Let´s make a bar chart!

Let's Make a Bar Chart

This example demonstrates a horizontal bar chart of population data for the ten most populous countries, using SVG rectangles scaled proportionally to each country’s population. The visualization imports `csv`, `scaleLinear`, and `scaleBand` from d3 to parse the data and map values to width and band positions. The code loads data.csv, converts population numbers by multiplying by 1000, and appends rectangles to the SVG canvas with widths driven by the linear scale.

BBlakeMcMurray

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

Let's make a bar chart!

A horizontal bar chart displays population figures for ten countries, using bar length to represent population in thousands. Built with D3 v5, the visualization loads CSV data via `d3.csv` and applies `d3.scaleLinear` for the x-axis and `d3.scaleBand` for categorical y-axis spacing. SVG rectangles are appended and positioned through D3 data joins, with margins calculated from the SVG's width and height attributes. The code demonstrates fundamental scale and selection patterns for basic bar chart construction.

CChromosin13

Let's make a bar chart

This example displays a horizontal bar chart of population data for ten countries, using bar length to represent each value. The chart renders as SVG and is built with D3.js v5, employing `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to load data and generate axes. Rectangles are appended via data joins, with a pink fill defined in CSS. The population values are read from a CSV file and scaled by one thousand before rendering.

Yyukozome

making a bar chart

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.

Nnexus1058

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 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 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