README.md

Multidimensional Data Visualization Dashboard

Interactive dashboard for exploring multidimensional datasets with Plotly and Dash, wrapped in an Eel desktop window.

Features

  • Upload and parse CSV, XLS/XLSX, TSV, and TXT files
  • Visualize data with Parallel Coordinates and Parallel Categories
  • Inspect uploaded data in an interactive Dash table (filter, sort, paginate)
  • Run as a desktop app (Eel window) while serving Dash locally

Tech Stack

  • Python 3.11+
  • Dash
  • Plotly
  • Pandas
  • Eel
  • uv for dependency and environment management

Showcase

GUI

The application runs as a desktop window (Eel) with an embedded Dash interface. The layout consists of:

  • Tab bar — two tabs: Program (active by default) and Settings.
  • File drop zone — a dashed red-bordered area at the top of the Program tab accepting drag-and-drop or manual file selection (CSV, XLSX, TSV, TXT).
  • Chart area — occupies the main body of the window and updates automatically after a file is loaded.
  • Color legend — a COLOR_ID colorbar (dark purple → yellow scale, 0–18) displayed to the right of every chart.

Visualization Modes

Parallel Coordinates (continuous axes) — each data record is drawn as a polyline crossing all numeric axes. Axes shown in the example: ID, KDA, VS/min, CS/min, DMG/min, W/L, COLOR_ID. Line color maps to COLOR_ID, making clusters and outliers immediately visible against the gradient scale. Parallel Coordinates

Parallel Categories (discrete/binned axes) — records are grouped into colored ribbon bands between axes. The same columns are displayed as stacked categorical segments with labeled tick values. Ribbon width encodes the number of records sharing that value combination, and color again follows the COLOR_ID scale, highlighting which category groups dominate each dimension. Parallel Categories

Project Structure

.
|- app/
|  |- controller.py
|  |- model.py
|  |- view.py
|  |- data.py
|  |- resourceController.py
|  |- dashApp.py
|  |- assets/
|  \- web/
|     \- main.html
|- Exemplary_data/
|  \- League_of_legends_stats.csv
|- main.py
|- pyproject.toml
\- uv.lock

Getting Started

  1. Install dependencies and run app:
uv sync
uv run python main.py

Runtime Behavior

  • Dash server runs at http://127.0.0.1:8050.
  • Eel starts a local desktop host (default localhost:8000, with automatic fallback if the port is busy).
  • Closing the desktop window also shuts down the Dash server.

License

MIT (see LICENSE).

All Projects

Tech Stack

Dash Python

Tools / Libraries

Eel Plotly Pandas