Developed Data Manipulation Techniques in Excel and Google Sheets

• Day: 2024-10-14
• Time: 18:30 to 20:15
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Google Sheets, Excel, Data Manipulation, Formulas

Description

Session Goal

The session aimed to develop and refine data manipulation techniques in Excel and Google Sheets, focusing on replicating functionalities similar to Pandas in Python.

Key Activities

• Simulated the ‘stack’ functionality from Pandas in Google Sheets using ARRAYFORMULA, FLATTEN, and FILTER functions.
• Proposed improvements to the data structure of Individualized Study Plans (PEI) to enhance efficiency by adopting a ‘long’ format.
• Developed methods to retrieve the latest date from datasets in both Google Sheets and Excel using formulas like FILTER, SORT, INDEX, and addressed common formula errors.
• Provided corrected formulas and troubleshooting tips for common errors in Google Sheets and Excel, including syntax issues and formula parsing errors.

Achievements

• Successfully created and documented methods for complex data manipulation tasks in Google Sheets and Excel.
• Enhanced understanding of formula application and error resolution in spreadsheet software.

Pending Tasks

• Further exploration of optimizing data retrieval methods and error handling in larger datasets.

Evidence

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• event_ids: []