 5
## 702 12.3M Peru 838.7K 25.1K 1.2K
## 703 12.3M India 1.2M 11.5K 153
## 704 12.3M Russia 2.6M 49.2K 2.1K
## 705 12.3M Brazil 148.9K 4.8K 224
## 706 12.2M 5K 93 8
## 707 12.2M United States 46.9K 2.1K 9
## 708 12.2M Brazil 135K 9.8K 563
## 709 12.2M Saudi Arabia 611.6K 55.3K 2.3K
## 710 12.2M United States 35.4K 262 17
## 711 12.2M Mexico 60.3K 6.6K 26
## 712 12.2M 1.5M 4.1K 0
## 713 12.2M United States 134.9K 8.8K 459
## 714 12.2M Indonesia 101.2K 877 42
## 715 12.1M India 379.7K 36.7K 897
## 716 12.1M United States 52.9K 1.5K 103
## 717 12.1M Mexico 290.6K 23.9K 393
## 718 12.1M United States 309.3K 2.2K 76
## 719 12.1M India 776.8K 4.4K 230
## 720 12.1M Colombia 744.8K 34.2K 2.3K
## 721 12.1M United States 780.6K 37.9K 3.3K
## 722 12.1M Mexico 1.3M 40.6K 743
## 723 12M 557K 2.6K 0
## 724 12M 67.2K 388 0
## 725 12M 167.1K 711 0
## 726 12M United States 466.6K 15K 421
## 727 12M United States 24.4K 2.1K 35
## 728 12M United States 2.4M 156K 4.8K
## 729 12M United States 42.2K 1K 4
## 730 12M India 2.5M 41.2K 15.6K
## 731 11.9M 3.2K 27 6
## 732 11.9M India 11K 446 46
## 733 11.9M 1.5K 8 0
## 734 11.9M Mexico 68.4K 10.8K 808
## 735 11.9M India 131.3K 1.3K 25
## 736 11.9M United States 99.6K 1.6K 162
## 737 11.9M United States 81K 2.9K 116
## 738 11.9M Mexico 1.1M 91.9K 1.4K
## 739 11.8M India 54K 422 7
## 740 11.8M Egypt 6.9K 61 4
## 741 11.8M Brazil 8.3K 853 34
## 742 11.8M United States 8.6K 191 28
## 743 11.8M United States 116.5K 5.1K 150
## 744 11.8M 201.9K 1.5K 0
## 745 11.8M United States 122K 6K 262
## 746 11.8M Russia 1.5M 145.5K 7.2K
## 747 11.8M United States 3M 8.6K 178
## 748 11.8M 181.4K 890 0
## 749 11.8M Brazil 335.1K 61.9K 6.2K
## 750 11.8M India 44.7K 4.4K 279
## 751 11.8M United States 52.1K 5.2K 174
## 752 11.8M Brazil 2.8K 167 3
## 753 11.8M 195.7K 868 0
## 754 11.8M Mexico 987.1K 69.9K 646
## 755 11.8M 9.1K 123 0
## 756 11.8M 105.8K 7.8K 462
## 757 11.7M United States 197.6K 4.5K 186
## 758 11.7M Mexico 21.6K 1.8K 144
## 759 11.7M Mexico 203.7K 13.9K 194
## 760 11.7M United States 1.9M 92.7K 6.3K
## 761 11.7M 221.8K 853 0
## 762 11.7M India 0 0 0
## 763 11.7M India 697.6K 6.9K 202
## 764 11.7M India 407.7K 31.7K 1.5K
## 765 11.7M India 408.8K 10K 267
## 766 11.7M Algeria 1.8K 21 4
## 767 11.7M Egypt 18K 382 22
## 768 11.7M United States 104.6K 6.6K 463
## 769 11.7M United States 52.5K 1.6K 80
## 770 11.7M India 164.8K 1.7K 167
## 771 11.6M Brazil 113.6K 6.8K 116
## 772 11.6M United States 43.4K 1.9K 88
## 773 11.6M 351.7K 0 0
## 774 11.6M 122.9K 433 0
## 775 11.6M United States 3.6M 288K 13.4K
## 776 11.6M United States 143K 2.9K 556
## 777 11.6M United States 42.8K 1.8K 44
## 778 11.6M United States 8M 413.1K 15.1K
## 779 11.5M 229.7K 6.4K 1.2K
## 780 11.5M India 507.7K 53.5K 1.7K
## 781 11.5M United States 1.6M 27.1K 4.2K
## 782 11.5M Spain 36K 1.2K 79
## 783 11.5M India 1.8M 83.9K 2.7K
## 784 11.5M United States 1.4M 48K 5K
## 785 11.5M 134.2K 543 0
## 786 11.4M United States 1.2M 79.2K 4.7K
## 787 11.4M United States 89K 479 82
## 788 11.4M United States 75.7K 4.5K 132
## 789 11.4M Iraq 23.3K 1.3K 134
## 790 11.4M United States 322K 6.7K 405
## 791 11.4M United States 95.6K 611 11
## 792 11.4M United States 177K 9K 377
## 793 11.4M 1.5M 10.7K 0
## 794 11.4M United States 427.8K 12.3K 578
## 795 11.4M Japan 68.3K 938 0
## 796 11.4M United States 117K 10.6K 456
## 797 11.4M Spain 950.6K 134.4K 2.3K
## 798 11.4M United States 59K 3.1K 277
## 799 11.4M India 10K 135 1
## 800 11.4M United States 104.8K 2.2K 396
## 801 11.3M Mexico 154.7K 14.9K 505
## 802 11.3M India 271.7K 5.2K 134
## 803 11.3M India 526.1K 8.6K 609
## 804 11.3M United States 144.7K 1.2K 40
## 805 11.3M Brazil 1M 77.1K 1.6K
## 806 11.3M Brazil 384.9K 8.1K 274
## 807 11.3M Pakistan 13.4K 249 15
## 808 11.3M 1.8K 10 0
## 809 11.3M Turkey 11.5K 52 2
## 810 11.3M Russia 683.6K 28.4K 3.7K
## 811 11.3M India 1.7M 30.4K 1.5K
## 812 11.3M Morocco 8.7K 124 26
## 813 11.3M Brazil 178.7K 5.8K 129
## 814 11.3M India 17.6K 837 102
## 815 11.2M United States 24.6K 895 51
## 816 11.2M United States 23.2K 1K 136
## 817 11.2M Algeria 266K 16.8K 1.1K
## 818 11.2M 50.4K 252 0
## 819 11.2M India 0 0 0
## 820 11.2M United States 657.1K 100K 3.7K
## 821 11.2M 217.9K 1.2K 0
## 822 11.2M 212.2K 2K 0
## 823 11.2M India 0 0 0
## 824 11.2M United States 982.6K 50.1K 5.7K
## 825 11.2M United States 17.1K 52 0
## 826 11.2M 39.9K 0 0
## 827 11.1M 25.8K 213 0
## 828 11.1M Indonesia 1.8M 80.4K 3.6K
## 829 11.1M United States 365.3K 12.9K 603
## 830 11.1M 112.8K 356 0
## 831 11.1M Brazil 448.1K 20.1K 406
## 832 11.1M India 2.7K 34 1
## 833 11.1M United States 687.6K 13.4K 488
## 834 11.1M 62.3K 1.1K 0
## 835 11.1M India 11.5K 1.8K 155
## 836 11.1M United States 399.9K 9.8K 619
## 837 11.1M Brazil 1.2M 165.9K 3.9K
## 838 11.1M India 2M 0 221
## 839 11.1M India 2.9K 19 1
## 840 11.1M United States 92.6K 3.8K 0
## 841 11.1M Brazil 228.1K 10.7K 428
## 842 11.1M Indonesia 831.4K 10.4K 1.5K
## 843 11.1M United States 100.1K 2K 228
## 844 11.1M Brazil 50.9K 2.5K 104
## 845 11.1M India 10.5K 370 15
## 846 11M 50.5K 0 0
## 847 11M Russia 101.1K 1.1K 47
## 848 11M India 218.8K 15.4K 740
## 849 11M Algeria 16.8K 469 0
## 850 11M United States 131.2K 11.1K 157
## 851 11M Mexico 113.2K 4.3K 234
## 852 11M India 4.2K 27 1
## 853 11M United States 280K 10.7K 466
## 854 11M United States 9.9M 944.5K 25.1K
## 855 11M United States 297.1K 7.6K 371
## 856 11M 244.5K 1.8K 0
## 857 11M Japan 1.2M 31.8K 1.7K
## 858 11M Brazil 122.3K 1.1K 0
## 859 11M India 5K 56 5
## 860 11M India 32.7K 3.4K 71
## 861 10.9M Mexico 1M 60.3K 1.5K
## 862 10.9M 158.2K 540 0
## 863 10.9M India 6.8K 56 2
## 864 10.9M Peru 593.7K 63.8K 1.5K
## 865 10.9M Egypt 314K 3.8K 114
## 866 10.9M India 24.6K 247 4
## 867 10.9M India 2.3M 201.9K 323
## 868 10.9M Russia 2.4M 42K 2.5K
## 869 10.9M United States 26.5K 1.7K 126
## 870 10.9M Brazil 155.6K 20.8K 613
## 871 10.9M India 129.8K 5.2K 216
## 872 10.9M Brazil 1.8M 79.9K 6.1K
## 873 10.8M Mexico 405.2K 3.2K 112
## 874 10.8M United States 34.4K 890 22
## 875 10.8M France 1.2M 49.1K 2.1K
## 876 10.8M Somalia 2.7M 162.7K 5.8K
## 877 10.8M 9.1K 0 0
## 878 10.8M United States 115.8K 9.4K 573
## 879 10.8M United States 35K 2K 25
## 880 10.8M 156.3K 1K 0
## 881 10.8M India 6.6K 235 14
## 882 10.8M United States 638.1K 8.2K 482
## 883 10.8M India 32.1K 128 3
## 884 10.8M United Kingdom 1.2M 48.1K 2.5K
## 885 10.8M Peru 1.3M 41.5K 9.1K
## 886 10.8M United States 105.8K 4.3K 434
## 887 10.8M United States 28.5K 623 0
## 888 10.8M 8.6K 58 0
## 889 10.8M 105K 509 0
## 890 10.7M Pakistan 169.3K 1.2K 49
## 891 10.7M United States 1.2M 73.9K 3K
## 892 10.7M Mexico 72.7K 4.3K 321
## 893 10.7M United States 57.9K 924 64
## 894 10.7M United States 4.6M 344.6K 33.1K
## 895 10.7M United States 1.7M 31.9K 866
## 896 10.7M United States 104.3K 4.9K 1.1K
## 897 10.7M United States 2M 86.1K 3.4K
## 898 10.7M India 109K 8.5K 371
## 899 10.7M 246.3K 1K 0
## 900 10.6M United States 302.4K 1.3K 28
## 901 10.6M India 580.7K 7.8K 185
## 902 10.6M United States 106.7K 7.3K 1.1K
## 903 10.6M Russia 247.2K 7.8K 95
## 904 10.6M Brazil 4.5K 421 17
## 905 10.6M Mexico 231.3K 11.1K 1.1K
## 906 10.6M 46.7K 153 0
## 907 10.6M Brazil 208.4K 19.7K 396
## 908 10.6M Russia 488K 38.8K 2.5K
## 909 10.6M United States 35.4K 1.7K 53
## 910 10.6M United States 21.1K 680 27
## 911 10.6M United States 18.5K 992 23
## 912 10.6M 24.9K 195 0
## 913 10.6M Morocco 21.2K 389 70
## 914 10.6M Turkey 28.9K 295 10
## 915 10.6M 281.7K 1.1K 0
## 916 10.6M United States 659.8K 37.5K 1.4K
## 917 10.6M India 6K 62 2
## 918 10.6M 1M 3.2K 0
## 919 10.6M United States 5.8K 448 19
## 920 10.6M 50.1K 1.2K 51
## 921 10.5M Algeria 0 0 0
## 922 10.5M United States 260.3K 8.1K 212
## 923 10.5M United States 1.7M 137.6K 6.6K
## 924 10.5M Indonesia 40.5K 187 0
## 925 10.5M India 42.5K 629 26
## 926 10.5M India 2M 19.3K 426
## 927 10.5M Indonesia 1M 18.3K 3.4K
## 928 10.5M India 71K 2.1K 373
## 929 10.5M India 136.7K 820 9
## 930 10.5M 397.5K 18.2K 1.4K
## 931 10.5M Russia 1.9M 58K 2.5K
## 932 10.5M Brazil 80K 10.7K 311
## 933 10.5M United States 1.8M 65.4K 2.9K
## 934 10.5M Brazil 454.2K 20.8K 673
## 935 10.5M India 1.5K 17 1
## 936 10.5M United States 10.4K 104 9
## 937 10.5M 248.4K 1.3K 0
## 938 10.4M 298.2K 0 0
## 939 10.4M United States 512.8K 13.9K 674
## 940 10.4M Brazil 626.3K 45.6K 966
## 941 10.4M India 44K 331 7
## 942 10.4M Brazil 10.9K 52 0
## 943 10.4M India 7.1K 164 11
## 944 10.4M Indonesia 74.6K 0 0
## 945 10.4M 528 4 0
## 946 10.4M United States 36.2K 2.8K 93
## 947 10.4M Brazil 47.6K 1.7K 82
## 948 10.4M Russia 258K 15.1K 1.9K
## 949 10.4M Pakistan 95.1K 1.1K 77
## 950 10.4M 17.6K 107 0
## 951 10.4M United States 617.9K 38.6K 264
## 952 10.4M Russia 98.7K 499 0
## 953 10.4M United States 149K 6.8K 338
## 954 10.4M 161.2K 1.3K 0
## 955 10.4M United States 185.9K 7K 402
## 956 10.4M Thailand 4.3M 152.9K 5.6K
## 957 10.4M Japan 592.2K 18.5K 1.1K
## 958 10.4M India 7.3M 34K 3.3K
## 959 10.4M India 77.3K 387 25
## 960 10.3M Pakistan 18.9K 791 94
## 961 10.3M United States 76.5K 3.5K 147
## 962 10.3M United States 49.9K 1.5K 112
## 963 10.3M India 1.8M 35.8K 811
## 964 10.3M India 58.7K 6.3K 293
## 965 10.3M India 0 0 0
## 966 10.3M United States 124.5K 2.1K 140
## 967 10.3M United States 58.4K 3.7K 405
## 968 10.3M Indonesia 25.9K 854 63
## 969 10.3M United States 288.9K 5.9K 680
## 970 10.3M India 175.5K 2.2K 109
## 971 10.3M Russia 291.7K 13K 950
## 972 10.3M India 483.2K 28.7K 1K
## 973 10.3M United States 232.7K 6.8K 654
## 974 10.3M Brazil 83.5K 1.4K 0
## 975 10.3M Indonesia 8.1K 1K 0
## 976 10.3M Turkey 2.1M 83.7K 2.7K
## 977 10.2M India 234.1K 1.7K 20
## 978 10.2M Mexico 305.7K 30.9K 4.6K
## 979 10.2M India 10.6K 71 2
## 980 10.2M United States 24.5K 635 78
## 981 10.2M 51.4K 358 0
## 982 10.2M United States 100.9K 7.7K 108
## 983 10.2M United States 40.2K 475 58
## 984 10.2M Mexico 118.5K 7.1K 369
## 985 10.2M India 21.2K 652 15
## 986 10.2M India 724 3 0
## 987 10.1M Iraq 564.4K 64.5K 2.7K
## 988 10.1M Indonesia 1.2M 28.2K 3.5K
## 989 10.1M Brazil 215.4K 25.2K 1.3K
## 990 10.1M India 11.8K 1.2K 72
## 991 10.1M India 36.1K 1.3K 49
## 992 10.1M United States 98.4K 4K 884
## 993 10.1M Mexico 0 0 0
## 994 10.1M 14.8K 95 0
## 995 10.1M 403.6K 1.3K 0
## 996 10.1M Indonesia 101.5K 2.5K 292
## 997 10.1M India 112.4K 17.8K 677
## 998 10.1M Iraq 2.9M 245.5K 17.2K
## 999 10.1M India 48.3K 624 23
## 1000 10.1M Bangladesh 41.2K 315 18
## 1001 10.3M India 175.5K 2.2K 109
## 1002 10.3M Russia 291.7K 13K 950
## 1003 10.2M India 724 3 0
## Category.2
## 1
## 2
## 3
## 4 Humor
## 5
## 6 Toys
## 7
## 8
## 9 Toys
## 10
## 11
## 12
## 13
## 14 Animation
## 15
## 16
## 17
## 18
## 19
## 20 Toys
## 21
## 22
## 23 Animation
## 24
## 25
## 26
## 27
## 28
## 29
## 30
## 31
## 32
## 33
## 34
## 35 Movies
## 36
## 37
## 38 Animation
## 39
## 40
## 41
## 42
## 43
## 44
## 45
## 46 Movies
## 47 Humor
## 48
## 49 Toys
## 50
## 51 Animation
## 52
## 53 Toys
## 54
## 55
## 56
## 57
## 58
## 59 Animation
## 60
## 61
## 62
## 63 Toys
## 64
## 65 Toys
## 66
## 67 Humor
## 68
## 69
## 70
## 71
## 72
## 73
## 74 Animation
## 75
## 76
## 77
## 78
## 79
## 80
## 81
## 82
## 83
## 84
## 85
## 86 Video games
## 87 Toys
## 88
## 89
## 90
## 91 Animation
## 92
## 93
## 94
## 95
## 96
## 97 Humor
## 98
## 99
## 100
## 101
## 102 Animation
## 103
## 104
## 105
## 106
## 107 Toys
## 108 Movies
## 109 Movies
## 110
## 111 Humor
## 112 Humor
## 113 Movies
## 114
## 115
## 116
## 117
## 118
## 119
## 120 Humor
## 121
## 122
## 123
## 124
## 125
## 126
## 127
## 128
## 129
## 130
## 131
## 132
## 133 Humor
## 134
## 135 Humor
## 136
## 137
## 138 Video games
## 139
## 140
## 141
## 142
## 143
## 144
## 145
## 146 Animation
## 147
## 148
## 149
## 150 Animation
## 151 Video games
## 152 Toys
## 153
## 154
## 155 Movies
## 156
## 157
## 158
## 159
## 160
## 161
## 162 Animation
## 163 Animation
## 164
## 165 Humor
## 166
## 167
## 168
## 169
## 170
## 171 Humor
## 172
## 173
## 174 Health & Self Help
## 175
## 176
## 177
## 178
## 179
## 180
## 181 Video games
## 182
## 183 Fashion
## 184
## 185 Humor
## 186
## 187
## 188 Toys
## 189 Movies
## 190
## 191
## 192 Animation
## 193
## 194
## 195 Animation
## 196
## 197
## 198
## 199 Video games
## 200
## 201
## 202
## 203
## 204
## 205
## 206 Movies
## 207
## 208
## 209
## 210 Toys
## 211
## 212
## 213
## 214
## 215
## 216
## 217
## 218 Animation
## 219 Humor
## 220 Humor
## 221
## 222
## 223 Video games
## 224 Animation
## 225
## 226
## 227
## 228
## 229
## 230 Toys
## 231
## 232
## 233 Video games
## 234
## 235
## 236
## 237 Humor
## 238 Movies
## 239
## 240
## 241
## 242
## 243
## 244
## 245
## 246
## 247 Video games
## 248
## 249 Toys
## 250
## 251
## 252
## 253 Video games
## 254
## 255
## 256 Toys
## 257
## 258 Video games
## 259
## 260
## 261
## 262
## 263
## 264
## 265 Humor
## 266
## 267 Animation
## 268
## 269
## 270 Animation
## 271
## 272
## 273
## 274 Humor
## 275
## 276 Humor
## 277
## 278
## 279 Video games
## 280 Health & Self Help
## 281
## 282 Toys
## 283 Video games
## 284
## 285
## 286
## 287 Animation
## 288
## 289
## 290
## 291 Humor
## 292
## 293
## 294
## 295 Education
## 296 Movies
## 297
## 298
## 299
## 300
## 301 Animation
## 302
## 303
## 304
## 305 Animation
## 306
## 307
## 308
## 309
## 310
## 311 Video games
## 312
## 313 Animation
## 314
## 315
## 316
## 317 Movies
## 318 Animation
## 319 Movies
## 320 Animation
## 321
## 322
## 323
## 324
## 325
## 326
## 327 Humor
## 328
## 329
## 330 Movies
## 331
## 332 Video games
## 333
## 334
## 335 DIY & Life Hacks
## 336
## 337
## 338
## 339
## 340
## 341 Video games
## 342
## 343
## 344
## 345
## 346
## 347
## 348
## 349
## 350 Animation
## 351
## 352 Animation
## 353
## 354
## 355
## 356 Humor
## 357
## 358
## 359
## 360
## 361
## 362
## 363 Humor
## 364
## 365
## 366
## 367
## 368
## 369
## 370
## 371
## 372
## 373
## 374
## 375
## 376 Video games
## 377
## 378 Animation
## 379 Humor
## 380
## 381
## 382
## 383
## 384
## 385 Toys
## 386 Animation
## 387 Movies
## 388 Movies
## 389
## 390
## 391
## 392
## 393
## 394
## 395
## 396
## 397
## 398 Toys
## 399
## 400 Toys
## 401 Humor
## 402
## 403 Humor
## 404 Humor
## 405
## 406
## 407
## 408
## 409
## 410
## 411
## 412
## 413
## 414
## 415 Movies
## 416
## 417
## 418
## 419 Humor
## 420
## 421
## 422
## 423 Animation
## 424 Movies
## 425
## 426 Movies
## 427 Animation
## 428
## 429
## 430
## 431
## 432
## 433
## 434 Humor
## 435
## 436
## 437
## 438 Movies
## 439
## 440
## 441
## 442
## 443
## 444
## 445
## 446
## 447
## 448
## 449
## 450
## 451
## 452
## 453
## 454
## 455
## 456
## 457
## 458 Toys
## 459 Humor
## 460
## 461
## 462 Animation
## 463
## 464 Humor
## 465
## 466
## 467
## 468 Movies
## 469 Animation
## 470 Movies
## 471
## 472 Video games
## 473 Humor
## 474
## 475
## 476
## 477
## 478 Humor
## 479
## 480 Animation
## 481 Video games
## 482 Animation
## 483 Movies
## 484 Toys
## 485
## 486
## 487
## 488
## 489 Movies
## 490
## 491 Humor
## 492 Education
## 493 Animation
## 494
## 495
## 496
## 497
## 498
## 499 Movies
## 500 Humor
## 501 Humor
## 502
## 503
## 504 Animation
## 505
## 506
## 507
## 508 Animation
## 509
## 510
## 511
## 512
## 513
## 514
## 515
## 516 Humor
## 517
## 518
## 519
## 520
## 521
## 522
## 523
## 524
## 525 Toys
## 526
## 527 Humor
## 528
## 529 Humor
## 530
## 531 Animation
## 532
## 533
## 534
## 535 Video games
## 536
## 537
## 538
## 539
## 540
## 541
## 542
## 543
## 544
## 545
## 546
## 547 Beauty
## 548
## 549
## 550 Humor
## 551
## 552
## 553
## 554
## 555
## 556
## 557
## 558 Video games
## 559 Toys
## 560
## 561 Animation
## 562 Animation
## 563
## 564
## 565
## 566
## 567
## 568
## 569 Movies
## 570
## 571
## 572
## 573
## 574
## 575
## 576
## 577 Humor
## 578
## 579 Humor
## 580 Video games
## 581 Movies
## 582
## 583
## 584
## 585
## 586
## 587
## 588 Humor
## 589
## 590 Humor
## 591 Animation
## 592
## 593 Humor
## 594 Video games
## 595
## 596 Humor
## 597
## 598
## 599 News & Politics
## 600
## 601
## 602
## 603
## 604
## 605
## 606
## 607 Humor
## 608 Humor
## 609 Humor
## 610 Humor
## 611 Video games
## 612 Animation
## 613
## 614
## 615
## 616 Movies
## 617 Health & Self Help
## 618
## 619
## 620
## 621
## 622
## 623 Animation
## 624
## 625 Animation
## 626
## 627
## 628
## 629
## 630
## 631
## 632
## 633
## 634
## 635
## 636 Animation
## 637
## 638
## 639
## 640 Animation
## 641
## 642 Humor
## 643
## 644
## 645
## 646
## 647
## 648
## 649
## 650 Animation
## 651
## 652
## 653
## 654 Animation
## 655
## 656
## 657
## 658
## 659
## 660
## 661
## 662
## 663
## 664
## 665
## 666
## 667
## 668
## 669
## 670
## 671 Education
## 672 Humor
## 673
## 674
## 675
## 676
## 677
## 678 Video games
## 679
## 680 Video games
## 681
## 682
## 683
## 684
## 685
## 686
## 687
## 688
## 689
## 690
## 691
## 692
## 693 Toys
## 694
## 695
## 696
## 697 Humor
## 698
## 699
## 700
## 701
## 702
## 703
## 704
## 705 Animation
## 706
## 707
## 708
## 709 Video games
## 710
## 711 Video games
## 712 Animation
## 713
## 714 Movies
## 715 Toys
## 716
## 717 Animation
## 718
## 719
## 720
## 721
## 722 Video games
## 723
## 724 Animation
## 725
## 726
## 727
## 728
## 729
## 730
## 731
## 732
## 733
## 734
## 735
## 736
## 737
## 738 Animation
## 739
## 740
## 741
## 742
## 743 Video games
## 744 Movies
## 745
## 746 Movies
## 747
## 748
## 749
## 750
## 751
## 752
## 753
## 754
## 755
## 756 Animation
## 757 Humor
## 758
## 759
## 760 Video games
## 761
## 762
## 763
## 764
## 765
## 766
## 767
## 768
## 769 Toys
## 770
## 771 Animation
## 772
## 773 Movies
## 774
## 775
## 776 Animation
## 777
## 778
## 779 Humor
## 780
## 781 Humor
## 782 Food & Drinks
## 783 Humor
## 784 Video games
## 785 Toys
## 786
## 787
## 788 Humor
## 789
## 790
## 791
## 792 Video games
## 793
## 794
## 795
## 796
## 797
## 798
## 799
## 800
## 801 Video games
## 802
## 803 Humor
## 804
## 805 Humor
## 806 Animation
## 807
## 808
## 809
## 810
## 811
## 812
## 813
## 814
## 815 Humor
## 816 Movies
## 817
## 818 Toys
## 819
## 820 Movies
## 821 Movies
## 822
## 823
## 824
## 825 Animation
## 826
## 827
## 828
## 829 Humor
## 830
## 831
## 832
## 833 Food & Drinks
## 834
## 835
## 836
## 837 Toys
## 838
## 839
## 840 Science & Technology
## 841
## 842
## 843
## 844
## 845
## 846 Toys
## 847 Humor
## 848
## 849
## 850 Animation
## 851
## 852
## 853
## 854
## 855
## 856
## 857 Humor
## 858 Animation
## 859
## 860
## 861
## 862
## 863
## 864 Animation
## 865
## 866
## 867
## 868 Humor
## 869
## 870
## 871
## 872 Animation
## 873
## 874 Food & Drinks
## 875
## 876
## 877
## 878 Humor
## 879
## 880
## 881
## 882
## 883
## 884 Humor
## 885
## 886 Animation
## 887
## 888 Humor
## 889 Toys
## 890
## 891
## 892
## 893 Movies
## 894 Humor
## 895
## 896
## 897 Humor
## 898
## 899
## 900
## 901
## 902 Humor
## 903
## 904 Humor
## 905
## 906 Toys
## 907 Design/art
## 908 Humor
## 909
## 910
## 911 Movies
## 912
## 913
## 914 Animation
## 915
## 916 Video games
## 917
## 918
## 919 Movies
## 920
## 921
## 922 Animation
## 923
## 924 Animation
## 925
## 926
## 927
## 928
## 929
## 930 Humor
## 931 Toys
## 932
## 933
## 934 Humor
## 935
## 936
## 937 Toys
## 938 Toys
## 939 Humor
## 940
## 941
## 942
## 943
## 944
## 945 Toys
## 946
## 947
## 948
## 949
## 950
## 951
## 952
## 953
## 954
## 955
## 956
## 957 Humor
## 958
## 959 Animation
## 960
## 961
## 962
## 963
## 964 Movies
## 965
## 966 Animation
## 967
## 968
## 969 Humor
## 970
## 971 News & Politics
## 972
## 973
## 974 Animation
## 975
## 976
## 977
## 978
## 979
## 980
## 981
## 982 Animation
## 983
## 984
## 985
## 986
## 987
## 988
## 989
## 990
## 991
## 992
## 993
## 994
## 995
## 996
## 997
## 998
## 999
## 1000
## 1001
## 1002 News & Politics
## 1003
is.data.frame(bo)
## [1] TRUE
length(bo)
## [1] 10
names(bo)
## [1] "s.no" "Youtube.channel" "youtuber.name" "Category"
## [5] "Followers" "Country" "X.Views..Avg.." "Likes..Avg.."
## [9] "Comments..Avg.." "Category.2"
dim(bo)
## [1] 1003 10
library(skimr)
skim(bo)
| Name | bo |
| Number of rows | 1003 |
| Number of columns | 10 |
| _______________________ | |
| Column type frequency: | |
| character | 9 |
| numeric | 1 |
| ________________________ | |
| Group variables | None |
Variable type: character
| skim_variable | n_missing | complete_rate | min | max | empty | n_unique | whitespace |
|---|---|---|---|---|---|---|---|
| Youtube.channel | 0 | 1 | 2 | 50 | 0 | 999 | 0 |
| youtuber.name | 0 | 1 | 2 | 50 | 0 | 999 | 0 |
| Category | 0 | 1 | 0 | 20 | 297 | 23 | 0 |
| Followers | 0 | 1 | 3 | 6 | 0 | 271 | 0 |
| Country | 0 | 1 | 0 | 14 | 177 | 27 | 0 |
| X.Views..Avg.. | 0 | 1 | 1 | 6 | 0 | 760 | 0 |
| Likes..Avg.. | 0 | 1 | 1 | 6 | 0 | 624 | 0 |
| Comments..Avg.. | 0 | 1 | 1 | 6 | 0 | 398 | 0 |
| Category.2 | 0 | 1 | 0 | 20 | 731 | 15 | 0 |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| s.no | 0 | 1 | 501.92 | 289.55 | 1 | 251.5 | 502 | 752.5 | 1000 | ▇▇▇▇▇ |
head(bo,10)
## s.no Youtube.channel youtuber.name Category Followers
## 1 1 tseries T-Series Music & Dance 229.5M
## 2 2 setindia SET India 147.2M
## 3 3 checkgate Cocomelon - Nursery Rhymes Education 146.6M
## 4 4 MrBeast MrBeast Video games 117M
## 5 5 PewDiePie PewDiePie Animation 111.6M
## 6 6 ✿ Kids Diana Show ✿ Kids Diana Show Animation 103.4M
## 7 7 Like Nastya Like Nastya Toys 102.4M
## 8 8 WWEFanNation WWE Video games 91.8M
## 9 9 Vlad and Niki Vlad and Niki Animation 90.5M
## 10 10 zeemusiccompany Zee Music Company Music & Dance 89.7M
## Country X.Views..Avg.. Likes..Avg.. Comments..Avg.. Category.2
## 1 India 103.8K 2.8K 158
## 2 India 0 0 0
## 3 9.5M 48.3K 0
## 4 United States 68.5M 2.9M 99.9K Humor
## 5 United States 1.4M 110.7K 7.8K
## 6 6.3M 20.7K 0 Toys
## 7 4.4M 21.1K 0
## 8 United States 144.9K 5.1K 207
## 9 7M 27.4K 0 Toys
## 10 India 89.6K 2.4K 91
tail(bo,10)
