Scripts for IFVI Value Factors Dataset

This directory contains scripts for working with the IFVI Value Factors dataset.

Directory Structure

conversion/: Scripts used to convert the original XLSM data to JSON, CSV, and Parquet formats
examples/: Example scripts demonstrating how to use the dataset for analysis

Conversion Scripts

The conversion/ directory contains scripts that document the process of converting the original IFVI XLSM data to the formats available in this repository. These scripts serve as documentation of the data transformation process and can be used to reproduce the conversion if needed.

Scripts to be added:

xlsm_to_json.py: Convert XLSM to JSON format
json_to_csv.py: Convert JSON to CSV format
csv_to_parquet.py: Convert CSV to Parquet format
validate_data.py: Validate data integrity across formats

Example Scripts

The examples/ directory contains example scripts demonstrating how to use the dataset for various analyses.

Examples to be added:

load_data.py: Basic examples of loading the data in different formats
country_comparison.py: Compare value factors across countries
methodology_analysis.py: Analyze value factors by methodology
visualization.py: Visualize value factors geographically

Contributing

Contributions of additional scripts and examples are welcome. Please ensure that all scripts are well-documented and include:

A clear description of what the script does
Required dependencies
Usage examples
Expected output

License

All scripts in this directory are subject to the same license as the rest of the repository, as specified in the root license.md file.