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This project focuses on analyzing the long-term climate data from Jena, Germany, collected at 10-minute intervals. The goal is to explore seasonal patterns, relationships between meteorological variables, and detect anomalies to gain insights into weather behavior.

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Analysis of Jena Climate Data: Time Series Exploration and Visualization

Description

This project focuses on analyzing the long-term climate data from Jena, Germany, collected at 10-minute intervals. The goal is to explore seasonal patterns, relationships between meteorological variables, and detect anomalies to gain insights into weather behavior.

Repository Contents

TO COMPLETE

Tools and Libraries

  • Python Libraries:
    TO COMPLETE

  • Techniques:
    TO COMPLETE

Key Results

TO COMPLETE

How to Run the Project

  1. Clone this repository to your local machine.
  2. Install dependencies listed in requirements.txt.
  3. Open and run the Jupyter Notebook jena_climate_analysis.ipynb to reproduce the results.

About

This project focuses on analyzing the long-term climate data from Jena, Germany, collected at 10-minute intervals. The goal is to explore seasonal patterns, relationships between meteorological variables, and detect anomalies to gain insights into weather behavior.

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