Enhanced Geospatial Data Visualization for World Bank Projects

📅 2023-03-16 — Session: Enhanced Geospatial Data Visualization for World Bank Projects

🕒 21:25–21:45
🏷️ Labels: Python, Data Visualization, Geospatial Analysis, World Bank, Geopandas
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance the geospatial data visualization of World Bank project locations using Python libraries.

Key Activities

• Developed a Python script to analyze World Bank project locations, focusing on unique geoname IDs, summary statistics, and visualization using histograms and choropleth maps.
• Updated code to plot project locations on a world map with improved visual clarity, adjusting marker sizes and transparency.
• Utilized FuncFormatter from matplotlib.ticker to format legend labels as integers without decimal places.
• Corrected a GeoDataFrame plotting error by using format_func instead of formatter for legend labels.
• Explained the use of fmtstring in legend_kwds for GeoPandas to format bin edges in the legend.

Achievements

• Successfully implemented and corrected visualization techniques for geospatial data, improving the clarity and accuracy of the plots.

Pending Tasks

• Further refinement of visualization parameters and exploration of additional geospatial libraries for enhanced data representation.