{"repo":"hoangsonww/CO2-Global-Emissions-Analysis","free":true,"listed":false,"github":"https://github.com/hoangsonww/CO2-Global-Emissions-Analysis","clone":"git clone https://github.com/hoangsonww/CO2-Global-Emissions-Analysis.git","description":"🏭 A project for analyzing global CO₂ emissions using R, leveraging OWID data to create 12 visualizations that explore historical trends, economic relationships, and top emitters. Includes a linear regression of per-capita emissions on GDP per capita and supports reproducible workflows via Makefile, RMarkdown, and Docker.","language":"R","stars":12,"topics":["co2","co2-emissions","data","data-analysis","data-science","data-visualization","docker","dockerfile","ggplot","ggplot2"],"license":"MIT","category":"deployment-docker-iac","readme_excerpt":"Global CO₂ Emissions Analysis A comprehensive R-based analysis that fetches and processes global CO₂ emissions data (per-capita and total) from Our World in Data (OWID), generates a suite of 12 exploratory and analytical plots, and performs a regression of per-capita emissions on GDP per capita. Table of Contents 1. Project Overview 2. Features & Charts 3. Prerequisites 4. Installation 5. Usage 6. Script Breakdown 7. Interpreting the Outputs 8. Extending & Customizing 9. Data Source & Citations 10. License --- Project Overview This repository contains: - CO2 Analysis.R : A self-contained R script that 1. Downloads the OWID CO₂ dataset (yearly, since 1750) 2. Cleans & prepares: CO₂ per capita, total CO₂, GDP per capita, date conversion 3. Produces 12 visualizations exploring temporal trends, economic relationships, top emitters, quartile analyses, cumulative sums, and year-over-year changes 4. Fits a linear regression model: CO₂ per capita GDP per capita, with summary statistics and an annotated plot - report.Rmd : An R Markdown report that weaves narrative, code, and plots into a shareable HTML document. - scripts/ , Makefile , Dockerfile , docker-compose.yml , and .env.example to automate data fetching, analysis, report building, and containerized execution. --- Features & Charts 1. Global Trend - Line plot of global average CO₂ per capita over time 2. GDP vs. CO₂ - Scatter of GDP per capita vs. CO₂ per capita (latest) with LOESS smoothing 3. Regression Analysis - Linear mod","default_branch":null,"files":null,"tree":[],"storefront":"/r/hoangsonww","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/hoangsonww/CO2-Global-Emissions-Analysis/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}