# {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
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## 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 0is.data.frame(nv2.1)## [1] TRUElength(nv2.1)## [1] 9names(nv2.1)## [1] "id" "year" "bwt" "gestation" "parity" "age"
## [7] "height" "weight" "smoke"dim(nv2.1)## [1] 640 9library(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 1tail(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 0str(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
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## [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
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## [631,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [632,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [635,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [640,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSEsum(is.na(nv2.1))## [1] 0which(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
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## 603 3 110
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## 606 6 127
## 607 7 128
## 608 8 108
## 609 1 99
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## 611 3 105
## 612 4 116
## 613 5 123
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## 617 1 149
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## 619 3 125
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## 621 5 120
## 622 6 129
## 623 7 137
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## 625 1 129
## 626 2 158
## 627 3 78
## 628 4 133
## 629 5 140
## 630 6 114
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## 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
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## 594 2 1999 124 283 1 33 67 156 1
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## 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
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## 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
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## 609 1 2001 99 272 0 27 62 103 1
## 611 3 2001 105 276 0 20 62 112 1
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## 620 4 2002 129 277 0 27 68 130 1
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## 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
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## 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
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## 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
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## 397 5 1974 145 290 1 24 67 125 0
## 398 6 1974 96 241 0 23 64 130 1
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## 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
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## 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
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## 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
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## 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
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## 419 3 1977 99 285 0 25 69 128 1
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## 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
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## 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
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## 497 1 1987 104 282 0 36 65 115 1
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## 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
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## 507 3 1988 100 270 1 21 65 132 1
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## 509 5 1988 116 276 0 33 61 180 0
## 510 6 1988 132 286 0 26 67 122 1
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## 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
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## 523 3 1990 127 276 0 37 64 159 0
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## 525 5 1990 139 279 0 20 64 143 0
## 526 6 1990 69 232 0 31 59 103 1
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## 546 2 1993 139 281 0 27 63 137 0
## 547 3 1993 122 273 1 23 64 130 1
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## 549 5 1993 131 297 0 30 67 132 0
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## 551 7 1993 126 251 1 28 64 123 0
## 552 8 1993 100 264 0 28 60 111 1
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## 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
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## 563 3 1995 137 303 1 23 66 127 1
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## 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 1str(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 0library(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 215Tiến 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 thườngTa 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 67stem(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
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## 385 385 Blippi - Educational Videos for Kids
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## 406 406 Zappy Toons - Hindi Nursery Rhymes and Stories
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## 733 733 KaKa Kids TV - Nursery Rhymes Kids Animated Songs
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## 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
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## 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
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## 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
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## 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
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## 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
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## 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
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## 737 Black Eyed Peas Music & Dance
## 738 Rubius Z Movies
## 739 Hero Movies 2022 Daily vlogs
## 740 MBC مصر
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## 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
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## 782 ExpCaseros DIY & Life Hacks
## 783 The Viral Fever Movies
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## 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
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## 825 Kênh Thiếu Nhi - BHMEDIA Music & Dance
## 826 Chotoonz TV - Funny Cartoons for Kids
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## 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
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## 841 Painzeiro Daily vlogs
## 842 hasanjr11
## 843 HISTORY Movies
## 844 JP Plays Video games
## 845 RDC Gujarati Music & Dance
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## 847 СТС Video games
## 848 Levinho
## 849 핑크퐁 (인기 동요・동화) Education
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## 852 Pen Multiplex
## 853 Slogo Video games
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## 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
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## 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
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## 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
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## 926 CS Bisht Vines
## 927 Willie Salim
## 928 Farjana Drawing Academy
## 929 Heroine Movies 2022 Daily vlogs
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## 931 Viki Show Video games
## 932 Receitas de Pai Food & Drinks
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## 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
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## 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
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## 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
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## 985 Roshan Zindagi Education
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## 987 مصطفى GAME OVER
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## 989 RUOK
## 990 Sab Kuchh Sekho Jano News & Politics
## 991 Harpreet SDC
## 992 Fox News News & Politics
## 993 Santa Fe Klan Official Music & Dance
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## 999 Classic Mr Bean
## 1000 Anupam Movie Songs Music & Dance
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## 1002 Wylsacom Science & Technology
## 1003 Eagle Home Entertainments
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## 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
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## 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
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## 452 15.2M India 13K 128 5
## 453 15.2M 39.1K 0 2
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## 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
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## 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
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## 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
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## 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
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## 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
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## 536 14.2M Mexico 403K 22.9K 448
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## 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
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## 553 13.9M 248.6K 1.5K 0
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## 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
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## 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
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## 568 13.7M United States 0 0 0
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## 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
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## 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
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## 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
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## 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
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## 701 12.3M India 3.1K 0 5
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## 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
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## 709 12.2M Saudi Arabia 611.6K 55.3K 2.3K
## 710 12.2M United States 35.4K 262 17
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## 712 12.2M 1.5M 4.1K 0
## 713 12.2M United States 134.9K 8.8K 459
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## 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
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## 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
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## 747 11.8M United States 3M 8.6K 178
## 748 11.8M 181.4K 890 0
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## 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
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## 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
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## 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
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## 769 Toys
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## 771 Animation
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## 773 Movies
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## 776 Animation
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## 779 Humor
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## 781 Humor
## 782 Food & Drinks
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## 820 Movies
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## 840 Science & Technology
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## 868 Humor
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## 874 Food & Drinks
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## 878 Humor
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## 884 Humor
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## 886 Animation
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## 893 Movies
## 894 Humor
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## 897 Humor
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## 902 Humor
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## 904 Humor
## 905
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## 907 Design/art
## 908 Humor
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## 911 Movies
## 912
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## 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
## 1003is.data.frame(bo)## [1] TRUElength(bo)## [1] 10names(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 10library(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 91tail(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 0is.na(bo)## s.no Youtube.channel youtuber.name Category Followers Country
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## [1003,] FALSE FALSE FALSE FALSEsum(is.na(bo))## [1] 0which(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 4.5Kbo1 <- 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
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## youtuber.name
## 1 T-Series
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## 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 Entertainmentsbo2 <- bo[c(2,3,4),c(2,3)]
bo2## Youtube.channel youtuber.name
## 2 setindia SET India
## 3 checkgate Cocomelon - Nursery Rhymes
## 4 MrBeast MrBeastF <- 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"