<?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/aff63cf657104b23a86eb6e1de7ffdf0&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/aff63cf657104b23a86eb6e1de7ffdf0-1687785245376.gif</thumbnail_url><duration>563.466</duration><title>Smiley&apos;s Electronics February Sales Report Walkthrough 📈</title><description> Hi, I&apos;m Zach and in this Loom, I&apos;m going to walk you through the Smiley&apos;s Electronics February Sales Report. As a data analyst, I was tasked with answering some key questions about the company&apos;s performance, such as what products make up the majority of national sales and what states and cities perform the best and worst. I had to prepare the data by downloading necessary CSV files and specifying the relationship between them. I also had to create calculated fields and product groups to help me analyze the data. In the end, I used the RankFunks function to rank the high fives and provide an overview for the national sales manager. Watch this video to see how I did it!</description></oembed>