## s.no Youtube.channel youtuber.name
## 994 994 Boram Tube Show Boram Tube Show
## 995 995 Diana and Roma PRT Diana and Roma PRT
## 996 996 SULE PRODUCTIONS SULE PRODUCTIONS
## 997 997 Dynamo Gaming Dynamo Gaming
## 998 998 one_Iraqi_Diary يوميات واحد عراقي | One Iraqi Diary
## 999 999 ClassicMrBean Classic Mr Bean
## 1000 1000 Anupam Movie Songs Anupam Movie Songs
## 1001 970 AnandAudio Anand Audio
## 1002 971 Wylsacom Wylsacom
## 1003 986 Eagle Home Entertainments Eagle Home Entertainments
## Category Followers Country X.Views..Avg.. Likes..Avg..
## 994 Daily vlogs 10.1M 14.8K 95
## 995 10.1M 403.6K 1.3K
## 996 10.1M Indonesia 101.5K 2.5K
## 997 10.1M India 112.4K 17.8K
## 998 10.1M Iraq 2.9M 245.5K
## 999 10.1M India 48.3K 624
## 1000 Music & Dance 10.1M Bangladesh 41.2K 315
## 1001 10.3M India 175.5K 2.2K
## 1002 Science & Technology 10.3M Russia 291.7K 13K
## 1003 10.2M India 724 3
## Comments..Avg.. Category.2
## 994 0
## 995 0
## 996 292
## 997 677
## 998 17.2K
## 999 23
## 1000 18
## 1001 109
## 1002 950 News & Politics
## 1003 0
is.na(bo)
## s.no Youtube.channel youtuber.name Category Followers Country
## [1,] FALSE FALSE FALSE FALSE FALSE FALSE
## [2,] FALSE FALSE FALSE FALSE FALSE FALSE
## [3,] FALSE FALSE FALSE FALSE FALSE FALSE
## [4,] FALSE FALSE FALSE FALSE FALSE FALSE
## [5,] FALSE FALSE FALSE FALSE FALSE FALSE
## [6,] FALSE FALSE FALSE FALSE FALSE FALSE
## [7,] FALSE FALSE FALSE FALSE FALSE FALSE
## [8,] FALSE FALSE FALSE FALSE FALSE FALSE
## [9,] FALSE FALSE FALSE FALSE FALSE FALSE
## [10,] FALSE FALSE FALSE FALSE FALSE FALSE
## [11,] FALSE FALSE FALSE FALSE FALSE FALSE
## [12,] FALSE FALSE FALSE FALSE FALSE FALSE
## [13,] FALSE FALSE FALSE FALSE FALSE FALSE
## [14,] FALSE FALSE FALSE FALSE FALSE FALSE
## [15,] FALSE FALSE FALSE FALSE FALSE FALSE
## [16,] FALSE FALSE FALSE FALSE FALSE FALSE
## [17,] FALSE FALSE FALSE FALSE FALSE FALSE
## [18,] FALSE FALSE FALSE FALSE FALSE FALSE
## [19,] FALSE FALSE FALSE FALSE FALSE FALSE
## [20,] FALSE FALSE FALSE FALSE FALSE FALSE
## [21,] FALSE FALSE FALSE FALSE FALSE FALSE
## [22,] FALSE FALSE FALSE FALSE FALSE FALSE
## [23,] FALSE FALSE FALSE FALSE FALSE FALSE
## [24,] FALSE FALSE FALSE FALSE FALSE FALSE
## [25,] FALSE FALSE FALSE FALSE FALSE FALSE
## [26,] FALSE FALSE FALSE FALSE FALSE FALSE
## [27,] FALSE FALSE FALSE FALSE FALSE FALSE
## [28,] FALSE FALSE FALSE FALSE FALSE FALSE
## [29,] FALSE FALSE FALSE FALSE FALSE FALSE
## [30,] FALSE FALSE FALSE FALSE FALSE FALSE
## [31,] FALSE FALSE FALSE FALSE FALSE FALSE
## [32,] FALSE FALSE FALSE FALSE FALSE FALSE
## [33,] FALSE FALSE FALSE FALSE FALSE FALSE
## [34,] FALSE FALSE FALSE FALSE FALSE FALSE
## [35,] FALSE FALSE FALSE FALSE FALSE FALSE
## [36,] FALSE FALSE FALSE FALSE FALSE FALSE
## [37,] FALSE FALSE FALSE FALSE FALSE FALSE
## [38,] FALSE FALSE FALSE FALSE FALSE FALSE
## [39,] FALSE FALSE FALSE FALSE FALSE FALSE
## [40,] FALSE FALSE FALSE FALSE FALSE FALSE
## [41,] FALSE FALSE FALSE FALSE FALSE FALSE
## [42,] FALSE FALSE FALSE FALSE FALSE FALSE
## [43,] FALSE FALSE FALSE FALSE FALSE FALSE
## [44,] FALSE FALSE FALSE FALSE FALSE FALSE
## [45,] FALSE FALSE FALSE FALSE FALSE FALSE
## [46,] FALSE FALSE FALSE FALSE FALSE FALSE
## [47,] FALSE FALSE FALSE FALSE FALSE FALSE
## [48,] FALSE FALSE FALSE FALSE FALSE FALSE
## [49,] FALSE FALSE FALSE FALSE FALSE FALSE
## [50,] FALSE FALSE FALSE FALSE FALSE FALSE
## [51,] FALSE FALSE FALSE FALSE FALSE FALSE
## [52,] FALSE FALSE FALSE FALSE FALSE FALSE
## [53,] FALSE FALSE FALSE FALSE FALSE FALSE
## [54,] FALSE FALSE FALSE FALSE FALSE FALSE
## [55,] FALSE FALSE FALSE FALSE FALSE FALSE
## [56,] FALSE FALSE FALSE FALSE FALSE FALSE
## [57,] FALSE FALSE FALSE FALSE FALSE FALSE
## [58,] FALSE FALSE FALSE FALSE FALSE FALSE
## [59,] FALSE FALSE FALSE FALSE FALSE FALSE
## [60,] FALSE FALSE FALSE FALSE FALSE FALSE
## [61,] FALSE FALSE FALSE FALSE FALSE FALSE
## [62,] FALSE FALSE FALSE FALSE FALSE FALSE
## [63,] FALSE FALSE FALSE FALSE FALSE FALSE
## [64,] FALSE FALSE FALSE FALSE FALSE FALSE
## [65,] FALSE FALSE FALSE FALSE FALSE FALSE
## [66,] FALSE FALSE FALSE FALSE FALSE FALSE
## [67,] FALSE FALSE FALSE FALSE FALSE FALSE
## [68,] FALSE FALSE FALSE FALSE FALSE FALSE
## [69,] FALSE FALSE FALSE FALSE FALSE FALSE
## [70,] FALSE FALSE FALSE FALSE FALSE FALSE
## [71,] FALSE FALSE FALSE FALSE FALSE FALSE
## [72,] FALSE FALSE FALSE FALSE FALSE FALSE
## [73,] FALSE FALSE FALSE FALSE FALSE FALSE
## [74,] FALSE FALSE FALSE FALSE FALSE FALSE
## [75,] FALSE FALSE FALSE FALSE FALSE FALSE
## [76,] FALSE FALSE FALSE FALSE FALSE FALSE
## [77,] FALSE FALSE FALSE FALSE FALSE FALSE
## [78,] FALSE FALSE FALSE FALSE FALSE FALSE
## [79,] FALSE FALSE FALSE FALSE FALSE FALSE
## [80,] FALSE FALSE FALSE FALSE FALSE FALSE
## [81,] FALSE FALSE FALSE FALSE FALSE FALSE
## [82,] FALSE FALSE FALSE FALSE FALSE FALSE
## [83,] FALSE FALSE FALSE FALSE FALSE FALSE
## [84,] FALSE FALSE FALSE FALSE FALSE FALSE
## [85,] FALSE FALSE FALSE FALSE FALSE FALSE
## [86,] FALSE FALSE FALSE FALSE FALSE FALSE
## [87,] FALSE FALSE FALSE FALSE FALSE FALSE
## [88,] FALSE FALSE FALSE FALSE FALSE FALSE
## [89,] FALSE FALSE FALSE FALSE FALSE FALSE
## [90,] FALSE FALSE FALSE FALSE FALSE FALSE
## [91,] FALSE FALSE FALSE FALSE FALSE FALSE
## [92,] FALSE FALSE FALSE FALSE FALSE FALSE
## [93,] FALSE FALSE FALSE FALSE FALSE FALSE
## [94,] FALSE FALSE FALSE FALSE FALSE FALSE
## [95,] FALSE FALSE FALSE FALSE FALSE FALSE
## [96,] FALSE FALSE FALSE FALSE FALSE FALSE
## [97,] FALSE FALSE FALSE FALSE FALSE FALSE
## [98,] FALSE FALSE FALSE FALSE FALSE FALSE
## [99,] FALSE FALSE FALSE FALSE FALSE FALSE
## [100,] FALSE FALSE FALSE FALSE FALSE FALSE
## [101,] FALSE FALSE FALSE FALSE FALSE FALSE
## [102,] FALSE FALSE FALSE FALSE FALSE FALSE
## [103,] FALSE FALSE FALSE FALSE FALSE FALSE
## [104,] FALSE FALSE FALSE FALSE FALSE FALSE
## [105,] FALSE FALSE FALSE FALSE FALSE FALSE
## [106,] FALSE FALSE FALSE FALSE FALSE FALSE
## [107,] FALSE FALSE FALSE FALSE FALSE FALSE
## [108,] FALSE FALSE FALSE FALSE FALSE FALSE
## [109,] FALSE FALSE FALSE FALSE FALSE FALSE
## [110,] FALSE FALSE FALSE FALSE FALSE FALSE
## [111,] FALSE FALSE FALSE FALSE FALSE FALSE
## [112,] FALSE FALSE FALSE FALSE FALSE FALSE
## [113,] FALSE FALSE FALSE FALSE FALSE FALSE
## [114,] FALSE FALSE FALSE FALSE FALSE FALSE
## [115,] FALSE FALSE FALSE FALSE FALSE FALSE
## [116,] FALSE FALSE FALSE FALSE FALSE FALSE
## [117,] FALSE FALSE FALSE FALSE FALSE FALSE
## [118,] FALSE FALSE FALSE FALSE FALSE FALSE
## [119,] FALSE FALSE FALSE FALSE FALSE FALSE
## [120,] FALSE FALSE FALSE FALSE FALSE FALSE
## [121,] FALSE FALSE FALSE FALSE FALSE FALSE
## [122,] FALSE FALSE FALSE FALSE FALSE FALSE
## [123,] FALSE FALSE FALSE FALSE FALSE FALSE
## [124,] FALSE FALSE FALSE FALSE FALSE FALSE
## [125,] FALSE FALSE FALSE FALSE FALSE FALSE
## [126,] FALSE FALSE FALSE FALSE FALSE FALSE
## [127,] FALSE FALSE FALSE FALSE FALSE FALSE
## [128,] FALSE FALSE FALSE FALSE FALSE FALSE
## [129,] FALSE FALSE FALSE FALSE FALSE FALSE
## [130,] FALSE FALSE FALSE FALSE FALSE FALSE
## [131,] FALSE FALSE FALSE FALSE FALSE FALSE
## [132,] FALSE FALSE FALSE FALSE FALSE FALSE
## [133,] FALSE FALSE FALSE FALSE FALSE FALSE
## [134,] FALSE FALSE FALSE FALSE FALSE FALSE
## [135,] FALSE FALSE FALSE FALSE FALSE FALSE
## [136,] FALSE FALSE FALSE FALSE FALSE FALSE
## [137,] FALSE FALSE FALSE FALSE FALSE FALSE
## [138,] FALSE FALSE FALSE FALSE FALSE FALSE
## [139,] FALSE FALSE FALSE FALSE FALSE FALSE
## [140,] FALSE FALSE FALSE FALSE FALSE FALSE
## [141,] FALSE FALSE FALSE FALSE FALSE FALSE
## [142,] FALSE FALSE FALSE FALSE FALSE FALSE
## [143,] FALSE FALSE FALSE FALSE FALSE FALSE
## [144,] FALSE FALSE FALSE FALSE FALSE FALSE
## [145,] FALSE FALSE FALSE FALSE FALSE FALSE
## [146,] FALSE FALSE FALSE FALSE FALSE FALSE
## [147,] FALSE FALSE FALSE FALSE FALSE FALSE
## [148,] FALSE FALSE FALSE FALSE FALSE FALSE
## [149,] FALSE FALSE FALSE FALSE FALSE FALSE
## [150,] FALSE FALSE FALSE FALSE FALSE FALSE
## [151,] FALSE FALSE FALSE FALSE FALSE FALSE
## [152,] FALSE FALSE FALSE FALSE FALSE FALSE
## [153,] FALSE FALSE FALSE FALSE FALSE FALSE
## [154,] FALSE FALSE FALSE FALSE FALSE FALSE
## [155,] FALSE FALSE FALSE FALSE FALSE FALSE
## [156,] FALSE FALSE FALSE FALSE FALSE FALSE
## [157,] FALSE FALSE FALSE FALSE FALSE FALSE
## [158,] FALSE FALSE FALSE FALSE FALSE FALSE
## [159,] FALSE FALSE FALSE FALSE FALSE FALSE
## [160,] FALSE FALSE FALSE FALSE FALSE FALSE
## [161,] FALSE FALSE FALSE FALSE FALSE FALSE
## [162,] FALSE FALSE FALSE FALSE FALSE FALSE
## [163,] FALSE FALSE FALSE FALSE FALSE FALSE
## [164,] FALSE FALSE FALSE FALSE FALSE FALSE
## [165,] FALSE FALSE FALSE FALSE FALSE FALSE
## [166,] FALSE FALSE FALSE FALSE FALSE FALSE
## [167,] FALSE FALSE FALSE FALSE FALSE FALSE
## [168,] FALSE FALSE FALSE FALSE FALSE FALSE
## [169,] FALSE FALSE FALSE FALSE FALSE FALSE
## [170,] FALSE FALSE FALSE FALSE FALSE FALSE
## [171,] FALSE FALSE FALSE FALSE FALSE FALSE
## [172,] FALSE FALSE FALSE FALSE FALSE FALSE
## [173,] FALSE FALSE FALSE FALSE FALSE FALSE
## [174,] FALSE FALSE FALSE FALSE FALSE FALSE
## [175,] FALSE FALSE FALSE FALSE FALSE FALSE
## [176,] FALSE FALSE FALSE FALSE FALSE FALSE
## [177,] FALSE FALSE FALSE FALSE FALSE FALSE
## [178,] FALSE FALSE FALSE FALSE FALSE FALSE
## [179,] FALSE FALSE FALSE FALSE FALSE FALSE
## [180,] FALSE FALSE FALSE FALSE FALSE FALSE
## [181,] FALSE FALSE FALSE FALSE FALSE FALSE
## [182,] FALSE FALSE FALSE FALSE FALSE FALSE
## [183,] FALSE FALSE FALSE FALSE FALSE FALSE
## [184,] FALSE FALSE FALSE FALSE FALSE FALSE
## [185,] FALSE FALSE FALSE FALSE FALSE FALSE
## [186,] FALSE FALSE FALSE FALSE FALSE FALSE
## [187,] FALSE FALSE FALSE FALSE FALSE FALSE
## [188,] FALSE FALSE FALSE FALSE FALSE FALSE
## [189,] FALSE FALSE FALSE FALSE FALSE FALSE
## [190,] FALSE FALSE FALSE FALSE FALSE FALSE
## [191,] FALSE FALSE FALSE FALSE FALSE FALSE
## [192,] FALSE FALSE FALSE FALSE FALSE FALSE
## [193,] FALSE FALSE FALSE FALSE FALSE FALSE
## [194,] FALSE FALSE FALSE FALSE FALSE FALSE
## [195,] FALSE FALSE FALSE FALSE FALSE FALSE
## [196,] FALSE FALSE FALSE FALSE FALSE FALSE
## [197,] FALSE FALSE FALSE FALSE FALSE FALSE
## [198,] FALSE FALSE FALSE FALSE FALSE FALSE
## [199,] FALSE FALSE FALSE FALSE FALSE FALSE
## [200,] FALSE FALSE FALSE FALSE FALSE FALSE
## [201,] FALSE FALSE FALSE FALSE FALSE FALSE
## [202,] FALSE FALSE FALSE FALSE FALSE FALSE
## [203,] FALSE FALSE FALSE FALSE FALSE FALSE
## [204,] FALSE FALSE FALSE FALSE FALSE FALSE
## [205,] FALSE FALSE FALSE FALSE FALSE FALSE
## [206,] FALSE FALSE FALSE FALSE FALSE FALSE
## [207,] FALSE FALSE FALSE FALSE FALSE FALSE
## [208,] FALSE FALSE FALSE FALSE FALSE FALSE
## [209,] FALSE FALSE FALSE FALSE FALSE FALSE
## [210,] FALSE FALSE FALSE FALSE FALSE FALSE
## [211,] FALSE FALSE FALSE FALSE FALSE FALSE
## [212,] FALSE FALSE FALSE FALSE FALSE FALSE
## [213,] FALSE FALSE FALSE FALSE FALSE FALSE
## [214,] FALSE FALSE FALSE FALSE FALSE FALSE
## [215,] FALSE FALSE FALSE FALSE FALSE FALSE
## [216,] FALSE FALSE FALSE FALSE FALSE FALSE
## [217,] FALSE FALSE FALSE FALSE FALSE FALSE
## [218,] FALSE FALSE FALSE FALSE FALSE FALSE
## [219,] FALSE FALSE FALSE FALSE FALSE FALSE
## [220,] FALSE FALSE FALSE FALSE FALSE FALSE
## [221,] FALSE FALSE FALSE FALSE FALSE FALSE
## [222,] FALSE FALSE FALSE FALSE FALSE FALSE
## [223,] FALSE FALSE FALSE FALSE FALSE FALSE
## [224,] FALSE FALSE FALSE FALSE FALSE FALSE
## [225,] FALSE FALSE FALSE FALSE FALSE FALSE
## [226,] FALSE FALSE FALSE FALSE FALSE FALSE
## [227,] FALSE FALSE FALSE FALSE FALSE FALSE
## [228,] FALSE FALSE FALSE FALSE FALSE FALSE
## [229,] FALSE FALSE FALSE FALSE FALSE FALSE
## [230,] FALSE FALSE FALSE FALSE FALSE FALSE
## [231,] FALSE FALSE FALSE FALSE FALSE FALSE
## [232,] FALSE FALSE FALSE FALSE FALSE FALSE
## [233,] FALSE FALSE FALSE FALSE FALSE FALSE
## [234,] FALSE FALSE FALSE FALSE FALSE FALSE
## [235,] FALSE FALSE FALSE FALSE FALSE FALSE
## [236,] FALSE FALSE FALSE FALSE FALSE FALSE
## [237,] FALSE FALSE FALSE FALSE FALSE FALSE
## [238,] FALSE FALSE FALSE FALSE FALSE FALSE
## [239,] FALSE FALSE FALSE FALSE FALSE FALSE
## [240,] FALSE FALSE FALSE FALSE FALSE FALSE
## [241,] FALSE FALSE FALSE FALSE FALSE FALSE
## [242,] FALSE FALSE FALSE FALSE FALSE FALSE
## [243,] FALSE FALSE FALSE FALSE FALSE FALSE
## [244,] FALSE FALSE FALSE FALSE FALSE FALSE
## [245,] FALSE FALSE FALSE FALSE FALSE FALSE
## [246,] FALSE FALSE FALSE FALSE FALSE FALSE
## [247,] FALSE FALSE FALSE FALSE FALSE FALSE
## [248,] FALSE FALSE FALSE FALSE FALSE FALSE
## [249,] FALSE FALSE FALSE FALSE FALSE FALSE
## [250,] FALSE FALSE FALSE FALSE FALSE FALSE
## [251,] FALSE FALSE FALSE FALSE FALSE FALSE
## [252,] FALSE FALSE FALSE FALSE FALSE FALSE
## [253,] FALSE FALSE FALSE FALSE FALSE FALSE
## [254,] FALSE FALSE FALSE FALSE FALSE FALSE
## [255,] FALSE FALSE FALSE FALSE FALSE FALSE
## [256,] FALSE FALSE FALSE FALSE FALSE FALSE
## [257,] FALSE FALSE FALSE FALSE FALSE FALSE
## [258,] FALSE FALSE FALSE FALSE FALSE FALSE
## [259,] FALSE FALSE FALSE FALSE FALSE FALSE
## [260,] FALSE FALSE FALSE FALSE FALSE FALSE
## [261,] FALSE FALSE FALSE FALSE FALSE FALSE
## [262,] FALSE FALSE FALSE FALSE FALSE FALSE
## [263,] FALSE FALSE FALSE FALSE FALSE FALSE
## [264,] FALSE FALSE FALSE FALSE FALSE FALSE
## [265,] FALSE FALSE FALSE FALSE FALSE FALSE
## [266,] FALSE FALSE FALSE FALSE FALSE FALSE
## [267,] FALSE FALSE FALSE FALSE FALSE FALSE
## [268,] FALSE FALSE FALSE FALSE FALSE FALSE
## [269,] FALSE FALSE FALSE FALSE FALSE FALSE
## [270,] FALSE FALSE FALSE FALSE FALSE FALSE
## [271,] FALSE FALSE FALSE FALSE FALSE FALSE
## [272,] FALSE FALSE FALSE FALSE FALSE FALSE
## [273,] FALSE FALSE FALSE FALSE FALSE FALSE
## [274,] FALSE FALSE FALSE FALSE FALSE FALSE
## [275,] FALSE FALSE FALSE FALSE FALSE FALSE
## [276,] FALSE FALSE FALSE FALSE FALSE FALSE
## [277,] FALSE FALSE FALSE FALSE FALSE FALSE
## [278,] FALSE FALSE FALSE FALSE FALSE FALSE
## [279,] FALSE FALSE FALSE FALSE FALSE FALSE
## [280,] FALSE FALSE FALSE FALSE FALSE FALSE
## [281,] FALSE FALSE FALSE FALSE FALSE FALSE
## [282,] FALSE FALSE FALSE FALSE FALSE FALSE
## [283,] FALSE FALSE FALSE FALSE FALSE FALSE
## [284,] FALSE FALSE FALSE FALSE FALSE FALSE
## [285,] FALSE FALSE FALSE FALSE FALSE FALSE
## [286,] FALSE FALSE FALSE FALSE FALSE FALSE
## [287,] FALSE FALSE FALSE FALSE FALSE FALSE
## [288,] FALSE FALSE FALSE FALSE FALSE FALSE
## [289,] FALSE FALSE FALSE FALSE FALSE FALSE
## [290,] FALSE FALSE FALSE FALSE FALSE FALSE
## [291,] FALSE FALSE FALSE FALSE FALSE FALSE
## [292,] FALSE FALSE FALSE FALSE FALSE FALSE
## [293,] FALSE FALSE FALSE FALSE FALSE FALSE
## [294,] FALSE FALSE FALSE FALSE FALSE FALSE
## [295,] FALSE FALSE FALSE FALSE FALSE FALSE
## [296,] FALSE FALSE FALSE FALSE FALSE FALSE
## [297,] FALSE FALSE FALSE FALSE FALSE FALSE
## [298,] FALSE FALSE FALSE FALSE FALSE FALSE
## [299,] FALSE FALSE FALSE FALSE FALSE FALSE
## [300,] FALSE FALSE FALSE FALSE FALSE FALSE
## [301,] FALSE FALSE FALSE FALSE FALSE FALSE
## [302,] FALSE FALSE FALSE FALSE FALSE FALSE
## [303,] FALSE FALSE FALSE FALSE FALSE FALSE
## [304,] FALSE FALSE FALSE FALSE FALSE FALSE
## [305,] FALSE FALSE FALSE FALSE FALSE FALSE
## [306,] FALSE FALSE FALSE FALSE FALSE FALSE
## [307,] FALSE FALSE FALSE FALSE FALSE FALSE
## [308,] FALSE FALSE FALSE FALSE FALSE FALSE
## [309,] FALSE FALSE FALSE FALSE FALSE FALSE
## [310,] FALSE FALSE FALSE FALSE FALSE FALSE
## [311,] FALSE FALSE FALSE FALSE FALSE FALSE
## [312,] FALSE FALSE FALSE FALSE FALSE FALSE
## [313,] FALSE FALSE FALSE FALSE FALSE FALSE
## [314,] FALSE FALSE FALSE FALSE FALSE FALSE
## [315,] FALSE FALSE FALSE FALSE FALSE FALSE
## [316,] FALSE FALSE FALSE FALSE FALSE FALSE
## [317,] FALSE FALSE FALSE FALSE FALSE FALSE
## [318,] FALSE FALSE FALSE FALSE FALSE FALSE
## [319,] FALSE FALSE FALSE FALSE FALSE FALSE
## [320,] FALSE FALSE FALSE FALSE FALSE FALSE
## [321,] FALSE FALSE FALSE FALSE FALSE FALSE
## [322,] FALSE FALSE FALSE FALSE FALSE FALSE
## [323,] FALSE FALSE FALSE FALSE FALSE FALSE
## [324,] FALSE FALSE FALSE FALSE FALSE FALSE
## [325,] FALSE FALSE FALSE FALSE FALSE FALSE
## [326,] FALSE FALSE FALSE FALSE FALSE FALSE
## [327,] FALSE FALSE FALSE FALSE FALSE FALSE
## [328,] FALSE FALSE FALSE FALSE FALSE FALSE
## [329,] FALSE FALSE FALSE FALSE FALSE FALSE
## [330,] FALSE FALSE FALSE FALSE FALSE FALSE
## [331,] FALSE FALSE FALSE FALSE FALSE FALSE
## [332,] FALSE FALSE FALSE FALSE FALSE FALSE
## [333,] FALSE FALSE FALSE FALSE FALSE FALSE
## [334,] FALSE FALSE FALSE FALSE FALSE FALSE
## [335,] FALSE FALSE FALSE FALSE FALSE FALSE
## [336,] FALSE FALSE FALSE FALSE FALSE FALSE
## [337,] FALSE FALSE FALSE FALSE FALSE FALSE
## [338,] FALSE FALSE FALSE FALSE FALSE FALSE
## [339,] FALSE FALSE FALSE FALSE FALSE FALSE
## [340,] FALSE FALSE FALSE FALSE FALSE FALSE
## [341,] FALSE FALSE FALSE FALSE FALSE FALSE
## [342,] FALSE FALSE FALSE FALSE FALSE FALSE
## [343,] FALSE FALSE FALSE FALSE FALSE FALSE
## [344,] FALSE FALSE FALSE FALSE FALSE FALSE
## [345,] FALSE FALSE FALSE FALSE FALSE FALSE
## [346,] FALSE FALSE FALSE FALSE FALSE FALSE
## [347,] FALSE FALSE FALSE FALSE FALSE FALSE
## [348,] FALSE FALSE FALSE FALSE FALSE FALSE
## [349,] FALSE FALSE FALSE FALSE FALSE FALSE
## [350,] FALSE FALSE FALSE FALSE FALSE FALSE
## [351,] FALSE FALSE FALSE FALSE FALSE FALSE
## [352,] FALSE FALSE FALSE FALSE FALSE FALSE
## [353,] FALSE FALSE FALSE FALSE FALSE FALSE
## [354,] FALSE FALSE FALSE FALSE FALSE FALSE
## [355,] FALSE FALSE FALSE FALSE FALSE FALSE
## [356,] FALSE FALSE FALSE FALSE FALSE FALSE
## [357,] FALSE FALSE FALSE FALSE FALSE FALSE
## [358,] FALSE FALSE FALSE FALSE FALSE FALSE
## [359,] FALSE FALSE FALSE FALSE FALSE FALSE
## [360,] FALSE FALSE FALSE FALSE FALSE FALSE
## [361,] FALSE FALSE FALSE FALSE FALSE FALSE
## [362,] FALSE FALSE FALSE FALSE FALSE FALSE
## [363,] FALSE FALSE FALSE FALSE FALSE FALSE
## [364,] FALSE FALSE FALSE FALSE FALSE FALSE
## [365,] FALSE FALSE FALSE FALSE FALSE FALSE
## [366,] FALSE FALSE FALSE FALSE FALSE FALSE
## [367,] FALSE FALSE FALSE FALSE FALSE FALSE
## [368,] FALSE FALSE FALSE FALSE FALSE FALSE
## [369,] FALSE FALSE FALSE FALSE FALSE FALSE
## [370,] FALSE FALSE FALSE FALSE FALSE FALSE
## [371,] FALSE FALSE FALSE FALSE FALSE FALSE
## [372,] FALSE FALSE FALSE FALSE FALSE FALSE
## [373,] FALSE FALSE FALSE FALSE FALSE FALSE
## [374,] FALSE FALSE FALSE FALSE FALSE FALSE
## [375,] FALSE FALSE FALSE FALSE FALSE FALSE
## [376,] FALSE FALSE FALSE FALSE FALSE FALSE
## [377,] FALSE FALSE FALSE FALSE FALSE FALSE
## [378,] FALSE FALSE FALSE FALSE FALSE FALSE
## [379,] FALSE FALSE FALSE FALSE FALSE FALSE
## [380,] FALSE FALSE FALSE FALSE FALSE FALSE
## [381,] FALSE FALSE FALSE FALSE FALSE FALSE
## [382,] FALSE FALSE FALSE FALSE FALSE FALSE
## [383,] FALSE FALSE FALSE FALSE FALSE FALSE
## [384,] FALSE FALSE FALSE FALSE FALSE FALSE
## [385,] FALSE FALSE FALSE FALSE FALSE FALSE
## [386,] FALSE FALSE FALSE FALSE FALSE FALSE
## [387,] FALSE FALSE FALSE FALSE FALSE FALSE
## [388,] FALSE FALSE FALSE FALSE FALSE FALSE
## [389,] FALSE FALSE FALSE FALSE FALSE FALSE
## [390,] FALSE FALSE FALSE FALSE FALSE FALSE
## [391,] FALSE FALSE FALSE FALSE FALSE FALSE
## [392,] FALSE FALSE FALSE FALSE FALSE FALSE
## [393,] FALSE FALSE FALSE FALSE FALSE FALSE
## [394,] FALSE FALSE FALSE FALSE FALSE FALSE
## [395,] FALSE FALSE FALSE FALSE FALSE FALSE
## [396,] FALSE FALSE FALSE FALSE FALSE FALSE
## [397,] FALSE FALSE FALSE FALSE FALSE FALSE
## [398,] FALSE FALSE FALSE FALSE FALSE FALSE
## [399,] FALSE FALSE FALSE FALSE FALSE FALSE
## [400,] FALSE FALSE FALSE FALSE FALSE FALSE
## [401,] FALSE FALSE FALSE FALSE FALSE FALSE
## [402,] FALSE FALSE FALSE FALSE FALSE FALSE
## [403,] FALSE FALSE FALSE FALSE FALSE FALSE
## [404,] FALSE FALSE FALSE FALSE FALSE FALSE
## [405,] FALSE FALSE FALSE FALSE FALSE FALSE
## [406,] FALSE FALSE FALSE FALSE FALSE FALSE
## [407,] FALSE FALSE FALSE FALSE FALSE FALSE
## [408,] FALSE FALSE FALSE FALSE FALSE FALSE
## [409,] FALSE FALSE FALSE FALSE FALSE FALSE
## [410,] FALSE FALSE FALSE FALSE FALSE FALSE
## [411,] FALSE FALSE FALSE FALSE FALSE FALSE
## [412,] FALSE FALSE FALSE FALSE FALSE FALSE
## [413,] FALSE FALSE FALSE FALSE FALSE FALSE
## [414,] FALSE FALSE FALSE FALSE FALSE FALSE
## [415,] FALSE FALSE FALSE FALSE FALSE FALSE
## [416,] FALSE FALSE FALSE FALSE FALSE FALSE
## [417,] FALSE FALSE FALSE FALSE FALSE FALSE
## [418,] FALSE FALSE FALSE FALSE FALSE FALSE
## [419,] FALSE FALSE FALSE FALSE FALSE FALSE
## [420,] FALSE FALSE FALSE FALSE FALSE FALSE
