Making a Bar Chart

Making a Bar Chart

A horizontal bar chart displays the population of the ten most populous countries, using data from a CSV file. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear` for the x-axis population values and `scaleBand` for the categorical y-axis countries. Axes are generated with `axisLeft` and `axisBottom`, while bars are appended as SVG `rect` elements with a steelblue fill and black stroke.

Pparkypoo

Making a Bar Chart

The chart displays the population of the ten most populous countries as horizontal bars, sorted by value. Built with D3 v5, it loads data from a CSV file and renders the visualization as SVG. The code uses `d3.scaleLinear` and `d3.scaleBand` for axes, `d3.axisLeft` and `d3.axisBottom` for ticks, and `d3.format` to abbreviate population numbers with a custom replacement of 'G' with 'B' for billions.

Wwhyamn

Making a Bar Chart

This example shows a horizontal bar chart of the populations of the ten most populous countries, ordered from largest to smallest. It uses D3 v5 to load data from a CSV file and render the visualization as SVG. The code explicitly calls `scaleLinear` and `scaleBand` to create the x and y scales, `axisLeft` and `axisBottom` to generate the axes, and uses `select` to target the SVG element. The bars are colored steel blue via CSS, and the population values are transformed by multiplying by 1000 before rendering.

Mmp7090

Making a Bar Chart

This bar chart displays the populations of the ten most populous countries, with horizontal bars ordered by country name and sized proportionally to each nation’s population in thousands. The visualization uses D3 v5’s `csv` to load data, `scaleLinear` for the x-axis, `scaleBand` for categorical y-axis positioning, and `axisLeft`/`axisBottom` to render ticks. Bars are drawn as SVG rectangles filled with steel blue, while margins frame the chart on a 960×500 canvas.

Jjhofang

Making a Bar Chart

A horizontal bar chart displays the populations of the ten most populous countries, with bars rendered as steelblue rectangles. The chart uses D3 v5's `scaleLinear` for the x-axis and `scaleBand` for the categorical y-axis, with `axisLeft` and `axisBottom` generating the tick labels. Population values from the CSV are multiplied by 1,000 during data loading. The SVG output is positioned using margin translations, and bars are appended to a group element with heights determined by the bandwidth method.

BblakeCS

Making a Bar Chart

This bar chart displays the populations of ten countries, using horizontal bars sorted by country name. The visualization is built with D3.js v5, rendering to an SVG canvas. The code imports `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to load the data, map population values to bar widths, and draw the axes. The chart demonstrates fundamental DOM manipulation by appending rectangles to the SVG group, with each bar's height set by the band scale's bandwidth.

JJMason88

Making a Bar Chart

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.

NNicoA

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