<?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/26422384303c4438b93e133fbe5de142&quot; frameborder=&quot;0&quot; width=&quot;2100&quot; height=&quot;1575&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1575</height><width>2100</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1575</thumbnail_height><thumbnail_width>2100</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/26422384303c4438b93e133fbe5de142-1a54a0ea2c7ac906.gif</thumbnail_url><duration>132.5032</duration><title>Employee Count Discrepancy Investigation 👩‍💻</title><description>Hey there! I noticed a discrepancy in the employee count data after enriching it for companies with 10,000 or more employees. Despite filtering, many companies ended up having fewer employees. I explore the difference between employee range and size, highlighting issues with the data accuracy. I aim to filter the list for companies with 10,000 to 15,000 employees for a specific project. Could you help me understand why this discrepancy exists?</description></oembed>