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wine-clustering

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Alcohol
float64
11
14.8
Malic_Acid
float64
0.74
5.8
Ash
float64
1.36
3.23
Ash_Alcanity
float64
10.6
30
Magnesium
int64
70
162
Total_Phenols
float64
0.98
3.88
Flavanoids
float64
0.34
5.08
Nonflavanoid_Phenols
float64
0.13
0.66
Proanthocyanins
float64
0.41
3.58
Color_Intensity
float64
1.28
13
Hue
float64
0.48
1.71
OD280
float64
1.27
4
Proline
int64
278
1.68k
14.23
1.71
2.43
15.6
127
2.8
3.06
0.28
2.29
5.64
1.04
3.92
1,065
13.2
1.78
2.14
11.2
100
2.65
2.76
0.26
1.28
4.38
1.05
3.4
1,050
13.16
2.36
2.67
18.6
101
2.8
3.24
0.3
2.81
5.68
1.03
3.17
1,185
14.37
1.95
2.5
16.8
113
3.85
3.49
0.24
2.18
7.8
0.86
3.45
1,480
13.24
2.59
2.87
21
118
2.8
2.69
0.39
1.82
4.32
1.04
2.93
735
14.2
1.76
2.45
15.2
112
3.27
3.39
0.34
1.97
6.75
1.05
2.85
1,450
14.39
1.87
2.45
14.6
96
2.5
2.52
0.3
1.98
5.25
1.02
3.58
1,290
14.06
2.15
2.61
17.6
121
2.6
2.51
0.31
1.25
5.05
1.06
3.58
1,295
14.83
1.64
2.17
14
97
2.8
2.98
0.29
1.98
5.2
1.08
2.85
1,045
13.86
1.35
2.27
16
98
2.98
3.15
0.22
1.85
7.22
1.01
3.55
1,045
14.1
2.16
2.3
18
105
2.95
3.32
0.22
2.38
5.75
1.25
3.17
1,510
14.12
1.48
2.32
16.8
95
2.2
2.43
0.26
1.57
5
1.17
2.82
1,280
13.75
1.73
2.41
16
89
2.6
2.76
0.29
1.81
5.6
1.15
2.9
1,320
14.75
1.73
2.39
11.4
91
3.1
3.69
0.43
2.81
5.4
1.25
2.73
1,150
14.38
1.87
2.38
12
102
3.3
3.64
0.29
2.96
7.5
1.2
3
1,547
13.63
1.81
2.7
17.2
112
2.85
2.91
0.3
1.46
7.3
1.28
2.88
1,310
14.3
1.92
2.72
20
120
2.8
3.14
0.33
1.97
6.2
1.07
2.65
1,280
13.83
1.57
2.62
20
115
2.95
3.4
0.4
1.72
6.6
1.13
2.57
1,130
14.19
1.59
2.48
16.5
108
3.3
3.93
0.32
1.86
8.7
1.23
2.82
1,680
13.64
3.1
2.56
15.2
116
2.7
3.03
0.17
1.66
5.1
0.96
3.36
845
14.06
1.63
2.28
16
126
3
3.17
0.24
2.1
5.65
1.09
3.71
780
12.93
3.8
2.65
18.6
102
2.41
2.41
0.25
1.98
4.5
1.03
3.52
770
13.71
1.86
2.36
16.6
101
2.61
2.88
0.27
1.69
3.8
1.11
4
1,035
12.85
1.6
2.52
17.8
95
2.48
2.37
0.26
1.46
3.93
1.09
3.63
1,015
13.5
1.81
2.61
20
96
2.53
2.61
0.28
1.66
3.52
1.12
3.82
845
13.05
2.05
3.22
25
124
2.63
2.68
0.47
1.92
3.58
1.13
3.2
830
13.39
1.77
2.62
16.1
93
2.85
2.94
0.34
1.45
4.8
0.92
3.22
1,195
13.3
1.72
2.14
17
94
2.4
2.19
0.27
1.35
3.95
1.02
2.77
1,285
13.87
