SI Analytics
Day 06 of 10 · Application · Public health

The Geography of Chronic Disease Risk

County-level model-based estimates of chronic disease prevalence.

Thursday, October 29, 2026Platform-neutralHealth · Development · Business Intelligence

Your analytical mission

Which counties show higher modeled prevalence, and why might local planning need a closer look?

This is a storytelling challenge, not a test of how many visuals you can create. Investigate the central question, choose evidence that answers it, and explain why the findings matter.

Step-by-step instructions

  1. Choose one clearly identified outcome and one state.
  2. Compare age-adjusted county estimates with a ranked bar or dot plot.
  3. Highlight the five highest and five lowest estimated county values.
  4. Explain at least two limitations of interpreting ecological, model-based estimates.

Scope and data preparation

Use a single extracted state and single metric; a choropleth is optional.

Expected deliverables

  1. One-page geographic health profile with at least two visuals.
  2. One concise evidence statement and a planning implication.
  3. Indicator, geography, estimate type, year and data source.

Label charts clearly and cite the dataset and extraction date. Tell us which tool you used.

Quality guardrail

Use consistent age adjustment and do not interpret modeled estimates as individual diagnoses.

Required story structure

Question → Evidence → Interpretation → Action. Include a concise evidence-led title and a limitation where relevant.

Dataset and provenance

CDC PLACES

Official source and download instructions. The source may contain more rows or fields than this day's suggested scope.

Open official data source ↗

Download guidance: Follow the provider’s export instructions. A clean SI Analytics extract has not been published in this package. For initial learning, use the recommended scope above and check metadata before analysis.

Source: CDC PLACES. Original data may have licensing, citation, coverage and refresh requirements. Confirm the dataset version before publishing.

Submission checklist

Submit the completed dashboard/chart or report link, a fallback screenshot or PDF, your 100–300-word findings (depending on the day), your source citation, and a brief methodological limitation. Share publicly only if you have appropriate permissions.

Suggested LinkedIn tag: #SIAnalyticsDataVizChallenge. Mention the day and one evidence-based finding.

Submission link: To be announced by SI Analytics.

Public data are credited to their original providers. SI Analytics challenge instructions are independent educational materials.

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