<?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/f9fee3fcd9f048babcea01edac1c9287&quot; frameborder=&quot;0&quot; width=&quot;1908&quot; height=&quot;1431&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1431</height><width>1908</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1431</thumbnail_height><thumbnail_width>1908</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/f9fee3fcd9f048babcea01edac1c9287-67090a74f3986162.gif</thumbnail_url><duration>395.013</duration><title>Identifying Trends in Global Student Flows 📈</title><description>In this video, I guide you through identifying growing and declining trends in the Global Student Flows dataset. You can explore index reports focused on source or destination locations, selecting time periods from the last three years to projections into 2030. By examining the compound annual growth rate (CAGR), you can pinpoint fast-growing and declining locations. Additionally, I demonstrate how to use the scatter plot to visualize student numbers against growth rates. If you have any questions, please feel free to access our AI assistants at the bottom right of the page.</description></oembed>