Data Analysis

Patterns for exploring, transforming, validating, and visualizing structured data.

Prerequisites

• Python 3.9+ with pandas, polars, or DuckDB installed

When to Use

• Exploring CSV, JSON, Parquet, or database data
• Building data transformation pipelines
• Validating data quality and schema compliance
• Creating data visualizations and reports
• Writing ETL/ELT scripts

Decision Tree