Making a bar chart

Making a Bar chart

This example shows a horizontal bar chart of population data for the ten most populous countries, with the bars ordered alphabetically by country name and scaled by population. It uses d3.csv to load the dataset, d3.scaleLinear for the x-axis, d3.scaleBand with padding for the y-axis, and d3.axisLeft and d3.axisBottom to render the axes. The SVG is 960 by 500 pixels, with margins applied and rectangles filled in steelblue, reflecting a static, data-driven visualization built with d3 v5.

Hhomerts95

Making a bar chart

This example shows a horizontal bar chart of population data for ten countries, with each bar’s length proportional to the population value. The chart uses D3 v5’s `scaleLinear` for the x-axis, `scaleBand` for the categorical y-axis, and `axisLeft` and `axisBottom` for tick marks. Data is loaded from a CSV file via `d3.csv`, with population values converted from thousands. Bars are rendered as SVG `rect` elements, styled with steelblue fill, within an SVG canvas.

BbeauMarko

Making a bar chart

This example shows a horizontal bar chart of the ten most populous countries, using population data from a CSV file rendered as SVG. The chart uses D3 v5 APIs including `d3.csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to map country names to y-positions and population values to bar widths. Bars appear in steel blue with a left margin of 200 pixels for labels, and the population values are multiplied by 1000 on load.

Ssara17585

Making a Bar Chart

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.

EEdwin Cini

Making a bar chart

This example shows a horizontal bar chart of the ten most populous countries, with each bar’s length representing population in thousands. It uses D3 v5’s `scaleLinear` for the x-axis, `scaleBand` for the categorical y-axis, and `axisLeft` and `axisBottom` for the tick marks and labels. The SVG-based visualization loads data from a local CSV file via `d3.csv`, converts the population values with a unary plus operator, and appends rectangles to a group element with explicit margins.

Lloisasy

Making a Bar Chart

This example shows a horizontal bar chart of the ten most populous countries, with country names on the y-axis and population on the x-axis. The bars are rendered as SVG rectangles, filled with steelblue. The code uses d3.csv to load the data, d3.scaleLinear and d3.scaleBand to map values to coordinates, and d3.axisLeft and d3.axisBottom to draw the axes. The population values are parsed and multiplied by 1,000.

Rrainyrainyguo

Making a bar chart

This example shows a horizontal bar chart of the ten most populous countries, ordered by population. It uses D3 v5’s `scaleLinear` and `scaleBand` to map population values and country names to SVG rectangles, with `axisLeft` and `axisBottom` for axes. Population data is loaded from a CSV file and formatted in billions using `format('.3s')`. The chart includes a title and axis labels, with the x-axis gridlines extending across the plot area.

Aanastasiiaplatovskikh

Making a Bar Chart

This example shows a horizontal bar chart of population figures for the ten most populous countries, using a CSV data source. It applies a linear scale for population values and a band scale for country names, with axes generated via `axisLeft` and `axisBottom`. The chart renders as SVG rectangles filled with steelblue, and the population values are converted from thousands to raw numbers before scaling.

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