## [421,] FALSE FALSE FALSE FALSE FALSE FALSE
## [422,] FALSE FALSE FALSE FALSE FALSE FALSE
## [423,] FALSE FALSE FALSE FALSE FALSE FALSE
## [424,] FALSE FALSE FALSE FALSE FALSE FALSE
## [425,] FALSE FALSE FALSE FALSE FALSE FALSE
## [426,] FALSE FALSE FALSE FALSE FALSE FALSE
## [427,] FALSE FALSE FALSE FALSE FALSE FALSE
## [428,] FALSE FALSE FALSE FALSE FALSE FALSE
## [429,] FALSE FALSE FALSE FALSE FALSE FALSE
## [430,] FALSE FALSE FALSE FALSE FALSE FALSE
## [431,] FALSE FALSE FALSE FALSE FALSE FALSE
## [432,] FALSE FALSE FALSE FALSE FALSE FALSE
## [433,] FALSE FALSE FALSE FALSE FALSE FALSE
## [434,] FALSE FALSE FALSE FALSE FALSE FALSE
## [435,] FALSE FALSE FALSE FALSE FALSE FALSE
## [436,] FALSE FALSE FALSE FALSE FALSE FALSE
## [437,] FALSE FALSE FALSE FALSE FALSE FALSE
## [438,] FALSE FALSE FALSE FALSE FALSE FALSE
## [439,] FALSE FALSE FALSE FALSE FALSE FALSE
## [440,] FALSE FALSE FALSE FALSE FALSE FALSE
## [441,] FALSE FALSE FALSE FALSE FALSE FALSE
## [442,] FALSE FALSE FALSE FALSE FALSE FALSE
## [443,] FALSE FALSE FALSE FALSE FALSE FALSE
## [444,] FALSE FALSE FALSE FALSE FALSE FALSE
## [445,] FALSE FALSE FALSE FALSE FALSE FALSE
## [446,] FALSE FALSE FALSE FALSE FALSE FALSE
## [447,] FALSE FALSE FALSE FALSE FALSE FALSE
## [448,] FALSE FALSE FALSE FALSE FALSE FALSE
## [449,] FALSE FALSE FALSE FALSE FALSE FALSE
## [450,] FALSE FALSE FALSE FALSE FALSE FALSE
## [451,] FALSE FALSE FALSE FALSE FALSE FALSE
## [452,] FALSE FALSE FALSE FALSE FALSE FALSE
## [453,] FALSE FALSE FALSE FALSE FALSE FALSE
## [454,] FALSE FALSE FALSE FALSE FALSE FALSE
## [455,] FALSE FALSE FALSE FALSE FALSE FALSE
## [456,] FALSE FALSE FALSE FALSE FALSE FALSE
## [457,] FALSE FALSE FALSE FALSE FALSE FALSE
## [458,] FALSE FALSE FALSE FALSE FALSE FALSE
## [459,] FALSE FALSE FALSE FALSE FALSE FALSE
## [460,] FALSE FALSE FALSE FALSE FALSE FALSE
## [461,] FALSE FALSE FALSE FALSE FALSE FALSE
## [462,] FALSE FALSE FALSE FALSE FALSE FALSE
## [463,] FALSE FALSE FALSE FALSE FALSE FALSE
## [464,] FALSE FALSE FALSE FALSE FALSE FALSE
## [465,] FALSE FALSE FALSE FALSE FALSE FALSE
## [466,] FALSE FALSE FALSE FALSE FALSE FALSE
## [467,] FALSE FALSE FALSE FALSE FALSE FALSE
## [468,] FALSE FALSE FALSE FALSE FALSE FALSE
## [469,] FALSE FALSE FALSE FALSE FALSE FALSE
## [470,] FALSE FALSE FALSE FALSE FALSE FALSE
## [471,] FALSE FALSE FALSE FALSE FALSE FALSE
## [472,] FALSE FALSE FALSE FALSE FALSE FALSE
## [473,] FALSE FALSE FALSE FALSE FALSE FALSE
## [474,] FALSE FALSE FALSE FALSE FALSE FALSE
## [475,] FALSE FALSE FALSE FALSE FALSE FALSE
## [476,] FALSE FALSE FALSE FALSE FALSE FALSE
## [477,] FALSE FALSE FALSE FALSE FALSE FALSE
## [478,] FALSE FALSE FALSE FALSE FALSE FALSE
## [479,] FALSE FALSE FALSE FALSE FALSE FALSE
## [480,] FALSE FALSE FALSE FALSE FALSE FALSE
## [481,] FALSE FALSE FALSE FALSE FALSE FALSE
## [482,] FALSE FALSE FALSE FALSE FALSE FALSE
## [483,] FALSE FALSE FALSE FALSE FALSE FALSE
## [484,] FALSE FALSE FALSE FALSE FALSE FALSE
## [485,] FALSE FALSE FALSE FALSE FALSE FALSE
## [486,] FALSE FALSE FALSE FALSE FALSE FALSE
## [487,] FALSE FALSE FALSE FALSE FALSE FALSE
## [488,] FALSE FALSE FALSE FALSE FALSE FALSE
## [489,] FALSE FALSE FALSE FALSE FALSE FALSE
## [490,] FALSE FALSE FALSE FALSE FALSE FALSE
## [491,] FALSE FALSE FALSE FALSE FALSE FALSE
## [492,] FALSE FALSE FALSE FALSE FALSE FALSE
## [493,] FALSE FALSE FALSE FALSE FALSE FALSE
## [494,] FALSE FALSE FALSE FALSE FALSE FALSE
## [495,] FALSE FALSE FALSE FALSE FALSE FALSE
## [496,] FALSE FALSE FALSE FALSE FALSE FALSE
## [497,] FALSE FALSE FALSE FALSE FALSE FALSE
## [498,] FALSE FALSE FALSE FALSE FALSE FALSE
## [499,] FALSE FALSE FALSE FALSE FALSE FALSE
## [500,] FALSE FALSE FALSE FALSE FALSE FALSE
## [501,] FALSE FALSE FALSE FALSE FALSE FALSE
## [502,] FALSE FALSE FALSE FALSE FALSE FALSE
## [503,] FALSE FALSE FALSE FALSE FALSE FALSE
## [504,] FALSE FALSE FALSE FALSE FALSE FALSE
## [505,] FALSE FALSE FALSE FALSE FALSE FALSE
## [506,] FALSE FALSE FALSE FALSE FALSE FALSE
## [507,] FALSE FALSE FALSE FALSE FALSE FALSE
## [508,] FALSE FALSE FALSE FALSE FALSE FALSE
## [509,] FALSE FALSE FALSE FALSE FALSE FALSE
## [510,] FALSE FALSE FALSE FALSE FALSE FALSE
## [511,] FALSE FALSE FALSE FALSE FALSE FALSE
## [512,] FALSE FALSE FALSE FALSE FALSE FALSE
## [513,] FALSE FALSE FALSE FALSE FALSE FALSE
## [514,] FALSE FALSE FALSE FALSE FALSE FALSE
## [515,] FALSE FALSE FALSE FALSE FALSE FALSE
## [516,] FALSE FALSE FALSE FALSE FALSE FALSE
## [517,] FALSE FALSE FALSE FALSE FALSE FALSE
## [518,] FALSE FALSE FALSE FALSE FALSE FALSE
## [519,] FALSE FALSE FALSE FALSE FALSE FALSE
## [520,] FALSE FALSE FALSE FALSE FALSE FALSE
## [521,] FALSE FALSE FALSE FALSE FALSE FALSE
## [522,] FALSE FALSE FALSE FALSE FALSE FALSE
## [523,] FALSE FALSE FALSE FALSE FALSE FALSE
## [524,] FALSE FALSE FALSE FALSE FALSE FALSE
## [525,] FALSE FALSE FALSE FALSE FALSE FALSE
## [526,] FALSE FALSE FALSE FALSE FALSE FALSE
## [527,] FALSE FALSE FALSE FALSE FALSE FALSE
## [528,] FALSE FALSE FALSE FALSE FALSE FALSE
## [529,] FALSE FALSE FALSE FALSE FALSE FALSE
## [530,] FALSE FALSE FALSE FALSE FALSE FALSE
## [531,] FALSE FALSE FALSE FALSE FALSE FALSE
## [532,] FALSE FALSE FALSE FALSE FALSE FALSE
## [533,] FALSE FALSE FALSE FALSE FALSE FALSE
## [534,] FALSE FALSE FALSE FALSE FALSE FALSE
## [535,] FALSE FALSE FALSE FALSE FALSE FALSE
## [536,] FALSE FALSE FALSE FALSE FALSE FALSE
## [537,] FALSE FALSE FALSE FALSE FALSE FALSE
## [538,] FALSE FALSE FALSE FALSE FALSE FALSE
## [539,] FALSE FALSE FALSE FALSE FALSE FALSE
## [540,] FALSE FALSE FALSE FALSE FALSE FALSE
## [541,] FALSE FALSE FALSE FALSE FALSE FALSE
## [542,] FALSE FALSE FALSE FALSE FALSE FALSE
## [543,] FALSE FALSE FALSE FALSE FALSE FALSE
## [544,] FALSE FALSE FALSE FALSE FALSE FALSE
## [545,] FALSE FALSE FALSE FALSE FALSE FALSE
## [546,] FALSE FALSE FALSE FALSE FALSE FALSE
## [547,] FALSE FALSE FALSE FALSE FALSE FALSE
## [548,] FALSE FALSE FALSE FALSE FALSE FALSE
## [549,] FALSE FALSE FALSE FALSE FALSE FALSE
## [550,] FALSE FALSE FALSE FALSE FALSE FALSE
## [551,] FALSE FALSE FALSE FALSE FALSE FALSE
## [552,] FALSE FALSE FALSE FALSE FALSE FALSE
## [553,] FALSE FALSE FALSE FALSE FALSE FALSE
## [554,] FALSE FALSE FALSE FALSE FALSE FALSE
## [555,] FALSE FALSE FALSE FALSE FALSE FALSE
## [556,] FALSE FALSE FALSE FALSE FALSE FALSE
## [557,] FALSE FALSE FALSE FALSE FALSE FALSE
## [558,] FALSE FALSE FALSE FALSE FALSE FALSE
## [559,] FALSE FALSE FALSE FALSE FALSE FALSE
## [560,] FALSE FALSE FALSE FALSE FALSE FALSE
## [561,] FALSE FALSE FALSE FALSE FALSE FALSE
## [562,] FALSE FALSE FALSE FALSE FALSE FALSE
## [563,] FALSE FALSE FALSE FALSE FALSE FALSE
## [564,] FALSE FALSE FALSE FALSE FALSE FALSE
## [565,] FALSE FALSE FALSE FALSE FALSE FALSE
## [566,] FALSE FALSE FALSE FALSE FALSE FALSE
## [567,] FALSE FALSE FALSE FALSE FALSE FALSE
## [568,] FALSE FALSE FALSE FALSE FALSE FALSE
## [569,] FALSE FALSE FALSE FALSE FALSE FALSE
## [570,] FALSE FALSE FALSE FALSE FALSE FALSE
## [571,] FALSE FALSE FALSE FALSE FALSE FALSE
## [572,] FALSE FALSE FALSE FALSE FALSE FALSE
## [573,] FALSE FALSE FALSE FALSE FALSE FALSE
## [574,] FALSE FALSE FALSE FALSE FALSE FALSE
## [575,] FALSE FALSE FALSE FALSE FALSE FALSE
## [576,] FALSE FALSE FALSE FALSE FALSE FALSE
## [577,] FALSE FALSE FALSE FALSE FALSE FALSE
## [578,] FALSE FALSE FALSE FALSE FALSE FALSE
## [579,] FALSE FALSE FALSE FALSE FALSE FALSE
## [580,] FALSE FALSE FALSE FALSE FALSE FALSE
## [581,] FALSE FALSE FALSE FALSE FALSE FALSE
## [582,] FALSE FALSE FALSE FALSE FALSE FALSE
## [583,] FALSE FALSE FALSE FALSE FALSE FALSE
## [584,] FALSE FALSE FALSE FALSE FALSE FALSE
## [585,] FALSE FALSE FALSE FALSE FALSE FALSE
## [586,] FALSE FALSE FALSE FALSE FALSE FALSE
## [587,] FALSE FALSE FALSE FALSE FALSE FALSE
## [588,] FALSE FALSE FALSE FALSE FALSE FALSE
## [589,] FALSE FALSE FALSE FALSE FALSE FALSE
## [590,] FALSE FALSE FALSE FALSE FALSE FALSE
## [591,] FALSE FALSE FALSE FALSE FALSE FALSE
## [592,] FALSE FALSE FALSE FALSE FALSE FALSE
## [593,] FALSE FALSE FALSE FALSE FALSE FALSE
## [594,] FALSE FALSE FALSE FALSE FALSE FALSE
## [595,] FALSE FALSE FALSE FALSE FALSE FALSE
## [596,] FALSE FALSE FALSE FALSE FALSE FALSE
## [597,] FALSE FALSE FALSE FALSE FALSE FALSE
## [598,] FALSE FALSE FALSE FALSE FALSE FALSE
## [599,] FALSE FALSE FALSE FALSE FALSE FALSE
## [600,] FALSE FALSE FALSE FALSE FALSE FALSE
## [601,] FALSE FALSE FALSE FALSE FALSE FALSE
## [602,] FALSE FALSE FALSE FALSE FALSE FALSE
## [603,] FALSE FALSE FALSE FALSE FALSE FALSE
## [604,] FALSE FALSE FALSE FALSE FALSE FALSE
## [605,] FALSE FALSE FALSE FALSE FALSE FALSE
## [606,] FALSE FALSE FALSE FALSE FALSE FALSE
## [607,] FALSE FALSE FALSE FALSE FALSE FALSE
## [608,] FALSE FALSE FALSE FALSE FALSE FALSE
## [609,] FALSE FALSE FALSE FALSE FALSE FALSE
## [610,] FALSE FALSE FALSE FALSE FALSE FALSE
## [611,] FALSE FALSE FALSE FALSE FALSE FALSE
## [612,] FALSE FALSE FALSE FALSE FALSE FALSE
## [613,] FALSE FALSE FALSE FALSE FALSE FALSE
## [614,] FALSE FALSE FALSE FALSE FALSE FALSE
## [615,] FALSE FALSE FALSE FALSE FALSE FALSE
## [616,] FALSE FALSE FALSE FALSE FALSE FALSE
## [617,] FALSE FALSE FALSE FALSE FALSE FALSE
## [618,] FALSE FALSE FALSE FALSE FALSE FALSE
## [619,] FALSE FALSE FALSE FALSE FALSE FALSE
## [620,] FALSE FALSE FALSE FALSE FALSE FALSE
## [621,] FALSE FALSE FALSE FALSE FALSE FALSE
## [622,] FALSE FALSE FALSE FALSE FALSE FALSE
## [623,] FALSE FALSE FALSE FALSE FALSE FALSE
## [624,] FALSE FALSE FALSE FALSE FALSE FALSE
## [625,] FALSE FALSE FALSE FALSE FALSE FALSE
## [626,] FALSE FALSE FALSE FALSE FALSE FALSE
## [627,] FALSE FALSE FALSE FALSE FALSE FALSE
## [628,] FALSE FALSE FALSE FALSE FALSE FALSE
## [629,] FALSE FALSE FALSE FALSE FALSE FALSE
## [630,] FALSE FALSE FALSE FALSE FALSE FALSE
## [631,] FALSE FALSE FALSE FALSE FALSE FALSE
## [632,] FALSE FALSE FALSE FALSE FALSE FALSE
## [633,] FALSE FALSE FALSE FALSE FALSE FALSE
## [634,] FALSE FALSE FALSE FALSE FALSE FALSE
## [635,] FALSE FALSE FALSE FALSE FALSE FALSE
## [636,] FALSE FALSE FALSE FALSE FALSE FALSE
## [637,] FALSE FALSE FALSE FALSE FALSE FALSE
## [638,] FALSE FALSE FALSE FALSE FALSE FALSE
## [639,] FALSE FALSE FALSE FALSE FALSE FALSE
## [640,] FALSE FALSE FALSE FALSE FALSE FALSE
## [641,] FALSE FALSE FALSE FALSE FALSE FALSE
## [642,] FALSE FALSE FALSE FALSE FALSE FALSE
## [643,] FALSE FALSE FALSE FALSE FALSE FALSE
## [644,] FALSE FALSE FALSE FALSE FALSE FALSE
## [645,] FALSE FALSE FALSE FALSE FALSE FALSE
## [646,] FALSE FALSE FALSE FALSE FALSE FALSE
## [647,] FALSE FALSE FALSE FALSE FALSE FALSE
## [648,] FALSE FALSE FALSE FALSE FALSE FALSE
## [649,] FALSE FALSE FALSE FALSE FALSE FALSE
## [650,] FALSE FALSE FALSE FALSE FALSE FALSE
## [651,] FALSE FALSE FALSE FALSE FALSE FALSE
## [652,] FALSE FALSE FALSE FALSE FALSE FALSE
## [653,] FALSE FALSE FALSE FALSE FALSE FALSE
## [654,] FALSE FALSE FALSE FALSE FALSE FALSE
## [655,] FALSE FALSE FALSE FALSE FALSE FALSE
## [656,] FALSE FALSE FALSE FALSE FALSE FALSE
## [657,] FALSE FALSE FALSE FALSE FALSE FALSE
## [658,] FALSE FALSE FALSE FALSE FALSE FALSE
## [659,] FALSE FALSE FALSE FALSE FALSE FALSE
## [660,] FALSE FALSE FALSE FALSE FALSE FALSE
## [661,] FALSE FALSE FALSE FALSE FALSE FALSE
## [662,] FALSE FALSE FALSE FALSE FALSE FALSE
## [663,] FALSE FALSE FALSE FALSE FALSE FALSE
## [664,] FALSE FALSE FALSE FALSE FALSE FALSE
## [665,] FALSE FALSE FALSE FALSE FALSE FALSE
## [666,] FALSE FALSE FALSE FALSE FALSE FALSE
## [667,] FALSE FALSE FALSE FALSE FALSE FALSE
## [668,] FALSE FALSE FALSE FALSE FALSE FALSE
## [669,] FALSE FALSE FALSE FALSE FALSE FALSE
## [670,] FALSE FALSE FALSE FALSE FALSE FALSE
## [671,] FALSE FALSE FALSE FALSE FALSE FALSE
## [672,] FALSE FALSE FALSE FALSE FALSE FALSE
## [673,] FALSE FALSE FALSE FALSE FALSE FALSE
## [674,] FALSE FALSE FALSE FALSE FALSE FALSE
## [675,] FALSE FALSE FALSE FALSE FALSE FALSE
## [676,] FALSE FALSE FALSE FALSE FALSE FALSE
## [677,] FALSE FALSE FALSE FALSE FALSE FALSE
## [678,] FALSE FALSE FALSE FALSE FALSE FALSE
## [679,] FALSE FALSE FALSE FALSE FALSE FALSE
## [680,] FALSE FALSE FALSE FALSE FALSE FALSE
## [681,] FALSE FALSE FALSE FALSE FALSE FALSE
## [682,] FALSE FALSE FALSE FALSE FALSE FALSE
## [683,] FALSE FALSE FALSE FALSE FALSE FALSE
## [684,] FALSE FALSE FALSE FALSE FALSE FALSE
## [685,] FALSE FALSE FALSE FALSE FALSE FALSE
## [686,] FALSE FALSE FALSE FALSE FALSE FALSE
## [687,] FALSE FALSE FALSE FALSE FALSE FALSE
## [688,] FALSE FALSE FALSE FALSE FALSE FALSE
## [689,] FALSE FALSE FALSE FALSE FALSE FALSE
## [690,] FALSE FALSE FALSE FALSE FALSE FALSE
## [691,] FALSE FALSE FALSE FALSE FALSE FALSE
## [692,] FALSE FALSE FALSE FALSE FALSE FALSE
## [693,] FALSE FALSE FALSE FALSE FALSE FALSE
## [694,] FALSE FALSE FALSE FALSE FALSE FALSE
## [695,] FALSE FALSE FALSE FALSE FALSE FALSE
## [696,] FALSE FALSE FALSE FALSE FALSE FALSE
## [697,] FALSE FALSE FALSE FALSE FALSE FALSE
## [698,] FALSE FALSE FALSE FALSE FALSE FALSE
## [699,] FALSE FALSE FALSE FALSE FALSE FALSE
## [700,] FALSE FALSE FALSE FALSE FALSE FALSE
## [701,] FALSE FALSE FALSE FALSE FALSE FALSE
## [702,] FALSE FALSE FALSE FALSE FALSE FALSE
## [703,] FALSE FALSE FALSE FALSE FALSE FALSE
## [704,] FALSE FALSE FALSE FALSE FALSE FALSE
## [705,] FALSE FALSE FALSE FALSE FALSE FALSE
## [706,] FALSE FALSE FALSE FALSE FALSE FALSE
## [707,] FALSE FALSE FALSE FALSE FALSE FALSE
## [708,] FALSE FALSE FALSE FALSE FALSE FALSE
## [709,] FALSE FALSE FALSE FALSE FALSE FALSE
## [710,] FALSE FALSE FALSE FALSE FALSE FALSE
## [711,] FALSE FALSE FALSE FALSE FALSE FALSE
## [712,] FALSE FALSE FALSE FALSE FALSE FALSE
## [713,] FALSE FALSE FALSE FALSE FALSE FALSE
## [714,] FALSE FALSE FALSE FALSE FALSE FALSE
## [715,] FALSE FALSE FALSE FALSE FALSE FALSE
## [716,] FALSE FALSE FALSE FALSE FALSE FALSE
## [717,] FALSE FALSE FALSE FALSE FALSE FALSE
## [718,] FALSE FALSE FALSE FALSE FALSE FALSE
## [719,] FALSE FALSE FALSE FALSE FALSE FALSE
## [720,] FALSE FALSE FALSE FALSE FALSE FALSE
## [721,] FALSE FALSE FALSE FALSE FALSE FALSE
## [722,] FALSE FALSE FALSE FALSE FALSE FALSE
## [723,] FALSE FALSE FALSE FALSE FALSE FALSE
## [724,] FALSE FALSE FALSE FALSE FALSE FALSE
## [725,] FALSE FALSE FALSE FALSE FALSE FALSE
## [726,] FALSE FALSE FALSE FALSE FALSE FALSE
## [727,] FALSE FALSE FALSE FALSE FALSE FALSE
## [728,] FALSE FALSE FALSE FALSE FALSE FALSE
## [729,] FALSE FALSE FALSE FALSE FALSE FALSE
## [730,] FALSE FALSE FALSE FALSE FALSE FALSE
## [731,] FALSE FALSE FALSE FALSE FALSE FALSE
## [732,] FALSE FALSE FALSE FALSE FALSE FALSE
## [733,] FALSE FALSE FALSE FALSE FALSE FALSE
## [734,] FALSE FALSE FALSE FALSE FALSE FALSE
## [735,] FALSE FALSE FALSE FALSE FALSE FALSE
## [736,] FALSE FALSE FALSE FALSE FALSE FALSE
## [737,] FALSE FALSE FALSE FALSE FALSE FALSE
## [738,] FALSE FALSE FALSE FALSE FALSE FALSE
## [739,] FALSE FALSE FALSE FALSE FALSE FALSE
## [740,] FALSE FALSE FALSE FALSE FALSE FALSE
## [741,] FALSE FALSE FALSE FALSE FALSE FALSE
## [742,] FALSE FALSE FALSE FALSE FALSE FALSE
## [743,] FALSE FALSE FALSE FALSE FALSE FALSE
## [744,] FALSE FALSE FALSE FALSE FALSE FALSE
## [745,] FALSE FALSE FALSE FALSE FALSE FALSE
## [746,] FALSE FALSE FALSE FALSE FALSE FALSE
## [747,] FALSE FALSE FALSE FALSE FALSE FALSE
## [748,] FALSE FALSE FALSE FALSE FALSE FALSE
## [749,] FALSE FALSE FALSE FALSE FALSE FALSE
## [750,] FALSE FALSE FALSE FALSE FALSE FALSE
## [751,] FALSE FALSE FALSE FALSE FALSE FALSE
## [752,] FALSE FALSE FALSE FALSE FALSE FALSE
## [753,] FALSE FALSE FALSE FALSE FALSE FALSE
## [754,] FALSE FALSE FALSE FALSE FALSE FALSE
## [755,] FALSE FALSE FALSE FALSE FALSE FALSE
## [756,] FALSE FALSE FALSE FALSE FALSE FALSE
## [757,] FALSE FALSE FALSE FALSE FALSE FALSE
## [758,] FALSE FALSE FALSE FALSE FALSE FALSE
## [759,] FALSE FALSE FALSE FALSE FALSE FALSE
## [760,] FALSE FALSE FALSE FALSE FALSE FALSE
## [761,] FALSE FALSE FALSE FALSE FALSE FALSE
## [762,] FALSE FALSE FALSE FALSE FALSE FALSE
## [763,] FALSE FALSE FALSE FALSE FALSE FALSE
## [764,] FALSE FALSE FALSE FALSE FALSE FALSE
## [765,] FALSE FALSE FALSE FALSE FALSE FALSE
## [766,] FALSE FALSE FALSE FALSE FALSE FALSE
## [767,] FALSE FALSE FALSE FALSE FALSE FALSE
## [768,] FALSE FALSE FALSE FALSE FALSE FALSE
## [769,] FALSE FALSE FALSE FALSE FALSE FALSE
## [770,] FALSE FALSE FALSE FALSE FALSE FALSE
## [771,] FALSE FALSE FALSE FALSE FALSE FALSE
## [772,] FALSE FALSE FALSE FALSE FALSE FALSE
## [773,] FALSE FALSE FALSE FALSE FALSE FALSE
## [774,] FALSE FALSE FALSE FALSE FALSE FALSE
## [775,] FALSE FALSE FALSE FALSE FALSE FALSE
## [776,] FALSE FALSE FALSE FALSE FALSE FALSE
## [777,] FALSE FALSE FALSE FALSE FALSE FALSE
## [778,] FALSE FALSE FALSE FALSE FALSE FALSE
## [779,] FALSE FALSE FALSE FALSE FALSE FALSE
## [780,] FALSE FALSE FALSE FALSE FALSE FALSE
## [781,] FALSE FALSE FALSE FALSE FALSE FALSE
## [782,] FALSE FALSE FALSE FALSE FALSE FALSE
## [783,] FALSE FALSE FALSE FALSE FALSE FALSE
## [784,] FALSE FALSE FALSE FALSE FALSE FALSE
## [785,] FALSE FALSE FALSE FALSE FALSE FALSE
## [786,] FALSE FALSE FALSE FALSE FALSE FALSE
## [787,] FALSE FALSE FALSE FALSE FALSE FALSE
## [788,] FALSE FALSE FALSE FALSE FALSE FALSE
## [789,] FALSE FALSE FALSE FALSE FALSE FALSE
## [790,] FALSE FALSE FALSE FALSE FALSE FALSE
## [791,] FALSE FALSE FALSE FALSE FALSE FALSE
## [792,] FALSE FALSE FALSE FALSE FALSE FALSE
## [793,] FALSE FALSE FALSE FALSE FALSE FALSE
## [794,] FALSE FALSE FALSE FALSE FALSE FALSE
## [795,] FALSE FALSE FALSE FALSE FALSE FALSE
## [796,] FALSE FALSE FALSE FALSE FALSE FALSE
## [797,] FALSE FALSE FALSE FALSE FALSE FALSE
## [798,] FALSE FALSE FALSE FALSE FALSE FALSE
## [799,] FALSE FALSE FALSE FALSE FALSE FALSE
## [800,] FALSE FALSE FALSE FALSE FALSE FALSE
## [801,] FALSE FALSE FALSE FALSE FALSE FALSE
## [802,] FALSE FALSE FALSE FALSE FALSE FALSE
## [803,] FALSE FALSE FALSE FALSE FALSE FALSE
## [804,] FALSE FALSE FALSE FALSE FALSE FALSE
## [805,] FALSE FALSE FALSE FALSE FALSE FALSE
## [806,] FALSE FALSE FALSE FALSE FALSE FALSE
## [807,] FALSE FALSE FALSE FALSE FALSE FALSE
## [808,] FALSE FALSE FALSE FALSE FALSE FALSE
## [809,] FALSE FALSE FALSE FALSE FALSE FALSE
## [810,] FALSE FALSE FALSE FALSE FALSE FALSE
## [811,] FALSE FALSE FALSE FALSE FALSE FALSE
## [812,] FALSE FALSE FALSE FALSE FALSE FALSE
## [813,] FALSE FALSE FALSE FALSE FALSE FALSE
## [814,] FALSE FALSE FALSE FALSE FALSE FALSE
## [815,] FALSE FALSE FALSE FALSE FALSE FALSE
## [816,] FALSE FALSE FALSE FALSE FALSE FALSE
## [817,] FALSE FALSE FALSE FALSE FALSE FALSE
## [818,] FALSE FALSE FALSE FALSE FALSE FALSE
## [819,] FALSE FALSE FALSE FALSE FALSE FALSE
## [820,] FALSE FALSE FALSE FALSE FALSE FALSE
## [821,] FALSE FALSE FALSE FALSE FALSE FALSE
## [822,] FALSE FALSE FALSE FALSE FALSE FALSE
## [823,] FALSE FALSE FALSE FALSE FALSE FALSE
## [824,] FALSE FALSE FALSE FALSE FALSE FALSE
## [825,] FALSE FALSE FALSE FALSE FALSE FALSE
## [826,] FALSE FALSE FALSE FALSE FALSE FALSE
## [827,] FALSE FALSE FALSE FALSE FALSE FALSE
## [828,] FALSE FALSE FALSE FALSE FALSE FALSE
## [829,] FALSE FALSE FALSE FALSE FALSE FALSE
## [830,] FALSE FALSE FALSE FALSE FALSE FALSE
## [831,] FALSE FALSE FALSE FALSE FALSE FALSE
## [832,] FALSE FALSE FALSE FALSE FALSE FALSE
## [833,] FALSE FALSE FALSE FALSE FALSE FALSE
## [834,] FALSE FALSE FALSE FALSE FALSE FALSE
## [835,] FALSE FALSE FALSE FALSE FALSE FALSE
## [836,] FALSE FALSE FALSE FALSE FALSE FALSE
## [837,] FALSE FALSE FALSE FALSE FALSE FALSE
## [838,] FALSE FALSE FALSE FALSE FALSE FALSE
## [839,] FALSE FALSE FALSE FALSE FALSE FALSE
## [840,] FALSE FALSE FALSE FALSE FALSE FALSE
## [841,] FALSE FALSE FALSE FALSE FALSE FALSE
## [842,] FALSE FALSE FALSE FALSE FALSE FALSE
## [843,] FALSE FALSE FALSE FALSE FALSE FALSE
## [844,] FALSE FALSE FALSE FALSE FALSE FALSE
## [845,] FALSE FALSE FALSE FALSE FALSE FALSE
## [846,] FALSE FALSE FALSE FALSE FALSE FALSE
## [847,] FALSE FALSE FALSE FALSE FALSE FALSE
## [848,] FALSE FALSE FALSE FALSE FALSE FALSE
## [849,] FALSE FALSE FALSE FALSE FALSE FALSE
## [850,] FALSE FALSE FALSE FALSE FALSE FALSE
## [851,] FALSE FALSE FALSE FALSE FALSE FALSE
## [852,] FALSE FALSE FALSE FALSE FALSE FALSE
## [853,] FALSE FALSE FALSE FALSE FALSE FALSE
## [854,] FALSE FALSE FALSE FALSE FALSE FALSE
## [855,] FALSE FALSE FALSE FALSE FALSE FALSE
## [856,] FALSE FALSE FALSE FALSE FALSE FALSE
## [857,] FALSE FALSE FALSE FALSE FALSE FALSE
## [858,] FALSE FALSE FALSE FALSE FALSE FALSE
## [859,] FALSE FALSE FALSE FALSE FALSE FALSE
## [860,] FALSE FALSE FALSE FALSE FALSE FALSE
## [861,] FALSE FALSE FALSE FALSE FALSE FALSE
## [862,] FALSE FALSE FALSE FALSE FALSE FALSE
