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What Makes R So Special For Business Analytics Operations
R is the most predominantly used programming language for Business Analytics. Being an open-source programming language which is specially designed by and for statisticians makes R as the best fit programming language for business analytics. R is a widely preferred language by, statisticians, data analysts, and also by Data Scientists next to Python.
The striking features of R that led to its popularity are
- R Is An Open-Source Software
Bing an open-source programming language, R can be used by everyone. This means programmers or analysts have all the rights to do whatever modifications they wish for with R. Another noticeable feature here is that R can be easily integrated with other systems. Most of the data analysts will find R apt to analyze data which is distributed across different platforms like SAS, SPSS, SQL Server, Oracle or Excel.
- R Programming Is Designed For Data Analysis
As mentioned earlier, R is one among the most widely used programming languages for data analysis. It consists of several advanced algorithms that support the execution of operations like data retrieval, processing, analysis and high-end statistical graphics.
Also, having in-built functions like mean, median, distributions, covariance, regression makes it ideal for analysts and as well as for statisticians. Using R, data analysts can combine their results with various analytical methods to reach out to accurate conclusions.
- R Programming Is Object-Oriented
R programming comes with several complex object-oriented programming facilities. One thing which we need to notice about R is that it makes use of generic functions for OOP, unlike other languages that use class hierarchies for the same. Compared to Python R may have many limitations, but its prominence in handling analytics operations cannot be ignored.
- R Language Produces High-End Graphics
Working with R programming is also a lot of fun as it stimulates a well flexible graphical environment. With the help of R, analysts can work on bar plots, pie charts, histograms, time series, dot charts, image plots, 3D surfaces, scatter plots, maps, etc. Also, customization of graphics is a lot easier with R, unlike any other programming languages.
If you are curious towards excelling in a career as a Data Scientist, then knowing of R is very crucial in addition to Python. Learn the analytics programming applications in R right from scratch by being a part of the advanced Data Science Training In Hyderabad program by Kelly Technologies.