Global Temperature Analysis

Overview

This project aims to analyze global temperature data over the years to identify trends, patterns, and anomalies.

Datasets

The following datasets are used in this project:

• ZonAnn.Ts+dSST.csv: Global annual mean temperature data.
• SH.Ts+dSST.csv: Southern Hemisphere temperature data.
• NH.Ts+dSST.csv: Northern Hemisphere temperature data.
• GLB.Ts+dSST.csv: Global temperature data.

Project Steps

1. Data Collection: Gather temperature data from various sources.
2. Data Cleaning: Clean and preprocess the data for analysis.
3. Exploratory Data Analysis (EDA): Analyze the data to identify trends and patterns.
4. Visualization: Create visualizations to represent the data findings.
5. Conclusion: Summarize the findings and insights.

How to Run the Analysis

1. Clone the repository:

   git clone https://github.com/IvyQwinn/GlobalTemperatureAnalysis.git