In most lists of the most popular software for doing data analysis, statistics, and predictive modeling, the top software tools are Python and R—command line languages rather than GUI-based modeling packages. There are several reasons for this, perhaps most importantly that they are free, they are robust programming languages supported by a very broad user community, and they have extensive sets of algorithms. One recent survey of software was published at r4stats.com (http://r4stats.com/articles/popularity/) and contains additional metrics not usually found in software comparisons, including scholarly articles that include software, google scholar hits, and job trends in addition to the more
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