<?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/ce9f394c3abe4a27a67eb8129f74904a&quot; frameborder=&quot;0&quot; width=&quot;1672&quot; height=&quot;1254&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1254</height><width>1672</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1254</thumbnail_height><thumbnail_width>1672</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/ce9f394c3abe4a27a67eb8129f74904a-95a2cf571f28becb.gif</thumbnail_url><duration>504.634</duration><title>Leveraging Smart Columns for Enhanced Data Insights</title><description>In this video, I discuss the importance of having clean and consistent data to derive rich insights. I introduce our smart columns feature, which combines Excel-like functionality with the power of LLMs, allowing for three modes of operation: mappings, formulas, and LLMs. I provide examples of how to use these modes, including mapping language abbreviations and creating Jinja formulas for data transformation. I also highlight the potential of LLMs for tasks like identifying emotions and cleaning text data. I encourage you to explore these features and think about how they can enhance your data analysis processes.</description></oembed>