Git Product home page Git Product logo

environmental-research-analysis-of-worldwide-carbon-emission-contributions's Introduction

Environmental-Research-Analysis-of-Worldwide-Carbon-Emission-Contributions

This repository contains a comprehensive study focused on understanding and modeling economic factors into a nation’s carbon emissions. The study aims to understand how different economic status groups affect a nation’s carbon footprint and categorizes nations into high, medium, or low carbon emitters.

Overview

  • Objective: Analyze the relationship between economic factors and carbon emissions across nations.
  • Data Source: World Inequality Database
  • Key Findings:
    • Carbon emissions vary across income brackets.
    • Developed a model that predicts and categorizes a country's emission level with 95% accuracy.

Contents

  1. Data Exploration:
  • Analysis of carbon emissions over time for ten countries.
  • Relationship between GDP and CO2 emissions.
  • Impact of income brackets on carbon emissions.
  1. Data Modeling:
  • Linear Mixed Model for income brackets.
  • Cumulative Link Mixed Model for predicting carbon emission levels.
  1. Results:
  • Detailed results from the models.
  • Graphs and visualizations.
  1. Conclusion & Future Work:
  • Summary of findings.
  • Recommendations for future research.

Getting Started

Prerequisites

  • R (version 4.0.0 or later)

Installation

Clone the repo:

git clone https://github.com/[YourUsername]/carbon-emissions-analysis.git

Usage

  1. Open the main R script.
  2. Run the script to reproduce the analysis and results.

environmental-research-analysis-of-worldwide-carbon-emission-contributions's People

Contributors

yzhu0225 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.