CO2 emissions visualization on Europe map

This project provides a visualization of CO2 emissions in European countries based on various factors. It includes interactive elements such as a map, bar charts, and dropdown menus to select and compare data for different countries.

Project Structure

CO2EmissionsEurope/
│
├── index.html
├── style.css
├── europe_topology.json
├── world-data-2023.json
└── README.md

Features

• Interactive map of Europe with CO2 emissions data
• Hover over countries to see CO2 emissions information
• Click on a country to view detailed data in a bar chart
• Compare data between two selected countries

Getting Started

Prerequisites

To run this project, you need to have Python installed on your machine. You can download and install Python from here.

Instructions

• To view a website, open this
• To open a website localy, from Visual Studio Code run the following commands
  • Locate a project folder using

    cd "project_folder_path_location"
    

  • Open the terminal in VS Code and run

    python -m http.server
    

Project Structure

• index.html: Contains the HTML structure and D3.js scripts to render the map and charts
• style.css: Defines the styles for the HTML elements and ensures proper layout and design
• europe_topology.json: Topological data for European countries, necessary for rendering the map
• world-data-2023.json: Provides the dataset used for displaying various statistics in the visualization

Functionalities

• Map
  • Displays a map of Europe with countries color-coded based on CO2 emissions
  • Hover over a country to see its name and CO2 emissions
  • Click on a country to display detailed data and compare it with another country
• Bar Charts
  • Country Data: Shows a bar chart with selected data for a single country
  • Compare Countries: Allows comparison of data between two selected countries
• Dropdown Menus
  • Select different types of data (e.g., CO2 emissions, GDP, population) to display in the bar charts

Technologies Used

• D3.js: For creating dynamic and interactive data visualizations
• TopoJSON: For encoding geographic data and rendering the map
• HTML/CSS: For structuring and styling the webpage
• Python: For running a simple HTTP server to host the webpage