📅 2023-09-28 — Session: Developed methods for handling and merging datasets
🕒 18:10–19:10
🏷️ Labels: Python, Data Processing, Merging Datasets, Pandas, CSV
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal:
The session aimed to explore and implement methods for handling Stata data files (.dta) and merging datasets using Python and R.
Key Activities:
- Discussed various methods to open and process .dta files using Stata, Python (pandas), and R (haven package).
- Provided code snippets and instructions for merging datasets in Python, focusing on analyzing discrepancies in country names.
- Developed a Python script to fix duplicated country names in DataFrames by splitting and retaining only the first part of the names.
- Outlined a Python script for merging multiple DataFrames, summing money columns, and displaying results with merge indicators.
- Created a CSV file with unique country names from datasets for manual matching, facilitating future data processing tasks.
Achievements:
- Successfully outlined methods to handle .dta files and merge datasets using Python and R.
- Developed scripts for data cleaning and merging, enhancing data processing capabilities.
Pending Tasks:
- Further manual matching of country names using the generated CSV file to ensure data consistency in future analyses.