<?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/67bff7f3a92a47c6bde8e84cd8cf565c&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/67bff7f3a92a47c6bde8e84cd8cf565c-d7c7d24c25276465.gif</thumbnail_url><duration>271.4923</duration><title>TTC State Car Delay Project Overview 🚗</title><description>In this video, I discuss our project titled &quot;TTC State Car Delay,&quot; which I worked on with three other team members. My main responsibilities included reviewing and cleaning up 12 datasets from 2014 to 2025, addressing issues like inconsistent column titles and varying time formats. I merged the data into a single CSV file, standardized the column names, and converted time to a 24-hour format. Additionally, I created new features such as rush hours and month numbers to enhance the dataset. I encourage viewers to review the cleaned data and provide any feedback or questions they may have.</description></oembed>