… at least in my biased population. It came from a file containing all the people interested by ISAL and that I had to parse (the file, not the people). It’s a tab-delimited file with the names, e-mail addresses, location, interests, etc (in total, 379 unique e-mail IDs). I used Python for that purpose.
Since I had all the e-mail addresses in a Python set (*), I decided to do some stats. I know it’s useless but here are the results: 30.34% of Hotmail accounts, 27.18% of Yahoo ones, 7.39% of Gmail ones, 7.12% of Rediffmail ones (a popular e-mail service in India) and “only” 7.65% of KULeuven ones. As we can see, members mainly use free e-mail accounts (probably because the majority of them are students – the “S” in ISAL). And less than 10% of members come from the KULeuven, although ISAL is a students organisation from Leuven (the “L” in ISAL). Of course, R can produce nice charts. And since its documentation states that pie charts are “a very bad way of displaying information”, I also produced a regular bar plot.
With that very interesting information in mind, I’ll now be able to go to sleep (and work, because there is a lot of work that is waiting for me, this month!).
(*) a set is interesting because it could not contain duplicates and the file does contain duplicates.