Bar Chart w/ 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 populations of the ten most populous countries, using 2018 estimates from the United Nations World Population Prospects. The visualization pairs a linear scale for population values with a band scale for country names, rendering horizontal bars in SVG. Built with D3 v5, the code uses `d3.csv` to load the data, `scaleLinear` and `scaleBand` for scaling, and `axisLeft` and `axisBottom` to draw the axes. Population figures are multiplied by 1000 to reflect actual counts.

JJack Middlebrook

Simple Bar Chart

This SVG bar chart displays the population of the ten most populous countries, based on 2018 estimates from the United Nations' World Population Prospects. The chart uses a horizontal layout, with country names on the y-axis and population values on the x-axis, rendered as steelblue bars. The visualization is built with D3 v5, using `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, with axes labeled via `axisLeft` and `axisBottom`. Data is loaded asynchronously from a CSV file.

GGabrielle Nyirjesy

Making a bar chart in D3.js

This bar chart displays the population of the top 10 most populous countries, using 2018 estimates from the UN World Population Prospects. The chart renders as SVG with a light blue background, showing each country on the y-axis and its population on the x-axis. The code uses D3 v7 modules including `select`, `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to load the data, scale the values, and draw the axes. Bars are appended as rectangles with steelblue fills, and population values are multiplied by 1000 from the CSV source.

GGabe Nascimento

Making a Bar Chart

This bar chart visualizes the populations of the ten most populous countries, based on 2018 estimates from the United Nations World Population Prospects. It uses D3 v5 to create an SVG with linear and band scales, displaying horizontal bars labeled by country. The chart’s axes are generated with `axisLeft` and `axisBottom`, while data is loaded from a CSV file and rendered as `rect` elements filled with steelblue, with a title added as a text element.

Mmorjyooo

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 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

Bar chart!

This bar chart displays the population of the ten most populated countries, with data from the UN’s 2018 World Population Prospects. Horizontal bars are sorted by country name along the y-axis, while x-axis lengths encode population values. The visualization uses D3 v5’s `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to load data, map values, and render SVG axes. Population figures are multiplied by 1,000 during preprocessing, and steel-blue rectangles represent each country’s population.

Nnobbak