<?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/d74e17f4eeb640efaafc050c7e62e8bd&quot; frameborder=&quot;0&quot; width=&quot;1662&quot; height=&quot;1246&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1246</height><width>1662</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1246</thumbnail_height><thumbnail_width>1662</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/d74e17f4eeb640efaafc050c7e62e8bd-0565b91e326fb313.gif</thumbnail_url><duration>302.961</duration><title>Canadian Housing Observatory Data Comparison Dashboard</title><description>This Loom presents the Canadian Housing Observatory dashboard and explains how it helps compare housing and land use data that is otherwise not widely accessible. The author describes a simple comparison matrix that lets users compare one set of variables against another over time, including features such as region changes, map export, CSV or Excel download, and a table view. They demonstrate the interface using Alberta and Edmonton, comparing average property value with low-rise residential land use. The example shows how the map and census tract views can indicate whether low-rise residential is or is not a leading indicator for housing value, with options like auto-scaling.</description></oembed>