Unless you can do that with the raw poll data, but that just confused me.

Thankfully, the data is not quite that crippled! The data is reported in a... 'long' format, I think the term is, where each row is a single poll item response with a unique ID for the respondent. If you want to look at that sort of question, it's up to you to aggregate the data correctly (eg with grep). You can see this by looking at particular unique IDs, say that of Leonhart and anonymous respondent 11:

$ grep Leonhart poll.csv
"Leonhart","538","0","2013-07-14T21:05:29.027196"
"Leonhart","539","0","2013-07-14T21:05:29.118328"
"Leonhart","540","1","2013-07-14T21:05:29.292160"
"Leonhart","541","1","2013-07-14T21:05:29.244125"
"Leonhart","542","3","2013-07-14T21:05:29.178701"
$ grep \"11\" poll.csv
"11","538","0","2013-07-14T21:05:25.150240"
"11","539","2","2013-07-14T21:05:25.302881"
"11","540","0","2013-07-14T21:05:25.533486"
"11","541","1","2013-07-14T21:05:25.458408"
"11","542","2","2013-07-14T21:05:25.398273"

There's 5 entries for each, since there were 5 poll items, and and each poll item has its own unique ID as well. So if you wanted to know the relationship of an answer on poll item #538 and #541 based on how subjects answered #538, you'd get a list of everyone answered "0" in #538, and pull out their answer for #541 as well. That sort of thing.

(And now that I'm the topic, I wonder where my own writings fall, and how I would even know if I were insufficiently writing like Eliezer/Luke/Yvain.)