📅 2024-11-06 — Session: ETL Workflow and DHS Data Analysis
🕒 14:55–16:15
🏷️ Labels: ETL, DHS, Data Analysis, Python, SQL, Clipboard
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to explore and document various methods for handling data processing tasks, specifically focusing on ETL workflows using SQL and DHS data analysis.
Key Activities
- Clipboard Management: Discussed methods for capturing clipboard history across different operating systems.
- ETL Workflow: Outlined typical ETL processes using SQL, including data extraction, cleaning, and transformation.
- LinkedIn Tips: Provided strategies for finding and managing posts on LinkedIn.
- DHS Data Analysis: Assisted with DHS data analysis, including variable alignment and verification.
- File Management: Verified file paths for CSV files and converted .DO and .DCT files to .CSV using Python.
- Command Line Search: Provided instructions for searching substrings in files using command line tools.
- Data Loading: Developed methods for loading .DAT files using .DCT specifications in Python.
Achievements
- Established a comprehensive ETL workflow using SQL.
- Finalized and verified DHS dataset variables for analysis.
- Converted and loaded necessary data files for further analysis.
Pending Tasks
- Further exploration of DHS weights in survey data analysis.
- Continued refinement of data loading processes using Python.