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numeric_format_cleaner

Official

Standardize numeric formats and units in JSONL data.

Data & Analytics#data cleaning#JSONL#format conversion#data standardization#numeric data
Authorcas-bigdatalab
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the challenge of inconsistent numeric formats in JSONL data, ensuring uniformity across units, formats, and expressions.

Core Features & Use Cases

  • Uniform Formatting: Converts units and formats numeric values according to specified rules.
  • Data Cleaning: Handles missing values and applies decimal places to numbers.
  • Use Case: Ideal for data scientists and analysts who need to prepare datasets with consistent numerical formats for analysis or reporting.

Quick Start

Run the numeric_format_cleaner skill with the input file 'data.jsonl' and output file 'cleaned.jsonl', using the field rules provided.

Dependency Matrix

Required Modules

None required

Components

scripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: numeric_format_cleaner
Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#numeric-format-cleaner

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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