Processed and Visualized Argentina’s Basic Basket Data

• Day: 2023-01-03
• Time: 04:15 to 04:25
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Data Processing, Visualization, Argentina, Matplotlib

Description

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.

Evidence

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• event_ids: []