1.9
2.8
19.4
107
2.95
2.97
0.37
1.76
4.5
1.25
3.4
915
14.02
1.68
2.21
16
96
2.65
2.33
0.26
1.98
4.7
1.04
3.59
1,035
13.73
1.5
2.7
22.5
101
3
3.25
0.29
2.38
5.7
1.19
2.71
1,285
13.58
1.66
2.36
19.1
106
2.86
3.19
0.22
1.95
6.9
1.09
2.88
1,515
13.68
1.83
2.36
17.2
104
2.42
2.69
0.42
1.97
3.84
1.23
2.87
990
13.76
1.53
2.7
19.5
132
2.95
2.74
0.5
1.35
5.4
1.25
3
1,235
13.51
1.8
2.65
19
110
2.35
2.53
0.29
1.54
4.2
1.1
2.87
1,095
13.48
1.81
2.41
20.5
100
2.7
2.98
0.26
1.86
5.1
1.04
3.47
920
13.28
1.64
2.84
15.5
110
2.6
2.68
0.34
1.36
4.6
1.09
2.78
880
13.05
1.65
2.55
18
98
2.45
2.43
0.29
1.44
4.25
1.12
2.51
1,105
13.07
1.5
2.1
15.5
98
2.4
2.64
0.28
1.37
3.7
1.18
2.69
1,020
14.22
3.99
2.51
13.2
128
3
3.04
0.2
2.08
5.1
0.89
3.53
760
13.56
1.71
2.31
16.2
117
3.15
3.29
0.34
2.34
6.13
0.95
3.38
795
13.41
3.84
2.12
18.8
90
2.45
2.68
0.27
1.48
4.28
0.91
3
1,035
13.88
1.89
2.59
15
101
3.25
3.56
0.17
1.7
5.43
0.88
3.56
1,095
13.24
3.98
2.29
17.5
103
2.64
2.63
0.32
1.66
4.36
0.82
3
680
13.05
1.77
2.1
17
107
3
3
0.28
2.03
5.04
0.88
3.35
885
14.21
4.04
2.44
18.9
111
2.85
2.65
0.3
1.25
5.24
0.87
3.33
1,080
14.38
3.59
2.28
16
102
3.25
3.17
0.27
2.19
4.9
1.04
3.44
1,065
13.9
1.68
2.12
16
101
3.1
3.39
0.21
2.14
6.1
0.91
3.33
985
14.1
2.02
2.4
18.8
103
2.75
2.92
0.32
2.38
6.2
1.07
2.75
1,060
13.94
1.73
2.27
17.4
108
2.88
3.54
0.32
2.08
8.9
1.12
3.1
1,260
13.05
1.73
2.04
12.4
92
2.72
3.27
0.17
2.91
7.2
1.12
2.91
1,150
13.83
1.65
2.6
17.2
94
2.45
2.99
0.22
2.29
5.6
1.24
3.37
1,265
13.82
1.75
2.42
14
111
3.88
3.74
0.32
1.87
7.05
1.01
3.26
1,190
13.77
1.9
2.68
17.1
115
3
2.79
0.39
1.68
6.3
1.13
2.93
1,375
13.74
1.67
2.25
16.4
118
2.6
2.9
0.21
1.62
5.85
0.92
3.2
1,060
13.56
1.73
2.46
20.5
116
2.96
2.78
0.2
2.45
6.25
0.98
3.03
1,120
14.22
1.7
2.3
16.3
118
3.2
3
0.26
2.03
6.38
0.94
3.31
970
13.29
1.97
2.68
16.8
102
3
3.23
0.31
1.66
6
1.07
2.84
1,270
13.72
1.43
2.5
16.7
108
3.4
3.67
0.19
2.04
6.8
0.89
2.87
1,285
12.37
0.94
1.36
10.6
88
1.98
0.57
0.28
0.42
1.95
1.05
1.82
520
12.33
1.1
2.28
16
101
2.05
1.09
0.63
0.41
3.27
1.25
1.67
680
12.64
1.36
2.02
16.8
100
2.02
1.41
0.53
0.62
5.75
0.98
1.59
450
13.67
1.25
1.92
18
94
2.1
1.79
0.32
0.73
3.8
1.23
2.46
630
12.37
1.13
2.16
19
87
3.5
3.1
0.19
1.87
4.45
1.22
2.87
420
12.17
1.45
2.53
