📅 2024-11-06 — Session: Conducted comprehensive data analysis on household resources
🕒 22:40–22:55
🏷️ Labels: Data Analysis, Python, Household Resources, Socioeconomic Factors, Infrastructure
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal:
The session aimed to conduct a comprehensive analysis of various household resources including drinking water sources, sanitation access, electricity availability, agricultural land ownership, and asset ownership in livestock and farm animals. The goal was to identify disparities and inform potential infrastructure interventions.
Key Activities:
- Drinking Water Sources Analysis: Utilized Python to analyze proportions by household type, wealth quintile, urban vs. rural residence, gender of household head, and toilet facility type.
- Sanitation Access Analysis: Processed hv205 variable data to generate statistics on toilet facility types, wealth categories, urban vs. rural residence, gender of household head, and electricity availability.
- Electricity Availability Analysis: Developed a Python script to calculate proportions and cross-tabulations by wealth quintile, urban vs. rural residence, and gender of household head.
- Agricultural Land Ownership Analysis: Created tables illustrating land ownership distribution among households, considering urban vs. rural distinctions, wealth categories, gender disparities, and livestock ownership correlations.
- Asset Ownership Analysis: Conducted a Python-based analysis focusing on livestock, farm animals, and other assets across various demographic and socioeconomic factors.
- Data Presentation Enhancement: Set global display precision for pandas DataFrames to two decimal places for improved readability.
Achievements:
- Successfully executed data analysis scripts for multiple household resources, providing insights into demographic and socioeconomic disparities.
- Enhanced data presentation for better readability and pattern recognition.
Pending Tasks:
- Further analysis needed to integrate findings into actionable infrastructure intervention strategies.
- Exploration of additional demographic factors that might influence resource access disparities.