this paper will present a one year research on the visualization of the entire collection of covers of the Veja magazine, considered the most important weekly magazine in Brazil. The visualization that we created in our Lab at the Federal University of Juiz de Fora (www.ufjf.br/sws) analyses and demonstrates practical uses for cultural visualization, since we can have critical analytical details about all the covers such as the gender that is more frequent in the covers (masculine), the colors that the magazine uses regularly etc. We can also use image recognition algorithms so we can cross data with wikipedia, for example, and discover who was more frequently featured in the covers: e.g. politicians or media stars.