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ILINet Flu Surveillance Data Interactive Visualization

✓ Published2🌍 Public
FFadziMandondo
Last edited May 25, 2020
Created on May 25, 2020

This interactive visualization explores ILINet flu surveillance data across four linked panels. It shows annual trends in patient visit percentages as colored lines, a choropleth map of state-level averages using `d3.geoPath` and sequential color scales, a bar chart ranking top states, and a state-specific line chart. Built with React and D3 v5, it uses `d3.scaleBand`, `d3.scaleLinear`, and `d3.scaleOrdinal` for marks and scales. Hovering and clicking selections highlight corresponding data across all views, with data sourced from CDC's FluView interactive.

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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