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...

Design plots, as defined in this article, show summaries of a response variable given the classes or distinct levels of numeric or string variables presented as influencing factors. Any summarize results can be plotted using statsby as an engine to produce summaries for groups of observations...

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...

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...

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...

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...

The time variable is most commonly plotted precisely as recorded in graphs showing change over time. However, if the most interesting part of the graph is very crowded, then transforming the time axis to give that part more space is worth consideration. In this column, I discuss logarithmic...