Developed Advanced Data Visualization Techniques in Python

1 min read

📅 2023-08-18 — Session: Developed Advanced Data Visualization Techniques in Python

🕒 20:15–20:30
🏷️ Labels: Data Visualization, Matplotlib, Python, Scatter Plot, Box Plot
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance data visualization capabilities using Python’s Matplotlib library by integrating scatter and box plots in various configurations.

Key Activities

  • Detailed exploration of plotting scatter and box plots on the same figure using Matplotlib’s subplot feature.
  • Implemented loops to generate scatter and weighted box plots for combinations of DataFrame columns.
  • Developed code for creating combined scatter and box plots for unique data combinations from the ‘main_listas’ DataFrame.
  • Generated separate figures with subplots for each parameter combination in a DataFrame.
  • Stacked scatter and box plots vertically within a single figure using gridspec_kw for size adjustments.
  • Superimposed box plots on scatter plots using the same X-axis, specifically for income data.

Achievements

  • Successfully implemented multiple data visualization techniques, enhancing the ability to analyze and present data insights effectively.

Pending Tasks

  • Further optimization of visualization code for performance and clarity.
  • Explore additional customization options for plot aesthetics and interactivity.

Graph View

Backlinks