Climate Data Analysis

This repository contains a Jupyter notebook focusing on an analysis of paleo-present CO2, temperature, and ice data, and rain data for Ireland since 1700.

Project Overview

This project aims to delve into a comprehensive examination of climate data across an extensive timeline, ranging from 800,000 years ago to the present day. The analysis primarily focuses on establishing correlations between CO2 levels and temperature anomalies while also exploring changes in polar ice coverage as a key variable. This research also seeks to investigate climate change signals within the context of Ireland's meteorological observations and harnesses data fusion techniques to amalgamate multiple datasets into a structured pandas dataframe.

File Structure

• project: Folder containing Jupyter notebook and many subfolders with relevant data.
• readme.md: This file, providing an overview of the project, its objectives, and the tools used.
• .gitignore: Used to keep the repository tidy, and avoid accidental file upload.

Project Structure

The project.ipynb file within this repository is organized into the following sections, which are stylised using markdown for ease of usage:

• Introduction
• Extraction
• Transformations
• Cleaning, Regression, and Interpolation
• Data Comparison
• Synthesis
• Conclusions
• References

Tools and Libraries

This project was developed using:

• Visual Studio Code
• Jupyter Notebooks (via Anaconda)
• Python 3.11.5
• Libraries used: pandas, matplotlib, seaborn, scipy, sklearn

Running the Jupyter Notebook

To run the Jupyter Notebook included in this repository, follow these steps:

Clone the Repository

git clone https://github.com/nexlanglxm/climate-data-analysis.git

cd project

Install Required Dependencies

Ensure you have Python installed, preferably Python 3.11, along with the necessary libraries. You can install the required libraries using pip:

pip install 

Open the Notebook

Open the Jupyter Notebook using Jupyter Notebook, Jupyter Lab, or Visual Studio Code.

Execute Cells

Inside the notebook, execute each cell sequentially by clicking on them and pressing Shift + Enter to run the code cells.

Acknowledgments

References and sources used in this project are cited during and listed in their entireity at the end of the project.ipynb file.