Quick Exploratory Analysis of Categorical Data Does anyone know of a tool (preferably free) that does quick analysis of exploratory data mainly categorical with date. Using R and Python I can create time series and histograms, perform tests such as z and t. However a quick drag and drop tool would take away the coding aspect. I like Tableau and MiniTab but they are expensive. 
Thanks!
 A: The best thing to do is make facetted barcharts, which is easy enough to do in R, with ggplot2, or with the ggpairs function in the GGally package (for multivariate categorical data). The plot below shows survey responses to liking different subjects by different types of students. You can see that there are roughly two groups, one set tends to like GEO, BIO, CHEM, and the other set ALG, GEOM, STAT, with slightly less association between STAT/ALG.

Also look at the ggfluctuation2 function in GGally for examining the joint distribution between multiple categorical variables. Mosaic plots in vcd, or productplots packages. And hammock plots  (fairly flat lines for first three vars, and second three vars, with lots of cross-over between vars 3-4 indicates the two groups), parallel sets plots, common angle plots, and common angle plots in the package ggparallel. Also look at the extracat package in R and associated paper here JSS Pilhofer&Unwin for various types of plots for categorical data. 
