Data AnalysisVisualization

IEA Energy Analysis

Comprehensive analysis of International Energy Agency data to uncover trends in global energy consumption.

PythonPandasPlotlyPower BI

Overview

Analyzed International Energy Agency (IEA) data to identify trends in global energy consumption, renewable energy adoption, and carbon emissions across different regions and time periods.


Problem Statement

Understanding global energy trends is crucial for:

  • Policy makers designing energy strategies
  • Investors evaluating clean energy opportunities
  • Researchers studying climate impact

This analysis provides actionable insights from IEA data.


Data

  • Source: IEA World Energy Statistics
  • Coverage: OECD Group Countries, 2010-2024
  • Metrics: Energy consumption, production, emissions

Approach

  1. Data Cleaning

    • Handled missing values across countries
    • Standardized units and categories
    • Created derived metrics (per capita, growth rates)
  2. Exploratory Analysis

    • Time series decomposition
    • Regional comparisons
    • Correlation analysis
  3. Visualization

    • Interactive Plotly dashboards
    • Comprehensive Graphs and Charts

Results & Impact

Key findings:

  • Average Net Import Ratio across all countries and years: 0.0680
  • Top Importer of Electricity Luxembourg with an Import Ratio of 0.8441
  • Top Exporter of Electricity Czech Republic with an Import Ratio of -0.2221

Key Learnings

  • Large-scale data requires careful preprocessing strategy
  • Storytelling with data is as important as analysis
  • Interactive visualizations improve stakeholder engagement

Links

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