Smoothed Daily Coronavirus Deaths Line Chart

Smoothed Daily Coronavirus Deaths Line Chart

This chart shows smoothed daily coronavirus death counts over time for the top 50 countries by cumulative deaths, using a logarithmic y-axis to accommodate wide variations in scale. Hovering over any point highlights the entire country’s trajectory and displays a tooltip with the exact date and death total. Built with React and D3 v5, the visualization renders as an SVG and uses a Voronoi overlay for efficient hover detection. Data comes from the Johns Hopkins Coronavirus Dataset, with the daily counts smoothed via repeated averaging.

Smoothed Daily Coronavirus Deaths Line Chart

This chart displays smoothed daily coronavirus deaths over time for the top 50 countries by cumulative deaths, using a log-scaled y-axis and a time-scaled x-axis. Each country is represented by a gray line, and hovering over the visualization highlights the nearest country’s line and shows a tooltip with its name, date, and total death count. The example uses React with D3 v5 APIs such as `scaleLog`, `scaleTime`, `line`, and `axisBottom`, plus a Voronoi overlay (`d3.Delaunay`) for hit-testing. Daily death data is smoothed via repeated averaging in a custom `blur` function. Data comes from the Johns Hopkins Coronavirus Dataset.

Smoothed Daily Coronavirus Deaths Line Chart

This chart displays smoothed daily COVID-19 death counts for the top 50 countries by cumulative deaths, with a logarithmic y-axis to accommodate wide variation. Hovering over any data point uses a d3.Delaunay Voronoi overlay to highlight the corresponding country’s full line and show a tooltip with the date and total deaths. The smoothing is applied via a repeated averaging blur function to the raw Johns Hopkins dataset, and the visualization is rendered as an SVG using React and D3 scales, axes, and line generators.

Smoothed Daily Coronavirus Deaths Line Chart

A smoothed multi-line chart compares daily COVID-19 deaths over time for the top 50 countries by cumulative deaths. The y-axis uses a logarithmic scale to accommodate wide value ranges, and the lines are smoothed via a repeated averaging technique. Built with React and D3 v5, the visualization uses a Voronoi overlay for hover detection to highlight a selected country's line and display a tooltip with details. Data is sourced from the Johns Hopkins Coronavirus dataset.

Smoothed Daily Coronavirus Deaths Line Chart

A line chart displays smoothed daily COVID-19 death counts for the top 50 countries by cumulative deaths, using a logarithmic y-scale and time-based x-axis. Each gray line represents a country; hovering via a d3.Delaunay Voronoi overlay highlights the corresponding line and shows a tooltip with the country’s total deaths and date. Data comes from the Johns Hopkins Coronavirus dataset, processed with d3.csv and a moving-average blur function, and rendered as SVG paths using d3.line, d3.scaleTime, and d3.scaleLog within React.

Qquratulain01

Smoothed Daily Coronavirus Deaths Line Chart

Smoothed lines trace daily coronavirus deaths over time for the top 50 countries by cumulative deaths, with a logarithmic y-axis. Hovering activates a Voronoi overlay, built with `d3.Delaunay`, to highlight the nearest data point’s country line and display a tooltip with the exact date and death count. Lines are smoothed via repeated averaging in the `blur` helper, and the visualization renders as SVG using React, D3 v5 scales (`scaleTime`, `scaleLog`), and axes from `d3.axisBottom` and `d3.axisLeft`. Data comes from the Johns Hopkins CSSE GitHub repository.

JJeet Jain

96% match

Smoothed Daily Coronavirus Deaths by Country

This interactive line chart displays smoothed daily COVID-19 death counts for each country, plotted over time on a logarithmic scale. Using the D3.js library with a React frontend, it renders an SVG visualization with a Voronoi overlay for hover detection. The chart applies 20 iterations of a blurring algorithm to the daily death data, and highlights the selected country's line with a tooltip showing total deaths. Data comes from the Johns Hopkins Coronavirus dataset.

CCurran Kelleher

95% match