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JansenAnalytics
JansenAnalyticsCOMMUNITY
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data-analysis

Analyzes data from CSV, JSON, SQLite, and APIs to generate summaries and charts.

5|Updated Apr 8, 2026
Search Tags:#summarization#data#json#sqlite#visualization#csv#analyze
One-click install
npx skills add https://github.com/JansenAnalytics/claudex --skill data-analysis-jansenanalytics
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-analysis
Source: https://github.com/JansenAnalytics/claudex/tree/main/skills/data-analysis
Command: npx skills add https://github.com/JansenAnalytics/claudex --skill data-analysis-jansenanalytics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze data from CSV, JSON, SQLite, or APIs. Use when asked to analyze, summarize, or visualize data.

Core Features & Use Cases

  • Analyze data from multiple sources (CSV, JSON, SQLite) to generate summaries and simple visualizations.
  • Quick data exploration of datasets like a trade journal with structured context and cross-format aggregation.
  • Use Case: You want to understand trends in a CSV export and produce a chart of key metrics.

Quick Start

Ask it to analyze a dataset from CSV, JSON, or SQLite and generate a concise summary and visualizations.

Frequently Asked Questions about data-analysis

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

FAQPage Schema
How do I analyze data from a CSV file and generate a summary?▼

To analyze CSV data, you can parse the file to clean records, aggregate metrics across columns, and generate a concise text summary alongside a chart visualizing the key trends.

Can I combine JSON and SQLite datasets for cross-format aggregation?▼

Yes, cross-format aggregation is supported. You can parse JSON files and execute basic SQL queries on SQLite databases to merge datasets and summarize findings across multiple sources.

What's the best way to visualize trends in a CSV export?▼

The best way to visualize CSV trends is to parse the export, aggregate the relevant metrics, and generate a chart that plots the key data points to uncover underlying patterns.

Does this approach work with SQLite databases for quick data exploration?▼

Yes, it works with SQLite databases by executing basic SQL queries to extract records, allowing you to quickly explore structured datasets and summarize the results.

How do I parse JSON data to uncover insights and summarize findings?▼

You can parse JSON data by reading the structured objects, aggregating the values across datasets, and returning a readable summary that highlights the core insights discovered.

What are the limitations of using basic SQL for data analysis?▼

The limitation is that only basic SQL execution is supported for SQLite files, meaning complex joins or advanced window functions may not process, requiring cross-format aggregation instead.

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