StatGL Graphical Library: A foundation for online graphical data analysis


    Online version with shared and private data, software, solutions, methods, and graphics

    Online version with dedicated server and private social network

    Offline version with private resources, data, software and analysis

  • Display Groups in Animation:
  • To compare the difference between groups, we may apply different colors or symbols in a plot. When there are many groups, it will be difficult to visualize the difference clearly. An alternative is to apply animation, where we may watch one or two groups in one frame. We may continuously play the movie in the evaluation of a set of grouping variables.

  • Spatial Data:
  • Apply spatial-temporal visualization and modeling methods to space-time data. Overlap statistical graphics with Google Maps to study the real time geographical information and the regional disparity. Study the fitted map, the residuals and the impacts from other variables.
  • Brush and Refit:
  • In regression, we often find that there are records not following the modeling assumption. To study the impacts from such records, we have to evaluate their sensitivity on the fitted model. One way is to apply the bush-and-refit, where a set of targeted outliers are brushed and a new fit is derived. A large difference in the fits indicates a large departure from the modeling assumption.
  • Dropout Data:
  • Linked dynamic graphics for the analysis of dropout data. Apply animation for visualizing the sensitivity of modeling assumption. Evaluate the relationship between the normal curvature (an indicator for influential cases) and the imputed missing values.