Summary statistics provide a simplified overview of complex datasets by highlighting key figures such as averages and correlations, yet can be misleading if used in isolation without considering the data's overall distribution. Anscombe's Quartet exemplifies this, as four datasets with identical summary statistics reveal vastly different patterns upon visualization, underscoring the importance of graphically representing data to uncover underlying relationships. Similarly, the reported average starting salary for law graduates can misrepresent the actual distribution, which is bimodal with peaks at around $50,000 and $160,000, suggesting a need for deeper analysis beyond mere averages. Visualizing data not only offers a clearer understanding of the dataset but also reveals potential inaccuracies or biases, prompting further inquiry and ensuring that summary statistics serve as a useful component in a broader data analysis strategy.