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    <p>There's probably a more elegant way to do this, but this ought to work: </p> <pre><code># here I'm generating some example data set.seed(5) topic_list1 &lt;- paste(sample(letters, 20, replace=T), sep=";") topic_list2 &lt;- paste(sample(letters, 15, replace=T), sep=";") # I don't make the tables right away tl1 &lt;- unlist(strsplit(topic_list1, split=";")) tl2 &lt;- unlist(strsplit(topic_list2, split=";")) big_list &lt;- unique(c(tl1, tl2)) # this computes your frequencies lbl &lt;- length(big_list) tMat1 &lt;- matrix(rep(tl1, lbl), byrow=T, nrow=lbl) tMat2 &lt;- matrix(rep(tl2, lbl), byrow=T, nrow=lbl) tMat1 &lt;- cbind(big_list, tMat1) tMat2 &lt;- cbind(big_list, tMat2) counts1 &lt;- apply(tMat1, 1, function(x){sum(x[1]==x[2:length(x)])}) counts2 &lt;- apply(tMat2, 1, function(x){sum(x[1]==x[2:length(x)])}) total_freqs &lt;- rbind(counts1, counts2, counts1-counts2) # this makes it nice looking &amp; user friendly colnames(total_freqs) &lt;- big_list rownames(total_freqs) &lt;- c("topics1", "topics2", "difference") total_freqs &lt;- total_freqs[ ,order(total_freqs[3,])] total_freqs d l a z b f s y m r x h n i g k c v o topics1 0 0 0 0 0 2 1 1 1 1 2 2 1 1 1 1 2 2 2 topics2 2 2 2 1 1 2 1 1 1 0 1 1 0 0 0 0 0 0 0 difference -2 -2 -2 -1 -1 0 0 0 0 1 1 1 1 1 1 1 2 2 2 </code></pre> <p>From there you could just use the straight numbers or visualize them however you want (e.g, dotplots, etc.). Here's a simple dotplot: </p> <pre><code>windows() dotchart(t(total_freqs)[,3], main="Frequencies of topics1 - topics2") abline(v=0) </code></pre> <p><img src="https://i.stack.imgur.com/vaOX1.png" alt="enter image description here"></p>
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    1. COThis might be a great SO answer, but on this site it at least needs some explanation about what it's doing. You seem to be dodging the key part of the question: exactly how can one visualize the results?
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    2. COI suppose I'm assuming it will end up migrated. The difference in the counts is "a way to compare the two frequencies". As far as how to compare them graphically, that seems obvious at this point, but I can add a plot.
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    3. COI was thinking that the question of graphical display might be open to some creative answers :-).
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