Data visualization of development of the global COVID-19 pandemic
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Updated
Jun 13, 2020 - Python
Data visualization of development of the global COVID-19 pandemic
The Effects of Covid-19 from 2020 to 2022
San Diego County Coronavirus (COVID-19) Tracking
API-During the present novel coronavirus (COVID-19) pandemic, those on the front lines—including health care professionals, researchers, and government experts—need quick, easy access to real-time critical data.
COVID-19 Status in Australia (by States)
Applying and Understanding an Advanced, Novel Deep Learning Approach
Streamlit app to analyze the different scenarios of COVID-19 in states and cities of Brazil
Correlations and trends in COVID-19 data from 2020-2022
This is the source code of my thesis that explores the prediction capabilities of three compartmental models (SIR, SEIRS, SVEIRS) in the italian context of the pandemic of Sars-Cov-2
Googleの公開する「COVID-19感染予測(日本版)」による陽性者数の推移を予測基準日毎に実際の報告数と比較したグラフを作図します。
The effectiveness of numerous regulations implemented around the world were assessed by creating a Plotly dashboard in Python. Moreover, various graphs, charts, and two-way ANOVA analysis in Python illustrate the distinct COVID-19 peaks and outbreaks around the world and the impact of distinct regulations implemented by countries around the world.
🎬🦠 Data Analysis Repository: This repository offers a deep dive into the world of data analysis, covering diverse topics from the enchanting realm of box office movies to the critical study of the COVID-19 pandemic. Uncover the secrets behind blockbuster success or navigate through pandemic data to understand its impact.
COVID-19-By-Country
COVID-19 plots based on daily reports by Johns Hopkins CSSE
COVID-19 Tracker
This repository contains the code for analyzing the published literature on COVID-19 in hopes of finding information..
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