A dataset is considered symmetrical when the distribution of its values is uniform around its mean or median. This means that the data values are evenly distributed on both sides of the central point, resulting in a balanced and symmetrical shape when visualized on a graph. Symmetrical datasets are often easier to analyze and interpret because the central tendency and spread of the data are more easily noticeable. Examples of symmetrical distributions include the normal distribution, the uniform distribution, and the symmetrical triangular distribution.
