Sturges' rule

Sturges' rule is a guideline used in statistics to determine how many groups or bins should be created when organizing data into a histogram. It suggests that the number of bins should be approximately equal to \(1 + \log_2 N\), where \(N\) is the total number of data points. This method helps balance detail and clarity, avoiding overly broad or overly narrow groupings. Using Sturges' rule helps analysts choose a sensible number of categories that reveal patterns in the data without unnecessary complexity.