Choosing the right type of visualization depends on the dataset and the audience's needs. First, I consider the nature of the data: whether it's categorical or numerical, and if I'm looking to show relationships, distributions, or comparisons. For instance, bar charts are great for comparing categories, while line graphs work well for trends over time. I also think about the audience's familiarity with data visualizations. For a technical audience, more complex visualizations like scatter plots might be appropriate, whereas for a non-technical audience, simpler visuals like pie charts or infographics might be more effective. My goal is always to make the data as clear and insightful as possible for the intended audience.