Making a bar chart

Making a bar chart

This example shows a horizontal bar chart ranking the ten most populous countries, with population values converted to billions and labeled accordingly. It uses D3 v6’s `csv` loader to parse the data, `scaleLinear` and `scaleBand` for positioning, and `axisLeft` with `axisBottom` for the axes. The SVG rendering includes a custom tick formatter that replaces “G” with “B,” gridlines via negative tick sizes, and styled text for the title and axis labels.

HHenryJulienDesgranges

Making a bar chart

This example shows a horizontal bar chart ranking the ten most populous countries, with population values scaled along the x-axis and country names on the y-axis. It loads data from a CSV file and renders the bars as SVG rectangles using D3 v5’s `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs. The bars are styled with a steelblue fill via CSS, and axes labels are positioned with margins for readability.

SSamuel Elbaz

Making a bar chart

This example shows a horizontal bar chart ranking the populations of the ten most populous countries, using data from a CSV file where values are multiplied by 1000. The visualization uses D3 v5’s `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs to map population to bar widths and country names to y-axis positions, rendering the bars as SVG rectangles. Axes are appended via `call`, and the chart is drawn within a fixed 960x500 SVG canvas with margins.

AAlex Reitz

Making a Bar Chart

This example shows a horizontal bar chart ranking the populations of the ten most populous countries. It uses D3.js v5's `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to map data from a CSV file to SVG rectangles. The chart displays population values on the x-axis and country names on the y-axis, with a green fill applied to all bars via CSS.

Eemntd

Making a Bar Chart

This example shows a horizontal bar chart ranking the ten most populous countries, with bars colored by country and labeled along a bottom axis. The chart uses D3.js scales (`scaleLinear`, `scaleBand`, `scaleOrdinal`) to map population values and country names, while `d3.axisLeft` and `d3.axisBottom` render the axes. Population data is loaded from a CSV file via `d3.csv`, multiplied by 1000 in the code, and rendered as SVG rectangles. The visualization highlights D3’s core data-binding and SVG generation workflow.

AAaron Guillen

Making a Bar Chart

This example shows a horizontal bar chart ranking the populations of the ten most populous countries, with country names on the y-axis and population values on the x-axis. It uses D3 v5’s `scaleLinear` and `scaleBand` to map data to pixel positions, `axisLeft` and `axisBottom` for ticks, and SVG `rect` elements filled with steelblue. The data is loaded from a local CSV file via `csv`, with population values multiplied by 1000 to reflect actual counts.

DDaniel Prevoznik

Making a Bar Chart

This example shows a horizontal bar chart ranking the ten most populous countries, with each bar’s length proportional to population and countries ordered along the y-axis. The visualization uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to position bars and axes, while `csv()` loads the data and `selectAll` appends SVG rectangles. Population values are multiplied by 1000, and the chart is rendered in an SVG canvas with steelblue bars.

Mmatthewfresh

Making a Bar Chart

This example demonstrates a horizontal bar chart of the ten most populous countries, using population data loaded from a CSV file by the D3 `csv` function. The visualization maps population counts to bar widths with `d3.scaleLinear` and countries to vertical positions with `d3.scaleBand`, rendered as SVG rectangles. Axes are added using `d3.axisLeft` and `d3.axisBottom`, with the initial SVG canvas defined in the HTML and styled via CSS.

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