Group-4 Project

100%

Group-4 Project

✓ Published0🌍 Public

Last edited Apr 7, 2023

Created on Apr 7, 2023

This interactive dashboard visualizes CDC flu-like illness data, allowing users to explore average ILI percentages across U.S. states through a choropleth map, a bar chart of top-ranked states, and a multi-year line chart. Built with React and D3, it uses `d3.scaleOrdinal` for categorical color assignments, `d3.geoAlbersUsa` with `d3.geoPath` for the map, and `d3.curveCardinal` for smoothed trends. Hovering or selecting a year updates the map and bar chart, while clicking a state highlights its data across all views.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

ILINet Flu Surveillance Data Interactive Visualization

This interactive dashboard visualizes CDC ILINet flu surveillance data across four linked panels: a multi-year line chart of weekly trends, a choropleth map of state averages, a bar chart ranking top states, and a detailed state-level line chart. Built with React and D3 v5, it uses `d3.scaleOrdinal` for categorical colors, `d3.geoAlbersUsa` and `d3.geoPath` for the map, and `d3.line` with `curveCardinal` for smoothed curves. Users filter by year and metric via dropdowns, with hover and click interactions synchronizing selections across all panels, highlighting matching states and years.

Tthanhtrant219

88% match

Loading thumbnail…

Working Title

This interactive visualization presents the CDC's ILINet flu surveillance data through four coordinated panels. A line chart shows annual trends, a choropleth map displays geographic distribution, a bar chart ranks top states, and a second line chart highlights selected states’ yearly patterns. Built with React and D3 v5, it uses `d3.scaleBand`, `d3.scaleLinear`, and `d3.scaleOrdinal` for chart scales, `d3.geoAlbersUsa` and `d3.geoPath` for the map, and `d3.curveCardinal` for smoothed lines. User interactions include hovering and clicking to filter data across panels, with opacity changes to emphasize selections.

Xxiaoma1002

87% match

Loading thumbnail…

ILINet Flu Surveillance Data Interactive Visualization

This interactive visualization presents CDC ILINet flu surveillance data in a four-panel React and D3 v5 dashboard. It displays weekly flu metrics per year through line charts, a choropleth map of state-level averages using `geoAlbersUsa` and `geoPath`, a bar chart of top states ranked by value, and a colored line chart tracking state trends. Users can filter by year, select metrics from dropdowns, and hover or click to cross-filter across panels. The SVG rendering uses `scaleLinear`, `scaleBand`, and `scaleOrdinal` for scales, with data loaded via `d3.csv` and US state boundaries from TopoJSON.

Ssrinivasjavvadi

87% match

Loading thumbnail…

ILINet Flu Surveillance Data Interactive Visualization

This interactive visualization presents a four-panel view of CDC ILINet flu surveillance data, showing annual trends by week, a choropleth map of state averages, a ranked bar chart of top states, and yearly trends for those selected states. Built with React and D3.js v5, it uses `d3.scaleLinear`, `d3.scaleBand`, `d3.scaleOrdinal`, and `d3.geoPath` with a US Atlas TopoJSON for rendering. Interactive filtering by year and state highlights selections across all views, with synchronized hover and click effects.

Pprincit

87% match

Loading thumbnail…

ILINet Flu Surveillance Data Interactive Visualization

This interactive visualization explores ILINet flu surveillance data across four linked panels: a line chart of weekly trends by year, a U.S. choropleth map, a bar chart of top states, and a multi-line chart of those states’ yearly patterns. Built with React and D3 v5, it uses `scaleOrdinal`, `scaleSequential`, `geoAlbersUsa`, and `geoPath` for mapping and rendering. Users can select years, states, and metrics such as ILI percentage, with hover interactions highlighting selections across panels. The data comes from CDC FluView Interactive via a CSV file filtered in JavaScript.

Mmab3105

87% match

Loading thumbnail…

ILINet Flu Surveillance Data Interactive Visualization

This interactive dashboard presents ILINet flu surveillance data across four coordinated views: a line chart tracking weekly trends by year, a choropleth map showing the geographical distribution across US states, a bar chart ranking the top states, and a detailed line chart for selected states. Built with React and D3.js v5, the visualization uses `d3.scaleOrdinal` for color encoding, `d3.geoPath` for map rendering with a Natural Earth projection, and `d3.curveCardinal` for smoothed trend lines. The data comes from the CDC FluView Interactive dataset, processed through TopoJSON for geographic boundaries.

SSarahKiyani

87% match

Loading thumbnail…

ILINet Flu Surveillance Data Interactive Visualization

This interactive dashboard explores ILINet flu surveillance data from the CDC, showing weekly patient visit percentages across years, states, and regions. Four coordinated panels display temporal trends, a geographical choropleth map, and bar charts ranking state averages. Built with React and D3 v5, the visualization uses d3.scaleBand, d3.scaleLinear, d3.scaleOrdinal, and d3.geoAlbersUsa for rendering, with topojson providing US state boundaries. Users can filter by year and state through linked highlighting and selection, with color legends and tooltips supporting exploration.

Hharrisonfin

86% match

Loading thumbnail…

Fork of ILINet Flu Surveillance Data Interactive Visualization

This interactive visualization explores ILINet flu surveillance data, showing weekly influenza-like illness percentages across US states. It combines a choropleth map, a horizontal bar chart ranking top states, and a multi-series line chart tracking seasonal trends by year, all with linked highlighting and selection. The React-based interface uses D3 v5 scales and geoAlbersUsa projections, rendering SVG marks with CSS transitions. Data is loaded from a CSV via d3.csv and US state boundaries from the us-atlas TopoJSON.

Pprathyusha-reddy-arch

86% match