How do you choose between 2D and 3D visualization?

Choosing between 2D and 3D visualization depends on the complexity of the data and the information you want to convey.

The choice between 2D and 3D visualization is largely determined by the nature of the data you're working with and the message you want to communicate. 2D visualizations are typically simpler and easier to understand, making them a good choice for straightforward data sets or when you want to highlight specific, clear-cut trends or comparisons. They are also more suitable when dealing with data that has two dimensions, such as time-series data or geographical data.

On the other hand, 3D visualizations can be more engaging and visually appealing, which can make them a good choice for presentations or situations where you want to make a strong visual impact. They can also be useful for displaying complex data that has three dimensions. However, they can also be more difficult to interpret correctly, and there's a risk of obscuring important information if not designed carefully.

When deciding between 2D and 3D, it's also important to consider your audience. If your audience is not familiar with reading 3D visualizations, or if the 3D aspect doesn't add significant value to the understanding of the data, it might be best to stick with 2D.

Another factor to consider is the tools and resources available. 3D visualizations can require more advanced software and technical skills to create. If you're limited in these areas, 2D might be the more practical choice.

In summary, while 3D visualizations can provide a more immersive and detailed view of data, they are not always the best choice. It's important to carefully consider the nature of your data, the message you want to communicate, your audience, and your resources when deciding between 2D and 3D.