Data driven marketing.Explore the Asos e-com range

The aim of this study is to analyze the data from the Asos E-Commerce Dataset, which contains information on over 30,000 clothing items collected from the Asos website using web scraping. This dataset is a text classification dataset and can be applied in e-commerce analytics in the fashion industry. It is similar to the SheIn E-Commerce Dataset For each item in the dataset, the following attributes have been extracted: url: link to the item on the website; name: item's name; size: sizes available on the website; category: product's category; price: item's price; color: item's color; SKU: unique identifier of the item; date: date of web scraping, for all items - March 11, 2023; description: additional description, including the product's brand, composition, and care instructions, in JSON format; images: photographs from the item description; The aim of this study is to conduct data analysis, visualize key characteristics, build machine learning models to forecast demand for products, and identify the most important factors influencing demand The next steps include data analysis, machine learning model building, and conclusions based on the research findings