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E-commerce Product Performance Data
E-commerce & Online Transactions
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About
This dataset offers an overview of online sales transactions across various product categories. Each row details a single transaction, including information such as order ID, date, product category, product name, quantity sold, unit price, total price, geographic region, and payment method. It is designed to facilitate the analysis of sales trends, the popularity of products across regions, and the impact of different payment methods on sales. Users can identify top-selling products and evaluate performance to refine marketing and inventory strategies.
Columns
- Order ID: A unique identifier for each sales order.
- Date: The date when the sales transaction occurred. Data ranges from 1st January 2024 to 27th August 2024.
- Category: The broad category of the product sold, such as Electronics, Home Appliances, Clothing, Books, Beauty Products, or Sports. There are 6 unique categories, with Electronics being the most common (17%).
- Product Name: The specific name or model of the product sold. There are 232 unique product names.
- Quantity: The number of units of the product sold within the transaction.
- Unit Price: The price of a single unit of the product.
- Total Price: The total revenue generated from the sales transaction (Quantity multiplied by Unit Price). Total prices range from 6.5 to 3900.
- Region: The geographic region where the transaction took place, such as North America, Europe, or Asia. There are 3 unique regions, with North America being the most common (33%).
- Payment Method: The method used for payment, including Credit Card, PayPal, or other methods. There are 3 unique payment methods, with Credit Card being the most common (50%).
Distribution
The dataset is typically provided as a CSV file, with a size of approximately 21.74 kB. It is structured with 9 columns and contains 240 records or rows, each representing a distinct online sales transaction.
Usage
This dataset is ideal for:
- Analysing sales trends over time to identify seasonal patterns or growth opportunities.
- Exploring the popularity of different product categories across various regions.
- Investigating the impact of payment methods on sales volume or overall revenue.
- Identifying top-selling products within each category to optimise inventory and marketing strategies.
- Evaluating the performance of specific products or categories in different regions to tailor marketing campaigns accordingly.
Coverage
The dataset covers global transactions across various product categories. The geographic scope includes regions such as North America, Europe, and Asia. The time range for the transactions spans from 1st January 2024 to 27th August 2024. There is no specific demographic scope provided within the dataset details.
License
CC0: Public Domain
Who Can Use It
This dataset is valuable for:
- Data Analysts: To perform exploratory data analysis, identify key trends, and create data visualisations.
- E-commerce Businesses: To gain insights into product performance, regional sales, and payment method effectiveness for strategic planning.
- Marketing Professionals: To tailor marketing campaigns based on product popularity, regional preferences, and seasonal sales patterns.
- Business Strategists: To inform inventory optimisation, pricing strategies, and market expansion decisions.
Dataset Name Suggestions
- Global Online Sales Transactions
- E-commerce Product Performance Data
- Marketplace Sales Analysis Dataset
- Retail Transaction Insights 2024
Attributes
Original Data Source: E-commerce Product Performance Data
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