Choosing the right type of visualization depends on the nature of the dataset and the audience's needs. First, I consider the data type and the message I want to convey. For example, if I'm dealing with categorical data, bar charts or pie charts might be suitable. For trends over time, line graphs are often effective. I also take into account the audience's familiarity with data visualizations. For a technical audience, more complex visualizations like heatmaps or scatter plots might be appropriate, while for a non-technical audience, simpler visuals like bar charts or infographics can be more effective. Additionally, I ensure that the visualization aligns with the key insights I want to highlight, making it easier for the audience to grasp the information quickly.