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What are the best languages for statistical analysis?
5
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Aug 15, 2022
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5
Options
Considered
Best languages for statistical analysis
Price
Versioning
Platforms
--
R
-
3.5.1
-
--
Python
0
-
Windows, Linux, macOS, AIX, IBM i, iOS, z/OS, Solaris, VMS
--
HaskellR
-
-
-
--
MatLab
-
-
Windows, Linux, macOS
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Wolfram
-
-
-
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--
R
My Rec
ommendation
for
R
My Recommendation for
R
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All
3
Pros
2
Specs
Top
Pro
•••
Lots of packages available
There are lots of different packages available that can be easily searched from the CRAN repo site and downloaded, or installed via the R command line interface. These packages are easy to include in a project or source file, and pertain to a wide variety of topics, from classification, social media analysis, and text processing to interactive 3d plotting and networks (including neural nets).
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Specs
Versioning:
3.5.1
Top
Pro
•••
Has a wide range of options when it comes to IDEs/GUIs
Among the IDEs available there are several commercial applications as well as free and/or open-source ones, such as R Studio, which features syntax highlighting, project management capabilities, integrated terminal access, decent code completion and on-the-spot parameter hinting, graphical interfaces for package installation and such, and commendable extensibility/developer support.
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7
--
Python
My Rec
ommendation
for
Python
My Recommendation for
Python
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1
Specs
Specs
Platforms:
Windows, Linux, macOS, AIX, IBM i, iOS, z/OS, Solaris, VMS
Current stable version:
3.9.1
GZipped size:
22.5MB
Typing discipline:
Dynamically typed
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Recommend
1
--
HaskellR
My Rec
ommendation
for
HaskellR
My Recommendation for
HaskellR
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All
1
Pros
1
Top
Pro
•••
All the features of Haskell
Flexibility, type saftety, tooling
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1
--
MatLab
My Rec
ommendation
for
MatLab
My Recommendation for
MatLab
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1
Specs
Specs
Platforms:
Windows, Linux, macOS
Cross Platform:
Yes
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Recommend
1
--
Wolfram
My Rec
ommendation
for
Wolfram
My Recommendation for
Wolfram
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