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README

Data Analysis of UK Greenhouse Gas Emissions

Welcome to the repository for the project "Data Analysis of UK Greenhouse Gas Emissions", a sectoral exploration of GHG trends from 1990 to 2023, with projections toward the Net-Zero 2050 emissions target.

Greenhouse Gas Emissions

🌟 Project Overview

This project investigates:

  • The historical trends of greenhouse gas emissions across UK sectors.
  • The application of linear regression models to predict future emissions.
  • Key insights for achieving the UK's climate goals.

📊 Key Findings

Trends

  • Decline in emissions: Most sectors show a consistent decline in GHG emissions.
  • Transport and Retail Sectors: Exhibit increasing emissions trends. Scatter Plot

Modeling Outcomes

  • Strong Fit: Sectors like Manufacturing, Mining, and Public Administration exhibit excellent linear regression fits (R² > 0.8).
  • Challenges: Transport and Consumer Expenditure require advanced modeling techniques.

🚀 Features

  • Sectoral Analysis: Insights into how each sector contributes to GHG emissions.
  • Predictive Modeling: Projections using linear regression for informed decision-making.
  • Visualization: Interactive plots for deeper understanding of trends.

Scatter Plot

🛠️ Tools and Methodologies

Tools

  • R Programming: Data processing and visualization with packages like readxl and dplyr.
  • RStudio: Comprehensive IDE for analysis and model development.

Methods

  1. Data Cleaning: Ensuring consistency and scalability.
  2. Descriptive Statistics: Exploring variability across sectors.
  3. Linear Regression: Modeling sector-specific trends.
  4. Residual Analysis: Evaluating model fit.

📂 Repository Structure

|-- Code Extra/
|   |-- additional scripts
|
|-- Data Science Project/
|   |-- INF6027_DataScience.Rproj
|   |-- DataScienceRdatav10.RData
|   |-- GHG_rawdata.xlsx
|
|-- Files/
|   |-- contains exported analysed data is csv format 
|
|-- Graphs/
|   |-- included generated graphs
|
|-- RData Extra/
|   |-- initial stages data wrangling versions
|
|-- DataScienceRdatav10.RData
|   |-- Main Data used in the analysis
|
|-- INF6027 R-Script v5.R
|   |-- Main Analysis R-Language Code
|
|-- .gitignore
|-- readme.md

🧐 Research Questions

  1. What are the trends in GHG emissions across UK sectors (1990-2023)?
  2. Can sector-specific GHG projections guide strategies for the Net-Zero 2050 target?

🎯 Future Work

  • Exploring non-linear models like time-series and machine learning.
  • Regional-level analysis for targeted interventions.
  • Sector interdependency studies (e.g., energy's impact on transport emissions).

📧 Contact

For questions, feedback, or collaborations, reach out to: Amin Ibrahem
📩 [Email Me](mailto:[email protected] | [email protected])