ILINet Flu Surveillance Data Interactive Visualization
This interactive visualization explores ILINet flu surveillance data through four coordinated panels: a line chart showing annual patient visit trends, a choropleth map of state-level averages, a bar chart ranking top states, and a state-colored line chart for yearly patterns. Built with React and D3 v5, it uses `scaleBand`, `scaleLinear`, and `scaleOrdinal` for chart scales, `geoAlbersUsa` and `geoPath` for map rendering, and `topojson` for US state boundaries. Users can filter by year and metric via dropdown menus, with hovering highlighting selections across panels through shared state. Data comes from the CDC’s ILINet surveillance dataset.
AI-generated descriptionThis 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.