📅 2023-01-03 — Session: Processed and Visualized Argentina’s Basic Basket Data
🕒 04:15–04:25
🏷️ Labels: Python, Data Processing, Visualization, Argentina, Matplotlib
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to process and visualize data related to Argentina’s Basic Food Basket (CBA) and Total Basket (CBT) using Python.
Key Activities
- Data Processing: Implemented Python code to download and process CSV files related to Argentina’s CBA and CBT, loading them into pandas dataframes and concatenating them into a single dataframe.
- [[Data Visualization]]: Created visualizations to show the evolution of CBA and CBT, as well as the inverse of the Engel coefficient for each region, using Matplotlib.
- Code Optimization: Developed a more compact and efficient version of the code for plotting CBA and CBT data, including legends and y-axis labels for clarity.
Achievements
- Successfully processed and visualized the data, providing insights into the economic conditions in Argentina.
Pending Tasks
- Further analysis of the visualized data to extract actionable insights.
- Possible integration of additional datasets for a more comprehensive analysis.