Data Cleaning
Muharakhmi Arrizki
2026-04-28
Korelasi Kekakuan Kulit dan Tekanan pada Telapak Kaki
Data Rumah Sakit berikut akan dibersihkan dengan tujuan
atau fokus utama untuk memahami bagaimana kondisi Diabetes
Melitus mempengaruhi karakteristik kulit dan distribusi tekanan
darah pada telapak kaki subjek.
Tujuan Penelitian :
- Analisa Biostatistika: Mengidentifikasi korelasi antara kekakuan kulit (Skin Stiffness) dengan tekanan darah/tekanan mekanik pada telapak kaki (Peak Plantar Pressure).
- Studi Komparatif: Membandingkan parameter sirkulasi dan suhu tubuh antara kelompok pasien Diabetic dan Non-Diabetic.
- Integritas Data: Melakukan de-identifikasi data (anonimitas) dan penanganan missing value secara saintifik untuk menjamin validitas hasil uji statistik.
Step 1 (Checking library and importing data)
library(naniar)
library(tidyverse)## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.2.1 ✔ readr 2.2.0
## ✔ forcats 1.0.1 ✔ stringr 1.6.0
## ✔ ggplot2 4.0.3 ✔ tibble 3.3.1
## ✔ lubridate 1.9.5 ✔ tidyr 1.3.2
## ✔ purrr 1.2.2
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errorsd <- read.csv("hospital_dataset.csv")Step 2 (Data Introduction)
Struktur data dan tipe kolom
glimpse(d)## Rows: 700
## Columns: 8
## $ Nama <chr> "Michael Anderson", "N/A", "Tan Wei Ming", "…
## $ Tanggal_Lahir <chr> "01/04/1957", "20/09/1975", "12/04/1965", "1…
## $ Tensi <chr> "112/67", "140 / 91", "134/72", "120/79", "9…
## $ Skin_Stiffness_N_per_mm <dbl> 0.69, 1.50, 0.76, 1.92, 0.81, 0.61, 1.04, 2.…
## $ Microcirculation_PU <dbl> 42.0, 41.9, 26.3, NA, 25.5, 42.2, 2.0, 9.5, …
## $ Suhu_Tubuh_Celcius <chr> "37.6", "36.5°C", "37.5", "37.0", "36.0", "3…
## $ Penyakit <chr> "Non-Diabetic", "Non-Diabetic", "Non-Diabeti…
## $ Peak_Plantar_Pressure_kPa <dbl> 294.0, NA, 431.8, 577.5, 502.3, 201.4, 512.8…Ringkasan statistik
summary(d)## Nama Tanggal_Lahir Tensi Skin_Stiffness_N_per_mm
## Length :700 Length :700 Length :700 Min. : -2.180
## N.unique : 59 N.unique :636 N.unique :547 1st Qu.: 0.700
## N.blank : 40 N.blank : 42 N.blank : 47 Median : 1.100
## Min.nchar: 0 Min.nchar: 0 Min.nchar: 0 Mean : 1.342
## Max.nchar: 16 Max.nchar: 17 Max.nchar: 14 3rd Qu.: 1.595
## Max. :150.000
## NAs :37
## Microcirculation_PU Suhu_Tubuh_Celcius Penyakit
## Min. : -32.50 Length :700 Length :700
## 1st Qu.: 18.00 N.unique : 41 N.unique : 16
## Median : 27.70 N.blank : 49 N.blank : 45
## Mean : 35.58 Min.nchar: 0 Min.nchar: 0
## 3rd Qu.: 39.00 Max.nchar: 12 Max.nchar: 12
## Max. :5000.00
## NAs :50
## Peak_Plantar_Pressure_kPa
## Min. : -100.0
## 1st Qu.: 268.6
## Median : 384.3
## Mean : 991.9
## 3rd Qu.: 508.5
## Max. :99999.0
## NAs :43Jumlah nilai yang hilang
colSums(is.na(d))## Nama Tanggal_Lahir Tensi
## 0 0 0
## Skin_Stiffness_N_per_mm Microcirculation_PU Suhu_Tubuh_Celcius
## 37 50 0
## Penyakit Peak_Plantar_Pressure_kPa
## 0 43Step 3 (handling inconsistency data and missing value)
- Memanggil data (variabel d = data)
d## Nama Tanggal_Lahir Tensi Skin_Stiffness_N_per_mm
## 1 Michael Anderson 01/04/1957 112/67 0.69
## 2 N/A 20/09/1975 140 / 91 1.50
## 3 Tan Wei Ming 12/04/1965 134/72 0.76
## 4 Shen Yi-Ching 11/09/1980 120/79 1.92
## 5 Kung Mei-Lin 22/08/1985 99/77 0.81
## 6 Ho Chuan-Wei 10/08/1962 149/65 0.61
## 7 18/01/1994 110/71 1.04
## 8 Betty Lewis 02/08/1982 108/67 2.24
## 9 Joseph Garcia 06/12/1982 0.18
## 10 Ong Lay Kheng 26/02/1951 128/78 NA
## 11 Lin Mei-Ling 16/02/1944 113/75 0.25
## 12 Tan Ah Kow 113/68 0.87
## 13 Tan Wei Ming 03/10/1946 105/90 1.92
## 14 N/A 02/11/1957 128/62 1.07
## 15 Hsu Kuo-Chang 18/03/1973 102/80 0.38
## 16 Lee Siew Eng 04/07/1964 135/64 0.42
## 17 John Smith 1967 106/67 0.83
## 18 Karen Thompson 08/02/1988 121/91 0.71
## 19 Chou Mei-Yu 02/05/1996 106/83 2.13
## 20 Ho Chuan-Wei 24/02/1988 103/83 0.23
## 21 25/08/1987 129/66 1.10
## 22 Ho Chuan-Wei 19/11/1946 93/70 0.46
## 23 Barbara Taylor 07/11/1977 111/67 NA
## 24 Shen Yi-Ching 06/03/1982 127/85 1.60
## 25 Lin Mei-Ling 19/02/1969 121/92 0.46
## 26 Cheng Shu-Fen 05/11/1965 0.78
## 27 Yen Kuo-Jung 07/07/1985 119/86 1.67
## 28 Charles Clark 22/09/2001 135/78 1.26
## 29 Chang Chung-Wei 29/12/2001 129/69 1.17
## 30 Ong Lay Kheng 05/11/2001 118/92 0.50
## 31 Joseph Walker 30/04/1989 87/76 0.65
## 32 William Thomas 30/11/1944 103/76 NA
## 33 Fang Shu-Chen 10/05/1946 105/88 NA
## 34 Tseng Wen-Liang 17/11/1942 134/73 1.17
## 35 Tung Li-Fang 17/09/1972 129/90 1.63
## 36 Charles Clark 18/08/1971 115/74 1.99
## 37 Hsieh Shu-Hui 19/05/1988 0.89
## 38 Robert Wilson 01/02/1951 126/65 0.74
## 39 Pasien 08/06/1951 122/77 -2.18
## 40 UNKNOWN 129/80 1.64
## 41 Linda Martinez 12/11/1940 153/68 mmHg 0.72
## 42 Barbara Taylor 03/05/1993 99/97 -1.50
## 43 Robert Wilson 16/05/1970 1.12
## 44 Fang Shu-Chen 26/09/1951 134/66 1.31
## 45 Richard Martin 12/05/1992 114/60 0.65
## 46 Fang Shu-Chen 29/07/1942 128/85 0.79
## 47 Huang Li-Chen 11/07/1989 101 / 96 0.47
## 48 122/69 0.67
## 49 Kung Mei-Lin 16/09/1967 117/83 1.76
## 50 Cheng Shu-Fen 11/01/1958 93/78 2.26
## 51 Nancy Robinson 05/10/1970 132/74 1.67
## 52 Cheng Shu-Fen 03/08/1942 0.49
## 53 Jessica White 16/03/1947 101/78 0.95
## 54 Richard Martin 03/10/1989 124/93 1.65
## 55 Richard Martin 04/03/1992 122/62 0.94
## 56 Helen Hall 23/04/1952 132/66 2.03
## 57 Robert Wilson 27/11/2005 121/60 0.88
## 58 Susan Jackson 10/11/1959 119/83 0.94
## 59 Lu Hsiang-Ling 143/93 1.21
## 60 Huang Li-Chen 106/74 0.95
## 61 Tseng Wen-Liang 1977 108/68 0.56
## 62 Linda Martinez 17/03/1966 133/85 1.68
## 63 Barbara Taylor 10/01/1992 121/70 0.10
## 64 Lee Siew Eng 1980 121/71 1.07
## 65 John Smith 20-02-2003 123/65 1.53
## 66 Ong Lay Kheng 16/03/1995 132/76 0.84
## 67 ??? 31/10/1971 102/94 1.24
## 68 Barbara Taylor 27/07/1989 111/72 0.84
## 69 Ng Boon Hua 29/04/1990 114/79 2.07
## 70 Wu Ming-Hui 06/11/1991 136/75 1.13
## 71 Tsai Chin-Lung 140/80 2.90
## 72 05/12/1964 133/85 0.41
## 73 Yang Hsiu-Mei 26/01/2001 105/81 0.74
## 74 Shen Yi-Ching 26/05/1992 115/74 NA
## 75 Tung Li-Fang 17/02/1954 121/55 0.97
## 76 Tsai Chin-Lung 23/12/1943 126/84 1.24
## 77 Ng Boon Hua 06/09/1941 131/93 1.05
## 78 William Thomas 20/11/1952 150 0.36
## 79 Kung Mei-Lin 08/05/1959 117/83 1.76
## 80 Kung Mei-Lin 17/05/1973 112/86 NA
## 81 James Brown 30/10/1983 125/77 0.41
## 82 Wu Ming-Hui 01/12/1991 136/69 0.33
## 83 Cheng Shu-Fen 22/04/1999 1.78
## 84 Lu Hsiang-Ling 07/06/1982 110/70 0.64
## 85 Patricia Davis 01/10/1985 117/75 1.80
## 86 Yen Kuo-Jung 27/07/1978 96/81 1.05
## 87 Kung Mei-Lin 01/10/1989 113/49 NA
## 88 Wu Ming-Hui 22/04/1962 108/71 0.51
## 89 Barbara Taylor 98/82 0.55
## 90 Barbara Taylor 21/06/1978 123/94 0.66
## 91 Tsai Chin-Lung 29/10/1995 120/72 0.80
## 92 Hsieh Shu-Hui 19/11/1990 128/69 1.67
## 93 Ong Lay Kheng 11/10/1994 128/95 1.78
## 94 Lu Hsiang-Ling 27/04/1984 125/86 1.05
## 95 Patricia Davis 19/09/1974 128/91 1.11
## 96 Hsu Kuo-Chang 21/06/1981 158 / 62 1.99
## 97 Betty Lewis 23/03/1955 115/84 1.01
## 98 Shen Yi-Ching 02/09/1976 85/84 0.13
## 99 Liao Chih-Cheng 18/04/1954 132/73 1.05
## 100 Nancy Robinson 24/08/1968 125/47 0.41
## 101 Wang Jie 24/03/1962 134/101 1.25
## 102 Richard Martin 13/11/1962 117/80 0.54
## 103 Chang Chung-Wei 16/08/1975 1.04
## 104 Chang Chung-Wei 26/03/1988 139/94 1.89
## 105 Shen Yi-Ching 05/08/1993 109/77 1.53
## 106 01/01/1995 114/81 1.18
## 107 Yen Kuo-Jung 04/03/1946 119/93 1.17
## 108 Hsieh Shu-Hui 15/01/1967 96/73 1.43
## 109 Liu Hsiao-Fen 04/05/1963 122/74 1.81
## 110 Wang Jie 29/04/1999 128/81 0.83
## 111 Hsu Kuo-Chang 28/03/1940 121/73 -1.50
## 112 Jessica White 111/83 0.63
## 113 Lee Siew Eng 06/02/2000 109/82 0.83
## 114 Wang Jie 29/04/1951 97/77 0.31
## 115 Karen Thompson 09/12/1960 128/74 1.47
## 116 Fang Shu-Chen 28/03/1953 143/77 0.85
## 117 Ho Chuan-Wei 08/06/1969 98/62 0.52
## 118 Chiu Yu-Chin 09/05/1963 143/68 1.46
## 119 Pan Mei-Hsuan 05/07/1967 127/96 0.76
## 120 Huang Li-Chen 29/09/1978 117/78 1.29
## 121 Ng Boon Hua 17/11/1976 108/65 1.42
## 122 Susan Jackson 12/11/1953 117/82 0.30
## 123 Pan Mei-Hsuan 122/78 2.07
## 124 Ong Lay Kheng 14/04/1949 134/92 1.75
## 125 Karen Thompson 24/11/1996 102 / 71 NA
## 126 Barbara Taylor 06/03/1970 136/85 0.39
## 127 Mary Johnson 26/03/1995 127/111 1.75
## 128 Barbara Taylor 03/02/1992 1.72
## 129 Robert Wilson 31/05/2005 152/86 1.12
## 130 Tsai Chin-Lung 17/06/1989 1.13
## 131 Nancy Robinson 17/11/1952 142/90 1.05
## 132 Tung Li-Fang 14/11/1957 119/67 0.42
## 133 Chiu Yu-Chin 123/82 1.00
## 134 Tan Wei Ming 20/08/1979 123/82 0.56
## 135 Liu Hsiao-Fen 23/07/1985 113/69 NA
## 136 13/04/1967 100/77 0.74
## 137 Lee Siew Eng 11/11/1944 143-71 1.17
## 138 Liu Hsiao-Fen 29/05/1992 140/76 NA
## 139 Charles Clark 07/04/1979 116/80 1.94
## 140 09/09/1956 121/78 1.98
## 141 John Smith 29/06/1941 109/82 1.22
## 142 Chang Chung-Wei April 10, 1989 108/76 0.73
## 143 Patricia Davis 06/01/1985 131/86 0.10
## 144 Cheng Shu-Fen 05/03/1952 1.56
## 145 Joseph Garcia 04/06/1961 118/96 1.73
## 146 Yang Hsiu-Mei 20/05/1953 132/83 1.74
## 147 Richard Martin 22/03/1949 118/79 1.06
## 148 Tan Wei Ming 28/01/1979 143/72 0.84
## 149 Patricia Davis 112/61 0.76
## 150 Fang Shu-Chen 24/04/1947 141/105 1.68
## 151 William Thomas 30/07/1982 101/88 2.08
## 152 David Harris 18/09/1948 135/68 2.08
## 153 Susan Jackson 11/04/1981 128/79 2.08
## 154 Fang Shu-Chen 05/12/1964 133/85 0.41
## 155 Hsieh Shu-Hui 13/03/1970 117/80 1.16
## 156 Robert Wilson 16/06/1961 105/84 1.66
## 157 17/06/1999 0.39
## 158 Susan Jackson 02/09/1998 86/92 0.83
## 159 Linda Martinez 24/10/1972 123/62 1.17
## 160 126/63 mmHg 0.10
## 161 Hsu Kuo-Chang 14/09/1980 123/69 1.11
## 162 William Thomas 18/12/1996 128/85 1.33
## 163 Chou Mei-Yu 01/02/1992 0.53
## 164 John Smith 20/03/1980 132/92 NA
## 165 Barbara Taylor 09/03/2005 0.94
## 166 25/06/1965 116/78 1.24
## 167 Tsai Chin-Lung 14-12-1963 131/60 1.39
## 168 Pan Mei-Hsuan 13/04/1954 115/78 1.71
## 169 Jessica White 06/11/1953 120/78 0.66
## 170 Tsai Chin-Lung 03/09/1948 129/93 1.36
## 171 Chen Wei 119/78 1.04
## 172 123456 1945 149/83 1.24
## 173 Patricia Davis 23/09/1953 118/83 1.45
## 174 Lee Siew Eng 23-08-1998 125/75 1.88
## 175 Wang Jie 07/02/1945 135/64 1.42
## 176 Tseng Wen-Liang 26/11/1957 110/78 0.74
## 177 James Brown 15/02/1990 119/83 -1.21
## 178 Mary Johnson 25/04/1992 123/97 1.02
## 179 Patricia Davis 21/01/1947 133/81 0.70
## 180 Liao Chih-Cheng 09/11/1951 130/81 1.61
## 181 Chiu Yu-Chin 07/04/2005 118/92 1.15
## 182 Lin Mei-Ling 19/01/1999 130/69 -0.53
## 183 Nancy Robinson 17/03/1954 142/89 1.74
## 184 Kung Mei-Lin 107/78 0.10
## 185 Ong Lay Kheng 19/07/1941 114/79 1.12
## 186 Robert Wilson 27/06/1962 134/70 1.52
## 187 22/09/1949 109/94 0.17
## 188 Yen Kuo-Jung 09/09/1999 131/70 0.70
## 189 David Harris 26/01/1998 106/71 2.27
## 190 Michael Anderson 13/08/1946 0.83
## 191 James Brown 22/10/1996 130/84 1.52
## 192 Pan Mei-Hsuan 24/12/1952 115/80 1.36
## 193 Charles Clark 12/08/1944 145/84 0.94
## 194 Yang Hsiu-Mei 09/11/1998 138/85 2.00
## 195 Patricia Davis 08/05/1972 110/81 1.28
## 196 Cheng Shu-Fen 06/01/1973 105/84 0.84
## 197 Michael Anderson 11/09/1943 116/72 0.73
## 198 Kao Chin-Feng 07/06/1982 130/72 1.25
## 199 Tsai Chin-Lung 125/66 0.79
## 200 02/21/1995 1.90
## 201 Wu Ming-Hui 124/76 0.49
## 202 Joseph Walker 06/06/1995 138/96 1.36
## 203 Betty Lewis 11/06/1992 103mmHg/81 0.56
## 204 Tung Li-Fang 121/70 0.56
## 205 Kao Chin-Feng 12/04/1970 118/62 0.32
## 206 Hsu Kuo-Chang 113/98 1.50
## 207 Tan Wei Ming 22/11/1999 124/85 1.73
## 208 Jessica White 25/05/1998 119/85 2.22
## 209 Lu Hsiang-Ling 12/05/1990 1.41
## 210 Chiu Yu-Chin 12/09/1957 131/86 1.32
## 211 Joseph Garcia 17/09/1982 136/94 1.56
## 212 Ng Boon Hua 0.97
## 213 Ng Boon Hua 24/11/2005 151 / 80 2.16
## 214 William Thomas 12/01/1968 0.73
## 215 David Harris 28/08/1979 115/87 0.99
## 216 Ho Chuan-Wei 11/07/1947 132/76 1.80
## 217 David Harris 27/03/1986 122/85 1.88
## 218 Helen Hall 21/06/1998 139/67 0.58
## 219 Ng Boon Hua 20/10/1955 142/75 1.55
## 220 Susan Jackson 29/04/1997 119/68 1.15
## 221 Pan Mei-Hsuan 21/01/1993 0.14
## 222 Betty Lewis 09/09/1956 121/78 1.98
## 223 Tseng Wen-Liang 12/11/1957 135/58 0.61
## 224 Richard Martin 07/03/1951 94/83 1.06
## 225 Tseng Wen-Liang 19/04/1980 116/72 0.16
## 226 Helen Hall 03/02/1973 128/71 1.61
## 227 Yang Hsiu-Mei 22/10/1990 117/95 1.45
## 228 Susan Jackson 157/67 0.86
## 229 Richard Martin 20/01/2003 135/80 1.39
## 230 Linda Martinez 02/06/1951 0.52
## 231 Karen Thompson 05-05-1994 127/75 1.63
## 232 Barbara Taylor 04/10/1959 110/88 2.02
## 233 Ng Boon Hua 06/09/1941 131/93 1.05
## 234 04/04/2002 101/86 1.59
## 235 Shen Yi-Ching 23/04/1991 154/113 1.84
## 236 Kao Chin-Feng 11/04/1994 125/110 0.93
## 237 Tung Li-Fang February 16, 1961 104/80 1.80
## 238 Nancy Robinson 19/12/1967 111/86 1.07
## 239 David Harris 29/11/1992 146/75 0.47
## 240 Lin Mei-Ling 19/08/1955 143/86 0.83
## 241 Kao Chin-Feng 08/09/1961 104/87 2.35
## 242 Barbara Taylor 03/02/1992 139/84 1.72
## 243 Mary Johnson 15/04/2004 121/61 1.85
## 244 Charles Clark 26/11/1997 92/90 NA
## 245 Kung Mei-Lin 21/08/1978 1.05
## 246 Ong Lay Kheng 04/12/1954 1.22
## 247 Lu Hsiang-Ling 20/04/1959 106/78 0.57
## 248 Tan Wei Ming 29/07/1990 111/69 0.29
## 249 Yang Hsiu-Mei 13/08/2001 115/60 0.55
## 250 29/11/1958 123/75 0.54
## 251 Chiu Yu-Chin 16/06/1941 128/81 0.69
## 252 Betty Lewis 06/06/1973 1.43
## 253 123456 30/11/1957 111/73 0.71
## 254 Joseph Walker 19/04/2003 123/69 1.69
## 255 Wu Ming-Hui 18/07/1985 94/67 0.72
## 256 Pasien 13/05/1968 0.10
## 257 Tseng Wen-Liang 17/05/1972 108/86 0.62
## 258 Ong Lay Kheng 20/09/1979 129/82 0.38
## 259 Liao Chih-Cheng 29/10/1941 116/85 1.01
## 260 Jessica White 16/03/1947 101/78 0.95
## 261 Ong Lay Kheng 13/12/1946 129/78 0.79
## 262 John Smith 20/03/1971 1.56
## 263 Nancy Robinson 02/07/1990 119/71 0.10
## 264 Yen Kuo-Jung 05/11/1958 159/78 1.42
## 265 Nancy Robinson 14/04/1986 147/88 1.23
## 266 Michael Anderson 18/09/1995 129/59 0.33
## 267 Yen Kuo-Jung 02/24/2002 119/83 1.66
## 268 Ng Boon Hua 05/07/1980 125/87 0.59
## 269 123456 31/05/1959 122/113 1.72
## 270 John Smith 26/07/1949 127/60 1.17
## 271 Patricia Davis 02/12/1972 144/67 1.83
## 272 Yen Kuo-Jung 11/02/1980 103/72 1.25
## 273 Susan Jackson 06/07/1977 125/75 NA
## 274 John Smith 12/07/1940 143/70 0.98
## 275 Karen Thompson 132/84 NA
## 276 Jessica White 14/05/1953 149/90 1.49
## 277 Betty Lewis 23/05/1988 121/96 1.66
## 278 Lin Mei-Ling 07/05/1950 111/77 NA
## 279 Tan Wei Ming 07/03/1977 119/78 1.47
## 280 Pan Mei-Hsuan 22/09/1940 124/92 0.75
## 281 Susan Jackson 11/11/1987 135/68 1.37
## 282 Hsu Kuo-Chang 19/11/1955 129/106 1.34
## 283 Chang Chung-Wei 22/09/1952 129/78 0.95
## 284 Ng Boon Hua 126/76 0.97
## 285 123456 10/04/1980 125/75 1.66
## 286 Lin Mei-Ling 03/02/1956 108/87 1.32
## 287 Pasien 04/12/1988 128/62 0.91
## 288 28/05/1948 116/83 1.14
## 289 David Harris 11/02/1984 114/91 0.97
## 290 Chang Chung-Wei 13/12/1975 118/84 1.71
## 291 Robert Wilson 19/10/1981 107/84 0.63
## 292 Hsu Kuo-Chang 15/09/1955 118/88 1.64
## 293 04/10/1956 91/80 0.10
## 294 Lu Hsiang-Ling 14/06/2001 94/74 0.56
## 295 08/12/1942 124/82 1.57
## 296 David Harris 26/08/1981 113/82 1.87
## 297 William Thomas 24/06/1994 144/97 1.61
## 298 Wu Ming-Hui 19/07/2002 119/73 1.18
## 299 James Brown 17/11/1981 122/56 0.30
## 300 Ng Boon Hua 12/01/1992 125/83 1.85
## 301 Tung Li-Fang 07 Nov 2004 155/71 1.61
## 302 Kao Chin-Feng 25/03/1996 113/77 0.42
## 303 David Harris 18/06/1961 133/100 NA
## 304 Linda Martinez 10/11/2000 NA
## 305 Chou Mei-Yu 23/02/1946 129/70 2.58
## 306 Pan Mei-Hsuan 24/11/1984 109/76 0.81
## 307 Mary Johnson 08/09/1959 143/69 2.27
## 308 Richard Martin 15/08/1969 1.42
## 309 Wu Ming-Hui 16/12/2002 136/92 0.98
## 310 Tung Li-Fang 14/08/1984 97/65 0.10
## 311 Pan Mei-Hsuan 03/07/1981 115/87 1.29
## 312 Hsieh Shu-Hui 16/12/1963 124/78 2.05
## 313 Linda Martinez 02/01/1980 113/89 0.69
## 314 Fang Shu-Chen 20/07/1985 108/72 0.21
## 315 Lin Mei-Ling 23/02/1944 117/85 1.58
## 316 Chang Chung-Wei 11/12/1949 105/68 1.57
## 317 Patricia Davis 114/63 1.40
## 318 Tan Wei Ming 21/10/1965 1.74
## 319 Tung Li-Fang 28/08/1991 139/74 1.03
## 320 Tung Li-Fang 06/12/1950 143/78 2.03
## 321 Ong Lay Kheng 143/73 2.28
## 322 Helen Hall 10/09/1954 155/83 1.45
## 323 Lu Hsiang-Ling 27/08/1987 146/75 0.85
## 324 Cheng Shu-Fen 30/12/1963 94/89 NA
## 325 Chen Wei 17/05/1965 121/77 1.09
## 326 Charles Clark 126/97 1.10
## 327 Tseng Wen-Liang 16/09/1949 151/74 0.87
## 328 unknown 02/06/1981 131/73 0.86
## 329 01/01/1969 134/76 0.87
## 330 Ong Lay Kheng 15/04/1977 118/81 1.76
## 331 Lu Hsiang-Ling 17/11/1997 139/84 0.99
## 332 Richard Martin 19/03/1970 132/96 2.51
## 333 Tan Ah Kow 07/11/1967 116/71 0.83
## 334 Shen Yi-Ching 27/03/1974 131/89 1.23
## 335 Patricia Davis 23/10/1988 136/77 1.76
## 336 Liu Hsiao-Fen 27/04/1966 110/78 0.58
## 337 Richard Martin 06/04/1950 0.68
## 338 Shen Yi-Ching 28/04/1947 97/71 NA
## 339 Tseng Wen-Liang 03/05/1985 115/100 1.59
## 340 29/10/1961 119/81 0.12
## 341 Jessica White 20/06/1969 102/88 0.36
## 342 Betty Lewis 23/05/1988 121/96 1.66
## 343 Wang Jie 13/01/1998 103/74 0.10
## 344 Hsu Kuo-Chang 12/01/1987 111/83 0.19
## 345 Wang Jie 13/01/1998 154mmHg/89 0.10
## 346 Fang Shu-Chen 20/10/1968 100/77 1.44
## 347 Ong Lay Kheng 25/09/1988 114/67 0.98
## 348 Joseph Garcia 17/05/1945 112/76 1.41
## 349 Ong Lay Kheng 113/83 1.78
## 350 Joseph Walker 24/04/2000 2.12
## 351 Betty Lewis 112/62 0.58
## 352 Pan Mei-Hsuan 07/01/2000 124/91 1.21
## 353 Karen Thompson 04/03/1959 121/86 1.42
## 354 Lu Hsiang-Ling 17/11/1997 139/84 0.99
## 355 James Brown 11/01/1956 137/70 0.97
## 356 Richard Martin 19/12/1950 123/65 0.71
## 357 Lin Mei-Ling 08/03/1956 126/88 0.50
## 358 Hsu Kuo-Chang 03/08/1969 97/76 1.28
## 359 Michael Anderson 02 Feb 1967 92/67 1.14
## 360 Tan Ah Kow 137/81 0.93
## 361 Tan Wei Ming 27/11/1962 136/65 1.02
## 362 Karen Thompson 05/03/1991 110/63 0.70
## 363 Lu Hsiang-Ling 29/10/1992 111/71 NA
## 364 08/03/1948 117/80 1.10
## 365 Hsu Kuo-Chang 31/12/1973 1.72
## 366 Kao Chin-Feng 17/08/1997 138/77 1.88
## 367 Charles Clark 22/09/2001 135/78 1.26
## 368 Wu Ming-Hui 23/01/1961 124/75 1.40
## 369 Charles Clark 13/12/1998 142/81 1.15
## 370 Tseng Wen-Liang 14/02/1942 133/93 1.93
## 371 Ong Lay Kheng 15/04/1991 105/83 2.00
## 372 Pan Mei-Hsuan 148/102 2.42
## 373 Shen Yi-Ching 05/02/1957 114/77 1.39
## 374 Tsai Chin-Lung 02/09/1964 1.75
## 375 Nancy Robinson 12/03/1959 126/77 1.65
## 376 Linda Martinez 22/12/1972 121/65 0.51
## 377 Lee Siew Eng 27/07/1983 133/79 1.75
## 378 Pan Mei-Hsuan 26/10/1977 118/81 0.72
## 379 Pan Mei-Hsuan 01/06/1997 114/68 0.39
## 380 Tan Ah Kow 24/09/1951 0.77
## 381 Chang Chung-Wei 03/07/2003 120/89 2.20
## 382 Chang Chung-Wei 01/02/1968 144/67 0.53
## 383 Liao Chih-Cheng 16/12/1950 78/76 0.88
## 384 NULL 10/11/1982 131/81 1.24
## 385 Liu Hsiao-Fen 04/07/1998 115/82 1.26
## 386 Richard Martin 03/03/1971 123/76 0.89
## 387 Tan Wei Ming 24/01/1992 129/75 0.58
## 388 Mary Johnson 08/11/1975 128/76 1.04
## 389 Ho Chuan-Wei 30/03/1986 115/85 NA
## 390 Tan Wei Ming 16/07/1950 100/74 1.29
## 391 Wang Jie 13/10/1959 101/100 1.36
## 392 Kung Mei-Lin 14/09/1989 117/88 1.61
## 393 Pan Mei-Hsuan 02/01/2005 119/61 1.12
## 394 Tsai Chin-Lung 01/05/1941 126/96 1.76
## 395 Lu Hsiang-Ling 21/08/1952 139/72 1.33
## 396 Lu Hsiang-Ling 30/10/1963 156/76 0.76
## 397 28/05/1957 128/64 0.71
## 398 Chang Chung-Wei 07/12/1970 100/84 0.72
## 399 Linda Martinez 19/05/1945 133/64 1.46
## 400 Tan Wei Ming 25/11/1947 118/80 NA
## 401 Richard Martin 02/09/1978 123/72 0.96
## 402 Joseph Walker 18/12/1985 143/79 1.74
## 403 Tan Wei Ming 21/04/1958 82/71 1.19
## 404 Linda Martinez 24/03/1941 115/68 0.48
## 405 Liu Hsiao-Fen 02/12/1969 164/70 2.19
## 406 Patricia Davis 02/06/1994 150/67 0.41
## 407 NULL 10/03/1999 128/82 1.64
## 408 Michael Anderson 02/03/2001 88/84 0.27
## 409 John Smith 12/12/1982 130/81 0.65
## 410 Richard Martin 10/07/1966 112/74 0.59
## 411 Joseph Walker 13/10/1942 107/63 1.82
## 412 Fang Shu-Chen 16/07/1956 142/72 1.24
## 413 Ong Lay Kheng 23/01/1994 117/77 0.48
## 414 James Brown 14/04/2003 138/62 0.10
## 415 Lu Hsiang-Ling 29/04/1951 126/72 2.08
## 416 Liu Hsiao-Fen 03/01/1990 154/75 0.83
## 417 Chen Wei 28/04/1954 123/58 NA
## 418 Liao Chih-Cheng 11/02/1988 129/81 1.50
## 419 Karen Thompson 15/11/1977 156/92 0.99
## 420 Hsieh Shu-Hui 31/05/1953 105/69 0.42
## 421 Lee Siew Eng 06/09/1972 115/81 1.77
## 422 Joseph Walker 25/08/1991 116/68 1.56
## 423 Yang Hsiu-Mei 30 Jan 1980 121/83 0.16
## 424 Chang Chung-Wei 13/10/1964 125/81 1.47
## 425 Ong Lay Kheng 21/05/1999 119/46 0.68
## 426 Yen Kuo-Jung 11/05/2005 102/83 0.85
## 427 Hsieh Shu-Hui 20/10/1998 118/64 0.89
## 428 Huang Li-Chen 07/03/1979 115/79 0.73
## 429 Chiu Yu-Chin 10/05/1950 125/85 1.38
## 430 Tung Li-Fang 08/09/1980 117/79 1.48
## 431 Shen Yi-Ching 26/02/1970 123/72 1.31
## 432 Lu Hsiang-Ling 05/08/1955 149/95 2.26
## 433 19/07/1940 84/54 0.51
## 434 Wang Jie 09/12/1975 109/85 1.43
## 435 William Thomas 18/10/1973 127/81 1.77
## 436 Chang Chung-Wei 12/02/1993 125/84 2.21
## 437 James Brown 30/09/1967 117/64 1.35
## 438 Hsu Kuo-Chang 22/03/1956 121/102 1.33
## 439 Tung Li-Fang 19/07/1979 98/86 1.19
## 440 Chou Mei-Yu 09/08/1999 110 0.70
## 441 Chang Chung-Wei 131/62 0.80
## 442 Lu Hsiang-Ling 15/08/1996 91/97 NA
## 443 Tung Li-Fang 28/08/1991 139/74 1.03
## 444 William Thomas 18/06/1962 115/84 1.07
## 445 John Smith 03/11/1994 139/77 0.98
## 446 Hsu Kuo-Chang 20/01/1963 116/61 0.38
## 447 Joseph Garcia 19/08/1984 0.33
## 448 Ong Lay Kheng 20/03/1947 132/80 0.49
## 449 Chang Chung-Wei 01/05/1970 129/74 2.22
## 450 Wu Ming-Hui 31/05/1957 111/88 0.78
## 451 Wang Jie 17/04/1952 129/76 1.94
## 452 Hsieh Shu-Hui 15/02/2000 130/63 0.84
## 453 Fang Shu-Chen 31/01/1955 131/63 1.14
## 454 Richard Martin 14/04/1947 108/57 0.95
## 455 Kung Mei-Lin 06 May 1947 94/78 1.98
## 456 Joseph Walker 10/12/1952 132/82 0.10
## 457 Shen Yi-Ching 17/07/1999 104/82 0.62
## 458 Lu Hsiang-Ling 25/11/1990 114/79 1.72
## 459 James Brown 20/12/1944 100/86 0.98
## 460 08/29/1959 138/85 2.00
## 461 Liao Chih-Cheng 17/06/1948 142/73 0.98
## 462 Yen Kuo-Jung 21/01/2003 101/46 0.92
## 463 Richard Martin 05/12/1975 80/73 1.19
## 464 Lee Siew Eng 11/10/1944 113/86 2.11
## 465 David Harris 119/74 1.75
## 466 Barbara Taylor 02/11/1966 92/69 1.23
## 467 Hsieh Shu-Hui 24/12/1975 135/78 0.89
## 468 Lu Hsiang-Ling 01/02/1979 97/89 1.56
## 469 Ng Boon Hua 24/03/1948 117/68 1.73
## 470 Lu Hsiang-Ling 06/03/1950 132/75 1.49
## 471 Yen Kuo-Jung 19/05/1967 110/86 1.02
## 472 Fang Shu-Chen 29/07/1942 128/85 NA
## 473 Charles Clark 22/10/1954 101/72 1.24
## 474 Liu Hsiao-Fen 16/05/1951 145/73 0.41
## 475 Tseng Wen-Liang 10/02/1997 128/80 0.95
## 476 Patricia Davis 05/12/1963 122/67 0.82
## 477 Ho Chuan-Wei 22/04/1979 110/68 1.35
## 478 Huang Li-Chen 14/09/1941 120/95 1.73
## 479 David Harris 15/01/1984 127/95 1.20
## 480 Ho Chuan-Wei 09-01-1941 Sys:131 Dia:65 0.84
## 481 Patricia Davis 07/11/1999 128/78 NA
## 482 Mary Johnson 102/77 0.36
## 483 Helen Hall 23/08/1960 0.95
## 484 Ng Boon Hua 21/07/2001 129/82 0.34
## 485 Huang Li-Chen 26/01/1961 117/87 0.97
## 486 Yen Kuo-Jung 09/11/1970 124/97 0.55
## 487 William Thomas 06/01/1999 108/88 1.76
## 488 28/05/1946 141|87 0.70
## 489 Helen Hall 02/12/1990 115/75 0.79
## 490 Hsieh Shu-Hui 28/08/1970 146/100 0.93
## 491 William Thomas 03/02/1988 106/86 0.21
## 492 Yang Hsiu-Mei 22/05/1994 116/84 0.70
## 493 Michael Anderson 13/04/1976 122/72 0.71
## 494 Wu Ming-Hui 13 Jan 2001 103/80 0.41
## 495 Helen Hall 17/12/1965 122/85 1.59
## 496 Tseng Wen-Liang 09/02/1948 94/80 1.56
## 497 Helen Hall 05/04/1976 134/78 1.75
## 498 Ho Chuan-Wei 18/11/1959 124/74 0.63
## 499 William Thomas 06/10/1953 127/90 1.88
## 500 John Smith 31/03/1942 135/96 NA
## 501 Ho Chuan-Wei 22/05/1970 107/77 0.53
## 502 Tung Li-Fang 17/06/1970 142/86 0.46
## 503 Robert Wilson 31/07/1987 109/69 2.06
## 504 William Thomas 22/04/1953 120/76 0.61
## 505 James Brown 22/05/1990 122/57 0.10
## 506 Nancy Robinson 24/03/1960 130/76 1.21
## 507 Chang Chung-Wei 15/01/1965 123/72 0.76
## 508 Liao Chih-Cheng 28/04/1960 125/68 1.62
## 