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tijptjik/wine.csv

Created March 7, 2014 09:47
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Wine Dataset
Raw
wine.csv
Wine Alcohol Malic.acid Ash Acl Mg Phenols Flavanoids Nonflavanoid.phenols Proanth Color.int Hue OD Proline
1 14.23 1.71 2.43 15.6 127 2.8 3.06 .28 2.29 5.64 1.04 3.92 1065
1 13.2 1.78 2.14 11.2 100 2.65 2.76 .26 1.28 4.38 1.05 3.4 1050
1 13.16 2.36 2.67 18.6 101 2.8 3.24 .3 2.81 5.68 1.03 3.17 1185
1 14.37 1.95 2.5 16.8 113 3.85 3.49 .24 2.18 7.8 .86 3.45 1480
1 13.24 2.59 2.87 21 118 2.8 2.69 .39 1.82 4.32 1.04 2.93 735
1 14.2 1.76 2.45 15.2 112 3.27 3.39 .34 1.97 6.75 1.05 2.85 1450
1 14.39 1.87 2.45 14.6 96 2.5 2.52 .3 1.98 5.25 1.02 3.58 1290
1 14.06 2.15 2.61 17.6 121 2.6 2.51 .31 1.25 5.05 1.06 3.58 1295
1 14.83 1.64 2.17 14 97 2.8 2.98 .29 1.98 5.2 1.08 2.85 1045
1 13.86 1.35 2.27 16 98 2.98 3.15 .22 1.85 7.22 1.01 3.55 1045
1 14.1 2.16 2.3 18 105 2.95 3.32 .22 2.38 5.75 1.25 3.17 1510
1 14.12 1.48 2.32 16.8 95 2.2 2.43 .26 1.57 5 1.17 2.82 1280
1 13.75 1.73 2.41 16 89 2.6 2.76 .29 1.81 5.6 1.15 2.9 1320
1 14.75 1.73 2.39 11.4 91 3.1 3.69 .43 2.81 5.4 1.25 2.73 1150
1 14.38 1.87 2.38 12 102 3.3 3.64 .29 2.96 7.5 1.2 3 1547
1 13.63 1.81 2.7 17.2 112 2.85 2.91 .3 1.46 7.3 1.28 2.88 1310
1 14.3 1.92 2.72 20 120 2.8 3.14 .33 1.97 6.2 1.07 2.65 1280
1 13.83 1.57 2.62 20 115 2.95 3.4 .4 1.72 6.6 1.13 2.57 1130
1 14.19 1.59 2.48 16.5 108 3.3 3.93 .32 1.86 8.7 1.23 2.82 1680
1 13.64 3.1 2.56 15.2 116 2.7 3.03 .17 1.66 5.1 .96 3.36 845
1 14.06 1.63 2.28 16 126 3 3.17 .24 2.1 5.65 1.09 3.71 780
1 12.93 3.8 2.65 18.6 102 2.41 2.41 .25 1.98 4.5 1.03 3.52 770
1 13.71 1.86 2.36 16.6 101 2.61 2.88 .27 1.69 3.8 1.11 4 1035
1 12.85 1.6 2.52 17.8 95 2.48 2.37 .26 1.46 3.93 1.09 3.63 1015
1 13.5 1.81 2.61 20 96 2.53 2.61 .28 1.66 3.52 1.12 3.82 845
1 13.05 2.05 3.22 25 124 2.63 2.68 .47 1.92 3.58 1.13 3.2 830
1 13.39 1.77 2.62 16.1 93 2.85 2.94 .34 1.45 4.8 .92 3.22 1195
1 13.3 1.72 2.14 17 94 2.4 2.19 .27 1.35 3.95 1.02 2.77 1285
1 13.87 1.9 2.8 19.4 107 2.95 2.97 .37 1.76 4.5 1.25 3.4 915
1 14.02 1.68 2.21 16 96 2.65 2.33 .26 1.98 4.7 1.04 3.59 1035
1 13.73 1.5 2.7 22.5 101 3 3.25 .29 2.38 5.7 1.19 2.71 1285
