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Studio 02 · 11:55–12:30

Evidence to Insight

Inspect a permitted data source and create one result or visual you can explain and check.

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In progress

The teaching demonstration and handoff will be added here. The activity keeps the current data-quality boundary visible.

Activity

Three steps

  1. 1

    Choose and inspect the data

    Use an approved source, preserve the original file, and check what each row and field means.

  2. 2

    Agree on the plan

    Review cleaning and analysis choices before anything changes the scientific meaning.

  3. 3

    Save one checked result

    Keep the method, result or visual, source, limitations, and next human check together.

No-install optionInspect the data before changing it
Open instructions

Copy these instructions into ChatGPT. Remove or replace anything in square brackets before you use them.

I attached the data selected for my research question. Please preserve the original files.

Start by checking provenance, row grain, fields and units, missingness, repeated definitions, join risks, and whether the files can answer the question. Separate what the files show from the choices you recommend.

Propose a reversible cleaning and analysis plan and stop before any choice that changes the scientific meaning. After I approve it, create an analysis copy, run one defensible analysis, and make one useful figure or table. Reconcile the reported values with the calculation and state the assumptions, uncertainty, limitations, and unresolved risks. Do not invent data, hide exclusions, or make a causal claim the design cannot support.

Before you move on

Save your checked result.

A traceable data route and one result or visual with clear limits.

  • A permitted source and preserved original
  • A short quality and cleaning record
  • One result or visual tied to your question
  • Limitations and anything still needing review

Files

Studio files

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Studio files will appear here only after the workshop owners approve specific files.

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