Enhanced Geospatial Data Visualization for World Bank Projects

• Day: 2023-03-16
• Time: 21:25 to 21:45
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Data Visualization, Geospatial Analysis, World Bank, Geopandas

Description

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.

Evidence

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• event_ids: []