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Large-scale surveys have brought about a revolution in astronomy. To analyse the resulting wealth of data, we need automated tools to identify, classify, and quantify the important underlying structures. J plots can classify and quantify a pixelated structure, based on its principal moments of inertia. This enables us to automatically detect, and objectively compare, centrally condensed cores, elongated filaments, and hollow rings. A Python code is available on GitHub with examples of how to analyse 2D or 3D datasets, enabling an unbiased analysis and comparison of simulated and observed structures.