The layer of Earth's atmosphere known as the ionosphere presents a significant obstacle to global satellite navigation systems (GNSS) due to its ability to introduce errors. To address this challenge, various navigation systems have introduced new signals designed to minimize errors caused by the ionosphere. These signals not only aid in error reduction but also facilitate the examination of electron content behavior. This research focuses on the analysis of ionospheric maps obtained from RINEX data collected at the INEG station in Aguascalientes, Mexico, from 2011 to 2018, with a particular emphasis on highly intense geomagnetic storms characterized by values below -100 nT. The analysis of these maps employs the Probability Density Function (PDF), which allows for the representation of data distribution on graphs. This distribution is then examined in conjunction with the station's Total Electron Content (TEC) values and the Dst index during the corresponding geomagnetic storm events. The findings establish the correlation between each of these parameters during such events.