1 13.58 1.66 2.36 19.1 106 2.86 3.19 .22 1.95 6.9 1.09 2.88 1515
1 13.68 1.83 2.36 17.2 104 2.42 2.69 .42 1.97 3.84 1.23 2.87 990
1 13.76 1.53 2.7 19.5 132 2.95 2.74 .5 1.35 5.4 1.25 3 1235
1 13.51 1.8 2.65 19 110 2.35 2.53 .29 1.54 4.2 1.1 2.87 1095
1 13.48 1.81 2.41 20.5 100 2.7 2.98 .26 1.86 5.1 1.04 3.47 920
1 13.28 1.64 2.84 15.5 110 2.6 2.68 .34 1.36 4.6 1.09 2.78 880
1 13.05 1.65 2.55 18 98 2.45 2.43 .29 1.44 4.25 1.12 2.51 1105
1 13.07 1.5 2.1 15.5 98 2.4 2.64 .28 1.37 3.7 1.18 2.69 1020
1 14.22 3.99 2.51 13.2 128 3 3.04 .2 2.08 5.1 .89 3.53 760
1 13.56 1.71 2.31 16.2 117 3.15 3.29 .34 2.34 6.13 .95 3.38 795
1 13.41 3.84 2.12 18.8 90 2.45 2.68 .27 1.48 4.28 .91 3 1035
1 13.88 1.89 2.59 15 101 3.25 3.56 .17 1.7 5.43 .88 3.56 1095
1 13.24 3.98 2.29 17.5 103 2.64 2.63 .32 1.66 4.36 .82 3 680
1 13.05 1.77 2.1 17 107 3 3 .28 2.03 5.04 .88 3.35 885
1 14.21 4.04 2.44 18.9 111 2.85 2.65 .3 1.25 5.24 .87 3.33 1080
1 14.38 3.59 2.28 16 102 3.25 3.17 .27 2.19 4.9 1.04 3.44 1065
1 13.9 1.68 2.12 16 101 3.1 3.39 .21 2.14 6.1 .91 3.33 985
1 14.1 2.02 2.4 18.8 103 2.75 2.92 .32 2.38 6.2 1.07 2.75 1060
1 13.94 1.73 2.27 17.4 108 2.88 3.54 .32 2.08 8.90 1.12 3.1 1260
1 13.05 1.73 2.04 12.4 92 2.72 3.27 .17 2.91 7.2 1.12 2.91 1150
1 13.83 1.65 2.6 17.2 94 2.45 2.99 .22 2.29 5.6 1.24 3.37 1265
1 13.82 1.75 2.42 14 111 3.88 3.74 .32 1.87 7.05 1.01 3.26 1190
1 13.77 1.9 2.68 17.1 115 3 2.79 .39 1.68 6.3 1.13 2.93 1375
1 13.74 1.67 2.25 16.4 118 2.6 2.9 .21 1.62 5.85 .92 3.2 1060
1 13.56 1.73 2.46 20.5 116 2.96 2.78 .2 2.45 6.25 .98 3.03 1120
1 14.22 1.7 2.3 16.3 118 3.2 3 .26 2.03 6.38 .94 3.31 970
1 13.29 1.97 2.68 16.8 102 3 3.23 .31 1.66 6 1.07 2.84 1270
1 13.72 1.43 2.5 16.7 108 3.4 3.67 .19 2.04 6.8 .89 2.87 1285
2 12.37 .94 1.36 10.6 88 1.98 .57 .28 .42 1.95 1.05 1.82 520
2 12.33 1.1 2.28 16 101 2.05 1.09 .63 .41 3.27 1.25 1.67 680
2 12.64 1.36 2.02 16.8 100 2.02 1.41 .53 .62 5.75 .98 1.59 450
2 13.67 1.25 1.92 18 94 2.1 1.79 .32 .73 3.8 1.23 2.46 630
2 12.37 1.13 2.16 19 87 3.5 3.1 .19 1.87 4.45 1.22 2.87 420
2 12.17 1.45 2.53 19 104 1.89 1.75 .45 1.03 2.95 1.45 2.23 355
2 12.37 1.21 2.56 18.1 98 2.42 2.65 .37 2.08 4.6 1.19 2.3 678
2 13.11 1.01 1.7 15 78 2.98 3.18 .26 2.28 5.3 1.12 3.18 502
