Capstones: applying Track D to your own accounting data

Why this exists: This is where Track D becomes a portfolio piece: a reproducible analysis on realistic accounting exports.

Learning objectives

  • Define a narrow, answerable question for a business dataset.

  • Build a reproducible pipeline from export → normalized → analysis → report.

  • Deliver a short write-up with artifacts that support the claims.

Outline

Capstone scope options

  • Performance review: compare two quarters and explain drivers.

  • Cash-flow proxy: build a daily inflow/outflow series and summarize volatility.

  • Expense audit: identify top sources of expense growth and anomalies.

Deliverables checklist

  • BYOD project folder (tables/ exports + normalized/ outputs + config.toml).

  • A small outputs/ folder with plots/tables.

  • A short report (1–2 pages) with interpretation and caveats.

  • Optional: normalized/daily_totals.csv generated via pystatsv1 trackd byod daily-totals.

Rubric outline (draft)

  • Reproducibility (can someone rerun it?).

  • Correctness (schema and basic checks pass).

  • Insight (the narrative matches the evidence).

  • Communication (clear figures and concise writing).

Where this connects in the workbook

Note

This page is intentionally an outline right now. Expand it incrementally as we refine Track D narrative.