In this study, we conduct a statistical analysis using the 4-plot, visibility graph, and horizontal visibility graph methods on brine extraction data from the Salar de Atacama basin in Chile. The 4-plot reveals real trends in the data that could lead model proposals. Conversely, complex networks analysis yields no significant findings, suggesting that the data lacks internal structural features and appears random. This randomness underscores the decision-making processes and highlights areas for potential optimization.