📅 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.