Data Import and Profiling FAQs

Question 1

How does this skill handle complex CSV structures?

Accepted Answer

The skill performs intelligent schema design and type inference. It analyzes file encodings, delimiters, and sample data to propose the most efficient SQL types, handling everything from ISO 8601 dates to various NULL representations automatically.

Question 2

Does it provide quality assurance for the imported data?

Accepted Answer

Yes. The final phase of the process involves automated quality reporting via delegated sub-agents. It detects quality issues, maps relationships, and generates documentation files (01-05) to provide a full audit trail of the ingestion.

Question 3

What is the Data Import and Profiling skill?

Accepted Answer

This skill is a specialized capability for Claude Code that systematizes the process of moving data from CSV files into relational databases. it uses a five-phase workflow to ensure data is discovered, profiled, standardized, and imported with high integrity.

Question 4

When should I use this skill in my workflow?

Accepted Answer

You should use this skill at the start of any data analysis session. It serves as a prerequisite for the DataPeeker workflow, replacing ad-hoc import scripts with a structured process that creates 'raw' tables ready for further cleaning.

Question 5

Which databases are supported by this skill?

Accepted Answer

While the default configuration is optimized for SQLite (specifically `data/analytics.db`), the underlying logic for schema design and standardization is applicable to any SQL-based relational database like PostgreSQL or MySQL.

Data Import and Profiling

Data Import and Profiling

주요 기능

사용 사례

주요 기능

사용 사례