“How do you visualize empirical data in a way that is honest, comprehensive and comprehensible? One popular method that is commonly used involve the use of bar charts. However, these can give the misleading impression of precision, obscure distribution of the data, not be all that useful for certain distributions and be strongly affected by outliers.
One potential solution to these problems are box plots. They are insensitive to extreme outliers and can be combined with a ton of different kinds of aspects of the data to ensure that the readers knows everything that they need to know. So what are box plots and how are they calculated and created in statistical programs?”