📅 2023-05-18 — Session: Implemented Gitignore and Data Analysis Techniques

🕒 02:20–03:00
🏷️ Labels: Git, Pandas, Data Visualization, Clustering, Python
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance repository management by excluding unnecessary folders using .gitignore and to perform advanced data analysis and visualization using Python libraries.

Key Activities

  • Configured a .gitignore file to exclude the datos folder from the Git repository, including staging and committing the changes.
  • Demonstrated data manipulation using pandas, including grouping and aggregating data by monthly frequency and creating a date table from grouped data.
  • Formatted dates in a DataFrame to ‘yyyy-mm’ format for better readability.
  • Created and customized a correlation matrix heatmap using Seaborn and Matplotlib, with a focus on visual clarity and customization.
  • Applied hierarchical clustering to time series data, visualizing it with a dendrogram using Seaborn.
  • Utilized Dynamic Time Warping (DTW) for comparing time series of different lengths, enhancing clustering analysis.

Achievements

  • Successfully excluded a folder from the Git repository using .gitignore.
  • Completed data aggregation and visualization tasks, including the creation of a correlation matrix heatmap and hierarchical clustering dendrogram.

Pending Tasks

  • Further exploration of advanced clustering techniques and optimization of data visualization parameters may be required for future sessions.