Let's Make a Bar Chart

Making a bar chart

This example shows a horizontal bar chart of population data for the ten most populous countries, drawn as SVG rectangles scaled by population and ordered by country name. It uses D3 v7’s `scaleLinear` for the x-axis, `scaleBand` for the y-axis categories, and `axisLeft` and `axisBottom` to render ticks. The chart loads data from `data.csv` via `d3.csv`, converts population values to numbers, and appends the rectangles with a fixed steelblue fill.

Sstephanie0215

Making a Bar Chart

This example shows a horizontal bar chart of population figures for the ten most populous countries, with each bar’s length proportional to its population value. The visualization loads data from a CSV file, converts the population strings to numbers, and renders the bars as SVG rectangles using D3 v5. It employs `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the categorical y-axis, and `d3.axisLeft` and `d3.axisBottom` to generate the axes.

Ccindy203cc

Making a bar chart

This example visualizes the ten most populous countries as horizontal bars, drawn with SVG rectangles. It maps population values to bar lengths using a linear scale and country names to vertical positions with a band scale. The visualization is built with D3 v5, using `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to load data and render axes. The data comes from a CSV file and is processed by multiplying population figures by 1,000 before scaling.

Lleandermaerkisch

Making a bar chart

This example shows a horizontal bar chart of the ten most populous countries, with bar widths proportional to each nation’s population (displayed in thousands). The visualization is built with D3 v5, using `scaleLinear` for the x-axis and `scaleBand` for the y-axis, rendering rectangles as SVG elements. Data is loaded from a CSV file via `d3.csv`, with population values parsed and multiplied by 1000 before the chart is drawn.

Uuskh580e

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.

CCodeHandLuke

Making a Bar Chart

CCodeHandLuke

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.

11995ana

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