Making big data explanations concrete

I don't know about you, but I'm a pragmatic. I like explanations, guidance, demonstrations to be clear, without any jargon or 'smoke' so that I can grasp and understand clearly what my interlocutor communicates. And one of my frustration within the Big data fuzzy world is that you already have thousands of possibilities, zillions of data sets and nearly that many programming languages in order to process data. If you don't believe me, have a look here below:

But, that being said, let's focus on some clear, straight forward R text data mining solutions that you could find on the Qualitative Research in R blog. Check the link!

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