Developed Customizable Income Visualization in Python

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Developed Customizable Income Visualization in Python

  • Day: 2023-10-29
  • Time: 17:30 to 18:30
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Python, Data Visualization, Matplotlib, Seaborn, Income Statistics

Description

Session Goal

The session aimed to develop a series of data visualizations for income statistics by province using Python libraries such as Matplotlib and Seaborn.

Key Activities

  • Created a box plot using Seaborn to visualize quartiles and medians, with customization options for enhanced visualization.
  • Addressed an unexpected reset of the code execution environment by requesting the data series again to regenerate plots.
  • Developed a scatter plot with IQR bars using Matplotlib and Seaborn, focusing on income statistics visualization.
  • Implemented a customizable plot for income statistics by province, including data preparation and visualization adjustments.
  • Visualized income statistics with engineering notation on the y-axis to enhance readability.
  • Filtered a Pandas DataFrame by date and specific conditions to prepare data for visualization.
  • Adjusted marker sizes in scatter plots based on population size to provide additional context.

Achievements

  • Successfully created multiple visualizations for income statistics, including box plots and scatter plots with IQR bars.
  • Enhanced visualization readability using engineering notation and marker size adjustments.

Pending Tasks

  • Further exploration of data series to ensure comprehensive visualization coverage.
  • Optimization of code for efficiency and performance in generating plots.

Evidence

  • source_file=2023-10-29.sessions.jsonl, line_number=1, event_count=0, session_id=f0729239282824810f0cf95126edd42e0928c6d961605c7e22e2e06cbf514655
  • event_ids: []

Graph View

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