4,501,043 financial transaction records are categorized into 10 distinct classes across five countries and five currencies. The data is stored in Parquet format to optimize storage and processing speed for large-scale financial modeling.
Use Cases
- Train a multi-class classification model to assign transactions to one of the 10 financial categories.
- Develop cross-currency financial analysis tools using the currency and country columns to normalize spending patterns.
- Benchmark high-throughput data processing pipelines using the 4.5 million records stored in Parquet format.
- Perform geographic spending analysis by grouping transaction data by the country field.
Strengths
- 4,501,043 total transaction records
- Covers 5 countries including USA, UK, Canada, Australia, and India
- Includes 10 distinct financial categories for classification
- Distributed in Parquet format for optimized data loading