📅 2023-03-16 — Session: Enhanced World Bank Project Visualization with GeoPandas

🕒 21:25–21:50
🏷️ Labels: Python, Data Visualization, Geopandas, World Bank, Matplotlib
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal: The session aimed to enhance the visualization of World Bank project locations using Python libraries such as Pandas, GeoPandas, and Matplotlib.

Key Activities:

  • Developed a Python script to analyze World Bank project locations, counting unique geoname IDs and generating summary statistics.
  • Updated visualization code to plot project locations on a world map, adjusting marker sizes and enhancing clarity with transparency and figure size adjustments.
  • Implemented FuncFormatter to format legend labels as integers in Matplotlib plots.
  • Corrected the use of GeoDataFrame.plot() for proper colorbar label formatting.
  • Addressed a coding error by using format_func instead of formatter for legend label formatting.
  • Utilized fmtstring in legend_kwds of GeoPandas to format legend bin edges without decimal places.

Achievements:

  • Successfully enhanced the visualization of project locations with improved clarity and accurate legend formatting.

Pending Tasks:

  • Review and test the updated visualization scripts for different datasets to ensure robustness and adaptability.