vine-web

@vine-web·3 public vizzes

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This bar chart displays the number of confirmed COVID-19 cases across several Chinese provinces, using data from a local CSV file. The visualization uses D3.js v4 to map provinces on the x-axis and case counts on the y-axis, rendering bars in SVG with steelblue fill. The chart includes axes with ticks, axis labels, and a title, all positioned within an SVG canvas. The code constructs scales with `d3.scaleBand` and `d3.scaleLinear` and uses `d3.axisBottom` and `d3.axisLeft` for tick generation, with data loaded via `d3.csv`.

Apr 5, 2020

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D3 Bar chart

This example displays a bar chart of confirmed COVID-19 cases per province, using a vertical bar for each region ordered along the x-axis. A D3 v4 script loads data from a CSV file and maps the province names and confirmed counts to a band scale and a linear scale, respectively. The bars are rendered as SVG rectangles, with axes added via `d3.axisBottom` and `d3.axisLeft`, within a fixed 600×600 pixel SVG canvas.

Apr 5, 2020

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D3 Bar chart

This bar chart visualizes the confirmed COVID-19 case counts across several Chinese provinces, using data from a local CSV file. It employs an SVG rendering approach with D3 v4's `scaleBand` for the categorical province axis and `scaleLinear` for the continuous case count axis. The chart displays horizontal bars whose heights are proportional to the number of cases, with axes labeled and styled using `d3.axisBottom` and `d3.axisLeft`. The file is a static, non-interactive visualization generated entirely through D3's imperative API.

Apr 5, 2020