Elish-Ab/KAIM-WEEK0-Solar_Farm_EDA_project
Domaine:
environment and energyType de record:
project
Créateur:
Eli
Hôte:
These repo is about EDA of 3 solar farms in africa.
# KAIM WEEK0 Project
## Overview
This project involves analyzing solar radiation and weather data from three different countries (Benin, Sierra Leone, and Togo). The data analysis includes data cleaning, exploratory data analysis (EDA), and visualization. Additionally, an interactive dashboard is created using **Streamlit** to visualize the insights and interact with the data dynamically. Finally, the dashboard is deployed on **Streamlit Community Cloud** for public access.
## Table of Contents
- Project Structure
- Installation
- Data Analysis
- Data Quality Check
- Exploratory Data Analysis (EDA)
- Time Series Analysis
- Correlation Analysis
- Outlier Detection and Z-Score Analysis
- Wind & Temperature Analysis
- Dashboard Development
- Deployment
- [Usage
## Project Structure
├── .streamlit │ └── config.toml
├── .vscode │ └── settings.json
├── .github │ └── workflows │ ├── unittests.yml
├── .gitignore
├── requirements.txt
├── README.md
├── notebooks │ ├── init.py │ ├── EDA.ipynb │ └── README.md
├── tests │ ├── init.py
├── app │ ├── init.py │ ├── main.py # main Streamlit application script │ ├── utils.py # utility functions for data processing and visualization └── scripts ├── init.py └── README.md
---
## Installation
To run the project locally, follow these steps:
1. **Clone the repository**:
```bash
git clone github.com
cd KAIM-WEEK0
2. **Create a virtual environment (optional but recommended):**
```bash
python -m venv .venv
source .venv/bin/activate # On Windows, use .venv\Scripts\activate
```
3. Install the required dependencies:
```bash
pip install -r requirements.txt
```
## Data Analysis
Data Quality Check
Missing Values: Identified missing values in the datasets (Benin, Sierra Leone, and Togo) and applied imputation or removal strategies.
Outliers Detection: Applied Z-score analysis to detect anomalies in columns such as GHI, DNI, DHI, Tamb, WS, WSgust.
Incorrect Entries: Filtered out incorrect entries, e.g …