Market statistics

Here you can see the distribution of sales data and other relevant features.

Clusters statistics

Here you can see the distribution of features in each cluster after K-means clustering

Cluster 1 - This group represents customers who buy items in average quantity centered around ~35, they buy medium size and high price items of ~102. They have a high total sales around ~5000.

Cluster 2 - This group represents customers who buy items in varying quantity ~46, they tend to buy items in all price range items. Their sales is bit better than average ~4400, the buy only products from the planes product line.

Cluster 3 (Highest) - This group represents customers who buy items in high quantity centered around ~47, they buy items in all price range leaning towards high price items of ~85. They also correspond to the highest total sales around ~6500 and they are active throughout the year.

Cluster 4 - This group represents customers who buy items in varying quantity ~38, they tend to buy items in all price range items. Their sales is bit better than average ~4800, the buy only products from the ships product line.

Cluster 5 (lowest) - This group represents customers who buy items in low quantity ~25. They tend to buy large and high price items ~90. Their sales ~1500 is lower than other clusters and they are extremely active around holiday season.

Clusters statistics

Here you can see the representation of each cluster based on the PCA dimension reduction using the sales data.