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Makeup Industry Dataset
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Free
About
This dataset offers a detailed exploration of cosmetic products, providing information valuable for understanding the cosmetics industry. It serves as a resource for market research and for gaining insights into product categories and pricing patterns. The data covers various attributes of makeup items, including brand details, pricing, product descriptions, and associated tags.
Columns
- id: A unique identifier for each cosmetic product.
- brand: The brand or manufacturer responsible for the product.
- name: The specific name of the cosmetic product.
- price: The price of the product.
- price_sign: The currency symbol used for the price.
- currency: The currency in which the price is listed.
- image_link: A URL linking to an image of the product.
- product_link: A URL to the product's dedicated page or collection.
- website_link: A URL to the brand's official website.
- description: A textual description of the cosmetic product.
- rating: The product's rating, if available.
- category: The general category to which the cosmetic product belongs.
- product_type: The specific type or form of the cosmetic product.
- tag_list: A collection of tags or attributes associated with the product.
- created_at: The date and time when the product entry was created.
- updated_at: The date and time when the product entry was last updated.
- product_api_url: A URL to the product's API endpoint.
- api_featured_image: A URL to the featured image within the API.
- product_colors: A list of available product colours, including their hex values and names.
Distribution
The dataset is primarily in JSON format, specifically as
makeup_data.json, with a file size of 2.18 MB. The preview provided suggests the full content might be larger and the number of JSON items could be truncated beyond the initial 42 items shown. Each item in the dataset is structured with 19 distinct data points.Usage
This dataset can be used for:
- Brand Analysis: Identifying popular cosmetic brands and market leaders.
- Pricing Insights: Analysing the distribution of prices across different products.
- Product Categories: Determining the most prevalent types of cosmetic products.
- Tag Analysis: Exploring trends related to product attributes, such as "cruelty-free" or "vegan".
- Temporal Trends: Studying how product data evolves over time using creation and update timestamps.
- Colour Trends: Investigating popular colours used in cosmetic products.
Coverage
The dataset's temporal scope includes entries created and updated around June to September 2018. Prices are listed in Canadian Dollars (CAD) and United States Dollars (USD), suggesting a North American market focus. Brands featured include Colourpop, Boosh, Deciem, Zorah Biocosmetiques, W3LLPEOPLE, Sally B's Skin Yummies, Rejuva Minerals, Penny Lane Organics, Nudus, Marienatie, Maia's Mineral Galaxy, Lotus Cosmetics USA, Green People, Coastal Classic Creation, and C'est Moi. While most products target a broad cosmetic user base, some descriptions specifically mention formulations for "Young Delicate Skin Types."
License
CC0: Public Domain
Who Can Use It
- Market Researchers: To conduct studies on cosmetic product trends, pricing, and brand popularity.
- Data Scientists/Analysts: For exploring data patterns, building predictive models, or visualising market insights.
- Cosmetics Brands: To benchmark against competitors and identify market gaps or opportunities.
- Product Developers: To understand current product attributes and popular colour palettes.
- Academics/Students: For research projects on consumer behaviour or industry analysis within the beauty sector.
Dataset Name Suggestions
- Cosmetic Product Listings
- Makeup Industry Dataset
- Beauty Product Attributes
- Cosmetics Product Data Archive
- Global Beauty Product Data
Attributes
Original Data Source: Makeup Industry Dataset
QUALITY