Example: Final Portfolio

Example: Final Portfolio

WarningIllustrative example — do not copy

This is one worked example on the class NHANES dataset, written by a fictional group, to show the expected structure and depth of a good submission. Your project must use your own question, data, audience, and analysis — do not copy this text or these files. This example lives in the public book for learning; graders assess your original work.

Below is the Cedar Equity Lab group’s final-portfolio submission from the worked NHANES example. See the Final Portfolio brief for what is required.

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File: ai-use-note.md

Final project AI-use audit

Major uses

• Shortened the audience and KT-purpose language in M1.
• Suggested an initial tidyverse outline for the M2 grouped summary.
• Helped reorder the M3 report and identify potentially causal wording.
• Suggested shorter slide titles and flagged jargon before M5.
• Helped organize, but not perform, the outward-facing M4 review.

Checks completed by the group

• Recomputed the adult cohort, missingness counts, complete-case Ns, means, and standard deviations from the committed CSV.
• Confirmed that report, dashboard, and slide figures come from code and agree with the displayed results.
• Checked the CDC/NCHS source citation and the prepared-classroom provenance statement.
• Tested all three final render commands from the project root.
• Reviewed AI-assisted prose for causal, population-level, stigmatizing, or unsupported language.
• Did not upload row-level data to any AI tool.

The group, not the AI tool, approved every submitted number, citation, code chunk, interpretation, and sharing decision.

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File: final-portfolio-checklist.md

Final Portfolio Checklist

Repository access

• Repository route is recorded for course staff.
• Representative latest commit hash is recorded.
• Final artifact paths are listed in repository-access-note.md.
• Safe-publishing check is documented.

Project README

• README names the audience, purpose, questions, and main finding.
• README explains the folder structure.
• README gives the three core render commands.
• README names the required R packages and data boundary.

Data and stewardship

• CDC/NCHS NHANES is cited.
• The cached access method and classroom-use boundary are documented.
• Privacy, aggregate-output, and stewardship cautions are stated.
• The model contains no credentials or private data.

Reproducibility

• Paths are relative to the project root.
• Final report renders from source.
• Final dashboard-style page renders from source.
• Final slides render from source.
• Tables and figures are generated by code.
• Dependencies are limited to tidyverse and knitr in the supported course environment.
• Known analytic and communication risks are recorded.

Communication and AI use

• Report states the question, data, methods, findings, and limitations.
• KT page and slides use the same audience and claim boundary.
• Main findings agree across the report, KT page, and slides.
• Major AI-assisted tasks and manual checks are recorded.

Submission facts

• Representative repository link and commit hash are included.
• Final report path is included.
• Dashboard/KT product path is included.
• Final checklist path is included.

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File: final-risk-list.md

Final risk list

No known render or repository-organization blocker remains after the final test. The remaining risks are interpretation limits rather than hidden failures:

• The prepared classroom analysis is unweighted and is not a national NHANES estimate.
• Complete-case grouped results exclude records with missing BMI or income group; missingness is reported but not modelled.
• Income-group comparisons can be stigmatizing if the modest descriptive difference is presented without context.
• A future change to the cached data would require rerendering the report, dashboard, and slides together.

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File: repository-access-note.md

Repository access note

• Repository URL: https://github.com/example-course/cedar-nhanes-equity
• Visibility: private
• Latest submitted commit: a3f92bc
• Staff access: representative course-staff access was granted by Maya Chen and checked on 2026-12-10
• Final report: report/report.qmd and report/report.html
• Dashboard/KT product: dashboard/dashboard.qmd and dashboard/dashboard.html
• Presentation: milestones/m5-presentation/submission/slides.qmd and slides.html

The URL, hash, and access date are clearly representative values in this static instructor sample. A real student submission must provide live, verifiable facts.

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Project report: report.html — view it

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Project dashboard: dashboard.html — view it

Optional interactive version — Shiny app (demonstration only): the course includes a runnable Shiny dashboard built on the same NHANES data. A live app needs a server, so it runs in a GitHub Codespace or locally — not on this static site. View or download the source to try it yourself: examples/nhanes-equity/app/app.R (on GitHub). A live app is optional; a static dashboard like the one above is the required deliverable.