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...

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...

The display of data or of results often entails the preparation of a variety of table-like graphs showing both text labels and numeric values. I will present basic techniques, tips, and tricks using both official Stata and various user-written commands. The main message is that whenever graph...

The display of data or of results often entails the preparation of a variety of table-like graphs showing both text labels and numeric values. I will present basic techniques, tips, and tricks using both official Stata and various user-written commands. The main message is that whenever graph...

The display of data or of results often entails the preparation of a variety of table-like graphs showing both text labels and numeric values. I will present basic techniques, tips, and tricks using both official Stata and various user-written commands. The main message is that whenever graph...

Describing batches of data in terms of their order statistics or quantiles has long roots, but remains underrated in graphically-based exploration, data reduction and data reporting. Hosking in 1990 proposed L-moments based on quantiles as a unifying framework for summarizing distribution...

Data on three proportions, probabilities, or fractions that add to 1 can be projected from a simplex to the plane and represented in a two-dimensional plot, commonly known as trilinear, triaxial, triangular, etc. The Stata program triplot has been available for some years as one way to produce...

Circular statistics are needed when one or more variables have outcome space the circle, which is for example true for data measured with reference to compass, clock or calendar. Applications abound in the Earth and environmental sciences, not to mention economic and medical fields well...

Describing batches of data in terms of their order statistics or quantiles has long roots, but remains underrated in graphically-based exploration, data reduction and data reporting. Hosking in 1990 proposed L-moments based on quantiles as a unifying framework for summarizing distribution...