Skip to main content
SimilarExport ZIP
100%

Pulling Live Coronavirus Data

✓ Published1🌍 Public
SSerind Joshua McCue
Last edited Aug 24, 2022
Created on Aug 24, 2022

This example displays cumulative COVID-19 deaths over time, using a logarithmic y-axis to accommodate exponential growth. The React app fetches live data from the Johns Hopkins CSSE GitHub repository via `d3.csv`, then transforms it into date/death pairs. A `d3.line` generator with `scaleTime` and `scaleLog` renders the SVG path, while `axisBottom` and `axisLeft` produce gridlines with formatted tick labels. Unused `XMarkerLine` and `YMarkerLine` components show structural possibilities for annotations, though they are not invoked.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

Pulling Live Coronavirus Data

This example displays a line chart of global cumulative coronavirus deaths over time, using a logarithmic y-axis to accommodate the wide range of values. It loads live data from the Johns Hopkins COVID-19 dataset via `d3.csv`, parsing dates with `d3.timeParse`. The React components render SVG elements, with `d3.scaleTime` for the x-axis and `d3.scaleLog` for the y-axis. Axes are drawn using `d3.axisBottom` and `d3.axisLeft`, while the line path is generated with `d3.line`. Gridlines and tick labels are styled via CSS in the embedded `<style>` block.

CCurran Kelleher
93% match
Loading thumbnail…

Pulling Live Coronavirus Data

This example shows the global cumulative death toll from COVID-19 over time as a single line chart with a logarithmic y-axis. It loads live data from the Johns Hopkins Coronavirus dataset via `d3.csv` and computes daily totals by summing country values. The chart is built with React and D3 v5, using `scaleTime` and `scaleLog` for axes, while `line` generates the path. SVG rendering with axis labels and gridlines is used, and the chart updates automatically when new data is fetched.

Wwindwaver
91% match
Loading thumbnail…

Coronavirus Log Y Axis

This example visualizes the global cumulative COVID-19 death toll over time, using a logarithmic y-axis to reveal the exponential growth pattern of the pandemic. A line chart shows daily totals from the Johns Hopkins CSSE time-series dataset, with gray gridlines and a “Now” marker at the most recent date. The React app uses D3 v7’s `scaleLog`, `scaleTime`, and `line` generators to build the SVG, while custom `XAxis` and `YAxis` components leverage `axisBottom`, `axisLeft`, and `tickSize` to render gridlines. Marker lines highlight the current value and date.

BBen Brophy
88% match
Loading thumbnail…

Global Live Coronavirus Deaths Over Time

A line chart visualizes global cumulative COVID-19 deaths over time using a logarithmic y-axis. The chart loads daily global death totals from a Johns Hopkins University CSV dataset, parses the data with `d3.csv` and `timeParse`, and renders an SVG line using `d3.line`, `scaleTime`, and `scaleLog`. Red strokes mark the trend, with gridlines and labeled axes generated by `axisBottom` and `axisLeft`. The React component updates as new data becomes available.

GGonzalo Montañés
87% match
Loading thumbnail…

Fork of Coronavirus Linear Y Axis

This chart displays the cumulative total of COVID-19 deaths over time using a linear y-axis scale. The line path is generated with d3.line, while d3.scaleTime and d3.scaleLinear handle the x and y domains respectively. Axes are rendered via d3.axisBottom and d3.axisLeft, with tick marks spanning the full chart width and height. Data comes from the Johns Hopkins Coronavirus time-series CSV, aggregated by summing daily death counts across all regions. React components manage the SVG rendering, and optional marker lines reference specific values like 10,000 deaths.

YYedrup
87% match
Loading thumbnail…

Fork of Coronavirus Linear Y Axis

This chart displays the cumulative total of COVID-19 deaths over time using a linear y-axis, emphasizing the rapid growth of the pandemic’s death toll. The React-based visualization uses d3.scaleTime and d3.scaleLinear to map dates and death totals, with d3.line generating the path. Axis ticks are rendered with d3.axisBottom and d3.axisLeft, and optional marker lines annotate specific values. Data comes from the Johns Hopkins Coronavirus Dataset, loaded via d3.csv and parsed with d3.timeParse.

Ssatra546
87% match
Loading thumbnail…

Coronavirus Visualisation Labels

A line chart displays global cumulative COVID-19 deaths over time from the Johns Hopkins dataset, using a logarithmic y-axis and a red marker line at 1 million deaths. The React app with D3 v5 uses `scaleTime` and `scaleLog` for axes, `line` to generate the SVG path, and `axisBottom`/`axisLeft` for labeled ticks. Axis labels and the marker lines annotate the chart, while CSS styles the gridlines and typography.

CChris Briggs
86% match
Loading thumbnail…

Fork of Coronavirus Linear Y Axis

This line chart displays the cumulative total of COVID-19 deaths over time using a linear y-axis scale. It fetches data from the Johns Hopkins Coronavirus time-series dataset via `d3.csv` and aggregates daily death totals. The chart is rendered with React (version 16.9) and SVG, using `d3.scaleTime`, `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft`. Gridlines are drawn by setting `tickSize` on the axes, and the chart fills the entire browser window, updating responsively.

CCheng Tang
86% match