509 27/01/1996 117/78 0.63
## 510 James Brown 14/07/1953 124/68 0.84
## 511 Ho Chuan-Wei 21/05/1982 130/107 0.86
## 512 Hsu Kuo-Chang 17/05/1969 128/92 1.27
## 513 unknown 10/05/1947 137/82 1.08
## 514 Karen Thompson 21/08/1993 108/73 1.32
## 515 Joseph Garcia 28/04/2001 121/83 0.26
## 516 Kao Chin-Feng 26/10/1967 94/83 1.92
## 517 Charles Clark 10/11/1944 119/67 NA
## 518 Lin Mei-Ling 22/10/1952 119/74 1.73
## 519 28/06/1955 1.62
## 520 Chang Chung-Wei 18/08/1979 108/71 1.87
## 521 Hsieh Shu-Hui 17/05/1988 116/65 0.53
## 522 William Thomas 24/07/1984 135/90 1.48
## 523 Kung Mei-Lin 116/84 0.58
## 524 David Harris 06/12/1958 139/87 1.68
## 525 Tsai Chin-Lung 04/04/2000 109/70 0.74
## 526 Lu Hsiang-Ling 13/03/1991 126/69 0.66
## 527 Susan Jackson 12/04/1988 116/80 0.40
## 528 Shen Yi-Ching 22/06/1943 122/74 1.05
## 529 Pan Mei-Hsuan 15/12/1943 1.03
## 530 Charles Clark 09/08/1944 129/94 2.12
## 531 Susan Jackson 15/01/2001 121/72 0.99
## 532 Tung Li-Fang 26/09/2004 115/82 NA
## 533 Mary Johnson 06/04/1996 115/82 1.61
## 534 Huang Li-Chen 16/03/1961 137/70 1.81
## 535 Joseph Walker 25/08/1991 122-71 1.56
## 536 Wang Jie 14/05/1991 138/82 1.76
## 537 Tung Li-Fang 27/09/1965 132/76 1.59
## 538 Lin Mei-Ling 13/01/1950 105/72 0.92
## 539 Tan Ah Kow 01/04/1941 102/87 1.83
## 540 Chang Chung-Wei 23/05/1985 110/81 NA
## 541 Yen Kuo-Jung 28/10/1969 127/88 0.69
## 542 Hsieh Shu-Hui 31/03/1945 127/98 0.82
## 543 Kung Mei-Lin 26/07/1965 129/69 1.97
## 544 26/07/1976 114|71 1.04
## 545 Hsu Kuo-Chang 13/07/1954 127/69 1.42
## 546 20/09/1967 117/66 0.38
## 547 Chiu Yu-Chin 01/01/1969 134/76 0.87
## 548 Helen Hall 07/10/1986 132/72 0.10
## 549 James Brown 05/04/1993 120/81 0.28
## 550 Tan Wei Ming 09/05/1985 147/76 1.15
## 551 Karen Thompson 23/08/1990 116/71 0.37
## 552 Helen Hall 15/03/1992 134/73 2.59
## 553 Chang Chung-Wei 30/07/1969 123/66 0.84
## 554 Robert Wilson 21/06/1982 112/62 0.46
## 555 Yen Kuo-Jung 27/07/1978 NA
## 556 Hsieh Shu-Hui 15/01/1967 96/73 1.43
## 557 Ho Chuan-Wei 05/12/1942 108/75 0.58
## 558 James Brown 03/07/1997 121/63 1.42
## 559 14/06/1979 Sys:90 Dia:76 1.15
## 560 Huang Li-Chen 23/06/1966 122/76 1.66
## 561 Liao Chih-Cheng 16/12/1950 78/76 0.88
## 562 Ho Chuan-Wei 10/01/1972 116/85 2.10
## 563 Jessica White 24/02/2000 116/80 1.63
## 564 18/09/1953 137/78 0.44
## 565 Liao Chih-Cheng 12/09/1941 137/98 150.00
## 566 14/03/1951 105/70 1.12
## 567 24/04/1956 107/57 0.72
## 568 Karen Thompson 12/11/1993 114/73 0.87
## 569 Richard Martin 17/04/1949 122/58 0.21
## 570 Linda Martinez 03/05/1977 141/80 0.73
## 571 Yen Kuo-Jung 31/10/1967 141/86 1.60
## 572 Lu Hsiang-Ling 17/05/1964 92/75 0.35
## 573 23/01/1980 132/88 0.79
## 574 Ong Lay Kheng 06/01/1987 114/67 1.10
## 575 Joseph Walker 09/09/1981 136/76 1.27
## 576 Charles Clark 31/01/1978 128/79 1.60
## 577 Jessica White 18/08/1976 106/62 0.87
## 578 Fang Shu-Chen 13/02/1954 109/79 0.46
## 579 Tsai Chin-Lung 26/08/1990 130/85 1.58
## 580 Ng Boon Hua 21/02/1940 146/66 0.42
## 581 Susan Jackson 25/11/1948 123/80 1.63
## 582 David Harris 28/06/1995 122/78 0.75
## 583 Shen Yi-Ching 23/09/1991 124/84 1.50
## 584 Wu Ming-Hui 22/11/1978 137/82 0.69
## 585 Richard Martin 21/04/1998 92/89 0.70
## 586 Susan Jackson 22/02/2002 99/69 0.60
## 587 Hsu Kuo-Chang 03/04/1975 121/56 0.61
## 588 Chou Mei-Yu 89/72 0.83
## 589 01/12/1998 148/79 1.50
## 590 James Brown 27/04/1987 120/86 0.82
## 591 06/05/1971 96/95 1.63
## 592 Tung Li-Fang 20/09/1975 113/79 2.24
## 593 Ong Lay Kheng 15/02/1946 139/87 1.16
## 594 Wu Ming-Hui 17/07/2000 106/69 NA
## 595 Tan Wei Ming 28/06/1989 116/70 0.56
## 596 Barbara Taylor 17/05/1959 124/82 1.94
## 597 105/79 1.28
## 598 Shen Yi-Ching 31/08/1977 102/89 1.43
## 599 Jessica White 13/09/1985 97/83 1.01
## 600 Patricia Davis 15/06/1972 132/88 1.82
## 601 Huang Li-Chen 26/08/1961 132/76 1.13
## 602 Huang Li-Chen 15/07/1960 140/93 NA
## 603 Hsu Kuo-Chang 06/08/1967 127/86 1.16
## 604 Tsai Chin-Lung 1988 104/88 1.36
## 605 Robert Wilson 26/03/1943 125/82 1.98
## 606 Tan Ah Kow 08/01/1964 125/75 0.41
## 607 Lee Siew Eng 29/05/1970 130/79 2.30
## 608 Kung Mei-Lin 10/09/1978 1.58
## 609 Lu Hsiang-Ling 23/12/1980 133/103 0.91
## 610 Helen Hall 18/11/1986 129/83 1.88
## 611 Kao Chin-Feng 09/01/1962 95/88 0.53
## 612 Joseph Walker 05/03/1976 117/74 1.24
## 613 Chiu Yu-Chin 05/09/1944 114/69 1.99
## 614 Hsu Kuo-Chang 18/11/2001 135/80 0.67
## 615 Tseng Wen-Liang 08/07/1952 148/89 1.41
## 616 Tung Li-Fang 27/12/1974 109/65 0.49
## 617 Liu Hsiao-Fen 125/71 0.16
## 618 Liu Hsiao-Fen 13/01/1966 116/88 1.61
## 619 Ng Boon Hua 18/05/1989 124/82 0.82
## 620 Pan Mei-Hsuan 31/01/1944 109/86 1.53
## 621 Barbara Taylor 10/09/1989 155/99 NA
## 622 Ong Lay Kheng 14/03/1985 131/68 1.94
## 623 Kung Mei-Lin 07/05/1974 90/67 0.72
## 624 Betty Lewis 19/02/1968 127-62 1.63
## 625 Wu Ming-Hui 29/08/1978 122/77 1.62
## 626 Pan Mei-Hsuan 04/09/1980 0.79
## 627 Tung Li-Fang 12/03/1984 116/90 1.45
## 628 Tung Li-Fang 17/06/1970 142/86 -0.46
## 629 Tan Ah Kow 13/06/1969 145/88 1.53
## 630 Wu Ming-Hui 02/07/1979 0.28
## 631 William Thomas 03/09/1985 127/83 1.33
## 632 David Harris 10/10/1966 137/90 2.12
## 633 Tsai Chin-Lung 13/07/1953 1.64
## 634 Betty Lewis 19/08/1989 2.01
## 635 Liu Hsiao-Fen 22/07/1958 105/97 0.27
## 636 Ong Lay Kheng 07/06/1986 118/76 0.57
## 637 Yen Kuo-Jung 12/02/1960 119/83 1.66
## 638 12/04/1948 156/75 1.21
## 639 Helen Hall 25/03/1990 133|78 1.37
## 640 Richard Martin 26/06/2002 113/69 0.32
## 641 Kao Chin-Feng 27/12/1958 0.74
## 642 Kung Mei-Lin 13/06/1973 142/83 1.63
## 643 Ng Boon Hua 03 Jan 1947 127/75 1.49
## 644 Pasien 17/10/1963 143/77 0.78
## 645 Linda Martinez 28/11/1940 120/58 0.88
## 646 Liu Hsiao-Fen 16/12/1953 148/91 1.95
## 647 Kung Mei-Lin 11/01/1986 107/74 0.57
## 648 Tseng Wen-Liang 150/82 0.10
## 649 Hsu Kuo-Chang 22/08/1979 120/62 0.90
## 650 Wu Ming-Hui 08/03/1947 114mmHg/67 0.41
## 651 Joseph Walker 15/09/1979 114/85 1.23
## 652 Tseng Wen-Liang 12/07/1942 149/91 1.02
## 653 123456 28/03/1960 107|60 2.01
## 654 Barbara Taylor 31/10/1975 107/82 0.46
## 655 Chen Wei 121/102 0.98
## 656 James Brown 12/12/1992 86/80 2.57
## 657 Wang Jie 29/04/1966 0.10
## 658 Joseph Walker 24/11/1946 109/74 1.42
## 659 Tung Li-Fang 04/06/1981 1.29
## 660 Chen Wei 15/08/1984 118/87 2.08
## 661 Chiu Yu-Chin 25/12/1943 123/93 1.74
## 662 Barbara Taylor 24/09/1972 115/97 1.39
## 663 unknown 18/04/1993 145/88 1.71
## 664 Robert Wilson 1985 127/87 0.82
## 665 Wang Jie 19/06/2005 119/56 0.66
## 666 Hsieh Shu-Hui 22/11/1994 109/52 0.59
## 667 28/12/1964 116/90 1.16
## 668 . 110/85 1.20
## 669 John Smith 23/07/1986 124/84 1.28
## 670 15/11/1987 105/63 0.66
## 671 Wu Ming-Hui 13/02/2004 122/90 1.10
## 672 Joseph Garcia 88/83 NA
## 673 Patricia Davis 07/11/1976 100/47 0.43
## 674 03/12/1946 141/76 1.27
## 675 Patricia Davis 28/12/1980 131/82 1.87
## 676 Tan Ah Kow 02/09/1997 97/66 0.96
## 677 Huang Li-Chen 27/02/1960 89/78 NA
## 678 Tseng Wen-Liang 15/05/1981 138/77 0.56
## 679 Joseph Walker 24/07/1949 141/71 1.85
## 680 Lu Hsiang-Ling 15/07/1972 99/76 0.47
## 681 Richard Martin 04/09/1988 98/94 1.24
## 682 Cheng Shu-Fen 134/70 2.25
## 683 Huang Li-Chen 07/04/1962 124/73 1.02
## 684 Susan Jackson 26/06/1962 117/73 1.88
## 685 Fang Shu-Chen 13/02/1954 109/79 0.46
## 686 Kao Chin-Feng 06/02/1976 121/55 0.65
## 687 Tan Wei Ming 13/11/1968 96/53 0.53
## 688 Joseph Garcia 24/09/1980 122/89 0.10
## 689 Wang Jie 07/02/1945 135/64 1.42
## 690 Tan Wei Ming 02/10/2002 147/79 1.33
## 691 Yang Hsiu-Mei 16/04/1996 117/75 2.31
## 692 James Brown 19/07/1973 103/92 NA
## 693 Nancy Robinson 26/07/1947 135/90 0.65
## 694 Tan Wei Ming 18/09/1997 123/60 0.79
## 695 Liu Hsiao-Fen 120/89 1.73
## 696 Tseng Wen-Liang 07/11/1976 133/75 1.02
## 697 Karen Thompson 28/08/2004 146/67 2.07
## 698 Chiu Yu-Chin 29/04/1958 114/82 1.49
## 699 Helen Hall 04/06/2001 111/73 1.54
## 700 Huang Li-Chen 06/03/2001 1.56
## Microcirculation_PU Suhu_Tubuh_Celcius Penyakit
## 1 42.0 37.6 Non-Diabetic
## 2 41.9 36.5°C Non-Diabetic
## 3 26.3 37.5 Non-Diabetic
## 4 NA 37.0 Diabetic
## 5 25.5 36.0 Diabetic
## 6 42.2 36.8 Non-Diabetic
## 7 2.0 36.3 Diabetic
## 8 9.5 36.4 Diabetic
## 9 24.8 36.9 Non-Diabetic
## 10 40.9 36.6 Non-Diabetic
## 11 44.0 37.2celcius Non-Diabetic
## 12 23.1 36.4 Diabetic
## 13 6.5 37.1 Diabetic
## 14 20.0 37.1 Diabetic
## 15 53.5 36.5
## 16 31.9 36.6 Non-Diabetic
## 17 49.5 36.4 Non-Diabetic
## 18 40.8 37.0 Non-Diabetic
## 19 21.1 36.6 Diabetic
## 20 22.0 36.5 Non-Diabetic
## 21 51.6 37.0
## 22 45.2 36.4 Non-Diabetic
## 23 15.7 36.8 Diabetic
## 24 1.0 36.9 Diabetic
## 25 56.2 37.1 Sehat
## 26 25.1 36.5 Non-Diabetic
## 27 22.3 36.9 C Diabetic
## 28 NA 36.3 Non-Diabetic
## 29 28.5 36.8
## 30 39.9 36.5 Non-Diabetic
## 31 21.3 37.0 Non-Diabetic
## 32 25.6 36.9 Non-Diabetic
## 33 8.6 36.6 Diabetic
## 34 22.8 36.7 Diabetic
## 35 NA 36.6 Diabetic
## 36 4.3 37.4 Diabetic
## 37 56.8 37.2 Sakit
## 38 36.3 36.9 Non-Diabetic
## 39 NA 37.2 Diabetic
## 40 NA 36.5 Diabetic
## 41 21.4 37.0 Non-Diabetic
## 42 13.7 36.4 Diabetic
## 43 35.8 37.2 Non-Diabetic
## 44 -20.0 36.8 Diabetic
## 45 35.3 35.7 Non-Diabetic
## 46 52.8 36.3 Non-Diabetic
## 47 34.7 36.6 Non-Diabetic
## 48 NA 36.6 Non-Diabetic
## 49 -19.3 36.8 Diabetic
## 50 21.6 36.5 Diabetic
## 51 10.4 36.6 Diabetic
## 52 42.3 37.1 Non-Diabetic
## 53 49.4 37.4 Non-Diabetic
## 54 19.5 36.7 Diabetic
## 55 37.6 36.2 Non-Diabetic
## 56 13.3 36.8 Diabetic
## 57 46.3 36.0 Non-Diabetic
## 58 NA 37.1 Non-Diabetic
## 59 28.1 36.9 Diabetic
## 60 NA 36.3 Non-Diabetic
## 61 28.5 36.8 Non-Diabetic
## 62 14.5 36.9 Diabetic
## 63 NA 37.4 Non-Diabetic
## 64 28.3 37.0 Non-Diabetic
## 65 34.6 36.8 Diabetic
## 66 48.7 Non-Diabetic
## 67 43.8 36.7 Non-Diabetic
## 68 33.2 37.3 Non-Diabetic
## 69 19.9 Diabetic
## 70 34.3 36.1 Non-Diabetic
## 71 41.1 36.7 Diabetic
## 72 34.9 36.9 Non-Diabetic
## 73 22.1 37.0 Non-Diabetic
## 74 36.5 37.2 Non-Diabetic
## 75 32.5 37.6 Non-Diabetic
## 76 48.6 37.1
## 77 10.9 36.7 Tidak
## 78 28.3 36.8 Yes
## 79 19.3 Diabetic
## 80 45.1 37.0 Non-Diabetic
## 81 45.0 36.6 Non-Diabetic
## 82 43.4 Non-Diabetic
## 83 32.6 37.1 Diabetic
## 84 15.0 36.2 Non-Diabetic
## 85 14.4 36.7 Diabetic
## 86 37.9 37.2 Diabetic
## 87 37.4 36.4 Non-Diabetic
## 88 29.4 36.8 Non-Diabetic
## 89 40.6 36.9 Non-Diabetic
## 90 34.5 36.8 Non-Diabetic
## 91 36.5 37.1 Non-Diabetic
## 92 21.9 36.4 Diabetic
## 93 29.0 37.0 Diabetic
## 94 23.9 35.7 Diabetic
## 95 45.6 36.8 Non-Diabetic
## 96 22.1 37.1 Diabetic
## 97 22.2 Non-Diabetic
## 98 53.0 36.7 Non-Diabetic
## 99 35.1 36.8 Non-Diabetic
## 100 26.7 36.7 Non-Diabetic
## 101 14.2 36.9 Diabetic
## 102 36.0 36.7 Non-Diabetic
## 103 17.5 37.3 Non-Diabetic
## 104 6.7 36.6 Diabetic
## 105 32.9 36.4 Non-Diabetic
## 106 -1.0 36.9 Diabetic
## 107 NA 37.0 Tidak
## 108 36.9 37.0 Diabetic
## 109 9.0 36.8 Diabetic
## 110 17.7 36.8 Diabetic
## 111 NA 36.8 Diabetic
## 112 35.5 37.2 Non-Diabetic
## 113 22.8 37.4 Non-Diabetic
## 114 23.2 36.5 Non-Diabetic
## 115 10.0 37.2 Diabetic
## 116 24.2 36.5 Diabetic
## 117 48.4 36.2 Non-Diabetic
## 118 10.3 37.0 Diabetic
## 119 30.7 36.7 Non-Diabetic
## 120 5.0 36.6 Diabetic
## 121 46.8 36.8 Non-Diabetic
## 122 41.8 36.9 Non-Diabetic
## 123 11.7 36.8 Diabetic
## 124 19.5 36.4 Diabetic
## 125 28.5 Diabetic
## 126 26.7 36.9 Non-Diabetic
## 127 14.9 37.2 Diabetic
## 128 7.0 36.4 Diabetic
## 129 24.6 36.4 Diabetic
## 130 NA 37.1 Non-Diabetic
## 131 21.5 36.0 Diabetic
## 132 43.2 37.0 Non-Diabetic
## 133 10.2 37.3 Diabetic
## 134 53.7 36.3 Non-Diabetic
## 135 33.0 37.1 Diabetic
## 136 35.9 36.7 Non-Diabetic
## 137 40.2 36.8 Non-Diabetic
## 138 8.2 36.6 Diabetic
## 139 20.1 36.3 Diabetic
## 140 22.6 36.3 No
## 141 35.3 36.7 Non-Diabetic
## 142 22.2 36.4
## 143 28.7 36.2 Non-Diabetic
## 144 15.6 37.2 Diabetic
## 145 21.0 37.0 Diabetic
## 146 22.9 37.1 Diabetic
## 147 8.8 Diabetic
## 148 47.3 36.2 Non-Diabetic
## 149 47.0 36.4 Non-Diabetic
## 150 9.0 36.2 Diabetic
## 151 36.5 37.1 Diabetic
## 152 20.6 36.7
## 153 19.4 36.0 Diabetic
## 154 34.9 36.9 Non-Diabetic
## 155 6.0 37.1 Diabetic
## 156 11.9 36.9 Diabetic
## 157 33.9 36.4 Non-Diabetic
## 158 37.0 36.6 Non-Diabetic
## 159 49.7 36.7 Non-Diabetic
## 160 24.4 36.5 derajat Non-Diabetic
## 161 41.1 37.1 Non-Diabetic
## 162 20.3 36.9 Diabetic
## 163 41.8 Non-Diabetic
## 164 26.5 36.4 Diabetic
## 165 43.5 37.0 Non-Diabetic
## 166 27.7 37.0 Non-Diabetic
## 167 43.7 37.4 Non-Diabetic
## 168 21.3 37.1
## 169 52.9 36.2 Non-Diabetic
## 170 39.0 36.6 Diabetic
## 171 10.2 36.4 Diabetic
## 172 4.7 36.7 Diabetic
## 173 1.0 36.6 Diabetic
## 174 21.9 37.2
## 175 53.2
## 176 49.9 37.8 Non-Diabetic
## 177 15.9 37.0 Diabetic
## 178 17.9 36.3 Diabetic
## 179 43.8 36.5 Non-Diabetic
## 180 10.4 36.7 Diabetic
## 181 29.3 36.9 Yes
## 182 27.0 37.0 Non-Diabetic
## 183 28.7 36.8 Diabetic
## 184 32.5 36.4 Non-Diabetic
## 185 30.0 37.4 Non-Diabetic
## 186 17.9 37.0 Diabetic
## 187 16.0 Non-Diabetic
## 188 31.6 37.5 Non-Diabetic
## 189 8.5 Diabetic
## 190 45.7 36.2 Non-Diabetic
## 191 10.4 37.2 Diabetic
## 192 1.0 37.2 Diabetic
## 193 41.7 Non-Diabetic
## 194 1.0 37.6 Diabetic
## 195 6.9 Diabetic
## 196 38.2 36.4 Non-Diabetic
## 197 41.4 37.2 Non-Diabetic
## 198 29.3 36.3 Diabetic
## 199 45.5 36.1 Non-Diabetic
## 200 24.1 36.8 NON-DIABETIC
## 201 42.9 37.5 Non-Diabetic
## 202 15.7 36.1 Diabetic
## 203 48.9 36.8 Non-Diabetic
## 204 NA 36.2 Non-Diabetic
## 205 34.9 36.6 Non-Diabetic
## 206 18.0 Diabetic
## 207 22.2 37.4 Diabetic
## 208 26.5 Diabetic
## 209 NA Diabetic
## 210 10.9 36.8 Diabetic
## 211 16.0 36.4 Diabetic
## 212 27.0 36.6 Diabetic
## 213 15.5 36.9 Diabetic
## 214 23.9 36.8 Non-Diabetic
## 215 8.6 37.1
## 216 37.4 37.1 Diabetic
## 217 25.3 36.4 Diabetic
## 218 27.3 36.3 Diabetic
## 219 18.1 36.5 Diabetic
## 220 35.8 37.0 Non-Diabetic
## 221 19.2 37.1 Non-Diabetic
## 222 22.6 36.3 Diabetic
## 223 26.8 36.3 Non-Diabetic
## 224 NA 36.4 Non-Diabetic
## 225 NA 36.6 Non-Diabetic
## 226 31.9 37.1 Non-Diabetic
## 227 21.8 36.9 Diabetic
## 228 NA 42.5 Diabetic
## 229 14.6 37.0 Diabetic
## 230 43.7 37.4
## 231 14.1 36.8 No
## 232 1.0 36.3 Diabetic
## 233 10.9 36.7 Diabetic
## 234 23.5 36.9 Diabetic
## 235 16.2 37.0 Diabetic
## 236 28.6 36.7 Diabetic
## 237 36.0 37.1 Diabetic
## 238 36.3 37.3 Diabetic
## 239 22.9 36.1 Non-Diabetic
## 240 47.4 36.4 Non-Diabetic
## 241 22.2 36.9 Diabetic
## 242 7.0 36.4 Diabetic
## 243 5.6 36.8 Diabetic
## 244 42.4 37.2 Non-Diabetic
## 245 36.2 36.5
## 246 22.7 37.4 Diabetic
## 247 NA 37.4 Non-Diabetic
## 248 20.5 36.6 Non-Diabetic
## 249 35.2 36.7 Non-Diabetic
## 250 40.4 36.8 Non-Diabetic
## 251 41.4 37.2 Non-Diabetic
## 252 8.7 36.8 Diabetic
## 253 37.2 36.8 Non-Diabetic
## 254 10.4 35.9 Diabetic
## 255 37.2 37.6 Non-Diabetic
## 256 NA 37.3 Non-Diabetic
## 257 34.0 36.4 Normal
## 258 48.9 36.6 Non-Diabetic
## 259 NA 36.8
## 260 49.4 37.4 Non-Diabetic
## 261 37.4 36.5 Non-Diabetic
## 262 NA Diabetic
## 263 15.7 36.9
## 264 -32.5 37.4 Diabetic
## 265 2.0 36.7 Diabetic
## 266 27.3 37.2 Non-Diabetic
## 267 18.0 37.0 Diabetic
## 268 15.0 36.9 Diabetic
## 269 10.5 36.6 Diabetic
## 270 28.0 36.6 Non-Diabetic
## 271 10.6 36.2 Diabetic
## 272 41.8 36.4 Non-Diabetic
## 273 40.1 36.9 Non-Diabetic
## 274 54.3 36.6 Non-Diabetic
## 275 22.7 37.6 Diabetic
## 276 9.1 35.9 Diabetic
## 277 14.6 36.6 Diabetic
## 278 27.7 36.9°C Non-Diabetic
## 279 38.8 37.0 Diabetic
## 280 44.7 36.4 No
## 281 22.7 37.5 Non-Diabetic
## 282 12.7 36.6 Diabetic
## 283 77.3 36.0 Non-Diabetic
## 284 28.8 DIABETIC
## 285 46.9 37.0 Non-Diabetic
## 286 32.3 36.5 Non-Diabetic
## 287 12.4 36.4 Diabetic
## 288 21.8 36.6
## 289 35.0 37.1 Non-Diabetic
## 290 -15.4 37.0 Diabetic
## 291 50.5 36.5 Non-Diabetic
## 292 23.8 37.6 Diabetic
## 293 25.7 36.0 Non-Diabetic
## 294 28.3 36.7 Non-Diabetic
## 295 NA 37.0 Non-Diabetic
## 296 15.9 37.2 Diabetic
## 297 10.5 37.0
## 298 1.0 37.6 Diabetic
## 299 47.3 36.7 Non-Diabetic
## 300 7.8 36.7 Diabetic
## 301 32.1 36.8
## 302 58.9 36.2 Non-Diabetic
## 303 NA 37.0 Non-Diabetic
## 304 18.0 36.3 Diabetic
## 305 19.3 36.8 Diabetic
## 306 27.7 37.3 Non-Diabetic
## 307 22.2 36.5 Diabetic
## 308 1.0 36.6 Diabetic
## 309 29.2 37.6 Non-Diabetic
## 310 37.0 36.6 Non-Diabetic
## 311 1.0
## 312 27.5 36.5 Diabetic
## 313 -20.0 36.7 Non-Diabetic
## 314 29.8 36.6 Non-Diabetic
## 315 22.8 36.8 Diabetic
## 316 38.0 37.1 Non-Diabetic
## 317 23.7 36.6 Non-Diabetic
## 318 13.1 Diabetic
## 319 33.0 36.7 Diabetic
## 320 24.0 37.7 Diabetic
## 321 1.0 37.0 Diabetic
## 322 19.8 36.3 Diabetic
## 323 28.1 36.5 Tidak
## 324 43.0 36.2 Non-Diabetic
## 325 36.6 37.0 Non-Diabetic
## 326 3.3 36.9
## 327 22.8 37.4 Non-Diabetic
## 328 41.2 36.5
## 329 34.1 36.9 Non-Diabetic
## 330 20.6 37.3 Diabetic
## 331 16.0 36.9 Diabetic
## 332 14.0 37.0 Diabetic
## 333 30.4 36.3 Non-Diabetic
## 334 17.4 35.5
## 335 23.5 37.0 derajat Diabetic
## 336 37.3 37.6 Non-Diabetic
## 337 55.1 Non-Diabetic
## 338 36.6 36.8 Diabetic
## 339 7.4 37.1 Diabetic
## 340 32.7 37.1 Non-Diabetic
## 341 54.3 36.7 Non-Diabetic
## 342 14.6 36.6 Diabetic
## 343 39.8 37.4 Non-Diabetic
## 344 48.5 36.3 Non-Diabetic
## 345 39.8 37.4 Non-Diabetic
## 346 60.3 37.1 Non-Diabetic
## 347 24.1 36.3 Diabetic
## 348 21.6 37.7 Diabetic
## 349 19.9 36.4 Diabetic
## 350 NA 36.6 Diabetic
## 351 40.6 36.4 Non-Diabetic
## 352 23.0 36.6 Diabetic
## 353 NA 37.2 Non-Diabetic
## 354 16.0 Diabetic
## 355 36.0 36.7 Non-Diabetic
## 356 20.2 36.8 Non-Diabetic
## 357 NA 36.0 Non-Diabetic
## 358 11.8 36.7 Diabetic
## 359 54.2 36.3 Non-Diabetic
## 360 NA 36.5 Non-Diabetic
## 361 49.9 36.1 Non-Diabetic
## 362 32.4 35.6 Non-Diabetic
## 363 42.6 36.9 Non-Diabetic
## 364 NA 36.3 Non-Diabetic
## 365 38.8 37.1
## 366 46.1 36.8 Diabetic
## 367 40.9 36.3 Non-Diabetic
## 368 32.4 36.3 Diabetic
## 369 14.1 36.9 Diabetic
## 370 23.1 37.2 Diabetic
## 371 NA Diabetic
## 372 30.1 37.2 Diabetic
## 373 19.5 36.5 Diabetic
## 374 1.0 37.1 Diabetic
## 375 23.4 36.8 Diabetic
## 376 29.6 36.6 Non-Diabetic
## 377 12.0 36.8 Diabetic
## 378 42.9 36.8 Non-Diabetic
## 379 29.8 36.8 Non-Diabetic
## 380 43.6 37.5 Non-Diabetic
## 381 18.7 37.5 Diabetic
## 382 40.0 99.9 Non-Diabetic
## 383 NA 36.4 Non-Diabetic
## 384 21.2 36.3
## 385 14.2 37.2
## 386 39.9 37.0 Non-Diabetic
## 387 17.7 36.4 Non-Diabetic
## 388 37.2 Non-Diabetic
## 389 20.6 36.6 Diabetic
## 390 8.6 37.1 Diabetic
## 391 44.0 36.8 Non-Diabetic
## 392 3.9 36.4 Diabetic
## 393 31.3 37.5 Non-Diabetic
## 394 NA 37.4 Diabetic
## 395 37.2 36.1 derajat Non-Diabetic
## 396 37.8 36.9 Non-Diabetic
## 397 30.0 36.6 Non-Diabetic
## 398 38.7 36.8 Non-Diabetic
## 399 21.0 36.9 Diabetic
## 400 3.0 36.9
## 401 20.0 36.5 Diabetic
## 402 12.3 36.1 Diabetic
## 403 22.3 35.6 DM
## 404 36.6 36.5 Non-Diabetic
## 405 28.0 36.9 Diabetic
## 406 32.0 36.0 Non-Diabetic
## 407 10.3 36.8 Diabetic
## 408 45.3 36.8 Non-Diabetic
## 409 34.3 36.6 Non-Diabetic
## 410 26.2 36.6 Non-Diabetic
## 411 25.6 Diabetic
## 412 53.2 37.2 Non-Diabetic
## 413 5000.0 36.3 Non-Diabetic
## 414 39.8 37.5 Non-Diabetic
## 415 16.4 36.8 Diabetic
## 416 48.5 37.2 Non-Diabetic
## 417 NA 36.5
## 418 8.9 36.6 Diabetic
## 419 13.2 37.3 Diabetic
## 420 27.3 37.6 Non-Diabetic
## 421 22.2 36.1 Diabetic
## 422 43.8 36.5 Diabetic
## 423 49.4 36.9 DM
## 424 19.6 37.1 Diabetic
## 425 21.7 37.3 Non-Diabetic
## 426 32.4 Non-Diabetic
## 427 NA 37.2 Non-Diabetic
## 428 50.2 36.0 Non-Diabetic
## 429 10.2 36.9 Diabetic
## 430 34.6 36.9 Non-Diabetic
## 431 NA 37.2 Diabetic
## 432 25.4 36.8 Diabetic
## 433 42.6 35.7 Non-Diabetic
## 434 34.0 37.1 Non-Diabetic
## 435 1.0 37.1 Diabetic
## 436 23.1 37.0 Diabetic
## 437 46.8 36.7 Non-Diabetic
## 438 14.0 37.6 Diabetic
## 439 4.5 36.2 Diabetic
## 440 42.6 36.6 Non-Diabetic
## 441 57.4 36.4 Non-Diabetic
## 442 15.3 36.6 Diabetic
## 443 33.0 36.7 derajat Diabetic
## 444 20.5 Non-Diabetic
## 445 13.7 37.4 Diabetic
## 446 28.0 36.9 Non-Diabetic
## 447 26.3 37.0 DIABETIC
## 448 55.8 36.3
## 449 19.2 37.3 Diabetic
## 450 46.5 37.0 Non-Diabetic
## 451 4.4 36.4 Diabetic
## 452 51.1 36.2 Non-Diabetic
## 453 15.2 36.7 Diabetic
## 454 51.7 36.7 Non-Diabetic
## 455 19.9 37.6 Diabetic
## 456 58.4 36.9 Non-Diabetic
## 457 44.0 36.6 Non-Diabetic
## 458 32.8 37.1 Diabetic
## 459 31.0 36.2 Non-Diabetic
## 460 1.0 37.6
## 461 41.1 38.0 Non-Diabetic
## 462 47.0 -1.0 Non-Diabetic
## 463 57.6 36.3 Non-Diabetic
## 464 1.0 37.0 Diabetic
## 465 21.1 37.3 Diabetic
## 466 28.2 36.6 Non-Diabetic
## 467 33.9 36.6 Non-Diabetic
## 468 22.2 36.5 Diabetic
## 469 17.4 37.0 Diabetic
## 470 NA 36.7 Non-Diabetic
## 471 56.5 37.0 Non-Diabetic
## 472 52.8 36.3 Non-Diabetic
## 473 39.4 37.7 Non-Diabetic
## 474 NA 36.4 Non-Diabetic
## 475 32.7 35.9
## 476 51.0 37.0 Non-Diabetic
## 477 26.6 37.2 Diabetic
## 478 19.9 36.3 Diabetic
## 479 29.4 37.3 Diabetic
## 480 44.9 36.3 Non-Diabetic
## 481 28.4 36.8 Non-Diabetic
## 482 30.1 36.6 Non-Diabetic
## 483 NA 36.8 Non-Diabetic
## 484 35.6 36.8 Non-Diabetic
## 485 34.3 37.1 Non-Diabetic
## 486 26.2 36.8 Diabetic
## 487 NA 36.5 Diabetic
## 488 38.8 36.7
## 489 40.5 42.5 Non-Diabetic
## 490 7.8 36.7 Diabetic
## 491 33.8 36.8 Non-Diabetic
## 492 34.2 37.0 Non-Diabetic
## 493 32.7 36.2 Non-Diabetic
## 494 39.0 36.3 Non-Diabetic
## 495 6.3 Diabetic
## 496 24.4 36.9 diabetic
## 497 17.7 37.3 Diabetic
## 498 26.8 37.1 Diabetic
## 499 23.8 36.5 Diabetic
## 500 20.4 Diabetic
## 501 35.3 37.5 Non-Diabetic
## 502 41.6 36.3 Non-Diabetic
## 503 25.9 37.0 Diabetic
## 504 53.6 36.5
## 505 46.4 36.8
## 506 34.1 36.4 Non-Diabetic
## 507 50.8 36.9 Non-Diabetic
## 508 49.9 36.9 1
## 509 51.6 Non-Diabetic
## 510 19.4 37.0 Non-Diabetic
## 511 NA 37.1 Diabetic
## 512 NA 36.8 Diabetic
## 513 5.0 36.7 Diabetic
## 514 13.1 37.3 Non-Diabetic
## 515 24.8 37.0 Non-Diabetic
## 516 16.8 36.6 Diabetic
## 517 43.4 36.4 Non-Diabetic
## 518 34.5 36.9 Diabetic
## 519 25.7 36.6 Diabetic
## 520 6.5 37.1 Diabetic
## 521 26.0 37.6 Non-Diabetic
## 522 17.3 36.2 Diabetic
## 523 NA Non-Diabetic
## 524 28.0 35.7 DM
## 525 32.6 36.5 Non-Diabetic
## 526 45.4 37.0 Non-Diabetic
## 527 33.6 37.1 Non-Diabetic
## 528 10.7 36.8 Diabetic
## 529 32.4 37.1 Non-Diabetic
## 530 23.4 37.1 Diabetic
## 531 44.8 36.9 non-diabetic
## 532 51.0 36.5 Non-Diabetic
## 533 22.8 36.7 Diabetic
## 534 32.4 35.8 Diabetic
## 535 43.8 36.5 diabetic
## 536 NA 36.6 Diabetic
## 537 39.4 37.5
## 538 32.4 36.5°C Non-Diabetic
## 539 17.4 37.2 Diabetic
## 540 38.2 36.9 Non-Diabetic
## 541 33.5 36.8 Non-Diabetic
## 542 40.5 36.6 Non-Diabetic
## 543 16.2 Diabetic
## 544 35.5 36.3 Diabetic
## 545 18.9 Non-Diabetic
## 546 31.3 36.9 Non-Diabetic
## 547 34.1 36.9 Non-Diabetic
## 548 60.9 36.2 Non-Diabetic
## 549 29.0 Non-Diabetic
## 550 51.4 36.5 Non-Diabetic
## 551 44.1 36.3 Non-Diabetic
## 552 20.6 37.3 Diabetic
## 553 NA Non-Diabetic
## 554 43.2 36.9 Non-Diabetic
## 555 37.9 37.2 Diabetic
## 556 36.9 37.0 Diabetic
## 557 31.1 36.2
## 558 7.6 36.6 Diabetic
## 559 33.0 36.5 Non-Diabetic
## 560 NA 37.2 Diabetic
## 561 47.2 36.4 Non-Diabetic
## 562 13.5 36.5 Diabetic
## 563 1.0 37.0 Diabetic
## 564 14.3 36.4 Diabetic
## 565 28.8 35.9 Diabetic
## 566 41.3 36.6 Non-Diabetic
## 567 36.8 37.4°C Non-Diabetic
## 568 46.2 37.1 Non-Diabetic
## 569 45.4 36.9 Non-Diabetic
## 570 26.5 36.6
## 571 12.1 36.4 Diabetic
## 572 27.0 Non-Diabetic
## 573 40.0 36.6
## 574 45.2 Non-Diabetic
## 575 18.0 36.7 Diabetic
## 576 14.7 36.7
## 577 NA 36.7 Non-Diabetic
## 578 45.6 37.1celcius Non-Diabetic
## 579 30.2 37.2
## 580 45.6 Non-Diabetic
## 581 29.6 36.4 Diabetic
## 582 35.7 36.2 Non-Diabetic
## 583 21.5 36.3 Diabetic
## 584 25.8 36.7 Non-Diabetic
## 585 50.4 36.2 Non-Diabetic
## 586 34.8 37.3 Non-Diabetic
## 587 15.8 37.3 Non-Diabetic
## 588 42.5 36.6 Non-Diabetic
## 589 15.0
## 590 24.6 36.6 Non-Diabetic
## 591 -13.9 36.8 Diabetic
## 592 26.0 37.1
## 593 14.7 36.5 Diabetic
## 594 29.7 36.8 Non-Diabetic
## 595 45.0 36.6 Non-Diabetic
## 596 1.0 36.6 Diabetic
## 597 17.4 Diabetic
## 598 6.7 36.6 Diabetic
## 599 59.6 36.7 Non-Diabetic
## 600 18.9 36.7 Diabetic
## 601 1.0 Diabetic
## 602 13.9 Diabetic
## 603 32.1 36.8 Diabetic
## 604 35.2 37.6 Diabetic
## 605 12.8 36.8 Diabetic
## 606 NA 36.6 Non-Diabetic
## 607 NA 36.6 Diabetic
## 