R Script Writer for Advanced Data Analytics Coder

@ASirbescu

Hello there, With a plethora of hands-on experience in data analysis and statistics, I am equipped to deliver exceptional value in creatively grappling with the necessary analysis you need for your dataset. I have honed my R-scripting skills over the years, which ensures that I am not restricted by presenting your data solely by pre-existing representations or packages, as this task call for. My expertise in backend development using Python and PHP further reinforces my suitability for this project. The ability to build robust server-side systems and efficiently manipulate large quantities of data has proven valuable in my career. My previous projects required me to deal with suspicious values, transforming datasets, and generating insightful reports about a dataset - core components of this project. Lastly, my flexibility as a full-stack developer and understanding of technologies like React.js and Node.js means that once we unearth significant insights from your data with R scripting, I can easily help implement the resultant solutions into scalable web applications if need be. My focus on secure and clean code ensures end-to-end reliability in all tasks, aligning perfectly with your project expectations. Best regards, Alex.

@WebDevAri

Hi there, I've carefully reviewed your detail and csv file. I can provide an R script that fully handles your dataset analysis and visualization requirements. The script will first calculate the percentage of complete cases across the dataset. It will summarize the number and percentage of patients from each site. I have some questions. What's the first column before person_id column? Why it doesn't monotonically increases? Best regards, Arijan K.

@OWINOKAMAU

With my solid background in data analysis and R programming, I am confident that I am the right R script writer for your demanding data analytics project. Throughout my 10-year career, I have handled a range of rigorous statistical analyses and produced insightful visualizations from complex datasets similar to yours. Precisely, the tasks you’ve mentioned align greatly with the type of investigations I have conducted frequently. Utilizing R's versatile capabilities combined with my sharp data mining skills, I will deliver a detailed exploration into your dataset.

@khaliduom103

‎Hi i am an experienced R and Rstudio analyst for regression analyst  with PhD in applied mathematics and data analyst.I can help your data in R coding, optimization, numerical analysis،simulation of the CSV files. ‎

@AhmadXpert2410

Hi there, I understand you need a clean, well-structured R script that performs comprehensive exploratory data analysis, including handling missing data, calculating complete case percentages, deriving age metrics by site, and generating insightful visualizations. Your requirements also involve identifying suspicious values, standardizing gender encoding, and analyzing relationships such as age vs wellbeing with proper statistical interpretation. I have strong experience in R for statistical analysis, data cleaning, and visualization using packages like dplyr and ggplot2. My approach will be to write modular, reproducible code that clearly answers each question step-by-step—starting from data validation, then computing summary statistics, handling outliers, and finally producing high-quality plots and correlation insights that are easy to interpret. Beyond just coding, I will ensure the results are logically explained (especially correlations and patterns), and that the script is reusable for future datasets. The final deliverable will be clean, well-commented, and aligned with best practices so you can confidently use or extend it further. Regards, Ahmad

@kaimenyijohn5

AM READY TO START ASAP: COMPREHENSIVE R SCRIPT FOR DATA ANALYSIS – COMPLETE CASE REPORTING, DESCRIPTIVES, VISUALIZATIONS & OUTLIER HANDLING Hello, I am John K., an MSc Economist & Statistician with over fifteen years of experience as a full-time freelancer. I specialize in statistical analysis using R and have successfully delivered 1,000+ projects on Freelancer.com, maintaining a 4.9-star rating. I have the expertise and proven track record to handle your data analysis requirements with precision and professionalism, ensuring results that meet your exact expectations. I am ready to begin immediately. Let's connect via chat to discuss your project in detail—I will provide a customized approach and deliver results that exceed your requirements. Respectfully, John K.

@mutahrar

Hello, I have reviewed your detailed requirements for an R script to analyze the provided dataset across ten specific tasks. With extensive experience in R programming and statistical analysis, I am confident I can deliver a clean, well-commented script that performs all requested calculations, visualizations, and data cleaning steps efficiently. I understand the need for clear outputs including percentages, summary statistics, and professional plots. My approach will structure the script sequentially to address each question: calculating complete cases percentage; patient counts by site; age calculation with summary statistics per site; histograms and boxplots (or density plots) for overall and site-stratified age distributions; identification of suspicious values with recommendations; removal of outliers and recalculation of age statistics; gender category counts and percentages; pattern detection in gender encoding with standardization code; scatterplot of age vs wellbeing with correlation and interpretation; and finally stratified scatterplots by gender with observations noted. I will ensure all visualizations are publication-ready and all statistical outputs are clearly labeled. I am ready to begin as soon as you share the dataset.

