Climate Change and Impacts in Africa
# Climate_Change_In_Africa
Climate Change and Impacts in Africa - Posible Steps to Follow
# Step 1: Data Loading and Preparation
1. Load the required R packages (`tidyverse`, `ggplot2`, `lm`, etc.).
2. Load the IEA-EDGAR CO2 dataset into R.
3. Clean and preprocess the dataset:
- Remove missing values.
- Filter data for Ethiopia, Mozambique, Nigeria, Tunisia, and Ghana.
- Convert data types if necessary.
# Step 2: Exploratory Data Analysis (EDA)
4. Explore and visualize the relationship between CO2 emissions and temperature in Ethiopia, Mozambique, Nigeria, and Tunisia using scatter plots.
5. Calculate correlation coefficients between CO2 emissions and temperature for each country.
# Step 3: Top 10 Industries with High CO2 Footprint in Ghana
6. Load additional data on industries and their CO2 emissions in Ghana.
7. Merge this industry data with the CO2 dataset for Ghana.
8. Calculate total CO2 emissions by industry and identify the top 10 industries with the highest CO2 footprint.
# Step 4: Linear Regression and CO2 Predictions
9. Group the CO2 dataset by region (Ethiopia, Mozambique, Nigeria, Tunisia) and year.
10. Perform linear regression analysis to model the relationship between CO2 emissions and temperature for each region separately.
11. Obtain regression coefficients and assess the model fit.
# Step 5: CO2 Predictions for 2025
12. Use the linear regression models to predict CO2 levels for the year 2025 in Ethiopia, Mozambique, Nigeria, and Tunisia.
13. Visualize the predicted CO2 levels along with actual data for each region.
# Step 6: Reporting and Visualization
14. Summarize the findings and insights from the analysis.
15. Create visualizations (line plots, bar charts, regression plots) to present the relationships, industry rankings, and CO2 predictions.
16. Compile a comprehensive report highlighting the impact of climate change, the relationship between temperature and CO2 emissions, top industries contributing to CO2 emissions in Ghana, and the pre …