What Makes R Programming Important?
With the world fast moving towards better data access infrastructures and algorithms, there is also a spike in the data being produced and the need for more comprehensive data manipulation. The world has moved past Excel and simple MySQL solutions. R is a programming language created for quantitative, statistical computing. It will scour, categorize, and present data quickly.
Speed and good presentation of datasets are built into R programming. However, what makes it stand apart and out from among other statistically competent languages has to be the library it owns.
Through applying statistical libraries (predefined functions that manipulate data variables), R can run operations on arrays of data returning graphical presentation with ease. Analyzing data and visualizing outcomes on beautiful (shiny) interfaces makes it a widely usable language in the workplace. Data visualization, when done right, reduces the decision making time involving large amounts of data. Python is another widely used programming language. It is more generic for data analysis, while R is used more for statistical analysis.
What Goes Into Hiring a Good R Language Developer?
Assuming everyone is in the same geo-location, some considerations activate whenever you're faced with the need for R developers.
- Their desired payment rate is often a strong deciding factor. Some clients associate low rates with less experience and low-quality deliverables.
- Consider how the R programmers will work with your other data scientists, data analysts and software developers
- The turnaround time also holds a strong impact on who gets hired. Urgent project requirements often means vetting fewer R developers
- Some R programmers only come as part of a team. Even when highly rated, they would have to be part of a package deal. Often more expensive than individual talent-based platforms. You may end up hiring more than one developer in the end.
- Extra skills are always attractive. Think of the difference between hiring an exclusively R language developer, vs. a complete statistical programming expert.
When choosing the platform to pick a competent R developer from. How long it takes to hire is not important when they have already qualified the freelancers beforehand. You ought to reserve the option to hire as many developers as you need and maintain creative control. It should still be your project when all the work is done.
Hiring R developers - FAQ
- How Do I Hire R Developers?
Finding and identifying the best R developers for your project is vital, but those aren’t the initial steps in the hiring process. You must first determine project details, such as:
- Nature, scope and goals
- Number of team members and required skill sets
- Hiring and project completion timelines
Consider the pros and cons of hiring freelancers vs. contract-to-hire, part-time or full-time employees. Your local talent pool may lack some specialized skill sets, but you’ll likely find them using worldwide services such as Toptal or some of the other sites on our list.
- Are R Developers in Demand?
Uses for data and statistical analysis continue to evolve as organizations and businesses rely more heavily on data science. The job outlook for R programmers and the field of data science as a whole should rise at a much-faster-than-average rate until at least 2032.
- Why Should You Hire an R Developer?
Businesses in multiple industries use R-based software for statistical analysis and data visualizations. Practical uses include:
- Credit risk and big-data modeling
- Social media platform user analysis
- E-commerce and retail marketing strategies
- Economic forecasting
This powerful programming language is one of the most widely used for statistical data analytics and machine learning.
An R developer can create cross-platform software using this language, providing meaningful, data-backed insights to:
- Increase your organization’s efficiency
- Make informed decisions
- Reduce expenses and increase profits
Google, Microsoft, Facebook and Airbnb use R, so you’ll be in good company.
- How Much Does It Cost To Hire an R Developer?
- In the U.S., an R developer averages $123,147 annually, or $59 hourly. Yearly totals range from $29,000 to $184,000. Differences in location, project complexity, skill levels and years of experience explain this wide margin.