This chapter introduces the concept and application of stacked bar plots in cultural data science, with a focus on museum datasets. Stacked bar plots allow for the visualization of how categories (e.g., departments) and subcategories (e.g., acquisitions) vary over time. Using the MoMA dataset as an example, this chapter demonstrates step by step how to create and interpret these plots, from initializing a data matrix to filling it with acquisition counts for each department by year. The visualization highlights acquisition trends and priorities within a museum’s collection over time.