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csv-data-analysis

Analyze CSV, Excel, and TSV files to generate statistical reports and visualizations.

19.7k|2.9k|Updated Apr 13, 2023
Search Tags:#reporting#data analysis#visualization#statistics#excel#csv
One-click install
npx skills add https://github.com/eosphoros-ai/DB-GPT --skill csv-data-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: csv-data-analysis
Source: https://github.com/eosphoros-ai/DB-GPT/tree/main/skills/csv-data-analysis
Command: npx skills add https://github.com/eosphoros-ai/DB-GPT --skill csv-data-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and templates (resource) components.

What problem does it solve?

This Skill automates the process of analyzing CSV and Excel files, transforming raw data into understandable insights, statistical summaries, and visualizations without requiring manual data manipulation or complex charting tools.

Core Features & Use Cases

  • Comprehensive Data Analysis: Generates detailed reports covering data quality, numerical distributions, feature analysis, correlations, time series trends, and anomaly detection.
  • Automated Visualization: Creates interactive charts and graphs using ECharts, embedded directly into a web-based report.
  • Use Case: A marketing manager uploads a CSV of campaign performance data and asks for an analysis. The skill generates a report highlighting which campaigns performed best, identifying key drivers of success, and suggesting areas for improvement.

Quick Start

Analyze the attached file 'sales_data.xlsx' to understand its patterns and generate a report.

Frequently Asked Questions about csv-data-analysis

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

FAQPage Schema
How do I analyze CSV files to extract statistical features and data patterns?▼

Analyzing CSV files for statistical features and data patterns is done by uploading your dataset to automatically extract numerical distributions, correlations, and time series trends, yielding a comprehensive report with interactive visualizations.

What is the best way to generate interactive data visualizations from Excel data?▼

The best way to generate interactive data visualizations from Excel data is by using an automated analysis tool that creates ECharts graphs embedded directly into a web-based report, bypassing manual chart configuration.

Can I use automated CSV analysis for time series trends and anomaly detection?▼

Yes, automated CSV analysis supports time series trends and anomaly detection by evaluating uploaded files to identify temporal patterns, detect outliers, and produce a detailed statistical summary report.

Does ECharts work with Tailwind CSS for web-based data analysis reports?▼

ECharts works seamlessly with Tailwind CSS for web-based data analysis reports, combining frontend visualization technologies to display numerical distributions and attribution analysis interactively within a single styled document.

How do I identify data quality issues and correlations in a TSV file?▼

Identifying data quality issues and correlations in a TSV file is done by running an automated analysis that evaluates dataset integrity, calculates feature relationships, and outputs a structured report highlighting key statistical findings.

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