Integrated Technical + Scientific Documentation
Upload any CSV and get 10 interactive visualizations with column selectors, domain-aware analysis, in-browser Python notebooks with matplotlib, AI runtime repair, and cloud persistence — all serverless.
Universal chart types with dynamic column selectors
Guided Python notebook cells with inline matplotlib
Serverless — everything runs in your browser
Everything you need to analyze any CSV dataset — from upload to publication-quality visualizations.
DistPlot, Pie, Violin, HeatMap, PairPlot, JointPlot, Bar, Histogram, Scatter, Line — each with dynamic column selectors that adapt to your data.
Knowledge-base engine generates contextual insights based on recognized column names — medical, financial, or scientific. Updates in real-time as you change selections.
14 guided Pyodide cells including 6 matplotlib visualizations rendered inline as base64 images. Full pandas, numpy, matplotlib, and scipy — no server required.
Rule-based error detection with model-assisted fallback. Automatically identifies notebook execution failures and suggests one-click fixes.
Firebase Google auth with Firestore cloud storage. Save, load, and delete your analysis workspaces. Offline localStorage fallback included.
Automated pipeline: header normalization, whitespace trimming, duplicate removal, missing value handling — fully transparent and reproducible.
Every chart type includes dropdown column selectors in both STANDARD and CUSTOM modes.
Problem framing, hypotheses, and measurable research goals.
Raw CSV workflows are often non-reproducible, labor-intensive, and error-prone due to inconsistent schemas, duplicate rows, missing values, and fragmented multi-tool processing.
A guided automation-first architecture with browser-native execution and deterministic repair logic can reduce preprocessing burden while improving repeatability and debugging reliability.
Select each stage to inspect engineering decisions and outcomes.
Mapped common CSV pain points from real educational and operational data workflows.
Click each module to inspect inputs, outputs, and resilience strategy.
Select a module from the left to view technical details.
Data Flow: Ingestion → Cleaning → Notebook → Runtime → Visualization → Domain Analysis, with Auth + Storage + AI reliability spanning all stages.
Observed efficiency, quality, and scalability behavior under baseline comparison.
Automated cleaning reduced repetitive data preparation time across workflow stages.
Consistency and traceability metrics improved after deterministic transformation rules.
Hybrid repair loop reduced interruption time for common notebook execution failures.
Follow this complete guide to build your own DataMentor web app from scratch. No prior experience required — just Claude and the skill file.
A Claude Skill is a structured markdown file (.md) that acts as a detailed instruction manual for Claude AI. When you provide this file to Claude Code, Claude Desktop, or any Claude-powered tool, the AI reads the entire blueprint and builds the application step by step — writing every file, component, and configuration for you automatically.
Think of it as a recipe: the skill file is the recipe, Claude is the chef, and the result is a fully working web application.
By following this guide, you will have a fully working DataMentor web app with all these features:
Drag-and-drop file upload with automatic parsing, column detection, and type classification (numeric, categorical, boolean, datetime).
Automated header normalization, whitespace trimming, duplicate row removal, and missing value handling — all deterministic and reproducible.
DistPlot, Pie, Violin, HeatMap, PairPlot, JointPlot, Bar, Histogram, Scatter, and Line — each with dropdown column selectors.
Knowledge-base engine that recognizes medical, financial, and scientific columns and generates contextual insights automatically.
14 guided Pyodide cells with pandas, numpy, matplotlib, and scipy — including 6 inline chart renderings. No server needed.
When notebook code fails, the AI assistant automatically detects the error type and suggests one-click fixes using rule-based and model-assisted strategies.
Google sign-in authentication with Firestore storage. Save, load, and delete your analysis workspaces across sessions.
A complete documentation website with interactive charts, architecture explorer, video embed, and collaboration tools.
Make sure you have these tools installed on your computer. All are free.
JavaScript runtime for running Next.js. Download from nodejs.org and verify with node --version in your terminal.
Install Claude Code CLI (npm install -g @anthropic-ai/claude-code) or use Claude Desktop app. You need an Anthropic API key or Claude subscription.
Version control for managing your code. Download from git-scm.com. Helpful but not strictly required.
For authentication and cloud storage. Create a project at console.firebase.google.com. Enable Google sign-in and Firestore database.
Click each step below to see exactly what to do. Follow them in order for the best results.
The skill file datamentor-skill.md is the complete blueprint. It contains every instruction Claude needs to build the entire application.
Click the green "Download Skill File" button at the bottom of this section. You will be asked to star the GitHub profile first (takes 5 seconds).
Run this command in your terminal to get the file directly:
git clone https://github.com/ANIS151993/Notebook-Studio.git
cd Notebook-Studio
ls datamentor-skill.mdComplete blueprint covering 11 build steps, all components, architecture patterns, and implementation details. Works with Claude Code, Claude Desktop, or any Claude-powered tool.
Free and open-source. Star the project to unlock.
Star the author's GitHub profile to unlock the skill file download.
Star on GitHubNo. Claude writes all the code for you. You just provide the skill file and follow the prompts. Basic familiarity with using a terminal (typing commands) is helpful but not required — Claude Desktop has a visual interface.
Claude typically builds the full application in 15–30 minutes depending on your internet speed and the tool you use. You can build individual parts separately if you prefer.
The skill file is free and open-source. You need a Claude subscription or Anthropic API key to use Claude Code or Claude Desktop. Node.js and Firebase free tier are also free.
Absolutely. The skill file produces standard Next.js + React code. You can modify the domain knowledge base, add new chart types, change the UI theme, add new features, or adjust anything to your needs — either manually or by asking Claude to make changes.
Claude Code is a terminal-based CLI tool — you type commands and Claude writes code directly in your project folder. Claude Desktop is a visual app with a chat interface where you can drag-and-drop files. Both work with this skill file. Claude Code is faster for developers; Claude Desktop is easier for beginners.
The skill file is optimized for Claude but the instructions are detailed enough that other AI coding assistants (like GitHub Copilot, Cursor, or ChatGPT) can also follow them. Results may vary — Claude produces the most accurate output because the file uses Claude's skill format.
Watch a guided walkthrough of the platform flow, technical design, and practical results.
Single click starts playback instantly in this section. No new tab is required.
Protected Manuscript
The site intentionally exposes only the first-page manuscript preview and abstract summary. The full conference PDF and source package are available only as encrypted downloads through the policy gate.
Only this first page is openly visible in the portal.
Full PDF, LaTeX source, and artifacts remain encrypted.
Complete the public policy steps, then unlock the encrypted archives.
Open the official profile and video links first, then confirm the two checks below.
Open GitHub profile Open YouTube videoSend a short request email so the author can verify the purpose of access before sharing the archive password.
Email the authorThe archives remain encrypted after download. Enter the password here to reveal the links once you have received it from the author.
These files are encrypted zip archives. The same password is still required after download to extract the contents.
Download encrypted conference PDFComplete profile links and technical collaboration request entry point.
Master's of Information Technology
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