Steam Dashboard

A small Dash app that lets you explore a Steam games dataset with a few interactive pages.

You can view the live dashboard at: https://dashboard.silivanili.duckdns.org

Installation

git clone https://github.com/silivanili/Datenvisualisierung.git

cd steam-dashboard

pip install -r requirements.txt

python run.py

Open your browser and go to:

http://127.0.0.1:8050/

You should see the navigation bar at the top and the sidebar on the left.

---

Download the data

This project can not include the datasets directly. Please download all four CSV files from Kaggle:

Dataset source: https://www.kaggle.com/datasets/artermiloff/steam-games-dataset

After downloading, place all CSV files into:

app/data/

The app expects the files to be in this folder in order to load and display them.

---

How to use it

1. Select a dataset
   In the sidebar choose one of the CSV files listed under Select Dataset (for example games_march2025_cleaned.csv).
   Click Load Dataset. The app will read the file.

All plots are automatically cached when possible, so switching pages or re‑applying filters is fast.

---

Project structure

Datenvisualisierung/
│
├─ app/
│   ├─ __init__.py          # creates Dash app & Flask cache
│   ├─ cache.py             # filesystem cache configuration
│   ├─ config.py            # paths, constants
│   ├─ layout.py            # navbar, sidebar, page layouts
│   ├─ callbacks.py         # all Dash callbacks
│   ├─ plots.py             # helper functions for figures
│   ├─ utils.py             # empty_fig, df helpers
│   └─ data/
│       └─ processing.py    # data loading, parsing, cached aggregations
│
├─ run.py                    # entry‑point 
├─ requirements.txt
└─ README.md