@networktso

Hi, I,m saqib javaid and I am your Advanced Data Analytics R script writer. With expertise in R programming, I employ a logical and attentive approach to observational data analysis. Having fluency in SQL, Python & the various statistics packages used in R, I ensure that my analysis is compact, accurate & delivered in record time. My entire career has been focused on conducting impactful research and transforming complex data into actionable insights. Your project needs just that uncovering trends and patterns of your patient data to help make informed decisions about your dataset. My previous collaborations included projects with similar objectives, where I efficiently collated & analyzed large volumes of healthcare data to produce powerful visualizations such as density plots, box plots and scatterplots. best regards, saqib j.

@naveedali0188

As an experienced and highly skilled professional, I am confident that I could be the perfect fit for your R script project. With a solid background in Management Science and proficiency in R programming, I have dealt with a wide variety of data analytics tasks that your project entails. For the past decade, my work has demanded a mastery in statistics and data management — all skills essential to meet your project's requirements. Notwithstanding the technical adeptness, what sets me apart is my ability to think strategically while delivering practical solutions. I have employed AI integration and automation tools in various projects that would greatly expedite your advanced data analytics needs. Moreover, having led over 100 projects, from web development to implementing AI chatbots, I have honed my problem-solving acumen and can efficiently troubleshoot and optimize the outputs from your dataset. Let me round off this sales pitch with my genuine passion for your project. Data analysis can yield powerful insights but also comes with complexity. Therefore, I offer a meticulous approach to ensure accuracy in every facet of the job. Hiring me means guaranteeing not just quality execution but also added value through innovative ideas to enhance your data analysis process.

@ffulb

Your R analytics project needs someone who can handle the complete data pipeline - from cleaning missing values and outliers to generating stratified visualizations and correlation analysis. I'll build this using R with ggplot2 for the histograms/boxplots, dplyr for data manipulation, and custom functions to standardize your gender encoding issues. I built a price aggregation system that processes 800+ data points daily with automated outlier detection and statistical analysis, plus content automation that handles data quality checks across multiple sources. You can see my work at ffulb.com. Can deliver the complete R script within 2-3 days with all 10 analysis points covered and clean visualizations ready.

@mahads31

Hi, I took the time to review your project and it’s clear that this is completely doable with the right development approach. I have strong expertise in R Programming Language, Data Mining, Statistical Modeling, Data Visualization, Data Science, PHP, Data Analytics, Data Analysis, Statistics and Statistical Analysis and specialize in building efficient, modern, and scalable web solutions. My work focuses on clean development, responsive design, optimized speed, and a user-friendly interface to ensure everything runs smoothly and professionally. I’m confident I can deliver a high-quality result that meets your expectations. Best regards. Mahad Sheikh

@nguyenphuclam06

Hello, I’m Lâm, a data analytics specialist with strong R scripting and data visualization experience. I’ll deliver a compact, well-documented R script that answers all requested questions for the wellbeing_data dataset, with clear outputs and reproducible code. The solution plan: ✔ Load and summarize data, compute complete-case percentage, site-wise counts, and age statistics (mean, median, min, max) per site. ✔ Stratified histograms/boxplots (or density plots) of ages by site, with sensible axis labels and legends. ✔ Detect and remove suspicious values, then report how age metrics change post-cleaning. ✔ Tabulate gender counts and percentage per gender, and diagnose encoding patterns with a robust standardization approach. ✔ Scatterplot of age vs wellbeing, with correlation and interpretation guidance. ✔ Stratified scatterplots by gender to reveal patterns, plus a concise interpretation. I’ll provide the final R script, inline comments, a short usage guide, and a sample of the resulting outputs. Availability: I can start immediately and deliver within a compact 5-day window, with quick chats as needed. What is the preferred encoding for gender and any site-specific coding conventions we should align to? Best regards, Lâm

@dorofiip

Hello there What method will you prefer for identifying and removing suspicious values in the dataset Are there any specific age ranges or outlier thresholds to consider for filtering data Cleaning and analyzing this kind of clinical data is challenging because missing or unrealistic values can skew results and affect insights. Also, stratifying data by site and gender requires precise handling to maintain accurate subgroup analysis. I can write clean R scripts to handle all these data tasks and produce your requested statistics and plots quickly. I would be happy to discuss further on chat.

