Sturges' Rule is a guideline used in statistics to determine the optimal number of bins for a histogram. It suggests that the number of bins (k) can be calculated using the formula k = 1 + 3.322 * log10(n), where n is the number of data points. This helps in effectively visualizing the distribution of data. The rule is particularly useful for datasets that are normally distributed. By following Sturges' Rule, statisticians can create histograms that balance detail and clarity, making it easier to interpret the underlying patterns in the data without overwhelming the viewer.