Exploratory data analysis (EDA) is the process of analyzing data to understand the characteristics and relationships between the data using visualizations or descriptive statistics. Under visualization we can imagine the use of various graphs and tables, as well as histograms, box plots, or scatter plots. Descriptive statistics takes into account parameters such as mean, median, variance, standard deviation, or quartiles.
Thanks to the EDA method, we can uncover exceptions, deviations, and unusual trends in the data and patterns, making it a key phase in the data analysis process. EDA also serves to identify missing values and detect inconsistencies in the data.