Developed data visualizations for project analysis

• Day: 2023-03-31
• Time: 18:05 to 18:30
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Data Visualization, Python, Matplotlib, Bar Chart, Data Analysis

Description

Session Goal

The session aimed to develop and refine data visualizations comparing Chinese and World Bank projects across various administrative areas and years.

Key Activities

• Created stacked bar charts to display the number of projects by administrative area using Python and Matplotlib.
• Implemented techniques for rotating x-axis labels to improve readability.
• Developed split bar plots to compare funding by recipient over multiple years.
• Utilized pandas to enforce datetime data types when reading CSV files.
• Addressed mismatched tick locations and labels in Matplotlib plots, ensuring proper alignment and labeling.

Achievements

• Successfully generated multiple types of bar plots, including stacked, split, and grouped, to visualize project data effectively.
• Improved code readability and plot aesthetics by updating labels and bar widths.
• Resolved errors related to tick locations, ensuring accurate data representation.

Pending Tasks

• Further refinement of visualizations may be needed based on stakeholder feedback, particularly in terms of aesthetic adjustments and additional data integration.

Evidence

• source_file=2023-03-31.sessions.jsonl, line_number=2, event_count=0, session_id=d2ccdb9a14a83fefdfc3b10fc658dea118efb31762503dd8edd92a4bb74bd0ff
• event_ids: []