BigBasket E-commerce Data
E-commerce & Online Transactions
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About
This dataset features products listed on the website of BigBasket, an Indian online grocery delivery service. Registered as Supermarket Grocery Supplies Pvt. Ltd., BigBasket was established in December 2011 with its headquarters in Bengaluru, India. The company specialises in delivering a wide array of grocery goods typically found in convenience stores, home essentials, and food supplies to its customers. The dataset offers valuable insights into the product offerings of a leading e-commerce grocery platform in India.
Columns
- ProductName: The name of the product. There are 6,769 unique product names among 8,208 valid entries, with "Tea" being the most common.
- Brand: The brand associated with the product. This column contains 842 unique brands across 8,208 valid entries. "Fresho" and "BB Royal" are the most frequent brands, representing 6% and 5% of the entries, respectively.
- Price: The original listed price of the product. All 8,208 entries are valid, with prices ranging from 190 to 10,140. The average price is 545, with a standard deviation of 665. Most products (7,259) are priced between 5.00 and 1018.50.
- DiscountPrice: The discounted selling price of the product. All 8,208 entries are valid, with discounted prices ranging from 129 to 7,610. The average discounted price is 357, with a standard deviation of 438. A large majority of products (7,477) have discounted prices between 3.00 and 763.20.
- Image_Url: The URL for the cover photo of the product. There are 8,202 unique image URLs out of 8,208 valid entries.
- Quantity: Details the quantity in which the product is sold, which could be a weight, number of items, or a combination. There are 781 unique quantity descriptions among 8,208 valid entries. "1 pc" (10%) and "500 g" (5%) are the most common quantities.
- Category: The main category to which the product belongs. This column has 11 unique categories for all 8,208 valid entries. "Beauty & Hygiene" is the most prevalent category at 46%, followed by "Kitchen, Garden & Pets" at 16%.
- SubCategory: The specific subsection of the product's main category. There are 334 unique subcategories across all 8,208 valid entries. "Face Care" (10%) and "Supplements & Proteins" (3%) are the most common subcategories.
- Absolute_Url: The direct URL to the product listing on the BigBasket website. There are 8,208 unique URLs, with all entries being valid. An example URL is
https://www.bigbasket.com/pd/40075537/fresho-onion-2-kg/
.
Distribution
The dataset is provided in a CSV format, with the file size being 2.71 MB. It consists of 9 columns and 8,208 records, with all listed columns containing valid and complete data. The dataset is expected to be updated annually.
Usage
This dataset is ideal for:
- Data Analytics: Analysing product trends, pricing strategies, and category performance.
- Data Visualisation: Creating visual representations of BigBasket's product catalogue, brand distribution, and discount effectiveness.
- Exploratory Data Analysis: Discovering patterns and anomalies within online grocery product data.
- Market Research: Understanding product offerings and pricing structures in the Indian online grocery market.
- E-commerce Strategy: Gaining insights into product categorisation and quantity packaging.
Coverage
The dataset primarily covers products offered by BigBasket, an online grocery service operating in India, with its headquarters in Bengaluru. BigBasket was founded in December 2011, and the dataset is anticipated to receive annual updates, reflecting ongoing product availability.
License
CC0: Public Domain
Who Can Use It
- Data Analysts: To identify market trends, pricing insights, and popular product categories.
- E-commerce Businesses: For competitive analysis, understanding product diversification, and optimising catalogue management.
- Academic Researchers: For studies on consumer behaviour, online retail, and the Indian market.
- Students: For learning and applying data analysis, visualisation, and data science techniques.
Dataset Name Suggestions
- BigBasket Products Inventory
- Indian Online Grocery Catalogue
- BigBasket E-commerce Data
- Product Listings from BigBasket
- Grocery Retail Product Data (India)
Attributes
Original Data Source: BigBasket E-commerce Data