<?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/400f2efb576745f284ab5b72b54ac4ba&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/400f2efb576745f284ab5b72b54ac4ba-f997ad988cdb79b6.gif</thumbnail_url><duration>392.058333</duration><title>Building charts with SQL | Better Stack</title><description>In this video, I walk you through the process of creating custom dashboards using SQL expressions, focusing on our worker and request logs. We start by setting up a blank dashboard for the product API and then create charts to visualize the average duration of different log types, including custom metrics like P95 and event counts. I demonstrate how to incorporate custom variables for filtering and ensure that both charts update dynamically based on these selections. Please make sure to follow along and replicate these steps in your own dashboards. Let’s enhance our data visualization capabilities together!</description></oembed>