Categorized Economic Data and Developed Python Functions

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📅 2023-11-07 — Session: Categorized Economic Data and Developed Python Functions

🕒 04:10–05:00
🏷️ Labels: Economic Data, Categorization, Python, Dataframe, Macroeconomics
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to organize economic data into thematic categories and develop Python functions to manage and analyze this data effectively.

Key Activities

  • Categorización de Temas de Series de Tiempo del Ministerio de Economía: Developed an initial thematic categorization for organizing time series data from the Ministry of Economy into major themes and subthemes.
  • Categorization of Economic Distributions for Macroeconomics: Created a categorization framework focusing on GDP, Global Supply and Demand, and Sectoral Gross Value Added to highlight key economic indicators.
  • Correction of DataFrame Example Data: Identified and corrected an error in a DataFrame constructor example, ensuring consistent array lengths.
  • Python Function for Metadata Summary: Developed a Python function to retrieve and print summary information for a specific distribucion_id from a DataFrame, detailing unique and non-unique values.
  • Categorization of Economic Data Distributions: Structured economic data distributions into themes such as Economic Activity and Growth, Labor Market, and Sectoral Analysis.

Achievements

  • Successfully created a comprehensive categorization framework for economic data.
  • Developed and tested Python functions for data manipulation and metadata summarization.

Pending Tasks

  • Further refinement of the categorization framework to include additional economic indicators.
  • Validation of Python functions on larger datasets to ensure robustness.

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