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Grids are poor at representing continuous or non-linear data, as they often impose a rigid structure that can oversimplify complex relationships. They may also struggle with capturing spatial or temporal nuances, particularly in diverse or irregularly shaped datasets. Additionally, grids can obscure patterns and trends that do not align with the grid's uniform divisions, leading to potential misinterpretations.

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1w ago

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