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🪐 Asthortera Data Analytics Notebook

This project demonstrates the analytical exploration of fictional planetary data within the Asthortera universe, designed as part of the Reltroner Studio portfolio.
Using Python, pandas, NumPy, and Matplotlib, the notebook asthortera_starter_notebook.ipynb analyzes demographic and economic indicators across five major nations — Reltronland, Depcutland, Aurastelia, Stelpadland, and Pencilfania.

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📊 Key Features

• Dataset: asthortera_economy_demographics.csv Includes variables such as GDP Share (%), GDP Growth (%), SDI, TFR, Median Age, Longevity, and Population (billions).
• Tools Used: Jupyter Notebook, Python 3, pandas, NumPy, Matplotlib
• Core Analyses:
  • Correlation between socio-economic indicators (SDI vs GDP Growth)
  • Demographic visualization: Median Age vs TFR
  • Regional comparison through bar and scatter plots
• Outcome:
  Provides clear, reproducible visual and statistical insights linking fertility rates, longevity, and productivity to the Sentient Development Index (SDI).

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💡 Project Summary

This notebook demonstrates data modeling, exploratory visualization, and analytical storytelling within a fictional world context. It bridges creative worldbuilding and data analytics practice, highlighting how fictional socio-economic structures can be treated as realistic datasets for analytical training and portfolio presentation.

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🧭 Technical Skills Demonstrated

• Data analysis using pandas and NumPy
• Data visualization using Matplotlib
• Feature correlation and interpretation
• Reproducible notebook documentation

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🌐 Context within Reltroner Studio

The project belongs to the broader Asthortera Canon, a fictional multi-planet civilization framework under Reltroner Studio — combining technical design, socio-economic realism, and creative analytics for professional and narrative integration.

“Let Astralis light the unknown.”