📅 2024-11-06 — Session: Comprehensive Analysis of Household Economic Stability
🕒 16:30–17:05
🏷️ Labels: DHS, Economic Stability, Data Analysis, Wealth Analysis, Public Health
📂 Project: Business
⭐ Priority: MEDIUM
Session Goal: The session aimed to explore various aspects of household economic stability using DHS data, focusing on civic engagement, trust, economic stability, and social disparities.
Key Activities:
- Explored potential analyses using DHS survey data to derive insights on civic engagement, trust, violence, and social stability.
- Planned a structured approach for analyzing household data variables to assess economic stability and socio-demographic characteristics.
- Outlined an ETL process for transforming demographic and household characteristics data into actionable statistics.
- Integrated wealth-related variables into economic analysis to understand economic stability and inequality.
- Analyzed living conditions and access to services, focusing on urban-rural disparities and public health implications.
- Examined agricultural assets and livelihoods to assess economic resilience in rural areas.
- Executed Python code for household demographic analysis and wealth index analysis using pandas.
Achievements:
- Developed a comprehensive plan for analyzing household economic stability and socio-demographic factors.
- Created Python code snippets for demographic and wealth index analysis, addressing issues like multiple modes in data aggregation.
Pending Tasks:
- Further refinement of analysis methods for wealth index factor scores and their implications for economic inequality.
- Completion of reporting formats for visualizing ownership patterns by socioeconomic factors.