608 -20.0 36.9 Diabetic
## 609 32.9 Non-Diabetic
## 610 13.6 37.0 Diabetic
## 611 63.6 36.6 Non-Diabetic
## 612 27.2 36.5 Healthy
## 613 1.0
## 614 32.7 37.2 Non-Diabetic
## 615 23.4 36.6 Diabetic
## 616 25.8 36.8 Non-Diabetic
## 617 35.9 37.3 Non-Diabetic
## 618 2.6 36.9 Diabetic
## 619 34.3 36.5°C Non-Diabetic
## 620 27.9 37.3 Diabetic
## 621 27.7 37.1 Diabetic
## 622 5.7 37.0 Diabetic
## 623 43.4 35.9 Non-Diabetic
## 624 13.2 37.0 Diabetic
## 625 1.0 37.0 Diabetic
## 626 33.0 36.2 Non-Diabetic
## 627 17.5 36.8 Diabetic
## 628 41.6 36.3 Non-Diabetic
## 629 19.5 37.3 Diabetic
## 630 49.1 37.1
## 631 20.0 36.6 Diabetic
## 632 18.2 37.1 Diabetic
## 633 4.7 36.6 Diabetic
## 634 22.7 36.9 Diabetic
## 635 41.1 37.1 Non-Diabetic
## 636 44.2 36.4 Non-Diabetic
## 637 18.0 37.0 DIABETIC
## 638 31.0 36.8 Non-Diabetic
## 639 28.0 37.2°C Non-Diabetic
## 640 NA 38.0 Non-Diabetic
## 641 46.2 37.4 Non-Diabetic
## 642 23.5 36.5 Diabetic
## 643 27.3 36.2 Non-Diabetic
## 644 7.9 36.1 Diabetic
## 645 36.5 36.6 Non-Diabetic
## 646 13.4 36.4 Diabetic
## 647 30.1 36.8 Non-Diabetic
## 648 39.9 Non-Diabetic
## 649 44.1 37.0 Non-Diabetic
## 650 39.0 36.3 Non-Diabetic
## 651 25.7 37.0 Non-Diabetic
## 652 29.9 36.8 Non-Diabetic
## 653 20.7 37.0 Diabetic
## 654 40.2 36.8 Non-Diabetic
## 655 20.4 37.1 Non-Diabetic
## 656 25.8 36.8 Diabetic
## 657 20.1 36.6 Non-Diabetic
## 658 28.6 37.4
## 659 26.3 37.2 Diabetic
## 660 13.4 36.6 derajat Diabetic
## 661 22.6 37.0 Diabetic
## 662 1.0 36.4 DM
## 663 8.1 36.5 1
## 664 25.0 37.0 Non-Diabetic
## 665 NA Non-Diabetic
## 666 47.1 37.0 Non-Diabetic
## 667 20.2 37.3 Diabetic
## 668 11.7 36.9 Diabetic
## 669 22.2 36.6 Diabetic
## 670 42.7 37.2 Non-Diabetic
## 671 27.2 Non-Diabetic
## 672 40.4 37.6 Non-Diabetic
## 673 47.6 37.0 Non-Diabetic
## 674 18.8 37.1 Diabetic
## 675 23.9 36.7 Diabetic
## 676 43.1 37.0 Non-Diabetic
## 677 29.8 37.1 Non-Diabetic
## 678 20.0 37.0 Diabetic
## 679 7.5 36.6 Diabetic
## 680 25.4 36.7
## 681 11.5 36.6 Diabetic
## 682 6.5 36.9 Diabetic
## 683 57.0 36.7
## 684 14.1 37.2 Diabetic
## 685 45.6 37.1 Non-Diabetic
## 686 31.2 36.4 Non-Diabetic
## 687 25.8 36.6 Non-Diabetic
## 688 39.2 Non-Diabetic
## 689 53.2 37.1 Non-Diabetic
## 690 28.4 36.6 Diabetic
## 691 NA 36.3 Diabetic
## 692 26.3 36.7 Non-Diabetic
## 693 38.5 36.4 Non-Diabetic
## 694 35.4 37.1 Non-Diabetic
## 695 21.2 DM
## 696 27.3 36.2 non-diabetic
## 697 18.1 36.4 Diabetic
## 698 49.3 36.7 Non-Diabetic
## 699 21.1 36.6 Diabetic
## 700 50.9 36.6 Non-Diabetic
## Peak_Plantar_Pressure_kPa
## 1 294.000
## 2 NA
## 3 431.800
## 4 577.500
## 5 502.300
## 6 201.400
## 7 512.800
## 8 327.700
## 9 NA
## 10 308.900
## 11 NA
## 12 327.800
## 13 623.000
## 14 513.700
## 15 254.200
## 16 -100.000
## 17 284.900
## 18 294.900
## 19 536.500
## 20 338.600
## 21 430.100
## 22 340.600
## 23 386.000
## 24 677.000
## 25 324.200
## 26 206.500
## 27 602.300
## 28 173.300
## 29 554.500
## 30 174.400
## 31 337.300
## 32 267.600
## 33 415.300
## 34 557.100
## 35 612.700
## 36 566.300
## 37 233.800
## 38 250.400
## 39 NA
## 40 667.400
## 41 296.600
## 42 367.600
## 43 396.200
## 44 549.700
## 45 275.700
## 46 NA
## 47 162.900
## 48 348.000
## 49 404.400
## 50 497.500
## 51 387.500
## 52 340.300
## 53 NA
## 54 495.400
## 55 373.200
## 56 606.100
## 57 309.900
## 58 351.000
## 59 481.800
## 60 253.200
## 61 410.000
## 62 476.400
## 63 354.100
## 64 320.400
## 65 518.500
## 66 352.300
## 67 203.200
## 68 208.400
## 69 538.700
## 70 206.000
## 71 491.500
## 72 358.000
## 73 233.800
## 74 456.800
## 75 218.000
## 76 254.800
## 77 437.300
## 78 229.900
## 79 NA
## 80 310.400
## 81 289.800
## 82 337.500
## 83 563.100
## 84 389.300
## 85 559.200
## 86 508.500
## 87 238.800
## 88 213.500
## 89 261.200
## 90 255.700
## 91 356.500
## 92 512.300
## 93 607.700
## 94 449.600
## 95 311.100
## 96 651.700
## 97 390.400
## 98 263.100
## 99 319.500
## 100 237.000
## 101 551.700
## 102 220.300
## 103 253.100
## 104 539.100
## 105 398.500
## 106 548.700
## 107 475.200
## 108 393.200
## 109 499.300
## 110 697.100
## 111 544.100
## 112 223.000
## 113 423.700
## 114 375.400
## 115 501.700
## 116 404.800
## 117 53.400
## 118 598.400
## 119 390.000
## 120 514.500
## 121 398.400
## 122 319.400
## 123 504.100
## 124 NA
## 125 710.600
## 126 212.500
## 127 538.600
## 128 643.900
## 129 563.000
## 130 302.300
## 131 503.800
## 132 392.100
## 133 570.900
## 134 162.900
## 135 495.600
## 136 -100.000
## 137 302.800
## 138 530.200
## 139 457.400
## 140 513.800
## 141 320.000
## 142 235.100
## 143 228.000
## 144 514.900
## 145 408.900
## 146 NA
## 147 99999.000
## 148 139.100
## 149 401.500
## 150 520.600
## 151 593.000
## 152 511.500
## 153 410.600
## 154 358.000
## 155 608.500
## 156 627.100
## 157 332.100
## 158 311.900
## 159 276.500
## 160 436.300
## 161 330.400
## 162 442.900
## 163 274.700
## 164 571.200
## 165 259.600
## 166 232.800
## 167 172.600
## 168 660.800
## 169 213.700
## 170 502.600
## 171 640.200
## 172 NA
## 173 475.600
## 174 550.800
## 175 422.500
## 176 237.500
## 177 512.600
## 178 529.100
## 179 348.400
## 180 426.100
## 181 473.100
## 182 342.300
## 183 NA
## 184 290.800
## 185 258.300
## 186 553.500
## 187 239.800
## 188 254.300
## 189 591.000
## 190 304.000
## 191 632.400
## 192 602.000
## 193 125.800
## 194 488.800
## 195 517.000
## 196 384.300
## 197 280.300
## 198 0.001
## 199 323.500
## 200 509.400
## 201 264.700
## 202 468.600
## 203 193.800
## 204 167.400
## 205 265.000
## 206 601.800
## 207 536.300
## 208 537.100
## 209 350.600
## 210 428.300
## 211 433.800
## 212 511.700
## 213 520.800
## 214 416.300
## 215 295.600
## 216 496.200
## 217 477.300
## 218 482.000
## 219 551.900
## 220 241.800
## 221 129.300
## 222 513.800
## 223 372.900
## 224 276.200
## 225 364.600
## 226 303.900
## 227 NA
## 228 474.500
## 229 506.200
## 230 354.000
## 231 553.000
## 232 336.900
## 233 437.300
## 234 609.100
## 235 571.000
## 236 561.800
## 237 480.600
## 238 NA
## 239 153.300
## 240 311.800
## 241 NA
## 242 99999.000
## 243 522.200
## 244 198.300
## 245 385.700
## 246 528.400
## 247 328.400
## 248 292.600
## 249 260.700
## 250 370.200
## 251 NA
## 252 432.100
## 253 195.200
## 254 595.600
## 255 169.100
## 256 114.100
## 257 313.900
## 258 344.600
## 259 546.300
## 260 198.800
## 261 257.500
## 262 409.900
## 263 235.100
## 264 458.200
## 265 482.900
## 266 416.800
## 267 595.300
## 268 407.900
## 269 591.900
## 270 300.000
## 271 517.500
## 272 255.200
## 273 192.700
## 274 263.700
## 275 607.600
## 276 442.500
## 277 475.800
## 278 224.000
## 279 534.400
## 280 NA
## 281 250.200
## 282 455.600
## 283 418.000
## 284 166.900
## 285 177.900
## 286 317.700
## 287 525.100
## 288 476.700
## 289 253.300
## 290 462.000
## 291 302.300
## 292 374.900
## 293 273.100
## 294 319.300
## 295 205.900
## 296 -100.000
## 297 445.800
## 298 411.700
## 299 238.100
## 300 366.500
## 301 536.200
## 302 294.800
## 303 348.300
## 304 536.000
## 305 558.100
## 306 210.700
## 307 0.001
## 308 NA
## 309 NA
## 310 202.700
## 311 503.800
## 312 532.600
## 313 281.200
## 314 350.000
## 315 397.400
## 316 216.700
## 317 290.500
## 318 502.700
## 319 479.900
## 320 NA
## 321 538.000
## 322 422.300
## 323 563.300
## 324 185.600
## 325 271.700
## 326 504.100
## 327 186.600
## 328 359.400
## 329 252.500
## 330 305.900
## 331 514.000
## 332 545.600
## 333 329.800
## 334 418.000
## 335 433.900
## 336 260.200
## 337 150.900
## 338 400.900
## 339 402.300
## 340 179.700
## 341 407.200
## 342 475.800
## 343 162.100
## 344 302.900
## 345 162.100
## 346 320.100
## 347 640.400
## 348 442.700
## 349 516.500
## 350 483.300
## 351 203.400
## 352 436.600
## 353 276.900
## 354 514.000
## 355 367.900
## 356 213.400
## 357 233.200
## 358 462.200
## 359 232.600
## 360 354.200
## 361 305.600
## 362 444.200
## 363 304.900
## 364 196.600
## 365 473.900
## 366 NA
## 367 173.300
## 368 565.100
## 369 598.300
## 370 593.500
## 371 575.000
## 372 547.400
## 373 589.700
## 374 570.800
## 375 503.200
## 376 236.900
## 377 487.500
## 378 122.000
## 379 307.300
## 380 241.500
## 381 389.600
## 382 248.300
## 383 286.900
## 384 99999.000
## 385 453.800
## 386 395.800
## 387 432.900
## 388 120.100
## 389 446.300
## 390 484.500
## 391 263.000
## 392 NA
## 393 366.400
## 394 555.800
## 395 351.400
## 396 268.500
## 397 246.900
## 398 268.000
## 399 715.400
## 400 537.400
## 401 386.200
## 402 521.600
## 403 325.700
## 404 255.400
## 405 640.700
## 406 237.900
## 407 539.800
## 408 203.700
## 409 NA
## 410 NA
## 411 292.700
## 412 245.500
## 413 NA
## 414 379.100
## 415 425.300
## 416 375.000
## 417 328.900
## 418 560.400
## 419 443.400
## 420 386.500
## 421 585.100
## 422 631.100
## 423 246.800
## 424 -100.000
## 425 342.200
## 426 349.800
## 427 NA
## 428 291.500
## 429 421.700
## 430 239.300
## 431 548.700
## 432 371.800
## 433 240.000
## 434 187.700
## 435 510.100
## 436 585.800
## 437 282.200
## 438 433.400
## 439 589.000
## 440 265.400
## 441 225.800
## 442 547.100
## 443 479.900
## 444 147.000
## 445 568.000
## 446 285.500
## 447 236.000
## 448 353.500
## 449 505.400
## 450 212.300
## 451 422.900
## 452 294.800
## 453 403.200
## 454 356.200
## 455 582.000
## 456 217.900
## 457 267.000
## 458 487.200
## 459 268.400
## 460 488.800
## 461 369.600
## 462 NA
## 463 319.700
## 464 300.500
## 465 399.400
## 466 317.000
## 467 245.400
## 468 602.400
## 469 457.300
## 470 151.100
## 471 251.300
## 472 264.500
## 473 311.500
## 474 217.200
## 475 NA
## 476 247.000
## 477 541.000
## 478 523.000
## 479 490.600
## 480 416.200
## 481 287.500
## 482 170.800
## 483 227.200
## 484 269.200
## 485 52.100
## 486 NA
## 487 NA
## 488 228.000
## 489 297.200
## 490 NA
## 491 288.900
## 492 350.100
## 493 305.700
## 494 136.600
## 495 560.200
## 496 227.000
## 497 495.900
## 498 477.500
## 499 347.400
## 500 537.800
## 501 387.200
## 502 325.800
## 503 550.300
## 504 402.600
## 505 374.300
## 506 393.600
## 507 283.700
## 508 362.200
## 509 298.500
## 510 303.900
## 511 509.800
## 512 429.000
## 513 633.500
## 514 307.000
## 515 303.800
## 516 487.300
## 517 264.800
## 518 579.700
## 519 529.000
## 520 537.000
## 521 282.800
## 522 471.400
## 523 390.500
## 524 554.200
## 525 288.500
## 526 301.300
## 527 250.200
## 528 643.600
## 529 357.800
## 530 541.100
## 531 214.000
## 532 339.600
## 533 353.100
## 534 436.200
## 535 NA
## 536 463.300
## 537 NA
## 538 299.500
## 539 473.300
## 540 416.200
## 541 328.100
## 542 212.000
## 543 583.900
## 544 444.600
## 545 262.100
## 546 265.000
## 547 NA
## 548 148.400
## 549 204.100
## 550 241.200
## 551 99999.000
## 552 487.900
## 553 364.900
## 554 293.400
## 555 508.500
## 556 393.200
## 557 273.400
## 558 NA
## 559 219.200
## 560 615.900
## 561 286.900
## 562 342.500
## 563 421.600
## 564 369.500
## 565 404.500
## 566 321.100
## 567 330.500
## 568 233.400
## 569 265.300
## 570 492.800
## 571 566.800
## 572 391.400
## 573 254.700
## 574 388.400
## 575 463.700
## 576 517.000
## 577 396.300
## 578 427.900
## 579 449.900
## 580 NA
## 581 519.100
## 582 246.300
## 583 615.500
## 584 212.000
## 585 232.000
## 586 324.600
## 587 NA
## 588 282.800
## 589 630.100
## 590 290.600
## 591 497.000
## 592 386.700
## 593 606.400
## 594 222.700
## 595 273.000
## 596 516.900
## 597 463.400
## 598 600.600
## 599 297.500
## 600 487.900
## 601 641.800
## 602 482.800
## 603 501.500
## 604 438.700
## 605 463.000
## 606 348.500
## 607 487.900
## 608 445.500
## 609 138.500
## 610 479.200
## 611 NA
## 612 362.900
## 613 610.900
## 614 166.200
## 615 462.700
## 616 218.400
## 617 157.800
## 618 675.700
## 619 286.900
## 620 707.200
## 621 609.500
## 622 550.100
## 623 267.000
## 624 526.700
## 625 530.700
## 626 285.500
## 627 346.400
## 628 325.800
## 629 434.600
## 630 337.500
## 631 467.700
## 632 475.200
## 633 525.600
## 634 578.600
## 635 313.100
## 636 268.600
## 637 595.300
## 638 421.700
## 639 262.900
## 640 379.600
## 641 324.600
## 642 502.400
## 643 224.600
## 644 471.900
## 645 152.400
## 646 576.400
## 647 262.800
## 648 NA
## 649 366.500
## 650 136.600
## 651 336.100
## 652 267.200
## 653 527.200
## 654 227.900
## 655 310.500
## 656 NA
## 657 326.600
## 658 254.200
## 659 536.100
## 660 592.300
## 661 535.800
## 662 598.900
## 663 NA
## 664 NA
## 665 238.500
## 666 314.300
## 667 458.900
## 668 523.800
## 669 498.800
## 670 273.900
## 671 305.100
## 672 NA
## 673 262.300
## 674 511.100
## 675 454.100
## 676 588.200
## 677 355.000
## 678 532.300
## 679 653.100
## 680 255.300
## 681 610.000
## 682 439.700
## 683 202.000
## 684 549.400
## 685 427.900
## 686 257.500
## 687 NA
## 688 333.700
## 689 422.500
## 690 646.100
## 691 573.400
## 692 445.400
## 693 373.800
## 694 255.800
## 695 377.200
## 696 345.400
## 697 537.000
## 698 191.500
## 699 608.200
## 700 191.800- Memeriksa kolom dengan NA
gg_miss_var(d) # chart kolom yang paling banyak na
- Memperbaiki string kosong atau spasi menjadi NA di seluruh dataframe (variabel dmv = data missing value)
dmv <- d %>%
mutate(across(where(is.character), ~na_if(trimws(.), "")))
# Tabel NA yang valid
dmv## Nama Tanggal_Lahir Tensi Skin_Stiffness_N_per_mm
## 1 Michael Anderson 01/04/1957 112/67 0.69
## 2 N/A 20/09/1975 140 / 91 1.50
## 3 Tan Wei Ming 12/04/1965 134/72 0.76
## 4 Shen Yi-Ching 11/09/1980 120/79 1.92
## 5 Kung Mei-Lin 22/08/1985 99/77 0.81
## 6 Ho Chuan-Wei 10/08/1962 149/65 0.61
## 7 <NA> 18/01/1994 110/71 1.04
## 8 Betty Lewis 02/08/1982 108/67 2.24
## 9 Joseph Garcia 06/12/1982 <NA> 0.18
## 10 Ong Lay Kheng 26/02/1951 128/78 NA
## 11 Lin Mei-Ling 16/02/1944 113/75 0.25
## 12 Tan Ah Kow <NA> 113/68 0.87
## 13 Tan Wei Ming 03/10/1946 105/90 1.92
## 14 N/A 02/11/1957 128/62 1.07
## 15 Hsu Kuo-Chang 18/03/1973 102/80 0.38
## 16 Lee Siew Eng 04/07/1964 135/64 0.42
## 17 John Smith 1967 106/67 0.83
## 18 Karen Thompson 08/02/1988 121/91 0.71
## 19 Chou Mei-Yu 02/05/1996 106/83 2.13
## 20 Ho Chuan-Wei 24/02/1988 103/83 0.23
## 21 <NA> 25/08/1987 129/66 1.10
## 22 Ho Chuan-Wei 19/11/1946 93/70 0.46
## 23 Barbara Taylor 07/11/1977 111/67 NA
## 24 Shen Yi-Ching 06/03/1982 127/85 1.60
## 25 Lin Mei-Ling 19/02/1969 121/92 0.46
## 26 Cheng Shu-Fen 05/11/1965 <NA> 0.78
## 27 Yen Kuo-Jung 07/07/1985 119/86 1.67
## 28 Charles Clark 22/09/2001 135/78 1.26
## 29 Chang Chung-Wei 29/12/2001 129/69 1.17
## 30 Ong Lay Kheng 05/11/2001 118/92 0.50
## 31 Joseph Walker 30/04/1989 87/76 0.65
## 32 William Thomas 30/11/1944 103/76 NA
## 33 Fang Shu-Chen 10/05/1946 105/88 NA
## 34 Tseng Wen-Liang 17/11/1942 134/73 1.17
## 35 Tung Li-Fang 17/09/1972 129/90 1.63
## 36 Charles Clark 18/08/1971 115/74 1.99
## 37 Hsieh Shu-Hui 19/05/1988 <NA> 0.89
## 38 Robert Wilson 01/02/1951 126/65 0.74
## 39 Pasien 08/06/1951 122/77 -2.18
## 40 UNKNOWN <NA> 129/80 1.64
## 41 Linda Martinez 12/11/1940 153/68 mmHg 0.72
## 42 Barbara Taylor 03/05/1993 99/97 -1.50
## 43 Robert Wilson 16/05/1970 <NA> 1.12
## 44 Fang Shu-Chen 26/09/1951 134/66 1.31
## 45 Richard Martin 12/05/1992 114/60 0.65
## 46 Fang Shu-Chen 29/07/1942 128/85 0.79
## 47 Huang Li-Chen 11/07/1989 101 / 96 0.47
## 48 <NA> <NA> 122/69 0.67
## 49 Kung Mei-Lin 16/09/1967 117/83 1.76
## 50 Cheng Shu-Fen 11/01/1958 93/78 2.26
## 51 Nancy Robinson 05/10/1970 132/74 1.67
## 52 Cheng Shu-Fen 03/08/1942 <NA> 0.49
## 53 Jessica White 16/03/1947 101/78 0.95
## 54 Richard Martin 03/10/1989 124/93 1.65
## 55 Richard Martin 04/03/1992 122/62 0.94
## 56 Helen Hall 23/04/1952 132/66 2.03
## 57 Robert Wilson 27/11/2005 121/60 0.88
## 58 Susan Jackson 10/11/1959 119/83 0.94
## 59 Lu Hsiang-Ling <NA> 143/93 1.21
## 60 Huang Li-Chen <NA> 106/74 0.95
## 61 Tseng Wen-Liang 1977 108/68 0.56
## 62 Linda Martinez 17/03/1966 133/85 1.68
## 63 Barbara Taylor 10/01/1992 121/70 0.10
## 64 Lee Siew Eng 1980 121/71 1.07
## 65 John Smith 20-02-2003 123/65 1.53
## 66 Ong Lay Kheng 16/03/1995 132/76 0.84
## 67 ??? 31/10/1971 102/94 1.24
## 68 Barbara Taylor 27/07/1989 111/72 0.84
## 69 Ng Boon Hua 29/04/1990 114/79 2.07
## 70 Wu Ming-Hui 06/11/1991 136/75 1.13
## 71 Tsai Chin-Lung <NA> 140/80 2.90
## 72 <NA> 05/12/1964 133/85 0.41
## 73 Yang Hsiu-Mei 26/01/2001 105/81 0.74
## 74 Shen Yi-Ching 26/05/1992 115/74 NA
## 75 Tung Li-Fang 17/02/1954 121/55 0.97
## 76 Tsai Chin-Lung 23/12/1943 126/84 1.24
## 77 Ng Boon Hua 06/09/1941 131/93 1.05
## 78 William Thomas 20/11/1952 150 0.36
## 79 Kung Mei-Lin 08/05/1959 117/83 1.76
## 80 Kung Mei-Lin 17/05/1973 112/86 NA
## 81 James Brown 30/10/1983 125/77 0.41
## 82 Wu Ming-Hui 01/12/1991 136/69 0.33
## 83 Cheng Shu-Fen 22/04/1999 <NA> 1.78
## 84 Lu Hsiang-Ling 07/06/1982 110/70 0.64
## 85 Patricia Davis 01/10/1985 117/75 1.80
## 86 Yen Kuo-Jung 27/07/1978 96/81 1.05
## 87 Kung Mei-Lin 01/10/1989 113/49 NA
## 88 Wu Ming-Hui 22/04/1962 108/71 0.51
## 89 Barbara Taylor <NA> 98/82 0.55
## 90 Barbara Taylor 21/06/1978 123/94 0.66
## 91 Tsai Chin-Lung 29/10/1995 120/72 0.80
## 92 Hsieh Shu-Hui 19/11/1990 128/69 1.67
## 93 Ong Lay Kheng 11/10/1994 128/95 1.78
## 94 Lu Hsiang-Ling 27/04/1984 125/86 1.05
## 95 Patricia Davis 19/09/1974 128/91 1.11
## 96 Hsu Kuo-Chang 21/06/1981 158 / 62 1.99
## 97 Betty Lewis 23/03/1955 115/84 1.01
## 98 Shen Yi-Ching 02/09/1976 85/84 0.13
## 99 Liao Chih-Cheng 18/04/1954 132/73 1.05
## 100 Nancy Robinson 24/08/1968 125/47 0.41
## 101 Wang Jie 24/03/1962 134/101 1.25
## 102 Richard Martin 13/11/1962 117/80 0.54
## 103 Chang Chung-Wei 16/08/1975 <NA> 1.04
## 104 Chang Chung-Wei 26/03/1988 139/94 1.89
## 105 Shen Yi-Ching 05/08/1993 109/77 1.53
## 106 <NA> 01/01/1995 114/81 1.18
## 107 Yen Kuo-Jung 04/03/1946 119/93 1.17
## 108 Hsieh Shu-Hui 15/01/1967 96/73 1.43
## 109 Liu Hsiao-Fen 04/05/1963 122/74 1.81
## 110 Wang Jie 29/04/1999 128/81 0.83
## 111 Hsu Kuo-Chang 28/03/1940 121/73 -1.50
## 112 Jessica White <NA> 111/83 0.63
## 113 Lee Siew Eng 06/02/2000 109/82 0.83
## 114 Wang Jie 29/04/1951 97/77 0.31
## 115 Karen Thompson 09/12/1960 128/74 1.47
## 116 Fang Shu-Chen 28/03/1953 143/77 0.85
## 117 Ho Chuan-Wei 08/06/1969 98/62 0.52
## 118 Chiu Yu-Chin 09/05/1963 143/68 1.46
## 119 Pan Mei-Hsuan 05/07/1967 127/96 0.76
## 120 Huang Li-Chen 29/09/1978 117/78 1.29
## 121 Ng Boon Hua 17/11/1976 108/65 1.42
## 122 Susan Jackson 12/11/1953 117/82 0.30
## 123 Pan Mei-Hsuan <NA> 122/78 2.07
## 124 Ong Lay Kheng 14/04/1949 134/92 1.75
## 125 Karen Thompson 24/11/1996 102 / 71 NA
## 126 Barbara Taylor 06/03/1970 136/85 0.39
## 127 Mary Johnson 26/03/1995 127/111 1.75
## 128 Barbara Taylor 03/02/1992 <NA> 1.72
## 129 Robert Wilson 31/05/2005 152/86 1.12
## 130 Tsai Chin-Lung 17/06/1989 <NA> 1.13
## 131 Nancy Robinson 17/11/1952 142/90 1.05
## 132 Tung Li-Fang 14/11/1957 119/67 0.42
## 133 Chiu Yu-Chin <NA> 123/82 1.00
## 134 Tan Wei Ming 20/08/1979 123/82 0.56
## 135 Liu Hsiao-Fen 23/07/1985 113/69 NA
## 136 <NA> 13/04/1967 100/77 0.74
## 137 Lee Siew Eng 11/11/1944 143-71 1.17
## 138 Liu Hsiao-Fen 29/05/1992 140/76 NA
## 139 Charles Clark 07/04/1979 116/80 1.94
## 140 <NA> 09/09/1956 121/78 1.98
## 141 John Smith 29/06/1941 109/82 1.22
## 142 Chang Chung-Wei April 10, 1989 108/76 0.73
## 143 Patricia Davis 06/01/1985 131/86 0.10
## 144 Cheng Shu-Fen 05/03/1952 <NA> 1.56
## 145 Joseph Garcia 04/06/1961 118/96 1.73
## 146 Yang Hsiu-Mei 20/05/1953 132/83 1.74
## 147 Richard Martin 22/03/1949 118/79 1.06
## 148 Tan Wei Ming 28/01/1979 143/72 0.84
## 149 Patricia Davis <NA> 112/61 0.76
## 150 Fang Shu-Chen 24/04/1947 141/105 1.68
## 151 William Thomas 30/07/1982 101/88 2.08
## 152 David Harris 18/09/1948 135/68 2.08
## 153 Susan Jackson 11/04/1981 128/79 2.08
## 154 Fang Shu-Chen 05/12/1964 133/85 0.41
## 155 Hsieh Shu-Hui 13/03/1970 117/80 1.16
## 156 Robert Wilson 16/06/1961 105/84 1.66
## 157 <NA> 17/06/1999 <NA> 0.39
## 158 Susan Jackson 02/09/1998 86/92 0.83
## 159 Linda Martinez 24/10/1972 123/62 1.17
## 160 <NA> <NA> 126/63 mmHg 0.10
## 161 Hsu Kuo-Chang 14/09/1980 123/69 1.11
## 162 William Thomas 18/12/1996 128/85 1.33
## 163 Chou Mei-Yu 01/02/1992 <NA> 0.53
## 164 John Smith 20/03/1980 132/92 NA
## 165 Barbara Taylor 09/03/2005 <NA> 0.94
## 166 <NA> 25/06/1965 116/78 1.24
## 167 Tsai Chin-Lung 14-12-1963 131/60 1.39
## 168 Pan Mei-Hsuan 13/04/1954 115/78 1.71
## 169 Jessica White 06/11/1953 120/78 0.66
## 170 Tsai Chin-Lung 03/09/1948 129/93 1.36
## 171 Chen Wei <NA> 119/78 1.04
## 172 123456 1945 149/83 1.24
## 173 Patricia Davis 23/09/1953 118/83 1.45
## 174 Lee Siew Eng 23-08-1998 125/75 1.88
## 175 Wang Jie 07/02/1945 135/64 1.42
## 176 Tseng Wen-Liang 26/11/1957 110/78 0.74
## 177 James Brown 15/02/1990 119/83 -1.21
## 178 Mary Johnson 25/04/1992 123/97 1.02
## 179 Patricia Davis 21/01/1947 133/81 0.70
## 180 Liao Chih-Cheng 09/11/1951 130/81 1.61
## 181 Chiu Yu-Chin 07/04/2005 118/92 1.15
## 182 Lin Mei-Ling 19/01/1999 130/69 -0.53
## 183 Nancy Robinson 17/03/1954 142/89 1.74
## 184 Kung Mei-Lin <NA> 107/78 0.10
## 185 Ong Lay Kheng 19/07/1941 114/79 1.12
## 186 Robert Wilson 27/06/1962 134/70 1.52
## 187 <NA> 22/09/1949 109/94 0.17
## 188 Yen Kuo-Jung 09/09/1999 131/70 0.70
## 189 David Harris 26/01/1998 106/71 2.27
## 190 Michael Anderson 13/08/1946 <NA> 0.83
## 191 James Brown 22/10/1996 130/84 1.52
## 192 Pan Mei-Hsuan 24/12/1952 115/80 1.36
## 193 Charles Clark 12/08/1944 145/84 0.94
## 194 Yang Hsiu-Mei 09/11/1998 138/85 2.00
## 195 Patricia Davis 08/05/1972 110/81 1.28
## 196 Cheng Shu-Fen 06/01/1973 105/84 0.84
## 197 Michael Anderson 11/09/1943 116/72 0.73
## 198 Kao Chin-Feng 07/06/1982 130/72 1.25
## 199 Tsai Chin-Lung <NA> 125/66 0.79
## 200 <NA> 02/21/1995 <NA> 1.90
## 201 Wu Ming-Hui <NA> 124/76 0.49
## 202 Joseph Walker 06/06/1995 138/96 1.36
## 203 Betty Lewis 11/06/1992 103mmHg/81 0.56
## 204 Tung Li-Fang <NA> 121/70 0.56
## 205 Kao Chin-Feng 12/04/1970 118/62 0.32
## 206 Hsu Kuo-Chang <NA> 113/98 1.50
## 207 Tan Wei Ming 22/11/1999 124/85 1.73
## 208 Jessica White 25/05/1998 119/85 2.22
## 209 Lu Hsiang-Ling 12/05/1990 <NA> 1.41
## 210 Chiu Yu-Chin 12/09/1957 131/86 1.32
## 211 Joseph Garcia 17/09/1982 136/94 1.56
## 212 Ng Boon Hua <NA> <NA> 0.97
## 213 Ng Boon Hua 24/11/2005 151 / 80 2.16
## 214 William Thomas 12/01/1968 <NA> 0.73
## 215 David Harris 28/08/1979 115/87 0.99
## 216 Ho Chuan-Wei 11/07/1947 132/76 1.80
## 217 David Harris 27/03/1986 122/85 1.88
## 218 Helen Hall 21/06/1998 139/67 0.58
## 219 Ng Boon Hua 20/10/1955 142/75 1.55
## 220 Susan Jackson 29/04/1997 119/68 1.15
## 221 Pan Mei-Hsuan 21/01/1993 <NA> 0.14
## 222 Betty Lewis 09/09/1956 121/78 1.98
## 223 Tseng Wen-Liang 12/11/1957 135/58 0.61
## 224 Richard Martin 07/03/1951 94/83 1.06
## 225 Tseng Wen-Liang 19/04/1980 116/72 0.16
## 226 Helen Hall 03/02/1973 128/71 1.61
## 227 Yang Hsiu-Mei 22/10/1990 117/95 1.45
## 228 Susan Jackson <NA> 157/67 0.86
## 229 Richard Martin 20/01/2003 135/80 1.39
## 230 Linda Martinez 02/06/1951 <NA> 0.52
## 231 Karen Thompson 05-05-1994 127/75 1.63
## 232 Barbara Taylor 04/10/1959 110/88 2.02
## 233 Ng Boon Hua 06/09/1941 131/93 1.05
## 234 <NA> 04/04/2002 101/86 1.59
## 235 Shen Yi-Ching 23/04/1991 154/113 1.84
## 236 Kao Chin-Feng 11/04/1994 125/110 0.93
## 237 Tung Li-Fang February 16, 1961 104/80 1.80
## 238 Nancy Robinson 19/12/1967 111/86 1.07
## 239 David Harris 29/11/1992 146/75 0.47
## 240 Lin Mei-Ling 19/08/1955 143/86 0.83
## 241 Kao Chin-Feng 08/09/1961 104/87 2.35
## 242 Barbara Taylor 03/02/1992 139/84 1.72
## 243 Mary Johnson 15/04/2004 121/61 1.85
## 244 Charles Clark 26/11/1997 92/90 NA
## 245 Kung Mei-Lin 21/08/1978 <NA> 1.05
## 246 Ong Lay Kheng 04/12/1954 <NA> 1.22
## 247 Lu Hsiang-Ling 20/04/1959 106/78 0.57
## 248 Tan Wei Ming 29/07/1990 111/69 0.29
## 249 Yang Hsiu-Mei 13/08/2001 115/60 0.55
## 250 <NA> 29/11/1958 123/75 0.54
## 251 Chiu Yu-Chin 16/06/1941 128/81 0.69
## 252 Betty Lewis 06/06/1973 <NA> 1.43
## 253 123456 30/11/1957 111/73 0.71
## 254 Joseph Walker 19/04/2003 123/69 1.69
## 255 Wu Ming-Hui 18/07/1985 94/67 0.72
## 256 Pasien 13/05/1968 <NA> 0.10
## 257 Tseng Wen-Liang 17/05/1972 108/86 0.62
## 258 Ong Lay Kheng 20/09/1979 129/82 0.38
## 259 Liao Chih-Cheng 29/10/1941 116/85 1.01
## 260 Jessica White 16/03/1947 101/78 0.95
## 261 Ong Lay Kheng 13/12/1946 129/78 0.79
## 262 John Smith 20/03/1971 <NA> 1.56
## 263 Nancy