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invalid-data-cleaning

Clean Excel text columns by extracting Chinese characters and exporting to XLSX.

2|Updated May 19, 2026
Search Tags:#excel#regex#data cleaning#parquet#data export#text normalization
One-click install
npx skills add https://github.com/aiyinluya/SenseNova-Skills-Studio --skill invalid-data-cleaning-aiyinluya
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: invalid-data-cleaning
Source: https://github.com/aiyinluya/SenseNova-Skills-Studio/tree/main/skills/sn-da-excel-workflow/capability/excel-data-cleaning/invalid-data-cleaning
Command: npx skills add https://github.com/aiyinluya/SenseNova-Skills-Studio --skill invalid-data-cleaning-aiyinluya

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you preprocess large Excel datasets by cleaning noisy text fields so the data becomes consistent and analysis-ready.

Core Features & Use Cases

  • Parquet optimization for big Excel: Converts all sheets into a single Parquet file when the dataset is large to improve read/write efficiency, then continues processing from the optimized data.
  • Regex-based text cleaning: Cleans a specified target text column by removing non-Chinese characters and retaining only Chinese characters via regular expressions.
  • Export cleaned results: Saves the cleaned dataset back to an Excel file and provides a local download link for immediate use.

Quick Start

Use the invalid-data-cleaning skill to clean a specific Excel column so it keeps only Chinese characters and then export the cleaned Excel file.

Frequently Asked Questions about invalid-data-cleaning

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I clean Excel text columns to keep only Chinese characters?▼

You can clean Excel text columns by applying regex-driven per-cell text normalization that removes non-Chinese characters and unwanted symbols, leaving consistent Chinese text for downstream analysis.

How do I handle missing values when normalizing messy text in Excel?▼

Handling missing values during text normalization involves regex-driven per-cell cleaning that processes only populated cells, ensuring empty fields do not disrupt the data cleaning pipeline.

Can I convert large multi-sheet Excel files to Parquet for faster preprocessing?▼

Yes, large multi-sheet Excel files can be converted into a single Parquet file to improve read and write efficiency before applying regex-based text cleaning to the optimized data.

What is the best way to preprocess large Excel datasets for text normalization?▼

The best way to preprocess large Excel datasets is converting sheets to Parquet for performance, applying regex-based text cleaning to target columns, and exporting the cleaned data to XLSX.

Does this data cleaning approach export the cleaned dataset back to Excel?▼

Yes, after cleaning the specified text columns, the processed dataset is saved back to an XLSX file and a local download path is provided for immediate access.

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