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csv-analysis

Analyze CSV data to generate statistics and auto-generated charts.

7|3|Updated Jan 15, 2026
Search Tags:#statistics#time-series#data-analysis#csv#visualizations#data-quality#correlations
One-click install
npx skills add https://github.com/Zpankz/mcp-skillset --skill csv-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: csv-analysis
Source: https://github.com/Zpankz/mcp-skillset/tree/main/csv-analysis
Command: npx skills add https://github.com/Zpankz/mcp-skillset --skill csv-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

CSV files are often analyzed manually; this skill automatically analyzes them and generates insightful statistics and visuals to speed up data-driven decisions.

Core Features & Use Cases

  • Auto-detects data types and generates relevant analyses (summary statistics, correlations, distributions, and time-series insights)
  • Produces auto-generated visuals: heatmaps, line charts, histograms, and bar charts
  • Performs data quality checks by reporting missing values and data types
  • Adapts to generic tabular data across domains such as finance, sales, operations

Quick Start

Upload a CSV file and let the skill automatically produce a complete analysis with visuals.

Frequently Asked Questions about csv-analysis

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

FAQPage Schema
How do I automatically generate statistics and visualizations for a CSV file?▼

To automatically generate statistics and visualizations for a CSV file, you can upload your dataset and let the tool auto-detect data types to produce summary statistics, distributions, and charts without manual prompts.

Can I run time-series analysis and correlation checks on tabular data without writing code?▼

Yes, you can run time-series analysis and correlation checks on tabular data without writing code. The system automatically detects relevant columns and generates time-series insights and correlation heatmaps.

How do I check data quality and find missing values in my dataset?▼

To check data quality and find missing values in your dataset, the system automatically scans your uploaded CSV to report missing values, identify data types, and flag potential issues.

What visualizations are produced when analyzing CSV data?▼

When analyzing CSV data, the output includes auto-generated visualizations such as correlation heatmaps, line charts for time-series, histograms for distributions, and bar charts.

Does this tool work with generic CSV files across different domains like finance and sales?▼

Yes, this tool works with generic CSV files across different domains like finance, sales, and operations by adapting to the specific data types and structures within your uploaded dataset.

Do I need to manually specify data types before analyzing my CSV?▼

No, you do not need to manually specify data types before analyzing your CSV. The tool automatically detects data types to generate relevant numeric statistics and distributions.

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