Robinson 02/07/1990 119/71 0.10
## 264 Yen Kuo-Jung 05/11/1958 159/78 1.42
## 265 Nancy Robinson 14/04/1986 147/88 1.23
## 266 Michael Anderson 18/09/1995 129/59 0.33
## 267 Yen Kuo-Jung 02/24/2002 119/83 1.66
## 268 Ng Boon Hua 05/07/1980 125/87 0.59
## 269 123456 31/05/1959 122/113 1.72
## 270 John Smith 26/07/1949 127/60 1.17
## 271 Patricia Davis 02/12/1972 144/67 1.83
## 272 Yen Kuo-Jung 11/02/1980 103/72 1.25
## 273 Susan Jackson 06/07/1977 125/75 NA
## 274 John Smith 12/07/1940 143/70 0.98
## 275 Karen Thompson <NA> 132/84 NA
## 276 Jessica White 14/05/1953 149/90 1.49
## 277 Betty Lewis 23/05/1988 121/96 1.66
## 278 Lin Mei-Ling 07/05/1950 111/77 NA
## 279 Tan Wei Ming 07/03/1977 119/78 1.47
## 280 Pan Mei-Hsuan 22/09/1940 124/92 0.75
## 281 Susan Jackson 11/11/1987 135/68 1.37
## 282 Hsu Kuo-Chang 19/11/1955 129/106 1.34
## 283 Chang Chung-Wei 22/09/1952 129/78 0.95
## 284 Ng Boon Hua <NA> 126/76 0.97
## 285 123456 10/04/1980 125/75 1.66
## 286 Lin Mei-Ling 03/02/1956 108/87 1.32
## 287 Pasien 04/12/1988 128/62 0.91
## 288 <NA> 28/05/1948 116/83 1.14
## 289 David Harris 11/02/1984 114/91 0.97
## 290 Chang Chung-Wei 13/12/1975 118/84 1.71
## 291 Robert Wilson 19/10/1981 107/84 0.63
## 292 Hsu Kuo-Chang 15/09/1955 118/88 1.64
## 293 <NA> 04/10/1956 91/80 0.10
## 294 Lu Hsiang-Ling 14/06/2001 94/74 0.56
## 295 <NA> 08/12/1942 124/82 1.57
## 296 David Harris 26/08/1981 113/82 1.87
## 297 William Thomas 24/06/1994 144/97 1.61
## 298 Wu Ming-Hui 19/07/2002 119/73 1.18
## 299 James Brown 17/11/1981 122/56 0.30
## 300 Ng Boon Hua 12/01/1992 125/83 1.85
## 301 Tung Li-Fang 07 Nov 2004 155/71 1.61
## 302 Kao Chin-Feng 25/03/1996 113/77 0.42
## 303 David Harris 18/06/1961 133/100 NA
## 304 Linda Martinez 10/11/2000 <NA> NA
## 305 Chou Mei-Yu 23/02/1946 129/70 2.58
## 306 Pan Mei-Hsuan 24/11/1984 109/76 0.81
## 307 Mary Johnson 08/09/1959 143/69 2.27
## 308 Richard Martin 15/08/1969 <NA> 1.42
## 309 Wu Ming-Hui 16/12/2002 136/92 0.98
## 310 Tung Li-Fang 14/08/1984 97/65 0.10
## 311 Pan Mei-Hsuan 03/07/1981 115/87 1.29
## 312 Hsieh Shu-Hui 16/12/1963 124/78 2.05
## 313 Linda Martinez 02/01/1980 113/89 0.69
## 314 Fang Shu-Chen 20/07/1985 108/72 0.21
## 315 Lin Mei-Ling 23/02/1944 117/85 1.58
## 316 Chang Chung-Wei 11/12/1949 105/68 1.57
## 317 Patricia Davis <NA> 114/63 1.40
## 318 Tan Wei Ming 21/10/1965 <NA> 1.74
## 319 Tung Li-Fang 28/08/1991 139/74 1.03
## 320 Tung Li-Fang 06/12/1950 143/78 2.03
## 321 Ong Lay Kheng <NA> 143/73 2.28
## 322 Helen Hall 10/09/1954 155/83 1.45
## 323 Lu Hsiang-Ling 27/08/1987 146/75 0.85
## 324 Cheng Shu-Fen 30/12/1963 94/89 NA
## 325 Chen Wei 17/05/1965 121/77 1.09
## 326 Charles Clark <NA> 126/97 1.10
## 327 Tseng Wen-Liang 16/09/1949 151/74 0.87
## 328 unknown 02/06/1981 131/73 0.86
## 329 <NA> 01/01/1969 134/76 0.87
## 330 Ong Lay Kheng 15/04/1977 118/81 1.76
## 331 Lu Hsiang-Ling 17/11/1997 139/84 0.99
## 332 Richard Martin 19/03/1970 132/96 2.51
## 333 Tan Ah Kow 07/11/1967 116/71 0.83
## 334 Shen Yi-Ching 27/03/1974 131/89 1.23
## 335 Patricia Davis 23/10/1988 136/77 1.76
## 336 Liu Hsiao-Fen 27/04/1966 110/78 0.58
## 337 Richard Martin 06/04/1950 <NA> 0.68
## 338 Shen Yi-Ching 28/04/1947 97/71 NA
## 339 Tseng Wen-Liang 03/05/1985 115/100 1.59
## 340 <NA> 29/10/1961 119/81 0.12
## 341 Jessica White 20/06/1969 102/88 0.36
## 342 Betty Lewis 23/05/1988 121/96 1.66
## 343 Wang Jie 13/01/1998 103/74 0.10
## 344 Hsu Kuo-Chang 12/01/1987 111/83 0.19
## 345 Wang Jie 13/01/1998 154mmHg/89 0.10
## 346 Fang Shu-Chen 20/10/1968 100/77 1.44
## 347 Ong Lay Kheng 25/09/1988 114/67 0.98
## 348 Joseph Garcia 17/05/1945 112/76 1.41
## 349 Ong Lay Kheng <NA> 113/83 1.78
## 350 Joseph Walker 24/04/2000 <NA> 2.12
## 351 Betty Lewis <NA> 112/62 0.58
## 352 Pan Mei-Hsuan 07/01/2000 124/91 1.21
## 353 Karen Thompson 04/03/1959 121/86 1.42
## 354 Lu Hsiang-Ling 17/11/1997 139/84 0.99
## 355 James Brown 11/01/1956 137/70 0.97
## 356 Richard Martin 19/12/1950 123/65 0.71
## 357 Lin Mei-Ling 08/03/1956 126/88 0.50
## 358 Hsu Kuo-Chang 03/08/1969 97/76 1.28
## 359 Michael Anderson 02 Feb 1967 92/67 1.14
## 360 Tan Ah Kow <NA> 137/81 0.93
## 361 Tan Wei Ming 27/11/1962 136/65 1.02
## 362 Karen Thompson 05/03/1991 110/63 0.70
## 363 Lu Hsiang-Ling 29/10/1992 111/71 NA
## 364 <NA> 08/03/1948 117/80 1.10
## 365 Hsu Kuo-Chang 31/12/1973 <NA> 1.72
## 366 Kao Chin-Feng 17/08/1997 138/77 1.88
## 367 Charles Clark 22/09/2001 135/78 1.26
## 368 Wu Ming-Hui 23/01/1961 124/75 1.40
## 369 Charles Clark 13/12/1998 142/81 1.15
## 370 Tseng Wen-Liang 14/02/1942 133/93 1.93
## 371 Ong Lay Kheng 15/04/1991 105/83 2.00
## 372 Pan Mei-Hsuan <NA> 148/102 2.42
## 373 Shen Yi-Ching 05/02/1957 114/77 1.39
## 374 Tsai Chin-Lung 02/09/1964 <NA> 1.75
## 375 Nancy Robinson 12/03/1959 126/77 1.65
## 376 Linda Martinez 22/12/1972 121/65 0.51
## 377 Lee Siew Eng 27/07/1983 133/79 1.75
## 378 Pan Mei-Hsuan 26/10/1977 118/81 0.72
## 379 Pan Mei-Hsuan 01/06/1997 114/68 0.39
## 380 Tan Ah Kow 24/09/1951 <NA> 0.77
## 381 Chang Chung-Wei 03/07/2003 120/89 2.20
## 382 Chang Chung-Wei 01/02/1968 144/67 0.53
## 383 Liao Chih-Cheng 16/12/1950 78/76 0.88
## 384 NULL 10/11/1982 131/81 1.24
## 385 Liu Hsiao-Fen 04/07/1998 115/82 1.26
## 386 Richard Martin 03/03/1971 123/76 0.89
## 387 Tan Wei Ming 24/01/1992 129/75 0.58
## 388 Mary Johnson 08/11/1975 128/76 1.04
## 389 Ho Chuan-Wei 30/03/1986 115/85 NA
## 390 Tan Wei Ming 16/07/1950 100/74 1.29
## 391 Wang Jie 13/10/1959 101/100 1.36
## 392 Kung Mei-Lin 14/09/1989 117/88 1.61
## 393 Pan Mei-Hsuan 02/01/2005 119/61 1.12
## 394 Tsai Chin-Lung 01/05/1941 126/96 1.76
## 395 Lu Hsiang-Ling 21/08/1952 139/72 1.33
## 396 Lu Hsiang-Ling 30/10/1963 156/76 0.76
## 397 <NA> 28/05/1957 128/64 0.71
## 398 Chang Chung-Wei 07/12/1970 100/84 0.72
## 399 Linda Martinez 19/05/1945 133/64 1.46
## 400 Tan Wei Ming 25/11/1947 118/80 NA
## 401 Richard Martin 02/09/1978 123/72 0.96
## 402 Joseph Walker 18/12/1985 143/79 1.74
## 403 Tan Wei Ming 21/04/1958 82/71 1.19
## 404 Linda Martinez 24/03/1941 115/68 0.48
## 405 Liu Hsiao-Fen 02/12/1969 164/70 2.19
## 406 Patricia Davis 02/06/1994 150/67 0.41
## 407 NULL 10/03/1999 128/82 1.64
## 408 Michael Anderson 02/03/2001 88/84 0.27
## 409 John Smith 12/12/1982 130/81 0.65
## 410 Richard Martin 10/07/1966 112/74 0.59
## 411 Joseph Walker 13/10/1942 107/63 1.82
## 412 Fang Shu-Chen 16/07/1956 142/72 1.24
## 413 Ong Lay Kheng 23/01/1994 117/77 0.48
## 414 James Brown 14/04/2003 138/62 0.10
## 415 Lu Hsiang-Ling 29/04/1951 126/72 2.08
## 416 Liu Hsiao-Fen 03/01/1990 154/75 0.83
## 417 Chen Wei 28/04/1954 123/58 NA
## 418 Liao Chih-Cheng 11/02/1988 129/81 1.50
## 419 Karen Thompson 15/11/1977 156/92 0.99
## 420 Hsieh Shu-Hui 31/05/1953 105/69 0.42
## 421 Lee Siew Eng 06/09/1972 115/81 1.77
## 422 Joseph Walker 25/08/1991 116/68 1.56
## 423 Yang Hsiu-Mei 30 Jan 1980 121/83 0.16
## 424 Chang Chung-Wei 13/10/1964 125/81 1.47
## 425 Ong Lay Kheng 21/05/1999 119/46 0.68
## 426 Yen Kuo-Jung 11/05/2005 102/83 0.85
## 427 Hsieh Shu-Hui 20/10/1998 118/64 0.89
## 428 Huang Li-Chen 07/03/1979 115/79 0.73
## 429 Chiu Yu-Chin 10/05/1950 125/85 1.38
## 430 Tung Li-Fang 08/09/1980 117/79 1.48
## 431 Shen Yi-Ching 26/02/1970 123/72 1.31
## 432 Lu Hsiang-Ling 05/08/1955 149/95 2.26
## 433 <NA> 19/07/1940 84/54 0.51
## 434 Wang Jie 09/12/1975 109/85 1.43
## 435 William Thomas 18/10/1973 127/81 1.77
## 436 Chang Chung-Wei 12/02/1993 125/84 2.21
## 437 James Brown 30/09/1967 117/64 1.35
## 438 Hsu Kuo-Chang 22/03/1956 121/102 1.33
## 439 Tung Li-Fang 19/07/1979 98/86 1.19
## 440 Chou Mei-Yu 09/08/1999 110 0.70
## 441 Chang Chung-Wei <NA> 131/62 0.80
## 442 Lu Hsiang-Ling 15/08/1996 91/97 NA
## 443 Tung Li-Fang 28/08/1991 139/74 1.03
## 444 William Thomas 18/06/1962 115/84 1.07
## 445 John Smith 03/11/1994 139/77 0.98
## 446 Hsu Kuo-Chang 20/01/1963 116/61 0.38
## 447 Joseph Garcia 19/08/1984 <NA> 0.33
## 448 Ong Lay Kheng 20/03/1947 132/80 0.49
## 449 Chang Chung-Wei 01/05/1970 129/74 2.22
## 450 Wu Ming-Hui 31/05/1957 111/88 0.78
## 451 Wang Jie 17/04/1952 129/76 1.94
## 452 Hsieh Shu-Hui 15/02/2000 130/63 0.84
## 453 Fang Shu-Chen 31/01/1955 131/63 1.14
## 454 Richard Martin 14/04/1947 108/57 0.95
## 455 Kung Mei-Lin 06 May 1947 94/78 1.98
## 456 Joseph Walker 10/12/1952 132/82 0.10
## 457 Shen Yi-Ching 17/07/1999 104/82 0.62
## 458 Lu Hsiang-Ling 25/11/1990 114/79 1.72
## 459 James Brown 20/12/1944 100/86 0.98
## 460 <NA> 08/29/1959 138/85 2.00
## 461 Liao Chih-Cheng 17/06/1948 142/73 0.98
## 462 Yen Kuo-Jung 21/01/2003 101/46 0.92
## 463 Richard Martin 05/12/1975 80/73 1.19
## 464 Lee Siew Eng 11/10/1944 113/86 2.11
## 465 David Harris <NA> 119/74 1.75
## 466 Barbara Taylor 02/11/1966 92/69 1.23
## 467 Hsieh Shu-Hui 24/12/1975 135/78 0.89
## 468 Lu Hsiang-Ling 01/02/1979 97/89 1.56
## 469 Ng Boon Hua 24/03/1948 117/68 1.73
## 470 Lu Hsiang-Ling 06/03/1950 132/75 1.49
## 471 Yen Kuo-Jung 19/05/1967 110/86 1.02
## 472 Fang Shu-Chen 29/07/1942 128/85 NA
## 473 Charles Clark 22/10/1954 101/72 1.24
## 474 Liu Hsiao-Fen 16/05/1951 145/73 0.41
## 475 Tseng Wen-Liang 10/02/1997 128/80 0.95
## 476 Patricia Davis 05/12/1963 122/67 0.82
## 477 Ho Chuan-Wei 22/04/1979 110/68 1.35
## 478 Huang Li-Chen 14/09/1941 120/95 1.73
## 479 David Harris 15/01/1984 127/95 1.20
## 480 Ho Chuan-Wei 09-01-1941 Sys:131 Dia:65 0.84
## 481 Patricia Davis 07/11/1999 128/78 NA
## 482 Mary Johnson <NA> 102/77 0.36
## 483 Helen Hall 23/08/1960 <NA> 0.95
## 484 Ng Boon Hua 21/07/2001 129/82 0.34
## 485 Huang Li-Chen 26/01/1961 117/87 0.97
## 486 Yen Kuo-Jung 09/11/1970 124/97 0.55
## 487 William Thomas 06/01/1999 108/88 1.76
## 488 <NA> 28/05/1946 141|87 0.70
## 489 Helen Hall 02/12/1990 115/75 0.79
## 490 Hsieh Shu-Hui 28/08/1970 146/100 0.93
## 491 William Thomas 03/02/1988 106/86 0.21
## 492 Yang Hsiu-Mei 22/05/1994 116/84 0.70
## 493 Michael Anderson 13/04/1976 122/72 0.71
## 494 Wu Ming-Hui 13 Jan 2001 103/80 0.41
## 495 Helen Hall 17/12/1965 122/85 1.59
## 496 Tseng Wen-Liang 09/02/1948 94/80 1.56
## 497 Helen Hall 05/04/1976 134/78 1.75
## 498 Ho Chuan-Wei 18/11/1959 124/74 0.63
## 499 William Thomas 06/10/1953 127/90 1.88
## 500 John Smith 31/03/1942 135/96 NA
## 501 Ho Chuan-Wei 22/05/1970 107/77 0.53
## 502 Tung Li-Fang 17/06/1970 142/86 0.46
## 503 Robert Wilson 31/07/1987 109/69 2.06
## 504 William Thomas 22/04/1953 120/76 0.61
## 505 James Brown 22/05/1990 122/57 0.10
## 506 Nancy Robinson 24/03/1960 130/76 1.21
## 507 Chang Chung-Wei 15/01/1965 123/72 0.76
## 508 Liao Chih-Cheng 28/04/1960 125/68 1.62
## 509 <NA> 27/01/1996 117/78 0.63
## 510 James Brown 14/07/1953 124/68 0.84
## 511 Ho Chuan-Wei 21/05/1982 130/107 0.86
## 512 Hsu Kuo-Chang 17/05/1969 128/92 1.27
## 513 unknown 10/05/1947 137/82 1.08
## 514 Karen Thompson 21/08/1993 108/73 1.32
## 515 Joseph Garcia 28/04/2001 121/83 0.26
## 516 Kao Chin-Feng 26/10/1967 94/83 1.92
## 517 Charles Clark 10/11/1944 119/67 NA
## 518 Lin Mei-Ling 22/10/1952 119/74 1.73
## 519 <NA> 28/06/1955 <NA> 1.62
## 520 Chang Chung-Wei 18/08/1979 108/71 1.87
## 521 Hsieh Shu-Hui 17/05/1988 116/65 0.53
## 522 William Thomas 24/07/1984 135/90 1.48
## 523 Kung Mei-Lin <NA> 116/84 0.58
## 524 David Harris 06/12/1958 139/87 1.68
## 525 Tsai Chin-Lung 04/04/2000 109/70 0.74
## 526 Lu Hsiang-Ling 13/03/1991 126/69 0.66
## 527 Susan Jackson 12/04/1988 116/80 0.40
## 528 Shen Yi-Ching 22/06/1943 122/74 1.05
## 529 Pan Mei-Hsuan 15/12/1943 <NA> 1.03
## 530 Charles Clark 09/08/1944 129/94 2.12
## 531 Susan Jackson 15/01/2001 121/72 0.99
## 532 Tung Li-Fang 26/09/2004 115/82 NA
## 533 Mary Johnson 06/04/1996 115/82 1.61
## 534 Huang Li-Chen 16/03/1961 137/70 1.81
## 535 Joseph Walker 25/08/1991 122-71 1.56
## 536 Wang Jie 14/05/1991 138/82 1.76
## 537 Tung Li-Fang 27/09/1965 132/76 1.59
## 538 Lin Mei-Ling 13/01/1950 105/72 0.92
## 539 Tan Ah Kow 01/04/1941 102/87 1.83
## 540 Chang Chung-Wei 23/05/1985 110/81 NA
## 541 Yen Kuo-Jung 28/10/1969 127/88 0.69
## 542 Hsieh Shu-Hui 31/03/1945 127/98 0.82
## 543 Kung Mei-Lin 26/07/1965 129/69 1.97
## 544 <NA> 26/07/1976 114|71 1.04
## 545 Hsu Kuo-Chang 13/07/1954 127/69 1.42
## 546 <NA> 20/09/1967 117/66 0.38
## 547 Chiu Yu-Chin 01/01/1969 134/76 0.87
## 548 Helen Hall 07/10/1986 132/72 0.10
## 549 James Brown 05/04/1993 120/81 0.28
## 550 Tan Wei Ming 09/05/1985 147/76 1.15
## 551 Karen Thompson 23/08/1990 116/71 0.37
## 552 Helen Hall 15/03/1992 134/73 2.59
## 553 Chang Chung-Wei 30/07/1969 123/66 0.84
## 554 Robert Wilson 21/06/1982 112/62 0.46
## 555 Yen Kuo-Jung 27/07/1978 <NA> NA
## 556 Hsieh Shu-Hui 15/01/1967 96/73 1.43
## 557 Ho Chuan-Wei 05/12/1942 108/75 0.58
## 558 James Brown 03/07/1997 121/63 1.42
## 559 <NA> 14/06/1979 Sys:90 Dia:76 1.15
## 560 Huang Li-Chen 23/06/1966 122/76 1.66
## 561 Liao Chih-Cheng 16/12/1950 78/76 0.88
## 562 Ho Chuan-Wei 10/01/1972 116/85 2.10
## 563 Jessica White 24/02/2000 116/80 1.63
## 564 <NA> 18/09/1953 137/78 0.44
## 565 Liao Chih-Cheng 12/09/1941 137/98 150.00
## 566 <NA> 14/03/1951 105/70 1.12
## 567 <NA> 24/04/1956 107/57 0.72
## 568 Karen Thompson 12/11/1993 114/73 0.87
## 569 Richard Martin 17/04/1949 122/58 0.21
## 570 Linda Martinez 03/05/1977 141/80 0.73
## 571 Yen Kuo-Jung 31/10/1967 141/86 1.60
## 572 Lu Hsiang-Ling 17/05/1964 92/75 0.35
## 573 <NA> 23/01/1980 132/88 0.79
## 574 Ong Lay Kheng 06/01/1987 114/67 1.10
## 575 Joseph Walker 09/09/1981 136/76 1.27
## 576 Charles Clark 31/01/1978 128/79 1.60
## 577 Jessica White 18/08/1976 106/62 0.87
## 578 Fang Shu-Chen 13/02/1954 109/79 0.46
## 579 Tsai Chin-Lung 26/08/1990 130/85 1.58
## 580 Ng Boon Hua 21/02/1940 146/66 0.42
## 581 Susan Jackson 25/11/1948 123/80 1.63
## 582 David Harris 28/06/1995 122/78 0.75
## 583 Shen Yi-Ching 23/09/1991 124/84 1.50
## 584 Wu Ming-Hui 22/11/1978 137/82 0.69
## 585 Richard Martin 21/04/1998 92/89 0.70
## 586 Susan Jackson 22/02/2002 99/69 0.60
## 587 Hsu Kuo-Chang 03/04/1975 121/56 0.61
## 588 Chou Mei-Yu <NA> 89/72 0.83
## 589 <NA> 01/12/1998 148/79 1.50
## 590 James Brown 27/04/1987 120/86 0.82
## 591 <NA> 06/05/1971 96/95 1.63
## 592 Tung Li-Fang 20/09/1975 113/79 2.24
## 593 Ong Lay Kheng 15/02/1946 139/87 1.16
## 594 Wu Ming-Hui 17/07/2000 106/69 NA
## 595 Tan Wei Ming 28/06/1989 116/70 0.56
## 596 Barbara Taylor 17/05/1959 124/82 1.94
## 597 <NA> <NA> 105/79 1.28
## 598 Shen Yi-Ching 31/08/1977 102/89 1.43
## 599 Jessica White 13/09/1985 97/83 1.01
## 600 Patricia Davis 15/06/1972 132/88 1.82
## 601 Huang Li-Chen 26/08/1961 132/76 1.13
## 602 Huang Li-Chen 15/07/1960 140/93 NA
## 603 Hsu Kuo-Chang 06/08/1967 127/86 1.16
## 604 Tsai Chin-Lung 1988 104/88 1.36
## 605 Robert Wilson 26/03/1943 125/82 1.98
## 606 Tan Ah Kow 08/01/1964 125/75 0.41
## 607 Lee Siew Eng 29/05/1970 130/79 2.30
## 608 Kung Mei-Lin 10/09/1978 <NA> 1.58
## 609 Lu Hsiang-Ling 23/12/1980 133/103 0.91
## 610 Helen Hall 18/11/1986 129/83 1.88
## 611 Kao Chin-Feng 09/01/1962 95/88 0.53
## 612 Joseph Walker 05/03/1976 117/74 1.24
## 613 Chiu Yu-Chin 05/09/1944 114/69 1.99
## 614 Hsu Kuo-Chang 18/11/2001 135/80 0.67
## 615 Tseng Wen-Liang 08/07/1952 148/89 1.41
## 616 Tung Li-Fang 27/12/1974 109/65 0.49
## 617 Liu Hsiao-Fen <NA> 125/71 0.16
## 618 Liu Hsiao-Fen 13/01/1966 116/88 1.61
## 619 Ng Boon Hua 18/05/1989 124/82 0.82
## 620 Pan Mei-Hsuan 31/01/1944 109/86 1.53
## 621 Barbara Taylor 10/09/1989 155/99 NA
## 622 Ong Lay Kheng 14/03/1985 131/68 1.94
## 623 Kung Mei-Lin 07/05/1974 90/67 0.72
## 624 Betty Lewis 19/02/1968 127-62 1.63
## 625 Wu Ming-Hui 29/08/1978 122/77 1.62
## 626 Pan Mei-Hsuan 04/09/1980 <NA> 0.79
## 627 Tung Li-Fang 12/03/1984 116/90 1.45
## 628 Tung Li-Fang 17/06/1970 142/86 -0.46
## 629 Tan Ah Kow 13/06/1969 145/88 1.53
## 630 Wu Ming-Hui 02/07/1979 <NA> 0.28
## 631 William Thomas 03/09/1985 127/83 1.33
## 632 David Harris 10/10/1966 137/90 2.12
## 633 Tsai Chin-Lung 13/07/1953 <NA> 1.64
## 634 Betty Lewis 19/08/1989 <NA> 2.01
## 635 Liu Hsiao-Fen 22/07/1958 105/97 0.27
## 636 Ong Lay Kheng 07/06/1986 118/76 0.57
## 637 Yen Kuo-Jung 12/02/1960 119/83 1.66
## 638 <NA> 12/04/1948 156/75 1.21
## 639 Helen Hall 25/03/1990 133|78 1.37
## 640 Richard Martin 26/06/2002 113/69 0.32
## 641 Kao Chin-Feng 27/12/1958 <NA> 0.74
## 642 Kung Mei-Lin 13/06/1973 142/83 1.63
## 643 Ng Boon Hua 03 Jan 1947 127/75 1.49
## 644 Pasien 17/10/1963 143/77 0.78
## 645 Linda Martinez 28/11/1940 120/58 0.88
## 646 Liu Hsiao-Fen 16/12/1953 148/91 1.95
## 647 Kung Mei-Lin 11/01/1986 107/74 0.57
## 648 Tseng Wen-Liang <NA> 150/82 0.10
## 649 Hsu Kuo-Chang 22/08/1979 120/62 0.90
## 650 Wu Ming-Hui 08/03/1947 114mmHg/67 0.41
## 651 Joseph Walker 15/09/1979 114/85 1.23
## 652 Tseng Wen-Liang 12/07/1942 149/91 1.02
## 653 123456 28/03/1960 107|60 2.01
## 654 Barbara Taylor 31/10/1975 107/82 0.46
## 655 Chen Wei <NA> 121/102 0.98
## 656 James Brown 12/12/1992 86/80 2.57
## 657 Wang Jie 29/04/1966 <NA> 0.10
## 658 Joseph Walker 24/11/1946 109/74 1.42
## 659 Tung Li-Fang 04/06/1981 <NA> 1.29
## 660 Chen Wei 15/08/1984 118/87 2.08
## 661 Chiu Yu-Chin 25/12/1943 123/93 1.74
## 662 Barbara Taylor 24/09/1972 115/97 1.39
## 663 unknown 18/04/1993 145/88 1.71
## 664 Robert Wilson 1985 127/87 0.82
## 665 Wang Jie 19/06/2005 119/56 0.66
## 666 Hsieh Shu-Hui 22/11/1994 109/52 0.59
## 667 <NA> 28/12/1964 116/90 1.16
## 668 . <NA> 110/85 1.20
## 669 John Smith 23/07/1986 124/84 1.28
## 670 <NA> 15/11/1987 105/63 0.66
## 671 Wu Ming-Hui 13/02/2004 122/90 1.10
## 672 Joseph Garcia <NA> 88/83 NA
## 673 Patricia Davis 07/11/1976 100/47 0.43
## 674 <NA> 03/12/1946 141/76 1.27
## 675 Patricia Davis 28/12/1980 131/82 1.87
## 676 Tan Ah Kow 02/09/1997 97/66 0.96
## 677 Huang Li-Chen 27/02/1960 89/78 NA
## 678 Tseng Wen-Liang 15/05/1981 138/77 0.56
## 679 Joseph Walker 24/07/1949 141/71 1.85
## 680 Lu Hsiang-Ling 15/07/1972 99/76 0.47
## 681 Richard Martin 04/09/1988 98/94 1.24
## 682 Cheng Shu-Fen <NA> 134/70 2.25
## 683 Huang Li-Chen 07/04/1962 124/73 1.02
## 684 Susan Jackson 26/06/1962 117/73 1.88
## 685 Fang Shu-Chen 13/02/1954 109/79 0.46
## 686 Kao Chin-Feng 06/02/1976 121/55 0.65
## 687 Tan Wei Ming 13/11/1968 96/53 0.53
## 688 Joseph Garcia 24/09/1980 122/89 0.10
## 689 Wang Jie 07/02/1945 135/64 1.42
## 690 Tan Wei Ming 02/10/2002 147/79 1.33
## 691 Yang Hsiu-Mei 16/04/1996 117/75 2.31
## 692 James Brown 19/07/1973 103/92 NA
## 693 Nancy Robinson 26/07/1947 135/90 0.65
## 694 Tan Wei Ming 18/09/1997 123/60 0.79
## 695 Liu Hsiao-Fen <NA> 120/89 1.73
## 696 Tseng Wen-Liang 07/11/1976 133/75 1.02
## 697 Karen Thompson 28/08/2004 146/67 2.07
## 698 Chiu Yu-Chin 29/04/1958 114/82 1.49
## 699 Helen Hall 04/06/2001 111/73 1.54
## 700 Huang Li-Chen 06/03/2001 <NA> 1.56
## Microcirculation_PU Suhu_Tubuh_Celcius Penyakit
## 1 42.0 37.6 Non-Diabetic
## 2 41.9 36.5°C Non-Diabetic
## 3 26.3 37.5 Non-Diabetic
## 4 NA 37.0 Diabetic
## 5 25.5 36.0 Diabetic
## 6 42.2 36.8 Non-Diabetic
## 7 2.0 36.3 Diabetic
## 8 9.5 36.4 Diabetic
## 9 24.8 36.9 Non-Diabetic
## 10 40.9 36.6 Non-Diabetic
## 11 44.0 37.2celcius Non-Diabetic
## 12 23.1 36.4 Diabetic
## 13 6.5 37.1 Diabetic
## 14 20.0 37.1 Diabetic
## 15 53.5 36.5 <NA>
## 16 31.9 36.6 Non-Diabetic
## 17 49.5 36.4 Non-Diabetic
## 18 40.8 37.0 Non-Diabetic
## 19 21.1 36.6 Diabetic
## 20 22.0 36.5 Non-Diabetic
## 21 51.6 37.0 <NA>
## 22 45.2 36.4 Non-Diabetic
## 23 15.7 36.8 Diabetic
## 24 1.0 36.9 Diabetic
## 25 56.2 37.1 Sehat
## 26 25.1 36.5 Non-Diabetic
## 27 22.3 36.9 C Diabetic
## 28 NA 36.3 Non-Diabetic
## 29 28.5 36.8 <NA>
## 30 39.9 36.5 Non-Diabetic
## 31 21.3 37.0 Non-Diabetic
## 32 25.6 36.9 Non-Diabetic
## 33 8.6 36.6 Diabetic
## 34 22.8 36.7 Diabetic
## 35 NA 36.6 Diabetic
## 36 4.3 37.4 Diabetic
## 37 56.8 37.2 Sakit
## 38 36.3 36.9 Non-Diabetic
## 39 NA 37.2 Diabetic
## 40 NA 36.5 Diabetic
## 41 21.4 37.0 Non-Diabetic
## 42 13.7 36.4 Diabetic
## 43 35.8 37.2 Non-Diabetic
## 44 -20.0 36.8 Diabetic
## 45 35.3 35.7 Non-Diabetic
## 46 52.8 36.3 Non-Diabetic
## 47 34.7 36.6 Non-Diabetic
## 48 NA 36.6 Non-Diabetic
## 49 -19.3 36.8 Diabetic
## 50 21.6 36.5 Diabetic
## 51 10.4 36.6 Diabetic
## 52 42.3 37.1 Non-Diabetic
## 53 49.4 37.4 Non-Diabetic
## 54 19.5 36.7 Diabetic
## 55 37.6 36.2 Non-Diabetic
## 56 13.3 36.8 Diabetic
## 57 46.3 36.0 Non-Diabetic
## 58 NA 37.1 Non-Diabetic
## 59 28.1 36.9 Diabetic
## 60 NA 36.3 Non-Diabetic
## 61 28.5 36.8 Non-Diabetic
## 62 14.5 36.9 Diabetic
## 63 NA 37.4 Non-Diabetic
## 64 28.3 37.0 Non-Diabetic
## 65 34.6 36.8 Diabetic
## 66 48.7 <NA> Non-Diabetic
## 67 43.8 36.7 Non-Diabetic
## 68 33.2 37.3 Non-Diabetic
## 69 19.9 <NA> Diabetic
## 70 34.3 36.1 Non-Diabetic
## 71 41.1 36.7 Diabetic
## 72 34.9 36.9 Non-Diabetic
## 73 22.1 37.0 Non-Diabetic
## 74 36.5 37.2 Non-Diabetic
## 75 32.5 37.6 Non-Diabetic
## 76 48.6 37.1 <NA>
## 77 10.9 36.7 Tidak
## 78 28.3 36.8 Yes
## 79 19.3 <NA> Diabetic
## 80 45.1 37.0 Non-Diabetic
## 81 45.0 36.6 Non-Diabetic
## 82 43.4 <NA> Non-Diabetic
## 83 32.6 37.1 Diabetic
## 84 15.0 36.2 Non-Diabetic
## 85 14.4 36.7 Diabetic
## 86 37.9 37.2 Diabetic
## 87 37.4 36.4 Non-Diabetic
## 88 29.4 36.8 Non-Diabetic
## 89 40.6 36.9 Non-Diabetic
## 90 34.5 36.8 Non-Diabetic
## 91 36.5 37.1 Non-Diabetic
## 92 21.9 36.4 Diabetic
## 93 29.0 37.0 Diabetic
## 94 23.9 35.7 Diabetic
## 95 45.6 36.8 Non-Diabetic
## 96 22.1 37.1 Diabetic
## 97 22.2 <NA> Non-Diabetic
## 98 53.0 36.7 Non-Diabetic
## 99 35.1 36.8 Non-Diabetic
## 100 26.7 36.7 Non-Diabetic
## 101 14.2 36.9 Diabetic
## 102 36.0 36.7 Non-Diabetic
## 103 17.5 37.3 Non-Diabetic
## 104 6.7 36.6 Diabetic
## 105 32.9 36.4 Non-Diabetic
## 106 -1.0 36.9 Diabetic
## 107 NA 37.0 Tidak
## 108 36.9 37.0 Diabetic
## 109 9.0 36.8 Diabetic
## 110 17.7 36.8 Diabetic
## 111 NA 36.8 Diabetic
## 112 35.5 37.2 Non-Diabetic
## 113 22.8 37.4 Non-Diabetic
## 114 23.2 36.5 Non-Diabetic
## 115 10.0 37.2 Diabetic
## 116 24.2 36.5 Diabetic
## 117 48.4 36.2 Non-Diabetic
## 118 10.3 37.0 Diabetic
## 119 30.7 36.7 Non-Diabetic
## 120 5.0 36.6 Diabetic
## 121 46.8 36.8 Non-Diabetic
## 122 41.8 36.9 Non-Diabetic
## 123 11.7 36.8 Diabetic
## 124 19.5 36.4 Diabetic
## 125 28.5 <NA> Diabetic
## 126 26.7 36.9 Non-Diabetic
## 127 14.9 37.2 Diabetic
## 128 7.0 36.4 Diabetic
## 129 24.6 36.4 Diabetic
## 130 NA 37.1 Non-Diabetic
## 131 21.5 36.0 Diabetic
## 132 43.2 37.0 Non-Diabetic
## 133 10.2 37.3 Diabetic
## 134 53.7 36.3 Non-Diabetic
## 135 33.0 37.1 Diabetic
## 136 35.9 36.7 Non-Diabetic
## 137 40.2 36.8 Non-Diabetic
## 138 8.2 36.6 Diabetic
## 139 20.1 36.3 Diabetic
## 140 22.6 36.3 No
## 141 35.3 36.7 Non-Diabetic
## 142 22.2 36.4 <NA>
## 143 28.7 36.2 Non-Diabetic
## 144 15.6 37.2 Diabetic
## 145 21.0 37.0 Diabetic
## 146 22.9 37.1 Diabetic
## 147 8.8 <NA> Diabetic
## 148 47.3 36.2 Non-Diabetic
## 149 47.0 36.4 Non-Diabetic
## 150 9.0 36.2 Diabetic
## 151 36.5 37.1 Diabetic
## 152 20.6 36.7 <NA>
## 153 19.4 36.0 Diabetic
## 154 34.9 36.9 Non-Diabetic
## 155 6.0 37.1 Diabetic
## 156 11.9 36.9 Diabetic
## 157 33.9 36.4 Non-Diabetic
## 158 37.0 36.6 Non-Diabetic
## 159 49.7 36.7 Non-Diabetic
## 160 24.4 36.5 derajat Non-Diabetic
## 161 41.1 37.1 Non-Diabetic
## 162 20.3 36.9 Diabetic
## 163 41.8 <NA> Non-Diabetic
## 164 26.5 36.4 Diabetic
## 165 43.5 37.0 Non-Diabetic
## 166 27.7 37.0 Non-Diabetic
## 167 43.7 37.4 Non-Diabetic
## 168 21.3 37.1 <NA>
## 169 52.9 36.2 Non-Diabetic
## 170 39.0 36.6 Diabetic
## 171 10.2 36.4 Diabetic
## 172 4.7 36.7 Diabetic
## 173 1.0 36.6 Diabetic
## 174 21.9 37.2 <NA>
## 175 53.2 <NA> <NA>
## 176 49.9 37.8 Non-Diabetic
## 177 15.9 37.0 Diabetic
## 178 17.9 36.3 Diabetic
## 179 43.8 36.5 Non-Diabetic
## 180 10.4 36.7 Diabetic
## 181 29.3 36.9 Yes
## 182 27.0 37.0 Non-Diabetic
## 183 28.7 36.8 Diabetic
## 184 32.5 36.4 Non-Diabetic
## 185 30.0 37.4 Non-Diabetic
## 186 17.9 37.0 Diabetic
## 187 16.0 <NA> Non-Diabetic
## 188 31.6 37.5 Non-Diabetic
## 189 8.5 <NA> Diabetic
## 190 45.7 36.2 Non-Diabetic
## 191 10.4 37.2 Diabetic
## 192 1.0 37.2 Diabetic
## 193 41.7 <NA> Non-Diabetic
## 194 1.0 37.6 Diabetic
## 195 6.9 <NA> Diabetic
## 196 38.2 36.4 Non-Diabetic
## 197 41.4 37.2 Non-Diabetic
## 198 29.3 36.3 Diabetic
## 199 45.5 36.1 Non-Diabetic
## 200 24.1 36.8 NON-DIABETIC
## 201 42.9 37.5 