Audience
DevOps teams in need of a statistical computing and graphics solution
About R
R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.
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The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.
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OpenRefine
OpenRefine (previously Google Refine) is a powerful tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data. OpenRefine always keeps your data private on your own computer until you want to share or collaborate. Your private data never leaves your computer unless you want it to. (It works by running a small server on your computer and you use your web browser to interact with it). OpenRefine can help you explore large data sets with ease. You can find out more about this functionality by watching the video below. OpenRefine can be used to link and extend your dataset with various webservices. Some services also allow OpenRefine to upload your cleaned data to a central database, such as Wikidata.. A growing list of extensions and plugins is available on the wiki.
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JMP Statistical Software
JMP, data analysis software for Mac and Windows, combines the strength of interactive visualization with powerful statistics.
Importing and processing data is easy. The drag-and-drop interface, dynamically linked graphs, libraries of advanced analytic functionality, scripting language and ways of sharing findings with others, allows users to dig deeply into their data, with greater ease and speed.
Originally developed in the 1980’s to capture the new value in GUI for personal computers, JMP remains dedicated to adding cutting-edge statistical methods and special analysis techniques from a variety of industries to the software’s functionality with each release. The organization's founder, John Sall, still serves as Chief Architect.
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IBM SPSS Statistics
IBM SPSS Statistics software is used by a variety of customers to solve industry-specific business issues to drive quality decision-making.
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Pricing
Starting Price:
Free
Free Version:
Free Version available.
Integrations
Company Information
The R Foundation
www.r-project.org
Videos and Screen Captures
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Product Details
Platforms Supported
Cloud
Windows
Mac
Linux
Chromebook
On-Premises
Training
Documentation
Support
Online
R Frequently Asked Questions
Q: What kinds of users and organization types does R work with?
R works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does R support in their product?
R supports these languages: English.
Q: What kind of support options does R offer?
R offers support via online.
Q: What other applications or services does R integrate with?
R integrates with: DataWorks, Apache Zeppelin, Atom, Buffer Editor, Codecov, Coveralls, Domino Enterprise AI Platform, Firepad, GraalVM, JetBrains Datalore, JetBrains DataSpell, JMP Statistical Software, JupyterLab, Kodezi, Notepad++, Qt Creator, Replit, RunCode, SlickEdit, Sublime Text, Superwise, Typora, Visual Studio Code, and Zepl and more.
Q: What type of training does R provide?
R provides training in the form of documentation.
Q: How much does R cost?
Pricing for R starts at Free.
