<?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/efb54cf6c7444fdc8eaa7da509059a78&quot; frameborder=&quot;0&quot; width=&quot;1034&quot; height=&quot;775&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>775</height><width>1034</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>775</thumbnail_height><thumbnail_width>1034</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/efb54cf6c7444fdc8eaa7da509059a78-194cf278725ea0e6.gif</thumbnail_url><duration>517.653</duration><title>Malloy Notebook / Dashboard Overview</title><description>In this video, I demonstrate how to effectively use Malloy to create powerful, code-driven dashboards that provide deep insights and informed decisions. We explore the Auto Recalls dataset, breaking down the structure of a Malloy notebook, which includes code cells for queries and markdown for narrative. I highlight the fast feedback loop enabled by the Malloy VS Code extension, allowing for rapid development and iteration. Finally, I show how to serve the dashboard using Malloy Publisher, transforming it into a live, interactive data experience for consumers. I encourage you to explore this workflow to turn your analysis into a durable, trustworthy data asset.</description></oembed>