2 12.37 1.17 1.92 19.6 78 2.11 2 .27 1.04 4.68 1.12 3.48 510
2 13.34 .94 2.36 17 110 2.53 1.3 .55 .42 3.17 1.02 1.93 750
2 12.21 1.19 1.75 16.8 151 1.85 1.28 .14 2.5 2.85 1.28 3.07 718
2 12.29 1.61 2.21 20.4 103 1.1 1.02 .37 1.46 3.05 .906 1.82 870
2 13.86 1.51 2.67 25 86 2.95 2.86 .21 1.87 3.38 1.36 3.16 410
2 13.49 1.66 2.24 24 87 1.88 1.84 .27 1.03 3.74 .98 2.78 472
2 12.99 1.67 2.6 30 139 3.3 2.89 .21 1.96 3.35 1.31 3.5 985
2 11.96 1.09 2.3 21 101 3.38 2.14 .13 1.65 3.21 .99 3.13 886
2 11.66 1.88 1.92 16 97 1.61 1.57 .34 1.15 3.8 1.23 2.14 428
2 13.03 .9 1.71 16 86 1.95 2.03 .24 1.46 4.6 1.19 2.48 392
2 11.84 2.89 2.23 18 112 1.72 1.32 .43 .95 2.65 .96 2.52 500
2 12.33 .99 1.95 14.8 136 1.9 1.85 .35 2.76 3.4 1.06 2.31 750
2 12.7 3.87 2.4 23 101 2.83 2.55 .43 1.95 2.57 1.19 3.13 463
2 12 .92 2 19 86 2.42 2.26 .3 1.43 2.5 1.38 3.12 278
2 12.72 1.81 2.2 18.8 86 2.2 2.53 .26 1.77 3.9 1.16 3.14 714
2 12.08 1.13 2.51 24 78 2 1.58 .4 1.4 2.2 1.31 2.72 630
2 13.05 3.86 2.32 22.5 85 1.65 1.59 .61 1.62 4.8 .84 2.01 515
2 11.84 .89 2.58 18 94 2.2 2.21 .22 2.35 3.05 .79 3.08 520
2 12.67 .98 2.24 18 99 2.2 1.94 .3 1.46 2.62 1.23 3.16 450
2 12.16 1.61 2.31 22.8 90 1.78 1.69 .43 1.56 2.45 1.33 2.26 495
2 11.65 1.67 2.62 26 88 1.92 1.61 .4 1.34 2.6 1.36 3.21 562
2 11.64 2.06 2.46 21.6 84 1.95 1.69 .48 1.35 2.8 1 2.75 680
2 12.08 1.33 2.3 23.6 70 2.2 1.59 .42 1.38 1.74 1.07 3.21 625
2 12.08 1.83 2.32 18.5 81 1.6 1.5 .52 1.64 2.4 1.08 2.27 480
2 12 1.51 2.42 22 86 1.45 1.25 .5 1.63 3.6 1.05 2.65 450
2 12.69 1.53 2.26 20.7 80 1.38 1.46 .58 1.62 3.05 .96 2.06 495
2 12.29 2.83 2.22 18 88 2.45 2.25 .25 1.99 2.15 1.15 3.3 290
2 11.62 1.99 2.28 18 98 3.02 2.26 .17 1.35 3.25 1.16 2.96 345
2 12.47 1.52 2.2 19 162 2.5 2.27 .32 3.28 2.6 1.16 2.63 937
2 11.81 2.12 2.74 21.5 134 1.6 .99 .14 1.56 2.5 .95 2.26 625
2 12.29 1.41 1.98 16 85 2.55 2.5 .29 1.77 2.9 1.23 2.74 428
2 12.37 1.07 2.1 18.5 88 3.52 3.75 .24 1.95 4.5 1.04 2.77 660
2 12.29 3.17 2.21 18 88 2.85 2.99 .45 2.81 2.3 1.42 2.83 406
2 12.08 2.08 1.7 17.5 97 2.23 2.17 .26 1.4 3.3 1.27 2.96 710
2 12.6 1.34 1.9 18.5 88 1.45 1.36 .29 1.35 2.45 1.04 2.77 562
2 12.34 2.45 2.46 21 98 2.56 2.11 .34 1.31 2.8 .8 3.38 438
