##Context## This dataset contains product listings from Vestiaire, an online marketplace for buying and selling pre-owned luxury fashion items. It was scraped using Python and the Hrequests Library. The CSV file contains approximately 900k rows and 36 columns.

##Inspiration## Trend Analysis: Investigate current trends in second-hand luxury fashion, such as brands, product types, and item pricing, to gain a deeper understanding of the current market trends. Geographical Analysis: Analyze which countries are the most active in terms of both buyers and sellers on Vestiaire Collective. Look for trends in user demographics, such as regions with a high concentration of second-hand luxury fashion. Item Price Prediction: Utilize machine learning algorithms to predict the price of listed items based on various available features.