Line Chart for ILINet Flu Surveillance Data
This interactive dashboard visualizes ILINet flu surveillance data across U.S. states, combining a scatter plot, choropleth map, bar chart, and line chart. Users select a numeric attribute (e.g., ILI percentage) via a React dropdown, which updates the y-axis and point colors across years. The map uses d3.geoAlbers and topojson to render state boundaries, while the line chart employs d3.line with curveNatural to show seasonal trends. All marks render as SVG elements, with d3.scaleOrdinal for colors and d3.scaleLinear for sizes. Data originates from CDC FluView Interactive, loaded as CSV via d3.csv.
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.