📅 2023-10-29 — Session: Developed Customizable Income Visualization in Python
🕒 17:30–18:30
🏷️ Labels: Python, Data Visualization, Matplotlib, Seaborn, Income Statistics
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to develop a series of data visualizations for income statistics by province using Python libraries such as Matplotlib and Seaborn.
Key Activities
- Created a box plot using Seaborn to visualize quartiles and medians, with customization options for enhanced visualization.
- Addressed an unexpected reset of the code execution environment by requesting the data series again to regenerate plots.
- Developed a scatter plot with IQR bars using Matplotlib and Seaborn, focusing on income statistics visualization.
- Implemented a customizable plot for income statistics by province, including data preparation and visualization adjustments.
- Visualized income statistics with engineering notation on the y-axis to enhance readability.
- Filtered a Pandas DataFrame by date and specific conditions to prepare data for visualization.
- Adjusted marker sizes in scatter plots based on population size to provide additional context.
Achievements
- Successfully created multiple visualizations for income statistics, including box plots and scatter plots with IQR bars.
- Enhanced visualization readability using engineering notation and marker size adjustments.
Pending Tasks
- Further exploration of data series to ensure comprehensive visualization coverage.
- Optimization of code for efficiency and performance in generating plots.