Statistical Data Analysis & Visualization in R (ggplot2) by Eric HoltonStatistical Data Analysis & Visualization in R (ggplot2) by Eric Holton

Statistical Data Analysis & Visualization in R (ggplot2)

Eric Holton

Starting at

/hr

About this service

Summary

I provide rigorous statistical data analysis and visualization using R, with a focus on clear interpretation and reproducible results. My work emphasizes model diagnostics, sensitivity analysis, and publication-ready figures rather than dashboards or black-box models. Ideal for clients who need careful thinking, not just charts.

Deliverables

Statistical Analysis Report

A written summary of the analysis, including data overview, methods used, key results, assumptions, limitations, and clear interpretation of findings for decision-making or research use.

Publication-Ready Data Visualizations

High-quality figures created in R using ggplot2, suitable for reports, presentations, or publication. Includes clear labeling, appropriate scales, and design choices aligned with the analytical goals.

Reproducible R Code

Clean, well-commented R scripts used for data cleaning, analysis, and visualization, enabling full reproducibility and future extension of the work.

Model Diagnostics & Sensitivity Analysis

Evaluation of model assumptions, robustness checks, and sensitivity analyses to assess how results change under different parameters or data conditions.

Data Summary Tables & Exports

Clear summary tables and cleaned datasets delivered in Excel or CSV format for downstream use by teams or stakeholders.

What's included

Statistical Analysis Report
A written summary of the analysis, including data overview, methods used, key results, assumptions, limitations, and clear interpretation of findings for decision-making or research use.
Publication-Ready Data Visualizations
High-quality figures created in R using ggplot2, suitable for reports, presentations, or publication. Includes clear labeling, appropriate scales, and design choices aligned with the analytical goals.
Reproducible R Code
Clean, well-commented R scripts used for data cleaning, analysis, and visualization, enabling full reproducibility and future extension of the work.
Model Diagnostics & Sensitivity Analysis
Evaluation of model assumptions, robustness checks, and sensitivity analyses to assess how results change under different parameters or data conditions.
Data Summary Tables & Exports
Clear summary tables and cleaned datasets delivered in Excel or CSV format for downstream use by teams or stakeholders.

Skills and tools

Data Analyst

Data Modelling Analyst

Data Scientist

ggplot2

Microsoft Excel

Microsoft PowerPoint

Microsoft Word

Industries

Analytics

Data

Marketing