Data analysis and visualization of real data is important when it comes to teach and learn social
phenomena, such as migration, unemployment, poverty, etc. The interdependency of the variables
allows for the use of multivariate techniques along with rich and authentic data from official
agencies or other data providers. However, certain phenomena are confidential at individual level,
or are not easy to capture, so raw data is not always available for certain types of data. The
purpose of this paper is to share a teaching experience at the tertiary level using individual data of
migration, where students explore several socioeconomics aspects related to migration in the
overall population dynamics using micro and macrodata.