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ethan-rioCOMMUNITY
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html-data-explorer

Build self-contained HTML data explorers with inline data and interactive charts.

Updated May 5, 2026
Search Tags:#log analysis#data exploration#interactive charts#csv analysis#html dashboard#ad-hoc analytics
One-click install
npx skills add https://github.com/ethan-rio/skills --skill html-data-explorer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: html-data-explorer
Source: https://github.com/ethan-rio/skills/tree/main/skills/html/html-data-explorer
Command: npx skills add https://github.com/ethan-rio/skills --skill html-data-explorer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Opening heavy BI tools like Tableau or Jupyter notebooks for quick ad-hoc analysis of CSVs, JSON dumps, log files, or other small to medium datasets is slow to set up, hard to share, and often overkill for one-off exploration tasks.

Core Features & Use Cases

  • Self-contained shareable artifacts: All data is baked directly into the HTML file with no external dependencies, so you can share the file via a single link with no setup required for the recipient.
  • Interactive exploration tools: Includes filterable sortable tables, faceted categorical search, timeline scrubbing for temporal data, inline charts, and A/B test dashboards that update live as filters are applied.
  • Use case example: If you paste a 4000-row payment failure log, this Skill builds a shareable HTML file with a timeline chart of failures per hour, filterable tables by region and error code, and a copy-as-SQL button in seconds.

Quick Start

Ask the AI to build an interactive HTML data explorer for your pasted CSV of sales data, with filters by region and product category, a line chart of sales over time, and a copy-as-CSV button for filtered results.

Frequently Asked Questions about html-data-explorer

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

FAQPage Schema
How do I create an interactive HTML dashboard from a CSV file without using BI tools?▼

You can create an interactive HTML dashboard by baking CSV data directly into a self-contained HTML file with live filtering, sortable tables, and inline charts, eliminating the need for heavy BI tools or local notebook environments.

What is the best way to explore log files for incident investigation ad-hoc?▼

Ad-hoc log analysis is best handled by generating a browser-based HTML data explorer that provides timeline scrubbing, filterable tables by error code, and live interactive charts for quick incident investigation.

Does this approach work for large datasets or JSON dumps?▼

This approach works for small to medium datasets up to approximately 5MB in size, including JSON dumps and CSV files, producing fully self-contained HTML files with inline data and mobile-responsive design.

Can I share my data exploration results without requiring recipients to set up software?▼

You can share data exploration results via a single self-contained HTML file link that works without external runtime dependencies or browser storage, requiring no setup for the recipient to view and interact with the data.

Do I need any external libraries or runtime dependencies to view the generated HTML data explorer?▼

No external libraries or runtime dependencies are needed, as the HTML data explorer is fully self-contained with inline data, interactive charts, and export functionality that works directly in any standard web browser.

How do I visualize A/B test results quickly without a notebook environment?▼

You can visualize A/B test results by building a self-contained HTML dashboard that includes live updating charts and faceted categorical search, updating automatically as filters are applied to the baked-in data.

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