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ai-data-analyst

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Turn data into reproducible insights with Python.

Data & Analytics#python#data analysis#visualization#statistics#reproducibility#analyze
AuthorGrupoUS
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill enables comprehensive data analysis, statistical modeling, and visualization by writing and executing self-contained Python scripts. It helps you derive insights from data with reproducible workflows.

Core Features & Use Cases

  • Data loading and cleaning from CSV, Excel, JSON, Parquet, or databases.
  • Exploratory data analysis (EDA), hypothesis testing, and predictive modeling.
  • Publication-quality visualizations for reports and dashboards.
  • Use Case: Analyze a CSV data dump to identify key drivers and generate a report with charts and a model summary.

Quick Start

  • Create a Python virtual environment and install required libraries (pandas, numpy, scikit-learn, statsmodels, matplotlib, seaborn, plotly).
  • Place your data file (e.g., data.csv) in the working directory and run analysis.py to generate results and visuals.
  • Review outputs in the outputs/ directory and the generated report.md.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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: ai-data-analyst
Download link: https://github.com/GrupoUS/aegiswallet/archive/main.zip#ai-data-analyst

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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