The visualization of complex data is a critical component in civil engineering, where professionals rely on graphical representations to analyze patterns, interpret results, and communicate findings effectively. This chapter explores MATLAB’s extensive visualization capabilities, from basic 2D plotting techniques to advanced 3D graphing methods. These tools empower civil engineers to convey complex information in an accessible and meaningful manner, enabling the analysis of structural behavior, environmental systems, and design optimizations. The chapter begins by introducing fundamental plotting techniques, focusing on 2D visualizations such as line plots, scatter plots, and histograms. It progressively delves into more advanced 3D visualization methods, including surface plots and contour maps, which are essential for modeling and understanding multidimensional data such as topographic landscapes and fluid dynamics. Customization of these plots, such as adjusting colors, axes, and markers, is emphasized to enhance clarity and ensure professional-quality visual representations. In addition, this chapter covers multi-objective optimization visualization, demonstrating how MATLAB can be used to generate Pareto fronts, which provide insight into trade-offs between competing objectives. These techniques are invaluable for civil engineers in decision-making processes where multiple criteria, such as cost and structural efficiency, must be balanced. By the end of this chapter, engineers will be equipped with the skills necessary to utilize MATLAB’s visualization tools to their full potential, transforming raw data into visually compelling and analytically insightful presentations.