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https://github.com/no-country-simulation/s16-21-n-data-bi

Analisis del COVID-19 - insights sobre la evolución de la pandemia - impacto en 5 paises sudamericanos.
https://github.com/no-country-simulation/s16-21-n-data-bi

eda etl machine-learning matplotlib pandas powerbi python scikit-learn seabron streamlit

Last synced: 2 months ago
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Analisis del COVID-19 - insights sobre la evolución de la pandemia - impacto en 5 paises sudamericanos.

Host: GitHub
URL: https://github.com/no-country-simulation/s16-21-n-data-bi
Owner: No-Country-simulation
Created: 2024-07-05T00:19:13.000Z (6 months ago)
Default Branch: main
Last Pushed: 2024-08-11T00:47:32.000Z (5 months ago)
Last Synced: 2024-09-07T05:00:13.655Z (4 months ago)
Topics: eda, etl, machine-learning, matplotlib, pandas, powerbi, python, scikit-learn, seabron, streamlit
Language: Jupyter Notebook
Homepage: https://viralyze.streamlit.app/
Size: 21.2 MB
Stars: 0
Watchers: 0
Forks: 5
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

        # 
_Viralyze_




  



## Índice

1. [Descripción](#descripción)

2. [Características](#características)

3. [Requisitos](#requisitos)

4. [Instalación](#instalación)

5. [Estructura del Proyecto](#estructura-del-proyecto)

6. [Enlaces](#enlaces)

7. [Reportes - Power BI](#reportes---power-bi)

8. [Colaboradores](#colaboradores)

9. [Tecnologías](#tecnologías)

## Descripción

Este proyecto tiene como objetivo analizar los datos del COVID-19 para proporcionar insights sobre la evolución de la pandemia, el impacto en diferentes regiones y la efectividad de las medidas de control. Utiliza técnicas de análisis de datos y visualización para interpretar y comunicar los resultados.

## Características

- Análisis temporal de casos confirmados y fallecimientos.

- Visualización de tendencias acumulativas.

- Seguimiento de dosis de vacunas administradas.

- Comparación entre diferentes regiones.

- Predicciones y modelado de datos.

## Requisitos

- Python 3.x

- pandas

- matplotlib

- seaborn

- numpy

- jupyter 

## Instalación

1. Clona este repositorio:

   git clone https://github.com/No-Country-simulation/s16-21-n-data-bi

2. Crear un entorno virtual: python -m venv env

3. Activar el entorno virtual: .\env\Scripts\activate

3. Instalar dependencias:    pip install -r requirements.txt

4. Ejecuta la aplicación:   streamlit run app.py 

## Estructura del Proyecto

- Viralyze/

- │

- ├── data/                    # Directorio para los datos procesados.

- ├── images/                  # Imagenes del readme.

- ├── Notebooks/               # Jupyter Notebooks para análisis exploratorio y Machine .Learning

- ├── .gitignore               # configuracion de archivos ignorados.

- ├── app.py                   # Archivo de aplicación del deploy en Streamlit.

- ├── README.md                # Este archivo README.

- ├── requirements.txt         # Archivo de requisitos.

- └── ...

## Enlaces

Dashboard: https://bit.ly/Viralyze

Deploy: https://viralyze.streamlit.app/



  



## Reportes - Power BI



  

  

  



## Colaboradores

|                         | Nombre   |   Rol                    | GitHub & LinkedIn                                                                                                                                                                                          |

| ----------------------------- | -------- | ---------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |

|  | Angel Jaramillo Sulca | Data Engineer  | [![Github](https://skillicons.dev/icons?i=github)](https://github.com/Angeljs094) [![Linkedin](https://skillicons.dev/icons?i=linkedin)](https://www.linkedin.com/in/angeljarads/)                         |

|                               |

|  | Carolina Romero | Machine Learning | [![Github](https://skillicons.dev/icons?i=github)](https://github.com/caromerou) [![Linkedin](https://skillicons.dev/icons?i=linkedin)](https://www.linkedin.com/in/carolina-romerou/)                         |

