ILINet Flu Surveillance Data Interactive Visualization
This interactive visualization explores the CDC’s ILINet flu surveillance dataset, tracking influenza-like illness percentages, patient counts, and provider volumes across states and years. The interface combines a scatterplot, choropleth map, bar chart, and multi-line chart, all rendered with SVG using React and D3 v5. Users filter attributes and select states or years via dropdown menus and clickable legends. Data aggregation uses custom JavaScript reducers, while the map relies on TopoJSON from the us-atlas package and d3.geoPath for rendering geographic boundaries.
AI-generated descriptionThis visual use D3.js and React to display a scatter plot using multiple channels and add a menu to choose different fields in the dataset for visualization. The Data used here is the ILINet Flu Surveillance Dataset.
In this ILINet Flu Surveillance dataset, we have ILITOTAL to indicate the number of patients recorded by the network. The %UNWEIGHTED ILI is actually the ratio to total number of patients served. Clearly this value could be large if the base numbers are small. In the single plot, we show all data by the week of the year since 2015. Each data point represent a state on the same week, different color indicates different years. We also assigned the ILITOTAL number to the size channel, which maps the bigger size to larger number of patients. From the plot we can see that the big size mostly happens at the end of the year till at the beginning of the year, which is the flu season. Although the %ILI data indicates similar results, the size gives more sharper results. Also the points at the bottom of the weeks are all smaller, which allows us to visualize the bigger patients’ number more easily on the plot, it happens on both end of each week’s line because the data with smaller number of patient are generally ignorable.
This plot is comparable with original visualization that uses the vega-lite-api.
The original data comes from the webpage: CDC FluView Interactive.