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Poll Results: Top Languages for Data Mining/Analytics

          

R (used by 45%), SQL (32%), and Python (25%) are top languages for data mining/data analysis. A typical data miner uses 2 languages.

The previous KDnuggets Poll asked What programming languages you used for data mining / data analysis in the past 12 months?

Here are the results, based on 570 voters:

R (257) 45%
SQL (184) 32%
Python (140) 25%
Java (139) 24%
SAS (121) 21%
MATLAB (83) 15%
C/C++ (73) 13%
Unix shell/awk/gawk/sed (59) 10%
Perl (45) 7.9%
Hadoop/Pig/Hive (35) 6.1%
Lisp (4) 0.7%
Other (70) 12.0%
None (7) 1.2%

Notes
Among the top 5 languages, only about 15-25% were used alone.

  • 43.2% of voters used 1 language
  • 24.9% used 2 languages
  • 17.4% used 3 languages
  • 8.4% used 4 languages
  • 6.1% used 5 or more languages
On average, data miners used 2.1 languages.

The breakdown by region is:

  • US/Canada, 42%
  • Europe, 30%
  • Asia, 16%
  • Latin America, 4.9%
  • AU/NZ, 2.8%
  • Africa/MidEast, 3.0%


KDnuggets Home :: News » 2011 » Aug » Top languages for data mining  ( < Prev | 11:n20 | Next > )

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