![]() Surface Plotĭisplaying a 3 dimensional object is perhaps the most obvious use case for using 3D visualization. Another alternative would be to play with the color or size of the dots to convey further labels of a third variable. I would much rather recommend remaining with a 2D plot, plotting each variable of the third axis on a separate graph. However, even this is not always a good idea, because unless the graph is interactive like the one shown above, it can project misleading information depending on the angle of how the visualization is presented. Here is a blog that highlights this argument well. When attempting to discover the possible correlation of clusters across three dimensions, 3D plots can be quite useful. **However, both cases should ideally have an interactive feature that allows the user to rotate the visual as an animation. ![]() Surface plotting (to display the coordinates of a 3D object).Multivariate analysis (to see how clusters are formed).I think there are two instances in which it would make sense to use 3D. The general sentiment shared amongst the data science community is that in most instances, 3D graphics create confusion rather than to add valuable insight. This is a case where a 2D visual would have conveyed the same information - perhaps more clearly - than a 3D graph. Some bars are hidden behind others, and the shadows of a bar appears to have a slightly elevated value compared to the non-shadowed portion. However, it is rather difficult to read the precise fluorescent intensity metric for each bar. In another blog that explores 3D graphics in more detail, the author walks you through examples of cases where turning a perfectly informative 2D visual into 3D can make things rather complicated, confusing, and unnecessary.įor example, here is an example of a 3D bar graph that is referenced in the blog:Īt first glance, it looks kind of pretty. With all the magical tools available at our disposal, it is very easy to create awesomely complex looking charts and graphs that add no value. Why? In one blog article titled “Should You Use 3D Charts?” the author writes: Many data analysts and data scientists dislike 3D visualizations. The debate on 3D visualizations- how useful are they? However, there is also a growing trend to displaying 2D data in 3D format for pure aesthetics. While most conventional plots displays the relationship between two (plotted on the x and y axis), 3D plots leverage three axes (x, y, and z). For example, 3D plots can often be used to show a relationship across three variables. Image credit: What is a 3D visualization?Ī 3D visualization adds an added layer of dimensionality to a 2D visual.
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