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Cotton Data Visualization Project 🌱🧶

Explore the journey of cotton from its botanical origins to its cultural and economic significance through interactive data visualizations. This project combines species distribution, conservation status, global occurrences, and social aspects of handcrafting.

📂 Current Content

botany-and-distribution/
├── CottonSpecies.ipynb             # Notebook
├── wikidata-cotton-species.csv     # Species data from Wikidata
├── geodata-cotton-species.csv      # Georeferenced occurrences from GBIF
├── cotton_merged.csv               # Merged and cleaned dataset for visualization

Future chapters will cover cotton production, trade flows, and crafting communities.

📊 Key Features

  • Merge botanical and geospatial data for cotton species
  • Interactive choropleth maps and rotating globe visualizations
  • Exploration of conservation status per species

🛠️ Tools

  • Python 3.x with Jupyter Notebooks
  • Data Analysis: Pandas, NumPy
  • Visualization: Matplotlib, Plotly, Folium, Pywaffle
  • Geospatial: Geopandas
  • API Interactions: Requests
  • Utilities: tqdm

🚀 How to Run

# Install required libraries
pip install pandas numpy matplotlib plotly folium geopandas requests tqdm pywaffle

# Run notebooks by directory
cd botany-and-distribution
jupyter notebook CottonSpecies.ipynb

📄 License

This project is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) – feel free to use, share, and adapt with proper attribution.