Pros and Cons of R Programming Language – Unveil the Essential Aspects!
In this article, we will discuss the various pros and cons of the R language. We will first go through the various advantages that the R language provides to us and then we will have a look at some of the negatives of this language i.e disadvantages of R.
As we all know that R language is making its unique space in the programming world, which shows its importance. But it is a universal fact that each technology utters some positive as well as negative aspects. The same thing applies to R programming. There are some pros and cons of R programming which proves the fact to be right.
Before exploring the advantages and disadvantages of R, you must know Why Learn R Programming
Pros and Cons of R Programming Language
R is one of the most popular languages for statistical modeling and analysis. But like every other programming language, R has its own set of benefits and limitations.
In this article, we will discuss the weighing of the pros and cons of R programming against each other. R is a continuously evolving language. This means that many of the cons will gradually fade away with the future updates of R.
Advantages of R Programming
Various benefits of R language are mentioned below, which will help you to grasp the concept:
1. Open Source
R is an open-source programming language. This means that anyone can work with R without any need for a license or a fee. Furthermore, you can contribute towards the development of R by customizing its packages, developing new ones and resolving issues.
2. Exemplary Support for Data Wrangling
R provides exemplary support for data wrangling. The packages like dplyr, readr are capable of transforming messy data into a structured form.
You must definitely gain the knowledge of R Data Structures
3. The Array of Packages
R has a vast array of packages. With over 10,000 packages in the CRAN repository, the number is constantly growing. These packages appeal to all the areas of industry.
4. Quality Plotting and Graphing
R facilitates quality plotting and graphing. The popular libraries like ggplot2 and plotly advocate for aesthetic and visually appealing graphs that set R apart from other programming languages.
5. Platform Independent
R is a platform-independent language. It is a cross-platform programming language, meaning that it can be run quite easily on Windows, Linux, and Mac.
6. Machine Learning Operations
R provides various facilities for carrying out machine learning operations like classification, regression and also provides features for developing artificial neural networks.
R is prominently known as the lingua franca of statistics. This is the main reason as to why R is dominant among other programming languages for developing statistical tools.
Don’t forget to check the Statistical Programming in R
8. Continuously Growing
R is a constantly evolving programming language. It is a state of the art that provides updates whenever any new feature is added.
Disadvantages of R Programming
1. Weak Origin
R shares its origin with a much older programming language “S”. This means that it does not have support for dynamic or 3D graphics.
2. Data Handling
In R, the physical memory stores the objects. This is in contrast with other languages like Python. Furthermore, R utilizes more memory as compared with Python. Also, R requires the entire data in one single place, that is, in the memory. Therefore, it is not an ideal option when dealing with Big Data.
Learn to be a Data Science Ninja by completing 240+ Python Programming Tutorials
3. Basic Security
R lacks basic security. This feature is an essential part of most programming languages like Python. Because of this, there are several restrictions with R as it cannot be embedded into a web-application.
4. Complicated Language
R is not an easy language to learn. It has a steep learning curve. Due to this, people who do not have prior programming experience may find it difficult to learn R.
5. Lesser Speed
R packages and the R programming language is much slower than other languages like MATLAB and Python.
The algorithms in R are spread across different packages. Programmers without prior knowledge of packages may find it difficult to implement algorithms.
In this article, we went through the essential pros and cons of R programming. We got to know the positive aspects of R Language which place us a step ahead towards generating our interest in learning R. We also inferred many of its weaknesses but, most of them are under the correction phase through several upgrades and further development. Therefore, many of the limitations will be eradicated in the future.
Now, its time to learn about the Applications of R and find out which top companies are using R.
If you’re having any type of difficulties in the above-mentioned points then let us know in the comment section. Our experts will assist you in the best possible way.