<?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/4d49ebbc73364a2bb2ffb7172e367f9a&quot; frameborder=&quot;0&quot; width=&quot;1624&quot; height=&quot;1218&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1218</height><width>1624</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1218</thumbnail_height><thumbnail_width>1624</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/4d49ebbc73364a2bb2ffb7172e367f9a-89f24d9830bc4a95.gif</thumbnail_url><duration>383.893</duration><title>Getting Started with Alkemi</title><description>In this video, I walk you through the Alkemi Datalab interface, demonstrating how to upload a CSV file and analyze data. I use a consumer price index historical data CSV to filter and group categories by their percent change over the years, ultimately creating a new table with the results. I also show how to visualize this data as an interactive bar chart for better understanding. I encourage you to explore the features of Alchemy Datalab, such as mentioning data assets in chat threads and visualizing results. Please take a moment to try uploading your own data and experimenting with the analysis tools available.</description></oembed>