## [863,] FALSE FALSE FALSE FALSE FALSE FALSE
## [864,] FALSE FALSE FALSE FALSE FALSE FALSE
## [865,] FALSE FALSE FALSE FALSE FALSE FALSE
## [866,] FALSE FALSE FALSE FALSE FALSE FALSE
## [867,] FALSE FALSE FALSE FALSE FALSE FALSE
## [868,] FALSE FALSE FALSE FALSE FALSE FALSE
## [869,] FALSE FALSE FALSE FALSE FALSE FALSE
## [870,] FALSE FALSE FALSE FALSE FALSE FALSE
## [871,] FALSE FALSE FALSE FALSE FALSE FALSE
## [872,] FALSE FALSE FALSE FALSE FALSE FALSE
## [873,] FALSE FALSE FALSE FALSE FALSE FALSE
## [874,] FALSE FALSE FALSE FALSE FALSE FALSE
## [875,] FALSE FALSE FALSE FALSE FALSE FALSE
## [876,] FALSE FALSE FALSE FALSE FALSE FALSE
## [877,] FALSE FALSE FALSE FALSE FALSE FALSE
## [878,] FALSE FALSE FALSE FALSE FALSE FALSE
## [879,] FALSE FALSE FALSE FALSE FALSE FALSE
## [880,] FALSE FALSE FALSE FALSE FALSE FALSE
## [881,] FALSE FALSE FALSE FALSE FALSE FALSE
## [882,] FALSE FALSE FALSE FALSE FALSE FALSE
## [883,] FALSE FALSE FALSE FALSE FALSE FALSE
## [884,] FALSE FALSE FALSE FALSE FALSE FALSE
## [885,] FALSE FALSE FALSE FALSE FALSE FALSE
## [886,] FALSE FALSE FALSE FALSE FALSE FALSE
## [887,] FALSE FALSE FALSE FALSE FALSE FALSE
## [888,] FALSE FALSE FALSE FALSE FALSE FALSE
## [889,] FALSE FALSE FALSE FALSE FALSE FALSE
## [890,] FALSE FALSE FALSE FALSE FALSE FALSE
## [891,] FALSE FALSE FALSE FALSE FALSE FALSE
## [892,] FALSE FALSE FALSE FALSE FALSE FALSE
## [893,] FALSE FALSE FALSE FALSE FALSE FALSE
## [894,] FALSE FALSE FALSE FALSE FALSE FALSE
## [895,] FALSE FALSE FALSE FALSE FALSE FALSE
## [896,] FALSE FALSE FALSE FALSE FALSE FALSE
## [897,] FALSE FALSE FALSE FALSE FALSE FALSE
## [898,] FALSE FALSE FALSE FALSE FALSE FALSE
## [899,] FALSE FALSE FALSE FALSE FALSE FALSE
## [900,] FALSE FALSE FALSE FALSE FALSE FALSE
## [901,] FALSE FALSE FALSE FALSE FALSE FALSE
## [902,] FALSE FALSE FALSE FALSE FALSE FALSE
## [903,] FALSE FALSE FALSE FALSE FALSE FALSE
## [904,] FALSE FALSE FALSE FALSE FALSE FALSE
## [905,] FALSE FALSE FALSE FALSE FALSE FALSE
## [906,] FALSE FALSE FALSE FALSE FALSE FALSE
## [907,] FALSE FALSE FALSE FALSE FALSE FALSE
## [908,] FALSE FALSE FALSE FALSE FALSE FALSE
## [909,] FALSE FALSE FALSE FALSE FALSE FALSE
## [910,] FALSE FALSE FALSE FALSE FALSE FALSE
## [911,] FALSE FALSE FALSE FALSE FALSE FALSE
## [912,] FALSE FALSE FALSE FALSE FALSE FALSE
## [913,] FALSE FALSE FALSE FALSE FALSE FALSE
## [914,] FALSE FALSE FALSE FALSE FALSE FALSE
## [915,] FALSE FALSE FALSE FALSE FALSE FALSE
## [916,] FALSE FALSE FALSE FALSE FALSE FALSE
## [917,] FALSE FALSE FALSE FALSE FALSE FALSE
## [918,] FALSE FALSE FALSE FALSE FALSE FALSE
## [919,] FALSE FALSE FALSE FALSE FALSE FALSE
## [920,] FALSE FALSE FALSE FALSE FALSE FALSE
## [921,] FALSE FALSE FALSE FALSE FALSE FALSE
## [922,] FALSE FALSE FALSE FALSE FALSE FALSE
## [923,] FALSE FALSE FALSE FALSE FALSE FALSE
## [924,] FALSE FALSE FALSE FALSE FALSE FALSE
## [925,] FALSE FALSE FALSE FALSE FALSE FALSE
## [926,] FALSE FALSE FALSE FALSE FALSE FALSE
## [927,] FALSE FALSE FALSE FALSE FALSE FALSE
## [928,] FALSE FALSE FALSE FALSE FALSE FALSE
## [929,] FALSE FALSE FALSE FALSE FALSE FALSE
## [930,] FALSE FALSE FALSE FALSE FALSE FALSE
## [931,] FALSE FALSE FALSE FALSE FALSE FALSE
## [932,] FALSE FALSE FALSE FALSE FALSE FALSE
## [933,] FALSE FALSE FALSE FALSE FALSE FALSE
## [934,] FALSE FALSE FALSE FALSE FALSE FALSE
## [935,] FALSE FALSE FALSE FALSE FALSE FALSE
## [936,] FALSE FALSE FALSE FALSE FALSE FALSE
## [937,] FALSE FALSE FALSE FALSE FALSE FALSE
## [938,] FALSE FALSE FALSE FALSE FALSE FALSE
## [939,] FALSE FALSE FALSE FALSE FALSE FALSE
## [940,] FALSE FALSE FALSE FALSE FALSE FALSE
## [941,] FALSE FALSE FALSE FALSE FALSE FALSE
## [942,] FALSE FALSE FALSE FALSE FALSE FALSE
## [943,] FALSE FALSE FALSE FALSE FALSE FALSE
## [944,] FALSE FALSE FALSE FALSE FALSE FALSE
## [945,] FALSE FALSE FALSE FALSE FALSE FALSE
## [946,] FALSE FALSE FALSE FALSE FALSE FALSE
## [947,] FALSE FALSE FALSE FALSE FALSE FALSE
## [948,] FALSE FALSE FALSE FALSE FALSE FALSE
## [949,] FALSE FALSE FALSE FALSE FALSE FALSE
## [950,] FALSE FALSE FALSE FALSE FALSE FALSE
## [951,] FALSE FALSE FALSE FALSE FALSE FALSE
## [952,] FALSE FALSE FALSE FALSE FALSE FALSE
## [953,] FALSE FALSE FALSE FALSE FALSE FALSE
## [954,] FALSE FALSE FALSE FALSE FALSE FALSE
## [955,] FALSE FALSE FALSE FALSE FALSE FALSE
## [956,] FALSE FALSE FALSE FALSE FALSE FALSE
## [957,] FALSE FALSE FALSE FALSE FALSE FALSE
## [958,] FALSE FALSE FALSE FALSE FALSE FALSE
## [959,] FALSE FALSE FALSE FALSE FALSE FALSE
## [960,] FALSE FALSE FALSE FALSE FALSE FALSE
## [961,] FALSE FALSE FALSE FALSE FALSE FALSE
## [962,] FALSE FALSE FALSE FALSE FALSE FALSE
## [963,] FALSE FALSE FALSE FALSE FALSE FALSE
## [964,] FALSE FALSE FALSE FALSE FALSE FALSE
## [965,] FALSE FALSE FALSE FALSE FALSE FALSE
## [966,] FALSE FALSE FALSE FALSE FALSE FALSE
## [967,] FALSE FALSE FALSE FALSE FALSE FALSE
## [968,] FALSE FALSE FALSE FALSE FALSE FALSE
## [969,] FALSE FALSE FALSE FALSE FALSE FALSE
## [970,] FALSE FALSE FALSE FALSE FALSE FALSE
## [971,] FALSE FALSE FALSE FALSE FALSE FALSE
## [972,] FALSE FALSE FALSE FALSE FALSE FALSE
## [973,] FALSE FALSE FALSE FALSE FALSE FALSE
## [974,] FALSE FALSE FALSE FALSE FALSE FALSE
## [975,] FALSE FALSE FALSE FALSE FALSE FALSE
## [976,] FALSE FALSE FALSE FALSE FALSE FALSE
## [977,] FALSE FALSE FALSE FALSE FALSE FALSE
## [978,] FALSE FALSE FALSE FALSE FALSE FALSE
## [979,] FALSE FALSE FALSE FALSE FALSE FALSE
## [980,] FALSE FALSE FALSE FALSE FALSE FALSE
## [981,] FALSE FALSE FALSE FALSE FALSE FALSE
## [982,] FALSE FALSE FALSE FALSE FALSE FALSE
## [983,] FALSE FALSE FALSE FALSE FALSE FALSE
## [984,] FALSE FALSE FALSE FALSE FALSE FALSE
## [985,] FALSE FALSE FALSE FALSE FALSE FALSE
## [986,] FALSE FALSE FALSE FALSE FALSE FALSE
## [987,] FALSE FALSE FALSE FALSE FALSE FALSE
## [988,] FALSE FALSE FALSE FALSE FALSE FALSE
## [989,] FALSE FALSE FALSE FALSE FALSE FALSE
## [990,] FALSE FALSE FALSE FALSE FALSE FALSE
## [991,] FALSE FALSE FALSE FALSE FALSE FALSE
## [992,] FALSE FALSE FALSE FALSE FALSE FALSE
## [993,] FALSE FALSE FALSE FALSE FALSE FALSE
## [994,] FALSE FALSE FALSE FALSE FALSE FALSE
## [995,] FALSE FALSE FALSE FALSE FALSE FALSE
## [996,] FALSE FALSE FALSE FALSE FALSE FALSE
## [997,] FALSE FALSE FALSE FALSE FALSE FALSE
## [998,] FALSE FALSE FALSE FALSE FALSE FALSE
## [999,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1000,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1001,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1002,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1003,] FALSE FALSE FALSE FALSE FALSE FALSE
## X.Views..Avg.. Likes..Avg.. Comments..Avg.. Category.2
## [1,] FALSE FALSE FALSE FALSE
## [2,] FALSE FALSE FALSE FALSE
## [3,] FALSE FALSE FALSE FALSE
## [4,] FALSE FALSE FALSE FALSE
## [5,] FALSE FALSE FALSE FALSE
## [6,] FALSE FALSE FALSE FALSE
## [7,] FALSE FALSE FALSE FALSE
## [8,] FALSE FALSE FALSE FALSE
## [9,] FALSE FALSE FALSE FALSE
## [10,] FALSE FALSE FALSE FALSE
## [11,] FALSE FALSE FALSE FALSE
## [12,] FALSE FALSE FALSE FALSE
## [13,] FALSE FALSE FALSE FALSE
## [14,] FALSE FALSE FALSE FALSE
## [15,] FALSE FALSE FALSE FALSE
## [16,] FALSE FALSE FALSE FALSE
## [17,] FALSE FALSE FALSE FALSE
## [18,] FALSE FALSE FALSE FALSE
## [19,] FALSE FALSE FALSE FALSE
## [20,] FALSE FALSE FALSE FALSE
## [21,] FALSE FALSE FALSE FALSE
## [22,] FALSE FALSE FALSE FALSE
## [23,] FALSE FALSE FALSE FALSE
## [24,] FALSE FALSE FALSE FALSE
## [25,] FALSE FALSE FALSE FALSE
## [26,] FALSE FALSE FALSE FALSE
## [27,] FALSE FALSE FALSE FALSE
## [28,] FALSE FALSE FALSE FALSE
## [29,] FALSE FALSE FALSE FALSE
## [30,] FALSE FALSE FALSE FALSE
## [31,] FALSE FALSE FALSE FALSE
## [32,] FALSE FALSE FALSE FALSE
## [33,] FALSE FALSE FALSE FALSE
## [34,] FALSE FALSE FALSE FALSE
## [35,] FALSE FALSE FALSE FALSE
## [36,] FALSE FALSE FALSE FALSE
## [37,] FALSE FALSE FALSE FALSE
## [38,] FALSE FALSE FALSE FALSE
## [39,] FALSE FALSE FALSE FALSE
## [40,] FALSE FALSE FALSE FALSE
## [41,] FALSE FALSE FALSE FALSE
## [42,] FALSE FALSE FALSE FALSE
## [43,] FALSE FALSE FALSE FALSE
## [44,] FALSE FALSE FALSE FALSE
## [45,] FALSE FALSE FALSE FALSE
## [46,] FALSE FALSE FALSE FALSE
## [47,] FALSE FALSE FALSE FALSE
## [48,] FALSE FALSE FALSE FALSE
## [49,] FALSE FALSE FALSE FALSE
## [50,] FALSE FALSE FALSE FALSE
## [51,] FALSE FALSE FALSE FALSE
## [52,] FALSE FALSE FALSE FALSE
## [53,] FALSE FALSE FALSE FALSE
## [54,] FALSE FALSE FALSE FALSE
## [55,] FALSE FALSE FALSE FALSE
## [56,] FALSE FALSE FALSE FALSE
## [57,] FALSE FALSE FALSE FALSE
## [58,] FALSE FALSE FALSE FALSE
## [59,] FALSE FALSE FALSE FALSE
## [60,] FALSE FALSE FALSE FALSE
## [61,] FALSE FALSE FALSE FALSE
## [62,] FALSE FALSE FALSE FALSE
## [63,] FALSE FALSE FALSE FALSE
## [64,] FALSE FALSE FALSE FALSE
## [65,] FALSE FALSE FALSE FALSE
## [66,] FALSE FALSE FALSE FALSE
## [67,] FALSE FALSE FALSE FALSE
## [68,] FALSE FALSE FALSE FALSE
## [69,] FALSE FALSE FALSE FALSE
## [70,] FALSE FALSE FALSE FALSE
## [71,] FALSE FALSE FALSE FALSE
## [72,] FALSE FALSE FALSE FALSE
## [73,] FALSE FALSE FALSE FALSE
## [74,] FALSE FALSE FALSE FALSE
## [75,] FALSE FALSE FALSE FALSE
## [76,] FALSE FALSE FALSE FALSE
## [77,] FALSE FALSE FALSE FALSE
## [78,] FALSE FALSE FALSE FALSE
## [79,] FALSE FALSE FALSE FALSE
## [80,] FALSE FALSE FALSE FALSE
## [81,] FALSE FALSE FALSE FALSE
## [82,] FALSE FALSE FALSE FALSE
## [83,] FALSE FALSE FALSE FALSE
## [84,] FALSE FALSE FALSE FALSE
## [85,] FALSE FALSE FALSE FALSE
## [86,] FALSE FALSE FALSE FALSE
## [87,] FALSE FALSE FALSE FALSE
## [88,] FALSE FALSE FALSE FALSE
## [89,] FALSE FALSE FALSE FALSE
## [90,] FALSE FALSE FALSE FALSE
## [91,] FALSE FALSE FALSE FALSE
## [92,] FALSE FALSE FALSE FALSE
## [93,] FALSE FALSE FALSE FALSE
## [94,] FALSE FALSE FALSE FALSE
## [95,] FALSE FALSE FALSE FALSE
## [96,] FALSE FALSE FALSE FALSE
## [97,] FALSE FALSE FALSE FALSE
## [98,] FALSE FALSE FALSE FALSE
## [99,] FALSE FALSE FALSE FALSE
## [100,] FALSE FALSE FALSE FALSE
## [101,] FALSE FALSE FALSE FALSE
## [102,] FALSE FALSE FALSE FALSE
## [103,] FALSE FALSE FALSE FALSE
## [104,] FALSE FALSE FALSE FALSE
## [105,] FALSE FALSE FALSE FALSE
## [106,] FALSE FALSE FALSE FALSE
## [107,] FALSE FALSE FALSE FALSE
## [108,] FALSE FALSE FALSE FALSE
## [109,] FALSE FALSE FALSE FALSE
## [110,] FALSE FALSE FALSE FALSE
## [111,] FALSE FALSE FALSE FALSE
## [112,] FALSE FALSE FALSE FALSE
## [113,] FALSE FALSE FALSE FALSE
## [114,] FALSE FALSE FALSE FALSE
## [115,] FALSE FALSE FALSE FALSE
## [116,] FALSE FALSE FALSE FALSE
## [117,] FALSE FALSE FALSE FALSE
## [118,] FALSE FALSE FALSE FALSE
## [119,] FALSE FALSE FALSE FALSE
## [120,] FALSE FALSE FALSE FALSE
## [121,] FALSE FALSE FALSE FALSE
## [122,] FALSE FALSE FALSE FALSE
## [123,] FALSE FALSE FALSE FALSE
## [124,] FALSE FALSE FALSE FALSE
## [125,] FALSE FALSE FALSE FALSE
## [126,] FALSE FALSE FALSE FALSE
## [127,] FALSE FALSE FALSE FALSE
## [128,] FALSE FALSE FALSE FALSE
## [129,] FALSE FALSE FALSE FALSE
## [130,] FALSE FALSE FALSE FALSE
## [131,] FALSE FALSE FALSE FALSE
## [132,] FALSE FALSE FALSE FALSE
## [133,] FALSE FALSE FALSE FALSE
## [134,] FALSE FALSE FALSE FALSE
## [135,] FALSE FALSE FALSE FALSE
## [136,] FALSE FALSE FALSE FALSE
## [137,] FALSE FALSE FALSE FALSE
## [138,] FALSE FALSE FALSE FALSE
## [139,] FALSE FALSE FALSE FALSE
## [140,] FALSE FALSE FALSE FALSE
## [141,] FALSE FALSE FALSE FALSE
## [142,] FALSE FALSE FALSE FALSE
## [143,] FALSE FALSE FALSE FALSE
## [144,] FALSE FALSE FALSE FALSE
## [145,] FALSE FALSE FALSE FALSE
## [146,] FALSE FALSE FALSE FALSE
## [147,] FALSE FALSE FALSE FALSE
## [148,] FALSE FALSE FALSE FALSE
## [149,] FALSE FALSE FALSE FALSE
## [150,] FALSE FALSE FALSE FALSE
## [151,] FALSE FALSE FALSE FALSE
## [152,] FALSE FALSE FALSE FALSE
## [153,] FALSE FALSE FALSE FALSE
## [154,] FALSE FALSE FALSE FALSE
## [155,] FALSE FALSE FALSE FALSE
## [156,] FALSE FALSE FALSE FALSE
## [157,] FALSE FALSE FALSE FALSE
## [158,] FALSE FALSE FALSE FALSE
## [159,] FALSE FALSE FALSE FALSE
## [160,] FALSE FALSE FALSE FALSE
## [161,] FALSE FALSE FALSE FALSE
## [162,] FALSE FALSE FALSE FALSE
## [163,] FALSE FALSE FALSE FALSE
## [164,] FALSE FALSE FALSE FALSE
## [165,] FALSE FALSE FALSE FALSE
## [166,] FALSE FALSE FALSE FALSE
## [167,] FALSE FALSE FALSE FALSE
## [168,] FALSE FALSE FALSE FALSE
## [169,] FALSE FALSE FALSE FALSE
## [170,] FALSE FALSE FALSE FALSE
## [171,] FALSE FALSE FALSE FALSE
## [172,] FALSE FALSE FALSE FALSE
## [173,] FALSE FALSE FALSE FALSE
## [174,] FALSE FALSE FALSE FALSE
## [175,] FALSE FALSE FALSE FALSE
## [176,] FALSE FALSE FALSE FALSE
## [177,] FALSE FALSE FALSE FALSE
## [178,] FALSE FALSE FALSE FALSE
## [179,] FALSE FALSE FALSE FALSE
## [180,] FALSE FALSE FALSE FALSE
## [181,] FALSE FALSE FALSE FALSE
## [182,] FALSE FALSE FALSE FALSE
## [183,] FALSE FALSE FALSE FALSE
## [184,] FALSE FALSE FALSE FALSE
## [185,] FALSE FALSE FALSE FALSE
## [186,] FALSE FALSE FALSE FALSE
## [187,] FALSE FALSE FALSE FALSE
## [188,] FALSE FALSE FALSE FALSE
## [189,] FALSE FALSE FALSE FALSE
## [190,] FALSE FALSE FALSE FALSE
## [191,] FALSE FALSE FALSE FALSE
## [192,] FALSE FALSE FALSE FALSE
## [193,] FALSE FALSE FALSE FALSE
## [194,] FALSE FALSE FALSE FALSE
## [195,] FALSE FALSE FALSE FALSE
## [196,] FALSE FALSE FALSE FALSE
## [197,] FALSE FALSE FALSE FALSE
## [198,] FALSE FALSE FALSE FALSE
## [199,] FALSE FALSE FALSE FALSE
## [200,] FALSE FALSE FALSE FALSE
## [201,] FALSE FALSE FALSE FALSE
## [202,] FALSE FALSE FALSE FALSE
## [203,] FALSE FALSE FALSE FALSE
## [204,] FALSE FALSE FALSE FALSE
## [205,] FALSE FALSE FALSE FALSE
## [206,] FALSE FALSE FALSE FALSE
## [207,] FALSE FALSE FALSE FALSE
## [208,] FALSE FALSE FALSE FALSE
## [209,] FALSE FALSE FALSE FALSE
## [210,] FALSE FALSE FALSE FALSE
## [211,] FALSE FALSE FALSE FALSE
## [212,] FALSE FALSE FALSE FALSE
## [213,] FALSE FALSE FALSE FALSE
## [214,] FALSE FALSE FALSE FALSE
## [215,] FALSE FALSE FALSE FALSE
## [216,] FALSE FALSE FALSE FALSE
## [217,] FALSE FALSE FALSE FALSE
## [218,] FALSE FALSE FALSE FALSE
## [219,] FALSE FALSE FALSE FALSE
## [220,] FALSE FALSE FALSE FALSE
## [221,] FALSE FALSE FALSE FALSE
## [222,] FALSE FALSE FALSE FALSE
## [223,] FALSE FALSE FALSE FALSE
## [224,] FALSE FALSE FALSE FALSE
## [225,] FALSE FALSE FALSE FALSE
## [226,] FALSE FALSE FALSE FALSE
## [227,] FALSE FALSE FALSE FALSE
## [228,] FALSE FALSE FALSE FALSE
## [229,] FALSE FALSE FALSE FALSE
## [230,] FALSE FALSE FALSE FALSE
## [231,] FALSE FALSE FALSE FALSE
## [232,] FALSE FALSE FALSE FALSE
## [233,] FALSE FALSE FALSE FALSE
## [234,] FALSE FALSE FALSE FALSE
## [235,] FALSE FALSE FALSE FALSE
## [236,] FALSE FALSE FALSE FALSE
## [237,] FALSE FALSE FALSE FALSE
## [238,] FALSE FALSE FALSE FALSE
## [239,] FALSE FALSE FALSE FALSE
## [240,] FALSE FALSE FALSE FALSE
## [241,] FALSE FALSE FALSE FALSE
## [242,] FALSE FALSE FALSE FALSE
## [243,] FALSE FALSE FALSE FALSE
## [244,] FALSE FALSE FALSE FALSE
## [245,] FALSE FALSE FALSE FALSE
## [246,] FALSE FALSE FALSE FALSE
## [247,] FALSE FALSE FALSE FALSE
## [248,] FALSE FALSE FALSE FALSE
## [249,] FALSE FALSE FALSE FALSE
## [250,] FALSE FALSE FALSE FALSE
## [251,] FALSE FALSE FALSE FALSE
## [252,] FALSE FALSE FALSE FALSE
## [253,] FALSE FALSE FALSE FALSE
## [254,] FALSE FALSE FALSE FALSE
## [255,] FALSE FALSE FALSE FALSE
## [256,] FALSE FALSE FALSE FALSE
## [257,] FALSE FALSE FALSE FALSE
## [258,] FALSE FALSE FALSE FALSE
## [259,] FALSE FALSE FALSE FALSE
## [260,] FALSE FALSE FALSE FALSE
## [261,] FALSE FALSE FALSE FALSE
## [262,] FALSE FALSE FALSE FALSE
## [263,] FALSE FALSE FALSE FALSE
## [264,] FALSE FALSE FALSE FALSE
## [265,] FALSE FALSE FALSE FALSE
## [266,] FALSE FALSE FALSE FALSE
## [267,] FALSE FALSE FALSE FALSE
## [268,] FALSE FALSE FALSE FALSE
## [269,] FALSE FALSE FALSE FALSE
## [270,] FALSE FALSE FALSE FALSE
## [271,] FALSE FALSE FALSE FALSE
## [272,] FALSE FALSE FALSE FALSE
## [273,] FALSE FALSE FALSE FALSE
## [274,] FALSE FALSE FALSE FALSE
## [275,] FALSE FALSE FALSE FALSE
## [276,] FALSE FALSE FALSE FALSE
## [277,] FALSE FALSE FALSE FALSE
## [278,] FALSE FALSE FALSE FALSE
## [279,] FALSE FALSE FALSE FALSE
## [280,] FALSE FALSE FALSE FALSE
## [281,] FALSE FALSE FALSE FALSE
## [282,] FALSE FALSE FALSE FALSE
## [283,] FALSE FALSE FALSE FALSE
## [284,] FALSE FALSE FALSE FALSE
## [285,] FALSE FALSE FALSE FALSE
## [286,] FALSE FALSE FALSE FALSE
## [287,] FALSE FALSE FALSE FALSE
## [288,] FALSE FALSE FALSE FALSE
## [289,] FALSE FALSE FALSE FALSE
## [290,] FALSE FALSE FALSE FALSE
## [291,] FALSE FALSE FALSE FALSE
## [292,] FALSE FALSE FALSE FALSE
## [293,] FALSE FALSE FALSE FALSE
## [294,] FALSE FALSE FALSE FALSE
## [295,] FALSE FALSE FALSE FALSE
## [296,] FALSE FALSE FALSE FALSE
## [297,] FALSE FALSE FALSE FALSE
## [298,] FALSE FALSE FALSE FALSE
## [299,] FALSE FALSE FALSE FALSE
## [300,] FALSE FALSE FALSE FALSE
## [301,] FALSE FALSE FALSE FALSE
## [302,] FALSE FALSE FALSE FALSE
## [303,] FALSE FALSE FALSE FALSE
## [304,] FALSE FALSE FALSE FALSE
## [305,] FALSE FALSE FALSE FALSE
## [306,] FALSE FALSE FALSE FALSE
## [307,] FALSE FALSE FALSE FALSE
## [308,] FALSE FALSE FALSE FALSE
## [309,] FALSE FALSE FALSE FALSE
## [310,] FALSE FALSE FALSE FALSE
## [311,] FALSE FALSE FALSE FALSE
## [312,] FALSE FALSE FALSE FALSE
## [313,] FALSE FALSE FALSE FALSE
## [314,] FALSE FALSE FALSE FALSE
## [315,] FALSE FALSE FALSE FALSE
## [316,] FALSE FALSE FALSE FALSE
## [317,] FALSE FALSE FALSE FALSE
## [318,] FALSE FALSE FALSE FALSE
## [319,] FALSE FALSE FALSE FALSE
## [320,] FALSE FALSE FALSE FALSE
## [321,] FALSE FALSE FALSE FALSE
## [322,] FALSE FALSE FALSE FALSE
## [323,] FALSE FALSE FALSE FALSE
## [324,] FALSE FALSE FALSE FALSE
## [325,] FALSE FALSE FALSE FALSE
## [326,] FALSE FALSE FALSE FALSE
## [327,] FALSE FALSE FALSE FALSE
## [328,] FALSE FALSE FALSE FALSE
## [329,] FALSE FALSE FALSE FALSE
## [330,] FALSE FALSE FALSE FALSE
## [331,] FALSE FALSE FALSE FALSE
## [332,] FALSE FALSE FALSE FALSE
## [333,] FALSE FALSE FALSE FALSE
## [334,] FALSE FALSE FALSE FALSE
## [335,] FALSE FALSE FALSE FALSE
## [336,] FALSE FALSE FALSE FALSE
## [337,] FALSE FALSE FALSE FALSE
## [338,] FALSE FALSE FALSE FALSE
## [339,] FALSE FALSE FALSE FALSE
## [340,] FALSE FALSE FALSE FALSE
## [341,] FALSE FALSE FALSE FALSE
## [342,] FALSE FALSE FALSE FALSE
## [343,] FALSE FALSE FALSE FALSE
## [344,] FALSE FALSE FALSE FALSE
## [345,] FALSE FALSE FALSE FALSE
## [346,] FALSE FALSE FALSE FALSE
## [347,] FALSE FALSE FALSE FALSE
## [348,] FALSE FALSE FALSE FALSE
## [349,] FALSE FALSE FALSE FALSE
## [350,] FALSE FALSE FALSE FALSE
## [351,] FALSE FALSE FALSE FALSE
## [352,] FALSE FALSE FALSE FALSE
## [353,] FALSE FALSE FALSE FALSE
## [354,] FALSE FALSE FALSE FALSE
## [355,] FALSE FALSE FALSE FALSE
## [356,] FALSE FALSE FALSE FALSE
## [357,] FALSE FALSE FALSE FALSE
## [358,] FALSE FALSE FALSE FALSE
## [359,] FALSE FALSE FALSE FALSE
## [360,] FALSE FALSE FALSE FALSE
## [361,] FALSE FALSE FALSE FALSE
## [362,] FALSE FALSE FALSE FALSE
## [363,] FALSE FALSE FALSE FALSE
## [364,] FALSE FALSE FALSE FALSE
## [365,] FALSE FALSE FALSE FALSE
## [366,] FALSE FALSE FALSE FALSE
## [367,] FALSE FALSE FALSE FALSE
## [368,] FALSE FALSE FALSE FALSE
## [369,] FALSE FALSE FALSE FALSE
## [370,] FALSE FALSE FALSE FALSE
## [371,] FALSE FALSE FALSE FALSE
## [372,] FALSE FALSE FALSE FALSE
## [373,] FALSE FALSE FALSE FALSE
## [374,] FALSE FALSE FALSE FALSE
## [375,] FALSE FALSE FALSE FALSE
## [376,] FALSE FALSE FALSE FALSE
## [377,] FALSE FALSE FALSE FALSE
## [378,] FALSE FALSE FALSE FALSE
## [379,] FALSE FALSE FALSE FALSE
## [380,] FALSE FALSE FALSE FALSE
## [381,] FALSE FALSE FALSE FALSE
## [382,] FALSE FALSE FALSE FALSE
## [383,] FALSE FALSE FALSE FALSE
## [384,] FALSE FALSE FALSE FALSE
## [385,] FALSE FALSE FALSE FALSE
## [386,] FALSE FALSE FALSE FALSE
## [387,] FALSE FALSE FALSE FALSE
## [388,] FALSE FALSE FALSE FALSE
## [389,] FALSE FALSE FALSE FALSE
## [390,] FALSE FALSE FALSE FALSE
## [391,] FALSE FALSE FALSE FALSE
## [392,] FALSE FALSE FALSE FALSE
## [393,] FALSE FALSE FALSE FALSE
## [394,] FALSE FALSE FALSE FALSE
## [395,] FALSE FALSE FALSE FALSE
## [396,] FALSE FALSE FALSE FALSE
## [397,] FALSE FALSE FALSE FALSE
## [398,] FALSE FALSE FALSE FALSE
## [399,] FALSE FALSE FALSE FALSE
## [400,] FALSE FALSE FALSE FALSE
## [401,] FALSE FALSE FALSE FALSE
## [402,] FALSE FALSE FALSE FALSE
## [403,] FALSE FALSE FALSE FALSE
## [404,] FALSE FALSE FALSE FALSE
## [405,] FALSE FALSE FALSE FALSE
## [406,] FALSE FALSE FALSE FALSE
## [407,] FALSE FALSE FALSE FALSE
## [408,] FALSE FALSE FALSE