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
| Variable | Description |
|---|---|
TRIM_DIR |
Data directory (default: ~/.trim/) |
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