The data is taken from Saudi SOUQ.com shopping website, specifically the office furniture category. Description of data features: 1) Item_title : the name of the item. 2) Item_price : the price after discount. 3) price_before_discount : the price after discount; any item with '0' fiqure mens that there is no discount on that particular item. 4) rate : is the rate that is done by the customers who used the same product. Questions to be raised while investigating the data: 1) the probabilty of a customer buying a product that has good review with discounted price ? 2) In case of having products that don't reach customers' satisfaction; how can a business owner come up with a product that would increase the probability of a customer being sataisfaied throuh using the data privided.