EDA Pro 2: Time Series EDA Notebook for Python

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🏷️ Title (Short & Search-Friendly)

EDA Pro 2: Time Series EDA Notebook for Python

📝 Product Description

Unlock insights from time series data with just a few lines of code.

EDA Pro 2 is a plug-and-play Jupyter Notebook designed to streamline the exploratory analysis of temporal datasets.
Whether you’re working with medical records, financial trends, sensor data, or sales logs — this notebook helps you understand, visualize, and prepare your time series quickly and confidently.

🧠 What’s inside:

• Load and explore datetime-indexed data in seconds
• Visualize trends, seasonality, and anomalies
• Plot rolling averages, resample data, and detect patterns
• Perform seasonal decomposition and autocorrelation analysis
• Export your cleaned or resampled data

🛠 Built for analysts, ML practitioners, and anyone working with time series in Python. No boilerplate. No bloat. Just clean, clear insights.

🎁 Includes:

• EDA_Pro_2_TimeSeries_EDA.ipynb
• Sample dataset (CSV)
• README + LICENSE

🔗 Ready for Jupyter, VS Code, or Google Colab

Created by Dr. Rene Claude Kouakou
ML Educator | Software Engineer | Preacher