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Hewan-kifle-19/climate-challenge-week0

Domain:

environment and energy

Record type:

dataset
Creator:
Hew
Host:
This week's challenge focuses on understanding, exploring, and analyzing historical climate and weather data from Ethiopia, Kenya, Sudan, Tanzania, and Nigeria. The challenge aims to evaluate candidates for the 12-week training program in Data Engineering (DE), Financial Analytics (FA), and Machine Learning Engineering (MLE). # β˜€οΈ Solar Data Discovery - Week 0 Challenge **10 Academy: Artificial Intelligence Mastery Program** A comprehensive exploratory data analysis (EDA) and visualization project analyzing solar irradiance data from three West African countries: Benin, Sierra Leone, and Togo. --- ## πŸ“‹ Table of Contents - Project Overview - Live Dashboard - Features - Installation - Usage - Project Structure - Data Analysis - Technologies Used - Key Findings - Contributing - License --- ## 🎯 Project Overview This project analyzes solar radiation datasets from Benin, Sierra Leone, and Togo to identify high-potential regions for solar farm installation. The analysis includes: - **Data Cleaning**: Handling missing values, outliers, and negative irradiance values - **Exploratory Data Analysis**: Statistical analysis and pattern identification - **Cross-Country Comparison**: ANOVA and Kruskal-Wallis tests to compare solar potential - **Interactive Dashboard**: Streamlit-based visualization platform **Dataset Details:** - **Records per Country**: 525,600 (1 year of minute-resolution data) - **Total Data Points**: 1.5+ million - **Variables**: 19 (including GHI, DNI, DHI, temperature, humidity, wind) --- ## 🌐 Live Dashboard **πŸš€ Interactive Dashboard:** zufan-hadgu-solar-challenge… ### Dashboard Features: - πŸ“Š **Real-time KPI Metrics** - Average GHI, Peak Irradiance, Standard Deviation, Total Records - πŸ“ˆ **Time Series Analysis** - Interactive plots with hourly aggregation - Daily pattern analysis - πŸ“¦ **Country Comparison** - Side-by-side boxplots - Statistical tests (ANOVA, Kruskal-Wallis) - Summary statistics tables - πŸ”— **Correlation Analysis** - Heatmaps showing variable relationships - Key correlation insights - 🌑️ **Environmental Factors** - Scatter plots (GHI vs Temperature, GHI vs Humidity) - Environmental variables summary - πŸ“₯ **Data Export** - Download filtered data as CSV - Upload custom datasets --- ## ✨ Features ### Data Analysis - βœ… Co …