This project explores trends in climate change using Python and Jupyter Notebook. The analysis focuses on global temperature increases, carbon dioxide (CO₂) levels, and their relationship over time.
- Python
- Jupyter Notebook
- pandas
- matplotlib
The notebook includes:
- Data loading and preprocessing
- Visualization of global temperature and CO₂ trends
- Year-over-year comparisons
- Correlation analysis between temperature rise and CO₂ levels
- Global temperatures have shown a consistent increase since the mid-20th century
- CO₂ concentrations have been rising sharply, especially after 1950
- There is a clear positive correlation between CO₂ levels and temperature changes
- Data cleaning and transformation using
pandas - Visual storytelling with
matplotlib - Exploratory data analysis (EDA)
- Interpreting real-world environmental data
This project is for learning and demonstration purposes, showcasing basic data analysis and visualization skills on climate-related data.
Created by Chahana Hamal