VizHub NBA

ILINet Flu Surveillance Data Interactive Visualization

This interactive dashboard visualizes ILINet flu surveillance data across multiple coordinated views: a line chart of weekly ILI percentages by year, a choropleth map of state-level averages, a bar chart of top states, and a dot plot. Users select metrics and attributes via dropdowns, with hover and click interactions linking highlights across views. Built with React and D3 v5, it uses `scaleOrdinal`, `scaleSequential` with `interpolateYlOrRd`, `geoAlbersUsa` with `geoPath`, and `scaleBand` for the bar chart. Data comes from CDC FluView, processed with `csv` from D3.

ILINet Flu Surveillance Data Interactive Visualization

This interactive visualization explores ILINet flu surveillance data, showing metrics like ILI percentage and total patients across US states, weeks, and years. It combines multiple views: a US map displaying state-level averages, a bar chart of the top 10 states, scatter plots, and a line chart showing trends by year, all with dropdown controls to switch data fields. The React-based app uses D3 v5 modules including d3.csv for data loading, d3.scaleOrdinal for coloring, d3.geoAlbers and d3.geoPath for map projection, and d3.line with curveCardinal for the time-series curves. The data originates from CDC FluView Interactive.

ILINet Flu Surveillance Data Interactive Visualization

This interactive visualization displays ILINet flu surveillance data, showing aggregated weekly influenza-like illness percentages across US states from 2015 onward. The interface combines four coordinated views: a line chart colored by year, a scatter plot encoding patient counts through circle size, a horizontal bar chart of state averages, and a choropleth map. Users select which data attribute to visualize through a dropdown menu. Built with React and D3 v5, the visualization uses d3.scaleOrdinal for year-based coloring, d3.scaleLinear for axes, d3.line with curveNatural for smoothed trajectories, and d3.geoAlbers with topojson for the US map rendering.

ILINet Flu Surveillance Data Interactive Visualization

This interactive visualization explores ILINet flu surveillance data, showing patterns in influenza-like illness percentages, patient counts, and provider metrics. It presents a multi-view dashboard including a scatter plot of states by week with size and color encoding, a choropleth map using d3.geoPath and topojson, a horizontal bar chart ranking states, and a line chart with brushed curves. Users can select different metrics and fields via dropdowns, and interact with marks through hover and click to highlight selections. The visualization uses d3.scaleLinear, d3.scaleOrdinal, and d3.geoAlbersUsa, rendering with React and SVG.

HHeyler-Johel

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.

汇总

This interactive dashboard presents U.S. influenza surveillance data from the CDC’s ILINet dataset, combining four linked panels: a yearly line chart, a choropleth map of state averages, a ranked bar chart of top states, and a state-conditional line chart. Users can select years and states to highlight across views, with hover interactions revealing tooltips. The visualization is built with React and D3 v5, using `d3.scaleBand`, `d3.scaleLinear`, `d3.scaleOrdinal`, `d3.scaleSequential`, `geoAlbersUsa` for map projection, and `d3.csv` for data loading, rendering all marks as SVG.

Ppandeykriti

ILINet Flu Surveillance Data Interactive Visualization

This interactive visualization uses the ILINet Flu Surveillance dataset to explore US flu activity through four coordinated views: a line chart of weekly ILI percentages by year, a scatter plot mapping ILI percentage against week, a bar chart of state-level trends, and a US map colored by average ILI values. Built with D3 v5 and React, it employs SVG rendering with interactive selection, hover highlighting, and opacity fading. The tool uses `geoAlbersUsa` and `geoPath` for the map, `scaleLinear`, `scaleBand`, and `scaleOrdinal` for scales, supporting user control via dropdowns to select attributes and the number of top states displayed.

ILINet Flu Surveillance Data Interactive Visualization

This interactive visualization explores CDC ILINet flu surveillance data through four coordinated panels: a line chart showing weekly patient visit patterns across years, a choropleth map of state-level influenza activity, a bar chart ranking the top states, and a multi-line chart tracking those top states over time. Built with React and D3 v5, the visualization uses d3.scaleOrdinal for categorical coloring, d3.geoAlbersUsa and d3.geoPath for the map projection, and d3.line with curveCardinal for smoothed trend lines. Users can filter by year and metric through dropdown menus, and hover or click to highlight selections across panels. The data is loaded as CSV and aggregated using custom React hooks with d3.csv.

FFadziMandondo