|                               |

|  | Fabricio Diego Angulo Luna | Data Engineer | [![Github](https://skillicons.dev/icons?i=github)](https://github.com/FabricioAngulo) [![Linkedin](https://skillicons.dev/icons?i=linkedin)](https://www.linkedin.com/in/fabricio-diego-angulo-luna-0a8b46259/)                         |

|                               |

|  | Fabrizio Flamini | Analista de Datos | [![Github](https://skillicons.dev/icons?i=github)](https://github.com/FlamInIFabrIzIo) [![Linkedin](https://skillicons.dev/icons?i=linkedin)](https://www.linkedin.com/in/fabrizioflamini/)                         |

|                               |

|  | Gabriel Valdez | Analista de Datos | [![Github](https://skillicons.dev/icons?i=github)](https://github.com/GabooV2) [![Linkedin](https://skillicons.dev/icons?i=linkedin)](https://www.linkedin.com/in/gabdez/)                         |

|                               |

|  | Gonzalo Raffo | Data Engineer | [![Github](https://skillicons.dev/icons?i=github)](https://github.com/goraffo) [![Linkedin](https://skillicons.dev/icons?i=linkedin)](https://www.linkedin.com/in/gonzaloraffo/)                         |

|                               |

|  | Marcelo Ortiz | Machine Learning | [![Github](https://skillicons.dev/icons?i=github)](https://github.com/MarceloOrtizz) [![Linkedin](https://skillicons.dev/icons?i=linkedin)](https://www.linkedin.com/in/marceloortizz/)                         |

|                               |

|  | Yesica Milagros Leon | Analista de Datos | [![Github](https://skillicons.dev/icons?i=github)](https://github.com/yesicamilagros) [![Linkedin](https://skillicons.dev/icons?i=linkedin)](https://www.linkedin.com/in//)                         |

|                               |

|  | Fernando Vergel | Team Leader | [![Github](https://skillicons.dev/icons?i=github)](https://github.com/nemgf) [![Linkedin](https://skillicons.dev/icons?i=linkedin)](https://www.linkedin.com/in/fernando-vergel-816930178/)                         |

|                               |

## Tecnologías

[![Visual Studio Code](https://img.shields.io/badge/IDE-Visual%20Studio%20Code-blue)](https://code.visualstudio.com/)

[![Python](https://img.shields.io/badge/Language-Python-blue)](https://www.python.org/)

[![Jupyter](https://img.shields.io/badge/Notebook-Jupyter-orange)](https://jupyter.org/)

[![Pandas](https://img.shields.io/badge/Library-Pandas-brightgreen)](https://pandas.pydata.org/)

[![Matplotlib](https://img.shields.io/badge/Library-Matplotlib-blue)](https://matplotlib.org/)

[![Seaborn](https://img.shields.io/badge/Library-Seaborn-yellow)](https://seaborn.pydata.org/)

[![scikit-learn](https://img.shields.io/badge/Library-scikit--learn-red)](https://scikit-learn.org/)

[![Streamlit](https://img.shields.io/badge/Framework-Streamlit-purple)](https://streamlit.io/)

[![GitHub](https://img.shields.io/badge/Platform-GitHub-lightgrey)](https://github.com/)

[![Git](https://img.shields.io/badge/Version%20Control-Git-blue)](https://git-scm.com/)

[![Power BI](https://img.shields.io/badge/BI%20Tool-Power%20BI-yellow)](https://powerbi.microsoft.com/)

[![Discord](https://img.shields.io/badge/Chat-Discord-blueviolet)](https://discord.com/)

[![Slack](https://img.shields.io/badge/Chat-Slack-4A154B)](https://slack.com/)

[![Google Meet](https://img.shields.io/badge/Tool-Google%20Meet-4285F4)](https://meet.google.com/)

[![Google Drive](https://img.shields.io/badge/Tool-Google%20Drive-34A853)](https://drive.google.com/)