Data Science with R

The letter R defines as a language “of environment of graphical representation , statistical representation , statistical computing and designing ”

Ross Ihaka and Robert Gentlemen at the University of Auckland in New Zealand in 1990s they invented a language for their student for statistical purpose called R , the letter R is the initial of both developers name , R is the implementation of S programming language .

R for Data Science

As Data Science is used to represent the data in statistical and graphical form , R is one of the best language/tool to implement/solve the problems related to Data Science , like

  • Linear and non-linear modeling :- With the help of R , you can work with both linear and non-linear data , R can help you on both with linear or non-linear equations.
  • Time-series analysis :- Time series is a series of data that deals with the time series of data , or trending analysis . The meaning of data is in series of particular time period or intervals.
  • Clustering :- Cluster analysis or clustering is the thing of grouping a set of data in such a way that the object in the same cluster.

Why we use R for data science ?

R is one of the most powerful tool used by world’s leading companies to implement or to analyze the data , R language is easy to understand and can easily to exact as per user . R can used in different fields like

  • Finance
  • Genetics
  • Medical Images
  • Social Science
  • High-performance computing

R is one of the powerful language which is used by data scientist from decade , we can use R language with the help of R-studio , R can be used in open source software projects . Data scientist uses R language widely adopted in the field of graphical and statistical reprentation of the data.

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