Predicting earthquakes is critical, particularly in high-risk nations, and despite significant efforts, it has yet to be realized. Nonetheless, there is a scarcity of statistical methodologies in seismic investigations, to the point that an old idea is accepted without testing. Exploratory data analysis (EDA) was used to examine seismic recordings in Japan in terms of magnitude and timing. EDA is a parametric statistical method that uses data features to conduct data-driven investigations. The distribution style of each dataset was established, and the key factors were identified. This allowed us to detect and assess irregularities in the data. Swarm earthquakes occurred at very high frequencies before to the massive 2011 Tohoku earthquake.
Drastic changes before the 2011 Tohoku earthquake, revealed by exploratory data analysis
Reply