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Covid-19 Dataset: Worldwide spread log including countries first case and first death

机译:Covid-19数据集:全球传播日志包括国家第一次案例和第一次死亡

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摘要

The article represents coronavirus spread log history. The duration, coronavirus takes to spread from one country to another country, could be seen in this dataset and could predicted the same for future pandemics through this dataset. It is highly dependent on the cabalistic number of variables that is the main navel of these datasets. Information for this dataset is collected from trusted websites, local and international popular newspapers. This coronavirus dataset not only help to track the spreading route of coronavirus but also can be used for predicting the possible spreading route of similar future pandemics. This dataset consists of 186 countries' useful data related to COVID-19 pandemic from November 17, 2019, to May 16, 2020, with 8 unique variables that provide the information of the nature of the spread of COVID-19. The datasets mainly focus on two major fields, first one is First Case which consists of information of Date of First Case(s), Number of confirm Case(s) at First Day, Age of the patient(s) of First Case, Last Visited Country and the other one First Death information consist of Date of First Death and Age of the Patient who died first for every Country mentioning corresponding Continent.This dataset also can perform a bunch of predictions using Machine Learning applications, like -how fast the virus is spreading, affect rate, death rate, death rate and able to represent comparison between other pandemics. Using this dataset, any similar pandemic spreadness could be predicted earlier and necessary precaution measures could be taken.
机译:这篇文章代表了Coronavirus扩展日志历史记录。在这个数据集中可以看出,从一个国家传播到另一个国家的持续时间,可以在这个数据集中看到,可以通过这个数据集预测未来的淫乱。它高度依赖于这些数据集的主要七的气候数量。从可信网站,本地和国际热门报纸收集此数据集的信息。此Coronavirus DataSet不仅有助于跟踪冠状病毒的传播路线,还可以用于预测类似未来流行病的可能传播路径。该数据集由来自2019年11月17日至5月16日至5月16日至5月16日的Covid-19 Pandemic的186个国家的有用数据组成,其中8个独特的变量,提供了Covid-19传播的性质的信息。数据集主要关注两个主要领域,第一个是第一个案例,其中包括第一个案例的信息,第一天的确认案件数量,最后一个案例的年龄,最后访问的国家和另一个第一个死亡信息包括第一次死亡和年龄的年龄,患者首先被提及相应的大陆而死亡。该数据集还可以使用机器学习应用程序执行一堆预测,例如 - 快速病毒正在蔓延,影响率,死亡率,死亡率,能够代表其他流行病之间的比较。使用此数据集,可以预先预测任何类似的大流行蔓延,并且可以采取必要的预防措施。

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