Synthetic data describes customer visits, transactions, and survey responses for a leisure centre. The dataset includes multiple data types related to customer behavior. It was published on Kaggle in 2024.
Use Cases
- Analyze visit frequency patterns using the visits data.
- Segment customers based on transaction amounts and survey responses.
- Model customer churn using combined visit and survey feature sequences.
- Predict future transaction volumes from historical visit and survey trends.
Strengths
- Data includes multiple integrated types: customer, visits, transactions, and surveys.
- Synthetic nature allows for controlled experimentation without privacy concerns.
Limitations
- All data is synthetic, limiting real-world applicability.
- Specific row counts, column details, and data completeness are unknown.
Provenance
- Source
- Kaggle
- Collection Method
- Synthetic generation
- Time Range
- 2024
- Freshness
- null
- Geography
- null