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samson19977/co2-emissions-dashboard

Domain:

climateenvironment and energy

Record type:

software
Creator:
sam
Host:
An interactive business-grade dashboard for analyzing and forecasting COβ‚‚ emissions across African countries using Streamlit, pandas, and machine learning. # 🌍 COβ‚‚ Emissions Dashboard for Africa This project is a dynamic and interactive **Streamlit-powered dashboard** that visualizes and forecasts **COβ‚‚ emissions across African countries**. It provides actionable insights for **policy makers, entrepreneurs, researchers**, and **climate investors**. Built with πŸ’‘ business users in mind, the dashboard highlights: - Sector-wise emission breakdowns (transportation, energy, manufacturing, etc.) - Time-series trends and forecasts (using linear regression) - Country-specific heatmaps and GDP/population insights - Clean, attractive visualizations for presentations and decision-making --- ## πŸ“Š Key Features - 🎯 **Interactive Sector Boxes** – Click on any emission sector to drill down into trends. - 🧠 **Machine Learning Forecasts** – Predict emissions for the next 3 years using socioeconomic data. - πŸ“ˆ **Bar Charts, Pie Charts & Line Graphs** – Beautifully styled visualizations powered by Matplotlib and Seaborn. - πŸ”₯ **Correlation Heatmaps** – Understand relationships between COβ‚‚ emissions and GDP/population. - πŸͺ΄ **Actionable Recommendations** – Green energy, climate tech, and policy innovation opportunities. - ☁️ **Live Dataset from Hugging Face** – Auto-loads updated CSV data from the cloud. --- ## πŸš€ Live Demo > Coming soon via Streamlit Cloud --- ## πŸ“¦ Tech Stack - Streamlit – For rapid web app development - Pandas – Data loading and manipulation - Seaborn & Matplotlib – Visualizations - Scikit-learn – Forecasting via Linear Regression - Hugging Face Datasets – Cloud-hosted dataset --- ## πŸ“ Dataset Source The data is hosted on Hugging Face: - `co2_Emission_Africa.csv` Fields include: - Country, Year, Population, GDP (USD and PPP) - Emissions by sector (Transportation, Manufacturing, LUCF, etc.) - Total emissions (with and without LUCF) --- ## πŸ“Œ How to Run 1. Clone the repo: ```bash git clone github.com cd co2-emissions-dashboard