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Retail Sales and Product Re-Purchase Data
Retail & Consumer Behavior
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About
Data originates from a small pet store and details sales activity throughout 2020. The collection tracks vital metrics such as overall sales, customer ratings, and importantly, whether products are bought repeatedly. The resource is designed to support analytical tasks, including modelling for product price prediction and classification tasks, such as determining repeat sales. It provides a basis for exploratory data analysis (EDA) and feature engineering related to pet product retail.
Columns
The material describes 11 features, all of which are 100% valid across 879 records for which statistics are provided:
- product_id: The unique product identifier. Values range from 4172 to 5050, with a mean of 4.61k.
- product_category: The category of the product, featuring 11 unique types. Equipment and Toys are the most frequently recorded categories (16% each).
- sales: The overall sales clocked during 2020. Values range from 3 to 230, with a mean of 116.
- price: The price of the product, recorded in INR. Values range from 27 up to 19.4k INR, with a mean of 9.86k.
- VAP: Short for 'Veterinary Doctor's Approval'. This binary field indicates whether the product requires prior approval for sale (e.g., medicines). The mean value is 0.51, showing a near-equal distribution between required and not required approval.
- vendor_id: The unique Supplier/Vendor ID from which the product was sourced. This column features 879 unique values.
- country: The product's country of origin. There are 9 unique countries listed, with India being the most common (58%).
- pet_size: The size of the pet the product is intended for. There are 5 unique sizes, with small and medium pets accounting for 32% of records each.
- pet_type: The type of pet associated with the product. There are 6 unique types, with cat and dog products each accounting for 39% of records.
- rating: Customers' rating collected from feedback after product use. Ratings range from 1 to 10, with a mean rating of 6.5.
- re_buy: Indicates whether the product was purchased again.
Distribution
The material is stored in a CSV file named
pet_store_records_2020.csv, which is 48.91 kB in size. The dataset includes 879 valid records. Data quality is exceptionally high, as all analyzed fields show 100% validity with zero missing entries. The expected update frequency is annually.Usage
This resource is ideal for data scientists and analysts focusing on retail sales prediction and consumer behaviour modelling. It can be used for exploratory data analysis, feature engineering, and training classification models to predict repeat purchases or price prediction models. Analysts can investigate which product characteristics or customer ratings correlate most strongly with high sales volume or re-purchasing behaviour.
Coverage
The scope covers sales metrics and product information from a pet store throughout the 2020 calendar year. The geographical coverage includes products sourced from 9 countries of origin, primarily India. The material addresses needs for a wide range of pets, including product types intended for cats and dogs.
License
CC0: Public Domain
Who Can Use It
The dataset is intended for users in the fields of machine learning, data science, and retail analytics seeking to perform price prediction, classification, or EDA. It holds a maximum usability rating of 10.00.
Dataset Name Suggestions
- Pet Store Sales and Customer Metrics 2020
- Retail Sales and Product Re-Purchase Data
- Pet Product Price Prediction Set
Attributes
Original Data Source: Retail Sales and Product Re-Purchase Data
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