This project is an interactive climate data analysis platform built in R. It includes modules for data ingestion, processing, machine learning, visualization, and notifications, all integrated within a Shiny application.
ClimateAnalyticsProject/
├── app/
│ ├── app.R # Main entry point for the Shiny application
│ ├── global.R # Global configurations and package loading
│ ├── ui.R # User Interface definitions with authentication
│ └── server.R # Server logic handling app functionalities
├── data/
│ └── sample_climate_data.csv # Sample climate dataset
├── R/
│ ├── auth.R # Authentication functions
│ ├── data_ingestion.R # Data ingestion functions
│ ├── data_processing.R # Data processing functions
│ ├── ml_models.R # Machine learning model functions
│ ├── notifications.R # Notification and alert functions
│ ├── utils.R # Utility functions
│ └── visualization.R # Visualization functions
├── docs/
│ ├── README.md # Project documentation and usage guide
│ └── design_document.md # Detailed design and architecture documents
├── tests/
│ ├── test_data_ingestion.R # Unit tests for data ingestion module
│ └── test_ml_models.R # Unit tests for machine learning module
├── install_packages.R # Script to install required packages
├── run_app.R # Script to run the Shiny app
└── ClimateProject.Rproj # RStudio project file
-
Install Required Packages
Run the following script to install all necessary dependencies:source("install_packages.R") -
Launch the Shiny Application
Execute the script to start the app:source("run_app.R") -
Login Credentials
Use the following credentials to access the application:- Admin:
- Username:
admin - Password:
adminpass
- Username:
- Analyst:
- Username:
analyst - Password:
analystpass
- Username:
- Admin:
This README provides a structured guide to help users set up and run the Climate Change Data Analysis platform efficiently.