19
104
1.89
1.75
0.45
1.03
2.95
1.45
2.23
355
12.37
1.21
2.56
18.1
98
2.42
2.65
0.37
2.08
4.6
1.19
2.3
678
13.11
1.01
1.7
15
78
2.98
3.18
0.26
2.28
5.3
1.12
3.18
502
12.37
1.17
1.92
19.6
78
2.11
2
0.27
1.04
4.68
1.12
3.48
510
13.34
0.94
2.36
17
110
2.53
1.3
0.55
0.42
3.17
1.02
1.93
750
12.21
1.19
1.75
16.8
151
1.85
1.28
0.14
2.5
2.85
1.28
3.07
718
12.29
1.61
2.21
20.4
103
1.1
1.02
0.37
1.46
3.05
0.906
1.82
870
13.86
1.51
2.67
25
86
2.95
2.86
0.21
1.87
3.38
1.36
3.16
410
13.49
1.66
2.24
24
87
1.88
1.84
0.27
1.03
3.74
0.98
2.78
472
12.99
1.67
2.6
30
139
3.3
2.89
0.21
1.96
3.35
1.31
3.5
985
11.96
1.09
2.3
21
101
3.38
2.14
0.13
1.65
3.21
0.99
3.13
886
11.66
1.88
1.92
16
97
1.61
1.57
0.34
1.15
3.8
1.23
2.14
428
13.03
0.9
1.71
16
86
1.95
2.03
0.24
1.46
4.6
1.19
2.48
392
11.84
2.89
2.23
18
112
1.72
1.32
0.43
0.95
2.65
0.96
2.52
500
12.33
0.99
1.95
14.8
136
1.9
1.85
0.35
2.76
3.4
1.06
2.31
750
12.7
3.87
2.4
23
101
2.83
2.55
0.43
1.95
2.57
1.19
3.13
463
12
0.92
2
19
86
2.42
2.26
0.3
1.43
2.5
1.38
3.12
278
12.72
1.81
2.2
18.8
86
2.2
2.53
0.26
1.77
3.9
1.16
3.14
714
12.08
1.13
2.51
24
78
2
1.58
0.4
1.4
2.2
1.31
2.72
630
13.05
3.86
2.32
22.5
85
1.65
1.59
0.61
1.62
4.8
0.84
2.01
515
11.84
0.89
2.58
18
94
2.2
2.21
0.22
2.35
3.05
0.79
3.08
520
12.67
0.98
2.24
18
99
2.2
1.94
0.3
1.46
2.62
1.23
3.16
450
12.16
1.61
2.31
22.8
90
1.78
1.69
0.43
1.56
2.45
1.33
2.26
495
11.65
1.67
2.62
26
88
1.92
1.61
0.4
1.34
2.6
1.36
3.21
562
11.64
2.06
2.46
21.6
84
1.95
1.69
0.48
1.35
2.8
1
2.75
680
12.08
1.33
2.3
23.6
70
2.2
1.59
0.42
1.38
1.74
1.07
3.21
625
12.08
1.83
2.32
18.5
81
1.6
1.5
0.52
1.64
2.4
1.08
2.27
480
12
1.51
2.42
22
86
1.45
1.25
0.5
1.63
3.6
1.05
2.65
450
12.69
1.53
2.26
20.7
80
1.38
1.46
0.58
1.62
3.05
0.96
2.06
495
12.29
2.83
2.22
18
88
2.45
2.25
0.25
1.99
2.15
1.15
3.3
290
11.62
1.99
2.28
18
98
3.02
2.26
0.17
1.35
3.25
1.16
2.96
345
12.47
1.52
2.2
19
162
2.5
2.27
0.32
3.28
2.6
1.16
2.63
937
11.81
2.12
2.74
21.5
134
1.6
0.99
0.14
1.56
2.5
0.95
2.26
625
12.29
1.41
1.98
16
85
2.55
2.5
0.29
1.77
2.9
1.23
2.74
428
12.37
1.07
2.1
18.5
88
3.52
3.75
0.24
1.95
4.5
1.04
2.77
660
12.29
3.17
2.21
18
88
2.85
2.99
0.45
2.81
2.3
1.42
2.83
406
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Wine Clustering Dataset

