<?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/35ede52cb33e4672a0cf069c96d464d9&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/35ede52cb33e4672a0cf069c96d464d9-00001.gif</thumbnail_url><duration>256.166687</duration><title>Visualizing Data Challenges and Solutions 💡</title><description>In this video, I demonstrate common issues with thin white lines in visualizations and how to address them. I present two scenarios, one involving aggregate tables and another with incomplete data sets, showcasing how to adjust queries for better visual results. No action requested, just insights on optimizing visualizations.</description></oembed>