<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Data-Visualization on Izzuddin Ahsanujunda</title><link>https://iahsanujunda.me/tags/data-visualization/</link><description>Recent content in Data-Visualization on Izzuddin Ahsanujunda</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 09 Aug 2022 21:26:04 +0900</lastBuildDate><atom:link href="https://iahsanujunda.me/tags/data-visualization/index.xml" rel="self" type="application/rss+xml"/><item><title>Create Florence Nightingale's Coxcomb Diagram with Python</title><link>https://iahsanujunda.me/2022/08/09/create-florence-nightingales-coxcomb-diagram-with-python/</link><pubDate>Tue, 09 Aug 2022 21:26:04 +0900</pubDate><guid>https://iahsanujunda.me/2022/08/09/create-florence-nightingales-coxcomb-diagram-with-python/</guid><description>&lt;p>&lt;img alt="Nightingale Coxcomb" loading="lazy" src="https://drive.google.com/uc?export=view&amp;id=1SC6wFmma_vObK9ABNvUkxF8TO7AogFVJ">&lt;/p>
&lt;p>This is my implementation of the famous coxcomb diagram of excess death from Crimean War &lt;a href="https://www.florence-nightingale.co.uk/coxcomb-diagram-1858/">created by Florence Nightingale in 1858&lt;/a>. It highlights the portion of death that occur from preventable cause such as disease and infection instead of direct battle-inflicted wound. This diagram been used to illustrate the power of visualization to empower decision making.&lt;/p>
&lt;p>I realized that using computer to resolve the proportion makes the chart emphasize the excess death even further than what Florence Nightingale presented.&lt;/p></description></item></channel></rss>