Exploratory data analysis on imputed dataset (Issue #120)

[Krishna200608]

Issue: #120

To ensure the analysis was based on high-quality data, I integrated the Physics-Constrained MICE Pipeline (developed in Issue #86) to impute missing values before visualization. This prevents skewed results from simple mean imputation.

Analysis & Methodology

The notebook Krishna200608_EDA.ipynb covers the following key areas:

1. Data Preparation (Imputation):

   • Applied IterativeImputer with min_value=0 to ensure no negative masses/radii.
   • Filtered out 100% empty columns to ensure technical stability.

2. Visualizations & Insights:

   • Planet Radius Distribution: Identified distinct clusters distinguishing Earth-sized planets from Gas Giants (Neptunes/Jupiters).
   • Mass-Radius Relationship: Plotted on a Log-Log scale to visualize planetary density curves. The results confirm expected physical laws (Rocky planets vs. Gas Giants).
   • Habitability Check: Analyzed Star Temperature vs. Orbital Distance. This highlights the "Goldilocks Zone" where liquid water could theoretically exist.
   • Correlation Matrix: Mapped relationships between orbital mechanics (Period, Semi-Major Axis) and physical properties.

Evidence

• Mass-Radius Plot: Confirmed that the imputed data preserves the natural steep density curve for rocky planets and the flatter curve for giants.
• Data Integrity: All visualizations confirm that no physically impossible values (e.g., negative radius) were introduced during preprocessing.

Checklist

• Notebook runs top-to-bottom without errors.
• Used the approved feature list (30 features).
• Visualizations include proper labels, titles, and legends.
• Directory structure follows tasks/EDA/submissions/.

[OpenGitBot]

Hey @Krishna200608

Thanks for opening this PR 🚀. Mentor will review your pull request soon and till then, keep contributing and stay calm.

Thanks for contributing in OpenCode'25 ✨✨!

[OpenGitBot]

Hey @Krishna200608

Your PR has been merged 🥳🥳 and you have earned 50 points.

Thanks for contributing in OpenCode'25✨✨