Further Reading: Capstone — The Complete Data Story


Tier 1: Essential Reading

All previous chapters of this book. The capstone integrates material from every chapter. For specific techniques, return to the relevant chapter: matplotlib (Ch 10-15), seaborn (Ch 16-19), Plotly (Ch 20-21), Altair (Ch 22), geospatial (Ch 23), networks (Ch 24), time series (Ch 25), dashboards (Ch 29-30), reports (Ch 31), branding (Ch 32), workflow (Ch 33).

Knaflic, Cole Nussbaumer. Storytelling with Data. Wiley, 2015. The capstone's narrative structure draws on Knaflic's methodology. Re-read Chapter 9's references for storytelling guidance.

Your own project brief. The most important document for the capstone is the one you write yourself: the question, the audience, the data, and the deliverables. It guides every subsequent step.


The Pudding. pudding.cool Examples of end-to-end data stories with rich interactive visualization. Study for inspiration on what capstone-level work looks like professionally.

IPCC AR6 SPM figures. ipcc.ch/report/ar6/wg1/figures/ The most carefully produced scientific visualization set in the world. Study for publication-quality reference.

Cairo, Alberto. How Charts Lie. Norton, 2019. A good companion for the ethical dimension of the capstone — ensuring your charts are honest and your claims are supported.

Wilke, Claus O. Fundamentals of Data Visualization. clauswilke.com/dataviz. Free online reference. Useful for any chart-type or design question that arises during the capstone.


Tier 3: Tools and Online Resources

Resource URL / Source Description
Climate data (NOAA) ncdc.noaa.gov Primary source for the climate dataset.
Gapminder gapminder.org/data/ Alternative dataset for the independent capstone.
World Bank Open Data data.worldbank.org Development indicators for the independent capstone.
Kaggle Datasets kaggle.com/datasets Thousands of datasets for the independent capstone.
FiveThirtyEight data data.fivethirtyeight.com Curated datasets from FiveThirtyEight articles.
TidyTuesday github.com/rfordatascience/tidytuesday Weekly datasets for practice (R-focused but data works in Python).
Data Is Plural data-is-plural.com A newsletter of interesting datasets. Browse for capstone ideas.
GitHub Pages pages.github.com Free hosting for portfolio websites. Publish your capstone here.
Streamlit Community Cloud share.streamlit.io Free hosting for the capstone dashboard.
Zenodo zenodo.org DOI-based archiving for research projects. Archive your capstone with a citable DOI.
Data Visualization Society datavisualizationsociety.org Community for sharing and getting feedback on your work.

A note on reading order: For the capstone itself, no new reading is needed — the book has covered everything. For the independent capstone, browse Data Is Plural or Kaggle for an interesting dataset. For professional-level inspiration, spend time with The Pudding and the IPCC figures. For feedback on your work, share with the Data Visualization Society or r/dataisbeautiful.