Non-Diabetic
## 202 15.7 36.1 Diabetic
## 203 48.9 36.8 Non-Diabetic
## 204 NA 36.2 Non-Diabetic
## 205 34.9 36.6 Non-Diabetic
## 206 18.0 <NA> Diabetic
## 207 22.2 37.4 Diabetic
## 208 26.5 <NA> Diabetic
## 209 NA <NA> Diabetic
## 210 10.9 36.8 Diabetic
## 211 16.0 36.4 Diabetic
## 212 27.0 36.6 Diabetic
## 213 15.5 36.9 Diabetic
## 214 23.9 36.8 Non-Diabetic
## 215 8.6 37.1 <NA>
## 216 37.4 37.1 Diabetic
## 217 25.3 36.4 Diabetic
## 218 27.3 36.3 Diabetic
## 219 18.1 36.5 Diabetic
## 220 35.8 37.0 Non-Diabetic
## 221 19.2 37.1 Non-Diabetic
## 222 22.6 36.3 Diabetic
## 223 26.8 36.3 Non-Diabetic
## 224 NA 36.4 Non-Diabetic
## 225 NA 36.6 Non-Diabetic
## 226 31.9 37.1 Non-Diabetic
## 227 21.8 36.9 Diabetic
## 228 NA 42.5 Diabetic
## 229 14.6 37.0 Diabetic
## 230 43.7 37.4 <NA>
## 231 14.1 36.8 No
## 232 1.0 36.3 Diabetic
## 233 10.9 36.7 Diabetic
## 234 23.5 36.9 Diabetic
## 235 16.2 37.0 Diabetic
## 236 28.6 36.7 Diabetic
## 237 36.0 37.1 Diabetic
## 238 36.3 37.3 Diabetic
## 239 22.9 36.1 Non-Diabetic
## 240 47.4 36.4 Non-Diabetic
## 241 22.2 36.9 Diabetic
## 242 7.0 36.4 Diabetic
## 243 5.6 36.8 Diabetic
## 244 42.4 37.2 Non-Diabetic
## 245 36.2 36.5 <NA>
## 246 22.7 37.4 Diabetic
## 247 NA 37.4 Non-Diabetic
## 248 20.5 36.6 Non-Diabetic
## 249 35.2 36.7 Non-Diabetic
## 250 40.4 36.8 Non-Diabetic
## 251 41.4 37.2 Non-Diabetic
## 252 8.7 36.8 Diabetic
## 253 37.2 36.8 Non-Diabetic
## 254 10.4 35.9 Diabetic
## 255 37.2 37.6 Non-Diabetic
## 256 NA 37.3 Non-Diabetic
## 257 34.0 36.4 Normal
## 258 48.9 36.6 Non-Diabetic
## 259 NA 36.8 <NA>
## 260 49.4 37.4 Non-Diabetic
## 261 37.4 36.5 Non-Diabetic
## 262 NA <NA> Diabetic
## 263 15.7 36.9 <NA>
## 264 -32.5 37.4 Diabetic
## 265 2.0 36.7 Diabetic
## 266 27.3 37.2 Non-Diabetic
## 267 18.0 37.0 Diabetic
## 268 15.0 36.9 Diabetic
## 269 10.5 36.6 Diabetic
## 270 28.0 36.6 Non-Diabetic
## 271 10.6 36.2 Diabetic
## 272 41.8 36.4 Non-Diabetic
## 273 40.1 36.9 Non-Diabetic
## 274 54.3 36.6 Non-Diabetic
## 275 22.7 37.6 Diabetic
## 276 9.1 35.9 Diabetic
## 277 14.6 36.6 Diabetic
## 278 27.7 36.9°C Non-Diabetic
## 279 38.8 37.0 Diabetic
## 280 44.7 36.4 No
## 281 22.7 37.5 Non-Diabetic
## 282 12.7 36.6 Diabetic
## 283 77.3 36.0 Non-Diabetic
## 284 28.8 <NA> DIABETIC
## 285 46.9 37.0 Non-Diabetic
## 286 32.3 36.5 Non-Diabetic
## 287 12.4 36.4 Diabetic
## 288 21.8 36.6 <NA>
## 289 35.0 37.1 Non-Diabetic
## 290 -15.4 37.0 Diabetic
## 291 50.5 36.5 Non-Diabetic
## 292 23.8 37.6 Diabetic
## 293 25.7 36.0 Non-Diabetic
## 294 28.3 36.7 Non-Diabetic
## 295 NA 37.0 Non-Diabetic
## 296 15.9 37.2 Diabetic
## 297 10.5 37.0 <NA>
## 298 1.0 37.6 Diabetic
## 299 47.3 36.7 Non-Diabetic
## 300 7.8 36.7 Diabetic
## 301 32.1 36.8 <NA>
## 302 58.9 36.2 Non-Diabetic
## 303 NA 37.0 Non-Diabetic
## 304 18.0 36.3 Diabetic
## 305 19.3 36.8 Diabetic
## 306 27.7 37.3 Non-Diabetic
## 307 22.2 36.5 Diabetic
## 308 1.0 36.6 Diabetic
## 309 29.2 37.6 Non-Diabetic
## 310 37.0 36.6 Non-Diabetic
## 311 1.0 <NA> <NA>
## 312 27.5 36.5 Diabetic
## 313 -20.0 36.7 Non-Diabetic
## 314 29.8 36.6 Non-Diabetic
## 315 22.8 36.8 Diabetic
## 316 38.0 37.1 Non-Diabetic
## 317 23.7 36.6 Non-Diabetic
## 318 13.1 <NA> Diabetic
## 319 33.0 36.7 Diabetic
## 320 24.0 37.7 Diabetic
## 321 1.0 37.0 Diabetic
## 322 19.8 36.3 Diabetic
## 323 28.1 36.5 Tidak
## 324 43.0 36.2 Non-Diabetic
## 325 36.6 37.0 Non-Diabetic
## 326 3.3 36.9 <NA>
## 327 22.8 37.4 Non-Diabetic
## 328 41.2 36.5 <NA>
## 329 34.1 36.9 Non-Diabetic
## 330 20.6 37.3 Diabetic
## 331 16.0 36.9 Diabetic
## 332 14.0 37.0 Diabetic
## 333 30.4 36.3 Non-Diabetic
## 334 17.4 35.5 <NA>
## 335 23.5 37.0 derajat Diabetic
## 336 37.3 37.6 Non-Diabetic
## 337 55.1 <NA> Non-Diabetic
## 338 36.6 36.8 Diabetic
## 339 7.4 37.1 Diabetic
## 340 32.7 37.1 Non-Diabetic
## 341 54.3 36.7 Non-Diabetic
## 342 14.6 36.6 Diabetic
## 343 39.8 37.4 Non-Diabetic
## 344 48.5 36.3 Non-Diabetic
## 345 39.8 37.4 Non-Diabetic
## 346 60.3 37.1 Non-Diabetic
## 347 24.1 36.3 Diabetic
## 348 21.6 37.7 Diabetic
## 349 19.9 36.4 Diabetic
## 350 NA 36.6 Diabetic
## 351 40.6 36.4 Non-Diabetic
## 352 23.0 36.6 Diabetic
## 353 NA 37.2 Non-Diabetic
## 354 16.0 <NA> Diabetic
## 355 36.0 36.7 Non-Diabetic
## 356 20.2 36.8 Non-Diabetic
## 357 NA 36.0 Non-Diabetic
## 358 11.8 36.7 Diabetic
## 359 54.2 36.3 Non-Diabetic
## 360 NA 36.5 Non-Diabetic
## 361 49.9 36.1 Non-Diabetic
## 362 32.4 35.6 Non-Diabetic
## 363 42.6 36.9 Non-Diabetic
## 364 NA 36.3 Non-Diabetic
## 365 38.8 37.1 <NA>
## 366 46.1 36.8 Diabetic
## 367 40.9 36.3 Non-Diabetic
## 368 32.4 36.3 Diabetic
## 369 14.1 36.9 Diabetic
## 370 23.1 37.2 Diabetic
## 371 NA <NA> Diabetic
## 372 30.1 37.2 Diabetic
## 373 19.5 36.5 Diabetic
## 374 1.0 37.1 Diabetic
## 375 23.4 36.8 Diabetic
## 376 29.6 36.6 Non-Diabetic
## 377 12.0 36.8 Diabetic
## 378 42.9 36.8 Non-Diabetic
## 379 29.8 36.8 Non-Diabetic
## 380 43.6 37.5 Non-Diabetic
## 381 18.7 37.5 Diabetic
## 382 40.0 99.9 Non-Diabetic
## 383 NA 36.4 Non-Diabetic
## 384 21.2 36.3 <NA>
## 385 14.2 37.2 <NA>
## 386 39.9 37.0 Non-Diabetic
## 387 17.7 36.4 Non-Diabetic
## 388 37.2 <NA> Non-Diabetic
## 389 20.6 36.6 Diabetic
## 390 8.6 37.1 Diabetic
## 391 44.0 36.8 Non-Diabetic
## 392 3.9 36.4 Diabetic
## 393 31.3 37.5 Non-Diabetic
## 394 NA 37.4 Diabetic
## 395 37.2 36.1 derajat Non-Diabetic
## 396 37.8 36.9 Non-Diabetic
## 397 30.0 36.6 Non-Diabetic
## 398 38.7 36.8 Non-Diabetic
## 399 21.0 36.9 Diabetic
## 400 3.0 36.9 <NA>
## 401 20.0 36.5 Diabetic
## 402 12.3 36.1 Diabetic
## 403 22.3 35.6 DM
## 404 36.6 36.5 Non-Diabetic
## 405 28.0 36.9 Diabetic
## 406 32.0 36.0 Non-Diabetic
## 407 10.3 36.8 Diabetic
## 408 45.3 36.8 Non-Diabetic
## 409 34.3 36.6 Non-Diabetic
## 410 26.2 36.6 Non-Diabetic
## 411 25.6 <NA> Diabetic
## 412 53.2 37.2 Non-Diabetic
## 413 5000.0 36.3 Non-Diabetic
## 414 39.8 37.5 Non-Diabetic
## 415 16.4 36.8 Diabetic
## 416 48.5 37.2 Non-Diabetic
## 417 NA 36.5 <NA>
## 418 8.9 36.6 Diabetic
## 419 13.2 37.3 Diabetic
## 420 27.3 37.6 Non-Diabetic
## 421 22.2 36.1 Diabetic
## 422 43.8 36.5 Diabetic
## 423 49.4 36.9 DM
## 424 19.6 37.1 Diabetic
## 425 21.7 37.3 Non-Diabetic
## 426 32.4 <NA> Non-Diabetic
## 427 NA 37.2 Non-Diabetic
## 428 50.2 36.0 Non-Diabetic
## 429 10.2 36.9 Diabetic
## 430 34.6 36.9 Non-Diabetic
## 431 NA 37.2 Diabetic
## 432 25.4 36.8 Diabetic
## 433 42.6 35.7 Non-Diabetic
## 434 34.0 37.1 Non-Diabetic
## 435 1.0 37.1 Diabetic
## 436 23.1 37.0 Diabetic
## 437 46.8 36.7 Non-Diabetic
## 438 14.0 37.6 Diabetic
## 439 4.5 36.2 Diabetic
## 440 42.6 36.6 Non-Diabetic
## 441 57.4 36.4 Non-Diabetic
## 442 15.3 36.6 Diabetic
## 443 33.0 36.7 derajat Diabetic
## 444 20.5 <NA> Non-Diabetic
## 445 13.7 37.4 Diabetic
## 446 28.0 36.9 Non-Diabetic
## 447 26.3 37.0 DIABETIC
## 448 55.8 36.3 <NA>
## 449 19.2 37.3 Diabetic
## 450 46.5 37.0 Non-Diabetic
## 451 4.4 36.4 Diabetic
## 452 51.1 36.2 Non-Diabetic
## 453 15.2 36.7 Diabetic
## 454 51.7 36.7 Non-Diabetic
## 455 19.9 37.6 Diabetic
## 456 58.4 36.9 Non-Diabetic
## 457 44.0 36.6 Non-Diabetic
## 458 32.8 37.1 Diabetic
## 459 31.0 36.2 Non-Diabetic
## 460 1.0 37.6 <NA>
## 461 41.1 38.0 Non-Diabetic
## 462 47.0 -1.0 Non-Diabetic
## 463 57.6 36.3 Non-Diabetic
## 464 1.0 37.0 Diabetic
## 465 21.1 37.3 Diabetic
## 466 28.2 36.6 Non-Diabetic
## 467 33.9 36.6 Non-Diabetic
## 468 22.2 36.5 Diabetic
## 469 17.4 37.0 Diabetic
## 470 NA 36.7 Non-Diabetic
## 471 56.5 37.0 Non-Diabetic
## 472 52.8 36.3 Non-Diabetic
## 473 39.4 37.7 Non-Diabetic
## 474 NA 36.4 Non-Diabetic
## 475 32.7 35.9 <NA>
## 476 51.0 37.0 Non-Diabetic
## 477 26.6 37.2 Diabetic
## 478 19.9 36.3 Diabetic
## 479 29.4 37.3 Diabetic
## 480 44.9 36.3 Non-Diabetic
## 481 28.4 36.8 Non-Diabetic
## 482 30.1 36.6 Non-Diabetic
## 483 NA 36.8 Non-Diabetic
## 484 35.6 36.8 Non-Diabetic
## 485 34.3 37.1 Non-Diabetic
## 486 26.2 36.8 Diabetic
## 487 NA 36.5 Diabetic
## 488 38.8 36.7 <NA>
## 489 40.5 42.5 Non-Diabetic
## 490 7.8 36.7 Diabetic
## 491 33.8 36.8 Non-Diabetic
## 492 34.2 37.0 Non-Diabetic
## 493 32.7 36.2 Non-Diabetic
## 494 39.0 36.3 Non-Diabetic
## 495 6.3 <NA> Diabetic
## 496 24.4 36.9 diabetic
## 497 17.7 37.3 Diabetic
## 498 26.8 37.1 Diabetic
## 499 23.8 36.5 Diabetic
## 500 20.4 <NA> Diabetic
## 501 35.3 37.5 Non-Diabetic
## 502 41.6 36.3 Non-Diabetic
## 503 25.9 37.0 Diabetic
## 504 53.6 36.5 <NA>
## 505 46.4 36.8 <NA>
## 506 34.1 36.4 Non-Diabetic
## 507 50.8 36.9 Non-Diabetic
## 508 49.9 36.9 1
## 509 51.6 <NA> Non-Diabetic
## 510 19.4 37.0 Non-Diabetic
## 511 NA 37.1 Diabetic
## 512 NA 36.8 Diabetic
## 513 5.0 36.7 Diabetic
## 514 13.1 37.3 Non-Diabetic
## 515 24.8 37.0 Non-Diabetic
## 516 16.8 36.6 Diabetic
## 517 43.4 36.4 Non-Diabetic
## 518 34.5 36.9 Diabetic
## 519 25.7 36.6 Diabetic
## 520 6.5 37.1 Diabetic
## 521 26.0 37.6 Non-Diabetic
## 522 17.3 36.2 Diabetic
## 523 NA <NA> Non-Diabetic
## 524 28.0 35.7 DM
## 525 32.6 36.5 Non-Diabetic
## 526 45.4 37.0 Non-Diabetic
## 527 33.6 37.1 Non-Diabetic
## 528 10.7 36.8 Diabetic
## 529 32.4 37.1 Non-Diabetic
## 530 23.4 37.1 Diabetic
## 531 44.8 36.9 non-diabetic
## 532 51.0 36.5 Non-Diabetic
## 533 22.8 36.7 Diabetic
## 534 32.4 35.8 Diabetic
## 535 43.8 36.5 diabetic
## 536 NA 36.6 Diabetic
## 537 39.4 37.5 <NA>
## 538 32.4 36.5°C Non-Diabetic
## 539 17.4 37.2 Diabetic
## 540 38.2 36.9 Non-Diabetic
## 541 33.5 36.8 Non-Diabetic
## 542 40.5 36.6 Non-Diabetic
## 543 16.2 <NA> Diabetic
## 544 35.5 36.3 Diabetic
## 545 18.9 <NA> Non-Diabetic
## 546 31.3 36.9 Non-Diabetic
## 547 34.1 36.9 Non-Diabetic
## 548 60.9 36.2 Non-Diabetic
## 549 29.0 <NA> Non-Diabetic
## 550 51.4 36.5 Non-Diabetic
## 551 44.1 36.3 Non-Diabetic
## 552 20.6 37.3 Diabetic
## 553 NA <NA> Non-Diabetic
## 554 43.2 36.9 Non-Diabetic
## 555 37.9 37.2 Diabetic
## 556 36.9 37.0 Diabetic
## 557 31.1 36.2 <NA>
## 558 7.6 36.6 Diabetic
## 559 33.0 36.5 Non-Diabetic
## 560 NA 37.2 Diabetic
## 561 47.2 36.4 Non-Diabetic
## 562 13.5 36.5 Diabetic
## 563 1.0 37.0 Diabetic
## 564 14.3 36.4 Diabetic
## 565 28.8 35.9 Diabetic
## 566 41.3 36.6 Non-Diabetic
## 567 36.8 37.4°C Non-Diabetic
## 568 46.2 37.1 Non-Diabetic
## 569 45.4 36.9 Non-Diabetic
## 570 26.5 36.6 <NA>
## 571 12.1 36.4 Diabetic
## 572 27.0 <NA> Non-Diabetic
## 573 40.0 36.6 <NA>
## 574 45.2 <NA> Non-Diabetic
## 575 18.0 36.7 Diabetic
## 576 14.7 36.7 <NA>
## 577 NA 36.7 Non-Diabetic
## 578 45.6 37.1celcius Non-Diabetic
## 579 30.2 37.2 <NA>
## 580 45.6 <NA> Non-Diabetic
## 581 29.6 36.4 Diabetic
## 582 35.7 36.2 Non-Diabetic
## 583 21.5 36.3 Diabetic
## 584 25.8 36.7 Non-Diabetic
## 585 50.4 36.2 Non-Diabetic
## 586 34.8 37.3 Non-Diabetic
## 587 15.8 37.3 Non-Diabetic
## 588 42.5 36.6 Non-Diabetic
## 589 15.0 <NA> <NA>
## 590 24.6 36.6 Non-Diabetic
## 591 -13.9 36.8 Diabetic
## 592 26.0 37.1 <NA>
## 593 14.7 36.5 Diabetic
## 594 29.7 36.8 Non-Diabetic
## 595 45.0 36.6 Non-Diabetic
## 596 1.0 36.6 Diabetic
## 597 17.4 <NA> Diabetic
## 598 6.7 36.6 Diabetic
## 599 59.6 36.7 Non-Diabetic
## 600 18.9 36.7 Diabetic
## 601 1.0 <NA> Diabetic
## 602 13.9 <NA> Diabetic
## 603 32.1 36.8 Diabetic
## 604 35.2 37.6 Diabetic
## 605 12.8 36.8 Diabetic
## 606 NA 36.6 Non-Diabetic
## 607 NA 36.6 Diabetic
## 608 -20.0 36.9 Diabetic
## 609 32.9 <NA> Non-Diabetic
## 610 13.6 37.0 Diabetic
## 611 63.6 36.6 Non-Diabetic
## 612 27.2 36.5 Healthy
## 613 1.0 <NA> <NA>
## 614 32.7 37.2 Non-Diabetic
## 615 23.4 36.6 Diabetic
## 616 25.8 36.8 Non-Diabetic
## 617 35.9 37.3 Non-Diabetic
## 618 2.6 36.9 Diabetic
## 619 34.3 36.5°C Non-Diabetic
## 620 27.9 37.3 Diabetic
## 621 27.7 37.1 Diabetic
## 622 5.7 37.0 Diabetic
## 623 43.4 35.9 Non-Diabetic
## 624 13.2 37.0 Diabetic
## 625 1.0 37.0 Diabetic
## 626 33.0 36.2 Non-Diabetic
## 627 17.5 36.8 Diabetic
## 628 41.6 36.3 Non-Diabetic
## 629 19.5 37.3 Diabetic
## 630 49.1 37.1 <NA>
## 631 20.0 36.6 Diabetic
## 632 18.2 37.1 Diabetic
## 633 4.7 36.6 Diabetic
## 634 22.7 36.9 Diabetic
## 635 41.1 37.1 Non-Diabetic
## 636 44.2 36.4 Non-Diabetic
## 637 18.0 37.0 DIABETIC
## 638 31.0 36.8 Non-Diabetic
## 639 28.0 37.2°C Non-Diabetic
## 640 NA 38.0 Non-Diabetic
## 641 46.2 37.4 Non-Diabetic
## 642 23.5 36.5 Diabetic
## 643 27.3 36.2 Non-Diabetic
## 644 7.9 36.1 Diabetic
## 645 36.5 36.6 Non-Diabetic
## 646 13.4 36.4 Diabetic
## 647 30.1 36.8 Non-Diabetic
## 648 39.9 <NA> Non-Diabetic
## 649 44.1 37.0 Non-Diabetic
## 650 39.0 36.3 Non-Diabetic
## 651 25.7 37.0 Non-Diabetic
## 652 29.9 36.8 Non-Diabetic
## 653 20.7 37.0 Diabetic
## 654 40.2 36.8 Non-Diabetic
## 655 20.4 37.1 Non-Diabetic
## 656 25.8 36.8 Diabetic
## 657 20.1 36.6 Non-Diabetic
## 658 28.6 37.4 <NA>
## 659 26.3 37.2 Diabetic
## 660 13.4 36.6 derajat Diabetic
## 661 22.6 37.0 Diabetic
## 662 1.0 36.4 DM
## 663 8.1 36.5 1
## 664 25.0 37.0 Non-Diabetic
## 665 NA <NA> Non-Diabetic
## 666 47.1 37.0 Non-Diabetic
## 667 20.2 37.3 Diabetic
## 668 11.7 36.9 Diabetic
## 669 22.2 36.6 Diabetic
## 670 42.7 37.2 Non-Diabetic
## 671 27.2 <NA> Non-Diabetic
## 672 40.4 37.6 Non-Diabetic
## 673 47.6 37.0 Non-Diabetic
## 674 18.8 37.1 Diabetic
## 675 23.9 36.7 Diabetic
## 676 43.1 37.0 Non-Diabetic
## 677 29.8 37.1 Non-Diabetic
## 678 20.0 37.0 Diabetic
## 679 7.5 36.6 Diabetic
## 680 25.4 36.7 <NA>
## 681 11.5 36.6 Diabetic
## 682 6.5 36.9 Diabetic
## 683 57.0 36.7 <NA>
## 684 14.1 37.2 Diabetic
## 685 45.6 37.1 Non-Diabetic
## 686 31.2 36.4 Non-Diabetic
## 687 25.8 36.6 Non-Diabetic
## 688 39.2 <NA> Non-Diabetic
## 689 53.2 37.1 Non-Diabetic
## 690 28.4 36.6 Diabetic
## 691 NA 36.3 Diabetic
## 692 26.3 36.7 Non-Diabetic
## 693 38.5 36.4 Non-Diabetic
## 694 35.4 37.1 Non-Diabetic
## 695 21.2 <NA> DM
## 696 27.3 36.2 non-diabetic
## 697 18.1 36.4 Diabetic
## 698 49.3 36.7 Non-Diabetic
## 699 21.1 36.6 Diabetic
## 700 50.9 36.6 Non-Diabetic
## Peak_Plantar_Pressure_kPa
## 1 294.000
## 2 NA
## 3 431.800
## 4 577.500
## 5 502.300
## 6 201.400
## 7 512.800
## 8 327.700
## 9 NA
## 10 308.900
## 11 NA
## 12 327.800
## 13 623.000
## 14 513.700
## 15 254.200
## 16 -100.000
## 17 284.900
## 18 294.900
## 19 536.500
## 20 338.600
## 21 430.100
## 22 340.600
## 23 386.000
## 24 677.000
## 25 324.200
## 26 206.500
## 27 602.300
## 28 173.300
## 29 554.500
## 30 174.400
## 31 337.300
## 32 267.600
## 33 415.300
## 34 557.100
## 35 612.700
## 36 566.300
## 37 233.800
## 38 250.400
## 39 NA
## 40 667.400
## 41 296.600
## 42 367.600
## 43 396.200
## 44 549.700
## 45 275.700
## 46 NA
## 47 162.900
## 48 348.000
## 49 404.400
## 50 497.500
## 51 387.500
## 52 340.300
## 53 NA
## 54 495.400
## 55 373.200
## 56 606.100
## 57 309.900
## 58 351.000
## 59 481.800
## 60 253.200
## 61 410.000
## 62 476.400
## 63 354.100
## 64 320.400
## 65 518.500
## 66 352.300
## 67 203.200
## 68 208.400
## 69 538.700
## 70 206.000
## 71 491.500
## 72 358.000
## 73 233.800
## 74 456.800
## 75 218.000
## 76 254.800
## 77 437.300
## 78 229.900
## 79 NA
## 80 310.400
## 81 289.800
## 82 337.500
## 83 563.100
## 84 389.300
## 85 559.200
## 86 508.500
## 87 238.800
## 88 213.500
## 89 261.200
## 90 255.700
## 91 356.500
## 92 512.300
## 93 607.700
## 94 449.600
## 95 311.100
## 96 651.700
## 97 390.400
## 98 263.100
## 99 319.500
## 100 237.000
## 101 551.700
## 102 220.300
## 103 253.100
## 104 539.100
## 105 398.500
## 106 548.700
## 107 475.200
## 108 393.200
## 109 499.300
## 110 697.100
## 111 544.100
## 112 223.000
## 113 423.700
## 114 375.400
## 115 501.700
## 116 404.800
## 117 53.400
## 118 598.400
## 119 390.000
## 120 514.500
## 121 398.400
## 122 319.400
## 123 504.100
## 124 NA
## 125 710.600
## 126 212.500
## 127 538.600
## 128 643.900
## 129 563.000
## 130 302.300
## 131 503.800
## 132 392.100
## 133 570.900
## 134 162.900
## 135 495.600
## 136 -100.000
## 137 302.800
## 138 530.200
## 139 457.400
## 140 513.800
## 141 320.000
## 142 235.100
## 143 228.000
## 144 514.900
## 145 408.900
## 146 NA
## 147 99999.000
## 148 139.100
## 149 401.500
## 150 520.600
## 151 593.000
## 152 511.500
## 153 410.600
## 154 358.000
## 155 608.500
## 156 627.100
## 157 332.100
## 158 311.900
## 159 276.500
## 160 436.300
## 161 330.400
## 162 442.900
## 163 274.700
## 164 571.200
## 165 259.600
## 166 232.800
## 167 172.600
## 168 660.800
## 169 213.700
## 170 502.600
## 171 640.200
## 172 NA
## 173 475.600
## 174 550.800
## 175 422.500
## 176 237.500
## 177 512.600
## 178 529.100
## 179 348.400
## 180 426.100
## 181 473.100
## 182 342.300
## 183 NA
## 184 290.800
## 185 258.300
## 186 553.500
## 187 239.800
## 188 254.300
## 189 591.000
## 190 304.000
## 191 632.400
## 192 602.000
## 193 125.800
## 194 488.800
## 195 517.000
## 196 384.300
## 197 280.300
## 198 0.001
## 199 323.500
## 200 509.400
## 201 264.700
## 202 468.600
## 203 193.800
## 204 167.400
## 205 265.000
## 206 601.800
## 207 536.300
## 208 537.100
## 209 350.600
## 210 428.300
## 211 433.800
## 212 511.700
## 213 520.800
## 214 416.300
## 215 295.600
## 216 496.200
## 217 477.300
## 218 482.000
## 219 551.900
## 220 241.800
## 221 129.300
## 222 513.800
## 223 372.900
## 224 276.200
## 225 364.600
## 226 303.900
## 227 NA
## 228 474.500
## 229 506.200
## 230 354.000
## 231 553.000
## 232 336.900
## 233 437.300
## 234 609.100
## 235 571.000
## 236 561.800
## 237 480.600
## 238 NA
## 239 153.300
## 240 311.800
## 241 NA
## 242 99999.000
## 243 522.200
## 244 198.300
## 245 385.700
## 246 528.400
## 247 328.400
## 248 292.600
## 249 260.700
## 250 370.200
## 251 NA
## 252 432.100
## 253 195.200
## 254 595.600
## 255 169.100
## 256 114.100
## 257 313.900
## 258 344.600
## 259 546.300
## 260 198.800
## 261 257.500
## 262 409.900
## 263 235.100
## 264 458.200
## 265 482.900
## 266 416.800
## 267 595.300
## 268 407.900
## 269 591.900
## 270 300.000
## 271 517.500
## 272 255.200
## 273 192.700
## 274 263.700
## 275 607.600
## 276 442.500
## 277 475.800
## 278 224.000
## 279 534.400
## 280 NA
## 281 250.200
## 282 455.600
## 283 418.000
## 284 166.900
## 285 177.900
## 286 317.700
## 287 525.100
## 288 476.700
## 289 253.300
## 290 462.000
## 291 302.300
## 292 374.900
## 293 273.100
## 294 319.300
## 295 205.900
## 296 -100.000
## 297 445.800
## 298 411.700
## 299 238.100
## 300 366.500
## 301 536.200
## 302 294.800
## 303 348.300
## 304 536.000
## 305 558.100
## 306 210.700
## 307 0.001
## 308 NA
## 309 NA
## 310 202.700
## 311 503.800
## 312 532.600
## 313 281.200
## 314 350.000
## 315 397.400
## 316 216.700
## 317 290.500
## 318 502.700
## 319 479.900
## 320 NA
## 321 538.000
## 322 422.300
## 323 563.300
## 324 185.600
## 325 271.700
## 326 504.100
## 327 186.600
## 328 359.400
## 329 252.500
## 330 305.900
## 331 514.000
## 332 545.600
## 333 329.800
## 334 418.000
## 335 433.900
## 336 260.200
## 337 150.900
## 338 400.900
## 339 402.300
## 340 179.700
## 341 407.200
## 342 475.800
## 343 162.100
## 344 302.900
## 345 162.100
## 346 320.100
## 347 640.400
## 348 442.700
## 349 516.500
## 350 483.300
## 351 203.400
## 352 436.600
## 353 276.900
## 354 514.000
## 355 367.900
## 356 213.400
## 357 233.200
## 358 462.200
## 359 232.600
## 360 354.200
## 361 305.600
## 362 444.200
## 363 304.900
## 364 196.600
## 365 473.900
## 366 NA
## 367 173.300
## 368 565.100
## 369 598.300
## 370 593.500
## 371 575.000
## 372 547.400
## 373 589.700
## 374 570.800
## 375 503.200
## 376 236.900
## 377 487.500
## 378 122.000
## 379 307.300
## 380 241.500
## 381 389.600
## 382 248.300
## 383 286.900
## 384 99999.000
## 385 453.800
## 386 395.800
## 387 432.900
## 388 120.100
## 389 446.300
## 390 484.500
## 391 263.000
## 392 NA
## 393 366.400
## 394 555.800
## 395 351.400
## 396 268.500
## 397 246.900
## 398 268.000
## 399 715.400
## 400 537.400
## 401 386.200
## 402 521.600
## 403 325.700
## 404 255.400
## 405 640.700
## 406 237.900
## 407 539.800
## 408 203.700
## 409 NA
## 410 NA
## 411 292.700
## 412 245.500
## 413 NA
## 414 379.100
## 415 425.300
## 416 375.000
## 417 328.900
## 418 560.400
## 419 443.400
## 420 386.500
## 421 585.100
## 422 631.100
## 423 246.800
## 424 -100.000
## 425 342.200
## 426 349.800
## 427 NA
## 428 291.500
## 429 421.700
## 430 239.300
## 431 548.700
## 432 371.800
## 433 240.000
## 434 187.700
## 435 510.100
## 436 585.800
## 437 282.200
## 438 433.400
## 439 589.000
## 440 265.400
## 441 225.800
## 442 547.100
## 443 479.900
## 444 147.000
## 445 568.000
## 446 285.500
## 447 236.000
## 448 353.500
## 449 505.400
## 450 212.300
## 451 422.900
## 452 294.800
## 453 403.200
## 454 356.200
## 455 582.000
## 456 217.900
## 457 267.000
## 458 487.200
## 459 268.400
## 460 488.800
## 461 369.600
## 462 NA
## 463 319.700
## 464 300.500
## 465 399.400
## 466 317.000
## 467 245.400
## 468 602.400
## 469 457.300
## 470 151.100
## 471 251.300
## 472 264.500
## 473 311.500
## 474 217.200
## 475 NA
## 476 247.000
## 477 541.000
## 478 523.000
## 479 490.600
## 480 416.200
## 481 287.500
## 482 170.800
## 483 227.200
## 484 269.200
## 485 52.100
## 486 NA
## 487 NA
## 488 228.000
## 489 297.200
## 490 NA
## 491 288.900
## 492 350.100
## 493 305.700
## 494 136.600
## 495 560.200
## 496 227.000
## 497 495.900
## 498 477.500
## 499 347.400
## 500 537.800
## 501 387.200
## 502 325.800
## 503 550.300
## 504 402.600
## 505 374.300
## 506 393.600
## 507 283.700
## 508 362.200
## 509 298.500
## 510 303.900
## 511 509.800
## 512 429.000
## 513 633.500
## 514 307.000
## 515 303.800
## 516 487.300
## 517 264.800
## 518 579.700
## 519 529.000
## 520 537.000
## 521 282.800
## 522 471.400
## 523 390.500
## 524 554.200
## 525 288.500
## 526 301.300
## 527 250.200
## 528 643.600
## 529 357.800
## 530 541.100
## 531 214.000
## 532 339.600
## 533 353.100
## 534 436.200
## 535 NA
## 536 463.300
## 537 NA
## 538 299.500
## 539 473.300
## 540 416.200
## 541 328.100
## 542 212.000
## 543 583.900
## 544 444.600
## 545 262.100
## 546 265.000
## 547 NA
## 548 148.400
## 549 204.100
## 550 241.200
## 551 99999.000
## 552 487.900
## 553 364.900
## 554 293.400
## 555 508.500
## 556 393.200
## 557 273.400
## 558 NA
## 559 219.200
## 560 615.900
## 561 286.900
## 562 342.500
## 563 421.600
## 564 369.500
## 565 404.500
## 566 321.100
## 567 330.500
## 568 233.400
## 569 265.300
## 570 492.800
## 571 566.800
## 572 391.400
## 573 254.700
## 574 388.400
## 575 463.700
## 576 517.000
## 577 396.300
## 578 427.900
## 579 449.900
## 580 NA
## 581 519.100
## 582 246.300
## 583 615.500
## 584 212.000
## 585 232.000
## 586 324.600
## 587 NA
## 588 282.800
## 589 630.100
## 590 290.600
## 591 497.000
## 592 386.700
## 593 606.400
## 594 222.700
## 595 273.000
## 596 516.900
## 597 463.400
## 598 600.600
## 599 297.500
## 600 487.900
## 601 641.800
## 602 482.800
## 603 501.500
## 604 438.700
## 605 463.000
## 606 348.500
## 607 487.900
## 608 445.500
## 609 138.500
## 610 479.200
## 611 NA
## 612 362.900
## 613 610.900
## 614 166.200
## 615 462.700
## 616 218.400
## 617 157.800
## 618 675.700
## 619 286.900
## 620 707.200
## 621 609.500
## 622 550.100
## 623 267.000
## 624 526.700
## 625 530.700
## 626 285.500
## 627 346.400
## 628 325.800
## 629 434.600
## 630 337.500
## 631 467.700
## 632 475.200
## 633 525.600
## 634 578.600
## 635 313.100
## 636 268.600
## 637 595.300
## 638 421.700
## 639 262.900
## 640 379.600
## 641 324.600
## 642 502.400
## 643 224.600
## 644 471.900
## 645 152.400
## 646 576.400
## 647 262.800
## 648 NA
## 649 366.500
## 650 136.600
## 651 336.100
## 652 267.200
## 653 527.200
## 654 227.900
## 655 310.500
## 656 NA
## 657 326.600
## 658 254.200
## 659 536.100
## 660 592.300
## 661 535.800
## 662 598.900
## 663 NA
## 664 NA
## 665 238.500
## 666 314.300
## 667 458.900
## 668 523.800
## 669 498.800
## 670 273.900
## 671 305.100
## 672 NA
## 673 262.300
## 674 511.100
## 675 454.100
## 676 588.200
## 677 355.000
## 678 532.300
## 679 653.100
## 680 255.300
## 681 610.000
## 682 439.700
## 683 202.000
## 684 549.400
## 685 427.900
## 686 257.500
## 687 NA
## 688 333.700
## 689 422.500
## 690 646.100
## 691 573.400
## 692 445.400
## 693 373.800
## 694 255.800
## 695 377.200
## 696 345.400
## 697 537.000
## 698 191.500
## 699 608.200
## 700 191.800# Visualisasi tabel NA terbaru menggunakan chart
gg_miss_var(dmv)
- Menghilangkan kolom
Nama. Mengingat ini merupakan data penelitian, sebaiknya subjek dijadikan anonim.
