Parallel coordinates plotting is one of the most popular methods for multivariate visualization. However, when applied to larger data sets, there tends to be a “black screen problem,” with the screen becoming so cluttered and full that patterns are difficult or impossible to discern. Xie and Matloff (2014) proposed remedying this problem by plotting only the most frequently-appearing patterns, ...

After some suitable ordering of the residuals, et, t = 1, . . . , n, it is suggested that scatter plots of et+1 vs. et along with a robust smooth loess trend be routinely examined to check for lack of statistical independence. Such plots may be termed Poincaré plots because of their similarity to plots used in nonlinear dynamical systems. Poincaré plots are helpful in detecting positive correla...

Funnel plots are a visual tool for investigating publication and other bias in meta-analysis. They are simple scatterplots of the treatment effects estimated from individual studies (horizontal axis) against a measure of study size (vertical axis). The name “funnel plot” is based on the precision in the estimation of the underlying treatment effect increasing as the sample size of component stu...

Scatter plots are mostly used for correlation analysis, but are also a useful tool for understanding the distribution of high-dimensional point cloud data. An important characteristic of such distributions are clusters, and scatter plots have been used successfully to identify clusters in data. Another characteristic of point cloud data that has received less attention so far are regions that c...

This writing discusses the appearance of peaks and valleys in Allan deviation plots (also known as sigma-tau, root Avar, or Adev plots). This distinctly oscillatory pattern, especially at long-term T-values, usually means the presence of quasi-sinusoidal frequency modulation of an oscillator’s signal. However, quasi-sinusoidal oscillatory behavior in sigma-tau plots at long 7 may be due t o sta...