📅 2023-03-27 — Session: Enhanced code clarity and data visualization techniques
🕒 08:30–08:40
🏷️ Labels: Code Clarity, Data Visualization, Geodataframes, Plotly, Python
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance code clarity and explore data visualization techniques for funding analysis.
Key Activities
- Improved code clarity by adding descriptive comments and renaming columns for better readability in geospatial analysis using Python and GeoDataFrames.
- Explored data visualization techniques for funding analysis, including effective plots such as bar charts, scatter plots, choropleth maps, and bubble charts.
- Created a choropleth map using GeoPandas and Matplotlib to visualize World Bank funding by country.
- Modified Plotly plot layout parameters to adjust bar sizes and added traces for World Bank and China projects.
- Provided an overview of the Go programming language, highlighting its key features and use cases.
- Resolved a common error in Python by correctly importing the Plotly module.
Achievements
- Enhanced code readability and informativeness in geospatial analysis scripts.
- Developed a clear plan for visualizing funding data using various chart types.
- Successfully created and adjusted data visualizations using GeoPandas, Matplotlib, and Plotly.
- Gained insights into the Go programming language for potential future use.
Pending Tasks
- Further exploration of advanced data visualization techniques in Plotly for more complex datasets.