{"id":27055153,"url":"https://github.com/tomaslopera/hackathon_isa","last_synced_at":"2025-04-05T09:19:07.066Z","repository":{"id":285491589,"uuid":"958320505","full_name":"Tomaslopera/Hackathon_ISA","owner":"Tomaslopera","description":null,"archived":false,"fork":false,"pushed_at":"2025-04-01T02:40:24.000Z","size":47019,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-01T03:26:24.146Z","etag":null,"topics":["data-visualization","exploratory-data-analysis","matplotlib","pandas","seaborn"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Tomaslopera.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-04-01T02:16:22.000Z","updated_at":"2025-04-01T02:39:18.000Z","dependencies_parsed_at":"2025-04-01T03:36:28.510Z","dependency_job_id":null,"html_url":"https://github.com/Tomaslopera/Hackathon_ISA","commit_stats":null,"previous_names":["tomaslopera/hackathon_isa"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tomaslopera%2FHackathon_ISA","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tomaslopera%2FHackathon_ISA/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tomaslopera%2FHackathon_ISA/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tomaslopera%2FHackathon_ISA/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Tomaslopera","download_url":"https://codeload.github.com/Tomaslopera/Hackathon_ISA/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247312330,"owners_count":20918409,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-visualization","exploratory-data-analysis","matplotlib","pandas","seaborn"],"created_at":"2025-04-05T09:19:06.493Z","updated_at":"2025-04-05T09:19:07.053Z","avatar_url":"https://github.com/Tomaslopera.png","language":"Jupyter Notebook","readme":"# Hackathon ISA 2024 - Analítica de Negocios\n\n**Fecha:** 10 de mayo 2024\n\n## Descripción del Proyecto\nEste repositorio contiene la solución presentada en la Hackathon de ISA en 2024, donde el reto consistió en analizar datos de intervenciones realizadas en torres eléctricas y proponer mejoras para optimizar el mantenimiento en todo el país.\n\n## Objetivos\n- Realizar un análisis exploratorio de los datos proporcionados.\n- Identificar patrones y tendencias en las intervenciones.\n- Proponer estrategias basadas en datos para mejorar la eficiencia del mantenimiento.\n\n## Herramientas Utilizadas\n- **Excel**: Exploración inicial.\n- **Python**: Exploración, limpieza, análisis y visualización de datos con Pandas, Matplotlib y Seaborn.\n\n## Cómo Ejecutar el Proyecto\n1. Clonar este repositorio:\n   ```bash\n   git clone https://github.com/Tomaslopera/Hackathon_ISA.git\n   ```\n2. Instalar las dependencias:\n   ```bash\n   pip install pandas matplotlib seaborn\n   ```\n## Estructura del Código\nEste repositorio contiene dos versiones del análisis:\n- **Original** (`main`): Refleja exactamente la solución presentada en la hackathon.\n- **Mejorada** (`improved_analysis`): Basada en conocimientos adquiridos posteriormente, con una metodología más robusta.\n\nEsto permite mantener la transparencia sobre la solución inicial mientras se demuestra la evolución en el análisis de datos.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftomaslopera%2Fhackathon_isa","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftomaslopera%2Fhackathon_isa","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftomaslopera%2Fhackathon_isa/lists"}