Enhanced Graphical Representation of Data in Web Application (Case Study: Covid-19 in the UK)

This paper describes the analysis, design, and implementation of responsive data representation in the web application that can render data asynchronously to users by making an Application Programming Interface (API) request from a webserver. At the same time, provides high-quality downloadable Scalable Vector Graphics (SVG) images for journals, magazines, and other printed media. For this issue, large-scale data that uses open-source Covid-19 data was used to improve the Covid-19 data visualization and the other improvements that can be done for proper representation of such vital data to the general public. During the development process, qualitative research into data representation with responsive charts and/or Scalable Vector Graphics images file has been conducted in contrast of each other to answer questions like what tools and technologies are often used, what are the alternative tools and technology, when, where, and why developers make use of certain approach to data representation.

@article{Adomah2021,
  title     = {Enhanced Graphical Representation of Data in Web Application (Case Study: Covid-19 in the UK)},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {12},
  number    = {9},
  year      = {2021},
  publisher = {The Science and Information Organization},
  author    = {Rockson Adomah and Tariq Alwada’n and Mohammed Al Masarweh},
  doi       = {10.14569/IJACSA.2021.0120968},
  url       = {https://doi.org/10.14569/IJACSA.2021.0120968}
}