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.

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🌟 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.

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📊 Key Findings

Trends

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

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.

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🚀 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.

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🛠️ 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.

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📂 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
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|-- 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

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🧐 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?

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🎯 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).

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📧 Contact

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