Good graphics often exploit a simple graphical design repeated for different parts of the data, which Edward R. Tufte dubbed the use of small multiples. In Stata small multiples are supported for different subsets of the data through by() or over() options of many graph commands: users can...

Good graphics often exploit one simple graphical design that is repeated for different parts of the data, which Edward R. Tufte dubbed the use of small multiples. In Stata, small multiples are supported for different subsets of the data with by() or over() options of many graph commands; users...

Many, perhaps most, useful graphs compare two or more sets of values. Examples are two or more groups or variables (as distributions, time series, etc.) or observed and fitted values for one or more model fits. Often there can be a fine line in such comparisons between richly detailed graphics...

How to plot (and summarize) univariate distributions is a staple of introductory data analysis. Graphical (and numerical) assessment of marginal and conditional distributions remains important for much statistical modeling. Research problems can easily evoke needs for many comparisons, across...

How to plot (and summarize) univariate distributions is a staple of introductory data analysis. Graphical (and numerical) assessment of marginal and conditional distributions remains important for much statistical modeling. Research problems can easily evoke needs for many comparisons, across...

Functions in Stata range between those you know you want and those you don't know you need. The word "functions" is heavily overloaded in Stata; here the focus is on functions' strict sense, _variables, extended macro functions, and egen functions. Often Stata users in difficulty are seeking...