🚀 Version: 0.0.4
🛡️ License: Proprietary (All Rights Reserved)
💻 Platform: Visual Studio Code
A lightweight, high-performance data visualization suite built directly into the VS Code interface. Eliminate the friction of switching between your code editor and external tools like Excel or Jupyter Notebooks just to check data distributions.
With Data Visualizer Workspace, you can transform raw data tables into interactive, high-fidelity graphical charts instantly, completely offline and native to your development environment.
✨ Key Features
Instant File Parsing: Seamless support for .csv and .json data structures.
Multiple Chart Engines: Dynamically toggle between interactive Bar Charts, Pie Charts, and Line Graphs with a single click.
Native Theme Integration: UI elements map directly to your VS Code color tokens, automatically adapting perfectly to Light, Dark, or High Contrast themes.
On-the-Fly Editing: Live-update data values directly inside the visualization frame to see instantaneous layout shifts.
High-Res Exporting: Compile and download your active canvas configurations into crisp .png vector frames for documentation or reports.
🚀 How It Works & Usage
Open any workspace folder containing data assets in VS Code.
Right-click on a target .csv or .json dataset file in your File Explorer.
Select "Open in Data Visualizer Workspace" from the context menu.
Use the dynamic control panel to toggle chart profiles, update rows, or download your rendered image directly to your local workspace folder.
⚙️ Project Ecosystem & Architecture
Interface Pipeline: Rendered inside an asynchronous HTML5 Canvas layer driven by an optimized Chart.js layout configuration engine.
Data Layer: Client-side runtime arrays ingest structured data patterns and safely pack them into sandboxed Webview memory objects.
Styling Framework: Built using unified web tokens matched directly to native VS Code CSS variable keys to respect active workspace font weights and canvas backdrops.
