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Strategic evaluation of how efficiently selected European countries convert R&D spending into researcher human capital within the knowledge-intensive services sector (NACE G–N). I inspect the available data to assess whether increasing female participation in researcher roles correlates with improved spending efficiency and labour dynamics.

  • Updated Apr 13, 2026
  • Jupyter Notebook

💠 Global Population Analysis 💠 This project visualizes Global Population Data using Python. It covers data cleaning, transformation, and exploratory analysis. Includes static (Matplotlib/Seaborn) and interactive (Plotly) visualizations. Auto-generates insights in Markdown and a PowerPoint report.Helps uncover trends and global population pattern.

  • Updated Sep 5, 2025
  • Jupyter Notebook

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