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English
$
USD
I will do data analysis and network analysis using r
About this Gig
I turn raw data into clear, reliable insights using R.
With a background in mathematics and statistics, I help clients across research, business, and academia get accurate, well-documented analysis they can actually use and explain.
What I offer:
- Data cleaning and preparation (missing values, outliers, formatting)
- Descriptive statistics and exploratory data analysis
- Statistical testing: regression, ANOVA, hypothesis testing
- Data visualization with ggplot2
- Network analysis (igraph): centrality, community detection, robustness testing
- Reproducible R scripts and R Markdown reports, fully commented
Recent project: analyzed Germany's high-voltage power grid (795 substations), identifying critical nodes and testing network resilience using centrality measures and community detection.
Why work with me:
- Clear communication - I explain methods and results in plain language
- Reproducible code you (or your team) can rerun and modify
- Academic-level rigor - suitable for theses, publications, or business reporting
Send me your dataset and goal, and I will recommend the right package. Happy to discuss custom scope before you order.
My Portfolio
FAQ
What format should I send my data in?
CSV, Excel, or .RData/.rds all work. If your data needs cleaning first, that's included in the process.
Do I need to know R to use your results?
No — I deliver clear explanations and visualizations alongside the code, so you can understand and present the findings without knowing R yourself.
Can you help me choose the right statistical test?
Yes, message me with your research question and data structure, and I'll recommend the appropriate approach before you order.
Is the code reproducible?
Yes, all scripts are commented and structured so you (or anyone) can rerun the analysis on updated data later.
