This is a demo app of HappyRoad Express X Pi-Tone showing some data-Vis work wrapped by deck.gl & plotly.dash.
First create a virtual environment with conda or venv inside a temp folder, then activate it.
virtualenv venv
# Windows
venv\Scripts\activate
# Or Linux
source venv/bin/activate
Clone the git repo, then install the requirements with pip
git clone https://github.com/Pi-Tone/pi-tone_hrex
cd pi-tone_hrex
pip install -r requirements.txt
Run the app
python app.py
This Dashbaord app displays geolocation related package data and risk trend involved. There are filters at the top of the app to update the graphs below. By selecting or hovering over data in one plot will update the other plots ('cross-filtering').
- Dash - Main server and interactive components
- Plotly Python - Used to create the interactive plots
- Deck.gl - Used to create good rendering results based on Web.GL
The following are screenshots for the app in this repo:
- N/A