<?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/fa81ef93bda0472d9013ca632401d89b&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/fa81ef93bda0472d9013ca632401d89b-00001.gif</thumbnail_url><duration>503.10300000000007</duration><title>Attributes and Importing Data: Methods and Tips</title><description>In this video, I will discuss two methods for importing data into our system: using a CSV file and performing a cleanup exercise. I will explain where to find the data and how it can be populated from different sources. Additionally, I will demonstrate how to clean up attribute labels and merge categories to ensure clean data for analytics. I will also provide tips on exporting and cleaning data in CSV format. Finally, I will guide you through the process of mapping and importing the data into our platform, including handling duplicate records and creating new attribute labels.</description></oembed>