dmv_nama <- dmv %>% select(-Nama)
dmv_nama## Tanggal_Lahir Tensi Skin_Stiffness_N_per_mm
## 1 01/04/1957 112/67 0.69
## 2 20/09/1975 140 / 91 1.50
## 3 12/04/1965 134/72 0.76
## 4 11/09/1980 120/79 1.92
## 5 22/08/1985 99/77 0.81
## 6 10/08/1962 149/65 0.61
## 7 18/01/1994 110/71 1.04
## 8 02/08/1982 108/67 2.24
## 9 06/12/1982 <NA> 0.18
## 10 26/02/1951 128/78 NA
## 11 16/02/1944 113/75 0.25
## 12 <NA> 113/68 0.87
## 13 03/10/1946 105/90 1.92
## 14 02/11/1957 128/62 1.07
## 15 18/03/1973 102/80 0.38
## 16 04/07/1964 135/64 0.42
## 17 1967 106/67 0.83
## 18 08/02/1988 121/91 0.71
## 19 02/05/1996 106/83 2.13
## 20 24/02/1988 103/83 0.23
## 21 25/08/1987 129/66 1.10
## 22 19/11/1946 93/70 0.46
## 23 07/11/1977 111/67 NA
## 24 06/03/1982 127/85 1.60
## 25 19/02/1969 121/92 0.46
## 26 05/11/1965 <NA> 0.78
## 27 07/07/1985 119/86 1.67
## 28 22/09/2001 135/78 1.26
## 29 29/12/2001 129/69 1.17
## 30 05/11/2001 118/92 0.50
## 31 30/04/1989 87/76 0.65
## 32 30/11/1944 103/76 NA
## 33 10/05/1946 105/88 NA
## 34 17/11/1942 134/73 1.17
## 35 17/09/1972 129/90 1.63
## 36 18/08/1971 115/74 1.99
## 37 19/05/1988 <NA> 0.89
## 38 01/02/1951 126/65 0.74
## 39 08/06/1951 122/77 -2.18
## 40 <NA> 129/80 1.64
## 41 12/11/1940 153/68 mmHg 0.72
## 42 03/05/1993 99/97 -1.50
## 43 16/05/1970 <NA> 1.12
## 44 26/09/1951 134/66 1.31
## 45 12/05/1992 114/60 0.65
## 46 29/07/1942 128/85 0.79
## 47 11/07/1989 101 / 96 0.47
## 48 <NA> 122/69 0.67
## 49 16/09/1967 117/83 1.76
## 50 11/01/1958 93/78 2.26
## 51 05/10/1970 132/74 1.67
## 52 03/08/1942 <NA> 0.49
## 53 16/03/1947 101/78 0.95
## 54 03/10/1989 124/93 1.65
## 55 04/03/1992 122/62 0.94
## 56 23/04/1952 132/66 2.03
## 57 27/11/2005 121/60 0.88
## 58 10/11/1959 119/83 0.94
## 59 <NA> 143/93 1.21
## 60 <NA> 106/74 0.95
## 61 1977 108/68 0.56
## 62 17/03/1966 133/85 1.68
## 63 10/01/1992 121/70 0.10
## 64 1980 121/71 1.07
## 65 20-02-2003 123/65 1.53
## 66 16/03/1995 132/76 0.84
## 67 31/10/1971 102/94 1.24
## 68 27/07/1989 111/72 0.84
## 69 29/04/1990 114/79 2.07
## 70 06/11/1991 136/75 1.13
## 71 <NA> 140/80 2.90
## 72 05/12/1964 133/85 0.41
## 73 26/01/2001 105/81 0.74
## 74 26/05/1992 115/74 NA
## 75 17/02/1954 121/55 0.97
## 76 23/12/1943 126/84 1.24
## 77 06/09/1941 131/93 1.05
## 78 20/11/1952 150 0.36
## 79 08/05/1959 117/83 1.76
## 80 17/05/1973 112/86 NA
## 81 30/10/1983 125/77 0.41
## 82 01/12/1991 136/69 0.33
## 83 22/04/1999 <NA> 1.78
## 84 07/06/1982 110/70 0.64
## 85 01/10/1985 117/75 1.80
## 86 27/07/1978 96/81 1.05
## 87 01/10/1989 113/49 NA
## 88 22/04/1962 108/71 0.51
## 89 <NA> 98/82 0.55
## 90 21/06/1978 123/94 0.66
## 91 29/10/1995 120/72 0.80
## 92 19/11/1990 128/69 1.67
## 93 11/10/1994 128/95 1.78
## 94 27/04/1984 125/86 1.05
## 95 19/09/1974 128/91 1.11
## 96 21/06/1981 158 / 62 1.99
## 97 23/03/1955 115/84 1.01
## 98 02/09/1976 85/84 0.13
## 99 18/04/1954 132/73 1.05
## 100 24/08/1968 125/47 0.41
## 101 24/03/1962 134/101 1.25
## 102 13/11/1962 117/80 0.54
## 103 16/08/1975 <NA> 1.04
## 104 26/03/1988 139/94 1.89
## 105 05/08/1993 109/77 1.53
## 106 01/01/1995 114/81 1.18
## 107 04/03/1946 119/93 1.17
## 108 15/01/1967 96/73 1.43
## 109 04/05/1963 122/74 1.81
## 110 29/04/1999 128/81 0.83
## 111 28/03/1940 121/73 -1.50
## 112 <NA> 111/83 0.63
## 113 06/02/2000 109/82 0.83
## 114 29/04/1951 97/77 0.31
## 115 09/12/1960 128/74 1.47
## 116 28/03/1953 143/77 0.85
## 117 08/06/1969 98/62 0.52
## 118 09/05/1963 143/68 1.46
## 119 05/07/1967 127/96 0.76
## 120 29/09/1978 117/78 1.29
## 121 17/11/1976 108/65 1.42
## 122 12/11/1953 117/82 0.30
## 123 <NA> 122/78 2.07
## 124 14/04/1949 134/92 1.75
## 125 24/11/1996 102 / 71 NA
## 126 06/03/1970 136/85 0.39
## 127 26/03/1995 127/111 1.75
## 128 03/02/1992 <NA> 1.72
## 129 31/05/2005 152/86 1.12
## 130 17/06/1989 <NA> 1.13
## 131 17/11/1952 142/90 1.05
## 132 14/11/1957 119/67 0.42
## 133 <NA> 123/82 1.00
## 134 20/08/1979 123/82 0.56
## 135 23/07/1985 113/69 NA
## 136 13/04/1967 100/77 0.74
## 137 11/11/1944 143-71 1.17
## 138 29/05/1992 140/76 NA
## 139 07/04/1979 116/80 1.94
## 140 09/09/1956 121/78 1.98
## 141 29/06/1941 109/82 1.22
## 142 April 10, 1989 108/76 0.73
## 143 06/01/1985 131/86 0.10
## 144 05/03/1952 <NA> 1.56
## 145 04/06/1961 118/96 1.73
## 146 20/05/1953 132/83 1.74
## 147 22/03/1949 118/79 1.06
## 148 28/01/1979 143/72 0.84
## 149 <NA> 112/61 0.76
## 150 24/04/1947 141/105 1.68
## 151 30/07/1982 101/88 2.08
## 152 18/09/1948 135/68 2.08
## 153 11/04/1981 128/79 2.08
## 154 05/12/1964 133/85 0.41
## 155 13/03/1970 117/80 1.16
## 156 16/06/1961 105/84 1.66
## 157 17/06/1999 <NA> 0.39
## 158 02/09/1998 86/92 0.83
## 159 24/10/1972 123/62 1.17
## 160 <NA> 126/63 mmHg 0.10
## 161 14/09/1980 123/69 1.11
## 162 18/12/1996 128/85 1.33
## 163 01/02/1992 <NA> 0.53
## 164 20/03/1980 132/92 NA
## 165 09/03/2005 <NA> 0.94
## 166 25/06/1965 116/78 1.24
## 167 14-12-1963 131/60 1.39
## 168 13/04/1954 115/78 1.71
## 169 06/11/1953 120/78 0.66
## 170 03/09/1948 129/93 1.36
## 171 <NA> 119/78 1.04
## 172 1945 149/83 1.24
## 173 23/09/1953 118/83 1.45
## 174 23-08-1998 125/75 1.88
## 175 07/02/1945 135/64 1.42
## 176 26/11/1957 110/78 0.74
## 177 15/02/1990 119/83 -1.21
## 178 25/04/1992 123/97 1.02
## 179 21/01/1947 133/81 0.70
## 180 09/11/1951 130/81 1.61
## 181 07/04/2005 118/92 1.15
## 182 19/01/1999 130/69 -0.53
## 183 17/03/1954 142/89 1.74
## 184 <NA> 107/78 0.10
## 185 19/07/1941 114/79 1.12
## 186 27/06/1962 134/70 1.52
## 187 22/09/1949 109/94 0.17
## 188 09/09/1999 131/70 0.70
## 189 26/01/1998 106/71 2.27
## 190 13/08/1946 <NA> 0.83
## 191 22/10/1996 130/84 1.52
## 192 24/12/1952 115/80 1.36
## 193 12/08/1944 145/84 0.94
## 194 09/11/1998 138/85 2.00
## 195 08/05/1972 110/81 1.28
## 196 06/01/1973 105/84 0.84
## 197 11/09/1943 116/72 0.73
## 198 07/06/1982 130/72 1.25
## 199 <NA> 125/66 0.79
## 200 02/21/1995 <NA> 1.90
## 201 <NA> 124/76 0.49
## 202 06/06/1995 138/96 1.36
## 203 11/06/1992 103mmHg/81 0.56
## 204 <NA> 121/70 0.56
## 205 12/04/1970 118/62 0.32
## 206 <NA> 113/98 1.50
## 207 22/11/1999 124/85 1.73
## 208 25/05/1998 119/85 2.22
## 209 12/05/1990 <NA> 1.41
## 210 12/09/1957 131/86 1.32
## 211 17/09/1982 136/94 1.56
## 212 <NA> <NA> 0.97
## 213 24/11/2005 151 / 80 2.16
## 214 12/01/1968 <NA> 0.73
## 215 28/08/1979 115/87 0.99
## 216 11/07/1947 132/76 1.80
## 217 27/03/1986 122/85 1.88
## 218 21/06/1998 139/67 0.58
## 219 20/10/1955 142/75 1.55
## 220 29/04/1997 119/68 1.15
## 221 21/01/1993 <NA> 0.14
## 222 09/09/1956 121/78 1.98
## 223 12/11/1957 135/58 0.61
## 224 07/03/1951 94/83 1.06
## 225 19/04/1980 116/72 0.16
## 226 03/02/1973 128/71 1.61
## 227 22/10/1990 117/95 1.45
## 228 <NA> 157/67 0.86
## 229 20/01/2003 135/80 1.39
## 230 02/06/1951 <NA> 0.52
## 231 05-05-1994 127/75 1.63
## 232 04/10/1959 110/88 2.02
## 233 06/09/1941 131/93 1.05
## 234 04/04/2002 101/86 1.59
## 235 23/04/1991 154/113 1.84
## 236 11/04/1994 125/110 0.93
## 237 February 16, 1961 104/80 1.80
## 238 19/12/1967 111/86 1.07
## 239 29/11/1992 146/75 0.47
## 240 19/08/1955 143/86 0.83
## 241 08/09/1961 104/87 2.35
## 242 03/02/1992 139/84 1.72
## 243 15/04/2004 121/61 1.85
## 244 26/11/1997 92/90 NA
## 245 21/08/1978 <NA> 1.05
## 246 04/12/1954 <NA> 1.22
## 247 20/04/1959 106/78 0.57
## 248 29/07/1990 111/69 0.29
## 249 13/08/2001 115/60 0.55
## 250 29/11/1958 123/75 0.54
## 251 16/06/1941 128/81 0.69
## 252 06/06/1973 <NA> 1.43
## 253 30/11/1957 111/73 0.71
## 254 19/04/2003 123/69 1.69
## 255 18/07/1985 94/67 0.72
## 256 13/05/1968 <NA> 0.10
## 257 17/05/1972 108/86 0.62
## 258 20/09/1979 129/82 0.38
## 259 29/10/1941 116/85 1.01
## 260 16/03/1947 101/78 0.95
## 261 13/12/1946 129/78 0.79
## 262 20/03/1971 <NA> 1.56
## 263 02/07/1990 119/71 0.10
## 264 05/11/1958 159/78 1.42
## 265 14/04/1986 147/88 1.23
## 266 18/09/1995 129/59 0.33
## 267 02/24/2002 119/83 1.66
## 268 05/07/1980 125/87 0.59
## 269 31/05/1959 122/113 1.72
## 270 26/07/1949 127/60 1.17
## 271 02/12/1972 144/67 1.83
## 272 11/02/1980 103/72 1.25
## 273 06/07/1977 125/75 NA
## 274 12/07/1940 143/70 0.98
## 275 <NA> 132/84 NA
## 276 14/05/1953 149/90 1.49
## 277 23/05/1988 121/96 1.66
## 278 07/05/1950 111/77 NA
## 279 07/03/1977 119/78 1.47
## 280 22/09/1940 124/92 0.75
## 281 11/11/1987 135/68 1.37
## 282 19/11/1955 129/106 1.34
## 283 22/09/1952 129/78 0.95
## 284 <NA> 126/76 0.97
## 285 10/04/1980 125/75 1.66
## 286 03/02/1956 108/87 1.32
## 287 04/12/1988 128/62 0.91
## 288 28/05/1948 116/83 1.14
## 289 11/02/1984 114/91 0.97
## 290 13/12/1975 118/84 1.71
## 291 19/10/1981 107/84 0.63
## 292 15/09/1955 118/88 1.64
## 293 04/10/1956 91/80 0.10
## 294 14/06/2001 94/74 0.56
## 295 08/12/1942 124/82 1.57
## 296 26/08/1981 113/82 1.87
## 297 24/06/1994 144/97 1.61
## 298 19/07/2002 119/73 1.18
## 299 17/11/1981 122/56 0.30
## 300 12/01/1992 125/83 1.85
## 301 07 Nov 2004 155/71 1.61
## 302 25/03/1996 113/77 0.42
## 303 18/06/1961 133/100 NA
## 304 10/11/2000 <NA> NA
## 305 23/02/1946 129/70 2.58
## 306 24/11/1984 109/76 0.81
## 307 08/09/1959 143/69 2.27
## 308 15/08/1969 <NA> 1.42
## 309 16/12/2002 136/92 0.98
## 310 14/08/1984 97/65 0.10
## 311 03/07/1981 115/87 1.29
## 312 16/12/1963 124/78 2.05
## 313 02/01/1980 113/89 0.69
## 314 20/07/1985 108/72 0.21
## 315 23/02/1944 117/85 1.58
## 316 11/12/1949 105/68 1.57
## 317 <NA> 114/63 1.40
## 318 21/10/1965 <NA> 1.74
## 319 28/08/1991 139/74 1.03
## 320 06/12/1950 143/78 2.03
## 321 <NA> 143/73 2.28
## 322 10/09/1954 155/83 1.45
## 323 27/08/1987 146/75 0.85
## 324 30/12/1963 94/89 NA
## 325 17/05/1965 121/77 1.09
## 326 <NA> 126/97 1.10
## 327 16/09/1949 151/74 0.87
## 328 02/06/1981 131/73 0.86
## 329 01/01/1969 134/76 0.87
## 330 15/04/1977 118/81 1.76
## 331 17/11/1997 139/84 0.99
## 332 19/03/1970 132/96 2.51
## 333 07/11/1967 116/71 0.83
## 334 27/03/1974 131/89 1.23
## 335 23/10/1988 136/77 1.76
## 336 27/04/1966 110/78 0.58
## 337 06/04/1950 <NA> 0.68
## 338 28/04/1947 97/71 NA
## 339 03/05/1985 115/100 1.59
## 340 29/10/1961 119/81 0.12
## 341 20/06/1969 102/88 0.36
## 342 23/05/1988 121/96 1.66
## 343 13/01/1998 103/74 0.10
## 344 12/01/1987 111/83 0.19
## 345 13/01/1998 154mmHg/89 0.10
## 346 20/10/1968 100/77 1.44
## 347 25/09/1988 114/67 0.98
## 348 17/05/1945 112/76 1.41
## 349 <NA> 113/83 1.78
## 350 24/04/2000 <NA> 2.12
## 351 <NA> 112/62 0.58
## 352 07/01/2000 124/91 1.21
## 353 04/03/1959 121/86 1.42
## 354 17/11/1997 139/84 0.99
## 355 11/01/1956 137/70 0.97
## 356 19/12/1950 123/65 0.71
## 357 08/03/1956 126/88 0.50
## 358 03/08/1969 97/76 1.28
## 359 02 Feb 1967 92/67 1.14
## 360 <NA> 137/81 0.93
## 361 27/11/1962 136/65 1.02
## 362 05/03/1991 110/63 0.70
## 363 29/10/1992 111/71 NA
## 364 08/03/1948 117/80 1.10
## 365 31/12/1973 <NA> 1.72
## 366 17/08/1997 138/77 1.88
## 367 22/09/2001 135/78 1.26
## 368 23/01/1961 124/75 1.40
## 369 13/12/1998 142/81 1.15
## 370 14/02/1942 133/93 1.93
## 371 15/04/1991 105/83 2.00
## 372 <NA> 148/102 2.42
## 373 05/02/1957 114/77 1.39
## 374 02/09/1964 <NA> 1.75
## 375 12/03/1959 126/77 1.65
## 376 22/12/1972 121/65 0.51
## 377 27/07/1983 133/79 1.75
## 378 26/10/1977 118/81 0.72
## 379 01/06/1997 114/68 0.39
## 380 24/09/1951 <NA> 0.77
## 381 03/07/2003 120/89 2.20
## 382 01/02/1968 144/67 0.53
## 383 16/12/1950 78/76 0.88
## 384 10/11/1982 131/81 1.24
## 385 04/07/1998 115/82 1.26
## 386 03/03/1971 123/76 0.89
## 387 24/01/1992 129/75 0.58
## 388 08/11/1975 128/76 1.04
## 389 30/03/1986 115/85 NA
## 390 16/07/1950 100/74 1.29
## 391 13/10/1959 101/100 1.36
## 392 14/09/1989 117/88 1.61
## 393 02/01/2005 119/61 1.12
## 394 01/05/1941 126/96 1.76
## 395 21/08/1952 139/72 1.33
## 396 30/10/1963 156/76 0.76
## 397 28/05/1957 128/64 0.71
## 398 07/12/1970 100/84 0.72
## 399 19/05/1945 133/64 1.46
## 400 25/11/1947 118/80 NA
## 401 02/09/1978 123/72 0.96
## 402 18/12/1985 143/79 1.74
## 403 21/04/1958 82/71 1.19
## 404 24/03/1941 115/68 0.48
## 405 02/12/1969 164/70 2.19
## 406 02/06/1994 150/67 0.41
## 407 10/03/1999 128/82 1.64
## 408 02/03/2001 88/84 0.27
## 409 12/12/1982 130/81 0.65
## 410 10/07/1966 112/74 0.59
## 411 13/10/1942 107/63 1.82
## 412 16/07/1956 142/72 1.24
## 413 23/01/1994 117/77 0.48
## 414 14/04/2003 138/62 0.10
## 415 29/04/1951 126/72 2.08
## 416 03/01/1990 154/75 0.83
## 417 28/04/1954 123/58 NA
## 418 11/02/1988 129/81 1.50
## 419 15/11/1977 156/92 0.99
## 420 31/05/1953 105/69 0.42
## 421 06/09/1972 115/81 1.77
## 422 25/08/1991 116/68 1.56
## 423 30 Jan 1980 121/83 0.16
## 424 13/10/1964 125/81 1.47
## 425 21/05/1999 119/46 0.68
## 426 11/05/2005 102/83 0.85
## 427 20/10/1998 118/64 0.89
## 428 07/03/1979 115/79 0.73
## 429 10/05/1950 125/85 1.38
## 430 08/09/1980 117/79 1.48
## 431 26/02/1970 123/72 1.31
## 432 05/08/1955 149/95 2.26
## 433 19/07/1940 84/54 0.51
## 434 09/12/1975 109/85 1.43
## 435 18/10/1973 127/81 1.77
## 436 12/02/1993 125/84 2.21
## 437 30/09/1967 117/64 1.35
## 438 22/03/1956 121/102 1.33
## 439 19/07/1979 98/86 1.19
## 440 09/08/1999 110 0.70
## 441 <NA> 131/62 0.80
## 442 15/08/1996 91/97 NA
## 443 28/08/1991 139/74 1.03
## 444 18/06/1962 115/84 1.07
## 445 03/11/1994 139/77 0.98
## 446 20/01/1963 116/61 0.38
## 447 19/08/1984 <NA> 0.33
## 448 20/03/1947 132/80 0.49
## 449 01/05/1970 129/74 2.22
## 450 31/05/1957 111/88 0.78
## 451 17/04/1952 129/76 1.94
## 452 15/02/2000 130/63 0.84
## 453 31/01/1955 131/63 1.14
## 454 14/04/1947 108/57 0.95
## 455 06 May 1947 94/78 1.98
## 456 10/12/1952 132/82 0.10
## 457 17/07/1999 104/82 0.62
## 458 25/11/1990 114/79 1.72
## 459 20/12/1944 100/86 0.98
## 460 08/29/1959 138/85 2.00
## 461 17/06/1948 142/73 0.98
## 462 21/01/2003 101/46 0.92
## 463 05/12/1975 80/73 1.19
## 464 11/10/1944 113/86 2.11
## 465 <NA> 119/74 1.75
## 466 02/11/1966 92/69 1.23
## 467 24/12/1975 135/78 0.89
## 468 01/02/1979 97/89 1.56
## 469 24/03/1948 117/68 1.73
## 470 06/03/1950 132/75 1.49
## 471 19/05/1967 110/86 1.02
## 472 29/07/1942 128/85 NA
## 473 22/10/1954 101/72 1.24
## 474 16/05/1951 145/73 0.41
## 475 10/02/1997 128/80 0.95
## 476 05/12/1963 122/67 0.82
## 477 22/04/1979 110/68 1.35
## 478 14/09/1941 120/95 1.73
## 479 15/01/1984 127/95 1.20
## 480 09-01-1941 Sys:131 Dia:65 0.84
## 481 07/11/1999 128/78 NA
## 482 <NA> 102/77 0.36
## 483 23/08/1960 <NA> 0.95
## 484 21/07/2001 129/82 0.34
## 485 26/01/1961 117/87 0.97
## 486 09/11/1970 124/97 0.55
## 487 06/01/1999 108/88 1.76
## 488 28/05/1946 141|87 0.70
## 489 02/12/1990 115/75 0.79
## 490 28/08/1970 146/100 0.93
## 491 03/02/1988 106/86 0.21
## 492 22/05/1994 116/84 0.70
## 493 13/04/1976 122/72 0.71
## 494 13 Jan 2001 103/80 0.41
## 495 17/12/1965 122/85 1.59
## 496 09/02/1948 94/80 1.56
## 497 05/04/1976 134/78 1.75
## 498 18/11/1959 124/74 0.63
## 499 06/10/1953 127/90 1.88
## 500 31/03/1942 135/96 NA
## 501 22/05/1970 107/77 0.53
## 502 17/06/1970 142/86 0.46
## 503 31/07/1987 109/69 2.06
## 504 22/04/1953 120/76 0.61
## 505 22/05/1990 122/57 0.10
## 506 24/03/1960 130/76 1.21
## 507 15/01/1965 123/72 0.76
## 508 28/04/1960 125/68 1.62
## 509 27/01/1996 117/78 0.63
## 510 14/07/1953 124/68 0.84
## 511 21/05/1982 130/107 0.86
## 512 17/05/1969 128/92 1.27
## 513 10/05/1947 137/82 1.08
## 514 21/08/1993 108/73 1.32
## 515 28/04/2001 121/83 0.26
## 516 26/10/1967 94/83 1.92
## 517 10/11/1944 119/67 NA
## 518 22/10/1952 119/74 1.73
## 519 28/06/1955 <NA> 1.62
## 520 18/08/1979 108/71 1.87
## 521 17/05/1988 116/65 0.53
## 522 24/07/1984 135/90 1.48
## 523 <NA> 116/84 0.58
## 524 06/12/1958 139/87 1.68
## 525 04/04/2000 109/70 0.74
## 526 13/03/1991 126/69 0.66
## 527 12/04/1988 116/80 0.40
## 528 22/06/1943 122/74 1.05
## 529 15/12/1943 <NA> 1.03
## 530 09/08/1944 129/94 2.12
## 531 15/01/2001 121/72 0.99
## 532 26/09/2004 115/82 NA
## 533 06/04/1996 115/82 1.61
## 534 16/03/1961 137/70 1.81
## 535 25/08/1991 122-71 1.56
## 536 14/05/1991 138/82 1.76
## 537 27/09/1965 132/76 1.59
## 538 13/01/1950 105/72 0.92
## 539 01/04/1941 102/87 1.83
## 540 23/05/1985 110/81 NA
## 541 28/10/1969 127/88 0.69
## 542 31/03/1945 127/98 0.82
## 543 26/07/1965 129/69 1.97
## 544 26/07/1976 114|71 1.04
## 545 13/07/1954 127/69 1.42
## 546 20/09/1967 117/66 0.38
## 547 01/01/1969 134/76 0.87
## 548 07/10/1986 132/72 0.10
## 549 05/04/1993 120/81 0.28
## 550 09/05/1985 147/76 1.15
## 551 23/08/1990 116/71 0.37
## 552 15/03/1992 134/73 2.59
## 553 30/07/1969 123/66 0.84
## 554 21/06/1982 112/62 0.46
## 555 27/07/1978 <NA> NA
## 556 15/01/1967 96/73 1.43
## 557 05/12/1942 108/75 0.58
## 558 03/07/1997 121/63 1.42
## 559 14/06/1979 Sys:90 Dia:76 1.15
## 560 23/06/1966 122/76 1.66
## 561 16/12/1950 78/76 0.88
## 562 10/01/1972 116/85 2.10
## 563 24/02/2000 116/80 1.63
## 564 18/09/1953 137/78 0.44
## 565 12/09/1941 137/98 150.00
## 566 14/03/1951 105/70 1.12
## 567 24/04/1956 107/57 0.72
## 568 12/11/1993 114/73 0.87
## 569 17/04/1949 122/58 0.21
## 570 03/05/1977 141/80 0.73
## 571 31/10/1967 141/86 1.60
## 572 17/05/1964 92/75 0.35
## 573 23/01/1980 132/88 0.79
## 574 06/01/1987 114/67 1.10
## 575 09/09/1981 136/76 1.27
## 576 31/01/1978 128/79 1.60
## 577 18/08/1976 106/62 0.87
## 578 13/02/1954 109/79 0.46
## 579 26/08/1990 130/85 1.58
## 580 21/02/1940 146/66 0.42
## 581 25/11/1948 123/80 1.63
## 582 28/06/1995 122/78 0.75
## 583 23/09/1991 124/84 1.50
## 584 22/11/1978 137/82 0.69
## 585 21/04/1998 92/89 0.70
## 586 22/02/2002 99/69 0.60
## 587 03/04/1975 121/56 0.61
## 588 <NA> 89/72 0.83
## 589 01/12/1998 148/79 1.50
## 590 27/04/1987 120/86 0.82
## 591 06/05/1971 96/95 1.63
## 592 20/09/1975 113/79 2.24
## 593 15/02/1946 139/87 1.16
## 594 17/07/2000 106/69 NA
## 595 28/06/1989 116/70 0.56
## 596 17/05/1959 124/82 1.94
## 597 <NA> 105/79 1.28
## 598 31/08/1977 102/89 1.43
## 599 13/09/1985 97/83 1.01
## 600 15/06/1972 132/88 1.82
## 601 26/08/1961 132/76 1.13
## 602 15/07/1960 140/93 NA
## 603 06/08/1967 127/86 1.16
## 604 1988 104/88 1.36
## 605 26/03/1943 125/82 1.98
## 606 08/01/1964 125/75 0.41
## 607 29/05/1970 130/79 2.30
## 608 10/09/1978 <NA> 1.58
## 609 23/12/1980 133/103 0.91
## 610 18/11/1986 129/83 1.88
## 611 09/01/1962 95/88 0.53
## 612 05/03/1976 117/74 1.24
## 613 05/09/1944 114/69 1.99
## 614 18/11/2001 135/80 0.67
## 615 08/07/1952 148/89 1.41
## 616 27/12/1974 109/65 0.49
## 617 <NA> 125/71 0.16
## 618 13/01/1966 116/88 1.61
## 619 18/05/1989 124/82 0.82
## 620 31/01/1944 109/86 1.53
## 621 10/09/1989 155/99 NA
## 622 14/03/1985 131/68 1.94
## 623 07/05/1974 90/67 0.72
## 624 19/02/1968 127-62 1.63
## 625 29/08/1978 122/77 1.62
## 626 04/09/1980 <NA> 0.79
## 627 12/03/1984 116/90 1.45
## 628 17/06/1970 142/86 -0.46
## 629 13/06/1969 145/88 1.53
## 630 02/07/1979 <NA> 0.28
## 631 03/09/1985 127/83 1.33
## 632 10/10/1966 137/90 2.12
## 633 13/07/1953 <NA> 1.64
## 634 19/08/1989 <NA> 2.01
## 635 22/07/1958 105/97 0.27
## 636 07/06/1986 118/76 0.57
## 637 12/02/1960 119/83 1.66
## 638 12/04/1948 156/75 1.21
## 639 25/03/1990 133|78 1.37
## 640 26/06/2002 113/69 0.32
## 641 27/12/1958 <NA> 0.74
## 642 13/06/1973 142/83 1.63
## 643 03 Jan 1947 127/75 1.49
## 644 17/10/1963 143/77 0.78
## 645 28/11/1940 120/58 0.88
## 646 16/12/1953 148/91 1.95
## 647 11/01/1986 107/74 0.57
## 648 <NA> 150/82 0.10
## 649 22/08/1979 120/62 0.90
## 650 08/03/1947 114mmHg/67 0.41
## 651 15/09/1979 114/85 1.23
## 652 12/07/1942 149/91 1.02
## 653 28/03/1960 107|60 2.01
## 654 31/10/1975 107/82 0.46
## 655 <NA> 121/102 0.98
## 656 12/12/1992 86/80 2.57
## 657 29/04/1966 <NA> 0.10
## 658 24/11/1946 109/74 1.42
## 659 04/06/1981 <NA> 1.29
## 660 15/08/1984 118/87 2.08
## 661 25/12/1943 123/93 1.74
## 662 24/09/1972 115/97 1.39
## 663 18/04/1993 145/88 1.71
## 664 1985 127/87 0.82
## 665 19/06/2005 119/56 0.66
## 666 22/11/1994 109/52 0.59
## 667 28/12/1964 116/90 1.16
## 668 <NA> 110/85 1.20
## 669 23/07/1986 124/84 1.28
## 670 15/11/1987 105/63 0.66
## 671 13/02/2004 122/90 1.10
## 672 <NA> 88/83 NA
## 673 07/11/1976 100/47 0.43
## 674 03/12/1946 141/76 1.27
## 675 28/12/1980 131/82 1.87
## 676 02/09/1997 97/66 0.96
## 677 27/02/1960 89/78 NA
## 678 15/05/1981 138/77 0.56
## 679 24/07/1949 141/71 1.85
## 680 15/07/1972 99/76 0.47
## 681 04/09/1988 98/94 1.24
## 682 <NA> 134/70 2.25
## 683 07/04/1962 124/73 1.02
## 684 26/06/1962 117/73 1.88
## 685 13/02/1954 109/79 0.46
## 686 06/02/1976 121/55 0.65
## 687 13/11/1968 96/53 0.53
## 688 24/09/1980 122/89 0.10
## 689 07/02/1945 135/64 1.42
## 690 02/10/2002 147/79 1.33
## 691 16/04/1996 117/75 2.31
## 692 19/07/1973 103/92 NA
## 693 26/07/1947 135/90 0.65
## 694 18/09/1997 123/60 0.79
## 695 <NA> 120/89 1.73
## 696 07/11/1976 133/75 1.02
## 697 28/08/2004 146/67 2.07
## 698 29/04/1958 114/82 1.49
## 699 04/06/2001 111/73 1.54
## 700 06/03/2001 <NA> 1.56
## Microcirculation_PU Suhu_Tubuh_Celcius Penyakit
## 1 42.0 37.6 Non-Diabetic
## 2 41.9 36.5°C Non-Diabetic
## 3 26.3 37.5 Non-Diabetic
## 4 NA 37.0 Diabetic
## 5 25.5 36.0 Diabetic
## 6 42.2 36.8 Non-Diabetic
## 7 2.0 36.3 Diabetic
## 8 9.5 36.4 Diabetic
## 9 24.8 36.9 Non-Diabetic
## 10 40.9 36.6 Non-Diabetic
## 11 44.0 37.2celcius Non-Diabetic
## 12 23.1 36.4 Diabetic
## 13 6.5 37.1 Diabetic
## 14 20.0 37.1 Diabetic
## 15 53.5 36.5 <NA>
## 16 31.9 36.6 Non-Diabetic
## 17 49.5 36.4 Non-Diabetic
## 18 40.8 37.0 Non-Diabetic
## 19 21.1 36.6 Diabetic
## 20 22.0 36.5 Non-Diabetic
## 21 51.6 37.0 <NA>
## 22 45.2 36.4 Non-Diabetic
## 23 15.7 36.8 Diabetic
## 24 1.0 36.9 Diabetic
## 25 56.2 37.1 Sehat
## 26 25.1 36.5 Non-Diabetic
## 27 22.3 36.9 C Diabetic
## 28 NA 36.3 Non-Diabetic
## 29 28.5 36.8 <NA>
## 30 39.9 36.5 Non-Diabetic
## 31 21.3 37.0 Non-Diabetic
## 32 25.6 36.9 Non-Diabetic
## 33 8.6 36.6 Diabetic
## 34 22.8 36.7 Diabetic
## 35 NA 36.6 Diabetic
## 36 4.3 37.4 Diabetic
## 37 56.8 37.2 Sakit
## 38 36.3 36.9 Non-Diabetic
## 39 NA 37.2 Diabetic
## 40 NA 36.5 Diabetic
## 41 21.4 37.0 Non-Diabetic
## 42 13.7 36.4 Diabetic
## 43 35.8 37.2 Non-Diabetic
## 44 -20.0 36.8 Diabetic
## 45 35.3 35.7 Non-Diabetic
## 46 52.8 36.3 Non-Diabetic
## 47 34.7 36.6 Non-Diabetic
## 48 NA 36.6 Non-Diabetic
## 49 -19.3 36.8 Diabetic
## 50 21.6 36.5 Diabetic
## 51 10.4 36.6 Diabetic
## 52 42.3 37.1 Non-Diabetic
## 53 49.4 37.4 Non-Diabetic
## 54 19.5 36.7 Diabetic
## 55 37.6 36.2 Non-Diabetic
## 56 13.3 36.8 Diabetic
## 57 46.3 36.0 Non-Diabetic
## 58 NA 37.1 Non-Diabetic
## 59 28.1 36.9 Diabetic
## 60 NA 36.3 Non-Diabetic
## 61 28.5 36.8 Non-Diabetic
## 62 14.5 36.9 Diabetic
## 63 NA 37.4 Non-Diabetic
## 64 28.3 37.0 Non-Diabetic
## 65 34.6 36.8 Diabetic
## 66 48.7 <NA> Non-Diabetic
## 67 43.8 36.7 Non-Diabetic
## 68 33.2 37.3 Non-Diabetic
## 69 19.9 <NA> Diabetic
## 70 34.3 36.1 Non-Diabetic
## 71 41.1 36.7 Diabetic
## 72 34.9 36.9 Non-Diabetic
## 73 22.1 37.0 Non-Diabetic
## 74 36.5 37.2 Non-Diabetic
## 75 32.5 37.6 Non-Diabetic
## 76 48.6 37.1 <NA>
## 77 10.9 36.7 Tidak
## 78 28.3 36.8 Yes
## 79 19.3 <NA> Diabetic
## 80 45.1 37.0 Non-Diabetic
## 81 45.0 36.6 Non-Diabetic
## 82 43.4 <NA> Non-Diabetic
## 83 32.6 37.1 Diabetic
## 84 15.0 36.2 Non-Diabetic
## 85 14.4 36.7 Diabetic
## 86 37.9 37.2 Diabetic
## 87 