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).
# ☀️ 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.
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## 📋 Table of Contents
- Project Overview
- Live Dashboard
- Features
- Installation
- Usage
- Project Structure
- Data Analysis
- Technologies Used
- Key Findings
- Contributing
- License
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## 🎯 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)
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## 🌐 Live Dashboard
**🚀 Interactive Dashboard:**
zufan-hadgu-solar-challenge…
### Dashboard Features:
- 📊 **Real-time KPI Metrics**
- Average GHI, Peak Irradiance, Standard Deviation, Total Records
- 📈 **Time Series Analysis**
- Interactive plots with hourly aggregation
- Daily pattern analysis
- 📦 **Country Comparison**
- Side-by-side boxplots
- Statistical tests (ANOVA, Kruskal-Wallis)
- Summary statistics tables
- 🔗 **Correlation Analysis**
- Heatmaps showing variable relationships
- Key correlation insights
- 🌡️ **Environmental Factors**
- Scatter plots (GHI vs Temperature, GHI vs Humidity)
- Environmental variables summary
- 📥 **Data Export**
- Download filtered data as CSV
- Upload custom datasets
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## ✨ Features
### Data Analysis
- ✅ Co …