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making a bar chart

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Nnexus1058
Last edited Dec 13, 2020
Created on Dec 12, 2020
Forked from customizing axes

This example shows horizontal bars representing the populations of the ten most populous countries using a bar chart. The D3 v6 code loads the data from a CSV file, scales the values, and renders the bars as SVG rectangles. It uses `scaleLinear` for the width axis and `scaleBand` for the categorical country names, with margins set via an SVG transform.

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Making a Bar Chart

This example shows a horizontal bar chart of the ten most populous countries, with bar lengths proportional to each country's population. It uses D3 version 5 APIs including `select`, `csv`, `scaleLinear`, `max`, and `scaleBand` to load data from a CSV file, compute scales, and render SVG rectangles. The chart applies a linear scale to population values and a band scale to country names, with bars drawn inside an SVG element with fixed dimensions and a margin offset.

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This example shows the populations of the ten most populous countries using horizontal bars, with each bar’s length proportional to its population value. The chart reads from a CSV file listing country names and populations, sourced from the World Population Prospects 2017. It uses D3 v6’s `scaleLinear` and `scaleBand` to map data to pixel coordinates, and `axisLeft` and `axisBottom` to render the axes. Bars are drawn as SVG `rect` elements, styled with `fill: steelblue`.

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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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This visualization displays population data for the ten most populous countries using a horizontal bar chart encoded as SVG rectangles. The chart uses D3 v6’s `csv` loader to parse data, with population values scaled linearly via `scaleLinear` and country names mapped to bands with `scaleBand`. Axes are generated using `axisLeft`, while margins define the plotting area. The bars’ widths and vertical positions are computed from the scaled domains, and the data is multiplied by 1000 to represent actual population figures.

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