Annual customer traffic data for 15 supermarkets, projected for the year 2025. The dataset is hosted on Kaggle, but the original author and collection method are unknown. The specific metrics, time granularity, and supermarket locations are not detailed in the available metadata.
Use Cases
- Benchmarking store performance against an anonymized peer group (inferred from domain, verify after download)
- Training time-series models to forecast future customer traffic (inferred from domain, verify after download)
- Analyzing the impact of external factors on retail footfall (inferred from domain, verify after download)
Limitations
- Metadata is minimal; actual content requires verification after download
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment