Lets make a bar chart

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Lets make a bar chart

✓ Published1🌍 Public

Last edited May 11, 2021

Created on May 11, 2021

This bar chart displays population figures for the ten most populous countries, using horizontal bars sorted by country name along the y-axis. The visualization loads data from a CSV file, multiplies each population value by 1000, and renders SVG rectangles using d3.scaleLinear for the x-axis and d3.scaleBand for the categorical y-axis. It relies on d3.csv, d3.max, d3.axisLeft, and d3.axisBottom to generate the chart within an SVG canvas.

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MIT Licensed

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Lets make a bar chart

This example displays a horizontal bar chart ranking the ten most populous countries, using a bar length to encode each country’s population. The visualization loads data from a CSV file and renders it as SVG rectangles. The code uses d3.csv, d3.scaleLinear, and d3.scaleBand from D3 v5 to map population values to pixel widths and country names to vertical positions. The population figures are multiplied by 1,000 during data preprocessing before the bars are drawn.

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This bar chart displays the populations of the ten most populous countries, with horizontal bars sorted by population size. The visualization uses d3.scaleLinear for the x-axis and d3.scaleBand for the y-axis, with axes rendered via d3.axisLeft and d3.axisBottom. Data is loaded from a CSV file using d3.csv, and population values are multiplied by 1000 to reflect actual figures. The SVG rectangles are colored steelblue, with margins applied to position the chart within the 960x500 viewport.

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