60 lines
1.7 KiB
HTML
60 lines
1.7 KiB
HTML
<html>
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<head>
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<meta http-equiv="Content-Type" content="text/html; charset=UTF-8" />
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<link rel="stylesheet" type="text/css" href="style.css">
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<link rel="icon" type="image/vnd.microsoft.icon" href="favicon.ico">
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<meta name="robots" content="noindex,nofollow" />
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</head>
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<body class=body>
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<div class=head>
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<h3>Visualizations for Corona2020</h3>
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</div>
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<div class=box>
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<h4>Idea</h4>
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Everywhere you can see beautiful graphs, but none of them are logarithmic, to better estimate the developement.
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So, I made some automatically daily updated plots and put them here.
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Not beautiful, but hopefully informing.
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Data sourced from <a href=https://ourworldindata.org/coronavirus-source-data>here</a> and is gereneated from the WHO reports.
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<h4>Basics</h4>
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<h5>total cases</h5>
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<img src=total_cases.png />
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<h5>new cases</h5>
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<img src=new_cases.png />
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<h5>total deaths</h5>
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<img src=total_deaths.png />
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<h5>new deaths</h5>
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<img src=new_deaths.png />
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<h4>Deaths per cases</h4>
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<img src=death_per_case.png />
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<h4>Absolute cases timeshifted to day of first reported death</h4>
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Warning: data might be incomplete and not start with zero death (e.g. China).
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<br>
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<img src=normalized_to_first_death.png />
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<h4>Delay from China in days</h4>
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Delay from case numbers seen in China counted in days
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<br>
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<img src=delay_china.png />
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<h4>Delay from USA in days</h4>
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Delay from case numbers seen in USA counted in days
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<br>
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<img src=delay_usa.png />
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</div>
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<div class=foot>
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Ein Infoservice von <a href=dukun.de>dukun.de</a>; Suggestions <a href="mailto:coronainput@dukun.de">by Mail</a>; Proudly made with Python, Matplotlib, Numpy
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</div>
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</body>
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</html>
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