Here we have variable plots showing the values for each variable within each cluster. These provide an idea of the distribution of values within within our clusters
for(plot_name in names(attr(results,'variable_plots'))){ cat(sprintf("### %s \n\n",plot_name)) print(attr(results,'variable_plots')[[plot_name]]) cat('\n\n') }
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