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Beginner Sales Challenge Data
Retail & Consumer Behavior
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About
A foundational dataset designed specifically as a beginner’s tutorial and playground environment for initial data challenges. The collection contains three years of simulated daily revenue records sourced from five distinct retail outlets. This data is ideal for users looking to familiarise themselves with basic data querying, data platform environments, and foundational functions of common data analysis libraries.
Columns
- Fecha (Date): The specific date corresponding to the daily store record. There are 1096 unique dates represented across the entire period.
- Productos (Products): The quantity of products sold on that particular date. Daily product counts range from 15 units up to 50 units.
- Ingreso (Income): The total daily revenue or income generated by the store. Daily income figures generally range between 5000 and 10000.
- Tienda (Store): A numerical identifier (ranging from 1 to 5) indicating the specific store location responsible for generating the financial record.
Distribution
This dataset is structured in a simple tabular format, provided as a CSV file. It encompasses a total of 5480 records. The structure includes four columns, and importantly, all records are valid, meaning there are no missing or mismatched data points. The file size is approximately 120.6 kB.
Usage
This data is suitable for tackling core analytical questions and basic financial modeling. Example use cases include determining which store location generates the highest or lowest overall revenue, identifying peak sales months across the historical period, and calculating aggregated income for specific years (such as 2020). It serves as an excellent starting point for learning exploratory data analysis (EDA).
Coverage
The records cover a span of three full years of daily entries. The scope is centred around five distinct retail locations. Since the data is randomly generated and intended for simulation, there is no defined geographic or demographic scope beyond the internal representation of the five stores.
License
CC0: Public Domain
Who Can Use It
- Beginner Data Analysts: Ideal for following guided tutorials and practising simple data manipulation techniques.
- Students and Academics: Useful as a clean, small-scale dataset for teaching introductory principles of data processing and analysis.
- Data Developers: Suitable for testing initial pipeline functions or benchmarking simple query performance.
Dataset Name Suggestions
- Retail Store Daily Ledger
- Three-Year Retail Revenue Simulation
- Beginner Sales Challenge Data
- Daily Store Income Records
- Simulated Store Transaction Data
Attributes
Original Data Source: Beginner Sales Challenge Data
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