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Demog tables figures

Skill brycewang-stanford/Awesome-Journal-Skills/Demography-Skills/skills/demog-tables-figures

Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的 Claude Code/Codex 期刊技能包,从选题、识别策略到表格规范与审稿回复全流程,助你快速发论文。

Install
npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill demog-tables-figures

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What its author says it does

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Use when building tables and figures for a Demography (PAA / Duke University Press) manuscript so exhibits are self-contained, accessible, and within the journal's limits (Research Articles up to ~8 tables and figures; Research Notes up to 4). Covers distinctive demographic graphics — population pyramids, Lexis surfaces, survival curves, age schedules. Designs exhibits; it does not run the analysis.

SKILL.md

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Tables & Figures (demog-tables-figures)

Exhibits are where an expert demographer checks whether the result is real — and where demographic data communicates best. Demography also limits exhibit counts: Research Articles allow roughly 8 tables and figures, Research Notes 4 (confirm current limits on the official page). Every exhibit must earn its place.

When to trigger

  • Designing the main results table/figure or a key descriptive exhibit
  • Deciding what belongs in the article vs. the online appendix
  • A reviewer found an exhibit unclear, mislabeled, or non-self-contained
  • Trimming to the table/figure limit

Principles

  1. Self-contained. A reader should understand each exhibit from its title, axis/column labels, and note alone. State the population, period, age range, source/vintage, units, and N or exposure.
  2. Use the right demographic graphic for the quantity. Don't default to a bar chart when the data call for an age schedule or a Lexis surface (see below).
  3. Show uncertainty. Confidence bands on rates, life-expectancy contributions, hazard/survival curves, and decomposition components — not bare lines or point estimates.
  4. Accessible. Colorblind-safe palettes; legible in grayscale; no chartjunk, no 3D. Reviewers and readers must parse it quickly.
  5. Main text vs. appendix. Keep the few exhibits that carry the argument in the article; move full life tables, sensitivity grids, and supplementary detail to the online appendix. This also keeps you within the exhibit limit.
  6. Reproducible. Each exhibit is generated by the master script; numbers match the deposited materials (see demog-data-and-reproducibility).

Distinctive demographic exhibits

  • Population pyramids for age-sex structure and its change over time.
  • Lexis surfaces / diagrams to show age x period x cohort patterns (e.g., mortality surfaces).
  • Survival and hazard curves (Kaplan-Meier, cumulative-incidence for competing risks).
  • Age schedules of fertility (ASFR), mortality (mx/qx), and migration; tempo-adjusted curves.
  • Decomposition bar/stacked plots showing component contributions that sum to the total.
  • Small-multiple maps for spatial demographic variation.

Execution bridge (StatsPAI / Stata MCP)

Generate exhibits from the fitted result, not by retyping numbers (the usual source of body-vs-supplement drift). Full map: execution-with-mcp. Demography is formal + empirical demography; the causal chain serves its reduced-form lane, while formal demographic modeling uses its own tools — decomposition (oaxaca / gelbach) is often central.

  • Tables: etable (multi-model columns) or did_summary_to_latex straight from the result_id.
  • Figures: plot_from_result / enhanced_event_study_plot / event_study_table — axis units and the SE/clustering note baked in.
  • Every note names the estimator + clustering and states the effect size in interpretable units.

See a full fitted-result → exhibit chain in the JF execution walkthrough.

Anti-patterns

  • Tables that require the prose to be intelligible (not self-contained)
  • A generic bar chart where a Lexis surface or age schedule would reveal the pattern
  • Rates or e0 contributions plotted with no uncertainty
  • Cramming every robustness exhibit into the main text (blows the table/figure limit — use the appendix)
  • Exhibit numbers/values that don't match the deposited code output

Exhibit pass for Demography

Run this as a concrete capability pass. First lock the demographic process, data source, time scale, selection/migration/mortality issue, and uncertainty; then test whether the manuscript addresses population-science reviewers who inspect demographic process, measurement, cohort/period logic, and population validity.

  • Primary move: For every table or figure, state the object, sample/case base, uncertainty display, and one sentence the exhibit proves for this venue.
  • Decision ledger: return claim / evidence / blocker / next edit rows so the next pass can patch the manuscript directly.
  • Sibling comparison: compare against Population and Development Review for policy synthesis, JMF for family process, Social Forces for broader sociology; if the neighboring outlet has the stronger audience claim, recommend re-routing before polishing.
  • Verification floor: before submission-ready advice, re-open resources/official-source-map.md for volatile rules and name the one unresolved fact that could change the recommendation.

Output format

【Main exhibit】what it shows + which demographic graphic + why
【Self-contained?】title + labels + note + population/period/source/N present? [Y/N]
【Uncertainty shown?】bands/intervals on rates/curves/components? [Y/N]
【Accessible?】grayscale-legible + colorblind-safe? [Y/N]
【Article vs appendix】split decided, within exhibit limit?
【Reproducible?】generated by master script, matches package? [Y/N]
【Next】demog-writing-style

Supplementary resources

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