Trim — Data Trimming Reference

Quick-reference skill for data trimming techniques across text, numeric, and signal data.

When to Use

• Trimming whitespace from strings (leading, trailing, internal)
• Cleaning and normalizing text data
• Trimming outliers from statistical datasets
• Truncating data to fit constraints (columns, buffers)
• Signal trimming and noise removal
• Database column trimming and cleanup

Commands

intro

scripts/script.sh intro