📅 2023-01-03 — Session: Processed and Visualized Basic Food Basket Data

🕒 04:15–04:25
🏷️ Labels: Python, Data Visualization, Pandas, Matplotlib, Argentina
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to process and visualize data related to the Basic Food Basket in Argentina using Python.

Key Activities

  • Downloaded and processed CSV files related to the Basic Food Basket in Argentina, loading them into Pandas dataframes and concatenating them into a single dataframe.
  • Developed code to visualize the evolution of the Basic Food Basket and the inverse of the Engel coefficient across regions.
  • Utilized Matplotlib’s subplots function to create dual plots within a single figure, adding legends and labels for clarity.
  • Refined Python code for more efficient plotting of CBA and CBT data, focusing on clarity and compactness.

Achievements

  • Successfully processed and visualized the Basic Food Basket data, enhancing understanding of regional differences and trends using Python and Matplotlib.

Pending Tasks

  • No pending tasks identified; session goals were fully achieved.