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height=\"550\" src=\"https://github.com/dg2c4/Asteroids-Orbits-Data/blob/main/Assets/Asteroids-Orbits-Dataset.webp\" alt=\"Asteroids-Orbits-Illustration\"\u003e\n\u003c/p\u003e\n\n## Link video del avance realizado:\n    https://youtu.be/tXVN02RuUNU\n\n## Link del proyecto final realizado:\n    https://\n  \n## *Detalles del proyecto final:*\n• Usar un conjunto de datos de mínimo 2000 registros.\\\n• Desarrollar un análisis exploratorio de datos y preprocesamiento.\\\n• Crear un dashboard en Power BI para presentar la visualización de los resultados.\\\n• KPIs (Key Performance Indicator).\\\n• Graficas acordes al problema.\\\n• Storytelling en la presentación.\\\n• Análisis exploratorio de datos.\\\n• Análisis de datos espaciales o temporales.\n\n## *Objetivo:* \nRealizar un análisis completo de un conjunto de datos de asteroides para identificar posibles riesgos de impacto con la Tierra, utilizando técnicas de análisis exploratorio, preprocesamiento y visualización de datos.\nEl trabajo se divide en tres componentes principales:\n\n### *1. Análisis Exploratorio:*\n    - Formulación de preguntas de investigación.\n    - Creación de hipótesis basadas en un problema específico.\n    - Análisis inicial del conjunto de datos seleccionado.\n\n### *2. Preprocesamiento de Datos:*\n    - Limpieza de datos.\n    - Transformación de variables.\n    - Reducción de datos cuando sea necesario.\n    - Discretización de datos según corresponda.\n\n### *3. Visualización de Datos:*\n    - Creación de un dashboard en PowerBI o Tableau.\n    - Presentación visual de las conclusiones del análisis.\n    - Exposición clara de los hallazgos del análisis exploratorio.\n\n\n## *Conjunto de datos:* \nContiene datos sobre posibles impactos de asteroides con la Tierra.\n\n    https://www.kaggle.com/datasets/nasa/asteroid-impacts\n\n## *Visualización Datos PowerBI:*\n\u003cp align=\"center\"\u003e\n  \u003cimg width=800 height=\"550\" src=\"https://github.com/dg2c4/Asteroids-Orbits-Data-Elective-II/blob/main/Assets/Graficos%20Orbits/DashboardPowerBI.png\" alt=\"Dashboard-PowerBI\"\u003e\n\u003c/p\u003e\n\n## *Ejercicio:*\n  A. Realizar un análisis exploratorio al conjunto de datos entregado, para ello debe crear diferentes preguntas e hipótesis a resolver en los datos partiendo de un problema que cada grupo debe plantear.\\\n  B. Después de realizar el análisis exploratorio, debe hacer el preprocesamiento de los datos según como considere: limpieza, transformación, reducción de datos o discretización de los datos.\\\n  C. Debe realizar un dashboard en PowerBI o Tableau para exponer visualmente las conclusiones del análisis exploratorio.\n\n  \n## *Evaluación: Avance Anteproyecto*\n| Ítem | Puntos |\n|------|--------|\n| Análisis exploratorio | 10 pts |\n| Preprocesamiento de los datos | 10 pts |\n| Visualización de datos con PowerBI | 20 pts |\n| Calidad de las visualizaciones y justificación | 10 pts |\n|Total | 50 pts |\n\n## *Evaluación: Entrega Proyecto FInal*\n| Ítem | Puntos |\n|------|--------|\n| Análisis exploratorio | 10 pts |\n| Analisis y procesamiento de los datos | 10 pts |\n| Visualización de datos con PowerBI | 15 pts |\n| Visualización de interfaz | 15 pts |\n|Total | 50 pts |\n\n## *Systems engineering:*\n| User: | David Gutierrez Chaves |\n|------|--------|\n| Code: | 506222728 |\n| Subject: | Visualización De Datos Electiva-II |\n| Institution: | Fundación Universitaria Konrad Lorenz |\n| Institutional email | david.gutierrec@konradlorenz.edu.co |\n  \n\n## Created By:\n    https://github.com/dg2c4\n\n### *Date:* 06/03/2025 - 20/03/2025 Avance Proyecto Final 10%\n\n### *Date:* 20/03/2025 - 29/05/2025 Entrega Proyecto final 20%\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdg2c4%2Fasteroids-orbits-data-elective-ii","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdg2c4%2Fasteroids-orbits-data-elective-ii","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdg2c4%2Fasteroids-orbits-data-elective-ii/lists"}