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Other paid analytics/data mining/data science software (62) Salford SPM/CART/Random Forests/MARS/TreeNet (118)

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Other free analytics/data mining tools (168) SAP _including BusinessObjects/Sybase/Hana_ (225) This includes the tool itself.Ĭommercial | Free/Language | Hadoop tools % Avg N of commercial, Free/Language, and Hadoop tools, both as colored bars and then numbers.% Avg N tools: average number of all tools used.% alone: % of voters who only used this tool.The table below has entries for all tools with at least 50 votes. Does this suggest a gap in capabilities of those commercial tools that users want to fill in with free tools ? With N free tools ranging from 4.4 to 3.6. Very surprisingly, the largest number of different free tools was among users commercial tools: Salford, BayesiaLab, Alteryx, Alpine Data Labs, and Predixion Software.While the smallest (just slightly above 1) are users of The largest number of commercial tool used was for users of free tools

Users of Pig, Mathematica, Mahout, Perl, Other Hadoop/HDFS-based tools, and Orange have used at least 8 tools (vs avg of 3.7). The second group also correlated with tools that were part of larger platforms. Pentaho, Mahout, Mathematica, and IBM Cognos. Other Hadoop/HDFS-based tools, Gnu Octave, KXEN, Pig, Orange, Spark Hadoop, Microsoft SQL Server, MATLAB, Unix shell/awk/gawk, Rattle, The least 'lonely' tools are below (0% lonely - never used alone): The overall average was 29.6% alone, Ntools=3.7. Salford SPM/CART/Random Forests/MARS/TreeNet, 31.4%, 4.3.Alpine Data Labs, 52.3% of voters used it alone, 3.2 tools avg.Next, we examine for each tool, what other types of tools were also used. SAS is used frequently with SAS Enterprise Miner (not a surprise), SAS is used less frequently with R.

We note that R is used a lot with other tools, This heat map was prepared by Ran Bi from NYU.ĭarker colors mean more usage. One way to observe tool co-occurrence is with a heat map - see below. Indeed, meaningful correlations we find confirm that co-occurrence of tools in the same vote is meaningful. Like all craftsmen, tend to learn particular set of tools and use them repeatedly.

Tools were not necessarily used on the same project, but data scientists, The poll question asked about usage over a period of 12 months, so these One interesting question is what tools are used by the same user.

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We prepared an anonymized version of the poll votes - scroll down to the end of the post for instructions on how to download the data. However, regardless of who was in what place, the votes from over 3,000 participants give a lot of interesting data to examine - see our initial analysis below. It received a lot of attention, both from vendors and from the analytics community. What Analytics, Big Data, Data mining, Data Science software you used in the past 12 months for a real project? KDnuggets 15th Annual Software Poll asked