Examples
Downloading explanations in different formats:Choose format based on your analysis tools and data size requirements.
Parquet is recommended for large datasets due to compression and performance.
PARQUET
Apache Parquet format for efficient columnar data storage.
Parquet is a columnar storage format that provides excellent compression
and query performance. It preserves data types and schema information,
making it ideal for analytical workloads and large datasets.
Advantages:
- Excellent compression ratios
- Fast query performance
- Preserves data types and schema
- Efficient for analytical operations
- Large explanation datasets
- Analytical workflows
- Integration with data science tools
- Long-term data storage
CSV
Comma-separated values format for broad tool compatibility.
CSV is a simple, widely-supported text format that can be opened by
virtually any data analysis tool, spreadsheet application, or programming
language. While less efficient than Parquet, it offers maximum compatibility.
Advantages:
- Universal compatibility
- Human-readable format
- Simple structure
- Supported by all tools
- Small to medium datasets
- Sharing with non-technical users
- Quick data inspection
- Integration with legacy systems