📅 2023-04-20 — Session: Implemented Python code for data extraction and analysis
🕒 22:40–23:15
🏷️ Labels: Python, Data Extraction, Data Integrity, Pandas, Data Manipulation
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session focused on developing Python code snippets to extract values from strings and analyze datasets for data integrity.
Key Activities
- Developed and corrected Python code to extract values following the ‘Nombre: ’ label from a list of strings.
- Implemented data parsing techniques to ensure accurate data extraction.
- Explored methods to identify minimal composite keys in datasets, enhancing data integrity.
- Worked on deduplication techniques by identifying minimal subsets of columns in datasets using Python and pandas.
- Demonstrated intersection of DataFrame columns with specified lists for efficient data manipulation.
Achievements
- Successfully created and corrected Python code snippets for data extraction tasks.
- Clarified methods for identifying minimal composite keys and deduplication in datasets.
- Enhanced understanding of data manipulation using Python and pandas.
Pending Tasks
- Further exploration of advanced data extraction techniques and optimization of existing code for efficiency.