Time-Series Analysis and Visualization in Python

This repository contains my learning progress and projects on time-series data analysis using Python.
I explore techniques to make time-series data comparable, handle missing values, and create professional visualizations.

What I Learned

• Resampling and converting time-series data (e.g., daily → monthly)
• Fine-tuning Matplotlib charts: limits, labels, linestyles, markers, colours, and resolution
• Using grids to visualize seasonality in time series
• Finding and handling missing or NaN values in Pandas
• Working with Locators to better style time axes
• Applying previous concepts to new datasets for deeper understanding

🛠 Technologies Used

• Python 3.x
• Pandas
• Matplotlib
• NumPy
• Jupyter Notebook

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