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What this does:
Loads the Startup Success Prediction dataset from Kaggle, cleans and filters it into data/processed/startups.json ready for the similarity tool.
Files changed:
How to run:
python app/services/data_loader.py
Verify it works:
python -c "import json; data=json.load(open('data/processed/startups.json')); print(f'Loaded {len(data)} companies'); print('Sample:', data[0])"
Output:
Loaded 923 companies
Sample: {'company_name': 'Bandsintown', 'industry': 'music', 'description': 'Music company based in San Diego, CA. Status: acquired.', 'founded_year': 2007, 'status': 'acquired', 'funding_total_usd': 375000.0, 'funding_rounds': 3.0, 'has_VC': False, 'is_top500': False}