Table 4. Description of the most influencing qualitative variables in the selection of clusters of a hierarchical cluster analysis.
| Variable | Variable outcome | % of the sample in the cluster (1) | % of category in cluster (2) | % of category in sample (3) |
|---|---|---|---|---|
| CLUSTER 1 | ||||
| Region | SZS | 93.5 | 100 | 26.7 |
| Size farm origin | Small (1–5) | 49.1 | 93.1 | 47.4 |
| Local breed | Yes | 38.8 | 89.7 | 57.8 |
| Origin customer | Another municipality/region | 100 | 17.24 | 4.31 |
| CLUSTER 2 | ||||
| Region | SJ | 100 | 10.3 | 21.5 |
| Buy live piglets | No | 64.2 | 98.4 | 81.9 |
| Region | Kakheti | 90 | 43.5 | 25.9 |
| Origin customer | Same village | 69.1 | 75.8 | 58.6 |
| CLUSTER 3 | ||||
| Buy live piglets | Yes | 85.7 | 72 | 18.1 |
| Region | SK | 70 | 84 | 25.9 |
| Origin customer | Sparse | 59.3 | 64 | 23.2 |
| Local breed | No | 42.9 | 84 | 42.2 |
| Size farm origin | Medium (>5) | 72.7 | 32 | 9.5 |
1. Percentage of the sample in the cluster = % of individuals with the variable outcome in the study population who are in the cluster;
2. Percentage of category in cluster = % of individuals in the cluster with the variable outcome;
3. Percentage of category in sample = % of the variable in the study population.