Yes, I found the Data Analysis cookbook very helpful as well. However, it really drove home to me the need for a dataframe/Pandas-like library in Haskell... About half the code in every one of his examples was reading a CSV file, parsing it into some ad-hoc data structure etc. For very robust production apps, that can be justifiable, but for just a quick look at some data, it should just be a one-liner...
of course that ignoring the fact that I kinda think people say "pandas" as a proxy for "i want a decent multi dimensional aggregation db thats a library for my language"... kinda thing. People say "data frame" but can mean a HUGE range of actual workloads
And wrt syntx sugar for hlists and vinyl, there's some somestuff I hope to get into the merge window for ghc this week that might make that much nicer to work with. I hope.
