<?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/320dd899e4104429a4b310114b9159be&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/320dd899e4104429a4b310114b9159be-58ebe349efe11381.gif</thumbnail_url><duration>1762.25</duration><title>Impact of Car Features on Price &amp;amp; Profitability  📊</title><description>In this video, I delve into the world of data analysis using Microsoft Excel, focusing on a dataset with 11,915 observations and 16 variables related to car manufacturers. I explore market categories, pricing strategies, and consumer demand trends to optimize profitability. Through evidence-based strategies and statistical analysis, I showcase the power of Excel in handling regression analysis and descriptive statistics. The video guides viewers through tasks like data cleaning, visualization, and creating interactive dashboards, offering valuable insights for decision-making.</description></oembed>