enerlytics 0.1.0

Renewable energy insights dashboard — data-driven exploration of energy systems and consumption patterns.

🌍 Renewable Energy Insights Dashboard

The Renewable Energy Insights Dashboard is a data analysis project focused on the United States, exploring how renewable energy production — including solar, wind, hydroelectric, geothermal, and biomass — has evolved from 1973 to 2024. By transforming raw U.S. Energy Information Administration (EIA) data into interactive insights, this project supports data-driven decisions for a sustainable energy future.

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🎯 Objectives

• Analyze U.S. renewable energy production by year, energy source, and sector (e.g., electric power, industrial)
• Identify long-term growth trends and structural shifts in energy mix
• Create interactive visualizations to reveal patterns and anomalies
• Deliver insights through a user-friendly Streamlit dashboard

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🧩 Tech Stack

Category	Tools / Libraries
Programming	Python
Data Handling	Pandas, NumPy
Visualization	Matplotlib, Seaborn, Plotly
Dashboard	Streamlit
Deployment	Streamlit Cloud / Render
Version Control	Git & GitHub

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📊 Features

✅ Clean and aggregate monthly EIA data into annual totals
✅ Visualize historical trends (1973–2024) by energy type
✅ Compare contributions of solar, wind, hydro, geothermal, biomass, and waste
✅ Interactive Streamlit dashboard with dynamic filtering
✅ Modular design — ready to extend with time-series forecasting (e.g., Prophet, ARIMA)