Key Takeaways: Capstone — The Complete Data Story


  1. Integration is the skill. The capstone's threshold concept: the hardest part of visualization is not any individual technique but integrating all techniques into a coherent, multi-format project with consistent quality. Each technique is manageable alone; combining them is the professional challenge.

  2. Start with a project brief. Question, audience, data, deliverables — write them down in one page before any coding. The brief is the rudder that keeps the entire project on track.

  3. Explore before you publish. The exploratory notebook (Phase 2) reveals patterns that guide the design of publication figures. Quick, ugly charts in a notebook are tools for understanding; polished figures are tools for communication. Do not skip the exploration.

  4. Six figures, six questions. Each publication-quality figure should answer a different question about the data. Together they form a comprehensive visual analysis. Each figure has an action title, source attribution, brand styling, and a caption.

  5. The dashboard is for exploration; the report is for delivery. The Streamlit dashboard lets stakeholders explore interactively. The PDF report delivers a specific story at a specific moment. Both serve the same data but different audience modes.

  6. The slide deck follows narrative structure. Ten slides following Chapter 9's setup-development-conclusion arc. Each slide has one chart and one key message. The deck is a presentation, not a data dump.

  7. Consistent branding ties everything together. The same color palette, fonts, title style, and source attribution across all five outputs. The brand system from Chapter 32 makes consistency automatic rather than effortful.

  8. Self-critique with the rubric. Apply the 25-point Master Critique Rubric from Chapter 33 to every figure. Document scores and fix critical issues. The critique is not optional; it is what separates student work from professional work.

  9. Archive for reproducibility. All source code, data, and documentation in a git repository with a README. Anyone (including future you) can regenerate every output. Reproducibility is part of quality.

  10. The capstone is the beginning of practice. The book taught techniques; the capstone proved they work together. What comes next — your own data, your own questions, your own audiences — is the real work. The skills transfer; the discipline of the workflow carries them.


Chapter 35 is the Visualization Gallery: a permanent reference of 50 chart types with code for each, organized by question category. Keep it bookmarked for the rest of your visualization career.