<?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/110c2351a2104cc6a4c09e768544ec91&quot; frameborder=&quot;0&quot; width=&quot;1890&quot; height=&quot;1417&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1417</height><width>1890</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1417</thumbnail_height><thumbnail_width>1890</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/110c2351a2104cc6a4c09e768544ec91-93a4556abb3a0b75.gif</thumbnail_url><duration>183.924</duration><title>Clay Uni - Data Cleaning and Normalization</title><description>Hey, it&apos;s Yash! In this video, I delve into data cleaning and normalization, showcasing how our pre-built functions can simplify the process. I demonstrate how to normalize company names, remove white spaces, and format phone numbers efficiently. No action requested, just enjoy the insights!</description></oembed>