FALSE
## [409,] FALSE FALSE FALSE FALSE
## [410,] FALSE FALSE FALSE FALSE
## [411,] FALSE FALSE FALSE FALSE
## [412,] FALSE FALSE FALSE FALSE
## [413,] FALSE FALSE FALSE FALSE
## [414,] FALSE FALSE FALSE FALSE
## [415,] FALSE FALSE FALSE FALSE
## [416,] FALSE FALSE FALSE FALSE
## [417,] FALSE FALSE FALSE FALSE
## [418,] FALSE FALSE FALSE FALSE
## [419,] FALSE FALSE FALSE FALSE
## [420,] FALSE FALSE FALSE FALSE
## [421,] FALSE FALSE FALSE FALSE
## [422,] FALSE FALSE FALSE FALSE
## [423,] FALSE FALSE FALSE FALSE
## [424,] FALSE FALSE FALSE FALSE
## [425,] FALSE FALSE FALSE FALSE
## [426,] FALSE FALSE FALSE FALSE
## [427,] FALSE FALSE FALSE FALSE
## [428,] FALSE FALSE FALSE FALSE
## [429,] FALSE FALSE FALSE FALSE
## [430,] FALSE FALSE FALSE FALSE
## [431,] FALSE FALSE FALSE FALSE
## [432,] FALSE FALSE FALSE FALSE
## [433,] FALSE FALSE FALSE FALSE
## [434,] FALSE FALSE FALSE FALSE
## [435,] FALSE FALSE FALSE FALSE
## [436,] FALSE FALSE FALSE FALSE
## [437,] FALSE FALSE FALSE FALSE
## [438,] FALSE FALSE FALSE FALSE
## [439,] FALSE FALSE FALSE FALSE
## [440,] FALSE FALSE FALSE FALSE
## [441,] FALSE FALSE FALSE FALSE
## [442,] FALSE FALSE FALSE FALSE
## [443,] FALSE FALSE FALSE FALSE
## [444,] FALSE FALSE FALSE FALSE
## [445,] FALSE FALSE FALSE FALSE
## [446,] FALSE FALSE FALSE FALSE
## [447,] FALSE FALSE FALSE FALSE
## [448,] FALSE FALSE FALSE FALSE
## [449,] FALSE FALSE FALSE FALSE
## [450,] FALSE FALSE FALSE FALSE
## [451,] FALSE FALSE FALSE FALSE
## [452,] FALSE FALSE FALSE FALSE
## [453,] FALSE FALSE FALSE FALSE
## [454,] FALSE FALSE FALSE FALSE
## [455,] FALSE FALSE FALSE FALSE
## [456,] FALSE FALSE FALSE FALSE
## [457,] FALSE FALSE FALSE FALSE
## [458,] FALSE FALSE FALSE FALSE
## [459,] FALSE FALSE FALSE FALSE
## [460,] FALSE FALSE FALSE FALSE
## [461,] FALSE FALSE FALSE FALSE
## [462,] FALSE FALSE FALSE FALSE
## [463,] FALSE FALSE FALSE FALSE
## [464,] FALSE FALSE FALSE FALSE
## [465,] FALSE FALSE FALSE FALSE
## [466,] FALSE FALSE FALSE FALSE
## [467,] FALSE FALSE FALSE FALSE
## [468,] FALSE FALSE FALSE FALSE
## [469,] FALSE FALSE FALSE FALSE
## [470,] FALSE FALSE FALSE FALSE
## [471,] FALSE FALSE FALSE FALSE
## [472,] FALSE FALSE FALSE FALSE
## [473,] FALSE FALSE FALSE FALSE
## [474,] FALSE FALSE FALSE FALSE
## [475,] FALSE FALSE FALSE FALSE
## [476,] FALSE FALSE FALSE FALSE
## [477,] FALSE FALSE FALSE FALSE
## [478,] FALSE FALSE FALSE FALSE
## [479,] FALSE FALSE FALSE FALSE
## [480,] FALSE FALSE FALSE FALSE
## [481,] FALSE FALSE FALSE FALSE
## [482,] FALSE FALSE FALSE FALSE
## [483,] FALSE FALSE FALSE FALSE
## [484,] FALSE FALSE FALSE FALSE
## [485,] FALSE FALSE FALSE FALSE
## [486,] FALSE FALSE FALSE FALSE
## [487,] FALSE FALSE FALSE FALSE
## [488,] FALSE FALSE FALSE FALSE
## [489,] FALSE FALSE FALSE FALSE
## [490,] FALSE FALSE FALSE FALSE
## [491,] FALSE FALSE FALSE FALSE
## [492,] FALSE FALSE FALSE FALSE
## [493,] FALSE FALSE FALSE FALSE
## [494,] FALSE FALSE FALSE FALSE
## [495,] FALSE FALSE FALSE FALSE
## [496,] FALSE FALSE FALSE FALSE
## [497,] FALSE FALSE FALSE FALSE
## [498,] FALSE FALSE FALSE FALSE
## [499,] FALSE FALSE FALSE FALSE
## [500,] FALSE FALSE FALSE FALSE
## [501,] FALSE FALSE FALSE FALSE
## [502,] FALSE FALSE FALSE FALSE
## [503,] FALSE FALSE FALSE FALSE
## [504,] FALSE FALSE FALSE FALSE
## [505,] FALSE FALSE FALSE FALSE
## [506,] FALSE FALSE FALSE FALSE
## [507,] FALSE FALSE FALSE FALSE
## [508,] FALSE FALSE FALSE FALSE
## [509,] FALSE FALSE FALSE FALSE
## [510,] FALSE FALSE FALSE FALSE
## [511,] FALSE FALSE FALSE FALSE
## [512,] FALSE FALSE FALSE FALSE
## [513,] FALSE FALSE FALSE FALSE
## [514,] FALSE FALSE FALSE FALSE
## [515,] FALSE FALSE FALSE FALSE
## [516,] FALSE FALSE FALSE FALSE
## [517,] FALSE FALSE FALSE FALSE
## [518,] FALSE FALSE FALSE FALSE
## [519,] FALSE FALSE FALSE FALSE
## [520,] FALSE FALSE FALSE FALSE
## [521,] FALSE FALSE FALSE FALSE
## [522,] FALSE FALSE FALSE FALSE
## [523,] FALSE FALSE FALSE FALSE
## [524,] FALSE FALSE FALSE FALSE
## [525,] FALSE FALSE FALSE FALSE
## [526,] FALSE FALSE FALSE FALSE
## [527,] FALSE FALSE FALSE FALSE
## [528,] FALSE FALSE FALSE FALSE
## [529,] FALSE FALSE FALSE FALSE
## [530,] FALSE FALSE FALSE FALSE
## [531,] FALSE FALSE FALSE FALSE
## [532,] FALSE FALSE FALSE FALSE
## [533,] FALSE FALSE FALSE FALSE
## [534,] FALSE FALSE FALSE FALSE
## [535,] FALSE FALSE FALSE FALSE
## [536,] FALSE FALSE FALSE FALSE
## [537,] FALSE FALSE FALSE FALSE
## [538,] FALSE FALSE FALSE FALSE
## [539,] FALSE FALSE FALSE FALSE
## [540,] FALSE FALSE FALSE FALSE
## [541,] FALSE FALSE FALSE FALSE
## [542,] FALSE FALSE FALSE FALSE
## [543,] FALSE FALSE FALSE FALSE
## [544,] FALSE FALSE FALSE FALSE
## [545,] FALSE FALSE FALSE FALSE
## [546,] FALSE FALSE FALSE FALSE
## [547,] FALSE FALSE FALSE FALSE
## [548,] FALSE FALSE FALSE FALSE
## [549,] FALSE FALSE FALSE FALSE
## [550,] FALSE FALSE FALSE FALSE
## [551,] FALSE FALSE FALSE FALSE
## [552,] FALSE FALSE FALSE FALSE
## [553,] FALSE FALSE FALSE FALSE
## [554,] FALSE FALSE FALSE FALSE
## [555,] FALSE FALSE FALSE FALSE
## [556,] FALSE FALSE FALSE FALSE
## [557,] FALSE FALSE FALSE FALSE
## [558,] FALSE FALSE FALSE FALSE
## [559,] FALSE FALSE FALSE FALSE
## [560,] FALSE FALSE FALSE FALSE
## [561,] FALSE FALSE FALSE FALSE
## [562,] FALSE FALSE FALSE FALSE
## [563,] FALSE FALSE FALSE FALSE
## [564,] FALSE FALSE FALSE FALSE
## [565,] FALSE FALSE FALSE FALSE
## [566,] FALSE FALSE FALSE FALSE
## [567,] FALSE FALSE FALSE FALSE
## [568,] FALSE FALSE FALSE FALSE
## [569,] FALSE FALSE FALSE FALSE
## [570,] FALSE FALSE FALSE FALSE
## [571,] FALSE FALSE FALSE FALSE
## [572,] FALSE FALSE FALSE FALSE
## [573,] FALSE FALSE FALSE FALSE
## [574,] FALSE FALSE FALSE FALSE
## [575,] FALSE FALSE FALSE FALSE
## [576,] FALSE FALSE FALSE FALSE
## [577,] FALSE FALSE FALSE FALSE
## [578,] FALSE FALSE FALSE FALSE
## [579,] FALSE FALSE FALSE FALSE
## [580,] FALSE FALSE FALSE FALSE
## [581,] FALSE FALSE FALSE FALSE
## [582,] FALSE FALSE FALSE FALSE
## [583,] FALSE FALSE FALSE FALSE
## [584,] FALSE FALSE FALSE FALSE
## [585,] FALSE FALSE FALSE FALSE
## [586,] FALSE FALSE FALSE FALSE
## [587,] FALSE FALSE FALSE FALSE
## [588,] FALSE FALSE FALSE FALSE
## [589,] FALSE FALSE FALSE FALSE
## [590,] FALSE FALSE FALSE FALSE
## [591,] FALSE FALSE FALSE FALSE
## [592,] FALSE FALSE FALSE FALSE
## [593,] FALSE FALSE FALSE FALSE
## [594,] FALSE FALSE FALSE FALSE
## [595,] FALSE FALSE FALSE FALSE
## [596,] FALSE FALSE FALSE FALSE
## [597,] FALSE FALSE FALSE FALSE
## [598,] FALSE FALSE FALSE FALSE
## [599,] FALSE FALSE FALSE FALSE
## [600,] FALSE FALSE FALSE FALSE
## [601,] FALSE FALSE FALSE FALSE
## [602,] FALSE FALSE FALSE FALSE
## [603,] FALSE FALSE FALSE FALSE
## [604,] FALSE FALSE FALSE FALSE
## [605,] FALSE FALSE FALSE FALSE
## [606,] FALSE FALSE FALSE FALSE
## [607,] FALSE FALSE FALSE FALSE
## [608,] FALSE FALSE FALSE FALSE
## [609,] FALSE FALSE FALSE FALSE
## [610,] FALSE FALSE FALSE FALSE
## [611,] FALSE FALSE FALSE FALSE
## [612,] FALSE FALSE FALSE FALSE
## [613,] FALSE FALSE FALSE FALSE
## [614,] FALSE FALSE FALSE FALSE
## [615,] FALSE FALSE FALSE FALSE
## [616,] FALSE FALSE FALSE FALSE
## [617,] FALSE FALSE FALSE FALSE
## [618,] FALSE FALSE FALSE FALSE
## [619,] FALSE FALSE FALSE FALSE
## [620,] FALSE FALSE FALSE FALSE
## [621,] FALSE FALSE FALSE FALSE
## [622,] FALSE FALSE FALSE FALSE
## [623,] FALSE FALSE FALSE FALSE
## [624,] FALSE FALSE FALSE FALSE
## [625,] FALSE FALSE FALSE FALSE
## [626,] FALSE FALSE FALSE FALSE
## [627,] FALSE FALSE FALSE FALSE
## [628,] FALSE FALSE FALSE FALSE
## [629,] FALSE FALSE FALSE FALSE
## [630,] FALSE FALSE FALSE FALSE
## [631,] FALSE FALSE FALSE FALSE
## [632,] FALSE FALSE FALSE FALSE
## [633,] FALSE FALSE FALSE FALSE
## [634,] FALSE FALSE FALSE FALSE
## [635,] FALSE FALSE FALSE FALSE
## [636,] FALSE FALSE FALSE FALSE
## [637,] FALSE FALSE FALSE FALSE
## [638,] FALSE FALSE FALSE FALSE
## [639,] FALSE FALSE FALSE FALSE
## [640,] FALSE FALSE FALSE FALSE
## [641,] FALSE FALSE FALSE FALSE
## [642,] FALSE FALSE FALSE FALSE
## [643,] FALSE FALSE FALSE FALSE
## [644,] FALSE FALSE FALSE FALSE
## [645,] FALSE FALSE FALSE FALSE
## [646,] FALSE FALSE FALSE FALSE
## [647,] FALSE FALSE FALSE FALSE
## [648,] FALSE FALSE FALSE FALSE
## [649,] FALSE FALSE FALSE FALSE
## [650,] FALSE FALSE FALSE FALSE
## [651,] FALSE FALSE FALSE FALSE
## [652,] FALSE FALSE FALSE FALSE
## [653,] FALSE FALSE FALSE FALSE
## [654,] FALSE FALSE FALSE FALSE
## [655,] FALSE FALSE FALSE FALSE
## [656,] FALSE FALSE FALSE FALSE
## [657,] FALSE FALSE FALSE FALSE
## [658,] FALSE FALSE FALSE FALSE
## [659,] FALSE FALSE FALSE FALSE
## [660,] FALSE FALSE FALSE FALSE
## [661,] FALSE FALSE FALSE FALSE
## [662,] FALSE FALSE FALSE FALSE
## [663,] FALSE FALSE FALSE FALSE
## [664,] FALSE FALSE FALSE FALSE
## [665,] FALSE FALSE FALSE FALSE
## [666,] FALSE FALSE FALSE FALSE
## [667,] FALSE FALSE FALSE FALSE
## [668,] FALSE FALSE FALSE FALSE
## [669,] FALSE FALSE FALSE FALSE
## [670,] FALSE FALSE FALSE FALSE
## [671,] FALSE FALSE FALSE FALSE
## [672,] FALSE FALSE FALSE FALSE
## [673,] FALSE FALSE FALSE FALSE
## [674,] FALSE FALSE FALSE FALSE
## [675,] FALSE FALSE FALSE FALSE
## [676,] FALSE FALSE FALSE FALSE
## [677,] FALSE FALSE FALSE FALSE
## [678,] FALSE FALSE FALSE FALSE
## [679,] FALSE FALSE FALSE FALSE
## [680,] FALSE FALSE FALSE FALSE
## [681,] FALSE FALSE FALSE FALSE
## [682,] FALSE FALSE FALSE FALSE
## [683,] FALSE FALSE FALSE FALSE
## [684,] FALSE FALSE FALSE FALSE
## [685,] FALSE FALSE FALSE FALSE
## [686,] FALSE FALSE FALSE FALSE
## [687,] FALSE FALSE FALSE FALSE
## [688,] FALSE FALSE FALSE FALSE
## [689,] FALSE FALSE FALSE FALSE
## [690,] FALSE FALSE FALSE FALSE
## [691,] FALSE FALSE FALSE FALSE
## [692,] FALSE FALSE FALSE FALSE
## [693,] FALSE FALSE FALSE FALSE
## [694,] FALSE FALSE FALSE FALSE
## [695,] FALSE FALSE FALSE FALSE
## [696,] FALSE FALSE FALSE FALSE
## [697,] FALSE FALSE FALSE FALSE
## [698,] FALSE FALSE FALSE FALSE
## [699,] FALSE FALSE FALSE FALSE
## [700,] FALSE FALSE FALSE FALSE
## [701,] FALSE FALSE FALSE FALSE
## [702,] FALSE FALSE FALSE FALSE
## [703,] FALSE FALSE FALSE FALSE
## [704,] FALSE FALSE FALSE FALSE
## [705,] FALSE FALSE FALSE FALSE
## [706,] FALSE FALSE FALSE FALSE
## [707,] FALSE FALSE FALSE FALSE
## [708,] FALSE FALSE FALSE FALSE
## [709,] FALSE FALSE FALSE FALSE
## [710,] FALSE FALSE FALSE FALSE
## [711,] FALSE FALSE FALSE FALSE
## [712,] FALSE FALSE FALSE FALSE
## [713,] FALSE FALSE FALSE FALSE
## [714,] FALSE FALSE FALSE FALSE
## [715,] FALSE FALSE FALSE FALSE
## [716,] FALSE FALSE FALSE FALSE
## [717,] FALSE FALSE FALSE FALSE
## [718,] FALSE FALSE FALSE FALSE
## [719,] FALSE FALSE FALSE FALSE
## [720,] FALSE FALSE FALSE FALSE
## [721,] FALSE FALSE FALSE FALSE
## [722,] FALSE FALSE FALSE FALSE
## [723,] FALSE FALSE FALSE FALSE
## [724,] FALSE FALSE FALSE FALSE
## [725,] FALSE FALSE FALSE FALSE
## [726,] FALSE FALSE FALSE FALSE
## [727,] FALSE FALSE FALSE FALSE
## [728,] FALSE FALSE FALSE FALSE
## [729,] FALSE FALSE FALSE FALSE
## [730,] FALSE FALSE FALSE FALSE
## [731,] FALSE FALSE FALSE FALSE
## [732,] FALSE FALSE FALSE FALSE
## [733,] FALSE FALSE FALSE FALSE
## [734,] FALSE FALSE FALSE FALSE
## [735,] FALSE FALSE FALSE FALSE
## [736,] FALSE FALSE FALSE FALSE
## [737,] FALSE FALSE FALSE FALSE
## [738,] FALSE FALSE FALSE FALSE
## [739,] FALSE FALSE FALSE FALSE
## [740,] FALSE FALSE FALSE FALSE
## [741,] FALSE FALSE FALSE FALSE
## [742,] FALSE FALSE FALSE FALSE
## [743,] FALSE FALSE FALSE FALSE
## [744,] FALSE FALSE FALSE FALSE
## [745,] FALSE FALSE FALSE FALSE
## [746,] FALSE FALSE FALSE FALSE
## [747,] FALSE FALSE FALSE FALSE
## [748,] FALSE FALSE FALSE FALSE
## [749,] FALSE FALSE FALSE FALSE
## [750,] FALSE FALSE FALSE FALSE
## [751,] FALSE FALSE FALSE FALSE
## [752,] FALSE FALSE FALSE FALSE
## [753,] FALSE FALSE FALSE FALSE
## [754,] FALSE FALSE FALSE FALSE
## [755,] FALSE FALSE FALSE FALSE
## [756,] FALSE FALSE FALSE FALSE
## [757,] FALSE FALSE FALSE FALSE
## [758,] FALSE FALSE FALSE FALSE
## [759,] FALSE FALSE FALSE FALSE
## [760,] FALSE FALSE FALSE FALSE
## [761,] FALSE FALSE FALSE FALSE
## [762,] FALSE FALSE FALSE FALSE
## [763,] FALSE FALSE FALSE FALSE
## [764,] FALSE FALSE FALSE FALSE
## [765,] FALSE FALSE FALSE FALSE
## [766,] FALSE FALSE FALSE FALSE
## [767,] FALSE FALSE FALSE FALSE
## [768,] FALSE FALSE FALSE FALSE
## [769,] FALSE FALSE FALSE FALSE
## [770,] FALSE FALSE FALSE FALSE
## [771,] FALSE FALSE FALSE FALSE
## [772,] FALSE FALSE FALSE FALSE
## [773,] FALSE FALSE FALSE FALSE
## [774,] FALSE FALSE FALSE FALSE
## [775,] FALSE FALSE FALSE FALSE
## [776,] FALSE FALSE FALSE FALSE
## [777,] FALSE FALSE FALSE FALSE
## [778,] FALSE FALSE FALSE FALSE
## [779,] FALSE FALSE FALSE FALSE
## [780,] FALSE FALSE FALSE FALSE
## [781,] FALSE FALSE FALSE FALSE
## [782,] FALSE FALSE FALSE FALSE
## [783,] FALSE FALSE FALSE FALSE
## [784,] FALSE FALSE FALSE FALSE
## [785,] FALSE FALSE FALSE FALSE
## [786,] FALSE FALSE FALSE FALSE
## [787,] FALSE FALSE FALSE FALSE
## [788,] FALSE FALSE FALSE FALSE
## [789,] FALSE FALSE FALSE FALSE
## [790,] FALSE FALSE FALSE FALSE
## [791,] FALSE FALSE FALSE FALSE
## [792,] FALSE FALSE FALSE FALSE
## [793,] FALSE FALSE FALSE FALSE
## [794,] FALSE FALSE FALSE FALSE
## [795,] FALSE FALSE FALSE FALSE
## [796,] FALSE FALSE FALSE FALSE
## [797,] FALSE FALSE FALSE FALSE
## [798,] FALSE FALSE FALSE FALSE
## [799,] FALSE FALSE FALSE FALSE
## [800,] FALSE FALSE FALSE FALSE
## [801,] FALSE FALSE FALSE FALSE
## [802,] FALSE FALSE FALSE FALSE
## [803,] FALSE FALSE FALSE FALSE
## [804,] FALSE FALSE FALSE FALSE
## [805,] FALSE FALSE FALSE FALSE
## [806,] FALSE FALSE FALSE FALSE
## [807,] FALSE FALSE FALSE FALSE
## [808,] FALSE FALSE FALSE FALSE
## [809,] FALSE FALSE FALSE FALSE
## [810,] FALSE FALSE FALSE FALSE
## [811,] FALSE FALSE FALSE FALSE
## [812,] FALSE FALSE FALSE FALSE
## [813,] FALSE FALSE FALSE FALSE
## [814,] FALSE FALSE FALSE FALSE
## [815,] FALSE FALSE FALSE FALSE
## [816,] FALSE FALSE FALSE FALSE
## [817,] FALSE FALSE FALSE FALSE
## [818,] FALSE FALSE FALSE FALSE
## [819,] FALSE FALSE FALSE FALSE
## [820,] FALSE FALSE FALSE FALSE
## [821,] FALSE FALSE FALSE FALSE
## [822,] FALSE FALSE FALSE FALSE
## [823,] FALSE FALSE FALSE FALSE
## [824,] FALSE FALSE FALSE FALSE
## [825,] FALSE FALSE FALSE FALSE
## [826,] FALSE FALSE FALSE FALSE
## [827,] FALSE FALSE FALSE FALSE
## [828,] FALSE FALSE FALSE FALSE
## [829,] FALSE FALSE FALSE FALSE
## [830,] FALSE FALSE FALSE FALSE
## [831,] FALSE FALSE FALSE FALSE
## [832,] FALSE FALSE FALSE FALSE
## [833,] FALSE FALSE FALSE FALSE
## [834,] FALSE FALSE FALSE FALSE
## [835,] FALSE FALSE FALSE FALSE
## [836,] FALSE FALSE FALSE FALSE
## [837,] FALSE FALSE FALSE FALSE
## [838,] FALSE FALSE FALSE FALSE
## [839,] FALSE FALSE FALSE FALSE
## [840,] FALSE FALSE FALSE FALSE
## [841,] FALSE FALSE FALSE FALSE
## [842,] FALSE FALSE FALSE FALSE
## [843,] FALSE FALSE FALSE FALSE
## [844,] FALSE FALSE FALSE FALSE
## [845,] FALSE FALSE FALSE FALSE
## [846,] FALSE FALSE FALSE FALSE
## [847,] FALSE FALSE FALSE FALSE
## [848,] FALSE FALSE FALSE FALSE
## [849,] FALSE FALSE FALSE FALSE
## [850,] FALSE FALSE FALSE FALSE
## [851,] FALSE FALSE FALSE FALSE
## [852,] FALSE FALSE FALSE FALSE
## [853,] FALSE FALSE FALSE FALSE
## [854,] FALSE FALSE FALSE FALSE
## [855,] FALSE FALSE FALSE FALSE
## [856,] FALSE FALSE FALSE FALSE
## [857,] FALSE FALSE FALSE FALSE
## [858,] FALSE FALSE FALSE FALSE
## [859,] FALSE FALSE FALSE FALSE
## [860,] FALSE FALSE FALSE FALSE
## [861,] FALSE FALSE FALSE FALSE
## [862,] FALSE FALSE FALSE FALSE
## [863,] FALSE FALSE FALSE FALSE
## [864,] FALSE FALSE FALSE FALSE
## [865,] FALSE FALSE FALSE FALSE
## [866,] FALSE FALSE FALSE FALSE
## [867,] FALSE FALSE FALSE FALSE
## [868,] FALSE FALSE FALSE FALSE
## [869,] FALSE FALSE FALSE FALSE
## [870,] FALSE FALSE FALSE FALSE
## [871,] FALSE FALSE FALSE FALSE
## [872,] FALSE FALSE FALSE FALSE
## [873,] FALSE FALSE FALSE FALSE
## [874,] FALSE FALSE FALSE FALSE
## [875,] FALSE FALSE FALSE FALSE
## [876,] FALSE FALSE FALSE FALSE
## [877,] FALSE FALSE FALSE FALSE
## [878,] FALSE FALSE FALSE FALSE
## [879,] FALSE FALSE FALSE FALSE
## [880,] FALSE FALSE FALSE FALSE
## [881,] FALSE FALSE FALSE FALSE
## [882,] FALSE FALSE FALSE FALSE
## [883,] FALSE FALSE FALSE FALSE
## [884,] FALSE FALSE FALSE FALSE
## [885,] FALSE FALSE FALSE FALSE
## [886,] FALSE FALSE FALSE FALSE
## [887,] FALSE FALSE FALSE FALSE
## [888,] FALSE FALSE FALSE FALSE
## [889,] FALSE FALSE FALSE FALSE
## [890,] FALSE FALSE FALSE FALSE
## [891,] FALSE FALSE FALSE FALSE
## [892,] FALSE FALSE FALSE FALSE
## [893,] FALSE FALSE FALSE FALSE
## [894,] FALSE FALSE FALSE FALSE
## [895,] FALSE FALSE FALSE FALSE
## [896,] FALSE FALSE FALSE FALSE
## [897,] FALSE FALSE FALSE FALSE
## [898,] FALSE FALSE FALSE FALSE
## [899,] FALSE FALSE FALSE FALSE
## [900,] FALSE FALSE FALSE FALSE
## [901,] FALSE FALSE FALSE FALSE
## [902,] FALSE FALSE FALSE FALSE
## [903,] FALSE FALSE FALSE FALSE
## [904,] FALSE FALSE FALSE FALSE
## [905,] FALSE FALSE FALSE FALSE
## [906,] FALSE FALSE FALSE FALSE
## [907,] FALSE FALSE FALSE FALSE
## [908,] FALSE FALSE FALSE FALSE
## [909,] FALSE FALSE FALSE FALSE
## [910,] FALSE FALSE FALSE FALSE
## [911,] FALSE FALSE FALSE FALSE
## [912,] FALSE FALSE FALSE FALSE
## [913,] FALSE FALSE FALSE FALSE
## [914,] FALSE FALSE FALSE FALSE
## [915,] FALSE FALSE FALSE FALSE
## [916,] FALSE FALSE FALSE FALSE
## [917,] FALSE FALSE FALSE FALSE
## [918,] FALSE FALSE FALSE FALSE
## [919,] FALSE FALSE FALSE FALSE
## [920,] FALSE FALSE FALSE FALSE
## [921,] FALSE FALSE FALSE FALSE
## [922,] FALSE FALSE FALSE FALSE
## [923,] FALSE FALSE FALSE FALSE
## [924,] FALSE FALSE FALSE FALSE
## [925,] FALSE FALSE FALSE FALSE
## [926,] FALSE FALSE FALSE FALSE
## [927,] FALSE FALSE FALSE FALSE
## [928,] FALSE FALSE FALSE FALSE
## [929,] FALSE FALSE FALSE FALSE
## [930,] FALSE FALSE FALSE FALSE
## [931,] FALSE FALSE FALSE FALSE
## [932,] FALSE FALSE FALSE FALSE
## [933,] FALSE FALSE FALSE FALSE
## [934,] FALSE FALSE FALSE FALSE
## [935,] FALSE FALSE FALSE FALSE
## [936,] FALSE FALSE FALSE FALSE
## [937,] FALSE FALSE FALSE FALSE
## [938,] FALSE FALSE FALSE FALSE
## [939,] FALSE FALSE FALSE FALSE
## [940,] FALSE FALSE FALSE FALSE
## [941,] FALSE FALSE FALSE FALSE
## [942,] FALSE FALSE FALSE FALSE
## [943,] FALSE FALSE FALSE FALSE
## [944,] FALSE FALSE FALSE FALSE
## [945,] FALSE FALSE FALSE FALSE
## [946,] FALSE FALSE FALSE FALSE
## [947,] FALSE FALSE FALSE FALSE
## [948,] FALSE FALSE FALSE FALSE
## [949,] FALSE FALSE FALSE FALSE
## [950,] FALSE FALSE FALSE FALSE
## [951,] FALSE FALSE FALSE FALSE
## [952,] FALSE FALSE FALSE FALSE
## [953,] FALSE FALSE FALSE FALSE
## [954,] FALSE FALSE FALSE FALSE
## [955,] FALSE FALSE FALSE FALSE
## [956,] FALSE FALSE FALSE FALSE
## [957,] FALSE FALSE FALSE FALSE
## [958,] FALSE FALSE FALSE FALSE
## [959,] FALSE FALSE FALSE FALSE
## [960,] FALSE FALSE FALSE FALSE
## [961,] FALSE FALSE FALSE FALSE
## [962,] FALSE FALSE FALSE FALSE
## [963,] FALSE FALSE FALSE FALSE
## [964,] FALSE FALSE FALSE FALSE
## [965,] FALSE FALSE FALSE FALSE
## [966,] FALSE FALSE FALSE FALSE
## [967,] FALSE FALSE FALSE FALSE
## [968,] FALSE FALSE FALSE FALSE
## [969,] FALSE FALSE FALSE FALSE
## [970,] FALSE FALSE FALSE FALSE
## [971,] FALSE FALSE FALSE FALSE
## [972,] FALSE FALSE FALSE FALSE
## [973,] FALSE FALSE FALSE FALSE
## [974,] FALSE FALSE FALSE FALSE
## [975,] FALSE FALSE FALSE FALSE
## [976,] FALSE FALSE FALSE FALSE
## [977,] FALSE FALSE FALSE FALSE
## [978,] FALSE FALSE FALSE FALSE
## [979,] FALSE FALSE FALSE FALSE
## [980,] FALSE FALSE FALSE FALSE
## [981,] FALSE FALSE FALSE FALSE
## [982,] FALSE FALSE FALSE FALSE
## [983,] FALSE FALSE FALSE FALSE
## [984,] FALSE FALSE FALSE FALSE
## [985,] FALSE FALSE FALSE FALSE
## [986,] FALSE FALSE FALSE FALSE
## [987,] FALSE FALSE FALSE FALSE
## [988,] FALSE FALSE FALSE FALSE
## [989,] FALSE FALSE FALSE FALSE
## [990,] FALSE FALSE FALSE FALSE
## [991,] FALSE FALSE FALSE FALSE
## [992,] FALSE FALSE FALSE FALSE
## [993,] FALSE FALSE FALSE FALSE
## [994,] FALSE FALSE FALSE FALSE
## [995,] FALSE FALSE FALSE FALSE
## [996,] FALSE FALSE FALSE FALSE
## [997,] FALSE FALSE FALSE FALSE
## [998,] FALSE FALSE FALSE FALSE
## [999,] FALSE FALSE FALSE FALSE
## [1000,] FALSE FALSE FALSE FALSE
## [1001,] FALSE FALSE FALSE FALSE
## [1002,] FALSE FALSE FALSE FALSE
## [1003,] FALSE FALSE FALSE FALSE
sum(is.na(bo))
## [1] 0
which(is.na(bo))
## integer(0)
a <- bo[10,6]
a
## [1] "India"
b <- bo[,3]
