R-Programming Expert | Data Scientist | Financial Analyst | Researcher

R programming: Find and Hire a R Studio Expert Online

R-programming software is used for data analysis, statistical analysis, computational analysis, data visualization, and machine learning. Having a tutor or an r studio expert who can help you learn or complete your projects is an ideal prospect.

On top of being a programming language, R- statistics can be used to implement graphical techniques, linear and non-linear models, and clustering which can help researchers get informed insights from their data.

What are the Responsibilities of R-Programming Experts?

R-programmers leverage the availability of big data to help businesses make informed decisions. They extract meaningful information from the data through advanced data analysis and techniques using the r-programming software.

The interactive nature of the R software alongside the R-studio editor is ideal for making plots, graphs, and data structures. Therefore, after the long process of data mining, cleaning, summarization, and categorization, R-programming experts apply statistical techniques to visualize and analyze the data to get insightful information.

In your research or business, if you need to understand your customer behavior, your research findings, your business predictions, market performance, or business gaps, you can hire an R- programming expert to help you.

What Do I Look for When Hiring an R-programming Freelancer?

• The R-programming expert must be familiar with the features of the language, its capabilities, and its application in various industries
• The expert must have vast skills in data mining, data analysis, and statistical analysis concepts, and possibility probability and statistics concepts
• A solid background in mathematics, programming, data management, and software development using the R-programming language would be an added advantage
• Excellent communication, time management, problem-solving techniques, and resilience are some of the soft skills the expert should also have

What Are the Most Used Cases of R-programming Software?

• Statistical analysis and data visualization
• Data cleaning and transformation
• Supervised and unsupervised machine learning
• Regression and predictive analysis
• Sentiment analysis
• Financial analysis
• Market basket analysis
• Business analysis

What are the Most Important R-programming packages?

R-programming boasts many packages that make data science projects easy to handle. All these packages are designed to handle different tasks.

• dplyr: A package for data manipulation in R, providing functions for filtering, arranging, summarizing, and joining datasets.
• ggplot2: A powerful package for creating data visualizations in R, emphasizing a grammar of graphics approach for flexible and customizable plots.
• tidyverse: A collection of R packages, including dplyr and ggplot2, designed to work together seamlessly for data manipulation, visualization, and analysis.
• tidytext: A package for text mining and analysis in R, providing tools for tokenization, sentiment analysis, and other text-related tasks while following tidy data principles.
• stringr: A package for string manipulation in R, offering functions for pattern matching, substitution, and other operations on character strings.
• rmarkdown: A framework for creating dynamic documents in R, allowing integration of R code, text, and visualizations to produce reports, presentations, and other output formats.
• lubridate: A package for handling date and time data in R, providing functions to parse, manipulate, and calculate dates and times.
• catool: A package for categorical data analysis in R, offering tools for descriptive statistics, contingency table analysis, and visualization of categorical data.
• leaps: A package for subset selection in regression analysis in R, providing functions to perform exhaustive searches or forward/backward stepwise selection of predictor variables.
• rpart: A package for building recursive partitioning models, particularly decision trees, in R for predictive modeling and classification tasks.
• metrics: A package for evaluating predictive models in R, offering functions to calculate various performance metrics such as accuracy, precision, recall, and ROC curves.
• corrplot: A package for visualizing correlation matrices in R, providing functions to create color-coded correlation plots and explore relationships between variables.

The AfroResearch Inc. R-programming Services

At AfroResearch Inc., we appreciate our association with you. We value your time and agree that you need quality work.

Our experts are well-vetted and industry and academic-savvy to ensure that they give you the best in all your R-programming projects.

To work with our experts, you only need to live chat with us and connect with an R-programming expert with whom you will agree on your project and start working immediately.