📅 2024-11-06 — Session: DHS Data Analysis for Civic Engagement and Economic Stability
🕒 16:30–17:05
🏷️ Labels: DHS, Civic Engagement, Economic Stability, Data Analysis, Python
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to explore DHS survey data to gain insights into civic engagement, trust, violence, social stability, and economic stability through various analyses.
Key Activities
- Explored potential analyses using DHS survey data focusing on civic engagement, trust in governance, violence, and social stability.
- Developed a processing plan for a household economic stability report, focusing on socio-demographic characteristics.
- Outlined an ETL process for transforming demographic and household 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.
- Conducted analysis of agricultural assets and livelihoods to assess economic resilience in rural areas.
- Executed Python code for household demographics analysis and wealth index analysis using pandas.
Achievements
- Established a structured approach for analyzing DHS data related to civic engagement and economic stability.
- Developed code snippets for demographic and wealth index analysis.
Pending Tasks
- Further refinement of data processing steps and analysis code for comprehensive reporting.
- Visualization of analysis outcomes for stakeholder presentations.