H&M Sports Apparel Data Set(9k+)

The H&M Sports Apparel Data Set is a comprehensive dataset of H&M sports apparel. The data set includes product information, prices, and reviews. It is a valuable resource for anyone who is interested in sports apparel, whether you are a shopper, a researcher, or a data scientist.

The data set contains over 10,000 products, including clothing, shoes, and accessories. Each product is described in detail, including the product name, product description, product image, product price, and product reviews. The product reviews are particularly valuable, as they provide insights into the quality and value of the products.

The data set is also organized by sport, so you can easily find the products that you are interested in. For example, if you are looking for running shoes, you can simply filter the data set by the "Running" sport.

The H&M Sports Apparel Data Set is a valuable resource for anyone who is interested in sports apparel. It is a comprehensive and well-organized data set that includes product information, prices, and reviews. The data set can be used for a variety of purposes, including shopping, research, and data science.

Here are some of the ways that the data set can be used:

• Shopping: The data set can be used to find the best deals on sports apparel. You can filter the data set by price, sport, and other criteria to find the perfect products for your needs.
• Research: The data set can be used to research trends in sports apparel. You can analyze the data to see which products are popular, which products are getting good reviews, and which products are on sale.
• Data science: The data set can be used to build models that predict the demand for sports apparel. You can use the data to predict which products will be popular, which products will be profitable, and which products will be discontinued.

The H&M Sports Apparel Data Set is a valuable resource for anyone who is interested in sports apparel. It is a comprehensive and well-organized data set that includes product information, prices, and reviews. The data set can be used for a variety of purposes, including shopping, research, and data science.