DashboardForRainInAustralia

☞click me to visit it

About this app

This project is for the class presentation(Big Data Cases Analysis,ZUEL,2022-Spring).

Developer: Ye.S

project structure:

assets: store some static files such as images, css style sheets and the ML model

callbacks: define some callback functions

models: data and some useful api

views: define the layout of all pages

source_code_of_ML_models: source code we used in model training

app.py: index page and startup file

server.py: define some details of the Dash app

paper.pdf: brief introduction of our project

tools.py: some small tools to process data

requirements.txt: list the packages and their versions we used in this project

How to run this app

(The following instructions apply to Posix/bash. Windows users should check here.)

First, clone this repository and open a terminal, such as Powershell.

Create and activate a new virtual environment (recommended, and our developing Python version in this project: 3.7.12) , and run the following:

python -m venv myvenv
.\myvenv\Scripts\activate

Install the requirements:

pip install -r requirements.txt

Run the app:

python app.py

Open a browser at http://127.0.0.1:8050 (or other ports)

If you add some new packages to the project, please remember use pip to generate the 'requirements.txt' again (when you use the virtual environment).

pip freeze > requirements.txt

Some tips on develop Dashboard

1. The folder 'callbacks' is a supplement of 'views', we just withdraw some callbacks functions from 'views', to make the file appear simple and explict
2. Documentation 1:（数据科学学习手札123）Python+Dash快速web应用开发
3. Documentation 2: feffery-antd-components official documentation