An intuitive, dynamically-typed DataFrame library.
Goals:
- Exploratory data analysis
- Shallow learning curve
Non-goals:
- Static types/strong type-safety
Example usage
Longer form examples in ./app folder using many of the constructs in the API.
Future work:
- Apache arrow and Parquet compatability
- Integration with common data formats (currently only supports CSV)
- Support windowed plotting (currently only supports ASCII plots)
- Create a lazy API that builds an execution graph instead of running eagerly (will be used to compute on files larger than RAM)