Converted Jupyter Notebooks and Data Processing Scripts

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📅 2023-04-04 — Session: Converted Jupyter Notebooks and Data Processing Scripts

🕒 18:20–19:25
🏷️ Labels: Jupyter, Markdown, Python, Pandas, Data Processing
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal: The session aimed to automate the conversion of Jupyter notebooks to Markdown format and enhance data processing techniques using Python and Pandas.

Key Activities:

  • Converted Jupyter notebook scripts to Markdown, ensuring proper formatting with escaped code blocks.
  • Introduced a Data Cleaning Notebook for processing electoral data, detailing its structure and functionalities.
  • Provided Python code snippets for converting DataFrame column names to lowercase using Pandas.
  • Demonstrated methods for storing and reading dictionaries in JSON and CSV formats.
  • Modified Python code for CSV data transformation by adding file tag columns and saving results to a single CSV file.
  • Showcased data transformation and merging techniques in Pandas, including handling non-unique section names.
  • Discussed optimizing data grouping in Pandas using the groupby function.
  • Provided code for grouping and extracting modal values in a DataFrame based on specific criteria.
  • Demonstrated saving a Python dictionary to a JSON file using the json module.

Achievements:

  • Successfully converted Jupyter notebooks to Markdown format.
  • Enhanced data processing workflows with new scripts and methods.

Pending Tasks:

  • Further refinement of data cleaning scripts for specific electoral datasets.
  • Exploration of additional data transformation techniques in Pandas.

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