Natural Disasters Visualization

Abstract

This Research aims to create a system for visualizing the number of deaths caused by different types of pandemics worldwide. In order to achieve this, a number of existing technologies will be used. In particular, the programming language Python, Tkinter library, and SQLite database will be used for the development of the system. The Tkinter library is chosen as it is a popular, easy-to-use and cross-platform GUI (Graphical User Interface) library in Python, which can be used to create user-friendly GUI applications. The database used in this application is SQLite, as it is a reliable, free, and open-source database. Python is a powerful programming language and is widely used for developing software applications. It is also well-suited for data analysis and visualization, making it an ideal choice for this project. Additionally, Tkinter provides a range of functions which will be used to create the user interface of the program. Finally, SQLite is a lightweight, open-source database which will be used to store the data related to the pandemic. This system will have a number of advantages, including the ability to quickly visualize the rate of death caused by pandemics, understand the impact of these pandemics, and provide assistance to disaster-related research. Additionally, the program will be able to run without an internet connection, meaning it can be used in remote locations where internet access is not available. Finally, the system will be platform-independent, meaning that it can be used on Windows, Linux, and MacOS. This application can be beneficial to students and researchers all over the world, as it provides an easy and intuitive way to view the data and analyze the effects of pandemics on different countries. It is also useful for disaster relief organizations, which can use the data to plan and respond more effectively to pandemics.