I’ve been working on additional scatter plot matrix plotting capabilities for the imCorrelations module.
Here is a little preview of a modified gpairs function from the YaleToolkit R package which is used to visualize the Iris data set. This scatterplot matrix allows for many interesting combinations of plots, which can be annotated with colors based on categorical variable(s).
The upper and lower matrix triangles can be modified with a variety of inputs:
- scatterplots: points, best-fit-line, loess, qqplot for linear model residuals, best-fit-line confidence interval, correlation statistics
- conditional plots: boxplot, stripplot, barcode
This can be easily modified to rapidly visualize and overview variable dependencies.
I’ve all ways been fascinated by the use of networks to represent relationships among data objects. Recently I’ve been experimenting with using networks to represent ideas, concepts and knowledge models. FreeMind and Cmap Tools are two freely available and easy to use tools for doing this.
FreeMind only supports hierarchical layouts, but is very easy to use and make beautiful representations of complex ideas.
Cmap Tools is an incredibly expressive tool for making concept maps and knowledge models. I just started using it, but already the possibilities for content types and linked files is very impressive.
This is a blog to document imDEV development and interesting things related to data analysis and visualization.