A study of data from the Kaggle customer data clustering dataset (https://www.kaggle.com/datasets/imakash3011/customer-personality-analysis), looking for patterns, behaviors, and information that may be useful. Throughout the document, different sections can be seen, highlighting the EDA part and the creation and evaluation of clustering models.
The Exploratory Data Analysis part searches for patterns in the variations of the variables, relationships between them, and performs a deep featuring engineering. The model part creates different model options (KMeans, DBSCAN and AHC) both using PCA and without using it, studying the different results and obtaining conclusions.