How Data Analysis Helps Unveil the Truth of Coronavirus

Written by xyng17 | Published 2020/02/09
Tech Story Tags: coronavirus | data-analysis | web-scraping | hackernoon-top-story | datasets | analysis | machine-learning | machine-learning-uses

TLDR The public needs to have a fair-minded understanding of this outbreak with transparent data sources. The goal of this article is to collect data from primary sources, and make the data reliable and transparent. The death rate in Hubei province by far is 2.7%, compared to 0.19% elsewhere in China. The data indicates the number of infected cases increases without any sign of slowing down. The number of suspected infections declines steadily, indicating the overall suspected infection pool has been shrinking as they have turned into confirmed cases.via the TL;DR App

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Published by HackerNoon on 2020/02/09