<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/44d2f508b0aa4f6d8698db727c995dd4&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/44d2f508b0aa4f6d8698db727c995dd4-58463a620675efca.gif</thumbnail_url><duration>149.8</duration><title>RE36 React Historical Trend Analysis Qlik App</title><description>In this video, I introduce the React Historical Trend Analysis Click App, designed to analyze downtime trends over longer periods efficiently. The app allows for in-depth analysis of downtime data, enabling users to identify root causes, track improvements, and make informed decisions to reduce downtime. No specific action is requested from viewers.</description></oembed>