Implemented data processing and conversion scripts

1 min read

📅 2023-01-05 — Session: Implemented data processing and conversion scripts

🕒 22:25–23:15
🏷️ Labels: Python, Data Processing, Automation, CSV, Geojson
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal:

To develop and refine scripts for data processing and conversion tasks using Python.

Key Activities:

  • Created a directory and saved a DataFrame as a CSV file using the os module.
  • Processed GeoJSON files to extract and merge household data, outputting consolidated CSV files.
  • Reviewed and suggested code efficiency improvements for data manipulation with pandas.
  • Developed a script to convert DAT files to CSV format using corresponding DCT files for parsing.
  • Implemented a data processing script for HR data files, validating geographic codes and displaying data previews.
  • Processed GeoJSON files for cluster data, merging information from CSV files based on geographic identifiers.
  • Listed Jupyter Notebook files in the current directory using the glob module.

Achievements:

  • Successfully implemented multiple scripts for data processing and conversion.
  • Enhanced code efficiency and data handling using pandas.
  • Automated the conversion of DAT files to CSV format.

Pending Tasks:

  • Further optimization of data processing scripts for large datasets.
  • Integration of additional validation checks in data conversion scripts.

Graph View

Backlinks