2 11.82 1.72 1.88 19.5 86 2.5 1.64 .37 1.42 2.06 .94 2.44 415
2 12.51 1.73 1.98 20.5 85 2.2 1.92 .32 1.48 2.94 1.04 3.57 672
2 12.42 2.55 2.27 22 90 1.68 1.84 .66 1.42 2.7 .86 3.3 315
2 12.25 1.73 2.12 19 80 1.65 2.03 .37 1.63 3.4 1 3.17 510
2 12.72 1.75 2.28 22.5 84 1.38 1.76 .48 1.63 3.3 .88 2.42 488
2 12.22 1.29 1.94 19 92 2.36 2.04 .39 2.08 2.7 .86 3.02 312
2 11.61 1.35 2.7 20 94 2.74 2.92 .29 2.49 2.65 .96 3.26 680
2 11.46 3.74 1.82 19.5 107 3.18 2.58 .24 3.58 2.9 .75 2.81 562
2 12.52 2.43 2.17 21 88 2.55 2.27 .26 1.22 2 .9 2.78 325
2 11.76 2.68 2.92 20 103 1.75 2.03 .6 1.05 3.8 1.23 2.5 607
2 11.41 .74 2.5 21 88 2.48 2.01 .42 1.44 3.08 1.1 2.31 434
2 12.08 1.39 2.5 22.5 84 2.56 2.29 .43 1.04 2.9 .93 3.19 385
2 11.03 1.51 2.2 21.5 85 2.46 2.17 .52 2.01 1.9 1.71 2.87 407
2 11.82 1.47 1.99 20.8 86 1.98 1.6 .3 1.53 1.95 .95 3.33 495
2 12.42 1.61 2.19 22.5 108 2 2.09 .34 1.61 2.06 1.06 2.96 345
2 12.77 3.43 1.98 16 80 1.63 1.25 .43 .83 3.4 .7 2.12 372
2 12 3.43 2 19 87 2 1.64 .37 1.87 1.28 .93 3.05 564
2 11.45 2.4 2.42 20 96 2.9 2.79 .32 1.83 3.25 .8 3.39 625
2 11.56 2.05 3.23 28.5 119 3.18 5.08 .47 1.87 6 .93 3.69 465
2 12.42 4.43 2.73 26.5 102 2.2 2.13 .43 1.71 2.08 .92 3.12 365
2 13.05 5.8 2.13 21.5 86 2.62 2.65 .3 2.01 2.6 .73 3.1 380
2 11.87 4.31 2.39 21 82 2.86 3.03 .21 2.91 2.8 .75 3.64 380
2 12.07 2.16 2.17 21 85 2.6 2.65 .37 1.35 2.76 .86 3.28 378
2 12.43 1.53 2.29 21.5 86 2.74 3.15 .39 1.77 3.94 .69 2.84 352
2 11.79 2.13 2.78 28.5 92 2.13 2.24 .58 1.76 3 .97 2.44 466
2 12.37 1.63 2.3 24.5 88 2.22 2.45 .4 1.9 2.12 .89 2.78 342
2 12.04 4.3 2.38 22 80 2.1 1.75 .42 1.35 2.6 .79 2.57 580
3 12.86 1.35 2.32 18 122 1.51 1.25 .21 .94 4.1 .76 1.29 630
3 12.88 2.99 2.4 20 104 1.3 1.22 .24 .83 5.4 .74 1.42 530
3 12.81 2.31 2.4 24 98 1.15 1.09 .27 .83 5.7 .66 1.36 560
3 12.7 3.55 2.36 21.5 106 1.7 1.2 .17 .84 5 .78 1.29 600
3 12.51 1.24 2.25 17.5 85 2 .58 .6 1.25 5.45 .75 1.51 650
3 12.6 2.46 2.2 18.5 94 1.62 .66 .63 .94 7.1 .73 1.58 695
3 12.25 4.72 2.54 21 89 1.38 .47 .53 .8 3.85 .75 1.27 720
3 12.53 5.51 2.64 25 96 1.79 .6 .63 1.1 5 .82 1.69 515
3 13.49 3.59 2.19 19.5 88 1.62 .48 .58 .88 5.7 .81 1.82 580
3 12.84 2.96 2.61 24 101 2.32 .6 .53 .81 4.92 .89 2.15 590
3 12.93 2.81 2.7 21 96 1.54 .5 .53 .75 4.6 .77 2.31 600
