Coronavirus Deaths Over Time by Country with Voronoi Overlay

Coronavirus Deaths Over Time by Country With Voronoi Overlay

This interactive line chart displays cumulative coronavirus deaths over time for multiple countries using a log-scaled y-axis. A Voronoi overlay, built with `d3.Delaunay` and `d3.voronoi`, captures mouse hover events on any point along a country’s trajectory, highlighting that country’s full line in black. The chart renders SVG paths via React, with axes generated by D3’s `axisBottom` and `axisLeft`. Data comes from the Johns Hopkins COVID-19 time-series dataset.

CCurran Kelleher

Coronavirus Deaths Over Time by Country With Voronoi Overlay

This graphic displays cumulative COVID-19 death counts per country on a logarithmic scale, with each country’s trajectory drawn as a line over time. A Voronoi overlay using `d3.Delaunay` enables interactive highlighting: hovering over any cell activates the corresponding country’s line, which thickens and turns black. Built with React and rendered as SVG, the chart uses `d3.scaleLog`, `d3.scaleTime`, and `d3.line` to map data from the Johns Hopkins Coronavirus Dataset.

Vvmonney

Coronavirus deaths over time by country with Voronoi Overlay

This chart displays the cumulative COVID-19 death counts over time for multiple countries, using a logarithmic Y-axis to accommodate wide value ranges. A Voronoi overlay, constructed via `d3.Delaunay` and `voronoi.renderCell`, enables intuitive mouse-hover interactions to highlight and emphasize the closest line path. The React-based visualization, rendered as SVG with D3 v7 scales and axes, loads its time-series data from a GitHub-hosted CSV file.

AAndrea Picciau

Coronavirus Deaths Over Time by Country With Voronoi Overlay

This example displays cumulative COVID-19 deaths over time for multiple countries as a multi-series line chart using a log scale. A Voronoi overlay facilitates mouse interaction by partitioning the chart into regions nearest each data point. The visualization is built with React and D3 v5, using d3-scale for axes and d3-delaunay for the Voronoi diagram. Data comes from the Johns Hopkins Coronavirus dataset, rendered as SVG paths with hover events logging interactions.

DDiavek

Country Coronavirus Deaths Over Time With Voronoi Overlay and Labels

This line chart displays cumulative COVID-19 death counts over time for various countries, using a logarithmic y-axis to accommodate wide value ranges. A Voronoi overlay, built with `d3.Delaunay`, enables interactive hover detection, highlighting the nearest data point and displaying a tooltip with the country name, death total, and date. The visualization is rendered as an SVG using React and D3 v5, with the data sourced from the John Hopkins Coronavirus Dataset.

CChris Briggs

Coronavirus Deaths by Country over Time (with Voronoi Hover)

This chart displays cumulative COVID-19 deaths over time for each country, with a log-scaled y-axis to accommodate wide variation in totals. A Voronoi overlay built with `d3.Delaunay` and `d3.voronoi` enables hovering anywhere near a data point to highlight that country’s entire line and show its latest death count, date, and name in a tooltip. Data comes from the Johns Hopkins Coronavirus dataset, rendered as SVG paths using React and D3’s `scaleTime`, `scaleLog`, and `line` generators.

Wwindwaver

Coronavirus Deaths Over Time by Country With Voronoi Overlay

This chart displays cumulative global COVID-19 deaths by country over time on a logarithmic scale. Each country’s time series is drawn as a gray line, and hovering over a Voronoi cell highlights that country’s trajectory in black. Built with React and D3 v6, it uses `scaleTime` and `scaleLog` for axes and `d3.Delaunay` for the Voronoi overlay. The data comes from the Johns Hopkins Coronavirus dataset via a CSV file.

WWolfgang

Coronavirus Deaths by Country over Time (with Voronoi Hover)

A multi-line chart tracks cumulative COVID-19 deaths over time for each country, with a logarithmic y-axis. A Voronoi overlay, built using `d3.Delaunay`, enables hovering anywhere near a line to highlight that country’s series and display a tooltip with the exact death count and date. SVG paths render the lines, with the active line emphasized thicker in black. Data comes from the Johns Hopkins Coronavirus dataset, fetched via `d3.csv`.

Vvmonney