# Centros dos clusters
print(fifa.groupby('cluster_labels')[['scaled_heading_accuracy',
'scaled_volleys', 'scaled_finishing']].mean())
cluster_labels
scaled_heading_accuracy
scaled_volleys
scaled_finishing
0
3.21
2.83
2.76
1
0.71
0.64
0.58
# Tamanhos dos clusters
print(fifa.groupby('cluster_labels')['ID'].count())
cluster_labels
count
0
886
1
114
Visualizações
Visualizar centros dos clusters
Visualizar outras variáveis por cluster
# Plotar centros dos clusters
fifa.groupby('cluster_labels') \
[scaled_features].mean()
.plot(kind='bar')
plt.show()
Top itens por cluster
# Pegar a coluna name dos 5 melhores de cada cluster
for cluster in fifa['cluster_labels'].unique():
print(cluster, fifa[fifa['cluster_labels'] == cluster]['name'].values[:5])
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