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A Sample R-project: Mapping Crime Data Using the Leaflet R-library
Case Study: You have been presented with crime data and a researcher wants to extract some insights from the data. To effectively help the researcher, you are supposed to use the Leaflet R-programming library to map the data. After mapping the data, you will write a small report about the findings.
The Crime Data Mapping: Distribution Across Different Continents
Findings of the Mapped Crime Data
To extract insights from the crime data, the Leaflet library of the R-software was used for mapping. Based on the results, North America has the highest crime rates. This is followed by Europe, South America, Africa, and Australia.
In North America, Majority of the crimes seem to happen inland. Not the case with Africa, Australia, Europe, and Asia, and Australia as many of the crimes in these continents seem to happen on the coastline.
In South America, Australia, and Africa, the crime occurrences are sparse and don’t concentrate in one location. However, in North America, the crimes seem to concentrate on specific regions with a few instances in other regions.
The Process of Hiring R Freelancers
Amidst the Increase of Big Data; R-Programming Experts Meet the Complex Analysis Needs
The increase in big data has been overwhelming recently. At the same time, there is increased demand for using the data to make business, research, and economic decisions. To respond to the upsurge of the increasing data, R- a programming software has also been evolving. R-freelancers have leveraged this opportunity to expand their services online. The R-studio software has been ranked among the top 20 data analysis software in the market.
Regardless, although r-freelancers have expanded their presence online, linking with an experienced R-studio wizard is not an easy task. Therefore, in this article, we evaluate the process of connecting with experienced r-freelancers online.
What Qualities Differentiate Excellent R-freelancers from Unexperienced Ones?
R freelancers also known as r studio experts should possess unique skills that can benefit clients across all disciplines. Successful r developers have a strong foundation in disciplines like mathematics, data analysis concepts, and also some other complimentary soft skills that make the working process flawless.
- Statistics: If you want to hire r developer or r freelancer, one of the most important skills is statistics. R freelance career revolves around navigation of complex data sets using advanced statistical concepts. Therefore, a freelancer studio developer should have vast skills in statistical concepts like hypothesis testing, linear regression, probability theory, and causality analysis.
- Data Visualization and Manipulation: Before you think of hiring r programmers, ask yourself, do I need a detailed technical report that I cannot understand or heuristic visualizations that are easy to understand? Most of the time, you will realize you need a simple report and that is where the skills of data visualization and manipulation come in. When hiring any r freelancer or online rstudio developers, ensure that they have vast skills in data visualization and manipulation.
- Database Management: Excellent skills in database management are important for r freelancers. When you hire r programmers, they should have vast skills in SQL, working with real databases like MySQL, PostgreSQL, and Microsoft SQL Server among others.
- Machine Learning and Predictive Analysis: Familiarity with machine learning techniques and predictive analysis is becoming an important skill for r studio experts whether working as freelancers or in-house. Any r freelancer should have good skills in ML models like classification, regressions, clustering, NLP, data mining, and ML algorithm development, among other skills.
- Version Control: R freelancers should be proficient in version control. Though they may not be directly involved in software engineering, an understanding of control systems like Git would be an added advantage. Before you hire r developer, you can ask them for the Git profile you see in their portfolio.
- Problem Solving Skills: R freelancing revolves around solving advanced data and system problems. As such, when hiring a freelance r programmer make sure that they have the ability to solve technical problems with ease.
- Communication and Collaboration: Data analysis is a collaborative type of work. You need data engineers, software Engineers, and possibly r programmers to make the work successful. Therefore, excellent communication and collaboration become essential when hiring candidates online.
How Can You Figure Out the Ideal Freelance Rstudio Developers for You?
Determining the needed skills for your r project is a lengthy process. However, you should first define your problem and set the objectives you need to achieve once you hire a r developer. You also need to ensure that the r engineer you hire is able to handle advanced and complex problems relating to R programming. To make effective decisions you can first consult freelance rstudio developers who will help you in vetting your ideal candidate.
Which One Python or R Developers?
Despite the fact that Python programming software is more popular than R-statistics, each of them is ideal in unique settings. These software packages are not there to compete but to complement each other toward the completion of projects.
In many scenarios, freelancer r programmers also have skills in Python for data analysis or even other analysis software like Tableau, Microsoft Power BI, Stata, SPSS, and others. Below is a table of how you can make a judgement of whether you need to hire r studio expert or a Python developer.
To summarize the table, you can make the following deductions for R developers and Python developers
- R developers: This set of experts focuses on statistical analysis, data visualization, manipulation and data wrangling, and reporting. However, they don’t focus on the development of data storage facilities or advanced data mining projects.
- Python developers: Python developers focus more on developing storage facilities for data, writing ML algorithms, and extracting and mining data from databases.
R Programming Compared to R Data Analysis
Though these two use the same software, that is the R-statistics software package, they have different purposes. However, note that r freelancers can serve as r programmers and r data analysts. Therefore, it depends on your research goals or business case.
For R programming, this involves the development of r custom scripts, functions, and applications. They serve businesses in doing repetitive tasks. R data analysis involves the analysis and reporting of large data sets.
When hiring r developers with the objective of getting r programming services, you can test their ability to code using the r software. However, for r freelancers focusing on data analysis, you can test their abilities by how they handle large data sets.
How to Evaluate A junior and Senior Freelance Rstudio Developer?
For all your projects, you need to make a decision on whether to hire r programmers at a junior level or hire r developers at a senior levels. Regardless, the decision depends on the complexity of your project. Junior developers, thrive well in small-sized projects which are not complex. These projects ought to have structured data and need simple tasks like visualization, manipulation, and reporting.
For senior r freelancers, they focus on advanced projects which include machine learning, financial analysis, the use of complex unstructured data, and technical reporting.
How to Write Your R Freelance Project Description?
After deciding the r freelancer to work with whether junior or senior, you need to develop your job description so that he can fully understand. The following picture shows you how to structure your project.
You need to ensure that you hire r studio expert who understands the job description well and has a portfolio of similar projects. You can also include other information to help the expert understand the project better.
- Your data source
- The industry you work in
- The project timeline and deliverables
- The needed expertise for your r programming project
Which Questions Can You Ask the R Expert to Test Their Competency?
Preparing good questions to ask the ideal candidate will help you select the most qualified r freelancer for your project. You can start the questions by asking the ideal r developer questions relating to the working environment of the software.
- What is your experience with the R –software package in handling large data sets?
- Do you have specific examples of transforming large datasets into understandable information through R-visualization?
- Are you familiar with Shiny? And do you have any dashboards to show?
These questions will help you gauge the r studio expert familiarity with the software package. They should also be familiar with software packages like Plotly, ggplot2, Tidyverse, and more.
Reasons why Researchers, Companies, and Entrepreneurs Hire R Freelancers
Across all industries and the research space, there is a massive increase in data. Businesses strive to use this data to their advantage. For instance, they can use the data to predict markets, get hidden patterns in the business, and do customer analysis. The following are some of the most important reasons for hiring freelance r programmers.
- Identification of hidden patterns from the data
- To help with hypothesis testing and statistical analysis
- To visualize data and help in making informed decisions
- To clean and manipulate data and ensure the company stores clean data
- Help in presenting research results clearly
R freelancers can adapt to any industry since their training is based on specific advanced libraries that help them navigate complex scenarios regardless of their complexity or industry. You can identify and hire any r programming expert online if he passes all the tests described in this article.