Overview

The Wine Clustering Dataset contains data on various chemical properties of wines, intended for use in clustering tasks. This dataset is ideal for exploring clustering algorithms such as K-Means, hierarchical clustering, and others, to group wines based on their chemical composition.

Dataset Structure

The dataset is provided as a single CSV file named wine-clustering.csv. It contains 178 entries, each representing a unique wine sample. The dataset includes the following columns:

Columns

  1. Alcohol: The alcohol content of the wine (float).
  2. Malic_Acid: The amount of malic acid in the wine (float).
  3. Ash: The ash content in the wine (float).
  4. Ash_Alcanity: The alkalinity of the ash in the wine (float).
  5. Magnesium: The magnesium content in the wine (integer).
  6. Total_Phenols: The total phenols present in the wine (float).
  7. Flavanoids: The amount of flavanoids in the wine (float).
  8. Nonflavanoid_Phenols: The amount of non-flavanoid phenols in the wine (float).
  9. Proanthocyanins: The amount of proanthocyanins in the wine (float).
  10. Color_Intensity: The intensity of the color of the wine (float).
  11. Hue: The hue of the wine (float).
  12. OD280: The OD280/OD315 of diluted wines (float).
  13. Proline: The amount of proline in the wine (integer).

Summary Statistics

Below are the summary statistics for the dataset:

  • Alcohol: Ranges from 11.03 to 14.83, with a mean of 13.00.
  • Malic_Acid: Ranges from 0.74 to 5.80, with a mean of 2.34.
  • Ash: Ranges from 1.36 to 3.23, with a mean of 2.37.
  • Ash_Alcanity: Ranges from 10.60 to 30.00, with a mean of 19.49.
  • Magnesium: Ranges from 70 to 162, with a mean of 99.74.
  • Total_Phenols: Ranges from 0.98 to 3.88, with a mean of 2.30.
  • Flavanoids: Ranges from 0.34 to 5.08, with a mean of 2.03.
  • Nonflavanoid_Phenols: Ranges from 0.13 to 0.66, with a mean of 0.36.
  • Proanthocyanins: Ranges from 0.41 to 3.58, with a mean of 1.59.
  • Color_Intensity: Ranges from 1.28 to 13.00, with a mean of 5.06.
  • Hue: Ranges from 0.48 to 1.71, with a mean of 0.96.
  • OD280: Ranges from 1.27 to 4.00, with a mean of 2.61.
  • Proline: Ranges from 278 to 1680, with a mean of 746.89.

Usage

This dataset is suitable for unsupervised learning tasks, particularly clustering. Researchers and data scientists can use this dataset to test and benchmark various clustering algorithms, profile different clusters of wines, and explore the relationships between the chemical properties of the wines.

Example Use Cases

  • K-Means Clustering: Grouping wines into clusters based on their chemical properties.
  • Hierarchical Clustering: Creating a dendrogram to visualize the similarity between different wine samples.
  • Dimensionality Reduction: Using PCA to reduce the dimensionality of the dataset and visualize clusters in 2D or 3D space.
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Size of downloaded dataset files:
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Size of the auto-converted Parquet files:
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Number of rows:
178