data_analyzer

Name: data_analyzer
Availability: InStock
Author: proxy2021

Analyze CSV or JSON data to compute column statistics and generate chart-ready summaries.

5|1|Updated Feb 15, 2026

Search Tags:#charts #data #json #statistics #csv #analyze #data-cleaning

Ready to run

npx skills add https://github.com/Proxy2021/Enso --skill data-analyzer-proxy2021

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: data_analyzer
Source: https://github.com/Proxy2021/Enso/tree/main/server/skills/data_analyzer
Command: npx skills add https://github.com/Proxy2021/Enso --skill data-analyzer-proxy2021

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automatically analyzing CSV or JSON inputs to reveal per-column characteristics and generate chart-ready summaries, eliminating manual scripting for data exploration.

Core Features & Use Cases

Auto-detects columns and data types from CSV/JSON
Computes per-column statistics: type, min, max, mean, median, nulls, and unique counts
Generates chart configurations from analyzed data for quick visualization
Use cases include data exploration, quality checks, and lightweight reporting

Quick Start

Paste CSV or JSON data into the assistant and request analysis to see statistics and charts.

Frequently Asked Questions about data_analyzer

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

FAQPage Schema

How do I analyze CSV data to get column statistics without writing scripts?▼

To analyze CSV data without scripting, paste the CSV text into the assistant. The tool auto-detects columns and computes statistics like min, max, mean, median, nulls, and unique counts for ad-hoc data exploration.

Can I generate charts from JSON data for quick reporting?▼

Yes, you can generate charts from JSON data. The analyzer processes the JSON input, detects column types, and outputs chart-ready summaries to facilitate lightweight reporting and quick visualizations.

What is the best way to perform a data quality check on a CSV file?▼

The best way to perform a data quality check on a CSV file is to let the analyzer automatically calculate null counts and unique values per column. This reveals missing data and anomalies directly from your pasted dataset.

Does this data analysis tool work with both CSV and JSON formats?▼

Yes, the data analysis tool works with both CSV and JSON formats. It automatically parses the provided data structure, detects the schema, and generates statistics regardless of whether the input is CSV or JSON.

What statistics are calculated when exploring a dataset?▼

When exploring a dataset, the tool calculates per-column statistics including type, minimum, maximum, mean, median, null counts, and unique counts. These metrics provide a comprehensive overview for ad-hoc exploration.