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Fictional Department Store Sales Data
Retail & Consumer Behavior
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Free
About
This dataset captures daily sales activities conducted by salespeople within a department store, covering a period from 2017 to 2022. Its primary goal is to offer a robust and adaptable foundation for developing skills in data visualisation and manipulation. It is important to note that all data contained here is fictional and has no connection to actual companies. The dataset describes sales by individual salespeople in a retail setting.
Columns
- Seller: The name of the salesperson.
- Department: The department to which the salesperson is assigned.
- Revenue: The revenue generated by the salesperson on a particular day.
- Revenue Goal: The target revenue set for the salesperson for that specific day.
- Margin: The gross profit margin achieved by the salesperson on the given day.
- Margin Goal: The target profit margin set for the salesperson for that specific day.
- Date: The date on which the sales transaction was recorded.
- Sales Quantity: The number of customers who completed a purchase.
- Customers: The total number of customers who were served.
Distribution
The dataset is typically provided in a CSV file format, named
department_store_dataset.csv, with a size of approximately 2.89 MB. It consists of 9 columns and contains 41.6 thousand records or rows.Usage
This dataset is ideal for learning data visualisation and manipulation. It can be used for various data analytics tasks, particularly for beginners. Potential applications include analysing sales performance, tracking salesperson achievements against goals, and identifying trends in retail operations.
Coverage
The dataset spans a time range from 1st January 2017 to 31st December 2022. All data is fictional, meaning there is no specific real-world geographic or demographic scope. There are 19 unique salespeople and 7 distinct departments represented within the data.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for data analysts, students, and beginners in data science or business intelligence. It serves as an excellent resource for anyone looking to practise data visualisation, statistical analysis, or developing dashboards to monitor retail sales performance.
Dataset Name Suggestions
- Department Store Sales Performance
- Retail Sales Activity Log
- Salesperson Daily Metrics
- Fictional Department Store Sales Data
- Sales Performance Tracking Dataset
Attributes
Original Data Source: Fictional Department Store Sales Data
QUALITY