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xukrutdonut
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data-analyst

Analyze CSV, Excel, SQLite, and Zotero data with Python statistics and plots.

1|Updated Feb 1, 2026
Search Tags:#data analysis#visualization#pandas#statistics#Python#Zotero
One-click install
npx skills add https://github.com/xukrutdonut/openclaw-skills --skill data-analyst-xukrutdonut
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-analyst
Source: https://github.com/xukrutdonut/openclaw-skills/tree/main/data-analyst
Command: npx skills add https://github.com/xukrutdonut/openclaw-skills --skill data-analyst-xukrutdonut

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, scipy, matplotlib, seaborn, and includes scripts (resource) components.

What problem does it solve?

This Skill automates data analysis and visualization workflows by providing ready-to-run Python tooling that computes statistics, detects patterns, and generates informative visuals from common data sources.

Core Features & Use Cases

  • Load data from CSV, Excel, SQLite, and Zotero exports.
  • Compute descriptive statistics, correlations, hypothesis tests, and generate visualizations.
  • Real-world use case: A data analyst quickly assesses datasets, explores relationships between variables, and produces charts for reporting or publication.

Quick Start

Run a quick analysis on a CSV file:

  • python3 scripts/julius_ai.py --file data.csv
  • python3 scripts/julius_ai.py --file data.csv --plot

Frequently Asked Questions about data-analyst

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

FAQPage Schema
How do I compute descriptive statistics and generate visualizations from a CSV file?▼

You can compute descriptive statistics and generate visualizations from a CSV file by running the provided Python script with your file path, adding an optional flag to automatically produce charts.

Can I use pandas and scipy for hypothesis testing on Excel data?▼

Yes, you can use pandas and scipy for hypothesis testing on Excel data. The tooling loads Excel files via pandas and applies scipy to execute hypothesis tests and detect patterns.

Does this data analysis tool work with Zotero exports and SQLite databases?▼

Yes, this data analysis tool works with Zotero exports and SQLite databases. It loads Zotero databases and SQLite files to perform exploratory visualizations and bibliographic data management.

What Python version and libraries do I need for exploratory data analysis?▼

For exploratory data analysis, you need Python 3.8+ and the core libraries pandas, numpy, scipy, matplotlib, and seaborn. Optional scikit-learn is supported to build machine learning pipelines.

What is the best way to automate generating plots and finding correlations across research datasets?▼

The best way to automate generating plots and finding correlations across research datasets is using this Python tooling, which computes correlations and produces informative visuals automatically.

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