what is R programming?
R is a programming language and software environment for statistical computing and graphics. The R language is widely used by data scientists, statisticians, data miners, and data engineers for developing statistical software and performing data analysis.R’s numerous abilities tend to fall into three broad categories:
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Manipulating data
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Statistical analysis
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Visualizing data
Some features of R programming language are:
- R provides extensive support for statistical modelling.
- R is a suitable tool for various data science applications because it provides aesthetic visualization tools.
- R is heavily utilized in data science applications for ETL (Extract, Transform, Load). It provides an interface for many databases like SQL and even spreadsheets.
- R also provides various important packages for data wrangling.
- With R, data scientists can apply machine learning algorithms to gain insights about future events.
- One of the important feature of R is to interface with NoSQL databases and analyze unstructured data.
Most common Data Science in R Libraries:
- Dplyr
- Ggplot2
- Esquisse
- Shiny
- readr
- lubridate
- jsonlite
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