mastour30/Africa-Solar-Energy-Project

Analysis of solar energy investment potential across African countries using GHI, GDP, and electricity production. # Africa Solar Energy Project ## Project Overview This project analyzes solar energy potential across African countries. It calculates the average solar irradiation (GHI), merges it with GDP and electricity production data, and identifies the top 3 investment target countries. ## Files Included - main.py : Python code for analysis and visualizations - Data/ : Folder with datasets - Africa Energy Database_Kaggle.xlsx - Africa_GHI_by_Country.xlsx - Sub-Saharan-Africa_GISdata_LTAy_AvgDailyTotals_GlobalSolarAtlas-v2_GEOTIFF/GHI.tif - naturalearth_countries/*.shp, *.shx, *.dbf, *.prj, *.README.html - Outputs/ : Generated charts and maps - scatter_gdp_ghi.png - hist_avg_ghi.png - corr_heatmap.png - top3_investment_targets.xlsx : Final top 3 investment targets - descriptive_stats.xlsx : Descriptive statistics - README.txt : This file ## How to Run 1. Install Python 3.x and required libraries: ```bash pip install pandas geopandas rasterio rasterstats matplotlib plotly openpyxl 2. Run the script: ```bash python main.py 4. Outputs will be saved in `Data/` (Excel files) and `Outputs/` (charts).