📅 2023-03-31 — Session: Developed data visualizations for project analysis
🕒 18:05–18:30
🏷️ Labels: Data Visualization, Python, Matplotlib, Bar Chart, Data Analysis
📂 Project: Dev
⭐ Priority: MEDIUM
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.