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Rshiny-data: Disease Spread Visualization

Data visualizing using R shiny app

Overview

This code supports visualizing disease spreading data on a worldwide map, following a specific input file structure.

Usage Example

Input File

The input file format can be seen from the provided example.

Screen Shot 2025-03-09 at 10 19 05 AM

Output Map

The map supports:

  • Zoom in
  • Zoom out
  • Free drag Screen Shot 2025-03-09 at 10 20 11 AM Screen Shot 2025-03-09 at 10 19 48 AM

Complete GUI Features

Screen Shot 2025-03-09 at 10 31 08 AM

Map Types

The visualization supports four different map types:

  • OpenStreetMap
  • OpenTopoMap
  • Nsri.NatGeoWorldMap
  • CartoDB.Positron Screen Shot 2025-03-09 at 10 20 24 AM

Jittering Factor

A jittering factor is added to differentiate two data points when clustering occurs. Note that a large jittering factor could result in data location inaccuracy.

Screen Shot 2025-03-09 at 10 19 22 AM

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Data visualizing using R shiny app

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