{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/c269b015379f4a5a9cf9b053045d4291\" frameborder=\"0\" width=\"1908\" height=\"1431\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1431,"width":1908,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1431,"thumbnail_width":1908,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/c269b015379f4a5a9cf9b053045d4291-89afb1da514d4772.gif","duration":222.93,"title":"Interpreting Heatmaps in Rankings Datasets","description":"In this video, I explain how to interpret the heat map from our rankings datasets. The heat map uses a gradient where brighter yellow indicates top performance and darker brown shows lower performance. I walk you through the various controls available, such as selecting rank, percentile, or score, and how to customize the view by choosing benchmark peers and periods. Additionally, I highlight the option to copy data to clipboard or download it as a CSV, even without full dataset access. Please explore these features to enhance your analysis of university performance over time."}