📅 2023-05-22 — Session: Enhanced Data Visualization with Python and Matplotlib
🕒 21:30–23:00
🏷️ Labels: Python, Data Visualization, Matplotlib, Grid Plotting, Histogram
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance data visualization capabilities using Python and Matplotlib, focusing on improving the representation of data through various plotting techniques.
Key Activities
- Modified the
process_datafunction to handle optional date ranges, allowing for more flexible data processing. - Customized histogram legends in Matplotlib to assign specific labels to datasets.
- Created histograms to visualize project counts per month using pandas and Matplotlib.
- Developed a heatmap-like plot to represent event occurrences, similar to GitHub’s contribution graph.
- Generated a grid representation of marked days, using Matplotlib to visualize weekdays and weeks.
- Transposed grids for vertical display, enhancing visualization of resistance events.
- Set x-axis tick labels to days of the week to improve plot readability.
- Corrected week index calculations and grid indexing in plotting, ensuring proper alignment and display of data.
Achievements
- Successfully implemented flexible data processing and enhanced visualization techniques.
- Improved the accuracy and readability of plots through custom labeling and indexing corrections.
Pending Tasks
- Further exploration of advanced visualization techniques to enhance data storytelling and insights.