This chapter provides a practical guide to building four essential types of plots commonly used in statistics: histograms, boxplots, q − q plots, and pair plots. It starts with an in-depth explanation of histograms, detailing steps from determining bin width to constructing the final plot. The chapter then discusses boxplots, emphasising their components and usage for identifying data distribution characteristics, including outliers. q − q plots are introduced as tools for assessing data conformity to theoretical distributions. Finally, pair plots are explained as a method for visualising relationships between multiple variables simultaneously. Each section includes practical examples and tips for effective data visualisation.