Choosing the right type of visualization depends on several factors, including the nature of the dataset and the audience's needs. First, I consider the type of data I have. For instance, if it's categorical data, bar charts or pie charts might be appropriate. For time series data, line graphs are often useful. Next, I think about the message I want to convey. If I need to show trends or changes over time, a line graph is effective. For comparisons, bar charts are helpful. I also take into account the audience's familiarity with data visualizations. For a non-technical audience, I might choose simpler visuals like bar charts or pie charts, whereas for a more technical audience, I might use scatter plots or heatmaps to show more complex relationships. Ultimately, the goal is to make the data as clear and accessible as possible to support informed decision-making.