How to Identify comman pattern of the Products that sells more from a sales data base

Question

I have a sales dataset of a product having the different attributes ( say for example a product from JEWELRY PRODUCTS)  sku/wt/size etc. How can I analyze to get a similar/common pattern of the products that sell more? so that I can tag to designing /Manufacturing team " these attributes/groups are the highest demand".  How to this analysis using R.

Answer 1

Hi,

If you share a real database, then it will help us to give you a good picture. But still, according to your query, it seems very simple. From your dataset find the frequency of each field. The field which has more frequency means you have more clients on those products.