b
## [1] "T-Series"
## [2] "SET India"
## [3] "Cocomelon - Nursery Rhymes"
## [4] "MrBeast"
## [5] "PewDiePie"
## [6] "✿ Kids Diana Show"
## [7] "Like Nastya"
## [8] "WWE"
## [9] "Vlad and Niki"
## [10] "Zee Music Company"
## [11] "BLACKPINK"
## [12] "Goldmines"
## [13] "5-Minute Crafts"
## [14] "Sony SAB"
## [15] "BANGTANTV"
## [16] "HYBE LABELS"
## [17] "Canal KondZilla"
## [18] "Zee TV"
## [19] "Shemaroo Filmi Gaane"
## [20] "Pinkfong Baby Shark - Kids' Songs & Stories"
## [21] "ChuChu TV Nursery Rhymes & Kids Songs"
## [22] "Dude Perfect"
## [23] "Movieclips"
## [24] "Colors TV"
## [25] "Marshmello"
## [26] "T-Series Bhakti Sagar"
## [27] "Tips Official"
## [28] "Wave Music"
## [29] "Aaj Tak"
## [30] "Sony Music India"
## [31] "El Reino Infantil"
## [32] "Ed Sheeran"
## [33] "LooLoo Kids - Nursery Rhymes and Children's Songs"
## [34] "Taylor Swift"
## [35] "YRF"
## [36] "BillionSurpriseToys - English Kids Songs & Cartoon"
## [37] "Infobells - Hindi"
## [38] "JuegaGerman"
## [39] "Badabun"
## [40] "Felipe Neto"
## [41] "BRIGHT SIDE"
## [42] "Você Sabia?"
## [43] "SonyMusicIndiaVEVO"
## [44] "Katy Perry"
## [45] "Get Movies"
## [46] "Alan Walker"
## [47] "A4"
## [48] "Shemaroo"
## [49] "Like Nastya Show"
## [50] "ABS-CBN Entertainment"
## [51] "Voot Kids"
## [52] "Speed Records"
## [53] "Little Baby Bum - Nursery Rhymes & Kids Songs"
## [54] "Luisito Comunica"
## [55] "Маша и Медведь"
## [56] "Shakira"
## [57] "Kimberly Loaiza"
## [58] "Ishtar Music"
## [59] "LUCCAS NETO - LUCCAS TOON"
## [60] "TheEllenShow"
## [61] "GR6 EXPLODE"
## [62] "XXXTENTACION"
## [63] "Toys and Colors"
## [64] "WorkpointOfficial"
## [65] "Masha and The Bear"
## [66] "ARY Digital HD"
## [67] "CarryMinati"
## [68] "Daddy Yankee"
## [69] "shfa2 - شفا"
## [70] "TEDx Talks"
## [71] "shfa"
## [72] "Super Simple Songs - Kids Songs"
## [73] "Jkk Entertainment"
## [74] "Mikecrack"
## [75] "Ozuna"
## [76] "Goldmines Gaane Sune Ansune"
## [77] "ช่อง one31"
## [78] "Like Nastya ESP"
## [79] "Ultra Bollywood"
## [80] "HAR PAL GEO"
## [81] "Maria Clara & JP"
## [82] "ABP NEWS"
## [83] "Sony PAL"
## [84] "Total Gaming"
## [85] "YouTube"
## [86] "Markiplier"
## [87] "Ryan's World"
## [88] "VEGETTA777"
## [89] "Geet MP3"
## [90] "T-Series Apna Punjab"
## [91] "La Granja de Zenón"
## [92] "NoCopyrightSounds"
## [93] "IndiaTV"
## [94] "SSSniperWolf"
## [95] "KHANDESHI MOVIES"
## [96] "Ch3Thailand"
## [97] "Vlad và Nikita"
## [98] "Selena Gomez"
## [99] "Bollywood Classics"
## [100] "Eros Now Music"
## [101] "GENIAL"
## [102] "PowerKids TV"
## [103] "Rajshri"
## [104] "Saregama Music"
## [105] "Mr Bean"
## [106] "SMTOWN"
## [107] "BabyBus - Kids Songs and Cartoons"
## [108] "DisneyMusicVEVO"
## [109] "Ricis Official"
## [110] "Trap Nation"
## [111] "The Tonight Show Starring Jimmy Fallon"
## [112] "rezendeevil"
## [113] "AH"
## [114] "Techno Gamerz"
## [115] "Worldwide Records Bhojpuri"
## [116] "Spinnin' Records"
## [117] "ImagineDragons"
## [118] "Peppa Pig - Official Channel"
## [119] "MR. INDIAN HACKER"
## [120] "Wow Kidz"
## [121] "Ultra Records"
## [122] "Maluma"
## [123] "Genevieve's Playhouse - Learning Videos for Kids"
## [124] "jacksepticeye"
## [125] "GMANetwork"
## [126] "قناة طيور الجنة | toyoraljanahtv"
## [127] "DONA 도나"
## [128] "KAROL G"
## [129] "Talking Tom"
## [130] "Little Angel: Nursery Rhymes & Kids Songs"
## [131] "Zee News"
## [132] "Diana and Roma ESP"
## [133] "The Late Late Show with James Corden"
## [134] "व्लाद और निकिता"
## [135] "Lucas and Marcus"
## [136] "TheDonato"
## [137] "infobells - Tamil"
## [138] "AboFlah"
## [139] "Aditya Music"
## [140] "Wiz Khalifa"
## [141] "Bounce Patrol - Kids Songs"
## [142] "Michael Jackson"
## [143] "infobells - Telugu"
## [144] "enchufetv"
## [145] "DanTDM"
## [146] "toycantando"
## [147] "Sandeep Maheshwari"
## [148] "WORLDSTARHIPHOP"
## [149] "JYP Entertainment"
## [150] "Renato Garcia"
## [151] "VanossGaming"
## [152] "Nick Jr."
## [153] "Goldmines Dishoom"
## [154] "1MILLION Dance Studio"
## [155] "LosPolinesios"
## [156] "Aditya Movies"
## [157] "Marília Mendonça"
## [158] "Beyoncé"
## [159] "Masha y el Oso"
## [160] "Raffy Tulfo in Action"
## [161] "RihannaVEVO"
## [162] "Netflix"
## [163] "Jess No Limit"
## [164] "Las Ratitas"
## [165] "Smosh"
## [166] "WatchMojo.com"
## [167] "Crazy XYZ"
## [168] "Post Malone"
## [169] "David Guetta"
## [170] "Shemaroo Movies"
## [171] "Rans Entertainment"
## [172] "Amit Bhadana"
## [173] "1theK (원더케이)"
## [174] "Chloe Ting"
## [175] "Enaldinho"
## [176] "Coldplay"
## [177] "Diana and Roma HIN"
## [178] "Chris Brown"
## [179] "TRANS7 OFFICIAL"
## [180] "Goldmines Bollywood"
## [181] "Ninja"
## [182] "ABPLIVE"
## [183] "James Charles"
## [184] "HUM TV"
## [185] "Logan Paul"
## [186] "Happy Lives"
## [187] "Enrique Iglesias"
## [188] "Troom Troom"
## [189] "NickyJamTV"
## [190] "netd müzik"
## [191] "Mister Max"
## [192] "WB Kids"
## [193] "Tina Pontes"
## [194] "Jelly"
## [195] "Anuel AA"
## [196] "Sesame Street"
## [197] "The Lallantop"
## [198] "Like Nastya AE"
## [199] "Frost Diamond"
## [200] "MrBeast en Español"
## [201] "D Billions"
## [202] "Mark Rober"
## [203] "Venus Movies"
## [204] "Miss Katy"
## [205] "DrossRotzank"
## [206] "America's Got Talent"
## [207] "Technical Guruji"
## [208] "Diana and Roma ARA"
## [209] "GMM GRAMMY OFFICIAL"
## [210] "Smile Family"
## [211] "Goldmines Movies"
## [212] "TED"
## [213] "Peppa Pig Español Latino - Canal Oficial"
## [214] "mmoshaya"
## [215] "White Hill Music"
## [216] "Wave Music Bhojpuri"
## [217] "Sia"
## [218] "Pen Movies"
## [219] "Brent Rivera"
## [220] "FaZe Rug"
## [221] "Paulo Londra"
## [222] "StarPlus"
## [223] "Preston"
## [224] "BabyBus - Canciones Infantiles & Videos para Niños"
## [225] "Juan De Dios Pantoja"
## [226] "shfa show India"
## [227] "Like Nastya PRT"
## [228] "Charlie Puth"
## [229] "SSundee"
## [230] "★ Kids Roma Show"
## [231] "Goldmines Cineplex"
## [232] "LankyBox"
## [233] "FGTeeV"
## [234] "Tasty"
## [235] "Ultra Movie Parlour"
## [236] "National Geographic"
## [237] "5-Minute Crafts DIY"
## [238] "Baim Paula"
## [239] "Kids TV - Nursery Rhymes And Baby Songs"
## [240] "Canal Canalha"
## [241] "Disney Latinoamérica"
## [242] "Beast Reacts"
## [243] "Brave Wilderness"
## [244] "Rotana"
## [245] "Vlad and Niki Arabic"
## [246] "Zhong"
## [247] "Alan Becker"
## [248] "Jake Paul"
## [249] "Diana and Roma EN"
## [250] "toyorbabytv"
## [251] "BuzzFeedVideo"
## [252] "Tlnovelas"
## [253] "LazarBeam"
## [254] "GMA Public Affairs"
## [255] "Dr. Vivek Bindra: Motivational Speaker"
## [256] "Kinder Spielzeug Kanal"
## [257] "Netflix India"
## [258] "AuthenticGames"
## [259] "SlivkiShow"
## [260] "Totoy kids - Português"
## [261] "5-Minute Crafts PLAY"
## [262] "REACT"
## [263] "Vevo"
## [264] "HaerteTest"
## [265] "Pencilmation"
## [266] "Romeo Santos"
## [267] "Mnet K-POP"
## [268] "Pentatonix"
## [269] "Sun TV"
## [270] "Marvel Entertainment"
## [271] "Eva Bravo Play"
## [272] "Fatos Desconhecidos"
## [273] "Deddy Corbuzier"
## [274] "Noor Stars"
## [275] "Got Talent Global"
## [276] "Infinite"
## [277] "Kurzgesagt – In a Nutshell"
## [278] "Dushyant kukreja"
## [279] "invictor"
## [280] "Gordon Ramsay"
## [281] "Gusttavo Lima Oficial"
## [282] "Vania Mania Kids"
## [283] "Robin Hood Gamer"
## [284] "NBA"
## [285] "Troom Troom Es"
## [286] "Alejo Igoa"
## [287] "Clash of Clans"
## [288] "The Royalty Family"
## [289] "Kids Channel India - Hindi Rhymes and Baby Songs"
## [290] "DLS News"
## [291] "BabyBus - Cerita & Lagu Anak-anak"
## [292] "AS Gaming"
## [293] "Crafty Panda"
## [294] "Green Gold TV - Official Channel"
## [295] "Maya and Mary"
## [296] "Britain's Got Talent"
## [297] "TRT Originals Urdu"
## [298] "YOLO AVENTURAS"
## [299] "Jimmy Kimmel Live"
## [300] "NichLmao"
## [301] "Sonotek"
## [302] "Heidi & Zidane बच्चों की कहानियाँ"
## [303] "The ACE Family"
## [304] "Junya Official Channel"
## [305] "Official Pink Panther"
## [306] "CookieSwirlC"
## [307] "MiawAug"
## [308] "Sourav Joshi Vlogs"
## [309] "Emiway Bantai"
## [310] "TheWillyrex"
## [311] "ElTrollino"
## [312] "Village Cooking Channel"
## [313] "TheOdd1sOut"
## [314] "HiMan"
## [315] "KBS WORLD TV"
## [316] "Turma da Mônica"
## [317] "Vlad and Niki IDN"
## [318] "Dan-Sa / Daniel Saboya"
## [319] "SCTV"
## [320] "PDK Films"
## [321] "Farruko"
## [322] "Rafa & Luiz"
## [323] "Unbox Therapy"
## [324] "Vsauce"
## [325] "DUDU e CAROL"
## [326] "INCRÍVEL"
## [327] "GEN HALILINTAR"
## [328] "etvteluguindia"
## [329] "Like Nastya Vlog"
## [330] "Naisa Alifia Yuriza (N.A.Y)"
## [331] "Vijay Television"
## [332] "Marmok"
## [333] "RsiamMusic : อาร์สยาม"
## [334] "Kiddiestv Hindi - Nursery Rhymes & Kids Songs"
## [335] "Познаватель"
## [336] "Good Mythical Morning"
## [337] "Little Angel Español - Canciones Infantiles"
## [338] "Ali-A"
## [339] "TED-Ed"
## [340] "7clouds"
## [341] "TheGrefg"
## [342] "Mother Goose Club Playhouse"
## [343] "Sebastián Yatra"
## [344] "JFlaMusic"
## [345] "Masha e o Urso"
## [346] "SQUEEZIE"
## [347] "FactTechz"
## [348] "SOMOY TV"
## [349] "SUPER SLICK SLIME SAM"
## [350] "RobleisIUTU"
## [351] "Grammy Gold Official"
## [352] "Porta dos Fundos"
## [353] "RKD Studios"
## [354] "Sony AATH"
## [355] "Stubborn Facts"
## [356] "Stokes Twins"
## [357] "شبكة العاب العرب | Arab Games Network"
## [358] "Manual do Mundo"
## [359] "Dhar Mann"
## [360] "Triggered Insaan"
## [361] "Shemaroo Comedy"
## [362] "Willyrex"
## [363] "Sidemen"
## [364] "Goldmines Great Indian Comedy"
## [365] "Fede Vigevani"
## [366] "EeOneGuy"
## [367] "Jane ASMR 제인"
## [368] "الـريماس - Al-Remas"
## [369] "IGN"
## [370] "Jason Derulo"
## [371] "SonyMusicSouthVEVO"
## [372] "Guava Juice"
## [373] "Anitta"
## [374] "tanboy kun"
## [375] "Zuni and Family"
## [376] "zbing z."
## [377] "Smile Family Spanish"
## [378] "Apple"
## [379] "TheBrianMaps"
## [380] "Tu COSMOPOLIS"
## [381] "Dangal TV Channel"
## [382] "Katie Angel"
## [383] "LIV Crime"
## [384] "Prajapati News"
## [385] "Blippi - Educational Videos for Kids"
## [386] "DeToxoMoroxo"
## [387] "Bizarrap"
## [388] "Queen Official"
## [389] "IDEAS EN 5 MINUTOS"
## [390] "News24"
## [391] "The Game Theorists"
## [392] "VICE"
## [393] "TRANS TV Official"
## [394] "Les' Copaque Production"
## [395] "Sandra Cires Art"
## [396] "ExtraPolinesios"
## [397] "Marques Brownlee"
## [398] "El Reino a Jugar"
## [399] "AMARINTV : อมรินทร์ทีวี"
## [400] "Jason Vlogs"
## [401] "Kaykai Salaider"
## [402] "And TV"
## [403] "FailArmy"
## [404] "Aayu and Pihu Show"
## [405] "JJ Olatunji"
## [406] "Zappy Toons - Hindi Nursery Rhymes and Stories"
## [407] "Ivana Alawi"
## [408] "Boyce Avenue"
## [409] "Alan Chikin Chow"
## [410] "Like Nastya VNM"
## [411] "Pop Chartbusters"
## [412] "Matt Stonie"
## [413] "Pitbull"
## [414] "DopeLyrics"
## [415] "Jennifer Lopez"
## [416] "Kids Play"
## [417] "FunFun Toy Doll TV"
## [418] "Wow Kidz Action"
## [419] "Enes Batur"
## [420] "AdMe"
## [421] "Gato Galactico | GALÁXIA"
## [422] "Busy Fun Ltd"
## [423] "Rotten Tomatoes Trailers"
## [424] "RCTI - LAYAR DRAMA INDONESIA"
## [425] "FitDance"
## [426] "Like Nastya IDN"
## [427] "Dyland PROS"
## [428] "wifistudy"
## [429] "With Kids[위드키즈]"
## [430] "Lahari Music | T-Series"
## [431] "SriBalajiMovies"
## [432] "Zach Choi ASMR"
## [433] "SAM SMITH"
## [434] "Roman Atwood Vlogs"
## [435] "T3ddy"
## [436] "Vlad and Niki ESP"
## [437] "Fun For Kids TV - Hindi Rhymes"
## [438] "GMMTV OFFICIAL"
## [439] "News18 India"
## [440] "Ch7HD"
## [441] "Plim Plim - Kids Songs & Episodes - Spanish"
## [442] "POPS Kids"
## [443] "LOKESH GAMER"
## [444] "Kerajinan 5-Menit"
## [445] "LEGO"
## [446] "SelenaGomezVEVO"
## [447] "BBC News Hindi"
## [448] "NDTV India"
## [449] "La Rosa de Guadalupe"
## [450] "NMF News"
## [451] "Henrique e Juliano"
## [452] "5-Minute Crafts FAMILY"
## [453] "Oyuncak Avı"
## [454] "Sagawa /さがわ"
## [455] "Volga Video"
## [456] "MK MUSIC"
## [457] "TheRichest"
## [458] "Super Senya"
## [459] "Talking Tom & Friends"
## [460] "حِرف إبداعية في 5 دقائق"
## [461] "Thairath Online"
## [462] "Makiman131"
## [463] "Linus Tech Tips"
## [464] "Niana Guerrero"
## [465] "Mariale"
## [466] "Ranz Kyle"
## [467] "Дима Масленников"
## [468] "TWICE"
## [469] "League of Legends"
## [470] "Team Films Bhojpuri"
## [471] "Bollywood Classics"
## [472] "Aphmau"
## [473] "Zach King"
## [474] "Dave and Ava - Nursery Rhymes and Baby Songs"
## [475] "Pragati Verma Shorts"
## [476] "Daftar Populer"
## [477] "Lachlan"
## [478] "Unspeakable"
## [479] "Zé Neto e Cristiano"
## [480] "ERB"
## [481] "Kwebbelkop"
## [482] "Mobile Legends: Bang Bang Official"
## [483] "Arif muhammad"
## [484] "Johny FamilyShow"
## [485] "Totoy kids - Español"
## [486] "Jorge & Mateus Oficial"
## [487] "iTownGamePlay *Terror&Diversión*"
## [488] "It's Mamix"
## [489] "Major Lazer Official"
## [490] "Planeta das Gêmeas"
## [491] "MSA previously My Story Animated"
## [492] "Blippi Español"
## [493] "LEGENDA FUNK"
## [494] "XpressTV"
## [495] "حقائق وأسرار"
## [496] "IDEIAS INCRÍVEIS"
## [497] "Fueled By Ramen"
## [498] "Taarak Mehta Ka Ooltah Chashmah"
## [499] "MattyBRaps"
## [500] "CollegeHumor"
## [501] "Lilly Singh"
## [502] "Zee Music Classic"
## [503] "PlayStation"
## [504] "CNN"
## [505] "UFC - Ultimate Fighting Championship"
## [506] "Genierock"
## [507] "Canal Nostalgia"
## [508] "Drawblogs"
## [509] "ABS-CBN News"
## [510] "Ajay Sharma"
## [511] "Gyan Gamingㅤ"
## [512] "Daily Dose Of Internet"
## [513] "انصالة فاميلي I أنس و أصالة"
## [514] "Boram Tube ToysReview [보람튜브 토이리뷰]"
## [515] "Super Polina"
## [516] "Chad Wild Clay"
## [517] "Martin Garrix"
## [518] "MY FAMILY"
## [519] "Kuplinov ► Play"
## [520] "O Canal do Joãozinho - Little Angel Português"
## [521] "ช่อง8 : Thai Ch8"
## [522] "A2 Motivation by Arvind Arora"
## [523] "EdisonPts"
## [524] "Hongyu ASMR 홍유"
## [525] "Трум Трум"
## [526] "FC Barcelona"
## [527] "Invento na Hora"
## [528] "DM - Desi Melodies"
## [529] "Camila Loures"
## [530] "Vlad and Niki ARA"
## [531] "Lyna"
## [532] "CrashCourse"
## [533] "Trap City"
## [534] "Mazhavil Manorama"
## [535] "Мастерская Настроения"
## [536] "Doc Tops"
## [537] "How Ridiculous"
## [538] "#Refugio Mental"
## [539] "5-Minute Crafts Recycle"
## [540] "MNCTV OFFICIAL"
## [541] "Dear Sir"
## [542] "Mis Pastelitos"
## [543] "Auron"
## [544] "Bie The Ska"
## [545] "AM3NlC"
## [546] "F2Freestylers - Ultimate Soccer Skills Channel"
## [547] "NikkieTutorials"
## [548] "Rosanna Pansino"
## [549] "Aadishakti Films"
## [550] "DangMattSmith"
## [551] "GMM25Thailand"
## [552] "ABC News"
## [553] "Zig & Sharko"
## [554] "The MriDul"
## [555] "Yoeslan"
## [556] "SRK MUSIC"
## [557] "ГЛЕНТ"
## [558] "Darkar Company Studios"
## [559] "NOBRU"
## [560] "Katakit Baby TV"
## [561] "TazerCraft"
## [562] "MAIKI021"
## [563] "Telemundo"
## [564] "Like Nastya Stories"
## [565] "Wish 107.5"
## [566] "ZEE5"
## [567] "Bispo Bruno Leonardo"
## [568] "Wengie"
## [569] "Coke Studio"
## [570] "T-Series Hamaar Bhojpuri"
## [571] "Wesley Safadão"
## [572] "PlayHard"
## [573] "KOMPASTV"
## [574] "Infobells Bangla"
## [575] "Narins Beauty"
## [576] "TV Ana Emilia"
## [577] "Jordan Matter"
## [578] "O Reino Infantil"
## [579] "FAPTV"
## [580] "PrestonPlayz"
## [581] "Lindsey Stirling"
## [582] "The World Adventures हिन्दी"
## [583] "123 GO! Spanish"
## [584] "BBC News"
## [585] "Disney Junior"
## [586] "Online Job"
## [587] "ETV Jabardasth"
## [588] "MyMissAnand"
## [589] "AzzyLand"
## [590] "Ben Azelart"
## [591] "Sony Music South"
## [592] "PowerfulJRE"
## [593] "Anaysa"
## [594] "H2ODelirious"
## [595] "Desi Gamers"
## [596] "Juliana Baltar"
## [597] "Zeinab Harake"
## [598] "StudyIQ IAS"
## [599] "Narendra Modi"
## [600] "The Q"
## [601] "theRadBrad"
## [602] "Поззи"
## [603] "Conor Maynard"
## [604] "NishaMadhulika"
## [605] "LeoNata Family"
## [606] "T-Series Regional"
## [607] "The LaBrant Fam"
## [608] "Saturday Night Live"
## [609] "Rebecca Zamolo"
## [610] "Alex Gonzaga Official"
## [611] "Jazzghost"
## [612] "Everson Zoio"
## [613] "Zee Telugu"
## [614] "أترو/Atro"
## [615] "BBC"
## [616] "Matt Steffanina"
## [617] "ATHLEAN-X™"
## [618] "ماشا و الدب"
## [619] "Typical Gamer"
## [620] "RedeTV"
## [621] "Lady Diana"
## [622] "Crescendo com Luluca"
## [623] "O Que Não Dizer Oficial"
## [624] "VexTrex"
## [625] "Ei Nerd"
## [626] "Hacksmith"
## [627] "JOJO TV - Hindi Stories"
## [628] "karameeshchannel"
## [629] "Brawl Stars"
## [630] "Jamuna TV"
## [631] "MrSuicideSheep"
## [632] "Meghan Trainor"
## [633] "Danny Fitt"
## [634] "DJ Khaled"
## [635] "Think Music India"
## [636] "BUDI01 GAMING"
## [637] "Come Play With Me"
## [638] "Top Viral Talent"
## [639] "Goldmines Premiere"
## [640] "#Refúgio Mental"
## [641] "gymvirtual"
## [642] "Netflix Jr."
## [643] "Zee Bangla"
## [644] "Awakening Music"
## [645] "BIBO와 장난감"
## [646] "Kabita's Kitchen"
## [647] "Sony LIV"
## [648] "Knowledge Tv हिन्दी"
## [649] "Mythpat"
## [650] "Peppa Pig em Português Brasil - Canal Oficial"
## [651] "Health Time"
## [652] "Blockbuster Movies"
## [653] "JesseAndMike"
## [654] "DeGoBooM"
## [655] "Blossom"
## [656] "My Mate Nate"
## [657] "Mrwhosetheboss"
## [658] "GMA News"
## [659] "Codiscos"
## [660] "Kids TV India Hindi Nursery Rhymes"
## [661] "Melon City Show - برنامج ولاية بطيخ"
## [662] "RS 1313 SHORTS"
## [663] "Adexe & Nau"
## [664] "The Dodo"
## [665] "TKOR"
## [666] "Trakin Tech"
## [667] "FIFA"
## [668] "The Infographics Show"
## [669] "CaseyNeistat"
## [670] "Compot"
## [671] "KOYA with"
## [672] "Piuzinho"
## [673] "Colors Rishtey"
## [674] "Parafernalha"
## [675] "Troom Troom India"
## [676] "Geo News"
## [677] "Sonotek Bhakti"
## [678] "E-MasterSensei"
## [679] "elliegoulding"
## [680] "RaptorGamer"
## [681] "Vlad and Niki PRT"
## [682] "LOUD"
## [683] "TV9 Bharatvarsh"
## [684] "Talking Angela"
## [685] "Technology Gyan"
## [686] "Yudist Ardhana"
## [687] "Troom Troom PT"
## [688] "Gibby :)"
## [689] "Little Baby Bum en Español"
## [690] "People Vs Food"
## [691] "Indore Physical Academy"
## [692] "Future"
## [693] "HZHtube Kids Fun"
## [694] "Just For Laughs Gags"
## [695] "Vogue"
## [696] "Jass Records"
## [697] "DisneyChannelUK"
## [698] "WiederDude"
## [699] "NDTV"
## [700] "Más SKabeche"
## [701] "Republic Bharat"
## [702] "Rauw Alejandro"
## [703] "CHHOTU KI MASTI"
## [704] "Луномосик"
## [705] "Bela Bagunça"
## [706] "Wave Music Bhakti"
## [707] "웃웃TwinsFromRussia"
## [708] "Akon"
## [709] "BanderitaX"
## [710] "dednahype"
## [711] "DaniRep | +6 Vídeos Diarios De GTA 5 Online!"
## [712] "Luli Pampín"
## [713] "Avril Lavigne"
## [714] "Troom Troom Indonesia"
## [715] "Panda"
## [716] "Ice Cream Rolls"
## [717] "Yair17"
## [718] "123 GO!"
## [719] "Planet Earth INDIA"
## [720] "Lulu99"
## [721] "YoungBoy Never Broke Again"
## [722] "Timba Vk"
## [723] "Влад и Никита"
## [724] "Duo Tiempo De Sol"
## [725] "infobells - Kannada"
## [726] "colinfurze"
## [727] "Natti Natasha"
## [728] "emma chamberlain"
## [729] "Nat and Essie"
## [730] "Mor Haryanvi"
## [731] "El Trece"
## [732] "TsMadaan"
## [733] "KaKa Kids TV - Nursery Rhymes Kids Animated Songs"
## [734] "CNCO"
## [735] "Koo Koo TV - Hindi"
## [736] "Kluna Tik"
## [737] "Black Eyed Peas"
## [738] "Rubius Z"
## [739] "Hero Movies 2022"
## [740] "MBC مصر"
## [741] "EU FICO LOKO"
## [742] "MrGear"
## [743] "Tfue"
## [744] "MC Divertida"
## [745] "First We Feast"
## [746] "MORGENSHTERN"
## [747] "Quantum Tech HD"
## [748] "Heidi y Zidane"
## [749] "Pastor Antônio Júnior"
## [750] "Free Fire India Official"
## [751] "P!NK"
## [752] "SBT"
## [753] "Маша та Ведмідь"
## [754] "Acenix"
## [755] "GoldminesAction"
## [756] "FrontaL Gaming"
## [757] "Wild 'N Out"
## [758] "Garena Free Fire LATAM"
## [759] "Franco Escamilla"
## [760] "penguinz0"
## [761] "Diana and Roma IND"
## [762] "Single Track Studio"
## [763] "Pari's Lifestyle"
## [764] "TWO SIDE GAMERS"
## [765] "bharatzkitchen HINDI"
## [766] "AlArabiya العربية"
## [767] "الجانب المُشرق | Bright Side Arabic"
## [768] "Lil Wayne"
## [769] "CrazyRussianHacker"
## [770] "Flowers Comedy"
## [771] "LipaoGamer"
## [772] "Lofi Girl"
## [773] "Biper y sus Amigos"
## [774] "POCOYÓ en ESPAÑOL - Canal Oficial"
## [775] "Jaiden Animations"
## [776] "Annoying Orange"
## [777] "BBC Earth"
## [778] "Kendrick Lamar"
## [779] "Morgz"
## [780] "CarryisLive"
## [781] "Vy Qwaint"
## [782] "ExpCaseros"
## [783] "The Viral Fever"
## [784] "Flamingo"
## [785] "ToysPlay"
## [786] "The Film Theorists"
## [787] "Maymo"
## [788] "Wassabi"
## [789] "Star Casablanca | نجوم الدار البيضاء"
## [790] "UnspeakableReacts"
## [791] "Taylor RS"
## [792] "Fortnite"
## [793] "قناة وناسة - Wanasah TV"
## [794] "Cut"
## [795] "Sen, Momo, Ai & Shii's Channel"
## [796] "CaptainSparklez"
## [797] "El Rincón De Giorgio"
## [798] "MyLifeAsEva"
## [799] "Zee Tamil"
## [800] "Inside Edition"
## [801] "luzugames"
## [802] "Nirahua Music World"
## [803] "BakLol Video"
## [804] "Avocado Couple I Crazy Comics"
## [805] "Virgínia Fonseca"
## [806] "Brancoala"
## [807] "ARY News"
## [808] "Ya - Alisa"
## [809] "Koray Zeynep"
## [810] "Magic Five"
## [811] "Rachit Rojha"
## [812] "AlJazeera Arabic قناة الجزيرة"
## [813] "Gustavo Paródias"
## [814] "SagaHits"
## [815] "Comedy Central"
## [816] "Genius"
## [817] "Oum Walid"
## [818] "Morphle TV"
## [819] "SEVENGERS"
## [820] "Stray Kids"
## [821] "Mundo Bita"
## [822] "OGGY"
## [823] "LIKE! English"
## [824] "DemolitionRanch"
## [825] "Kênh Thiếu Nhi - BHMEDIA"
## [826] "Chotoonz TV - Funny Cartoons for Kids"
## [827] "Barbie"
## [828] "Jessica Jane"
## [829] "Dobre Brothers"
## [830] "OYUNCAKOYNUYORUM"
## [831] "Viih Tube"
## [832] "Telugu Filmnagar"
## [833] "설기양SULGI"
## [834] "Zee Kids"
## [835] "Sanjoy Das Official"
## [836] "BE AMAZED"
## [837] "Games EduUu"
## [838] "Lycoman Facts"
## [839] "NEXT9NEWS हर खबर आप तक"
## [840] "NASA"
## [841] "Painzeiro"
## [842] "hasanjr11"
## [843] "HISTORY"
## [844] "JP Plays"
## [845] "RDC Gujarati"
## [846] "BIBO и Игрушки"
## [847] "СТС"
## [848] "Levinho"
## [849] "핑크퐁 (인기 동요・동화)"
## [850] "ExplosmEntertainment"
## [851] "Hueva"
## [852] "Pen Multiplex"
## [853] "Slogo"
## [854] "Ryan Trahan"
## [855] "Vox"
## [856] "Peppa Pig Hindi"
## [857] "HikakinTV"
## [858] "Milena Stepanienco - MILENINHA"
## [859] "Rathore Cassettes"
## [860] "Anne-Marie"
## [861] "Juanpa Zurita"
## [862] "Videogyan Nursery Rhymes - Kids Songs & Cartoons"
## [863] "5-Minute Crafts LIKE"
## [864] "Golemcito Games"
## [865] "Troom Troom Arabic"
## [866] "Wamindia Movies"
## [867] "THE BROWN SIBLINGS"
## [868] "KiKiDo"
## [869] "Woody & Kleiny"
## [870] "Área Secreta"
## [871] "Sadhguru"
## [872] "Mussoumano"
## [873] "Caso Cerrado"
## [874] "Experienced Mojaraba TV"
## [875] "GIMS"
## [876] "Joe HaTTab"
## [877] "Goldmines Housefull"
## [878] "Miranda Sings"
## [879] "Red Bull"
## [880] "ChuChuTV Hindi"
## [881] "Times Music"
## [882] "Dental Digest"
## [883] "DRJ Records Specials"
## [884] "Deji"
## [885] "Pina Records"
## [886] "Warner Bros. Pictures"
## [887] "Google"
## [888] "DuDuPopTOY"
## [889] "Kids smile TV"
## [890] "Entertainment with Musa"
## [891] "Primitive Technology"
## [892] "TikTak Draw"
## [893] "Talent Recap"
## [894] "Airrack"
## [895] "[햄지]Hamzy"
## [896] "stampylonghead"
## [897] "Alexa Rivera"
## [898] "Utkarsh Classes Jodhpur"
## [899] "Vlad y Nikita Show"
## [900] "Magnet World"
## [901] "Hindi Fairy Tales"
## [902] "Jesse"
## [903] "Family Box"
## [904] "The Noite com Danilo Gentili"
## [905] "Craftingeek"
## [906] "Pinkfong en español - Canciones Infantiles"
## [907] "Franciny Ehlke"
## [908] "AdamThomasMoran"
## [909] "GoPro"
## [910] "Chill Nation"
## [911] "MTV"
## [912] "Toymong tv 토이몽TV"
## [913] "BBC News عربي"
## [914] "atv"
## [915] "Теремок ТВ"
## [916] "Minecraft"
## [917] "Comedy Captain"
## [918] "Eli Kids - Cartoons & Songs"
## [919] "Stone Music Entertainment"
## [920] "BehindwoodsTV"
## [921] "Rawan and Rayan"
## [922] "Cris Devil Gamer"
## [923] "GeorgeNotFound"
## [924] "GNP Music"
## [925] "Hindi Kahaniya"
## [926] "CS Bisht Vines"
## [927] "Willie Salim"
## [928] "Farjana Drawing Academy"
## [929] "Heroine Movies 2022"
## [930] "Tanner Fox"
## [931] "Viki Show"
## [932] "Receitas de Pai"
## [933] "Doctor Mike"
## [934] "Lorrayne Oliveira"
## [935] "Oneindia Hindi | वनइंडिया हिंदी"
## [936] "Sing King"
## [937] "Little Angel Bahasa Indonesia - Lagu Anak"
## [938] "Adriana Show"
## [939] "Patty Mayo"
## [940] "João Caetano"
## [941] "5-Minute Recipes"
## [942] "Playing with Rafael"
## [943] "Shemaroo Bhakti"
## [944] "TwinRoozi 쌍둥이 루지"
## [945] "Baby Big Mouth Kids - Sing, Dance, Explore"
## [946] "SaraBeautyCorner - DIY, Comedy, Makeup, Nail Art"
## [947] "Tomorrowland"
## [948] "EugenBro"
## [949] "Hi-Tech Islamic Naat"
## [950] "서은일상이야기"
## [951] "XO TEAM"
## [952] "Теремок - Песенки для детей"
## [953] "AsapSCIENCE"
## [954] "Jugnu Kids - Nursery Rhymes and Best Baby Songs"
## [955] "The Daily Show with Trevor Noah"
## [956] "SpriteDer SPD"
## [957] "はじめしゃちょー(hajime)"
## [958] "VYRLOriginals"
## [959] "Prime Video India"
## [960] "Heera Gold"
## [961] "Clean Bandit"
## [962] "Survival Builder"
## [963] "Hindi Countdown"
## [964] "Sanam"
## [965] "Salman Noman"
## [966] "TopMovieClips"
## [967] "SiaVEVO"
## [968] "Islam Populer"
## [969] "Topper Guild"
## [970] "Anand Audio"
## [971] "Wylsacom"
## [972] "SONU SHARMA"
## [973] "Supercar Blondie"
## [974] "Laurinha e Helena - Clubinho da Laura"
## [975] "T-STUDIO"
## [976] "Orkun Işıtmak"
## [977] "123 GO! Hindi"
## [978] "Dalas Review"
## [979] "NH Studioz"
## [980] "NFL"
## [981] "ChuChuTV Español"
## [982] "Sơn Tùng M-TP Official"
## [983] "Vie Channel - HTV2"
## [984] "Luan Palomera"
## [985] "Roshan Zindagi"
## [986] "Eagle Home Entertainments"
## [987] "مصطفى GAME OVER"
## [988] "GadgetIn"
## [989] "RUOK"
## [990] "Sab Kuchh Sekho Jano"
## [991] "Harpreet SDC"
## [992] "Fox News"
## [993] "Santa Fe Klan Official"
## [994] "Boram Tube Show"
## [995] "Diana and Roma PRT"
## [996] "SULE PRODUCTIONS"
## [997] "Dynamo Gaming"
## [998] "يوميات واحد عراقي | One Iraqi Diary"
## [999] "Classic Mr Bean"
## [1000] "Anupam Movie Songs"
## [1001] "Anand Audio"
## [1002] "Wylsacom"
## [1003] "Eagle Home Entertainments"
c <- bo[11,]
c
## s.no Youtube.channel youtuber.name Category Followers Country
## 11 11 BLACKPINK BLACKPINK Music & Dance 82.8M United States
## X.Views..Avg.. Likes..Avg.. Comments..Avg.. Category.2
## 11 1.8M 297.3K 4.5K
bo1 <- bo[,c(2,3)]
