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BigBasket Retail Product Dataset
E-commerce & Online Transactions
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Free
About
This dataset offers a detailed analysis of products listed on BigBasket, India's largest online grocery supermarket [1, 2]. Launched around 2011, BigBasket has maintained its position despite new competitors like Blinkit, thanks to an expanding customer base and a shift towards online purchasing [2]. The dataset contains product information crucial for understanding e-commerce product performance, including details such as product title, category, subcategory, brand, prices, and consumer ratings [1, 3-8]. It draws on technologies common in e-commerce, such as supply chain management, Internet marketing, and inventory management systems [1].
Columns
- index: A simple numerical index for each data point [9].
- product: The title of the product as listed on the site [3]. Contains 23,541 unique values [3].
- category: The main classification of the product, such as "Beauty & Hygiene" (29% of products) or "Gourmet & World Food" (17% of products) [4]. There are 11 unique categories [4].
- sub_category: A more specific classification of the product, such as "Skin Care" (8% of products) or "Health & Medicine" (4% of products) [4]. There are 90 unique subcategories [4].
- brand: The brand name of the product, with "Fresho" and "bb Royal" being among the most common (2% each) [4]. There are 2,313 unique brands [4].
- sale_price: The price at which the product is being sold on the BigBasket site. Prices range from 2.45 to 12,500, with a mean of 323 [5].
- market_price: The standard market price of the product. Prices range from 3 to 12,500, with a mean of 382 [6].
- type: The specific type into which the product falls, such as "Face Care" (5% of products) or "Ayurveda" (2% of products) [7]. There are 426 unique types [7].
- rating: The rating the product has received from consumers, on a scale of 1 to 5. The mean rating is 3.94, with 31% of products missing a rating [8].
- description: A detailed description of the dataset or product [8, 10].
Distribution
The dataset is in a tabular format, likely a CSV file named "BigBasket Products.csv" [2, 9]. It contains approximately 27.6k data points, or records, across 10 columns [1, 3, 9]. All columns have 100% valid data, except for 'product' and 'brand' which have 1 missing value each, and 'description' with 115 missing values [3-8]. Notably, the 'rating' column has a significant number of missing values (8,626 or 31%) [8].
Usage
This dataset is well-suited for a variety of analyses in the e-commerce sector. Potential uses include:
- Product Performance Analysis: Evaluate sales prices, market prices, and consumer ratings to understand how products are performing [1, 5-8].
- Pricing Strategy Optimisation: Analyse price discrepancies between sale and market prices to inform pricing decisions [5, 6].
- Category and Brand Analysis: Investigate the distribution of products across various categories, subcategories, and brands to identify trends or popular segments [3, 4].
- Market Research: Gain insights into the Indian online grocery market, including product diversity and consumer preferences [2-4, 7].
- Recommendation Systems: Utilise product descriptions, categories, and ratings to build or improve product recommendation engines [8].
Coverage
The dataset focuses on products available through BigBasket, which operates as the largest online grocery supermarket in India [2]. There is no specific time range mentioned for the data collection, nor is there demographic information about the consumers explicitly detailed within the provided materials [2].
License
CC BY-NC-SA 4.0
Who Can Use It
- E-commerce Analysts: To conduct market basket analysis, pricing strategy assessments, and inventory management studies [1].
- Data Scientists: For building predictive models related to product sales, rating prediction, or customer behaviour.
- Business Strategists: To identify popular product categories, competitive landscapes, and opportunities for market expansion within the online grocery sector [2].
- Researchers: Studying e-commerce trends, supply chain dynamics, and consumer electronics industry impact on online retail [1].
Dataset Name Suggestions
- BigBasket Product Listing Data
- Indian E-commerce Grocery Products
- BigBasket Retail Product Dataset
- Online Grocery Product Metrics
- BigBasket Product Analysis
Attributes
Original Data Source: [BigBasket Retail Product Dataset](BigBasket Retail Product Dataset)
QUALITY