Titanic Itinerary Dashboard

A data visualization dashboard for exploring Titanic passenger data, built with Python, Dash, and Plotly.

Features

• Interactive Dashboard:
  Visualizes Titanic passenger clusters on a ship diagram, with dynamic filtering by scenario.
• Category Filter:
  Select from custom passenger scenarios (e.g., Social Climber, Last Minute Ticket) to update all metrics and the ship map.
• Summary Metrics:
  Displays survival percentage, number of males, number of females, and average age for the selected group.
• Responsive Layout:
  Clean, modern UI with equispaced info cards and a custom ship background.

Quickstart

0. Download Data

It's a csv, and you can get it from here

1. Install Dependencies

Note

This assumes that you have pkgx...if not, see here

This project uses astral.sh/uv for dependency management

pkgx uv pip install -r pyproject.toml

2. Run the App

pkgx uv run python main.py

The app will be available at http://127.0.0.1:8050.

3. Project Structure

assets/
  - layout.css, typography.css, ship.png, etc.
data/
  - titanic.csv, test.csv
main.py
pyproject.toml
pkgx.yaml
README.md

• main.py: Main Dash app and callbacks
• assets/: Static assets (images, CSS)
• data/: Titanic dataset (CSV)

Development

• Linting:
  Uses ruff for Python linting.

  pkgx ruff check .

Contributing

• Fork and clone the repo.
• Install dependencies with uv.
• Make your changes and submit a pull request.

Notes

• The dashboard is designed for technical users and contributors.
• All dependencies are managed via uv and pkgx—do not use pip directly.

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Questions?
Open an issue or contact the maintainer.