<?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/1a5aa659682f466b9b91ccf20affdbcc&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/1a5aa659682f466b9b91ccf20affdbcc-00001.gif</thumbnail_url><duration>300.067</duration><title>Health Data Analysis Update</title><description>This week, I provide an update on the health data analysis I&apos;ve been working on. I discuss the new factors I&apos;ve added to the dashboard, such as stress level, fatigue level, and frequency of medical check-ups. I also explain the health equity analysis, which includes factors like financial background, access to healthy food, and educational background and medical information comprehension. The video concludes with a preview of a new component for creating surveys using survey.js which is a paid service but I&apos;m exploring open source alternatives. Watch the video to learn more about the progress and insights gained from the analysis.</description></oembed>