37.4 36.4 Non-Diabetic
## 88 29.4 36.8 Non-Diabetic
## 89 40.6 36.9 Non-Diabetic
## 90 34.5 36.8 Non-Diabetic
## 91 36.5 37.1 Non-Diabetic
## 92 21.9 36.4 Diabetic
## 93 29.0 37.0 Diabetic
## 94 23.9 35.7 Diabetic
## 95 45.6 36.8 Non-Diabetic
## 96 22.1 37.1 Diabetic
## 97 22.2 <NA> Non-Diabetic
## 98 53.0 36.7 Non-Diabetic
## 99 35.1 36.8 Non-Diabetic
## 100 26.7 36.7 Non-Diabetic
## 101 14.2 36.9 Diabetic
## 102 36.0 36.7 Non-Diabetic
## 103 17.5 37.3 Non-Diabetic
## 104 6.7 36.6 Diabetic
## 105 32.9 36.4 Non-Diabetic
## 106 -1.0 36.9 Diabetic
## 107 NA 37.0 Tidak
## 108 36.9 37.0 Diabetic
## 109 9.0 36.8 Diabetic
## 110 17.7 36.8 Diabetic
## 111 NA 36.8 Diabetic
## 112 35.5 37.2 Non-Diabetic
## 113 22.8 37.4 Non-Diabetic
## 114 23.2 36.5 Non-Diabetic
## 115 10.0 37.2 Diabetic
## 116 24.2 36.5 Diabetic
## 117 48.4 36.2 Non-Diabetic
## 118 10.3 37.0 Diabetic
## 119 30.7 36.7 Non-Diabetic
## 120 5.0 36.6 Diabetic
## 121 46.8 36.8 Non-Diabetic
## 122 41.8 36.9 Non-Diabetic
## 123 11.7 36.8 Diabetic
## 124 19.5 36.4 Diabetic
## 125 28.5 <NA> Diabetic
## 126 26.7 36.9 Non-Diabetic
## 127 14.9 37.2 Diabetic
## 128 7.0 36.4 Diabetic
## 129 24.6 36.4 Diabetic
## 130 NA 37.1 Non-Diabetic
## 131 21.5 36.0 Diabetic
## 132 43.2 37.0 Non-Diabetic
## 133 10.2 37.3 Diabetic
## 134 53.7 36.3 Non-Diabetic
## 135 33.0 37.1 Diabetic
## 136 35.9 36.7 Non-Diabetic
## 137 40.2 36.8 Non-Diabetic
## 138 8.2 36.6 Diabetic
## 139 20.1 36.3 Diabetic
## 140 22.6 36.3 No
## 141 35.3 36.7 Non-Diabetic
## 142 22.2 36.4 <NA>
## 143 28.7 36.2 Non-Diabetic
## 144 15.6 37.2 Diabetic
## 145 21.0 37.0 Diabetic
## 146 22.9 37.1 Diabetic
## 147 8.8 <NA> Diabetic
## 148 47.3 36.2 Non-Diabetic
## 149 47.0 36.4 Non-Diabetic
## 150 9.0 36.2 Diabetic
## 151 36.5 37.1 Diabetic
## 152 20.6 36.7 <NA>
## 153 19.4 36.0 Diabetic
## 154 34.9 36.9 Non-Diabetic
## 155 6.0 37.1 Diabetic
## 156 11.9 36.9 Diabetic
## 157 33.9 36.4 Non-Diabetic
## 158 37.0 36.6 Non-Diabetic
## 159 49.7 36.7 Non-Diabetic
## 160 24.4 36.5 derajat Non-Diabetic
## 161 41.1 37.1 Non-Diabetic
## 162 20.3 36.9 Diabetic
## 163 41.8 <NA> Non-Diabetic
## 164 26.5 36.4 Diabetic
## 165 43.5 37.0 Non-Diabetic
## 166 27.7 37.0 Non-Diabetic
## 167 43.7 37.4 Non-Diabetic
## 168 21.3 37.1 <NA>
## 169 52.9 36.2 Non-Diabetic
## 170 39.0 36.6 Diabetic
## 171 10.2 36.4 Diabetic
## 172 4.7 36.7 Diabetic
## 173 1.0 36.6 Diabetic
## 174 21.9 37.2 <NA>
## 175 53.2 <NA> <NA>
## 176 49.9 37.8 Non-Diabetic
## 177 15.9 37.0 Diabetic
## 178 17.9 36.3 Diabetic
## 179 43.8 36.5 Non-Diabetic
## 180 10.4 36.7 Diabetic
## 181 29.3 36.9 Yes
## 182 27.0 37.0 Non-Diabetic
## 183 28.7 36.8 Diabetic
## 184 32.5 36.4 Non-Diabetic
## 185 30.0 37.4 Non-Diabetic
## 186 17.9 37.0 Diabetic
## 187 16.0 <NA> Non-Diabetic
## 188 31.6 37.5 Non-Diabetic
## 189 8.5 <NA> Diabetic
## 190 45.7 36.2 Non-Diabetic
## 191 10.4 37.2 Diabetic
## 192 1.0 37.2 Diabetic
## 193 41.7 <NA> Non-Diabetic
## 194 1.0 37.6 Diabetic
## 195 6.9 <NA> Diabetic
## 196 38.2 36.4 Non-Diabetic
## 197 41.4 37.2 Non-Diabetic
## 198 29.3 36.3 Diabetic
## 199 45.5 36.1 Non-Diabetic
## 200 24.1 36.8 NON-DIABETIC
## 201 42.9 37.5 Non-Diabetic
## 202 15.7 36.1 Diabetic
## 203 48.9 36.8 Non-Diabetic
## 204 NA 36.2 Non-Diabetic
## 205 34.9 36.6 Non-Diabetic
## 206 18.0 <NA> Diabetic
## 207 22.2 37.4 Diabetic
## 208 26.5 <NA> Diabetic
## 209 NA <NA> Diabetic
## 210 10.9 36.8 Diabetic
## 211 16.0 36.4 Diabetic
## 212 27.0 36.6 Diabetic
## 213 15.5 36.9 Diabetic
## 214 23.9 36.8 Non-Diabetic
## 215 8.6 37.1 <NA>
## 216 37.4 37.1 Diabetic
## 217 25.3 36.4 Diabetic
## 218 27.3 36.3 Diabetic
## 219 18.1 36.5 Diabetic
## 220 35.8 37.0 Non-Diabetic
## 221 19.2 37.1 Non-Diabetic
## 222 22.6 36.3 Diabetic
## 223 26.8 36.3 Non-Diabetic
## 224 NA 36.4 Non-Diabetic
## 225 NA 36.6 Non-Diabetic
## 226 31.9 37.1 Non-Diabetic
## 227 21.8 36.9 Diabetic
## 228 NA 42.5 Diabetic
## 229 14.6 37.0 Diabetic
## 230 43.7 37.4 <NA>
## 231 14.1 36.8 No
## 232 1.0 36.3 Diabetic
## 233 10.9 36.7 Diabetic
## 234 23.5 36.9 Diabetic
## 235 16.2 37.0 Diabetic
## 236 28.6 36.7 Diabetic
## 237 36.0 37.1 Diabetic
## 238 36.3 37.3 Diabetic
## 239 22.9 36.1 Non-Diabetic
## 240 47.4 36.4 Non-Diabetic
## 241 22.2 36.9 Diabetic
## 242 7.0 36.4 Diabetic
## 243 5.6 36.8 Diabetic
## 244 42.4 37.2 Non-Diabetic
## 245 36.2 36.5 <NA>
## 246 22.7 37.4 Diabetic
## 247 NA 37.4 Non-Diabetic
## 248 20.5 36.6 Non-Diabetic
## 249 35.2 36.7 Non-Diabetic
## 250 40.4 36.8 Non-Diabetic
## 251 41.4 37.2 Non-Diabetic
## 252 8.7 36.8 Diabetic
## 253 37.2 36.8 Non-Diabetic
## 254 10.4 35.9 Diabetic
## 255 37.2 37.6 Non-Diabetic
## 256 NA 37.3 Non-Diabetic
## 257 34.0 36.4 Normal
## 258 48.9 36.6 Non-Diabetic
## 259 NA 36.8 <NA>
## 260 49.4 37.4 Non-Diabetic
## 261 37.4 36.5 Non-Diabetic
## 262 NA <NA> Diabetic
## 263 15.7 36.9 <NA>
## 264 -32.5 37.4 Diabetic
## 265 2.0 36.7 Diabetic
## 266 27.3 37.2 Non-Diabetic
## 267 18.0 37.0 Diabetic
## 268 15.0 36.9 Diabetic
## 269 10.5 36.6 Diabetic
## 270 28.0 36.6 Non-Diabetic
## 271 10.6 36.2 Diabetic
## 272 41.8 36.4 Non-Diabetic
## 273 40.1 36.9 Non-Diabetic
## 274 54.3 36.6 Non-Diabetic
## 275 22.7 37.6 Diabetic
## 276 9.1 35.9 Diabetic
## 277 14.6 36.6 Diabetic
## 278 27.7 36.9°C Non-Diabetic
## 279 38.8 37.0 Diabetic
## 280 44.7 36.4 No
## 281 22.7 37.5 Non-Diabetic
## 282 12.7 36.6 Diabetic
## 283 77.3 36.0 Non-Diabetic
## 284 28.8 <NA> DIABETIC
## 285 46.9 37.0 Non-Diabetic
## 286 32.3 36.5 Non-Diabetic
## 287 12.4 36.4 Diabetic
## 288 21.8 36.6 <NA>
## 289 35.0 37.1 Non-Diabetic
## 290 -15.4 37.0 Diabetic
## 291 50.5 36.5 Non-Diabetic
## 292 23.8 37.6 Diabetic
## 293 25.7 36.0 Non-Diabetic
## 294 28.3 36.7 Non-Diabetic
## 295 NA 37.0 Non-Diabetic
## 296 15.9 37.2 Diabetic
## 297 10.5 37.0 <NA>
## 298 1.0 37.6 Diabetic
## 299 47.3 36.7 Non-Diabetic
## 300 7.8 36.7 Diabetic
## 301 32.1 36.8 <NA>
## 302 58.9 36.2 Non-Diabetic
## 303 NA 37.0 Non-Diabetic
## 304 18.0 36.3 Diabetic
## 305 19.3 36.8 Diabetic
## 306 27.7 37.3 Non-Diabetic
## 307 22.2 36.5 Diabetic
## 308 1.0 36.6 Diabetic
## 309 29.2 37.6 Non-Diabetic
## 310 37.0 36.6 Non-Diabetic
## 311 1.0 <NA> <NA>
## 312 27.5 36.5 Diabetic
## 313 -20.0 36.7 Non-Diabetic
## 314 29.8 36.6 Non-Diabetic
## 315 22.8 36.8 Diabetic
## 316 38.0 37.1 Non-Diabetic
## 317 23.7 36.6 Non-Diabetic
## 318 13.1 <NA> Diabetic
## 319 33.0 36.7 Diabetic
## 320 24.0 37.7 Diabetic
## 321 1.0 37.0 Diabetic
## 322 19.8 36.3 Diabetic
## 323 28.1 36.5 Tidak
## 324 43.0 36.2 Non-Diabetic
## 325 36.6 37.0 Non-Diabetic
## 326 3.3 36.9 <NA>
## 327 22.8 37.4 Non-Diabetic
## 328 41.2 36.5 <NA>
## 329 34.1 36.9 Non-Diabetic
## 330 20.6 37.3 Diabetic
## 331 16.0 36.9 Diabetic
## 332 14.0 37.0 Diabetic
## 333 30.4 36.3 Non-Diabetic
## 334 17.4 35.5 <NA>
## 335 23.5 37.0 derajat Diabetic
## 336 37.3 37.6 Non-Diabetic
## 337 55.1 <NA> Non-Diabetic
## 338 36.6 36.8 Diabetic
## 339 7.4 37.1 Diabetic
## 340 32.7 37.1 Non-Diabetic
## 341 54.3 36.7 Non-Diabetic
## 342 14.6 36.6 Diabetic
## 343 39.8 37.4 Non-Diabetic
## 344 48.5 36.3 Non-Diabetic
## 345 39.8 37.4 Non-Diabetic
## 346 60.3 37.1 Non-Diabetic
## 347 24.1 36.3 Diabetic
## 348 21.6 37.7 Diabetic
## 349 19.9 36.4 Diabetic
## 350 NA 36.6 Diabetic
## 351 40.6 36.4 Non-Diabetic
## 352 23.0 36.6 Diabetic
## 353 NA 37.2 Non-Diabetic
## 354 16.0 <NA> Diabetic
## 355 36.0 36.7 Non-Diabetic
## 356 20.2 36.8 Non-Diabetic
## 357 NA 36.0 Non-Diabetic
## 358 11.8 36.7 Diabetic
## 359 54.2 36.3 Non-Diabetic
## 360 NA 36.5 Non-Diabetic
## 361 49.9 36.1 Non-Diabetic
## 362 32.4 35.6 Non-Diabetic
## 363 42.6 36.9 Non-Diabetic
## 364 NA 36.3 Non-Diabetic
## 365 38.8 37.1 <NA>
## 366 46.1 36.8 Diabetic
## 367 40.9 36.3 Non-Diabetic
## 368 32.4 36.3 Diabetic
## 369 14.1 36.9 Diabetic
## 370 23.1 37.2 Diabetic
## 371 NA <NA> Diabetic
## 372 30.1 37.2 Diabetic
## 373 19.5 36.5 Diabetic
## 374 1.0 37.1 Diabetic
## 375 23.4 36.8 Diabetic
## 376 29.6 36.6 Non-Diabetic
## 377 12.0 36.8 Diabetic
## 378 42.9 36.8 Non-Diabetic
## 379 29.8 36.8 Non-Diabetic
## 380 43.6 37.5 Non-Diabetic
## 381 18.7 37.5 Diabetic
## 382 40.0 99.9 Non-Diabetic
## 383 NA 36.4 Non-Diabetic
## 384 21.2 36.3 <NA>
## 385 14.2 37.2 <NA>
## 386 39.9 37.0 Non-Diabetic
## 387 17.7 36.4 Non-Diabetic
## 388 37.2 <NA> Non-Diabetic
## 389 20.6 36.6 Diabetic
## 390 8.6 37.1 Diabetic
## 391 44.0 36.8 Non-Diabetic
## 392 3.9 36.4 Diabetic
## 393 31.3 37.5 Non-Diabetic
## 394 NA 37.4 Diabetic
## 395 37.2 36.1 derajat Non-Diabetic
## 396 37.8 36.9 Non-Diabetic
## 397 30.0 36.6 Non-Diabetic
## 398 38.7 36.8 Non-Diabetic
## 399 21.0 36.9 Diabetic
## 400 3.0 36.9 <NA>
## 401 20.0 36.5 Diabetic
## 402 12.3 36.1 Diabetic
## 403 22.3 35.6 DM
## 404 36.6 36.5 Non-Diabetic
## 405 28.0 36.9 Diabetic
## 406 32.0 36.0 Non-Diabetic
## 407 10.3 36.8 Diabetic
## 408 45.3 36.8 Non-Diabetic
## 409 34.3 36.6 Non-Diabetic
## 410 26.2 36.6 Non-Diabetic
## 411 25.6 <NA> Diabetic
## 412 53.2 37.2 Non-Diabetic
## 413 5000.0 36.3 Non-Diabetic
## 414 39.8 37.5 Non-Diabetic
## 415 16.4 36.8 Diabetic
## 416 48.5 37.2 Non-Diabetic
## 417 NA 36.5 <NA>
## 418 8.9 36.6 Diabetic
## 419 13.2 37.3 Diabetic
## 420 27.3 37.6 Non-Diabetic
## 421 22.2 36.1 Diabetic
## 422 43.8 36.5 Diabetic
## 423 49.4 36.9 DM
## 424 19.6 37.1 Diabetic
## 425 21.7 37.3 Non-Diabetic
## 426 32.4 <NA> Non-Diabetic
## 427 NA 37.2 Non-Diabetic
## 428 50.2 36.0 Non-Diabetic
## 429 10.2 36.9 Diabetic
## 430 34.6 36.9 Non-Diabetic
## 431 NA 37.2 Diabetic
## 432 25.4 36.8 Diabetic
## 433 42.6 35.7 Non-Diabetic
## 434 34.0 37.1 Non-Diabetic
## 435 1.0 37.1 Diabetic
## 436 23.1 37.0 Diabetic
## 437 46.8 36.7 Non-Diabetic
## 438 14.0 37.6 Diabetic
## 439 4.5 36.2 Diabetic
## 440 42.6 36.6 Non-Diabetic
## 441 57.4 36.4 Non-Diabetic
## 442 15.3 36.6 Diabetic
## 443 33.0 36.7 derajat Diabetic
## 444 20.5 <NA> Non-Diabetic
## 445 13.7 37.4 Diabetic
## 446 28.0 36.9 Non-Diabetic
## 447 26.3 37.0 DIABETIC
## 448 55.8 36.3 <NA>
## 449 19.2 37.3 Diabetic
## 450 46.5 37.0 Non-Diabetic
## 451 4.4 36.4 Diabetic
## 452 51.1 36.2 Non-Diabetic
## 453 15.2 36.7 Diabetic
## 454 51.7 36.7 Non-Diabetic
## 455 19.9 37.6 Diabetic
## 456 58.4 36.9 Non-Diabetic
## 457 44.0 36.6 Non-Diabetic
## 458 32.8 37.1 Diabetic
## 459 31.0 36.2 Non-Diabetic
## 460 1.0 37.6 <NA>
## 461 41.1 38.0 Non-Diabetic
## 462 47.0 -1.0 Non-Diabetic
## 463 57.6 36.3 Non-Diabetic
## 464 1.0 37.0 Diabetic
## 465 21.1 37.3 Diabetic
## 466 28.2 36.6 Non-Diabetic
## 467 33.9 36.6 Non-Diabetic
## 468 22.2 36.5 Diabetic
## 469 17.4 37.0 Diabetic
## 470 NA 36.7 Non-Diabetic
## 471 56.5 37.0 Non-Diabetic
## 472 52.8 36.3 Non-Diabetic
## 473 39.4 37.7 Non-Diabetic
## 474 NA 36.4 Non-Diabetic
## 475 32.7 35.9 <NA>
## 476 51.0 37.0 Non-Diabetic
## 477 26.6 37.2 Diabetic
## 478 19.9 36.3 Diabetic
## 479 29.4 37.3 Diabetic
## 480 44.9 36.3 Non-Diabetic
## 481 28.4 36.8 Non-Diabetic
## 482 30.1 36.6 Non-Diabetic
## 483 NA 36.8 Non-Diabetic
## 484 35.6 36.8 Non-Diabetic
## 485 34.3 37.1 Non-Diabetic
## 486 26.2 36.8 Diabetic
## 487 NA 36.5 Diabetic
## 488 38.8 36.7 <NA>
## 489 40.5 42.5 Non-Diabetic
## 490 7.8 36.7 Diabetic
## 491 33.8 36.8 Non-Diabetic
## 492 34.2 37.0 Non-Diabetic
## 493 32.7 36.2 Non-Diabetic
## 494 39.0 36.3 Non-Diabetic
## 495 6.3 <NA> Diabetic
## 496 24.4 36.9 diabetic
## 497 17.7 37.3 Diabetic
## 498 26.8 37.1 Diabetic
## 499 23.8 36.5 Diabetic
## 500 20.4 <NA> Diabetic
## 501 35.3 37.5 Non-Diabetic
## 502 41.6 36.3 Non-Diabetic
## 503 25.9 37.0 Diabetic
## 504 53.6 36.5 <NA>
## 505 46.4 36.8 <NA>
## 506 34.1 36.4 Non-Diabetic
## 507 50.8 36.9 Non-Diabetic
## 508 49.9 36.9 1
## 509 51.6 <NA> Non-Diabetic
## 510 19.4 37.0 Non-Diabetic
## 511 NA 37.1 Diabetic
## 512 NA 36.8 Diabetic
## 513 5.0 36.7 Diabetic
## 514 13.1 37.3 Non-Diabetic
## 515 24.8 37.0 Non-Diabetic
## 516 16.8 36.6 Diabetic
## 517 43.4 36.4 Non-Diabetic
## 518 34.5 36.9 Diabetic
## 519 25.7 36.6 Diabetic
## 520 6.5 37.1 Diabetic
## 521 26.0 37.6 Non-Diabetic
## 522 17.3 36.2 Diabetic
## 523 NA <NA> Non-Diabetic
## 524 28.0 35.7 DM
## 525 32.6 36.5 Non-Diabetic
## 526 45.4 37.0 Non-Diabetic
## 527 33.6 37.1 Non-Diabetic
## 528 10.7 36.8 Diabetic
## 529 32.4 37.1 Non-Diabetic
## 530 23.4 37.1 Diabetic
## 531 44.8 36.9 non-diabetic
## 532 51.0 36.5 Non-Diabetic
## 533 22.8 36.7 Diabetic
## 534 32.4 35.8 Diabetic
## 535 43.8 36.5 diabetic
## 536 NA 36.6 Diabetic
## 537 39.4 37.5 <NA>
## 538 32.4 36.5°C Non-Diabetic
## 539 17.4 37.2 Diabetic
## 540 38.2 36.9 Non-Diabetic
## 541 33.5 36.8 Non-Diabetic
## 542 40.5 36.6 Non-Diabetic
## 543 16.2 <NA> Diabetic
## 544 35.5 36.3 Diabetic
## 545 18.9 <NA> Non-Diabetic
## 546 31.3 36.9 Non-Diabetic
## 547 34.1 36.9 Non-Diabetic
## 548 60.9 36.2 Non-Diabetic
## 549 29.0 <NA> Non-Diabetic
## 550 51.4 36.5 Non-Diabetic
## 551 44.1 36.3 Non-Diabetic
## 552 20.6 37.3 Diabetic
## 553 NA <NA> Non-Diabetic
## 554 43.2 36.9 Non-Diabetic
## 555 37.9 37.2 Diabetic
## 556 36.9 37.0 Diabetic
## 557 31.1 36.2 <NA>
## 558 7.6 36.6 Diabetic
## 559 33.0 36.5 Non-Diabetic
## 560 NA 37.2 Diabetic
## 561 47.2 36.4 Non-Diabetic
## 562 13.5 36.5 Diabetic
## 563 1.0 37.0 Diabetic
## 564 14.3 36.4 Diabetic
## 565 28.8 35.9 Diabetic
## 566 41.3 36.6 Non-Diabetic
## 567 36.8 37.4°C Non-Diabetic
## 568 46.2 37.1 Non-Diabetic
## 569 45.4 36.9 Non-Diabetic
## 570 26.5 36.6 <NA>
## 571 12.1 36.4 Diabetic
## 572 27.0 <NA> Non-Diabetic
## 573 40.0 36.6 <NA>
## 574 45.2 <NA> Non-Diabetic
## 575 18.0 36.7 Diabetic
## 576 14.7 36.7 <NA>
## 577 NA 36.7 Non-Diabetic
## 578 45.6 37.1celcius Non-Diabetic
## 579 30.2 37.2 <NA>
## 580 45.6 <NA> Non-Diabetic
## 581 29.6 36.4 Diabetic
## 582 35.7 36.2 Non-Diabetic
## 583 21.5 36.3 Diabetic
## 584 25.8 36.7 Non-Diabetic
## 585 50.4 36.2 Non-Diabetic
## 586 34.8 37.3 Non-Diabetic
## 587 15.8 37.3 Non-Diabetic
## 588 42.5 36.6 Non-Diabetic
## 589 15.0 <NA> <NA>
## 590 24.6 36.6 Non-Diabetic
## 591 -13.9 36.8 Diabetic
## 592 26.0 37.1 <NA>
## 593 14.7 36.5 Diabetic
## 594 29.7 36.8 Non-Diabetic
## 595 45.0 36.6 Non-Diabetic
## 596 1.0 36.6 Diabetic
## 597 17.4 <NA> Diabetic
## 598 6.7 36.6 Diabetic
## 599 59.6 36.7 Non-Diabetic
## 600 18.9 36.7 Diabetic
## 601 1.0 <NA> Diabetic
## 602 13.9 <NA> Diabetic
## 603 32.1 36.8 Diabetic
## 604 35.2 37.6 Diabetic
## 605 12.8 36.8 Diabetic
## 606 NA 36.6 Non-Diabetic
## 607 NA 36.6 Diabetic
## 608 -20.0 36.9 Diabetic
## 609 32.9 <NA> Non-Diabetic
## 610 13.6 37.0 Diabetic
## 611 63.6 36.6 Non-Diabetic
## 612 27.2 36.5 Healthy
## 613 1.0 <NA> <NA>
## 614 32.7 37.2 Non-Diabetic
## 615 23.4 36.6 Diabetic
## 616 25.8 36.8 Non-Diabetic
## 617 35.9 37.3 Non-Diabetic
## 618 2.6 36.9 Diabetic
## 619 34.3 36.5°C Non-Diabetic
## 620 27.9 37.3 Diabetic
## 621 27.7 37.1 Diabetic
## 622 5.7 37.0 Diabetic
## 623 43.4 35.9 Non-Diabetic
## 624 13.2 37.0 Diabetic
## 625 1.0 37.0 Diabetic
## 626 33.0 36.2 Non-Diabetic
## 627 17.5 36.8 Diabetic
## 628 41.6 36.3 Non-Diabetic
## 629 19.5 37.3 Diabetic
## 630 49.1 37.1 <NA>
## 631 20.0 36.6 Diabetic
## 632 18.2 37.1 Diabetic
## 633 4.7 36.6 Diabetic
## 634 22.7 36.9 Diabetic
## 635 41.1 37.1 Non-Diabetic
## 636 44.2 36.4 Non-Diabetic
## 637 18.0 37.0 DIABETIC
## 638 31.0 36.8 Non-Diabetic
## 639 28.0 37.2°C Non-Diabetic
## 640 NA 38.0 Non-Diabetic
## 641 46.2 37.4 Non-Diabetic
## 642 23.5 36.5 Diabetic
## 643 27.3 36.2 Non-Diabetic
## 644 7.9 36.1 Diabetic
## 645 36.5 36.6 Non-Diabetic
## 646 13.4 36.4 Diabetic
## 647 30.1 36.8 Non-Diabetic
## 648 39.9 <NA> Non-Diabetic
## 649 44.1 37.0 Non-Diabetic
## 650 39.0 36.3 Non-Diabetic
## 651 25.7 37.0 Non-Diabetic
## 652 29.9 36.8 Non-Diabetic
## 653 20.7 37.0 Diabetic
## 654 40.2 36.8 Non-Diabetic
## 655 20.4 37.1 Non-Diabetic
## 656 25.8 36.8 Diabetic
## 657 20.1 36.6 Non-Diabetic
## 658 28.6 37.4 <NA>
## 659 26.3 37.2 Diabetic
## 660 13.4 36.6 derajat Diabetic
## 661 22.6 37.0 Diabetic
## 662 1.0 36.4 DM
## 663 8.1 36.5 1
## 664 25.0 37.0 Non-Diabetic
## 665 NA <NA> Non-Diabetic
## 666 47.1 37.0 Non-Diabetic
## 667 20.2 37.3 Diabetic
## 668 11.7 36.9 Diabetic
## 669 22.2 36.6 Diabetic
## 670 42.7 37.2 Non-Diabetic
## 671 27.2 <NA> Non-Diabetic
## 672 40.4 37.6 Non-Diabetic
## 673 47.6 37.0 Non-Diabetic
## 674 18.8 37.1 Diabetic
## 675 23.9 36.7 Diabetic
## 676 43.1 37.0 Non-Diabetic
## 677 29.8 37.1 Non-Diabetic
## 678 20.0 37.0 Diabetic
## 679 7.5 36.6 Diabetic
## 680 25.4 36.7 <NA>
## 681 11.5 36.6 Diabetic
## 682 6.5 36.9 Diabetic
## 683 57.0 36.7 <NA>
## 684 14.1 37.2 Diabetic
## 685 45.6 37.1 Non-Diabetic
## 686 31.2 36.4 Non-Diabetic
## 687 25.8 36.6 Non-Diabetic
## 688 39.2 <NA> Non-Diabetic
## 689 53.2 37.1 Non-Diabetic
## 690 28.4 36.6 Diabetic
## 691 NA 36.3 Diabetic
## 692 26.3 36.7 Non-Diabetic
## 693 38.5 36.4 Non-Diabetic
## 694 35.4 37.1 Non-Diabetic
## 695 21.2 <NA> DM
## 696 27.3 36.2 non-diabetic
## 697 18.1 36.4 Diabetic
## 698 49.3 36.7 Non-Diabetic
## 699 21.1 36.6 Diabetic
## 700 50.9 36.6 Non-Diabetic
## Peak_Plantar_Pressure_kPa
## 1 294.000
## 2 NA
## 3 431.800
## 4 577.500
## 5 502.300
## 6 201.400
## 7 512.800
## 8 327.700
## 9 NA
## 10 308.900
## 11 NA
## 12 327.800
## 13 623.000
## 14 513.700
## 15 254.200
## 16 -100.000
## 17 284.900
## 18 294.900
## 19 536.500
## 20 338.600
## 21 430.100
## 22 340.600
## 23 386.000
## 24 677.000
## 25 324.200
## 26 206.500
## 27 602.300
## 28 173.300
## 29 554.500
## 30 174.400
## 31 337.300
## 32 267.600
## 33 415.300
## 34 557.100
## 35 612.700
## 36 566.300
## 37 233.800
## 38 250.400
## 39 NA
## 40 667.400
## 41 296.600
## 42 367.600
## 43 396.200
## 44 549.700
## 45 275.700
## 46 NA
## 47 162.900
## 48 348.000
## 49 404.400
## 50 497.500
## 51 387.500
## 52 340.300
## 53 NA
## 54 495.400
## 55 373.200
## 56 606.100
## 57 309.900
## 58 351.000
## 59 481.800
## 60 253.200
## 61 410.000
## 62 476.400
## 63 354.100
## 64 320.400
## 65 518.500
## 66 352.300
## 67 203.200
## 68 208.400
## 69 538.700
## 70 206.000
## 71 491.500
## 72 358.000
## 73 233.800
## 74 456.800
## 75 218.000
## 76 254.800
## 77 437.300
## 78 229.900
## 79 NA
## 80 310.400
## 81 289.800
## 82 337.500
## 83 563.100
## 84 389.300
## 85 559.200
## 86 508.500
## 87 238.800
## 88 213.500
## 89 261.200
## 90 255.700
## 91 356.500
## 92 512.300
## 93 607.700
## 94 449.600
## 95 311.100
## 96 651.700
## 97 390.400
## 98 263.100
## 99 319.500
## 100 237.000
## 101 551.700
## 102 220.300
## 103 253.100
## 104 539.100
## 105 398.500
## 106 548.700
## 107 475.200
## 108 393.200
## 109 499.300
## 110 697.100
## 111 544.100
## 112 223.000
## 113 423.700
## 114 375.400
## 115 501.700
## 116 404.800
## 117 53.400
## 118 598.400
## 119 390.000
## 120 514.500
## 121 398.400
## 122 319.400
## 123 504.100
## 124 NA
## 125 710.600
## 126 212.500
## 127 538.600
## 128 643.900
## 129 563.000
## 130 302.300
## 131 503.800
## 132 392.100
## 133 570.900
## 134 162.900
## 135 495.600
## 136 -100.000
## 137 302.800
## 138 530.200
## 139 457.400
## 140 513.800
## 141 320.000
## 142 235.100
## 143 228.000
## 144 514.900
## 145 408.900
## 146 NA
## 147 99999.000
## 148 139.100
## 149 401.500
## 150 520.600
## 151 593.000
## 152 511.500
## 153 410.600
## 154 358.000
## 155 608.500
## 156 627.100
## 157 332.100
## 158 311.900
## 159 276.500
## 160 436.300
## 161 330.400
## 162 442.900
## 163 274.700
## 164 571.200
## 165 259.600
## 166 232.800
## 167 172.600
## 168 660.800
## 169 213.700
## 170 502.600
## 171 640.200
## 172 NA
## 173 475.600
## 174 550.800
## 175 422.500
## 176 237.500
## 177 512.600
## 178 529.100
## 179 348.400
## 180 426.100
## 181 473.100
## 182 342.300
## 183 NA
## 184 290.800
## 185 258.300
## 186 553.500
## 187 239.800
## 188 254.300
## 189 591.000
## 190 304.000
## 191 632.400
## 192 602.000
## 193 125.800
## 194 488.800
## 195 517.000
## 196 384.300
## 197 280.300
## 198 0.001
## 199 323.500
## 200 509.400
## 201 264.700
## 202 468.600
## 203 193.800
## 204 167.400
## 205 265.000
## 206 601.800
## 207 536.300
## 208 537.100
## 209 350.600
## 210 428.300
## 211 433.800
## 212 511.700
## 213 520.800
## 214 416.300
## 215 295.600
## 216 496.200
## 217 477.300
## 218 482.000
## 219 551.900
## 220 241.800
## 221 129.300
## 222 513.800
## 223 372.900
## 224 276.200
## 225 364.600
## 226 303.900
## 227 NA
## 228 474.500
## 229 506.200
## 230 354.000
## 231 553.000
## 232 336.900
## 233 437.300
## 234 609.100
## 235 571.000
## 236 561.800
## 237 480.600
## 238 NA
## 239 153.300
## 240 311.800
## 241 NA
## 242 99999.000
## 243 522.200
## 244 198.300
## 245 385.700
## 246 528.400
## 247 328.400
## 248 292.600
## 249 260.700
## 250 370.200
## 251 NA
## 252 432.100
## 253 195.200
## 254 595.600
## 255 169.100
## 256 114.100
## 257 313.900
## 258 344.600
## 259 546.300
## 260 198.800
## 261 257.500
## 262 409.900
## 263 235.100
## 264 458.200
## 265 482.900
## 266 416.800
## 267 595.300
## 268 407.900
## 269 591.900
## 270 300.000
## 271 517.500
## 272 255.200
## 273 192.700
## 274 263.700
## 275 607.600
## 276 442.500
## 277 475.800
## 278 224.000
## 279 534.400
## 280 NA
## 281 250.200
## 282 455.600
## 283 418.000
## 284 166.900
## 285 177.900
## 286 317.700
## 287 525.100
## 288 476.700
## 289 253.300
## 290 462.000
## 291 302.300
## 292 374.900
## 293 273.100
## 294 319.300
## 295 205.900
## 296 -100.000
## 297 445.800
## 298 411.700
## 299 238.100
## 300 366.500
## 301 536.200
## 302 294.800
## 303 348.300
## 304 536.000
## 305 558.100
## 306 210.700
## 307 0.001
## 308 NA
## 309 NA
## 310 202.700
## 311 503.800
## 312 532.600
## 313 281.200
## 314 350.000
## 315 397.400
## 316 216.700
## 317 290.500
## 318 502.700
## 319 479.900
## 320 NA
## 321 538.000
## 322 422.300
## 323 563.300
## 324 185.600
## 325 271.700
## 326 504.100
## 327 186.600
## 328 359.400
## 329 252.500
## 330 305.900
## 331 514.000
## 332 545.600
## 333 329.800
## 334 418.000
## 335 433.900
## 336 260.200
## 337 150.900
## 338 400.900
## 339 402.300
## 340 179.700
## 341 407.200
## 342 475.800
## 343 162.100
## 344 302.900
## 345 162.100
## 346 320.100
## 347 640.400
## 348 442.700
## 349 516.500
## 350 483.300
## 351 203.400
## 352 436.600
## 353 276.900
## 354 514.000
## 355 367.900
## 356 213.400
## 357 233.200
## 358 462.200
## 359 232.600
## 360 354.200
## 361 305.600
## 362 444.200
## 363 304.900
## 364 196.600
## 365 473.900
## 366 NA
## 367 173.300
## 368 565.100
## 369 598.300
## 370 593.500
## 371 575.000
## 372 547.400
## 373 589.700
## 374 570.800
## 375 503.200
## 376 236.900
## 377 487.500
## 378 122.000
## 379 307.300
## 380 241.500
## 381 389.600
## 382 248.300
## 383 286.900
## 384 99999.000
## 385 453.800
## 386 395.800
## 387 432.900
## 388 120.100
## 389 446.300
## 390 484.500
## 391 263.000
## 392 NA
## 393 366.400
## 394 555.800
## 395 351.400
## 396 268.500
## 397 246.900
## 398 268.000
## 399 715.400
## 400 537.400
## 401 386.200
## 402 521.600
## 403 325.700
## 404 255.400
## 405 640.700
## 406 237.900
## 407 539.800
## 408 203.700
## 409 NA
## 410 NA
## 411 292.700
## 412 245.500
## 413 NA
## 414 379.100
## 415 425.300
## 416 375.000
## 417 328.900
## 418 560.400
## 419 443.400
## 