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sujucu70 eb804d7fb0 fix: Consistent CPI score calculation using airlines benchmarks 
Updates economy dimension score to use airlines benchmark percentiles:
- p25 (€2.20) = 100 points
- p50 (€3.50) = 80 points
- p75 (€4.50) = 60 points
- p90 (€5.50) = 40 points
- >p90 = 20 points

Applies to: backendMapper.ts, realDataAnalysis.ts, analysisGenerator.ts

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-23 14:02:25 +01:00
..
components
debug: Add CPI comparison logging in both tabs
2026-01-23 11:51:08 +01:00
config
Commit inicial
2026-01-18 19:15:34 +00:00
styles
Initial commit: frontend + backend integration
2025-12-29 18:12:32 +01:00
utils
fix: Consistent CPI score calculation using airlines benchmarks
2026-01-23 14:02:25 +01:00
.gitignore
Dockerizado y con script de instalación
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ANALISIS_SCREEN3_HEATMAP.md
Initial commit: frontend + backend integration
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ANALISIS_SCREEN4_VARIABILIDAD.md
Initial commit: frontend + backend integration
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App.tsx
página de login
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CAMBIOS_IMPLEMENTADOS.md
Initial commit: frontend + backend integration
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CHANGELOG_v2.1.md
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CHANGELOG_v2.2.md
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CHANGELOG_v2.3.md
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CLEANUP_PLAN.md
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CLEANUP_REPORT.md
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CODE_CLEANUP_SUMMARY.txt
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COMPARATIVA_VISUAL_MEJORAS.md
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constants.ts
feat: Rediseño dashboard con 4 pestañas estilo McKinsey
2026-01-12 08:41:20 +00:00
CORRECCIONES_FINALES_CONSOLE.md
Initial commit: frontend + backend integration
2025-12-29 18:12:32 +01:00
CORRECCIONES_FINALES_v2.md
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CORRECCIONES_RUNTIME_ERRORS.md
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data.xlsx
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datos-limpios.xlsx
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DEPLOYMENT.md
Initial commit: frontend + backend integration
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Dockerfile
Dockerizado y con script de instalación
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dockerignore
Dockerizado y con script de instalación
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ESTADO_FINAL.md
Initial commit: frontend + backend integration
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FEATURE_SEGMENTATION_MAPPING.md
Initial commit: frontend + backend integration
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GENESYS_DATA_PROCESSING_REPORT.md
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GUIA_RAPIDA.md
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IMPLEMENTACION_QUICK_WINS_SCREEN3.md
Initial commit: frontend + backend integration
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INDEX_DELIVERABLES.md
Initial commit: frontend + backend integration
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index.html
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index.tsx
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INFORME_CORRECCIONES.md
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informe-limpieza.txt
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MEJORAS_SCREEN2.md
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MEJORAS_SCREEN3_PROPUESTAS.md
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metadata.json
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NOTA_SEGURIDAD_XLSX.md
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package-lock.json
Dockerizado y con script de instalación
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package.json
Dockerizado y con script de instalación
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pantalla-completa 2.png
Initial commit: frontend + backend integration
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process_genesys_data.py
Initial commit: frontend + backend integration
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QUICK_REFERENCE_GENESYS.txt
Initial commit: frontend + backend integration
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QUICK_START.md
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README_FINAL.md
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README.md
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screen1.png
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screen2.png
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screen3.png
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screen4.png
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SETUP_LOCAL.md
Initial commit: frontend + backend integration
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skills-mapping.xlsx
Initial commit: frontend + backend integration
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start-dev.bat
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STATUS_FINAL_COMPLETO.md
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tsconfig.json
Initial commit: frontend + backend integration
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types.ts
feat: Add Law 10/2025 compliance analysis tab
2026-01-22 21:58:26 +01:00
VERSION.md
Initial commit: frontend + backend integration
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vite-env.d.ts
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vite.config.ts
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README.md

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Run and deploy your AI Studio app

This contains everything you need to run your app locally.

View your app in AI Studio: https://ai.studio/apps/drive/1BsN7Hj59Uxudfk5jNrmH_E1S6uDd8caP

Run Locally

Prerequisites: Node.js

  1. Install dependencies: npm install
  2. Set the GEMINI_API_KEY in .env.local to your Gemini API key
  3. Run the app: npm run dev
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