Skills
.Work. You
Rest

missing_value_remover

Official

Efficiently remove missing values from structured data.

Data & Analytics#structured data#data analysis#data cleaning#data preprocessing#missing value
Authorcas-bigdatalab
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the issue of missing data in structured tables and JSONL files by allowing users to easily remove rows or columns with missing values.

Core Features & Use Cases

  • Row Deletion: Remove entire rows containing any missing values.
  • Column Deletion: Remove columns based on a threshold of missing values.
  • Supported Formats: CSV, TSV, Excel, JSON, JSONL.
  • Use Case: Ideal for data preprocessing in research and business analysis, where complete data is crucial.

Quick Start

Run the skill to remove missing values from 'data.csv' and save the result to 'cleaned.csv' with the default strategy:

python scripts/run_missing_value_remover.py --input data.csv --output cleaned.csv

Dependency Matrix

Required Modules

pandasnumpyopenpyxl

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: missing_value_remover
Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#missing-value-remover

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

Agent Skills Search Helper

Install a tiny helper to your Agent, search and equip skill from 620,000+ vetted skills library on demand.