title: is Haskell suitable for statistic analysis
body: <p>The question is in the Title. Basically I'm looking for an alternative to R.
  I've been using R a bit, there are some really good stuff about it (especially data.frame plyr and ggplot), however I really love Haskell and type inference, so I was wondering if using Haskell to do "simple" statistic analysis would be a good choice.</p>
  
  <p>My basic needs are :</p>
  
  <ul>
  <li>read/write CSV</li>
  <li>import SQL table</li>
  <li>do some basic 'mapReduce' on the data. Which where R is great but I assume Haskell should be equally good.</li>
  </ul>
  
  <p>However my experience with Haskell is everything is fine until you process realworld data. You always encounter performance issue (and soonish) because even though in theory you should write functional code and don't worry about what's the computer is doing, if you don't and don't use the appropriate library and are not an Haskell expert, stuff are damned slow.</p>