using-qsv
CommunityEfficiently process tabular data with qsv CLI
Authorjonmast
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of handling large and complex tabular data efficiently, providing a faster alternative to traditional Python scripts and tools like pandas.
Core Features & Use Cases
- Fast Data Processing: Offers a command-line interface for processing CSV, TSV, JSONL, Parquet, Excel, and more, often 10-100x faster than pandas.
- SQL-like Queries: Allows SQL-like queries on CSV files with
qsv sqlp. - Quick Profiling and Cleaning: Provides quick profiling, stats, filtering, joining, and cleaning operations.
- Use Case: Ideal for data scientists and analysts who need to process large datasets quickly and efficiently.
Quick Start
Use the using-qsv skill to filter all rows with a value greater than 100 from the 'data.csv' file.
Dependency Matrix
Required Modules
qsv
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: using-qsv Download link: https://github.com/jonmast/dotfiles/archive/main.zip#using-qsv Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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