<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Control Charts - Tag - Zhiverse</title><link>https://yao-chih.netlify.app/en/tags/control-charts/</link><description>Control Charts - Tag - Zhiverse</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>yaochihh@gmail.com (Josh)</managingEditor><webMaster>yaochihh@gmail.com (Josh)</webMaster><copyright>Zhiverse</copyright><atom:link href="https://yao-chih.netlify.app/en/tags/control-charts/" rel="self" type="application/rss+xml"/><item><title>Learning Control Charts</title><link>https://yao-chih.netlify.app/en/learning-control-charts/</link><pubDate>Mon, 06 Jul 2026 12:47:58 +0800</pubDate><author>Author</author><guid>https://yao-chih.netlify.app/en/learning-control-charts/</guid><description><![CDATA[<div class="featured-image">
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<p>While attending <a href="/en/the-35th-south-taiwan-statistics-conference" rel="">The 35th South Taiwan Statistics Conference</a>, I first learned about control charts from an experienced professor who had spent many years working in manufacturing environments. Intrigued by the concept, I decided to spend some time organizing my notes and gaining a foundational understanding of what control charts are.</p>]]></description></item></channel></rss>