Skip to main content
SimilarExport ZIP
100%

Coronavirus Log Y Axis

✓ Published1🌍 Public
WWolfgang
Last edited Apr 11, 2021
Created on Apr 11, 2021

This chart visualizes the global cumulative death toll from the Johns Hopkins Coronavirus Dataset. Using a logarithmic y-axis, the line chart reveals the exponential growth pattern of COVID-19 deaths over time, making early and late outbreak phases comparable. The visualization is built with React and D3 (v6), using `scaleTime` and `scaleLog` for the axes and `line` for the data path. It includes horizontal and vertical marker lines via `XMarkerLine` and `YMarkerLine`, with axes rendered through `axisBottom` and `axisLeft`.

AI-generated description

This chart uses React & D3 to visualize the Johns Hopkins Coronavirus Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

Coronavirus Log Y Axis

This chart visualizes the global cumulative death toll from the Coronavirus pandemic over time, using a logarithmic Y-axis to reveal the exponential growth pattern across the spring of 2020. The line graph, rendered using React and SVG, plots daily totals sourced from the Johns Hopkins CSSE dataset via a CSV fetch. It employs D3’s `scaleLog` for the vertical axis, `scaleTime` for the horizontal date axis, and custom `XAxis` and `YAxis` components that draw grid lines. The chart emphasizes the dramatic rate of increase, with a marker line annotating the 10,000-death threshold.

CCurran Kelleher
96% match
Loading thumbnail…

Coronavirus Log Y Axis

This example visualizes the global cumulative death toll from the Johns Hopkins Coronavirus Dataset using a line chart with a logarithmic y-axis. The chart displays total deaths over time, with marker lines highlighting the current date and the 4,000,000 death threshold. Built with React and D3 v7, it uses `scaleTime` and `scaleLog` to map dates and death counts, while the `line` generator creates the path and `axisBottom` and `axisLeft` render axes. Data is loaded via `csv` and parsed with `timeParse`.

KKtuzinowski
96% 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
95% match
Loading thumbnail…

Coronavirus Log Y Axis

This chart tracks the cumulative global death toll from COVID-19 over time, using a logarithmic y-axis to compress the wide range of values. The line plot rises steeply, emphasizing the exponential early growth as cases spread worldwide. Built with React and D3 v7, it uses `scaleTime`, `scaleLog`, and a `line` generator to render the path, with `axisBottom` and `axisLeft` for gridlines. Data comes from the CSSE Johns Hopkins GitHub repository, aggregated from daily global CSV reports.

Vvmonney
95% match
Loading thumbnail…

Coronavirus Log Y Axis

The chart depicts the global cumulative death toll from COVID-19 over time using a logarithmic y-axis, which compresses the exponential growth into a more readable curve. The line graph, rendered as an SVG via React, pulls data from the Johns Hopkins Coronavirus time-series dataset. It uses D3 v5’s `scaleLog` for the y-axis, `scaleTime` for the x-axis, and `line()` to generate the path. Axis ticks are styled with gridlines, and a horizontal marker labels the 10,000-death threshold.

Wwindwaver
95% match
Loading thumbnail…

Coronavirus Log Y Axis

A log-scaled line chart tracks the cumulative global death toll from the Johns Hopkins COVID-19 dataset over time, highlighting exponential growth in cases across months. The visualization pairs D3 scaleTime and scaleLog to map dates and totals, with line generator creating the trend path. React components manage the X and Y axes via reusable axisBottom and axisLeft hooks, while SVG renders gridlines and plot marks.

LLaura Johnson
94% match
Loading thumbnail…

Coronavirus Log Y Axis

This chart displays the cumulative global COVID-19 death toll over time, using a logarithmic scale on the y-axis to reveal the exponential growth pattern. The React component fetches time-series data from the Johns Hopkins CSSE GitHub repository and renders an SVG line chart. The code uses D3 v6 scales (`scaleTime`, `scaleLog`) and axes (`axisBottom`, `axisLeft`), with the line generated via `line()`. Gridlines extend across the plot, and the chart fills the browser window, updating as new data arrives.

PPeter Krevenets
94% match
Loading thumbnail…

Coronavirus Log Y Axis

A line chart tracks cumulative global COVID-19 deaths over time, using a logarithmic y-axis to reveal exponential growth patterns that a linear scale would compress. The visualization loads time-series data from the CSSE at Johns Hopkins and renders an SVG path via React and d3.v7, with `scaleTime` and `scaleLog` mapping dates and death totals. Dashed marker lines highlight the current date and the one-million-death threshold, while grid lines generated by `axisBottom` and `axisLeft` aid comparison across the pandemic's trajectory.

KKevin McMorrow
94% match