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coronavis/index.en.html
2020-04-02 16:49:06 +02:00

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<h3>Visualizations for Corona2020</h3>
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<h4>Idea</h4>
Everywhere you can see beautiful graphs, but none of them are logarithmic, to better estimate the developement.
So, I made some automatically daily updated plots and put them here.
Not beautiful, but hopefully informing.
Data sourced from <a href=https://ourworldindata.org/coronavirus-source-data>here</a> and is gereneated from the WHO reports.
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<summary>Basics</summary>
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<summary>total cases</summary>
<img src=total_cases.png />
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<summary>new cases</summary>
<img src=new_cases.png />
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<summary>total deaths</summary>
<img src=total_deaths.png />
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<summary>new deaths</summary>
<img src=new_deaths.png />
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<summary>percentual increase</summary>
New cases relative to total cases, with moving average of 3 days.
<img src=percent_increase.png />
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<summary>doubling time</summary>
Doubling time with moving average of 3 days.
<img src=doubling_time.png />
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<summary>Deaths per cases</summary>
<img src=death_per_case.png />
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<summary>Absolute cases timeshifted to day of first reported death</summary>
Warning: data might be incomplete and not start with zero death (e.g. China).
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<img src=normalized_to_first_death.png />
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<summary>Absolute cases timeshifted to day of reported infections exceeding 100</summary>
Timeshift to 100 cases, when in most countries the exponential growth fully set in.
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<img src=normalized_to_100_cases.png />
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<summary>Delay from China in days</summary>
Delay from case numbers seen in China counted in days
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<img src=delay_china.png />
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<summary>Delay from USA in days</summary>
Delay from case numbers seen in USA counted in days
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<img src=delay_usa.png />
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<div class=foot>
Ein Infoservice von <a href=dukun.de>dukun.de</a>; Suggestions <a href="mailto:&#099;&#111;&#114;&#111;&#110;&#097;&#105;&#110;&#112;&#117;&#116;&#064;&#100;&#117;&#107;&#117;&#110;&#046;&#100;&#101;">by Mail</a>; Proudly made with Python, Matplotlib, Numpy
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