Sturges' theorem

Sturges' theorem is a rule of thumb used in statistics to determine the optimal number of bins for organizing data in a histogram. It suggests that the number of bins should be around \( k = 1 + 3.322 \log_{10}(n) \), where \( n \) is the total number of data points. This helps create a balanced representation of the data's distribution, avoiding too many bins (which can make the data look sparse) or too few (which can flatten important details). Essentially, it guides how to best display data for clearer insights.