Improving your coding skills in any programming language is essential as writing coding is the holistic process of converting thoughts from human-readable logic to machine-readable language. Code development is popular as it has tremendous ways that programmers always wanted to improve their interests. It may be time-consuming sometimes but once your code becomes reusable it helps you save a lot of time by allowing us to implement it in various projects. Numerous benefits are there when you improve your programming skills and, in this article, we are going to explain why you shouldn’t forget to improve your R programming skills for securing a futuristic career.
Know the ways how to improve
R programming language has various ways to perform a task efficiently by saving memory, faster execution, and implementation of libraries and algorithms. We can execute code parallelly in R language and it allows lengthy processes like fitting models to be executed parallelly which saves a lot of time. R has more features for executing tasks faster based on the logic and packages. Knowing the differences between packages like dplyr and sqldf helps you implement them as per the need.
Developing robust code
Practicing hard coding leads you to lose interest in coding as it requires a lot of human intervention. Whereas, practicing soft coding is recommended for programmers as it makes you a specialist by writing simple but situation-specific codes. In R programming, there is an issue called Code Portability. The program that you wrote on one computer may not work with another computer as it doesn’t have the exact package or outdated package. Hence, checking the installed packages first and installing the required package before executing the code helps you improve your programming skills in R.
Know when to use shortcuts and when it should not
The right practice of coding is understanding when to use the shortcuts and when not to. Using shortcuts will be helpful as Ctrl+L clears the console output screen and Ctrl+Shift+C comments and un-comments the selected lines of code in the windows of RStudio. Some shortcuts will help fix code or write faulty fixes that are not required in the project.
The following code helps change a particular column name without checking its previous one
name
colnames(data_f) [5] = “new_name”
The knowledge of applying shortcuts along with the place where they should be used is helpful too.
Learn to reduce effort by reusing codes
Learning with code reusability helps you save a lot of time and effort in code development in R. It might be the code that you have developed already or the code that is available in the library or the community of R language. Learn to look up the solutions that are available already along with their pros and cons by implementing them in your small projects. Because it is equally important in writing code that you know how to make use of the code reusability feature in R.
Develop well-planned code
Developing code on the go might be cool but it will never help in writing efficient codes. It is very important for you to know well about the code you are about to write. Planning the logic on a piece of paper before implementing it in code will help improve your coding skills. Improving the habit of including the tabs and required spaces for formatting the code properly makes you an expert in coding. In R, you can add indents for loops and conditional statements for clear visibility on the codes. Practice adding comments when you use functions and modules helps you write documentation properly. Learning at R Programming Training Institute in Chennai helps you gain equipped coding skills through hands-on exposure to proper coding.
Accept and Grow with Peer Reviews
One can’t be a better programmer when he is not sharing or accepting reviews from peers as it improves the ability of teamwork. The code you have developed may be straightforward but it seems difficult to understand by your peer. Knowing what others think about your code helps you improve your coding skills and makes you a better coder every time. You can change the existing codes with efficient code by the reviews of your teammates. There will be more chances for growing through it.
The Scope of R Programming
R Programming is an effective tool that is used widely in data science and statistical analysis. Following are the reasons to encourage you to improve your R coding skills.
Growth of data science and it is the right time for beginners and professionals
Wide range of job profiles that bring a good-pay salary
Very relevant programming tool for the future in data analysis
Useful tool for important businesses like healthcare, banking, and social media
Almost every top company is using R programming and hiring certified R professionals
Conclusion
You can improve your R programming skills by increasing your coding experience, committing time to learn every day, having the right resources and packages, increasing digital literacy, and enhancing exposure through real-time project practices. Join SLA Institute for the Best R Programming Training in Chennai with satisfying hands-on exposure.
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