Marginal distribution refers to the probability distribution of a single variable within a dataset, ignoring the influence of other variables. It provides insights into the overall behavior of that variable by summing or integrating the joint probabilities across the other variables. For example, in a dataset involving age and income, the marginal distribution of income would show how income levels are distributed regardless of age. In statistical analysis, marginal distributions are useful for understanding individual characteristics and making comparisons. They can be visualized using histograms or bar charts, allowing researchers to identify trends and patterns in the data. This concept is fundamental in fields like statistics and data science.