Thierry5610/sustainable-energy-planning

A Comprehensive Analysis of Energy Consumption, Demand Forecasting, and Infrastructure Recommendations in Cameroon # PySpark Jupyter Notebook Project This project contains PySpark Jupyter notebooks for analyzing energy consumption data. You can run this project in two ways: 1. Using Docker (Recommended): This method is guaranteed to work and ensures a consistent environment. 2. Using requirements.txt (Optional): This method is not guaranteed to work and depends on your local system configuration. --- ### Option 1: Using Docker (Recommended) #### Prerequisites - Docker installed on your system. If you don't have Docker, follow the installation guide for your operating system: - Windows: docs.docker.com - macOS: docs.docker.com - Linux: docs.docker.com #### Steps to Run the Project 1. Extract the files from the folder I sent you to a directory on your computer. For example: - On Windows: Extract to `C:\Users\ \Documents\pyspark-project`. - On macOS/Linux: Extract to `/home/ /pyspark-project`. 2. Open a terminal (Command Prompt on Windows, Terminal on macOS/Linux) and navigate to the extracted folder. For example: - On Windows: ``` cd C:\Users\ \Documents\pyspark-project ``` - On macOS/Linux: ``` cd /home/ /pyspark-project ``` 3. Pull the PySpark Jupyter Docker image: ``` docker pull jupyter/pyspark-notebook:latest ``` 4. Run the Docker container and mount the current directory: ``` docker run -p 8888:8888 -v "$(pwd)":/home/jovyan/work jupyter/pyspark-notebook ``` 5. Access Jupyter Notebook: - Open your browser and navigate to `localhost`. - The token for access will be displayed in the terminal where you ran the `docker run` command. 6. Open and run the notebooks: - In the Jupyter interface, navigate to the directory. - Open and run the notebooks. --- ### Option 2: Using requirements.txt (Optional) #### Prerequisites - Python 3.8 or higher. - Java 8 or higher (required for PySpark). - pip (Python package manager). #### Steps to Run the Project 1. Extra …