<?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/c324ea095f104d999b66f960173a9382&quot; frameborder=&quot;0&quot; width=&quot;1496&quot; height=&quot;1122&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1122</height><width>1496</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1122</thumbnail_height><thumbnail_width>1496</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/c324ea095f104d999b66f960173a9382-fcf0c61d6e8fad99.gif</thumbnail_url><duration>188.481</duration><title>Understanding Validation Providers in Data Analysis 📊</title><description>Hey Scott, in this video, I explain the importance of validation providers in data analysis. I discuss how adding and removing validation columns can impact the data returned in the waterfall setup. I suggest duplicating existing columns to ensure correct logic setup and address issues with missing phone number validations. No action requested from viewers.</description></oembed>