Explored Data Manipulation and Visualization Techniques

📅 2023-07-13 — Session: Explored Data Manipulation and Visualization Techniques

🕒 23:05–23:45
🏷️ Labels: Python, Pandas, Data Visualization, Clustering, Data Manipulation
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary aim of this session was to explore various data manipulation and visualization techniques using Python’s pandas and seaborn libraries.

Key Activities

• DataFrame Manipulation: Techniques for converting MultiIndex to a regular DataFrame using reset_index and to_frame methods were discussed. The session also covered reshaping data using pivot_table and unstack methods.
• [[Data Visualization]]: Created correlation matrix heatmaps using seaborn and matplotlib, including transposing matrices and generating visualizations.
• Hierarchical Clustering: Explored hierarchical clustering for correlation matrix analysis using scipy, including visualizing results with dendrograms and performing PCA.
• Data Concatenation: Demonstrated concatenating DataFrame columns using pandas apply function.

Achievements

• Successfully converted MultiIndex DataFrames and reshaped data using pandas.
• Created comprehensive visualizations of correlation matrices.
• Applied hierarchical clustering techniques and visualized results effectively.

Pending Tasks

• Further exploration of PCA results to derive actionable insights.
• Investigate alternative clustering methods for deeper analysis.