{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/7abf66c1feb343dbacee994caf7bd61a\" frameborder=\"0\" width=\"1888\" height=\"1416\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1416,"width":1888,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1416,"thumbnail_width":1888,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/7abf66c1feb343dbacee994caf7bd61a-0387b69e4e716c2b.gif","duration":240.5386,"title":"Understanding Box Plots","description":"In this video, I explain how to interpret box plots, focusing on key statistical values such as the median, quartiles, and extremes. I provide an example using the academic reputation box plot, highlighting five significant values: maximum, top quartile, median, bottom quartile, and minimum. I illustrate how to assess an institution's performance based on its position relative to these values, such as being in the top 25% or the bottom 25% of peers. For any additional questions, I encourage you to click on the orange QS logo at the bottom right of the page to access our chatbot and our library of help articles and video tutorials."}