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# Tools for IFVI Value Factors Dataset
This directory contains tools and utilities for working with the IFVI Value Factors dataset.
## Directory Structure
- `conversion/`: Tools for converting between different data formats
- `analysis/`: Scripts and notebooks for analyzing the value factors
- `visualization/`: Tools for visualizing the value factors
## Conversion Tools
The `conversion/` directory contains tools for converting between different data formats:
- JSON to CSV conversion
- CSV to Parquet conversion
- Data validation tools
## Analysis Tools
The `analysis/` directory contains scripts and notebooks for analyzing the value factors:
- Data loading and exploration
- Statistical analysis
- Comparative analysis across regions and impact types
## Visualization Tools
The `visualization/` directory contains tools for visualizing the value factors:
- Geographic visualizations
- Comparative charts and graphs
- Interactive dashboards
## Usage
Each tool directory contains its own README with specific usage instructions. Generally, tools can be run using Python:
```bash
python tools/analysis/load_data.py
```
## Requirements
Most tools require Python 3.6+ and the following packages:
- pandas
- numpy
- matplotlib
- pyarrow (for Parquet files)
A `requirements.txt` file is provided in each tool directory with specific dependencies.
## Contributing
Contributions of additional tools are welcome. Please ensure that all tools are well-documented and include:
1. A clear description of what the tool does
2. Required dependencies
3. Usage examples
4. Expected output
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