The ultimate guide to hiring a web developer in 2021
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R Programming Language is a programming language used for statistical computing and advanced data analysis. It is the language of choice for many data analysts and statisticians, allowing them to work with large amounts of data quickly and efficiently. The language provides a platform for manipulating, displaying and presenting statistical datasets related to various disciplines such as mathematics, computer science and engineering.
An R Programmer can create many types of statistical calculations such as linear and nonlinear models, hypothesis tests and experiments, clustering, classification and regression trees. Additionally, they can make custom metrics more accessible through the writing of functions, plots and charts to make them easier to read and interpret. Plus they can take data from various sources like text files, database systems or HTML webpages and transform it into tidy sets ready for further action. Of course all of this can be done with careful formatting in order to achieve the best possible results unlocking valuable insights from ever-increasing amounts of data around us.
Here's some projects that our expert R Programmers made real:
By hiring an R programmer on Freelancer.com, you get access to a versatile set of solutions tailored specifically to your needs that help you make sense of your data in a more meaningful way. This way you can draw important conclusions easily while freeing up resources that you can use in other endeavors. So if your business requires someone experienced in R Programming Language then why not give it a try and post your project on Freelancer.com?
De 36,287 opiniones, los clientes califican nuestro R Programmers 4.8 de un total de 5 estrellas.R Programming Language is a programming language used for statistical computing and advanced data analysis. It is the language of choice for many data analysts and statisticians, allowing them to work with large amounts of data quickly and efficiently. The language provides a platform for manipulating, displaying and presenting statistical datasets related to various disciplines such as mathematics, computer science and engineering.
An R Programmer can create many types of statistical calculations such as linear and nonlinear models, hypothesis tests and experiments, clustering, classification and regression trees. Additionally, they can make custom metrics more accessible through the writing of functions, plots and charts to make them easier to read and interpret. Plus they can take data from various sources like text files, database systems or HTML webpages and transform it into tidy sets ready for further action. Of course all of this can be done with careful formatting in order to achieve the best possible results unlocking valuable insights from ever-increasing amounts of data around us.
Here's some projects that our expert R Programmers made real:
By hiring an R programmer on Freelancer.com, you get access to a versatile set of solutions tailored specifically to your needs that help you make sense of your data in a more meaningful way. This way you can draw important conclusions easily while freeing up resources that you can use in other endeavors. So if your business requires someone experienced in R Programming Language then why not give it a try and post your project on Freelancer.com?
De 36,287 opiniones, los clientes califican nuestro R Programmers 4.8 de un total de 5 estrellas.I need a baccarat simulation designed specifically for statistical analysis. The primary aim is to gather and analyze data on the game. Key Requirements: - Focus on statistical metrics: - Win/loss ratios - Betting patterns - Probability distributions - Provide raw data output for further analysis Ideal Skills: - Experience in game simulation development - Strong background in statistics and data analysis - Proficiency in data output formats and structures
I have a collection of relational-database exports and sizeable spreadsheets that need to be explored, cleaned, and turned into clear, actionable insights. Your task is to: • Prepare the data (handle missing values, remove duplicates, standardise formats). • Perform exploratory and descriptive analysis that highlights key trends, outliers, and correlations. • Present findings in a concise report supported by well-labelled visualisations; an interactive dashboard in Power BI, Tableau, or similar is welcome but optional. • Supply the underlying, fully commented Python (pandas / NumPy / matplotlib or seaborn) or R script so I can reproduce the results. I will share the structured data and a short context document once we start. Insightfulness, clean code, and a vis...
I am looking for an experienced freelancer with expertise in *clinical trial biostatistics* and *R programming* to complete a small statistical analysis task using a clinical trial dataset. The task may involve data preparation, statistical analysis, and generating tables, listings, figures, or graphs in R. The exact requirements and dataset will be shared with the selected freelancer due to confidentiality. *Required Skills:* • R Programming • Clinical Trial Data Analysis • Biostatistics • Statistical Analysis • Data Visualization (ggplot2 or similar) • Descriptive Statistics • Regression Analysis • Survival Analysis (Kaplan–Meier and Cox models) • Data Manipulation (dplyr/tidyr) • Clinical Research ...
I need detailed weekly locate reports. These reports should include: - Statistical Summaries: Focused on comparative statistics. - Data Sets: Comparative statistics should be between data sets for the same week across different weeks. Ideal skills and experience: - Data analysis expertise - Proficiency in statistical software - Experience in report generation Looking for freelancers who can deliver accurate and timely reports. Please share relevant experience.
I need an expert to optimize a series of Customer-Experience (CX) reports currently built with a mix of technologies (SQL, Python, R, etc.). The current issues include slow performance during data refresh/filter operations and misaligned layouts. I’m looking for thorough enhancements to ensure seamless interactivity and better performance. Here’s what I need: - Analyze the current codebase to identify bottlenecks and formatting issues. - Refactor queries/scripts for faster refresh rates and perfectly aligned visuals. - Enhance the data set by validating sources, improving joins/calculations, and ensuring robust analysis-ready datasets. - Prefer experience with tools like Power BI, Tableau, Advanced Excel for report development. - Documentation of all updates made for easy futu...
I need a performance analyst who can break down ice hockey games with a strong blend of data and video expertise. The main focus is performance analysis, zeroing in on three key areas: • Athlete statistics – pull skating speed, time on ice, shot quality, Corsi/Fenwick, and similar metrics, then translate the numbers into simple insights coaches can act on. • Game strategy – dissect forecheck and back-check patterns, zone entries/exits, line match-ups, and special-teams setups to reveal what drives results. • Training efficiency – connect practice data to game performance so we know which drills move the needle. Preferred tools include Hudl, Sportscode, R or Python for custom metrics, and Tableau or Power BI for clear dashboards, but I’m open to ...
I’m sharing a Technology-sector opening at micro1 that I can personally refer the right freelancer for. The role centres on Data Analysis, with day-to-day work involving hands-on Data Cleaning, Building Dashboards and carrying out Statistical Analysis. If you have a solid track record turning raw datasets into meaningful insights—think Python or R for wrangling, SQL for querying and a dashboarding tool such as Tableau, Looker or Power BI for visual storytelling—let’s talk. I’ll review your background, make sure it aligns with the job’s technical expectations and, once we’re both confident, submit a formal referral through micro1’s internal system. Deliverables I need from you before I can proceed: • A concise résumé (PDF)...
I have a series of Customer-Experience (CX) reports that were built by someone else and I’m running into two persistent headaches: the layouts never look quite right and the whole thing slows to a crawl whenever I refresh or filter the data. I’d like you to dive into the existing codebase—whatever language or mix of SQL, Python, R, or something else it was written in—and clean it up so the reports render cleanly, run quickly, and draw from a richer, better-structured data set. Here’s what I need from you: • Audit the current report logic and pinpoint the root causes of the formatting problems and performance issues. • Refactor or rewrite the underlying scripts/queries so visuals line up perfectly and refreshes complete in a reasonable time. &b...
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