3 13.36 2.56 2.35 20 89 1.4 .5 .37 .64 5.6 .7 2.47 780
3 13.52 3.17 2.72 23.5 97 1.55 .52 .5 .55 4.35 .89 2.06 520
3 13.62 4.95 2.35 20 92 2 .8 .47 1.02 4.4 .91 2.05 550
3 12.25 3.88 2.2 18.5 112 1.38 .78 .29 1.14 8.21 .65 2 855
3 13.16 3.57 2.15 21 102 1.5 .55 .43 1.3 4 .6 1.68 830
3 13.88 5.04 2.23 20 80 .98 .34 .4 .68 4.9 .58 1.33 415
3 12.87 4.61 2.48 21.5 86 1.7 .65 .47 .86 7.65 .54 1.86 625
3 13.32 3.24 2.38 21.5 92 1.93 .76 .45 1.25 8.42 .55 1.62 650
3 13.08 3.9 2.36 21.5 113 1.41 1.39 .34 1.14 9.40 .57 1.33 550
3 13.5 3.12 2.62 24 123 1.4 1.57 .22 1.25 8.60 .59 1.3 500
3 12.79 2.67 2.48 22 112 1.48 1.36 .24 1.26 10.8 .48 1.47 480
3 13.11 1.9 2.75 25.5 116 2.2 1.28 .26 1.56 7.1 .61 1.33 425
3 13.23 3.3 2.28 18.5 98 1.8 .83 .61 1.87 10.52 .56 1.51 675
3 12.58 1.29 2.1 20 103 1.48 .58 .53 1.4 7.6 .58 1.55 640
3 13.17 5.19 2.32 22 93 1.74 .63 .61 1.55 7.9 .6 1.48 725
3 13.84 4.12 2.38 19.5 89 1.8 .83 .48 1.56 9.01 .57 1.64 480
3 12.45 3.03 2.64 27 97 1.9 .58 .63 1.14 7.5 .67 1.73 880
3 14.34 1.68 2.7 25 98 2.8 1.31 .53 2.7 13 .57 1.96 660
3 13.48 1.67 2.64 22.5 89 2.6 1.1 .52 2.29 11.75 .57 1.78 620
3 12.36 3.83 2.38 21 88 2.3 .92 .5 1.04 7.65 .56 1.58 520
3 13.69 3.26 2.54 20 107 1.83 .56 .5 .8 5.88 .96 1.82 680
3 12.85 3.27 2.58 22 106 1.65 .6 .6 .96 5.58 .87 2.11 570
3 12.96 3.45 2.35 18.5 106 1.39 .7 .4 .94 5.28 .68 1.75 675
3 13.78 2.76 2.3 22 90 1.35 .68 .41 1.03 9.58 .7 1.68 615
3 13.73 4.36 2.26 22.5 88 1.28 .47 .52 1.15 6.62 .78 1.75 520
3 13.45 3.7 2.6 23 111 1.7 .92 .43 1.46 10.68 .85 1.56 695
3 12.82 3.37 2.3 19.5 88 1.48 .66 .4 .97 10.26 .72 1.75 685
3 13.58 2.58 2.69 24.5 105 1.55 .84 .39 1.54 8.66 .74 1.8 750
3 13.4 4.6 2.86 25 112 1.98 .96 .27 1.11 8.5 .67 1.92 630
3 12.2 3.03 2.32 19 96 1.25 .49 .4 .73 5.5 .66 1.83 510
3 12.77 2.39 2.28 19.5 86 1.39 .51 .48 .64 9.899999 .57 1.63 470
3 14.16 2.51 2.48 20 91 1.68 .7 .44 1.24 9.7 .62 1.71 660
3 13.71 5.65 2.45 20.5 95 1.68 .61 .52 1.06 7.7 .64 1.74 740
3 13.4 3.91 2.48 23 102 1.8 .75 .43 1.41 7.3 .7 1.56 750
3 13.27 4.28 2.26 20 120 1.59 .69 .43 1.35 10.2 .59 1.56 835
3 13.17 2.59 2.37 20 120 1.65 .68 .53 1.46 9.3 .6 1.62 840
3 14.13 4.1 2.74 24.5 96 2.05 .76 .56 1.35 9.2 .61 1.6 560
@anammagalhaes

