Untitled

100%

✓ Published1🌍 Public

Last edited May 19, 2020

Created on May 19, 2020

This interactive visualization integrates a choropleth map of U.S. states with a scatter plot and a time-series brush to explore event data. Users can brush over a timeline to filter events, which simultaneously updates the map and scatter plot. Hovering over a point in either view highlights the corresponding data in the other. Built with D3.js v3, it uses `d3.geoPath` for map projection, `d3.svg.brush` for filtering, and `d3.svg.axis` for the time axis. Data is loaded from a local JSON file.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Untitled

Three linked D3.js views explore a dataset of US states: a scatterplot maps time of creation against score with circle size encoding comment count, a symbol map projects agricultural productivity onto an AlbersUSA geography, and a time-based brush chart displays event markers. Hovering highlights matching points across all views via dispatcher events, while brushing filters the scatterplot and map through the `brush` component’s `brushend` handler. SVG transitions animate updates, and the map uses TopoJSON for state boundaries.

Pprincit

88% match

Loading thumbnail…

Untitled

This visualization combines a scatter plot, a map of US states, and a time-based brush to explore agricultural productivity data. The scatter plot displays each state’s score against its creation time, with circle size reflecting comment count, while the map overlays proportional symbols sized by agricultural productivity. A brush timeline filters the data across all views simultaneously, and hovering over a point or map symbol highlights the corresponding element in the other charts. The code uses d3.svg.brush, d3.geo.albersUsa, d3.geo.path, and d3.svg.axis to render the interactive SVG elements.

Bbl75d

88% match

Loading thumbnail…

Untitled

This interactive map of the United States uses a D3.js geographic projection to display state boundaries, rendered as SVG paths from TopoJSON data. Clicking a state zooms in via a smooth `transition` that adjusts the group’s scale and translate attributes, while the clicked state is highlighted in orange. A click on the background resets the view, returning the map to its original scale and stroke width. The example relies on `d3.geo.albersUsa`, `d3.geo.path`, and TopoJSON’s `feature` and `mesh` methods.

CChase Hall

83% match

Loading thumbnail…

Untitled

This interactive visualization links a scatter plot, a symbol map, and a time-series brush to explore worldwide COVID-19 aggregated case data. Users can brush a time range to filter the scatter plot and map, or hover over points to highlight matching elements across all views. The visualization uses D3 v3 with `d3.svg.brush`, `d3.geo.path` with an Albers USA projection, and `d3.tip` for tooltips. Data is loaded from local JSON and CSV files containing confirmed cases, recovered cases, deaths, and increase rate over time.

SSarahKiyani

82% match

Loading thumbnail…

Untitled

An interactive choropleth of US states allows users to click a state to zoom in and highlight its boundaries, with the map rendered via d3.geo.path and TopoJSON. Wildfire data is loaded from a CSV, though the visualization primarily shows state selection and zoom animation using React state management. The albersUsa projection scales and translates to focus on selected regions, with transitions animating the zoom effect.

AAndrey Getmanov

82% match

Loading thumbnail…

Untitled

This interactive choropleth maps the author’s personal travel history, coloring U.S. states by whether they were lived in, visited, or unvisited, with a legend for reference. Cities where the author resided appear as orange circles, sized by years spent there, and hover tooltips reveal each city’s name. Built with D3 v3, it uses `d3.geo.albersUsa` and `d3.geo.path` to project and render GeoJSON state boundaries, while `d3.csv` loads the state and city data. Circle radii scale with the square root of years lived, and SVG hover effects lighten state fills.

AAnimesh Nautiyal

81% match

Loading thumbnail…

Untitled

This example shows a choropleth map of the United States, with states colored by whether the author has lived in, visited, or never visited them. Overlaid circles mark cities where the author has resided, with circle size scaled by years spent there. Hovering a circle reveals a tooltip with the city name. The visualization is built with D3 v3, using `d3.geo.albersUsa` and `d3.geo.path` to render GeoJSON state boundaries, while a linear color scale and SVG circles encode the categorical and quantitative data.

KKhushwant Rai

80% match

Loading thumbnail…

Untitled

This interactive scatter plot displays three clusters of points, colored by category, and allows users to brush a region to zoom into that area. The visualization uses D3 v4 to generate data from a normal distribution, render SVG circles, and implement brushing with `d3.brush`. Axes are drawn with `d3.axisTop` and `d3.axisRight`, and zoom animations are handled via `svg.transition()`. The code also references a `data.csv` file with population figures, though the chart itself visualizes synthetic points.

Pprincit

80% match