Developed JSON data processing pipeline in Python

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📅 2023-06-29 — Session: Developed JSON data processing pipeline in Python

🕒 08:00–08:25
🏷️ Labels: Python, JSON, Data Processing, Pandas, Error Handling
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The goal of this session was to develop a robust data processing pipeline in Python to handle JSON files from 2022 and 2023, extract specific elements, and convert them into a structured format using pandas DataFrames.

Key Activities

  • Loaded JSON files using Python’s json module and os for directory traversal.
  • Clarified the relationship between a list named data and the JSON loading process.
  • Extracted placeVisit elements from JSON data using list comprehension.
  • Converted extracted data into pandas DataFrames, addressing an AttributeError by replacing the deprecated append method with concat.
  • Provided error handling for potential KeyError during JSON data extraction using try-except blocks.

Achievements

  • Successfully loaded and processed JSON files, extracting relevant placeVisit data.
  • Created pandas DataFrames from the extracted data, ensuring compatibility and stability by using the concat method.
  • Implemented error handling to manage missing keys gracefully.

Pending Tasks

  • Further testing and validation of the data processing pipeline with additional JSON datasets to ensure robustness and accuracy.

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