I can help you conduct statistical analysis and reporting using R
- 4.7
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Project Details
Why Hire Me?
📱Click to Connect on Whatsapp to Discuss Your Project
With 7+ years of experience across industries, I provide statistical analysis using R that is both methodologically sound and tailored to your goals.
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Advanced proficiency in R packages such as
ggplot2,dplyr,tidyr,shiny,caret, andstats -
Skilled in descriptive, inferential, and predictive techniques, including regression, ANOVA, and time-series modeling
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Capable of integrating narrative and visuals in R Markdown for clear reporting
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Experienced in academic, corporate, and policy-oriented projects
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Focused on interpretability, reproducibility, and client-specific outcomes
What I Need to Start Your Work
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Project Details
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Clear objective of the project and specific research or business questions
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Any background details that impact analysis scope or assumptions
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Data and Data Description
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Dataset(s) in CSV, Excel, or text format
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Metadata including source, variable definitions, units, and any preprocessing already done
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Analytical Requirements
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Desired techniques (e.g., regression, t-tests, clustering, forecasting)
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Any mandatory R packages or custom functions to be used
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Reporting Preferences
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Required format (e.g., PDF via R Markdown, HTML dashboard via Shiny)
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Any academic or professional formatting requirements
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Expectations for visualizations, tables, or appendix content
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Communication & Timeline
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Preferred communication method and update frequency
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Key milestones or final deadline for delivery
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Portfolio
Statistical Analysis of Mental Health Survey Data Using R for a U.S. University Counseling Program
Applied descriptive and inferential statistics in R to analyze mental health trends from student surveys. Findings guided the expansion of tele-counseling services at a major U.S. university.
ANOVA and Regression Modeling in R to Assess Sales Channel Performance for a U.S. Retail Brand
Used ANOVA and multiple regression in R to evaluate how in-store, online, and third-party sales channels impact total revenue. Enabled a U.S. retailer to reallocate 18% of its quarterly marketing budget.
Time Series Forecasting and Statistical Reporting in R for a U.S. Public Health Initiative
Performed time series decomposition and forecasting in R to monitor flu season trends across counties. Supported early vaccine distribution planning in collaboration with a state health department.
Process
Customer Reviews
5 reviews for this Gig ★★★★★ 4.7
very professional approach explained everything in simple terms helped me understand the ANOVA output and assumptions clearly
the analysis was okay but some of the plots needed more labels after i mentioned it he revised them quickly without issue
i liked the depth of the analysis especially how he handled outliers in my data using base r and visualised with ggplot
cleaned my dataset using dplyr and did everything from t tests to regression the final output looked very polished
he used R markdown to build my report and even added visualizations that helped me explain the trends better to my professor
R Programming Basics
Starts at $25
Summary stats with visuals
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3
Days Delivery
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1
Revision
R Programming Analytics
Starts at $65
Hypothesis-driven visual report
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5
Days Delivery
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2
Revisions
R Forecast Pro
Starts at $120
Predictive modelling + output
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7
Days Delivery
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3
Revisions
