Hospital Admissions Dashboard

An interactive dashboard built with Dash and Plotly to explore and visualize hospital admissions data. This dashboard allows you to filter patients by medical condition, gender, age range, and date range, and displays charts (pie, bar, treemap, heatmap, box plot) and summary statistics for quick insights.

Dataset is available as Healthcare dataset, it is an educational dataset for which I am thankful to build this simple showcase tool for.

Project Structure

HealthDashPy (project root)
├── pyproject.toml
├── README.md
├── requirements.txt
├── data
│   └── hospital_data.csv
└── src
    |── health
        ├── __init__.py (empty, used for pckg)
        ├── data.py
        ├── theme.py
        ├── layout.py
        ├── callbacks.py
        ├── app.py
        └── run.py

Project Setup

Project requires: python, pip To install everything required, use

pip install -e .

which will check and possibly install dependancies from requiremets.txt file. Project has an entry point, using

dashboard

will initialize the application. You can open it in your web browser afterwards.

Alternatively, if you don't want to use the entry point, you can init the application, then you can run this as a project:

python -m src.health.run

Don't forget to run all these commands in the project root, meaning the HealthDashPy (or other name for Project root).