anammagalhaes commented Jun 25, 2020

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Hi how are you?
Where can I find the reference for this study?

Your works are great.

thanks

@tijptjik

tijptjik commented Jun 26, 2020

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Bon dia @anammagalhaes - The dataset is a mirror of the UCI Wine quality dataset. Enjoy :)

@anirban9069

anirban9069 commented Dec 13, 2020

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Where will i find a solution to this?

@tijptjik

tijptjik commented Dec 14, 2020

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Where will i find a solution to this?

You'll find many example implementations online is you google for UCI wine + language or tool of your choice, for example here's one which uses Python and sklearn

@Jorabekasqarov

Jorabekasqarov commented Nov 11, 2022

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very well

@Jorabekasqarov

Jorabekasqarov commented Nov 11, 2022

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I also need a wine dataset, how can I get it

@SHIVAM-MANDHAN

SHIVAM-MANDHAN commented May 10, 2023

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can anyone explain the target column? what does wine 1, 2 & 3 mean?

@tijptjik

tijptjik commented May 17, 2023

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can anyone explain the target column? what does wine 1, 2 & 3 mean?

This dataset is the results of a chemical analysis of wines grown in the same region in Italy but derived from three different cultivars (varieties). So the target column, indicates which variety of wine the chemical analysis was performed on.

The original paper this dataset was taken from is

S. Aeberhard, D. Coomans and O. de Vel,
Comparison of Classifiers in High Dimensional Settings,
Tech. Rep. no. 92-02, (1992), Dept. of Computer Science and Dept. of
Mathematics and Statistics, James Cook University of North Queensland.

so if you really want to know specifically which cultivars were used, perhaps that paper has the answer :)

@Akashpandey237

Akashpandey237 commented Aug 11, 2023

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here we do not have target variable

@naghim

naghim commented Nov 17, 2023

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here we do not have target variable

The target variable is the first column named "Wine". There are 3 classes in the dataset - 1, 2, 3.

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