This dataset is compiled from 28 different data sources (online stores), with diverse formats that have been standardized into a unified structure. It's an excellent resource for practicing data cleansing techniques or refreshing your data cleaning skills. Once cleaned, the dataset can also be used for uncovering valuable insights.

METADATA:⬇️

• store_name: Name of store which product belong to.
• product_link: Link of the product in website
• product_category: Product category one of ('perfumes', 'freshener', 'cosmetic', 'body care', 'cosmetics')
• product_name: Product name in the website
• product_price: Price as mentioned in the website
• discounted_price: if the product on sale, here will be the new price
• product_description: As mentioned in the website
• gender: Male, female or unisex
• 'info1', 'info2’: General information
• extracted_link: Product image
• extracted_date: Date which data has been extracted

I can't wait to see your insights😍