This is the repository to the ESID frontend for visualization of infectious disease propagation.
Cenários e efeitos da pandemia causada pelo novo coronavírus SARS-CoV-2 no Amazonas: Análise e previsão de séries temporais com a biblioteca Prophet.
A JS library implementing the SIR epidemic simulation model.
The present project aims to analyze the behavior of Brazilian workers, who are working from home during the COVID-19 pandemic, using data science strategies. With this, it will be possible to identify the impact of the pandemic and gives a profile that have been shaped from the pandemic scenario in Brazil.
The Most Efficient Way to Design AI
Dashboards and data visualizations using Tableau to understand the impact of the pandemic for a New York-based bike-hire service, Citi Bike, based in New York City.
This repository contains implementation of some mathematical models to simulate and forecast pandemic outbreaks. It is a project for my programming exam, but I count to keep it updated after the exam is done.
Covid19 Tracking Project
Covid19 visualization for Portugal
This app aims to provide a tool to track global trends in the Covid-19 pandemic
COVPOL: An agent-based model of the international COVID-19 policy response
Analysis tool for the COVID19 pandemic in Spain
The prediction of the Microsoft stock value is addressed pursuing two distinct strategies: 1 starting from solely the company's stock data, 2 leveraging also the overall sentiment towards the company extracted from Twitter and the records related to the ongoing pandemic.
Experiments with open data & dataviz about the monkeypox pandemic
A comprehensive analysis on the spread of the corona virus worldwide. The statistical analysis shows the spread using interactive charts and figures. The geographical analysis shows the spread of the virus on the geographical map of the majorly affected countries and highlighting the places with highest incidence rate.
Прогнозы COVID-19, объяснённые на игровых симуляциях
Heatmap showing the number of deaths month to month since the beginning of the pandemic.
Visualizing COVID19 outbreak from March 2020, using Python.
This project offers an in-depth analysis of the COVID-19 pandemic using Tableau, focusing on key metrics like cases, recoveries, and deaths across regions and time.
Analysis of the impact of pandemic on Dublin Bikes and how the usage changed during post-pandemic period.
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