📅 2023-03-29 — Session: Completed geospatial and data analysis tasks
🕒 23:20–00:00
🏷️ Labels: Geospatial Analysis, Data Processing, Causal Inference, DHS, Reporting
📂 Project: Business
⭐ Priority: MEDIUM
Session Goal
The session aimed to accomplish several tasks related to geospatial analysis, causal inference techniques, and data processing for social science research.
Key Activities
- Project Accomplishments: Discussed how each accomplishment fits within the broader project context, emphasizing collaboration.
- Geospatial Tasks: Outlined tasks for calculating distances between DHS clusters and the nearest road network.
- Data Analysis Techniques: Explored statistical methods for causal inference, including regression and covariate checks.
- [[Data Visualization]]: Created maps and histograms to visualize DHS survey points and covariates in Africa.
- Data Processing: Planned data processing tasks relevant to social science research on conflict and civic engagement.
- Report Completion: Finalized a report on analysis and processing tasks related to violent conflict and service delivery.
Achievements
- Successfully outlined geospatial tasks and data analysis techniques.
- Completed a comprehensive report detailing analysis and processing tasks.
Pending Tasks
- Further exploration of causal inference techniques and their application to ongoing projects.