Global Health Analysis (WIP)

Global Health Analysis is a tool to compare populations affected by certain diseases over the past 24 years. The different type of diseases include Alzheimer's, Asthma, COVID-19, Cancer, Cholera, Dengue, Diabetes, Ebola, HIV/AIDS, Hepatitis, Hypertension, Influenza, Leprosy, Malaria, Measles, Parkinson's, Polio, Rabies, Tuberculosis, Zika.

Showcase

Home Page

Graphs

Visuals

Animation.mp4

Data Set: https://www.kaggle.com/datasets/malaiarasugraj/global-health-statistics/data

Installation

Clone the repository to a directory of your choice.

git clone (link)

Use the package manager npm to install the packages used in this program. VITE MUST BE INSTALLED

npm install

You will also need some sort of gcc/mingw C++ compiler which can be found here.

Change your directory to the folder that contains the C++ code and compile the main function. Flag the compiled file with the out file being called main.

cd ./Applications/
cd ./back-end/
g++ main.cpp -o main

Usage

To start running the application on the local host, you run the command below in the project directory.

npm run dev

Then in a seperate terminal run the command

node server.js

This will allow the api to connect with the front-end and allow the main.exe file to be ran on user input.

References

• Kaggle => Data Set: https://www.kaggle.com/datasets/malaiarasugraj/global-health-statistics/data
• Chart.js => https://www.chartjs.org/docs/latest/
• Node.js => https://nodejs.org/en/download

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

MIT