tools/README.md

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:

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