Project Overview
This project analyzes historical data on global sea levels from 1880 to 2014, and applies regression models to predict sea level rise through the year 2050.
The main goals are to:
- Visualize long-term trends in global sea level rise.
- Apply regression models to predict future sea levels.
- Compare projections based on full data vs. recent data.
Dataset
- Source: US Environmental Protection Agency (EPA), using CSIRO (2015) and NOAA (2015).
- Years: 1880–2014.
- Variables: Year and adjusted sea level (inches).
Methodology
- Data Preparation: Load and clean the dataset for analysis.
- Regression Models:
- Model 1: Fit using all data (1880–2014).
- Model 2: Fit using only recent data (2000–2014).
- Visualization: Scatter plot with best-fit regression lines.
Results
- Both regression models show a clear upward trend in sea level rise.
- Predictions differ depending on whether all historical data or only recent data is used, suggesting possible acceleration in recent years.