bo1
## Youtube.channel
## 1 tseries
## 2 setindia
## 3 checkgate
## 4 MrBeast
## 5 PewDiePie
## 6 ✿ Kids Diana Show
## 7 Like Nastya
## 8 WWEFanNation
## 9 Vlad and Niki
## 10 zeemusiccompany
## 11 BLACKPINK
## 12 GoldminesTelefilms
## 13 5-Minute Crafts
## 14 sabtv
## 15 BANGTANTV
## 16 ibighit
## 17 KondZilla
## 18 zeetv
## 19 filmigaane
## 20 SmartBooksMedia
## 21 ChuChu TV Nursery Rhymes & Kids Songs
## 22 dudeperfect
## 23 movieclips
## 24 colorstv
## 25 Marshmello
## 26 tseriesbhakti
## 27 tipsofficial
## 28 BHOJPURIWAVE
## 29 aajtak
## 30 sonymusicindiaSME
## 31 ReinoMariaElenaWalsh
## 32 EdSheeran
## 33 LooLooKids
## 34 taylorswift
## 35 yrf
## 36 BillionSurpriseToys - English Kids Songs & Cartoon
## 37 infobellshindirhymes
## 38 JuegaGerman
## 39 Badabun
## 40 felipeneto
## 41 BRIGHT SIDE
## 42 vcsabiavideos
## 43 sonymusicindiaVEVO
## 44 KatyPerryMusic
## 45 getmovies
## 46 DjWalkzz
## 47 A4
## 48 ShemarooEnt
## 49 Like Nastya Show
## 50 ABSCBNOnline
## 51 Voot Kids
## 52 speedrecordss
## 53 LittleBabyBum
## 54 LuisitoComunicaa
## 55 MashaMedvedTV
## 56 Shakira
## 57 KimberlyLoaiza
## 58 venus
## 59 luccasneto
## 60 TheEllenShow
## 61 gr6explode
## 62 XXXTENTACION
## 63 toysandcolors
## 64 WorkpointOfficial
## 65 MashaBearEN
## 66 ARY Digital HD
## 67 AddictedA1
## 68 DaddyYankeeOFFTV
## 69 shfa2 - شفا
## 70 TEDxTalks
## 71 shfa
## 72 SuperSimpleSongs
## 73 Jkk Entertainment
## 74 Mikecrack
## 75 Ozuna
## 76 Goldmines Gaane Sune Ansune
## 77 gmmonetv
## 78 Like Nastya ESP
## 79 UltraHindi
## 80 harpalgeo
## 81 Maria Clara & JP
## 82 abpnewstv
## 83 sonypalindia
## 84 TotalGaming093
## 85 YouTube
## 86 markiplierGAME
## 87 Ryan's World
## 88 vegetta777
## 89 Geet MP3
## 90 tseriesapnapunjab
## 91 LaGranjaDeZenon
## 92 NoCopyrightSounds
## 93 IndiaTV
## 94 SSSniperWolf
## 95 KHANDESHI MOVIES
## 96 Ch3Thailand
## 97 Vlad và Nikita
## 98 selenagomez
## 99 tseriesoldisgold
## 100 erosentertainment
## 101 GENIAL
## 102 PowerKidstv
## 103 rajshri
## 104 SongsOfIndianCinema
## 105 MrBean
## 106 SMTOWN
## 107 babybus
## 108 DisneyMusicVEVO
## 109 Ricis Official
## 110 AllTrapNation
## 111 latenight
## 112 rezendeevil
## 113 AttaHalilintar
## 114 Techno Gamerz
## 115 WWRBhojpuri
## 116 SpinninRec
## 117 ImagineDragons
## 118 theofficialpeppa
## 119 MR. INDIAN HACKER
## 120 Wow Kidz
## 121 UltraRecords
## 122 Maluma
## 123 Genevieve's Playhouse - Learning Videos for Kids
## 124 jacksepticeye
## 125 GMANETWORK
## 126 toyoraljanahtv
## 127 DONA 도나
## 128 Karolgmusic
## 129 TalkingTomCat
## 130 Little Angel: Nursery Rhymes & Kids Songs
## 131 zeenews
## 132 Diana and Roma ESP
## 133 TheLateLateShow
## 134 व्लाद और निकिता
## 135 TwiNboTzVids
## 136 TheDonato
## 137 infobellstamil
## 138 AboFlah
## 139 adityamusic
## 140 taylorgangent
## 141 Bounce Patrol - Kids Songs
## 142 michaeljackson
## 143 infobellstelugu
## 144 enchufetv
## 145 TheDiamondMinecart
## 146 toycantando
## 147 Sandeep Maheshwari
## 148 WorldStarHipHopTV
## 149 jypentertainment
## 150 xSkyHeLLxx
## 151 VanossGaming
## 152 nickelodeonjuniorfr
## 153 Goldmines Dishoom
## 154 1MILLION Dance Studio
## 155 LosPolinesios
## 156 adityamovies
## 157 mariliamendoncareal
## 158 beyonce
## 159 MashaOso
## 160 Raffy Tulfo in Action
## 161 RihannaVEVO
## 162 NewOnNetflix
## 163 Jess No Limit
## 164 RatitasPandilleras
## 165 smosh
## 166 WatchMojo
## 167 Crazy XYZ
## 168 postmalone
## 169 davidguettavevo
## 170 shemaroomovies
## 171 Rans Entertainment
## 172 Amit Bhadana
## 173 LOENENT
## 174 Chloe Ting
## 175 TheEnaldinhO
## 176 ColdplayVEVO
## 177 Diana and Roma HIN
## 178 ChrisBrownTV
## 179 TRANS7indonesia
## 180 Goldmines Bollywood
## 181 NinjasHyper
## 182 ABPLIVE
## 183 JamesCharles
## 184 HumNetwork
## 185 Logan Paul
## 186 Happy Lives
## 187 EnriqueIglesiasPlay
## 188 Troom Troom
## 189 NickyJamTV
## 190 netdmuzikk
## 191 Mister Max
## 192 WB Kids
## 193 mildicasdemulher
## 194 JellyYT
## 195 Anuel AA
## 196 SesameStreet
## 197 The Lallantop
## 198 likenastyaae
## 199 Frost Diamond
## 200 MrBeast en Español
## 201 D Billions
## 202 onemeeeliondollars
## 203 VenusMovies
## 204 Miss Katy
## 205 DrossRotzank
## 206 AmericasGotTalent
## 207 Technical Guruji
## 208 Diana and Roma ARA
## 209 gmmgrammyofficial
## 210 Smile Family
## 211 goldmineshindi
## 212 TED
## 213 PeppaLatinoAmericano
## 214 mmoshaya
## 215 WHBBP
## 216 WaveMusicBhojpuri
## 217 sia
## 218 PenIndiaPvtLimited
## 219 Brent Rivera
## 220 oRugrat
## 221 Paulo Londra
## 222 starplus
## 223 PrestonPlayz
## 224 BabyBus - Canciones Infantiles & Videos para Niños
## 225 Juan De Dios Pantoja
## 226 shfa show India
## 227 Like Nastya PRT
## 228 CharliesVlogs
## 229 SSundee
## 230 ★ Kids Roma Show
## 231 Goldmines Cineplex
## 232 LankyBox
## 233 FGTeeV
## 234 Tasty
## 235 UltraMovieParlour
## 236 NationalGeographic
## 237 5-Minute Crafts DIY
## 238 Baim Paula
## 239 Kids TV - Nursery Rhymes And Baby Songs
## 240 CanalCanalha
## 241 DisneyChannelLA
## 242 BeastReacts
## 243 Brave Wilderness
## 244 RotanaAudio
## 245 Vlad and Niki Arabic
## 246 Zhong
## 247 Alan Becker
## 248 JakePaulProductions
## 249 TheElenaYa
## 250 toyorbabytv
## 251 BuzzFeedVideo
## 252 TelenovelaTelevisa
## 253 LazarBeam
## 254 gmapublicaffairs
## 255 MrVivekBindra
## 256 Kinder Spielzeug Kanal
## 257 NetflixIndiaOfficial
## 258 AuthenticGames
## 259 SlivkiChanel
## 260 Totoy kids - Português
## 261 5-Minute Crafts PLAY
## 262 TheFineBros
## 263 VEVO
## 264 HaerteTest
## 265 pencilmation
## 266 romeo
## 267 Mnet
## 268 PTXofficial
## 269 Sun TV
## 270 MARVEL
## 271 Eva Bravo Play
## 272 fatosdesconhecidos
## 273 corbuzier
## 274 Noor Stars
## 275 gottalentglobal
## 276 Infinite
## 277 Kurzgesagt
## 278 Dushyant kukreja
## 279 invictorgs3
## 280 gordonramsay
## 281 Gusttavo Lima Oficial
## 282 Vania Mania Kids
## 283 RobinHoodGamer1
## 284 NBA
## 285 TroomTroom_Es
## 286 AlejoIgoa
## 287 OfficialClashOfClans
## 288 The Royalty Family
## 289 Kids Channel India - Hindi Rhymes and Baby Songs
## 290 DLSNews
## 291 BabyBus - Cerita & Lagu Anak-anak
## 292 AS Gaming
## 293 Crafty Panda
## 294 greengoldtv
## 295 Maya and Mary
## 296 BritainsGotTalent09
## 297 TRT Originals Urdu
## 298 YOLO AVENTURAS
## 299 JimmyKimmelLive
## 300 NichLmao
## 301 sonotekvideo
## 302 Heidi & Zidane बच्चों की कहानियाँ
## 303 The ACE Family
## 304 Junya Official Channel
## 305 PinkPanther
## 306 CookieSwirlC
## 307 MiawAug
## 308 Sourav Joshi Vlogs
## 309 Emiway Bantai
## 310 TheWillyrex
## 311 ElTrollino
## 312 Village Cooking Channel
## 313 TheOdd1sOut
## 314 HiBestMan
## 315 kbsworld
## 316 turmadamonicaTV
## 317 Vlad and Niki IDN
## 318 DanielSaboya
## 319 SCTVIndonesia
## 320 PDKFilms
## 321 farrukotv
## 322 Rafa & Luiz
## 323 Unbox Therapy
## 324 Vsauce
## 325 DUDUeCAROL
## 326 INCRÍVEL
## 327 GEN HALILINTAR
## 328 etvteluguindia
## 329 Like Nastya Vlog
## 330 Naisa Alifia Yuriza (N.A.Y)
## 331 STARVIJAY
## 332 dj47maryn
## 333 rsiammusic
## 334 Kiddiestv Hindi - Nursery Rhymes & Kids Songs
## 335 ThePoznavatel
## 336 rhettandlink2
## 337 Little Angel Español - Canciones Infantiles
## 338 Matroix
## 339 TEDEducation
## 340 7clouds
## 341 TheGrefg
## 342 SockeyeMedia
## 343 SebastianYatra
## 344 JFlaMusic
## 345 Masha e o Urso
## 346 aMOODIEsqueezie
## 347 FactTechz
## 348 SOMOY TV
## 349 SUPER SLICK SLIME SAM
## 350 RobleisIUTU
## 351 grammygoldofficia
## 352 portadosfundos
## 353 rkddigital
## 354 Sony AATH
## 355 Stubborn Facts
## 356 alanalan9635
## 357 ArabGamesNetwork
## 358 iberethenorio
## 359 Dhar Mann
## 360 triggeredinsaan
## 361 indiancomedy
## 362 Willyrex
## 363 Sidemen
## 364 Goldmines Great Indian Comedy
## 365 fedevigevani
## 366 EeOneGuy
## 367 Jane ASMR 제인
## 368 musicalrmastv
## 369 IGNentertainment
## 370 JasonDerulo
## 371 SonyMusicSouthVEVO
## 372 aynakoitsroi
## 373 AnittaOficial
## 374 tanboykun
## 375 Zuni and Family
## 376 zbingzbing
## 377 Smile Family Spanish
## 378 Apple
## 379 TheBrianMaps
## 380 Tu COSMOPOLIS
## 381 Dangal TV Channel
## 382 Katie Angel
## 383 LIV Crime
## 384 Prajapati News
## 385 Blippi - Educational Videos for Kids
## 386 jquintanac5
## 387 Bizarrap
## 388 queenofficial
## 389 IDEAS EN 5 MINUTOS
## 390 News24page
## 391 GameTheory
## 392 VICE
## 393 TRANSTVofficial
## 394 lescopaque
## 395 Sandra Cires Art
## 396 ppextras
## 397 marquesbrownlee
## 398 El Reino a Jugar
## 399 AMARINTV : อมรินทร์ทีวี
## 400 Jason Vlogs
## 401 Kaykai Salaider
## 402 And TV
## 403 failarmy
## 404 Aayu and Pihu Show
## 405 KSIOlajidebtHD
## 406 Zappy Toons - Hindi Nursery Rhymes and Stories
## 407 IvanaAlawi
## 408 boyceavenue
## 409 AlanChikinChow
## 410 Like Nastya VNM
## 411 popchartbusters
## 412 MegatoadStonie
## 413 PitbullMusic
## 414 DopeLyrics
## 415 JenniferLopez
## 416 Kids Play
## 417 FunFunMiniWorld
## 418 Wow Kidz Action
## 419 Enes Batur
## 420 AdMe
## 421 OGatoGalactico
## 422 Busy Fun Ltd
## 423 movieclipsTRAILERS
## 424 RCTI - LAYAR DRAMA INDONESIA
## 425 FitDanceTV
## 426 Like Nastya IDN
## 427 Dyland PROS
## 428 wifistudy
## 429 With Kids[위드키즈]
## 430 laharimusic
## 431 SriBalajiMovies
## 432 Zach Choi ASMR
## 433 SAM SMITH
## 434 RomanAtwoodVlogs
## 435 T3DDYgames
## 436 Vlad and Niki ESP
## 437 Fun For Kids TV - Hindi Rhymes
## 438 gmmtv
## 439 news18India
## 440 bbtvch7
## 441 elcanaldePlimPlim
## 442 popskids
## 443 LOKESH GAMER
## 444 Kerajinan 5-Menit
## 445 LEGO
## 446 SelenaGomezVEVO
## 447 bbchindi
## 448 ndtvindia
## 449 La Rosa de Guadalupe
## 450 narendramodionline
## 451 hejproducao
## 452 5-Minute Crafts FAMILY
## 453 Oyuncak Avı
## 454 sagawa
## 455 newvolgavideo
## 456 mkmusicnews
## 457 TheRichest
## 458 Super Senya
## 459 TalkingFriends
## 460 حِرف إبداعية في 5 دقائق
## 461 thairathonline
## 462 Makiman131
## 463 LinusTechTips
## 464 nianaguerrero
## 465 mariale
## 466 ranziscool
## 467 pognalishow
## 468 TWICE
## 469 RiotGamesInc
## 470 TeamFilmsBhojpuri
## 471 BollywoodClassics
## 472 ChallengeAcceptedInc
## 473 Zach King
## 474 Dave and Ava - Nursery Rhymes and Baby Songs
## 475 PragatiVermaaShorts
## 476 Daftar Populer
## 477 CraftBattleDuty
## 478 Unspeakable
## 479 zncoficial
## 480 ERB
## 481 kwebbelkop
## 482 MobileLegends5v5MOBA
## 483 Arif muhammad
## 484 Johny FamilyShow
## 485 Totoy kids - Español
## 486 jemproducoes
## 487 iTownGamePlay
## 488 It's Mamix
## 489 majorlazer
## 490 Planeta das Gêmeas
## 491 MSA previously My Story Animated
## 492 BlippiEspanol
## 493 LEGENDA FUNK
## 494 XpressTV
## 495 حقائق وأسرار
## 496 IDEIAS INCRÍVEIS
## 497 FueledByRamen
## 498 Taarak Mehta Ka Ooltah Chashmah
## 499 MattyBRaps
## 500 collegehumor
## 501 IISuperwomanII
## 502 zeefilmimusic
## 503 PlayStation
## 504 CNN
## 505 UFC
## 506 Genierock
## 507 Canal Nostalgia
## 508 Drawblogs
## 509 TheABSCBNNews
## 510 Ajay Sharma
## 511 Gyan Gamingㅤ
## 512 Daily Dose Of Internet
## 513 انصالة فاميلي I أنس و أصالة
## 514 Boram Tube ToysReview [보람튜브 토이리뷰]
## 515 Super Polina
## 516 chadwildclay
## 517 MartinGarrix
## 518 MY FAMILY
## 519 Kuplinov ► Play
## 520 O Canal do Joãozinho - Little Angel Português
## 521 CH8vdo
## 522 A2 Motivation by Arvind Arora
## 523 EdisonPts
## 524 Hongyu ASMR 홍유
## 525 TroomTroomRu
## 526 fcbarcelona
## 527 inventonahoratv
## 528 DM - Desi Melodies
## 529 camilaloures
## 530 Vlad and Niki ARA
## 531 SrtaLynaV
## 532 crashcourse
## 533 OfficialTrapCity
## 534 MazhavilManorama
## 535 MasterskayaNastroeny
## 536 Doc Tops
## 537 whoisjimmy
## 538 #Refugio Mental
## 539 5-Minute Crafts Recycle
## 540 MNCTVOfficial
## 541 Dear Sir
## 542 mispastelitosyoutub
## 543 Auron
## 544 bomberball
## 545 AM3NlC
## 546 F2Freestylers
## 547 NikkieTutorials
## 548 RosannaPansino
## 549 Aadishakti Films
## 550 dangmattsmith
## 551 gmmchannel
## 552 ABCNews
## 553 Zig & Sharko
## 554 The MriDul
## 555 Yoeslan
## 556 SRKASSAMESE
## 557 GLENTYOUTUBE
## 558 vetealaversha
## 559 NOBRU
## 560 katakit_baby
## 561 TazerCraft
## 562 MAIKI021
## 563 telemundotv
## 564 Like Nastya Stories
## 565 Wish 107.5
## 566 ZEE5
## 567 Bispo Bruno Leonardo
## 568 WWWengie
## 569 Coke Studio
## 570 hamaarbhojpuri
## 571 bandagarotasafada
## 572 boplayhard
## 573 KompasTVNews
## 574 Infobells Bangla
## 575 Narins Beauty
## 576 TV Ana Emilia
## 577 jordanmatter
## 578 OReinho
## 579 FAPtivi
## 580 PrestonPlayz
## 581 lindseystomp
## 582 The World Adventures हिन्दी
## 583 123 GO! Spanish
## 584 bbcnews
## 585 disneyjunior
## 586 Online Job
## 587 ETV Jabardasth
## 588 MyMissAnand
## 589 AzzyLand
## 590 Ben Azelart
## 591 Sony Music South
## 592 PowerfulJRE
## 593 iloveindianmakeup
## 594 H2ODelirious
## 595 Desi Gamers
## 596 Juliana Baltar
## 597 Zeinab Harake
## 598 StudyIQ IAS
## 599 Narendra Modi
## 600 TheQ_original
## 601 theRadBrad
## 602 PozzitifonShow
## 603 skillzaisherebooya
## 604 NishaMadhulika
## 605 LeoNata Family
## 606 tseriesregional
## 607 The LaBrant Fam
## 608 SaturdayNightLive
## 609 rebeccazamolo1
## 610 Alex Gonzaga Official
## 611 jazzghost1
## 612 djzoi0
## 613 zeetvtelugu
## 614 أترو/Atro
## 615 BBC
## 616 MattSDance
## 617 JDCav24
## 618 ماشا و الدب
## 619 typicalgamer
## 620 redetv
## 621 Lady Diana
## 622 Crescendo com Luluca
## 623 O Que Não Dizer Oficial
## 624 VexTrex
## 625 einerdtv
## 626 MstrJames
## 627 JOJO TV - Hindi Stories
## 628 karameeshchannel
## 629 Brawl Stars
## 630 JamunaTVbd
## 631 MrSuicideSheep
## 632 Meghan Trainor
## 633 Danny Fitt
## 634 DJ Khaled
## 635 thinkmusicindia
## 636 BUDI01 GAMING
## 637 ComePlayWithMe
## 638 MusicTalentNow
## 639 GoldClassics
## 640 #Refúgio Mental
## 641 gymvirtual
## 642 storybots
## 643 zeebangla
## 644 awakeningrecords
## 645 BIBO와 장난감
## 646 KabitasKitchen
## 647 sonyliv
## 648 Knowledge Tv हिन्दी
## 649 Mythpat
## 650 PeppaPigPortuguesOficial
## 651 Health Time
## 652 Blockbuster Movies
## 653 JesseAndMike
## 654 DeGoBooM
## 655 Blossom
## 656 My Mate Nate
## 657 Mrwhosetheboss
## 658 gmanews
## 659 Codiscos
## 660 kidstvindia
## 661 Melon City Show - برنامج ولاية بطيخ
## 662 RS1313Shorts
## 663 AdexeOficial
## 664 TheDodoSite
## 665 1032010814
## 666 Trakin Tech
## 667 FIFATV
## 668 TheInfographicsShow
## 669 caseyneistat
## 670 TastyCompot
## 671 KidsLineKOYA
## 672 Piuzinho
## 673 KapilComedyNights
## 674 parafernalha
## 675 Troom Troom India
## 676 geonews
## 677 htbhakti
## 678 E-MasterSensei
## 679 elliegoulding
## 680 RaptorGamer
## 681 Vlad and Niki PRT
## 682 LOUD
## 683 TV9 Bharatvarsh
## 684 TalkingAngelaCat
## 685 TechnologyGyan
## 686 Yudist Ardhana
## 687 TroomTroom_Pt
## 688 Gibby :)
## 689 LittleBabyBumEspanol
## 690 React
## 691 Indore Physical Academy
## 692 officialfuturevideos
## 693 HZHtube Kids Fun
## 694 JustForLaughsTV
## 695 Americanvogue
## 696 officialjassrecords
## 697 DisneyChannelUK
## 698 user-ik9wu8di9o
## 699 ndtv
## 700 Más SKabeche
## 701 Republic Bharat
## 702 Rauw Alejandro
## 703 CHHOTU KI MASTI
## 704 Луномосик
## 705 Bela Bagunça
## 706 WaveMusicBhakti
## 707 N1Noobtubers
## 708 Akon
## 709 BanderitaX
## 710 dednahype
## 711 TheDaniRep
## 712 lucygerardi43
## 713 AvrilLavigne
## 714 Troom Troom Indonesia
## 715 Panda.
## 716 IceCreamRolls
## 717 YairAuriazul
## 718 123 GO!
## 719 Planet Earth INDIA
## 720 Lulu99
## 721 YoungBoy Never Broke Again
## 722 MrTimbaVk
## 723 Влад и Никита
## 724 TiempodeSol
## 725 infobellskannada
## 726 colinfurze
## 727 Natti Natasha
## 728 emma chamberlain
## 729 Nat and Essie
## 730 Mor Haryanvi
## 731 eltreceok
## 732 TsMadaan
## 733 KaKa Kids TV - Nursery Rhymes Kids Animated Songs
## 734 CNCO
## 735 Koo Koo TV - Hindi
## 736 Kluna Tik
## 737 blackeyedpeasvideo
## 738 elrubius
## 739 Hero Movies 2022
## 740 MBCMASR
## 741 EU FICO LOKO
## 742 MrGear
## 743 TTfue
## 744 MC Divertida
## 745 FirstWeFeast
## 746 MORGENSHTERN
## 747 QuantumTech
## 748 Heidi y Zidane
## 749 prantoniojunior
## 750 Free Fire India Official
## 751 PinkVideoVault
## 752 SBTonline
## 753 MashaBearUkraine
## 754 Acenix
## 755 GoldminesAction
## 756 FrontaL Gaming
## 757 WildNOut
## 758 Garena Free Fire LATAM
## 759 francoescamilla
## 760 penguinz0
## 761 Diana and Roma IND
## 762 hawkrecord
## 763 Pari's Lifestyle
## 764 TWO SIDE GAMERS
## 765 bharatzkitchen HINDI
## 766 AlArabiya
## 767 الجانب المُشرق | Bright Side Arabic
## 768 YMWayneCarter
## 769 CrazyRussianHacker
## 770 FlowersComedy
## 771 FelipeViktor
## 772 Lofi Girl
## 773 Biperysusamigos
## 774 pocoyotv
## 775 Jaiden Animations
## 776 realannoyingorange
## 777 BBCEarth
## 778 kendricklamar5461
## 779 Morgz
## 780 CarryisLive
## 781 VyQwaint
## 782 ExpCaseros
## 783 TheViralFeverVideos
## 784 Flamingo
## 785 toysplay
## 786 FilmTheorists
## 787 crackrockcandy
## 788 hoiitsroi
## 789 Star Casablanca | نجوم الدار البيضاء
## 790 UnspeakableGaming
## 791 Taylor RS
## 792 epicfortnite
## 793 قناة وناسة - Wanasah TV
## 794 watchcut
## 795 oyabakatousan
## 796 CaptainSparklez
## 797 ElRinconDeGiorgio
## 798 mylifeaseva
## 799 zeetamil
## 800 InsideEdition
## 801 luzugames
## 802 NirahuaMusic
## 803 BakLol Video
## 804 Avocado Couple I Crazy Comics
## 805 Virgínia Fonseca
## 806 brancoala
## 807 ArynewsTvofficial
## 808 Ya - Alisa
## 809 korayzeynep0
## 810 MagicFive5
## 811 RachitRojha
## 812 aljazeerachannel
## 813 MrGustavoParodias
## 814 sagahits
## 815 comedycentral
## 816 RapGeniusVideo
## 817 Oum Walid
## 818 Morphle TV
## 819 SEVENGERS
## 820 Stray Kids
## 821 mrplotvideos
## 822 OGGY
## 823 LikeTeamEnglish
## 824 DemolitionRanch
## 825 doctruyencotich
## 826 chotoonz
## 827 Barbie
## 828 JessicaJane99
## 829 dobrebrothers
## 830 oyuncakoynuyorumtv
## 831 viihtubeoficial
## 832 telugufilmnagar
## 833 설기양SULGI
## 834 zeeqindia
## 835 SanjoyDasOfficial
## 836 BeAmazed
## 837 GamesEduUu
## 838 Lycoman Facts
## 839 NEXT9NEWS हर खबर आप तक
## 840 NASA
## 841 Painzeiro
## 842 hasanjr11
## 843 historychannel
## 844 jpgameplayfull
## 845 RDCGujarati
## 846 BIBO и Игрушки
## 847 ctctv
## 848 Levinho
## 849 pinkfongko
## 850 ExplosmEntertainment
## 851 XHuevaX
## 852 Pen Multiplex
## 853 Slogomanify
## 854 Ryan Trahan
## 855 Vox
## 856 Peppa Pig Hindi
## 857 HikakinTV
## 858 Milena Stepanienco - MILENINHA
## 859 rathorvideo
## 860 OfficiallyAnneMarie
## 861 Juanpa Zurita
## 862 videogyan
## 863 5-Minute Crafts LIKE
## 864 GolemcitoGames
## 865 TroomTroom_Arabic
## 866 WAMIndiaMovies
## 867 THE BROWN SIBLINGS
## 868 KiKiDo
## 869 woodyandkleiny
## 870 Área Secreta
## 871 sadhguru
## 872 mamilosmolengas
## 873 CasoCerrado
## 874 Experienced Mojaraba TV
## 875 GIMS
## 876 Joe HaTTab
## 877 Goldmines Housefull
## 878 mirandasings08
## 879 redbull
## 880 ChuChuTV Hindi
## 881 timesmusicindia
## 882 DentalDigest
## 883 DRJRecordsSpecials
## 884 ComedyShortsGamer
## 885 PinaRecordsVideos
## 886 WarnerBrosPictures
## 887 Google
## 888 DuDuPopTOY
## 889 Kids smile TV
## 890 MUSATANVEER
## 891 Primitive Technology
## 892 TikTak Draw
## 893 Talent Recap
## 894 Airrack
## 895 [햄지]Hamzy
## 896 stampylonghead
## 897 Alexa Rivera
## 898 Utkarsh Classes Jodhpur
## 899 user-eg5ud6ut6s
## 900 soicon295
## 901 Hindi Fairy Tales
## 902 PrankvsPrank
## 903 Family Box
## 904 sbtthenoite
## 905 craftingeek
## 906 Pinkfong en español - Canciones Infantiles
## 907 francinyehlke
## 908 AdamThomasMoran
## 909 GoProCamera
## 910 ChillStepNation
## 911 MTV
## 912 Toymong tv 토이몽TV
## 913 bbcarabic
## 914 atv
## 915 TeremokTV
## 916 TeamMojang
## 917 Comedy Captain
## 918 Eli Kids - Cartoons & Songs
## 919 CJENMMUSIC
## 920 Behindwoodstv
## 921 Rawan and Rayan
## 922 Cris Devil Gamer
## 923 GeorgeNotFound
## 924 GemaNadaPertiwi
## 925 Hindi Kahaniya
## 926 CS Bisht Vines
## 927 williesalim
## 928 Farjana Drawing Academy
## 929 Heroine Movies 2022
## 930 MTflims
## 931 VikiShow
## 932 ReceitasdePai
## 933 Doctor Mike
## 934 Lorrayne Oliveira
## 935 Oneindia Hindi | वनइंडिया हिंदी
## 936 singkingkaraoke
## 937 LittleAngelIndonesia
## 938 Adriana Show
## 939 PattymayoTv
## 940 BrPVPHu3
## 941 5-Minute Recipes
## 942 Playing with Rafael
## 943 bhaktisongs
## 944 TwinRoozi 쌍둥이 루지
## 945 Baby Big Mouth Kids - Sing, Dance, Explore
## 946 SaraBeautyCorner
## 947 TomorrowlandChannel
## 948 EugenBro
## 949 HiTechIslamic
## 950 서은일상이야기
## 951 XO TEAM
## 952 TeremokSongs
## 953 AsapSCIENCE
## 954 Jugnu Kids - Nursery Rhymes and Best Baby Songs
## 955 The Daily Show with Trevor Noah
## 956 SpriteDer SPD
## 957 0214mex
## 958 VYRLOriginals
## 959 PrimeVideoIN
## 960 HeeraGoldOfficial
## 961 cleanbandit
## 962 Survival Builder
## 963 Hindi Countdown
## 964 Sanam
## 965 Salman Noman
## 966 TopMovieClips
## 967 SiaVEVO
## 968 Islam Populer
## 969 topperguild
## 970 AnandAudio
## 971 Wylsacom
## 972 SONU SHARMA
## 973 nikhirschi
## 974 JessicaJulioeBaby
## 975 T-STUDIO
## 976 ThePersica
## 977 123 GO! Hindi
## 978 DalasReview
## 979 nhstudioz
## 980 NFL
## 981 ChuChuTV Español
## 982 Sơn Tùng M-TP Official
## 983 htv2channel
## 984 Luan Palomera
## 985 Roshan Zindagi
## 986 Eagle Home Entertainments
## 987 مصطفى GAME OVER
## 988 GadgetIn
## 989 RUOK
## 990 Sabkuchhsikhojano
## 991 Harpreet SDC
## 992 FoxNewsChannel
## 993 Santa Fe Klan Official
## 994 Boram Tube Show
## 995 Diana and Roma PRT
## 996 SULE PRODUCTIONS
## 997 Dynamo Gaming
## 998 one_Iraqi_Diary
## 999 ClassicMrBean
## 1000 Anupam Movie Songs
## 1001 AnandAudio
## 1002 Wylsacom
## 1003 Eagle Home Entertainments
## youtuber.name
## 1 T-Series
## 2 SET India
## 3 Cocomelon - Nursery Rhymes
## 4 MrBeast
## 5 PewDiePie
## 6 ✿ Kids Diana Show
## 7 Like Nastya
## 8 WWE
## 9 Vlad and Niki
## 10 Zee Music Company
## 11 BLACKPINK
## 12 Goldmines
## 13 5-Minute Crafts
## 14 Sony SAB
## 15 BANGTANTV
## 16 HYBE LABELS
## 17 Canal KondZilla
## 18 Zee TV
## 19 Shemaroo Filmi Gaane
## 20 Pinkfong Baby Shark - Kids' Songs & Stories
## 21 ChuChu TV Nursery Rhymes & Kids Songs
## 22 Dude Perfect
## 23 Movieclips
## 24 Colors TV
## 25 Marshmello
## 26 T-Series Bhakti Sagar
## 27 Tips Official
## 28 Wave Music
## 29 Aaj Tak
## 30 Sony Music India
## 31 El Reino Infantil
## 32 Ed Sheeran
## 33 LooLoo Kids - Nursery Rhymes and Children's Songs
## 34 Taylor Swift
## 35 YRF
## 36 BillionSurpriseToys - English Kids Songs & Cartoon
## 37 Infobells - Hindi
## 38 JuegaGerman
## 39 Badabun
## 40 Felipe Neto
## 41 BRIGHT SIDE
## 42 Você Sabia?
## 43 SonyMusicIndiaVEVO
## 44 Katy Perry
## 45 Get Movies
## 46 Alan Walker
## 47 A4
## 48 Shemaroo
## 49 Like Nastya Show
## 50 ABS-CBN Entertainment
## 51 Voot Kids
## 52 Speed Records
## 53 Little Baby Bum - Nursery Rhymes & Kids Songs
## 54 Luisito Comunica
## 55 Маша и Медведь
## 56 Shakira
## 57 Kimberly Loaiza
## 58 Ishtar Music
## 59 LUCCAS NETO - LUCCAS TOON
## 60 TheEllenShow
## 61 GR6 EXPLODE
## 62 XXXTENTACION
## 63 Toys and Colors
## 64 WorkpointOfficial
## 65 Masha and The Bear
## 66 ARY Digital HD
## 67 CarryMinati
## 68 Daddy Yankee
## 69 shfa2 - شفا
## 70 TEDx Talks
## 71 shfa
## 72 Super Simple Songs - Kids Songs
## 73 Jkk Entertainment
## 74 Mikecrack
## 75 Ozuna
## 76 Goldmines Gaane Sune Ansune
## 77 ช่อง one31
## 78 Like Nastya ESP
## 79 Ultra Bollywood
## 80 HAR PAL GEO
## 81 Maria Clara & JP
## 82 ABP NEWS
## 83 Sony PAL
## 84 Total Gaming
## 85 YouTube
## 86 Markiplier
## 87 Ryan's World
## 88 VEGETTA777
## 89 Geet MP3
## 90 T-Series Apna Punjab
## 91 La Granja de Zenón
## 92 NoCopyrightSounds
## 93 IndiaTV
## 94 SSSniperWolf
## 95 KHANDESHI MOVIES
## 96 Ch3Thailand
## 97 Vlad và Nikita
## 98 Selena Gomez
## 99 Bollywood Classics
## 100 Eros Now Music
## 101 GENIAL
## 102 PowerKids TV
## 103 Rajshri
## 104 Saregama Music
## 105 Mr Bean
## 106 SMTOWN
## 107 BabyBus - Kids Songs and Cartoons
## 108 DisneyMusicVEVO
## 109 Ricis Official
## 110 Trap Nation
## 111 The Tonight Show Starring Jimmy Fallon
## 112 rezendeevil
## 113 AH
## 114 Techno Gamerz
## 115 Worldwide Records Bhojpuri
## 116 Spinnin' Records
## 117 ImagineDragons
## 118 Peppa Pig - Official Channel
## 119 MR. INDIAN HACKER
## 120 Wow Kidz
## 121 Ultra Records
## 122 Maluma
## 123 Genevieve's Playhouse - Learning Videos for Kids
## 124 jacksepticeye
## 125 GMANetwork
## 126 قناة طيور الجنة | toyoraljanahtv
## 127 DONA 도나
## 128 KAROL G
## 129 Talking Tom
## 130 Little Angel: Nursery Rhymes & Kids Songs
## 131 Zee News
## 132 Diana and Roma ESP
## 133 The Late Late Show with James Corden
## 134 व्लाद और निकिता
## 135 Lucas and Marcus
## 136 TheDonato
## 137 infobells - Tamil
## 138 AboFlah
## 139 Aditya Music
## 140 Wiz Khalifa
## 141 Bounce Patrol - Kids Songs
## 142 Michael Jackson
## 143 infobells - Telugu
## 144 enchufetv
## 145 DanTDM
## 146 toycantando
## 147 Sandeep Maheshwari
## 148 WORLDSTARHIPHOP
## 149 JYP Entertainment
## 150 Renato Garcia
## 151 VanossGaming
## 152 Nick Jr.
