Making a bar chart in D3.js

Making a Bar Chart with D3.js

This bar chart displays the populations of the top 10 most populous countries, using data from the 2018 United Nations World Population Prospects. The visualization employs D3.js v6 with SVG rendering, using `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the categorical y-axis. Population values are loaded from a CSV file and multiplied by 1000. The chart includes axes generated with `d3.axisLeft` and `d3.axisBottom`, with bars colored steelblue via CSS.

Wwindsoftheo

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. The data is loaded from a CSV file and rendered as horizontal bars on an SVG canvas. The code uses d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom from D3 v5, with bars filled in steelblue and sized proportionally to population values. The chart includes axes generated via the axis functions, and population figures are multiplied by 1,000 to reflect full counts.

Rram-iyer

Making a bar chart

This bar chart displays the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. The visualization uses D3 v6 with SVG rendering, employing `d3.csv` to load data, `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisLeft`/`axisBottom` for the axes. Bars are drawn as SVG rectangles whose widths are proportional to population values, with a steelblue fill and a left margin accommodating country labels.

Jjwu534@gmail.com

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. The chart renders with SVG, using D3 v5’s `scaleLinear` for the population axis and `scaleBand` for country categories, with `axisLeft` and `axisBottom` for labels. Data is loaded from a CSV file via `d3.csv`, and each country’s population is multiplied by 1,000 before being drawn as steel-blue rectangles.

FFANN438

Making a Bar Chart

This bar chart shows the populations of the top 10 most populous countries based on 2018 estimates from the UN’s World Population Prospects, with each bar labeled by country and scaled to population. Built with D3 v5, the visualization uses `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisLeft` and `axisBottom` for the ticks, all rendered as SVG via `select` and `append`. The data is loaded from a CSV file using `csv`, with population values multiplied by 1,000, and the chart is drawn inside an SVG container with margins and steelblue rectangles.

JJacob van Lingen

Making a Bar Chart

This bar chart displays the top 10 most populous countries in 2018, using population estimates from the United Nations World Population Prospects 2017. It renders horizontal bars with D3 v5’s `scaleBand` for the y-axis and `scaleLinear` for the x-axis, using `axisLeft` and `axisBottom` for ticks. The data is loaded from a CSV via `d3.csv`, with population values multiplied by 1000. The SVG output uses `g.selectAll('rect')` to draw each bar, styled with a steelblue fill.

IIyke2909

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The visualization uses D3.js v5 with SVG rendering, employing `scaleLinear` for the x-axis and `scaleBand` for the y-axis to position bars. The code implements axes with `axisLeft` and `axisBottom`, and loads data from a CSV file via `d3.csv`. Rectangles are appended to an SVG group using a margin convention, with populations converted from thousands to absolute numbers.

Mmargaretgoode

Making a Bar Chart

Mmargaretgoode