Github link: https://github.com/EthanYifanJu/Australian-Property-Price-Trends

🏡 Australian Property Price Trends

An interactive web application that visualises and analyses residential property price trends across Australia’s capital cities over time.

📊 Project Overview

This project leverages data from the Australian Bureau of Statistics (ABS) to provide insights into the residential property market in Australia. Users can explore property price trends, compare different cities, and analyse changes over time.

🔍 Features

• Interactive time-series charts of property price indexes & percentage change for each capital city.
• Comparison tools to analyse trends between different capital cities.
• Filters to view data by property type (e.g., houses, attached dwellings), region & specific time period.

📂 Data Sources

Australian Bureau of Statistics (ABS):

• Residential Property Price Indexes: Eight Capital Cities
• ABS Data API: The ABS Data API provides programmatic access to various datasets.

🛠️ Technologies Used

Frontend

• HTML5 – Structuring the web content.
• CSS3 – Styling the user interface.
• JavaScript – Adding interactivity to the web page.
• Plotly.js – Rendering interactive charts and graphs.

Backend

• Python 3 – Core programming language.
• Flask – Lightweight web application framework for handling HTTP requests and routing.
• Jinja2 – Templating engine used with Flask to generate dynamic HTML content.

Deployment

• Render – Hosts the live web application with backend support.

🚀 Getting Started

Click here to view the show case page.

📄 License

This project is licensed under the MIT License. See the LICENSE file for details.

📬 Contact

For any questions or feedback, please contact me.