<?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/24ea11512b1b49cf8a7495f7e4fee2a4&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/24ea11512b1b49cf8a7495f7e4fee2a4-5a24ec02be4a5b44-full.jpg</thumbnail_url><duration>528.433333</duration><title>Mastering Data Interpretation: Strategies for Success</title><description>In this video, I discuss my experience with the Data Interpretation (DI) section of the GCE test, highlighting the significant challenge I faced with timing, particularly with graph interpretation and table analysis questions. I realized that I was spending around 3 to 4 minutes per question, which limited my attempts to only about 20 questions. To improve, I practiced extensively using Scholarinium, focusing on medium and hard questions while developing a strategy to skip overly complex ones. I also emphasized the importance of analyzing my quiz responses to avoid repeating mistakes. I encourage viewers to adopt similar strategies to enhance their performance in the DI section.</description></oembed>