feat(data): parse 3-agency PDF transition matrices to CSV #task-290
- New: data/parse_pdf_matrices.py (KR/NICE/SCI PDF parser) - KR: text-based parser (space-separated numbers + dashes) - NICE: text-based parser (clean numeric format) - SCI: pdfplumber table extraction (column-position-aware) - WR redistribution, B이하→B mapping, CCC extrapolation from PD patterns - Modified: data/transition_matrices.py (added source='real' loader) - Modified: config.yaml (data.transition_source: 'real') - Modified: main.py (reads transition source from config) - Output: 112 CSV files (KR/NICE/SCI/AVG × 28 years)
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data/real/AVG_2025.csv
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data/real/AVG_2025.csv
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,AAA,AA,A,BBB,BB,B,CCC,D
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AAA,0.997390,0.002610,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000
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AA,0.005308,0.971845,0.022707,0.000140,0.000000,0.000000,0.000000,0.000000
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A,0.000000,0.018709,0.961237,0.018726,0.000443,0.000738,0.000000,0.000148
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BBB,0.000000,0.000000,0.054288,0.926175,0.010365,0.004800,0.002997,0.001374
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BB,0.000000,0.000000,0.000961,0.018349,0.881175,0.073681,0.009845,0.015990
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B,0.000000,0.000000,0.000000,0.001442,0.059834,0.665919,0.117515,0.155290
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CCC,0.000000,0.000000,0.001000,0.002000,0.003000,0.054534,0.617403,0.322063
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D,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,1.000000
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