CEO compensation analysis — archived coursework
Archived Seattle University coursework. Afsar Ali authored the R Markdown analyses; Afsar Ali and Preslav Angelov coauthored the ECON 5100 final paper. The work is historical and observational, not a production system or a causal study.
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Scope, authorship, and data
- Both R Markdown files identify Afsar Ali as author.
- The final paper identifies Afsar Ali and Preslav Angelov as coauthors.
- The repository contains a Power BI dashboard, but individual authorship of that artifact is not documented.
- The archived CSV contains 8,300 rows and 98 columns. The historical paper and former README refer to 114 factors; the reason for that difference is not documented.
- The original data provider, collection method, and redistribution rights are not documented. The CSV includes executive names and company/security identifiers.
- No license is granted by this repository.
What the project demonstrates
- exploratory analysis and visualization in R;
- transformations, probability tables, and subgroup comparisons;
- regression analysis, confidence intervals, ANOVA, and an attempted Chow test;
- presentation of analytical work through rendered R Markdown, a final paper, and a Power BI artifact.
Artifacts
- Initial EDA source
- Rendered initial EDA
- Regression EDA source
- Rendered regression EDA
- Coauthored final paper
- Power BI dashboard
- Archived dataset
Runtime and reproducibility status
The R source uses packages including tidyverse, gridExtra, GGally,
plotly, psych, knitr, and htmlTable. R, package, and Power BI
versions were not recorded. The repository has no R lockfile, automated
tests, continuous-integration workflow, or verified refresh procedure. One
section in the regression source is explicitly marked as not working. The
analysis and Power BI artifact have not been rerun or refreshed under a
current environment.
The Power BI file embeds its data model and legacy custom visuals. Review it in a patched, isolated Power BI environment before opening or refreshing it.