GOSales
Alternative names: GSDB
GO Sales dataset from IBM contains information about daily sales, methods, retailers, and products of a fictitious outdoor equipment retail chain “Great Outdoors” (GO). The task is to predict sale quantity.
Original source: github.com
Versions
GOSales (by Jan Motl)
Dataset details
- Associated task:
- Regression
- Domain:
- Retail
- Data types:
- Size:
- 22.4 MB
- Count of tables:
- 5
- Count of rows:
- 150,989
- Count of columns:
- 25
- Missing values:
- No
- Compound keys:
- Yes
- Loops:
- No
- Type:
- Synthetic
- Instance count:
- 1,000
- Target table:
- go_1k
- Target column:
- Quantity
- Target ID:
- Retailer code, Product number
- Target timestamp:
- Date
How to download the dataset
The datasets are publicly available directly from MariaDB database.
- Open your favourite MariaDB client (MySQL Workbench works, but see FAQ)
- Use following credentials:
- hostname: relational.fel.cvut.cz
- port: 3306
- username: guest
- password: ctu-relational
- Export "GOSales" database (or other version of the dataset, if available) in your favourite format (e.g. CSV or SQL dump).