📅 2024-11-06 — Session: Data Analysis on Household Resources
🕒 22:40–22:55
🏷️ Labels: Data Analysis, Python, Socioeconomic, Household Resources, Statistics
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to perform a comprehensive data analysis on various household resources, including drinking water sources, sanitation access, electricity availability, agricultural land ownership, and asset ownership in livestock and farm animals. This analysis aims to identify disparities and inform infrastructure interventions.
Key Activities
- Drinking Water Sources Analysis: Analyzed data on drinking water sources by household type, wealth quintile, urban vs. rural residence, gender of household head, and toilet facility type.
- Sanitation Access Analysis: Processed sanitation access data focusing on demographic and economic factors.
- Electricity Availability Analysis: Analyzed electricity availability data, including cross-tabulations by wealth quintile and urban vs. rural residence.
- Agricultural Land Ownership Analysis: Analyzed agricultural land ownership data with a focus on demographic and economic factors.
- Asset Ownership Analysis: Conducted analysis on asset ownership across livestock and farm animals, focusing on socioeconomic factors.
- Data Presentation Optimization: Set global display precision for pandas DataFrames to enhance readability.
Achievements
- Developed insights into disparities in household resource access.
- Generated detailed statistical reports for each resource category.
Pending Tasks
- Further analysis on correlations between different resource access and socioeconomic outcomes.
- Visualization of the data insights for presentation purposes.