Enhanced Choropleth Maps with Custom Features

• Day: 2023-03-27
• Time: 08:55 to 09:10
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Choropleth Maps, Geopandas, Matplotlib, Data Visualization, Python

Description

Session Goal:

The session aimed to enhance the visualization of choropleth maps using Python libraries such as GeoPandas and Matplotlib by customizing features like colorbars, color scales, and map projections.

Key Activities:

• Customized the colorbar in choropleth maps by creating a separate axis and adjusting its properties.
• Fixed errors in the existing choropleth map code related to the cax argument in the merged.plot() function.
• Developed dual choropleth maps to illustrate different funding sources with distinct color schemes.
• Implemented a custom color scale blending blue and red to visualize overlapping data points.
• Removed colorbar legends from choropleth maps to improve clarity.
• Modified choropleth maps to adjust colorbar size and labeling for better visualization.
• Loaded and projected GeoDataFrames using the Robinson projection for accurate geospatial analysis.

Achievements:

• Successfully implemented and tested various customization techniques in choropleth maps.
• Enhanced the clarity and effectiveness of [[data visualization]] through tailored color scales and improved map projections.

Pending Tasks:

• Further exploration of additional map projections and color scale options for more complex datasets.

Evidence

• source_file=2023-03-27.sessions.jsonl, line_number=2, event_count=0, session_id=a648d1dc276eb408d38a1246ef436f38362cc2540a6c2f8616ffc0996b78ea4b
• event_ids: []