Thanks to my student Marie Halbich who took the pains to collect the data! At times, your data set will be in “wide” format, i.e, many columns in comparison to rows. For some analyses however, it is more suitable to have the data in “long” format. That is, many rows in comparison to columns. Let’s have a look at this data set, for example. d <- read.csv("https://sebastiansauer.github.io/data/facial_beauty_raw.csv&#34;) This is the data from a study tapping into the effect of computerized “beautification” of some faces on subjective …