## 153 Goldmines Dishoom
## 154 1MILLION Dance Studio
## 155 LosPolinesios
## 156 Aditya Movies
## 157 Marília Mendonça
## 158 Beyoncé
## 159 Masha y el Oso
## 160 Raffy Tulfo in Action
## 161 RihannaVEVO
## 162 Netflix
## 163 Jess No Limit
## 164 Las Ratitas
## 165 Smosh
## 166 WatchMojo.com
## 167 Crazy XYZ
## 168 Post Malone
## 169 David Guetta
## 170 Shemaroo Movies
## 171 Rans Entertainment
## 172 Amit Bhadana
## 173 1theK (원더케이)
## 174 Chloe Ting
## 175 Enaldinho
## 176 Coldplay
## 177 Diana and Roma HIN
## 178 Chris Brown
## 179 TRANS7 OFFICIAL
## 180 Goldmines Bollywood
## 181 Ninja
## 182 ABPLIVE
## 183 James Charles
## 184 HUM TV
## 185 Logan Paul
## 186 Happy Lives
## 187 Enrique Iglesias
## 188 Troom Troom
## 189 NickyJamTV
## 190 netd müzik
## 191 Mister Max
## 192 WB Kids
## 193 Tina Pontes
## 194 Jelly
## 195 Anuel AA
## 196 Sesame Street
## 197 The Lallantop
## 198 Like Nastya AE
## 199 Frost Diamond
## 200 MrBeast en Español
## 201 D Billions
## 202 Mark Rober
## 203 Venus Movies
## 204 Miss Katy
## 205 DrossRotzank
## 206 America's Got Talent
## 207 Technical Guruji
## 208 Diana and Roma ARA
## 209 GMM GRAMMY OFFICIAL
## 210 Smile Family
## 211 Goldmines Movies
## 212 TED
## 213 Peppa Pig Español Latino - Canal Oficial
## 214 mmoshaya
## 215 White Hill Music
## 216 Wave Music Bhojpuri
## 217 Sia
## 218 Pen Movies
## 219 Brent Rivera
## 220 FaZe Rug
## 221 Paulo Londra
## 222 StarPlus
## 223 Preston
## 224 BabyBus - Canciones Infantiles & Videos para Niños
## 225 Juan De Dios Pantoja
## 226 shfa show India
## 227 Like Nastya PRT
## 228 Charlie Puth
## 229 SSundee
## 230 ★ Kids Roma Show
## 231 Goldmines Cineplex
## 232 LankyBox
## 233 FGTeeV
## 234 Tasty
## 235 Ultra Movie Parlour
## 236 National Geographic
## 237 5-Minute Crafts DIY
## 238 Baim Paula
## 239 Kids TV - Nursery Rhymes And Baby Songs
## 240 Canal Canalha
## 241 Disney Latinoamérica
## 242 Beast Reacts
## 243 Brave Wilderness
## 244 Rotana
## 245 Vlad and Niki Arabic
## 246 Zhong
## 247 Alan Becker
## 248 Jake Paul
## 249 Diana and Roma EN
## 250 toyorbabytv
## 251 BuzzFeedVideo
## 252 Tlnovelas
## 253 LazarBeam
## 254 GMA Public Affairs
## 255 Dr. Vivek Bindra: Motivational Speaker
## 256 Kinder Spielzeug Kanal
## 257 Netflix India
## 258 AuthenticGames
## 259 SlivkiShow
## 260 Totoy kids - Português
## 261 5-Minute Crafts PLAY
## 262 REACT
## 263 Vevo
## 264 HaerteTest
## 265 Pencilmation
## 266 Romeo Santos
## 267 Mnet K-POP
## 268 Pentatonix
## 269 Sun TV
## 270 Marvel Entertainment
## 271 Eva Bravo Play
## 272 Fatos Desconhecidos
## 273 Deddy Corbuzier
## 274 Noor Stars
## 275 Got Talent Global
## 276 Infinite
## 277 Kurzgesagt – In a Nutshell
## 278 Dushyant kukreja
## 279 invictor
## 280 Gordon Ramsay
## 281 Gusttavo Lima Oficial
## 282 Vania Mania Kids
## 283 Robin Hood Gamer
## 284 NBA
## 285 Troom Troom Es
## 286 Alejo Igoa
## 287 Clash of Clans
## 288 The Royalty Family
## 289 Kids Channel India - Hindi Rhymes and Baby Songs
## 290 DLS News
## 291 BabyBus - Cerita & Lagu Anak-anak
## 292 AS Gaming
## 293 Crafty Panda
## 294 Green Gold TV - Official Channel
## 295 Maya and Mary
## 296 Britain's Got Talent
## 297 TRT Originals Urdu
## 298 YOLO AVENTURAS
## 299 Jimmy Kimmel Live
## 300 NichLmao
## 301 Sonotek
## 302 Heidi & Zidane बच्चों की कहानियाँ
## 303 The ACE Family
## 304 Junya Official Channel
## 305 Official Pink Panther
## 306 CookieSwirlC
## 307 MiawAug
## 308 Sourav Joshi Vlogs
## 309 Emiway Bantai
## 310 TheWillyrex
## 311 ElTrollino
## 312 Village Cooking Channel
## 313 TheOdd1sOut
## 314 HiMan
## 315 KBS WORLD TV
## 316 Turma da Mônica
## 317 Vlad and Niki IDN
## 318 Dan-Sa / Daniel Saboya
## 319 SCTV
## 320 PDK Films
## 321 Farruko
## 322 Rafa & Luiz
## 323 Unbox Therapy
## 324 Vsauce
## 325 DUDU e CAROL
## 326 INCRÍVEL
## 327 GEN HALILINTAR
## 328 etvteluguindia
## 329 Like Nastya Vlog
## 330 Naisa Alifia Yuriza (N.A.Y)
## 331 Vijay Television
## 332 Marmok
## 333 RsiamMusic : อาร์สยาม
## 334 Kiddiestv Hindi - Nursery Rhymes & Kids Songs
## 335 Познаватель
## 336 Good Mythical Morning
## 337 Little Angel Español - Canciones Infantiles
## 338 Ali-A
## 339 TED-Ed
## 340 7clouds
## 341 TheGrefg
## 342 Mother Goose Club Playhouse
## 343 Sebastián Yatra
## 344 JFlaMusic
## 345 Masha e o Urso
## 346 SQUEEZIE
## 347 FactTechz
## 348 SOMOY TV
## 349 SUPER SLICK SLIME SAM
## 350 RobleisIUTU
## 351 Grammy Gold Official
## 352 Porta dos Fundos
## 353 RKD Studios
## 354 Sony AATH
## 355 Stubborn Facts
## 356 Stokes Twins
## 357 شبكة العاب العرب | Arab Games Network
## 358 Manual do Mundo
## 359 Dhar Mann
## 360 Triggered Insaan
## 361 Shemaroo Comedy
## 362 Willyrex
## 363 Sidemen
## 364 Goldmines Great Indian Comedy
## 365 Fede Vigevani
## 366 EeOneGuy
## 367 Jane ASMR 제인
## 368 الـريماس - Al-Remas
## 369 IGN
## 370 Jason Derulo
## 371 SonyMusicSouthVEVO
## 372 Guava Juice
## 373 Anitta
## 374 tanboy kun
## 375 Zuni and Family
## 376 zbing z.
## 377 Smile Family Spanish
## 378 Apple
## 379 TheBrianMaps
## 380 Tu COSMOPOLIS
## 381 Dangal TV Channel
## 382 Katie Angel
## 383 LIV Crime
## 384 Prajapati News
## 385 Blippi - Educational Videos for Kids
## 386 DeToxoMoroxo
## 387 Bizarrap
## 388 Queen Official
## 389 IDEAS EN 5 MINUTOS
## 390 News24
## 391 The Game Theorists
## 392 VICE
## 393 TRANS TV Official
## 394 Les' Copaque Production
## 395 Sandra Cires Art
## 396 ExtraPolinesios
## 397 Marques Brownlee
## 398 El Reino a Jugar
## 399 AMARINTV : อมรินทร์ทีวี
## 400 Jason Vlogs
## 401 Kaykai Salaider
## 402 And TV
## 403 FailArmy
## 404 Aayu and Pihu Show
## 405 JJ Olatunji
## 406 Zappy Toons - Hindi Nursery Rhymes and Stories
## 407 Ivana Alawi
## 408 Boyce Avenue
## 409 Alan Chikin Chow
## 410 Like Nastya VNM
## 411 Pop Chartbusters
## 412 Matt Stonie
## 413 Pitbull
## 414 DopeLyrics
## 415 Jennifer Lopez
## 416 Kids Play
## 417 FunFun Toy Doll TV
## 418 Wow Kidz Action
## 419 Enes Batur
## 420 AdMe
## 421 Gato Galactico | GALÁXIA
## 422 Busy Fun Ltd
## 423 Rotten Tomatoes Trailers
## 424 RCTI - LAYAR DRAMA INDONESIA
## 425 FitDance
## 426 Like Nastya IDN
## 427 Dyland PROS
## 428 wifistudy
## 429 With Kids[위드키즈]
## 430 Lahari Music | T-Series
## 431 SriBalajiMovies
## 432 Zach Choi ASMR
## 433 SAM SMITH
## 434 Roman Atwood Vlogs
## 435 T3ddy
## 436 Vlad and Niki ESP
## 437 Fun For Kids TV - Hindi Rhymes
## 438 GMMTV OFFICIAL
## 439 News18 India
## 440 Ch7HD
## 441 Plim Plim - Kids Songs & Episodes - Spanish
## 442 POPS Kids
## 443 LOKESH GAMER
## 444 Kerajinan 5-Menit
## 445 LEGO
## 446 SelenaGomezVEVO
## 447 BBC News Hindi
## 448 NDTV India
## 449 La Rosa de Guadalupe
## 450 NMF News
## 451 Henrique e Juliano
## 452 5-Minute Crafts FAMILY
## 453 Oyuncak Avı
## 454 Sagawa /さがわ
## 455 Volga Video
## 456 MK MUSIC
## 457 TheRichest
## 458 Super Senya
## 459 Talking Tom & Friends
## 460 حِرف إبداعية في 5 دقائق
## 461 Thairath Online
## 462 Makiman131
## 463 Linus Tech Tips
## 464 Niana Guerrero
## 465 Mariale
## 466 Ranz Kyle
## 467 Дима Масленников
## 468 TWICE
## 469 League of Legends
## 470 Team Films Bhojpuri
## 471 Bollywood Classics
## 472 Aphmau
## 473 Zach King
## 474 Dave and Ava - Nursery Rhymes and Baby Songs
## 475 Pragati Verma Shorts
## 476 Daftar Populer
## 477 Lachlan
## 478 Unspeakable
## 479 Zé Neto e Cristiano
## 480 ERB
## 481 Kwebbelkop
## 482 Mobile Legends: Bang Bang Official
## 483 Arif muhammad
## 484 Johny FamilyShow
## 485 Totoy kids - Español
## 486 Jorge & Mateus Oficial
## 487 iTownGamePlay *Terror&Diversión*
## 488 It's Mamix
## 489 Major Lazer Official
## 490 Planeta das Gêmeas
## 491 MSA previously My Story Animated
## 492 Blippi Español
## 493 LEGENDA FUNK
## 494 XpressTV
## 495 حقائق وأسرار
## 496 IDEIAS INCRÍVEIS
## 497 Fueled By Ramen
## 498 Taarak Mehta Ka Ooltah Chashmah
## 499 MattyBRaps
## 500 CollegeHumor
## 501 Lilly Singh
## 502 Zee Music Classic
## 503 PlayStation
## 504 CNN
## 505 UFC - Ultimate Fighting Championship
## 506 Genierock
## 507 Canal Nostalgia
## 508 Drawblogs
## 509 ABS-CBN News
## 510 Ajay Sharma
## 511 Gyan Gamingㅤ
## 512 Daily Dose Of Internet
## 513 انصالة فاميلي I أنس و أصالة
## 514 Boram Tube ToysReview [보람튜브 토이리뷰]
## 515 Super Polina
## 516 Chad Wild Clay
## 517 Martin Garrix
## 518 MY FAMILY
## 519 Kuplinov ► Play
## 520 O Canal do Joãozinho - Little Angel Português
## 521 ช่อง8 : Thai Ch8
## 522 A2 Motivation by Arvind Arora
## 523 EdisonPts
## 524 Hongyu ASMR 홍유
## 525 Трум Трум
## 526 FC Barcelona
## 527 Invento na Hora
## 528 DM - Desi Melodies
## 529 Camila Loures
## 530 Vlad and Niki ARA
## 531 Lyna
## 532 CrashCourse
## 533 Trap City
## 534 Mazhavil Manorama
## 535 Мастерская Настроения
## 536 Doc Tops
## 537 How Ridiculous
## 538 #Refugio Mental
## 539 5-Minute Crafts Recycle
## 540 MNCTV OFFICIAL
## 541 Dear Sir
## 542 Mis Pastelitos
## 543 Auron
## 544 Bie The Ska
## 545 AM3NlC
## 546 F2Freestylers - Ultimate Soccer Skills Channel
## 547 NikkieTutorials
## 548 Rosanna Pansino
## 549 Aadishakti Films
## 550 DangMattSmith
## 551 GMM25Thailand
## 552 ABC News
## 553 Zig & Sharko
## 554 The MriDul
## 555 Yoeslan
## 556 SRK MUSIC
## 557 ГЛЕНТ
## 558 Darkar Company Studios
## 559 NOBRU
## 560 Katakit Baby TV
## 561 TazerCraft
## 562 MAIKI021
## 563 Telemundo
## 564 Like Nastya Stories
## 565 Wish 107.5
## 566 ZEE5
## 567 Bispo Bruno Leonardo
## 568 Wengie
## 569 Coke Studio
## 570 T-Series Hamaar Bhojpuri
## 571 Wesley Safadão
## 572 PlayHard
## 573 KOMPASTV
## 574 Infobells Bangla
## 575 Narins Beauty
## 576 TV Ana Emilia
## 577 Jordan Matter
## 578 O Reino Infantil
## 579 FAPTV
## 580 PrestonPlayz
## 581 Lindsey Stirling
## 582 The World Adventures हिन्दी
## 583 123 GO! Spanish
## 584 BBC News
## 585 Disney Junior
## 586 Online Job
## 587 ETV Jabardasth
## 588 MyMissAnand
## 589 AzzyLand
## 590 Ben Azelart
## 591 Sony Music South
## 592 PowerfulJRE
## 593 Anaysa
## 594 H2ODelirious
## 595 Desi Gamers
## 596 Juliana Baltar
## 597 Zeinab Harake
## 598 StudyIQ IAS
## 599 Narendra Modi
## 600 The Q
## 601 theRadBrad
## 602 Поззи
## 603 Conor Maynard
## 604 NishaMadhulika
## 605 LeoNata Family
## 606 T-Series Regional
## 607 The LaBrant Fam
## 608 Saturday Night Live
## 609 Rebecca Zamolo
## 610 Alex Gonzaga Official
## 611 Jazzghost
## 612 Everson Zoio
## 613 Zee Telugu
## 614 أترو/Atro
## 615 BBC
## 616 Matt Steffanina
## 617 ATHLEAN-X™
## 618 ماشا و الدب
## 619 Typical Gamer
## 620 RedeTV
## 621 Lady Diana
## 622 Crescendo com Luluca
## 623 O Que Não Dizer Oficial
## 624 VexTrex
## 625 Ei Nerd
## 626 Hacksmith
## 627 JOJO TV - Hindi Stories
## 628 karameeshchannel
## 629 Brawl Stars
## 630 Jamuna TV
## 631 MrSuicideSheep
## 632 Meghan Trainor
## 633 Danny Fitt
## 634 DJ Khaled
## 635 Think Music India
## 636 BUDI01 GAMING
## 637 Come Play With Me
## 638 Top Viral Talent
## 639 Goldmines Premiere
## 640 #Refúgio Mental
## 641 gymvirtual
## 642 Netflix Jr.
## 643 Zee Bangla
## 644 Awakening Music
## 645 BIBO와 장난감
## 646 Kabita's Kitchen
## 647 Sony LIV
## 648 Knowledge Tv हिन्दी
## 649 Mythpat
## 650 Peppa Pig em Português Brasil - Canal Oficial
## 651 Health Time
## 652 Blockbuster Movies
## 653 JesseAndMike
## 654 DeGoBooM
## 655 Blossom
## 656 My Mate Nate
## 657 Mrwhosetheboss
## 658 GMA News
## 659 Codiscos
## 660 Kids TV India Hindi Nursery Rhymes
## 661 Melon City Show - برنامج ولاية بطيخ
## 662 RS 1313 SHORTS
## 663 Adexe & Nau
## 664 The Dodo
## 665 TKOR
## 666 Trakin Tech
## 667 FIFA
## 668 The Infographics Show
## 669 CaseyNeistat
## 670 Compot
## 671 KOYA with
## 672 Piuzinho
## 673 Colors Rishtey
## 674 Parafernalha
## 675 Troom Troom India
## 676 Geo News
## 677 Sonotek Bhakti
## 678 E-MasterSensei
## 679 elliegoulding
## 680 RaptorGamer
## 681 Vlad and Niki PRT
## 682 LOUD
## 683 TV9 Bharatvarsh
## 684 Talking Angela
## 685 Technology Gyan
## 686 Yudist Ardhana
## 687 Troom Troom PT
## 688 Gibby :)
## 689 Little Baby Bum en Español
## 690 People Vs Food
## 691 Indore Physical Academy
## 692 Future
## 693 HZHtube Kids Fun
## 694 Just For Laughs Gags
## 695 Vogue
## 696 Jass Records
## 697 DisneyChannelUK
## 698 WiederDude
## 699 NDTV
## 700 Más SKabeche
## 701 Republic Bharat
## 702 Rauw Alejandro
## 703 CHHOTU KI MASTI
## 704 Луномосик
## 705 Bela Bagunça
## 706 Wave Music Bhakti
## 707 웃웃TwinsFromRussia
## 708 Akon
## 709 BanderitaX
## 710 dednahype
## 711 DaniRep | +6 Vídeos Diarios De GTA 5 Online!
## 712 Luli Pampín
## 713 Avril Lavigne
## 714 Troom Troom Indonesia
## 715 Panda
## 716 Ice Cream Rolls
## 717 Yair17
## 718 123 GO!
## 719 Planet Earth INDIA
## 720 Lulu99
## 721 YoungBoy Never Broke Again
## 722 Timba Vk
## 723 Влад и Никита
## 724 Duo Tiempo De Sol
## 725 infobells - Kannada
## 726 colinfurze
## 727 Natti Natasha
## 728 emma chamberlain
## 729 Nat and Essie
## 730 Mor Haryanvi
## 731 El Trece
## 732 TsMadaan
## 733 KaKa Kids TV - Nursery Rhymes Kids Animated Songs
## 734 CNCO
## 735 Koo Koo TV - Hindi
## 736 Kluna Tik
## 737 Black Eyed Peas
## 738 Rubius Z
## 739 Hero Movies 2022
## 740 MBC مصر
## 741 EU FICO LOKO
## 742 MrGear
## 743 Tfue
## 744 MC Divertida
## 745 First We Feast
## 746 MORGENSHTERN
## 747 Quantum Tech HD
## 748 Heidi y Zidane
## 749 Pastor Antônio Júnior
## 750 Free Fire India Official
## 751 P!NK
## 752 SBT
## 753 Маша та Ведмідь
## 754 Acenix
## 755 GoldminesAction
## 756 FrontaL Gaming
## 757 Wild 'N Out
## 758 Garena Free Fire LATAM
## 759 Franco Escamilla
## 760 penguinz0
## 761 Diana and Roma IND
## 762 Single Track Studio
## 763 Pari's Lifestyle
## 764 TWO SIDE GAMERS
## 765 bharatzkitchen HINDI
## 766 AlArabiya العربية
## 767 الجانب المُشرق | Bright Side Arabic
## 768 Lil Wayne
## 769 CrazyRussianHacker
## 770 Flowers Comedy
## 771 LipaoGamer
## 772 Lofi Girl
## 773 Biper y sus Amigos
## 774 POCOYÓ en ESPAÑOL - Canal Oficial
## 775 Jaiden Animations
## 776 Annoying Orange
## 777 BBC Earth
## 778 Kendrick Lamar
## 779 Morgz
## 780 CarryisLive
## 781 Vy Qwaint
## 782 ExpCaseros
## 783 The Viral Fever
## 784 Flamingo
## 785 ToysPlay
## 786 The Film Theorists
## 787 Maymo
## 788 Wassabi
## 789 Star Casablanca | نجوم الدار البيضاء
## 790 UnspeakableReacts
## 791 Taylor RS
## 792 Fortnite
## 793 قناة وناسة - Wanasah TV
## 794 Cut
## 795 Sen, Momo, Ai & Shii's Channel
## 796 CaptainSparklez
## 797 El Rincón De Giorgio
## 798 MyLifeAsEva
## 799 Zee Tamil
## 800 Inside Edition
## 801 luzugames
## 802 Nirahua Music World
## 803 BakLol Video
## 804 Avocado Couple I Crazy Comics
## 805 Virgínia Fonseca
## 806 Brancoala
## 807 ARY News
## 808 Ya - Alisa
## 809 Koray Zeynep
## 810 Magic Five
## 811 Rachit Rojha
## 812 AlJazeera Arabic قناة الجزيرة
## 813 Gustavo Paródias
## 814 SagaHits
## 815 Comedy Central
## 816 Genius
## 817 Oum Walid
## 818 Morphle TV
## 819 SEVENGERS
## 820 Stray Kids
## 821 Mundo Bita
## 822 OGGY
## 823 LIKE! English
## 824 DemolitionRanch
## 825 Kênh Thiếu Nhi - BHMEDIA
## 826 Chotoonz TV - Funny Cartoons for Kids
## 827 Barbie
## 828 Jessica Jane
## 829 Dobre Brothers
## 830 OYUNCAKOYNUYORUM
## 831 Viih Tube
## 832 Telugu Filmnagar
## 833 설기양SULGI
## 834 Zee Kids
## 835 Sanjoy Das Official
## 836 BE AMAZED
## 837 Games EduUu
## 838 Lycoman Facts
## 839 NEXT9NEWS हर खबर आप तक
## 840 NASA
## 841 Painzeiro
## 842 hasanjr11
## 843 HISTORY
## 844 JP Plays
## 845 RDC Gujarati
## 846 BIBO и Игрушки
## 847 СТС
## 848 Levinho
## 849 핑크퐁 (인기 동요・동화)
## 850 ExplosmEntertainment
## 851 Hueva
## 852 Pen Multiplex
## 853 Slogo
## 854 Ryan Trahan
## 855 Vox
## 856 Peppa Pig Hindi
## 857 HikakinTV
## 858 Milena Stepanienco - MILENINHA
## 859 Rathore Cassettes
## 860 Anne-Marie
## 861 Juanpa Zurita
## 862 Videogyan Nursery Rhymes - Kids Songs & Cartoons
## 863 5-Minute Crafts LIKE
## 864 Golemcito Games
## 865 Troom Troom Arabic
## 866 Wamindia Movies
## 867 THE BROWN SIBLINGS
## 868 KiKiDo
## 869 Woody & Kleiny
## 870 Área Secreta
## 871 Sadhguru
## 872 Mussoumano
## 873 Caso Cerrado
## 874 Experienced Mojaraba TV
## 875 GIMS
## 876 Joe HaTTab
## 877 Goldmines Housefull
## 878 Miranda Sings
## 879 Red Bull
## 880 ChuChuTV Hindi
## 881 Times Music
## 882 Dental Digest
## 883 DRJ Records Specials
## 884 Deji
## 885 Pina Records
## 886 Warner Bros. Pictures
## 887 Google
## 888 DuDuPopTOY
## 889 Kids smile TV
## 890 Entertainment with Musa
## 891 Primitive Technology
## 892 TikTak Draw
## 893 Talent Recap
## 894 Airrack
## 895 [햄지]Hamzy
## 896 stampylonghead
## 897 Alexa Rivera
## 898 Utkarsh Classes Jodhpur
## 899 Vlad y Nikita Show
## 900 Magnet World
## 901 Hindi Fairy Tales
## 902 Jesse
## 903 Family Box
## 904 The Noite com Danilo Gentili
## 905 Craftingeek
## 906 Pinkfong en español - Canciones Infantiles
## 907 Franciny Ehlke
## 908 AdamThomasMoran
## 909 GoPro
## 910 Chill Nation
## 911 MTV
## 912 Toymong tv 토이몽TV
## 913 BBC News عربي
## 914 atv
## 915 Теремок ТВ
## 916 Minecraft
## 917 Comedy Captain
## 918 Eli Kids - Cartoons & Songs
## 919 Stone Music Entertainment
## 920 BehindwoodsTV
## 921 Rawan and Rayan
## 922 Cris Devil Gamer
## 923 GeorgeNotFound
## 924 GNP Music
## 925 Hindi Kahaniya
## 926 CS Bisht Vines
## 927 Willie Salim
## 928 Farjana Drawing Academy
## 929 Heroine Movies 2022
## 930 Tanner Fox
## 931 Viki Show
## 932 Receitas de Pai
## 933 Doctor Mike
## 934 Lorrayne Oliveira
## 935 Oneindia Hindi | वनइंडिया हिंदी
## 936 Sing King
## 937 Little Angel Bahasa Indonesia - Lagu Anak
## 938 Adriana Show
## 939 Patty Mayo
## 940 João Caetano
## 941 5-Minute Recipes
## 942 Playing with Rafael
## 943 Shemaroo Bhakti
## 944 TwinRoozi 쌍둥이 루지
## 945 Baby Big Mouth Kids - Sing, Dance, Explore
## 946 SaraBeautyCorner - DIY, Comedy, Makeup, Nail Art
## 947 Tomorrowland
## 948 EugenBro
## 949 Hi-Tech Islamic Naat
## 950 서은일상이야기
## 951 XO TEAM
## 952 Теремок - Песенки для детей
## 953 AsapSCIENCE
## 954 Jugnu Kids - Nursery Rhymes and Best Baby Songs
## 955 The Daily Show with Trevor Noah
## 956 SpriteDer SPD
## 957 はじめしゃちょー(hajime)
## 958 VYRLOriginals
## 959 Prime Video India
## 960 Heera Gold
## 961 Clean Bandit
## 962 Survival Builder
## 963 Hindi Countdown
## 964 Sanam
## 965 Salman Noman
## 966 TopMovieClips
## 967 SiaVEVO
## 968 Islam Populer
## 969 Topper Guild
## 970 Anand Audio
## 971 Wylsacom
## 972 SONU SHARMA
## 973 Supercar Blondie
## 974 Laurinha e Helena - Clubinho da Laura
## 975 T-STUDIO
## 976 Orkun Işıtmak
## 977 123 GO! Hindi
## 978 Dalas Review
## 979 NH Studioz
## 980 NFL
## 981 ChuChuTV Español
## 982 Sơn Tùng M-TP Official
## 983 Vie Channel - HTV2
## 984 Luan Palomera
## 985 Roshan Zindagi
## 986 Eagle Home Entertainments
## 987 مصطفى GAME OVER
## 988 GadgetIn
## 989 RUOK
## 990 Sab Kuchh Sekho Jano
## 991 Harpreet SDC
## 992 Fox News
## 993 Santa Fe Klan Official
## 994 Boram Tube Show
## 995 Diana and Roma PRT
## 996 SULE PRODUCTIONS
## 997 Dynamo Gaming
## 998 يوميات واحد عراقي | One Iraqi Diary
## 999 Classic Mr Bean
## 1000 Anupam Movie Songs
## 1001 Anand Audio
## 1002 Wylsacom
## 1003 Eagle Home Entertainments
bo2 <- bo[c(2,3,4),c(2,3)]
bo2
## Youtube.channel youtuber.name
## 2 setindia SET India
## 3 checkgate Cocomelon - Nursery Rhymes
## 4 MrBeast MrBeast
F <- bo$Followers
F
## [1] "229.5M" "147.2M" "146.6M" "117M" "111.6M" "103.4M" "102.4M" "91.8M"
## [9] "90.5M" "89.7M" "82.8M" "79.5M" "77.9M" "73.9M" "71.7M" "68.8M"
## [17] "66.3M" "64.2M" "62.6M" "62.3M" "59.7M" "58.6M" "58.1M" "57.6M"
## [25] "56.1M" "56M" "55.3M" "54.9M" "54.9M" "54.6M" "53.5M" "52.6M"
## [33] "51.2M" "49.6M" "49.1M" "47.9M" "47.6M" "46.6M" "46M" "44.7M"
## [41] "44.2M" "44.1M" "43.9M" "43.5M" "43.2M" "42.7M" "42.5M" "42.3M"
## [49] "41.8M" "41.5M" "41.5M" "41.5M" "40.1M" "39.8M" "39.7M" "39.3M"
## [57] "39M" "38.7M" "38.4M" "38.3M" "38.2M" "38.1M" "38M" "37.7M"
## [65] "37.7M" "37.4M" "37.3M" "37.3M" "37M" "36.8M" "36.7M" "36.5M"
## [73] "36.5M" "35.7M" "35.6M" "35.6M" "35.5M" "35M" "34.6M" "34.6M"
## [81] "34.5M" "34.3M" "34.3M" "34.1M" "34M" "34M" "33.7M" "33.6M"
## [89] "33.4M" "33.2M" "33.1M" "33M" "33M" "33M" "32.8M" "32.5M"
## [97] "32.1M" "32M" "31.9M" "31.9M" "31.6M" "31.4M" "31.3M" "31.3M"
## [105] "31.2M" "31M" "30.8M" "30.8M" "30.6M" "30.6M" "30.4M" "30.2M"
## [113] "30.1M" "30M" "29.9M" "29.8M" "29.4M" "29.3M" "29.1M" "29M"
## [121] "29M" "29M" "28.9M" "28.8M" "28.8M" "28.8M" "28.8M" "28.7M"
## [129] "28.6M" "28.4M" "28.3M" "28.1M" "28M" "28M" "27.8M" "27.8M"
## [137] "27.4M" "27.2M" "27.1M" "26.9M" "26.8M" "26.8M" "26.6M" "26.6M"
## [145] "26.3M" "26.3M" "26.2M" "26.1M" "25.9M" "25.9M" "25.8M" "25.8M"
## [153] "25.8M" "25.7M" "25.7M" "25.6M" "25.4M" "25.4M" "25.3M" "25.3M"
## [161] "25.3M" "25.1M" "25.1M" "25M" "24.9M" "24.9M" "24.7M" "24.7M"
## [169] "24.7M" "24.6M" "24.5M" "24.4M" "24.3M" "24.3M" "24.2M" "24.2M"
## [177] "24.1M" "24.1M" "24M" "23.9M" "23.9M" "23.9M" "23.8M" "23.7M"
## [185] "23.6M" "23.4M" "23.4M" "23.3M" "23.3M" "23.3M" "23.3M" "23.2M"
## [193] "23.2M" "23.1M" "23.1M" "23.1M" "23.1M" "23M" "23M" "23M"
## [201] "22.9M" "22.9M" "22.8M" "22.7M" "22.7M" "22.7M" "22.7M" "22.5M"
## [209] "22.5M" "22.3M" "22.3M" "22.3M" "22.3M" "22.3M" "22.2M" "22.2M"
## [217] "22.2M" "22.1M" "22.1M" "22.1M" "22.1M" "21.9M" "21.9M" "21.8M"
## [225] "21.7M" "21.6M" "21.6M" "21.6M" "21.5M" "21.4M" "21.4M" "21.3M"
## [233] "21.3M" "21.1M" "20.9M" "20.9M" "20.9M" "20.9M" "20.9M" "20.7M"
## [241] "20.7M" "20.6M" "20.6M" "20.5M" "20.5M" "20.5M" "20.5M" "20.4M"
## [249] "20.4M" "20.3M" "20.3M" "20.3M" "20.3M" "20.2M" "20.2M" "20.2M"
## [257] "20.2M" "20.2M" "20.1M" "20.1M" "20.1M" "20.1M" "20.1M" "20M"
## [265] "20M" "19.9M" "19.9M" "19.9M" "19.9M" "19.9M" "19.8M" "19.8M"
## [273] "19.7M" "19.7M" "19.7M" "19.7M" "19.7M" "19.6M" "19.6M" "19.5M"
## [281] "19.5M" "19.5M" "19.5M" "19.5M" "19.4M" "19.3M" "19.3M" "19.2M"
## [289] "19.2M" "19.2M" "19.1M" "19.1M" "19.1M" "19.1M" "19.1M" "19M"
## [297] "19M" "19M" "18.9M" "18.9M" "18.8M" "18.7M" "18.7M" "18.7M"
## [305] "18.7M" "18.7M" "18.7M" "18.6M" "18.6M" "18.5M" "18.5M" "18.5M"
## [313] "18.5M" "18.5M" "18.5M" "18.5M" "18.4M" "18.4M" "18.3M" "18.3M"
## [321] "18.3M" "18.3M" "18.3M" "18.2M" "18.2M" "18.2M" "18.2M" "18.1M"
## [329] "18.1M" "18M" "18M" "18M" "18M" "17.9M" "17.9M" "17.9M"
## [337] "17.9M" "17.9M" "17.9M" "17.8M" "17.7M" "17.7M" "17.7M" "17.7M"
## [345] "17.7M" "17.6M" "17.6M" "17.6M" "17.6M" "17.6M" "17.6M" "17.5M"
## [353] "17.5M" "17.5M" "17.5M" "17.4M" "17.4M" "17.3M" "17.3M" "17.3M"
## [361] "17.3M" "17.2M" "17.2M" "17.2M" "17.2M" "17.1M" "17.1M" "17M"
## [369] "17M" "17M" "17M" "17M" "16.9M" "16.9M" "16.9M" "16.9M"
## [377] "16.8M" "16.8M" "16.8M" "16.8M" "16.8M" "16.7M" "16.7M" "16.7M"
## [385] "16.6M" "16.6M" "16.6M" "16.6M" "16.6M" "16.5M" "16.4M" "16.4M"
## [393] "16.4M" "16.4M" "16.4M" "16.4M" "16.4M" "16.4M" "16.3M" "16.3M"
## [401] "16.3M" "16.2M" "16.2M" "16.2M" "16.2M" "16.2M" "16.2M" "16.1M"
## [409] "16.1M" "16M" "16M" "16M" "16M" "16M" "16M" "16M"
## [417] "16M" "15.9M" "15.9M" "15.8M" "15.8M" "15.8M" "15.8M" "15.8M"
## [425] "15.8M" "15.8M" "15.7M" "15.7M" "15.7M" "15.7M" "15.6M" "15.6M"
## [433] "15.6M" "15.6M" "15.6M" "15.5M" "15.5M" "15.5M" "15.4M" "15.4M"
## [441] "15.4M" "15.4M" "15.4M" "15.4M" "15.3M" "15.3M" "15.3M" "15.3M"
## [449] "15.3M" "15.3M" "15.2M" "15.2M" "15.2M" "15.2M" "15.2M" "15.2M"
## [457] "15.2M" "15.2M" "15.2M" "15.2M" "15.1M" "15.1M" "15.1M" "15M"
## [465] "15M" "15M" "15M" "15M" "15M" "15M" "15M" "14.9M"
## [473] "14.9M" "14.9M" "14.9M" "14.9M" "14.9M" "14.9M" "14.8M" "14.8M"
## [481] "14.8M" "14.8M" "14.8M" "14.8M" "14.8M" "14.8M" "14.8M" "14.8M"
## [489] "14.8M" "14.7M" "14.7M" "14.7M" "14.7M" "14.7M" "14.7M" "14.6M"
## [497] "14.6M" "14.6M" "14.6M" "14.6M" "14.6M" "14.6M" "14.6M" "14.6M"
## [505] "14.6M" "14.6M" "14.6M" "14.5M" "14.5M" "14.5M" "14.5M" "14.5M"
## [513] "14.4M" "14.4M" "14.4M" "14.4M" "14.4M" "14.4M" "14.4M" "14.4M"
## [521] "14.4M" "14.4M" "14.3M" "14.3M" "14.2M" "14.2M" "14.2M" "14.2M"
## [529] "14.2M" "14.2M" "14.2M" "14.2M" "14.2M" "14.2M" "14.2M" "14.2M"
## [537] "14.2M" "14.2M" "14.1M" "14.1M" "14.1M" "14.1M" "14M" "14M"
## [545] "14M" "14M" "14M" "14M" "14M" "14M" "13.9M" "13.9M"
## [553] "13.9M" "13.9M" "13.9M" "13.9M" "13.9M" "13.9M" "13.8M" "13.8M"
## [561] "13.8M" "13.8M" "13.8M" "13.8M" "13.7M" "13.7M" "13.7M" "13.7M"
## [569] "13.7M" "13.7M" "13.7M" "13.7M" "13.6M" "13.6M" "13.6M" "13.6M"
## [577] "13.6M" "13.6M" "13.6M" "13.6M" "13.5M" "13.5M" "13.5M" "13.5M"
## [585] "13.5M" "13.5M" "13.5M" "13.4M" "13.4M" "13.4M" "13.4M" "13.4M"
## [593] "13.3M" "13.3M" "13.3M" "13.3M" "13.3M" "13.3M" "13.3M" "13.2M"
## [601] "13.2M" "13.2M" "13.2M" "13.2M" "13.2M" "13.2M" "13.2M" "13.2M"
## [609] "13.1M" "13.1M" "13.1M" "13.1M" "13M" "13M" "13M" "13M"
## [617] "13M" "13M" "13M" "13M" "13M" "13M" "13M" "13M"
## [625] "13M" "12.9M" "12.9M" "12.9M" "12.9M" "12.9M" "12.9M" "12.9M"
## [633] "12.9M" "12.9M" "12.9M" "12.8M" "12.8M" "12.8M" "12.8M" "12.8M"
## [641] "12.8M" "12.8M" "12.8M" "12.8M" "12.8M" "12.7M" "12.7M" "12.7M"
## [649] "12.7M" "12.7M" "12.7M" "12.7M" "12.7M" "12.7M" "12.7M" "12.7M"
## [657] "12.6M" "12.6M" "12.6M" "12.6M" "12.6M" "12.6M" "12.6M" "12.6M"
## [665] "12.6M" "12.6M" "12.6M" "12.6M" "12.6M" "12.6M" "12.6M" "12.5M"
## [673] "12.5M" "12.5M" "12.5M" "12.5M" "12.5M" "12.5M" "12.5M" "12.5M"
## [681] "12.5M" "12.5M" "12.5M" "12.5M" "12.5M" "12.5M" "12.5M" "12.4M"
## [689] "12.4M" "12.4M" "12.4M" "12.4M" "12.4M" "12.4M" "12.4M" "12.4M"
## [697] "12.4M" "12.3M" "12.3M" "12.3M" "12.3M" "12.3M" "12.3M" "12.3M"
## [705] "12.3M" "12.2M" "12.2M" "12.2M" "12.2M" "12.2M" "12.2M" "12.2M"
## [713] "12.2M" "12.2M" "12.1M" "12.1M" "12.1M" "12.1M" "12.1M" "12.1M"
## [721] "12.1M" "12.1M" "12M" "12M" "12M" "12M" "12M" "12M"
## [729] "12M" "12M" "11.9M" "11.9M" "11.9M" "11.9M" "11.9M" "11.9M"
## [737] "11.9M" "11.9M" "11.8M" "11.8M" "11.8M" "11.8M" "11.8M" "11.8M"
## [745] "11.8M" "11.8M" "11.8M" "11.8M" "11.8M" "11.8M" "11.8M" "11.8M"
## [753] "11.8M" "11.8M" "11.8M" "11.8M" "11.7M" "11.7M" "11.7M" "11.7M"
## [761] "11.7M" "11.7M" "11.7M" "11.7M" "11.7M" "11.7M" "11.7M" "11.7M"
## [769] "11.7M" "11.7M" "11.6M" "11.6M" "11.6M" "11.6M" "11.6M" "11.6M"
## [777] "11.6M" "11.6M" "11.5M" "11.5M" "11.5M" "11.5M" "11.5M" "11.5M"
## [785] "11.5M" "11.4M" "11.4M" "11.4M" "11.4M" "11.4M" "11.4M" "11.4M"
## [793] "11.4M" "11.4M" "11.4M" "11.4M" "11.4M" "11.4M" "11.4M" "11.4M"
## [801] "11.3M" "11.3M" "11.3M" "11.3M" "11.3M" "11.3M" "11.3M" "11.3M"
## [809] "11.3M" "11.3M" "11.3M" "11.3M" "11.3M" "11.3M" "11.2M" "11.2M"
## [817] "11.2M" "11.2M" "11.2M" "11.2M" "11.2M" "11.2M" "11.2M" "11.2M"
## [825] "11.2M" "11.2M" "11.1M" "11.1M" "11.1M" "11.1M" "11.1M" "11.1M"
## [833] "11.1M" "11.1M" "11.1M" "11.1M" "11.1M" "11.1M" "11.1M" "11.1M"
## [841] "11.1M" "11.1M" "11.1M" "11.1M" "11.1M" "11M" "11M" "11M"
## [849] "11M" "11M" "11M" "11M" "11M" "11M" "11M" "11M"
## [857] "11M" "11M" "11M" "11M" "10.9M" "10.9M" "10.9M" "10.9M"
## [865] "10.9M" "10.9M" "10.9M" "10.9M" "10.9M" "10.9M" "10.9M" "10.9M"
## [873] "10.8M" "10.8M" "10.8M" "10.8M" "10.8M" "10.8M" "10.8M" "10.8M"
## [881] "10.8M" "10.8M" "10.8M" "10.8M" "10.8M" "10.8M" "10.8M" "10.8M"
## [889] "10.8M" "10.7M" "10.7M" "10.7M" "10.7M" "10.7M" "10.7M" "10.7M"
## [897] "10.7M" "10.7M" "10.7M" "10.6M" "10.6M" "10.6M" "10.6M" "10.6M"
## [905] "10.6M" "10.6M" "10.6M" "10.6M" "10.6M" "10.6M" "10.6M" "10.6M"
## [913] "10.6M" "10.6M" "10.6M" "10.6M" "10.6M" "10.6M" "10.6M" "10.6M"
## [921] "10.5M" "10.5M" "10.5M" "10.5M" "10.5M" "10.5M" "10.5M" "10.5M"
## [929] "10.5M" "10.5M" "10.5M" "10.5M" "10.5M" "10.5M" "10.5M" "10.5M"
## [937] "10.5M" "10.4M" "10.4M" "10.4M" "10.4M" "10.4M" "10.4M" "10.4M"
## [945] "10.4M" "10.4M" "10.4M" "10.4M" "10.4M" "10.4M" "10.4M" "10.4M"
## [953] "10.4M" "10.4M" "10.4M" "10.4M" "10.4M" "10.4M" "10.4M" "10.3M"
## [961] "10.3M" "10.3M" "10.3M" "10.3M" "10.3M" "10.3M" "10.3M" "10.3M"
## [969] "10.3M" "10.3M" "10.3M" "10.3M" "10.3M" "10.3M" "10.3M" "10.3M"
## [977] "10.2M" "10.2M" "10.2M" "10.2M" "10.2M" "10.2M" "10.2M" "10.2M"
## [985] "10.2M" "10.2M" "10.1M" "10.1M" "10.1M" "10.1M" "10.1M" "10.1M"
## [993] "10.1M" "10.1M" "10.1M" "10.1M" "10.1M" "10.1M" "10.1M" "10.1M"
## [1001] "10.3M" "10.3M" "10.2M"