420 386.500
## 421 585.100
## 422 631.100
## 423 246.800
## 424 -100.000
## 425 342.200
## 426 349.800
## 427 NA
## 428 291.500
## 429 421.700
## 430 239.300
## 431 548.700
## 432 371.800
## 433 240.000
## 434 187.700
## 435 510.100
## 436 585.800
## 437 282.200
## 438 433.400
## 439 589.000
## 440 265.400
## 441 225.800
## 442 547.100
## 443 479.900
## 444 147.000
## 445 568.000
## 446 285.500
## 447 236.000
## 448 353.500
## 449 505.400
## 450 212.300
## 451 422.900
## 452 294.800
## 453 403.200
## 454 356.200
## 455 582.000
## 456 217.900
## 457 267.000
## 458 487.200
## 459 268.400
## 460 488.800
## 461 369.600
## 462 NA
## 463 319.700
## 464 300.500
## 465 399.400
## 466 317.000
## 467 245.400
## 468 602.400
## 469 457.300
## 470 151.100
## 471 251.300
## 472 264.500
## 473 311.500
## 474 217.200
## 475 NA
## 476 247.000
## 477 541.000
## 478 523.000
## 479 490.600
## 480 416.200
## 481 287.500
## 482 170.800
## 483 227.200
## 484 269.200
## 485 52.100
## 486 NA
## 487 NA
## 488 228.000
## 489 297.200
## 490 NA
## 491 288.900
## 492 350.100
## 493 305.700
## 494 136.600
## 495 560.200
## 496 227.000
## 497 495.900
## 498 477.500
## 499 347.400
## 500 537.800
## 501 387.200
## 502 325.800
## 503 550.300
## 504 402.600
## 505 374.300
## 506 393.600
## 507 283.700
## 508 362.200
## 509 298.500
## 510 303.900
## 511 509.800
## 512 429.000
## 513 633.500
## 514 307.000
## 515 303.800
## 516 487.300
## 517 264.800
## 518 579.700
## 519 529.000
## 520 537.000
## 521 282.800
## 522 471.400
## 523 390.500
## 524 554.200
## 525 288.500
## 526 301.300
## 527 250.200
## 528 643.600
## 529 357.800
## 530 541.100
## 531 214.000
## 532 339.600
## 533 353.100
## 534 436.200
## 535 NA
## 536 463.300
## 537 NA
## 538 299.500
## 539 473.300
## 540 416.200
## 541 328.100
## 542 212.000
## 543 583.900
## 544 444.600
## 545 262.100
## 546 265.000
## 547 NA
## 548 148.400
## 549 204.100
## 550 241.200
## 551 99999.000
## 552 487.900
## 553 364.900
## 554 293.400
## 555 508.500
## 556 393.200
## 557 273.400
## 558 NA
## 559 219.200
## 560 615.900
## 561 286.900
## 562 342.500
## 563 421.600
## 564 369.500
## 565 404.500
## 566 321.100
## 567 330.500
## 568 233.400
## 569 265.300
## 570 492.800
## 571 566.800
## 572 391.400
## 573 254.700
## 574 388.400
## 575 463.700
## 576 517.000
## 577 396.300
## 578 427.900
## 579 449.900
## 580 NA
## 581 519.100
## 582 246.300
## 583 615.500
## 584 212.000
## 585 232.000
## 586 324.600
## 587 NA
## 588 282.800
## 589 630.100
## 590 290.600
## 591 497.000
## 592 386.700
## 593 606.400
## 594 222.700
## 595 273.000
## 596 516.900
## 597 463.400
## 598 600.600
## 599 297.500
## 600 487.900
## 601 641.800
## 602 482.800
## 603 501.500
## 604 438.700
## 605 463.000
## 606 348.500
## 607 487.900
## 608 445.500
## 609 138.500
## 610 479.200
## 611 NA
## 612 362.900
## 613 610.900
## 614 166.200
## 615 462.700
## 616 218.400
## 617 157.800
## 618 675.700
## 619 286.900
## 620 707.200
## 621 609.500
## 622 550.100
## 623 267.000
## 624 526.700
## 625 530.700
## 626 285.500
## 627 346.400
## 628 325.800
## 629 434.600
## 630 337.500
## 631 467.700
## 632 475.200
## 633 525.600
## 634 578.600
## 635 313.100
## 636 268.600
## 637 595.300
## 638 421.700
## 639 262.900
## 640 379.600
## 641 324.600
## 642 502.400
## 643 224.600
## 644 471.900
## 645 152.400
## 646 576.400
## 647 262.800
## 648 NA
## 649 366.500
## 650 136.600
## 651 336.100
## 652 267.200
## 653 527.200
## 654 227.900
## 655 310.500
## 656 NA
## 657 326.600
## 658 254.200
## 659 536.100
## 660 592.300
## 661 535.800
## 662 598.900
## 663 NA
## 664 NA
## 665 238.500
## 666 314.300
## 667 458.900
## 668 523.800
## 669 498.800
## 670 273.900
## 671 305.100
## 672 NA
## 673 262.300
## 674 511.100
## 675 454.100
## 676 588.200
## 677 355.000
## 678 532.300
## 679 653.100
## 680 255.300
## 681 610.000
## 682 439.700
## 683 202.000
## 684 549.400
## 685 427.900
## 686 257.500
## 687 NA
## 688 333.700
## 689 422.500
## 690 646.100
## 691 573.400
## 692 445.400
## 693 373.800
## 694 255.800
## 695 377.200
## 696 345.400
## 697 537.000
## 698 191.500
## 699 608.200
## 700 191.800- Membersihkan dan merapihkan kolom
Tanggal_Lahir
# Mencoba menebak format tanggal yang berbeda-beda
dmv_nama$tanggal_clean <- parse_date_time(dmv_nama$Tanggal_Lahir, orders = c("dmy", "ymd", "y", "mdy"))
# Cek lagi apakah masih ada yang gagal
sum(is.na(dmv_nama$tanggal_clean))## [1] 42# Melihat data asli dari 32 baris yang gagal di-parse
gagal_tanggal <- dmv_nama$Tanggal_Lahir[is.na(dmv_nama$tanggal_clean) & !is.na(dmv_nama$Tanggal_Lahir)]
print(unique(gagal_tanggal))## character(0)NA pada tanggal_clean akan dibiarkan. Kolom ini
berpotensi akan digunakan dalam perhitungan umur yang
merupakan salah satu faktor utama pada berbagai penyakit. Kolom
dibiarkan agar tidak terjadi bias umur.
- Membersihkan dan merapihkan kolom
Penyakit.
# Melihat semua variasi input di kolom penyakit
sort(table(dmv_nama$Penyakit, useNA = "always"), decreasing = TRUE)##
## Non-Diabetic Diabetic <NA> DM DIABETIC No
## 334 294 45 5 3 3
## Tidak 1 diabetic non-diabetic Yes Healthy
## 3 2 2 2 2 1
## NON-DIABETIC Normal Sakit Sehat
## 1 1 1 1dmv_penyakit <- dmv_nama %>%
mutate(penyakit_clean = case_when(
# Kelompokkan semua yang bermakna "Sakit/Diabet"
Penyakit %in% c("Diabetic", "DM", "DIABETIC", "diabetic", "1", "Yes", "Sakit") ~ "Diabetic",
# Kelompokkan semua yang bermakna "Sehat/Aman"
Penyakit %in% c("Non-Diabetic", "No", "Tidak", "non-diabetic", "Healthy",
"NON-DIABETIC", "Normal", "Sehat") ~ "Non-Diabetic",
# Biarkan sisanya (termasuk NA) tetap NA
TRUE ~ NA_character_
))
# Cek hasilnya
table(dmv_penyakit$penyakit_clean, useNA = "always")##
## Diabetic Non-Diabetic <NA>
## 309 346 45Missing value (NA) pada kolom penyakit akan dibiarkan, cukup
melakukan standarisasi. Perilaku ini dikarenakan penyakit adalah label
utama. Kolom ini adalah variabel yang membagi subjek dalam kelompok
penelitian. Jika NA pada kolom penyakit_clean diisi,
potensi uji korelasi pada biostatistik menjadi bias atau cacat akan
semakin tinggi.
Karena kolom ini akan digunakan untuk melakukan imputasi pada kolom
lain nantinya, maka kolom ini harus bersih dari estimasi. Melakukan
estimasi nilai pada variabel diagnosa tanpa dasar rekam medis yang
definitif berisiko menimbulkan systematic bias yang dapat
mendistorsi hasil uji hubungan antar variabel biofisik lainnya.
# Melihat apakah ada pola kehilangan data yang bersamaan (Co-occurrence)
gg_miss_upset(dmv_penyakit)## Warning: `aes_string()` was deprecated in ggplot2 3.0.0.
## ℹ Please use tidy evaluation idioms with `aes()`.
## ℹ See also `vignette("ggplot2-in-packages")` for more information.
## ℹ The deprecated feature was likely used in the UpSetR package.
## Please report the issue to the authors.
## This warning is displayed once per session.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## ℹ The deprecated feature was likely used in the UpSetR package.
## Please report the issue to the authors.
## This warning is displayed once per session.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.## Warning: The `size` argument of `element_line()` is deprecated as of ggplot2 3.4.0.
## ℹ Please use the `linewidth` argument instead.
## ℹ The deprecated feature was likely used in the UpSetR package.
## Please report the issue to the authors.
## This warning is displayed once per session.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
- Membersihkan dan merapihkan kolom
TensiKolomTensiterdiri atas Sistolik (angka atas) dan Diastolik (angka bawah) yang dipisahkan dengan tanda/. Jika digabung, R akan membacanya sebagai teks dan akan berakibat pada kesulitan ketika menghitung nantinya. Sistolik dan Diastolik akan dipidahkan menjadi dua kolom berbeda.
# Melihat 10 sampel isi kolom Tensi yang unik
unique(dmv_penyakit$Tensi)[1:100]## [1] "112/67" "140 / 91" "134/72" "120/79" "99/77"
## [6] "149/65" "110/71" "108/67" NA "128/78"
## [11] "113/75" "113/68" "105/90" "128/62" "102/80"
## [16] "135/64" "106/67" "121/91" "106/83" "103/83"
## [21] "129/66" "93/70" "111/67" "127/85" "121/92"
## [26] "119/86" "135/78" "129/69" "118/92" "87/76"
## [31] "103/76" "105/88" "134/73" "129/90" "115/74"
## [36] "126/65" "122/77" "129/80" "153/68 mmHg" "99/97"
## [41] "134/66" "114/60" "128/85" "101 / 96" "122/69"
## [46] "117/83" "93/78" "132/74" "101/78" "124/93"
## [51] "122/62" "132/66" "121/60" "119/83" "143/93"
## [56] "106/74" "108/68" "133/85" "121/70" "121/71"
## [61] "123/65" "132/76" "102/94" "111/72" "114/79"
## [66] "136/75" "140/80" "105/81" "121/55" "126/84"
## [71] "131/93" "150" "112/86" "125/77" "136/69"
## [76] "110/70" "117/75" "96/81" "113/49" "108/71"
## [81] "98/82" "123/94" "120/72" "128/69" "128/95"
## [86] "125/86" "128/91" "158 / 62" "115/84" "85/84"
## [91] "132/73" "125/47" "134/101" "117/80" "139/94"
## [96] "109/77" "114/81" "119/93" "96/73" "122/74"dmv_tensi <- dmv_penyakit %>%
mutate(
# 1. Bersihkan spasi di sekitar tanda "/" agar seragam menjadi "120/80"
# dan hapus teks "mmHg" agar tidak mengganggu pemecahan
tensi_temp = gsub(" ", "", Tensi),
tensi_temp = gsub("mmHg", "", tensi_temp)
) %>%
# 2. Pecah menjadi dua kolom berdasarkan tanda "/"
# fill = "right" artinya jika cuma ada satu angka (seperti "150"), kolom diastolik akan jadi NA
separate(tensi_temp, into = c("Sistolik", "Diastolik"), sep = "/", fill = "right") %>%
# 3. Ubah menjadi numerik murni (<dbl>)
mutate(
Sistolik = as.numeric(Sistolik),
Diastolik = as.numeric(Diastolik)
)## Warning: There was 1 warning in `mutate()`.
## ℹ In argument: `Sistolik = as.numeric(Sistolik)`.
## Caused by warning:
## ! NAs introduced by coercion# Cek 10 baris pertama untuk memastikan transformasi berhasil
dmv_tensi %>% select(Tensi, Sistolik, Diastolik) %>% head(10)## Tensi Sistolik Diastolik
## 1 112/67 112 67
## 2 140 / 91 140 91
## 3 134/72 134 72
## 4 120/79 120 79
## 5 99/77 99 77
## 6 149/65 149 65
## 7 110/71 110 71
## 8 108/67 108 67
## 9 <NA> NA NA
## 10 128/78 128 78Setelah membersihkan dan membagi kolom Tensi menjadi dua
bagian, saatnya menangani missing value kolom tersebut.
# Imputasi Sistolik dan Diastolik berdasarkan kelompok penyakit
# Langkah ini dilakukan agar data tensi siap digunakan untuk analisa biostatistika
dmv_tensi_imputed <- dmv_tensi %>%
group_by(penyakit_clean) %>%
mutate(
Sistolik = ifelse(is.na(Sistolik), median(Sistolik, na.rm = TRUE), Sistolik),
Diastolik = ifelse(is.na(Diastolik), median(Diastolik, na.rm = TRUE), Diastolik)
) %>%
ungroup() %>%
# Imputasi global jika penyakit_clean adalah NA
mutate(
Sistolik = ifelse(is.na(Sistolik), median(Sistolik, na.rm = TRUE), Sistolik),
Diastolik = ifelse(is.na(Diastolik), median(Diastolik, na.rm = TRUE), Diastolik)
)
# Verifikasi keberhasilan imputasi Tensi
sum(is.na(dmv_tensi_imputed$Sistolik))## [1] 0sum(is.na(dmv_tensi_imputed$Diastolik))## [1] 0- Membersihkan dan merapihkankolom
Skin_Stiffness_N_per_mm)
# Cek struktur dan 10 data unik teratas
str(dmv_tensi_imputed$Skin_Stiffness_N_per_mm)## num [1:700] 0.69 1.5 0.76 1.92 0.81 0.61 1.04 2.24 0.18 NA ...unique(dmv_tensi_imputed$Skin_Stiffness_N_per_mm)[1:100]## [1] 0.69 1.50 0.76 1.92 0.81 0.61 1.04 2.24 0.18 NA 0.25 0.87
## [13] 1.07 0.38 0.42 0.83 0.71 2.13 0.23 1.10 0.46 1.60 0.78 1.67
## [25] 1.26 1.17 0.50 0.65 1.63 1.99 0.89 0.74 -2.18 1.64 0.72 -1.50
## [37] 1.12 1.31 0.79 0.47 0.67 1.76 2.26 0.49 0.95 1.65 0.94 2.03
## [49] 0.88 1.21 0.56 1.68 0.10 1.53 0.84 1.24 2.07 1.13 2.90 0.41
## [61] 0.97 1.05 0.36 0.33 1.78 0.64 1.80 0.51 0.55 0.66 0.80 1.11
## [73] 1.01 0.13 1.25 0.54 1.89 1.18 1.43 1.81 0.63 0.31 1.47 0.85
## [85] 0.52 1.46 1.29 1.42 0.30 1.75 0.39 1.72 1.00 1.94 1.98 1.22
## [97] 0.73 1.56 1.73 1.74Terdapat nilai negatif. Secara biostatistika, kekakuan kulit tidak mungkin bernilai negatif. Nilai negatif pada alat ukur fisik sering kali menandakat alat tersebut sedang error, sensor tidak menyentuh kulit dengan benar, atau subjek bergerak saat dilaser. Nilai negatif akan diubah menjadi NA karena akan merusak rata-rata korelasi nantinya.
# Mengubah nilai negatif menjadi NA karena secara fisik tidak mungkin
dmv_skin <- dmv_tensi_imputed %>%
mutate(Skin_Stiffness_N_per_mm = ifelse(Skin_Stiffness_N_per_mm < 0, NA, Skin_Stiffness_N_per_mm))
dmv_skin## # A tibble: 700 × 11
## Tanggal_Lahir Tensi Skin_Stiffness_N_per_mm Microcirculation_PU
## <chr> <chr> <dbl> <dbl>
## 1 01/04/1957 112/67 0.69 42
## 2 20/09/1975 140 / 91 1.5 41.9
## 3 12/04/1965 134/72 0.76 26.3
## 4 11/09/1980 120/79 1.92 NA
## 5 22/08/1985 99/77 0.81 25.5
## 6 10/08/1962 149/65 0.61 42.2
## 7 18/01/1994 110/71 1.04 2
## 8 02/08/1982 108/67 2.24 9.5
## 9 06/12/1982 <NA> 0.18 24.8
## 10 26/02/1951 128/78 NA 40.9
## # ℹ 690 more rows
## # ℹ 7 more variables: Suhu_Tubuh_Celcius <chr>, Penyakit <chr>,
## # Peak_Plantar_Pressure_kPa <dbl>, tanggal_clean <dttm>,
## # penyakit_clean <chr>, Sistolik <dbl>, Diastolik <dbl>Pengisian NA pada kolom Skin_Stiffness_N_per_mmakan
dilakukan dengan menggunakan median. Mengingat mean sangat sensitif
terhadap nilai ekstrem (outlier), maka menggunakan median cenderung
safer agar nilai imputasi tidak terdistorsi oleh data yang sangat tinggi
atau sangat rendah. Agar lebih akurat, median yang digunakan akan
dikelompokkan sesuai dengan penyakit pasien (diabetic dan
non-diabetic). Akan digunakan median pada tiap
kelompok.
# Melakukan imputasi berdasarkan kelompok penyakit_clean
dmv_imputed <- dmv_skin %>%
group_by(penyakit_clean) %>%
mutate(
# Kita menggunakan median karena lebih robust terhadap outlier dibandingkan mean
# na.rm = TRUE wajib ada agar R mengabaikan NA saat menghitung nilai tengah
Skin_Stiffness_N_per_mm = ifelse(
is.na(Skin_Stiffness_N_per_mm),
median(Skin_Stiffness_N_per_mm, na.rm = TRUE),
Skin_Stiffness_N_per_mm
)
) %>%
ungroup() # Selalu gunakan ungroup setelah group_by agar tidak mengganggu proses selanjutnya
# Verifikasi: Cek apakah masih ada NA di kolom tersebut
sum(is.na(dmv_imputed$Skin_Stiffness_N_per_mm))## [1] 0Mengingat NA pada kolompenyakit_clean dibiarkan kosong,
maka akan dilakukan komputasi tambahan untuk mengatasi NA yang tidak
ikut tercover oleh group_by.
dmv_skin_final <- dmv_imputed %>%
mutate(
Skin_Stiffness_N_per_mm = ifelse(
is.na(Skin_Stiffness_N_per_mm),
median(Skin_Stiffness_N_per_mm, na.rm = TRUE), # Median dari seluruh data
Skin_Stiffness_N_per_mm
)
)
# hasil akhir pembersihan kolom Skin Stiffness
dmv_skin_final## # A tibble: 700 × 11
## Tanggal_Lahir Tensi Skin_Stiffness_N_per_mm Microcirculation_PU
## <chr> <chr> <dbl> <dbl>
## 1 01/04/1957 112/67 0.69 42
## 2 20/09/1975 140 / 91 1.5 41.9
## 3 12/04/1965 134/72 0.76 26.3
## 4 11/09/1980 120/79 1.92 NA
## 5 22/08/1985 99/77 0.81 25.5
## 6 10/08/1962 149/65 0.61 42.2
## 7 18/01/1994 110/71 1.04 2
## 8 02/08/1982 108/67 2.24 9.5
## 9 06/12/1982 <NA> 0.18 24.8
## 10 26/02/1951 128/78 0.74 40.9
## # ℹ 690 more rows
## # ℹ 7 more variables: Suhu_Tubuh_Celcius <chr>, Penyakit <chr>,
## # Peak_Plantar_Pressure_kPa <dbl>, tanggal_clean <dttm>,
## # penyakit_clean <chr>, Sistolik <dbl>, Diastolik <dbl>- Membersihkan dan merapihkan kolom
Microcirculation_PU,Suhu_Tubuh_Celcius, danPeak_Plantar_Pressure_kPa
dmv_all_clean <- dmv_skin_final %>%
# Langkah A: Pastikan semua menjadi numerik dulu
mutate(
Suhu_Tubuh_Celcius = parse_number(Suhu_Tubuh_Celcius),
Microcirculation_PU = as.numeric(Microcirculation_PU),
Peak_Plantar_Pressure_kPa = as.numeric(Peak_Plantar_Pressure_kPa)
) %>%
# Langkah B: Imputasi Kelompok (Grouping)
group_by(penyakit_clean) %>%
mutate(
across(
c(Microcirculation_PU, Suhu_Tubuh_Celcius, Peak_Plantar_Pressure_kPa),
~ ifelse(is.na(.), median(., na.rm = TRUE), .)
)
) %>%
ungroup() %>%
# Langkah C: Imputasi Global (Jika masih ada sisa NA karena penyakit_clean-nya NA)
mutate(
across(
c(Microcirculation_PU, Suhu_Tubuh_Celcius, Peak_Plantar_Pressure_kPa),
~ ifelse(is.na(.), median(., na.rm = TRUE), .)
)
)
# Verifikasi Akhir: Cek apakah masih ada missing value yang tertinggal
colSums(is.na(dmv_all_clean))## Tanggal_Lahir Tensi Skin_Stiffness_N_per_mm
## 42 47 0
## Microcirculation_PU Suhu_Tubuh_Celcius Penyakit
## 0 0 45
## Peak_Plantar_Pressure_kPa tanggal_clean penyakit_clean
## 0 42 45
## Sistolik Diastolik
## 0 0# Menghapus kolom asli yang masih kotor dan kolom temporer
dmv_final_cleaned <- dmv_all_clean %>%
select(-Tensi, -Penyakit, -Tanggal_Lahir, -Tensi)
# Menampilkan struktur akhir data
glimpse(dmv_final_cleaned)## Rows: 700
## Columns: 8
## $ Skin_Stiffness_N_per_mm <dbl> 0.690, 1.500, 0.760, 1.920, 0.810, 0.610, 1.…
## $ Microcirculation_PU <dbl> 42.0, 41.9, 26.3, 18.1, 25.5, 42.2, 2.0, 9.5…
## $ Suhu_Tubuh_Celcius <dbl> 37.6, 36.5, 37.5, 37.0, 36.0, 36.8, 36.3, 36…
## $ Peak_Plantar_Pressure_kPa <dbl> 294.0, 284.9, 431.8, 577.5, 502.3, 201.4, 51…
## $ tanggal_clean <dttm> 1957-04-01, 1975-09-20, 1965-04-12, 1980-09…
## $ penyakit_clean <chr> "Non-Diabetic", "Non-Diabetic", "Non-Diabeti…
## $ Sistolik <dbl> 112, 140, 134, 120, 99, 149, 110, 108, 118, …
## $ Diastolik <dbl> 67, 91, 72, 79, 77, 65, 71, 67, 75, 78, 75, …# Memeriksa total missing value akhir
colSums(is.na(dmv_final_cleaned))## Skin_Stiffness_N_per_mm Microcirculation_PU Suhu_Tubuh_Celcius
## 0 0 0
## Peak_Plantar_Pressure_kPa tanggal_clean penyakit_clean
## 0 42 45
## Sistolik Diastolik
## 0 0# Tampilan akhir data setelah pembersihan missing value
dmv_final_cleaned## # A tibble: 700 × 8
## Skin_Stiffness_N_per_mm Microcirculation_PU Suhu_Tubuh_Celcius
## <dbl> <dbl> <dbl>
## 1 0.69 42 37.6
## 2 1.5 41.9 36.5
## 3 0.76 26.3 37.5
## 4 1.92 18.1 37
## 5 0.81 25.5 36
## 6 0.61 42.2 36.8
## 7 1.04 2 36.3
## 8 2.24 9.5 36.4
## 9 0.18 24.8 36.9
## 10 0.74 40.9 36.6
## # ℹ 690 more rows
## # ℹ 5 more variables: Peak_Plantar_Pressure_kPa <dbl>, tanggal_clean <dttm>,
## # penyakit_clean <chr>, Sistolik <dbl>, Diastolik <dbl>Step 4 (handling duplicated data)
- Deteksi jumlah duplikasi
# Menghitung jumlah baris yang duplikat total
n_duplikat <- sum(duplicated(dmv_final_cleaned))
print(paste("Jumlah baris duplikat:", n_duplikat))## [1] "Jumlah baris duplikat: 5"# Melihat data mana saja yang duplikat (untuk audit manual)
data_duplikat <- dmv_final_cleaned[duplicated(dmv_final_cleaned) | duplicated(dmv_final_cleaned, fromLast = TRUE), ]
# Tampilkan beberapa jika ada
head(data_duplikat)## # A tibble: 6 × 8
## Skin_Stiffness_N_per_mm Microcirculation_PU Suhu_Tubuh_Celcius
## <dbl> <dbl> <dbl>
## 1 0.41 34.9 36.9
## 2 1.43 36.9 37
## 3 0.41 34.9 36.9
## 4 1.66 14.6 36.6
## 5 1.03 33 36.7
## 6 1.66 14.6 36.6
## # ℹ 5 more variables: Peak_Plantar_Pressure_kPa <dbl>, tanggal_clean <dttm>,
## # penyakit_clean <chr>, Sistolik <dbl>, Diastolik <dbl>- Penanganan duplikasi
# Menghapus duplikat dan menyimpan ke variabel baru
# ddu = data duplicated
ddu_clean <- dmv_final_cleaned %>%
distinct()
# Verifikasi jumlah baris setelah dihapus
nrow(dmv_final_cleaned) # Sebelum## [1] 700nrow(ddu_clean) # Sesudah## [1] 695Step 5 (handling outliers)
- Visualisasi outlier dengan boxplot
# Membuat boxplot untuk semua kolom numerik utama
# Kita gunakan ddu_clean (data terakhir yang sudah tidak ada duplikat)
ddu_clean %>%
select(Sistolik, Diastolik, Skin_Stiffness_N_per_mm,
Microcirculation_PU, Suhu_Tubuh_Celcius, Peak_Plantar_Pressure_kPa) %>%
pivot_longer(cols = everything(), names_to = "Variabel", values_to = "Nilai") %>%
ggplot(aes(x = Variabel, y = Nilai, fill = Variabel)) +
geom_boxplot(outlier.colour = "red", outlier.shape = 16) +
facet_wrap(~Variabel, scales = "free") +
theme_minimal() +
labs(title = "Deteksi Outlier pada Variabel Biofisik", y = "Nilai", x = "")
# Fungsi sederhana untuk menghitung jumlah outlier
count_outliers <- function(x) {
q1 <- quantile(x, 0.25, na.rm = TRUE)
q3 <- quantile(x, 0.75, na.rm = TRUE)
iqr <- q3 - q1
sum(x < (q1 - 1.5 * iqr) | x > (q3 + 1.5 * iqr), na.rm = TRUE)
}
# Terapkan ke semua kolom numerik
ddu_clean %>%
summarise(across(where(is.numeric), count_outliers))## # A tibble: 1 × 6
## Skin_Stiffness_N_per_mm Microcirculation_PU Suhu_Tubuh_Celcius
## <int> <int> <int>
## 1 1 9 14
## # ℹ 3 more variables: Peak_Plantar_Pressure_kPa <int>, Sistolik <int>,
## # Diastolik <int>Analisis pencilan dilakukan menggunakan metode Interquartile Range (IQR). Ditemukan beberapa nilai ekstrim pada variabel hemodinamika (Sistolik & Diastolik) serta suhu tubuh. Mengingat variabel tersebut merupakan data biologis yang valid namun memiliki variansi tinggi, maka diputuskan untuk melakukan teknik Winsorizing (Capping).
Teknik ini mengganti nilai di luar batas \(1.5 \times IQR\) dengan nilai batas atas/bawah yang sesuai. Langkah ini diambil untuk menekan pengaruh data ekstrim terhadap perhitungan korelasi Pearson nantinya, tanpa harus menghapus observasi berharga dari dataset.”
# Melihat data outlier
# Menghitung batas untuk kolom Sistolik
q1_sis <- quantile(ddu_clean$Sistolik, 0.25, na.rm = TRUE)
q3_sis <- quantile(ddu_clean$Sistolik, 0.75, na.rm = TRUE)
iqr_sis <- q3_sis - q1_sis
batas_bawah <- q1_sis - 1.5 * iqr_sis
batas_atas <- q3_sis + 1.5 * iqr_sis
# Menampilkan baris yang merupakan outlier di kolom Sistolik
outlier_sistolik <- ddu_clean %>%
filter(Sistolik < batas_bawah | Sistolik > batas_atas)
# Intip datanya
view(outlier_sistolik)
# atau cukup print kolom kuncinya
outlier_sistolik %>% select(penyakit_clean, Sistolik, Diastolik, Suhu_Tubuh_Celcius)## # A tibble: 16 × 4
## penyakit_clean Sistolik Diastolik Suhu_Tubuh_Celcius
## <chr> <dbl> <dbl> <dbl>
## 1 Non-Diabetic 87 76 37
## 2 Diabetic 158 62 37.1
## 3 Non-Diabetic 85 84 36.7
## 4 Non-Diabetic 86 92 36.6
## 5 Diabetic 157 67 42.5
## 6 Diabetic 159 78 37.4
## 7 Non-Diabetic 78 76 36.4
## 8 Non-Diabetic 156 76 36.9
## 9 Diabetic 82 71 35.6
## 10 Diabetic 164 70 36.9
## 11 Diabetic 156 92 37.3
## 12 Non-Diabetic 84 54 35.7
## 13 Non-Diabetic 80 73 36.3
## 14 Non-Diabetic 78 76 36.4
## 15 Non-Diabetic 156 75 36.8
## 16 Diabetic 86 80 36.8# 1. Menangani Microcirculation yang minus (Inconsistency)
ddu_clean <- ddu_clean %>%
mutate(Microcirculation_PU = ifelse(Microcirculation_PU < 0, NA, Microcirculation_PU))
# 2. Re-imputasi singkat khusus untuk satu data microcirculation tadi agar tidak NA
# Menggunakan median kelompok yang sudah kita buat sebelumnya
ddu_clean <- ddu_clean %>%
group_by(penyakit_clean) %>%
mutate(Microcirculation_PU = ifelse(is.na(Microcirculation_PU),
median(Microcirculation_PU, na.rm = TRUE),
Microcirculation_PU)) %>%
ungroup()
# 3. Baru lakukan Winsorizing (Capping) Borongan
# Chunk: Definisi Fungsi Outlier
cap_outliers <- function(x) {
q1 <- quantile(x, 0.25, na.rm = TRUE)
q3 <- quantile(x, 0.75, na.rm = TRUE)
iqr <- q3 - q1
lower_bound <- q1 - 1.5 * iqr
upper_bound <- q3 + 1.5 * iqr
# Ganti nilai yang di luar batas dengan nilai batas tersebut
x <- ifelse(x < lower_bound, lower_bound, x)
x <- ifelse(x > upper_bound, upper_bound, x)
return(x)
}
dcl_final <- ddu_clean %>%
mutate(across(where(is.numeric), cap_outliers))Step 6 (Validate and Save)
write.csv(dcl_final, "data_cleaned_biostatistic.csv", row.names = FALSE)