📊 Data Science Visualizations

Welcome to my Data Science Visualizations Portfolio 🎨.
These plots were created as part of the course DS200 Research Methods, where I explored open datasets using Python (Matplotlib).

The full analysis and code are available in my GitHub Repository.

🗂 Dataset

  • Title: District wise Number of Schools, Student Enrollment and Pass Percentage (Class X & XII), Delhi (2023-24)
  • Source: Government of India Open Data Platform
  • Format: CSV
  • License: Government Open Data License – India (GODL)

📈 Visualizations & Findings

🔹 Scatter Plot — Enrollment vs Pass Percentage

Scatter Plot

Findings:

  • Negative correlation between enrollment size and pass percentage.
  • Class X correlation: -0.437 (moderate negative).
  • Class XII correlation: -0.227 (weak negative).
  • Suggests possible resource strain in districts with high enrollments.

🔹 Box Plot — Distribution of Pass Percentages

Box Plot

Findings:

  • Class XII outperforms Class X (97.22% vs 94.92% average).
  • Quality indices vary significantly across districts.
  • One outlier district in Class XII’s quality index identified.

🔹 Bar & Line Plot — Schools and Enrollment by District

Bar or Line Plot

Findings:

  • East District has the highest enrollment (189,406 students, 121 schools).
  • Student-to-school ratios vary widely (432 to 2,644 students per school).
  • Gender distribution remains relatively balanced across all districts.

🧐 Key Insights

🎓 Educational Performance

  • High pass percentages overall (Class X: 89%+, Class XII: 94%+).
  • Students improve from Class X → Class XII.
  • Performance is stable across districts with few outliers.

🏫 Resource Distribution

  • Large variation in student-to-school ratios.
  • High-enrollment districts face overcrowding.
  • Balanced gender ratios, but uneven infrastructure allocation.

🏛 Policy Implications

  1. Infrastructure Development → Prioritize districts with high student-to-school ratios.
  2. Quality Assurance → Investigate districts with performance outliers.
  3. Resource Optimization → Replicate strategies from high-performing districts.

📚 Citation

Government of India. (2024). District wise Number of Schools, Student Enrollment and Pass Percentage for Class X and XII in Delhi during 2023-2024.
Retrieved from data.gov.in.

✍️ This page is part of my DS200 Research Methods coursework, showcasing exploratory data analysis of government education datasets.