<?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/ea692688199d424b8339d60d42e98933&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/ea692688199d424b8339d60d42e98933-00001.gif</thumbnail_url><duration>271.808</duration><title>Data Analytics: Cleaning Up Your Data Sets</title><description>Hi, this is Adrian Padua, a problem solver in the Google data analytics program. In this video, I&apos;ll show you the crucial step of cleaning up data sets. As data analysts, we need accurate answers, and that starts with clean and easy-to-read data. I&apos;ll demonstrate how to remove duplicates, ensure accurate ratings, and format latitude and longitude coordinates. Watch and learn how to clean up your data for better analysis.</description></oembed>