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Making a bar chart

✓ Published2🌍 Public
RRod Potter
Last edited Apr 23, 2019
Created on Apr 23, 2019
Forked from Making a bar chart

This bar chart displays the populations of the ten most populous countries, using horizontal bars ordered by country name. The visualization loads data from a CSV file and renders SVG rectangles scaled with d3.scaleLinear and d3.scaleBand, with axes generated via d3.axisLeft and d3.axisBottom. Population values are multiplied by 1000 during data preparation, and the chart applies a fixed margin layout within an SVG container.

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This bar chart shows population of the 10 most populous countries.

MIT Licensed

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Making a bar chart

This bar chart displays the population of the ten most populous countries, using horizontal bars to compare values across nations. The visualization renders data from a CSV file as SVG elements, with d3.scaleLinear and d3.scaleBand mapping population and country names. Axes are generated using d3.axisLeft and d3.axisBottom, with tick labels formatted using d3.format to abbreviate numbers.

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This bar chart displays the population of the ten most populous countries, using horizontal bars where length encodes the population value and the y-axis lists country names. The visualization is rendered as an SVG using D3 v7, with linear and band scales (`d3.scaleLinear`, `d3.scaleBand`) mapping the data. Axes are generated via `d3.axisLeft` and `d3.axisBottom`. Population data is loaded from a CSV file using `d3.csv`, with string values converted to numbers for scaling.

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This bar chart displays the population of the ten most populous countries, with countries on the vertical axis and population values on the horizontal axis. The visualization uses d3.csv to load data from a CSV file, d3.scaleLinear for the population scale, and d3.scaleBand for the categorical country axis. Rectangles are rendered in SVG, with axes generated via d3.axisLeft and d3.axisBottom. The chart applies a margin convention and transforms a group element to position the plot area, with bars styled using CSS fill.

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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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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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This example displays the populations of the ten most populous countries, drawn as horizontal bars scaled linearly along the x-axis and categorically along the y-axis. The chart is rendered as an SVG using the d3 library, with scales created by `scaleLinear` and `scaleBand`, and axes drawn using `axisLeft` and `axisBottom`. Data is loaded from a CSV file via d3's `csv` function, with population values multiplied by 1,000 for display.

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