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Myntra Fashion Product Catalogue
Fashion & Apparel Trends
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About
This dataset features a product catalogue from Myntra.com, a prominent Indian fashion e-commerce company. It encompasses 12,000 fashion clothing products, providing detailed information suitable for various analytical and machine learning applications. Myntra, founded in 2007 and acquired by Flipkart in 2014, is headquartered in Bengaluru, Karnataka, India. The dataset's purpose is to offer a rich resource for understanding e-commerce fashion trends, product characteristics, and pricing dynamics.
Columns
- ProductID: A unique identifier for each product.
- ProductName: The name given to the product.
- ProductBrand: The brand associated with the product.
- Gender: Specifies the intended gender for the product (e.g., Women, Men).
- Price (INR): The product's price, stated in Indian Rupees.
- NumImages: The total number of images available for the product.
- Description: A detailed textual description of the product.
- PrimaryColor: The main colour category of the product.
Distribution
The dataset is provided as a CSV file named
myntra_products_catalog.csv, with a file size of 3.16 MB. It contains 12,500 records (rows) and comprises 8 distinct columns. All columns have 100% valid entries, with the exception of 'PrimaryColor', which has 93% valid entries, indicating some missing values for colour information.Usage
This dataset is ideal for:
- Identifying the most expensive products within various categories.
- Developing and training content-based recommendation engines for fashion products.
- Analysing trends to determine the most common colours that influence product pricing.
- Market research and competitive analysis in the e-commerce fashion sector.
Coverage
The dataset's geographic scope primarily focuses on the Indian market, given that Myntra.com is an Indian e-commerce company. Time range for data collection is not specified for this particular release, but updates are expected quarterly. The dataset includes demographic coverage by gender, with products categorised for Women and Men, alongside an 'Other' category.
License
CC0: Public Domain
Who Can Use It
- Data Scientists and Machine Learning Engineers: For building and refining recommendation systems, price prediction models, and product classification.
- E-commerce Analysts: To gain insights into product performance, pricing strategies, and inventory management.
- Market Researchers: For understanding fashion trends, consumer preferences, and competitive landscapes in the Indian e-commerce space.
- Academics and Students: For research projects and learning about real-world e-commerce data.
Dataset Name Suggestions
- Myntra Fashion Product Catalogue
- Indian E-commerce Clothing Dataset
- Myntra Products Data
- Fashion Retail Product Insights
Attributes
Original Data Source: Myntra Fashion Product Catalogue
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