covid-19-data-visualization
There are 9 repositories under covid-19-data-visualization topic.
kishanrajput23/Edureka-AI-and-Machine-Learning-Workshop
This repository consists all the study materials, assignments, datasets and projects on which I worked during this workshop.
Ram-95/covid-19_india_data
COVID-19 India Dashboard and Vaccination Centre Search Application
yusufcinarci/Covid-19-Data-Analysis-Visualization
The first project of our data visualization studies is the COVID-19 data analysis project. In this project, we analyzed the data of the COVID-19 pandemic, which started in the first month of 2020 and still continues to affect the world, on the basis of countries. You can find the brief details of the project we realized in 3 stages in the readme file. We have tried to explain the details of the project step by step below. We wish you healthy days.
BarbaricEric/COVID-19-Tracker
A historical dashboard for tracking, visualizing, and providing COVID-19 data and news with emphasis in the United States.
francescopoliti/CITTANOVA-COVID-19
Monitoraggio situazione contagio Covid-19 Comune di Cittanova (RC) Calabria Italia . Fonte dati covid Comune di Cittanova . Elaborazione dati ing. Francesco Politi .
ccodwg/Covid19CanadaTrends
COVID-19 Trends in Canada
madziialenkaa/Covid-19_Dataviz
Database, python code for database treatment and creation of the datasets, html, javascript and css files to present a datavizualisation made thanks to D3js. The aim of this datavizualization is to compare the evolution of the pandemic of COVID-19 in the world when vaccination begins, from January 2021 to May 2021.
tonmoy-khanal/Covid-19-analysis
The model classifies the population into four mutually exclusive groups: susceptible (at risk of contracting the disease), exposed (infected but not yet infectious), infectious (capable of transmitting the disease), and removed (those who recover or die from the disease). A susceptible individual can become exposed only through contact with some infectious person. Susceptible individuals first enter the exposed stage, during which they may have a low level of infectivity; they become infectious thereafter. The infection rate represents the probability of transmission from an infectious person to a susceptible one. The incubation rate (the reciprocal of the average duration of incubation) is the rate at which latent individuals become infectious; and the removal rate is the reciprocal of the average duration of infection. The basic reproduction number (BRN) is the expected number of cases directly generated by one case. A BRN greater than one indicates that the outbreak is self-sustaining, while a BRN less than one indicates that the number of new cases decreases over time and eventually the outbreak will stop. Ideally, the BRN should be reduced in order to slow down an epidemic.