Data Assessment With Bauplan and Claude Code

Before you build any analysis, it helps to know whether your data can actually answer the question being asked. Spending hours on a query only to find the data was never there is a familiar problem for analysts and stakeholders.

In this video we pair Bauplan with Claude Code to test two real stakeholder questions against NYC taxi data, and let the Bauplan data assessment skill decide whether each one is feasible before any analysis gets built.

We take the point of view of a stakeholder with two questions about the taxi data. One is answerable, and one is not. Claude works through each question using the Bauplan data assessment skill, which guides it to clarify what is being asked, explore the tables, check data quality, and write a feasibility report with a clear verdict.

What the video covers:

• Setting up the environment: Claude Code, the project files, and installing the Bauplan skill plugin through the Anthropic marketplace
• Passing in a question the data can answer, and watching the skill decompose it, clarify the ambiguous terms, and confirm the branch to assess
• Table triage across 57 tables, sorted into strong candidates, weak candidates, and not relevant
• Deep inspection of the confirmed tables: null rates, cardinality, trip duration, sample data, and join viability
• Handling a data freshness issue and adjusting the time scope
• The feasibility report for the answerable question: answerable with caveats, including data age and the difference between trip duration and wait time
• Passing in a question the data cannot answer, and hitting a critical data availability issue
• Why the question is blocked: no driver tenure data, no passenger identifiers, no repeat request tracking
• The feasibility report for the unanswerable question: what is blocked, a partial alternative, and what would be needed to answer the original question

This is a look at how agents and data infrastructure can work together to answer a question analysts and stakeholders face every day: is this even feasible before I start.