Museum of Almost Right: change an assumption, change the answer

说明与用途

一个互动式博物馆，演示了如何通过更改假设（排序、数据类型、缺失值处理、加权）来影响数据分析结果。该项目完全开源，公开可访问。

问题

Users need a way to explore how different assumptions affect data analysis outcomes without writing code or opening spreadsheets.

结果

Four synthetic exhibits with eight interpretations demonstrate that changing assumptions (e.g., numeric vs. string sorting, missing‑value handling) produces different, defensible results. The project is fully open source (MIT) and publicly accessible.

工作流

• 1. Create Sanity documents for evidence, interpretations, and exhibits.
• 2. Build Astro frontend that queries Sanity and performs deterministic calculations in the browser.
• 3. Validate content with Studio schema and custom tests (25 tests, 25 passes).
• 4. Deploy to GitHub Pages and publish content via Studio.
• 5. Provide public URL for visitors to interact with exhibits and switch assumptions.

证据

The calculation keys select eight fixed functions. JSON is parsed as data, never executed.

来源

Both the main implementation context and a separate review context ran 25 tests with 25 passes.

来源