SHUNYI AQI DASHBOARD✨

Overview

This project focuses on analyzing and visualizing the Air Quality Index (AQI) data from Shunyi, China (2013-2017). It explores trends, seasonal patterns, and AQI categories (Good, Moderate, Unhealthy, etc.). Data visualization is powered by Streamlit, enabling interactive exploration.

Project Structure

• all_data.csv: A cleaned and combined dataset used for analysis.
• notebook.ipynb: Jupyter Notebook containing the data analysis workflow.
• requirements.txt: List of required Python packages to run the project.
• url.txt: Text file containing the URLs or descriptions of data sources.
• dashboard/dashboard.py: Python script to generate the interactive dashboard.
• dashboard/logo.png: Logo used in the dashboard.
• data/: Directory containing individual CSV files for air quality data from various locations.

Features

1. Data Analysis: Explore and analyze air quality trends using notebook.ipynb.
2. Interactive Dashboard: Visualize air quality insights through a dashboard implemented in dashboard.py.

Getting Started

Prerequisites

• Python 3.10 or higher
• Jupyter Notebook
• Required libraries listed in requirements.txt

Setup Environment - Anaconda

conda create --name aqi_env python=3.10
conda activate aqi_env
pip install -r requirements.txt

Setup Environment - Shell/Terminal

mkdir shunyi_aqi_dashboard
cd shunyi_aqi_dashboard
pipenv install
pipenv shell
pip install -r requirements.txt

Usage

Clone the Repository

git clone https://github.com/ngaeninurul/shunyi_aqi_dashboard.git
cd shunyi_aqi_dashboard

Run the Notebook

jupyter notebook notebook.ipynb

Run the Dashboard

streamlit run dashboard/dashboard.py

Access the Dashboard

Check the url.txt file for the link to the hosted version of the dashboard.