Time-Series Analysis with Python

This project introduces time-series analysis and visualization using Python. The focus is on grouping data by seasonal patterns, exploring trends, and creating clear visualizations to understand temporal dynamics.

🔹 Project Highlights

• Worked with time-indexed datasets to explore patterns over time.
• Applied grouping and aggregation to analyze seasonal trends.
• Created visualizations in Python to highlight patterns, including line plots and seasonal breakdowns.
• Practiced foundational time-series concepts: trend, seasonality, and grouping.

🛠️ Technologies

• Python (Pandas, NumPy, Matplotlib, Seaborn)
• Jupyter Notebooks for interactive analysis
• Concepts applied: time-indexed data, grouping, aggregation, plotting