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ILINet Flu Surveillance Data Interactive Visualization

✓ Published0🌍 Public
JJuan Ore
Last edited May 18, 2020
Created on May 18, 2020

This interactive visualization presents CDC ILINet flu surveillance data through four coordinated panels: a line chart showing weekly trends across years, a choropleth map of state-level averages, a bar chart of top states, and a multi-line chart tracking yearly patterns for selected states. Built with React, D3 v5, and SVG rendering, it leverages d3.scaleBand, d3.scaleLinear, d3.scaleOrdinal, d3.geoAlbersUsa, and d3.geoPath for geographic projection, with topojson for US state boundaries. Users interact by hovering or clicking to filter and highlight data across panels.

AI-generated description

This project use D3.js and React to display an interactive four-panel view for visualization. The Data used is the ILINet Flu Surveillance Dataset from ILINet Flu Surveillance Report. The original data is downloaded from the webpage: CDC FluView Interactive.

Four Panel View The visualization is composed of 4 panels.

  • The first line plot displays annual average patient visits percentage or other values from the dataset on weekly bases. It demonstrates the pattern for different years.
  • The second plot is a choropleths map shows the geographical distribution over the US including Alaska and Hawaii.
  • The third plot is a bar chart shows the top 10 or N states. It gives the user more quantitative information and a list of top states by name.
  • The fourth plot to show the yearly trending pattern of these states using a colorful line chart, using the same color scheme used by bar chart for different states.
MIT Licensed

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