@rupasurya7

Hello I am interested in this project. I have completed masters in Statistics and have basic as well as advanced knowledge and work experience in statistical analysis techniques. I have worked on Many medical research projects. I will provide you the exact results with interpretations. Thank you.

@antonyh5

Hello, I’ve reviewed your R Script Writer project. I can deliver a clean, well-documented R script that computes completeness, per-site counts, age statistics, stratified plots, outlier handling, gender encoding normalization, and age-wellbeing relationships with clear interpretations. I will structure the script with modular functions for data cleaning, summaries, visuals, and a concise results report. The plan: 1) verify data, 2) compute complete cases, 3) summarize by site, 4) derive ages and summary stats, 5) generate histograms/boxplots, 6) detect/remove outliers and compare stats, 7) tabulate gender counts and encoding checks, 8) standardize encoding, 9) correlate age with wellbeing and create stratified visuals, 10) provide an interpretation guide and reproducible code. I will output ready-to-run R code with comments and minimal external dependencies.

@luism576

❗❕‼️⁉️ Hello ⁉️‼️❕❗ As a professional AI Developer and ML Engineer with significant Full Stack Proficiency, my skill-set lends itself perfectly to the tasks you outlined. My experience in TailwindCSS and React will ensure that any visuals I create for you are not just informative but also visually appealing. I have a deep understanding of data analytics, and last year alone, I developed 36 R scripts for various organizations for similar purposes. I'll be able to generate insightful graphs, histograms, box plots and calculations with precision. What sets me apart from other candidates though is my capacity to deliver more than code. With a solid foundation in backend development using FastAPI, Flask, Django and Node.js, I can structure your data infrastructure efficiently ensuring you get even more than 'just' the analytics you're requesting. This is an opportunity to build a thoughtful and adaptable system for your data that goes beyond quantifying what you have to transforming your enterprise practice. My ability to build production-ready AI systems that scale businesses is something that can significantly benefit your Data Analytics needs. You should choose me because I deliver end-to-end, scalable solutions - which is not just about working on the code but collaborating with you to identify pain points in your procedures and addressing them fully. Security concerns are not an issue when it comes to me; this is due to my expertise in AWS and Warm regards!

@rafaels105

Hello, As a seasoned Full Stack Developer and AI Specialist, I offer much more than just a "R Script Writer for Advanced Data Analytics". My purpose is to bring innovation, performance, and seamless user experience to every project I undertake. Over the past 10+ years, my commitment to building intelligent, scalable, and high-performing digital products that align with business objectives has been unwavering. Regarding your specific needs, I may not be an R expert, but my skills in Python, deep databases (MySQL, PostgreSQL, MongoDB), RESTful APIs, and AI & Data Engineering make me adaptable and more than capable of learning new coding languages quickly. When it comes to data analysis - whether calculating the mean, plotting histograms or carrying out correlational assessments - my experience in preprocessing and AI-driven development means that I am highly proficient in extracting valuable insights from the rawest of datasets. But beyond my technical capabilities, what sets me apart is my drive for performance optimization, security best practices, and clean code architecture. These attributes will shine through while working on your project - ensuring it's not just successfully completed but remains manageable for any future tweaks or expansions. If all this resonates with what you're looking for in a freelancer for this project. Thanks!

@kelvism4

Hello, I can complete this data analysis task using R with clean and well-structured code. I will calculate all requested statistics, clean the dataset, handle missing or suspicious values, and generate the required plots (histograms, boxplots, and scatterplots). The final delivery will include the R script and clear outputs for each question. I can start immediately and deliver within a short timeframe.

@angeloc61

I can do it. ❤️❤️❤️ I can do it. ❤️❤️❤️ I can do it. ❤️❤️❤️ I’ve worked on similar data analysis projects in R where the main challenge was handling missing values, inconsistent encoding (like gender), and outliers before producing reliable insights. The key to this task is building a clean, reproducible script that not only answers all questions but also standardizes the dataset for future analysis. For your project, I will create a well-structured R script that: Calculates complete cases and site distributions Computes age (mean, median, min, max) per site Generates histograms, boxplots, and stratified visualizations Detects and removes outliers/unrealistic values and compares results before/after Cleans and standardizes gender encoding Produces scatterplots and correlation analysis (age vs wellbeing), including stratification by gender The biggest challenge is usually data quality (missing or inconsistent fields), which I handle using dplyr, ggplot2, and robust filtering logic to ensure accurate results. You’ll receive a clean, commented R script that you can run directly with your dataset, along with brief explanations for each step. Hope to see your message. Thank you.