<?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/166352c553424ab3b33b1f47c28a825c&quot; frameborder=&quot;0&quot; width=&quot;1152&quot; height=&quot;864&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>864</height><width>1152</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>864</thumbnail_height><thumbnail_width>1152</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/166352c553424ab3b33b1f47c28a825c-8bcbb5b88e1e66a7.gif</thumbnail_url><duration>362.635</duration><title>MODULE 2 - 3: Creating Bar Plots</title><description>In this video, I walk you through the process of creating bar plots on the Pulsenics dashboard&apos;s analytics page. I demonstrate how to use both single point and range markers to visualize data, specifically focusing on metrics like mean, maximum, minimum, and standard deviation. I also show how to select specific parameters, such as DC voltage and electrolyte resistance, to generate meaningful plots. If you&apos;re interested in learning how to create data markers, please refer to my previous video. I encourage you to try these steps on your own to enhance your data analysis skills.</description></oembed>