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data-analysis-suite

Analyze clean CSV/Excel data to generate statistics, dashboards, and reports.

1|Updated Apr 19, 2026
Search Tags:#data#dashboard#excel#csv#plotly#report#analyze
One-click install
npx skills add https://github.com/oldmangrizzz/REAL_JARVIS --skill data-analysis-suite
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-analysis-suite
Source: https://github.com/oldmangrizzz/REAL_JARVIS/tree/main/claude-skills/_journey/data-analysis-suite/.claude/skills/data-analysis-suite
Command: npx skills add https://github.com/oldmangrizzz/REAL_JARVIS --skill data-analysis-suite

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Clean data analysis workflows are time-consuming and error-prone; this kit automates end-to-end analytics from prepared data to insights, dashboards, and executive summaries.

Core Features & Use Cases

  • Descriptive statistics, correlations, trends, and segmentation
  • Interactive Plotly dashboards for exploration
  • Executive-ready report and 1-2 page summary
  • End-to-end pipeline with a single command

Quick Start

Supply a clean CSV or Excel data file and run the full pipeline to generate descriptive statistics, interactive dashboards, and an executive-ready report.

Frequently Asked Questions about data-analysis-suite

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

FAQPage Schema
How do I generate interactive dashboards and reports from a CSV file?▼

You can generate interactive dashboards and reports from a CSV file by running the data analysis pipeline, which reads your dataset and outputs Plotly visualizations and an executive summary to a local output directory.

What descriptive statistics and trends can I analyze in Excel data?▼

You can analyze descriptive statistics, correlations, trends, and segmentation in Excel data by running the pipeline, which leverages pandas and numpy to generate a comprehensive analytical report.

Does this data analysis pipeline work with Excel files and what Python version is required?▼

Yes, the data analysis pipeline supports Excel files via openpyxl and requires Python 3.11 or higher with dependencies managed through uv sync to ensure proper execution.

Can I create Plotly dashboards from CSV data without modifying the original source file?▼

Yes, you can create Plotly dashboards from CSV data without modifying the source file, as the pipeline writes all outputs exclusively to a dedicated output directory.

What is the best way to automate end-to-end analytics from raw data to an executive summary?▼

The best way to automate end-to-end analytics is using a single-command pipeline that processes clean datasets to output statistics, Plotly dashboards, and a written report.

Are there limitations when analyzing CSV data with this pipeline regarding data preparation?▼

A key limitation when analyzing CSV data is that the pipeline requires the dataset to be already clean and analysis-ready, as it does not perform data cleaning or preprocessing.

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