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#

bash

scripts/script.sh intro

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

string#

bash

scripts/script.sh string

String trimming — whitespace, characters, patterns, normalization.

numeric#

bash

scripts/script.sh numeric

Numeric trimming — outliers, percentile clipping, winsorizing.

text#

bash

scripts/script.sh text

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

database#

bash

scripts/script.sh database

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

signal#

bash

scripts/script.sh signal

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

examples#

bash

scripts/script.sh examples

Practical trimming examples across languages and tools.

pitfalls#

bash

scripts/script.sh pitfalls

Common trimming pitfalls and best practices.

help#

bash

scripts/script.sh help

version#

bash

scripts/script.sh version

Configuration#

VariableDescriptionTRIM_DIRData directory (default: ~/.trim/)

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