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About R

R is a programming language and free software developed by Ross Ihaka and Robert Gentleman in 1993. R possesses an extensive catalog of statistical and graphical methods. It includes machine learning algorithms, linear regression, time series, statistical inference to name a few. Most of the R libraries are written in R, but for heavy computational tasks, C, C++ and Fortran codes are preferred.

R is not only entrusted by academic, but many large companies also use R programming language, including Uber, Google, Airbnb, Facebook and so on.

Data analysis with R is done in a series of steps; programming, transforming, discovering, modeling and communicate the results.

 
  • Program: R is a clear and accessible programming tool
  • Transform: R is made up of a collection of libraries designed specifically for data science
  • Discover: Investigate the data, refine your hypothesis and analyze them
  • Model: R provides a wide array of tools to capture the right model for your data
  • Communicate: Integrate codes, graphs, and outputs to a report with R Markdown or build Shiny apps to share with the world
 

What is R used for?

  • Statistical inference
  • Data analysis
  • Machine learning algorithm

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FAQs of R

  • What is R language stand for?
  • Is R better than Python?
  • Is R and Ruby same?
  • What is R language stand for?
  • Is R better than Python?
  • Is R and Ruby same?

Type of Jobs in R

  • Data Scientist
  • Data Architect
  • Geo Statisticians
  • R programmer
  • Quantitative Analysis with R
  • Data Analyst
  • Data Scientist
  • Data Architect
  • Geo Statisticians
  • R programmer
  • Quantitative Analysis with R
  • Data Analyst

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