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

Overview of trimming — concepts, types, and when to use each.

string

scripts/script.sh string

String trimming — whitespace, characters, patterns, normalization.

numeric

scripts/script.sh numeric

Numeric trimming — outliers, percentile clipping, winsorizing.

text

scripts/script.sh text

Text data cleaning — encoding, invisible characters, BOM removal.

database

scripts/script.sh database

Database trimming — SQL functions, column cleanup, data migration.

signal

scripts/script.sh signal

Signal and time-series trimming — noise removal, smoothing, clipping.

examples

scripts/script.sh examples

Practical trimming examples across languages and tools.

pitfalls

scripts/script.sh pitfalls

Common trimming pitfalls and best practices.

help

scripts/script.sh help

version

scripts/script.sh version

Configuration

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