Converted Jupyter Notebooks and Data Processing Scripts

• Day: 2023-04-04
• Time: 18:20 to 19:25
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Jupyter, Markdown, Python, Pandas, Data Processing

Description

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.

Evidence

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• event_ids: []