Making a Bar Chart

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

Making a Bar Chart

A horizontal bar chart displays the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects 2017. The chart uses D3 v5’s `scaleLinear` and `scaleBand` to map population and country names, with `axisBottom` and `axisLeft` for customized axes. Population values are formatted with `d3.format`, and the SVG bars are rendered from a CSV file.

TTomisin Owolabi

Making a Bar Chart

This example shows the population of the top 10 most populous countries from the 2018 United Nations World Population Prospects estimate. The bar chart uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to map the data, with bars rendered as SVG `rect` elements. It customizes the chart’s margins and axis labels, while the data is loaded from a CSV file using `d3.csv`.

Bbio_sun

Making a Bar Chart

This example shows the populations of the ten most populous countries in 2018, based on United Nations data, as horizontal bars ordered by rank. It demonstrates custom D3 axes with a linear x-scale for population and a band y-scale for country names. The code uses d3.csv to load the data, d3.scaleLinear and d3.scaleBand for scaling, and d3.axisLeft and d3.axisBottom to render the axes within an SVG container.

LLukas Schießer

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 2017. It demonstrates customized D3 v5 axes and a linear scale for population values, with a band scale for country names. The code imports specific APIs including `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`, and formats tick labels using `format('.3s')`. Data is loaded from a CSV file and rendered as SVG rectangles with a steelblue fill.

Zzilvus

Making a Bar Chart

This bar chart displays the top 10 most populous countries using 2018 United Nations population estimates. The visualization orders countries along a vertical band scale with horizontal bars representing population values, using a linear scale. Customized axes include abbreviated tick labels (e.g., “B” for billions) and grid lines. The code uses d3.csv, scaleLinear, scaleBand, axisBottom, and axisLeft within D3 v5, rendering as SVG with styling from an external stylesheet.

Zztawil

Making a Bar Chart

This example shows a horizontal bar chart of the top 10 most populous countries, using 2018 population estimates from the United Nations World Population Prospects. The chart uses an SVG rendered with D3 v5, importing `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` from the `d3` module. Population values from the CSV are converted to numbers and multiplied by 1000 before being mapped to bar widths. The y-axis positions country names, while the x-axis scales population linearly, with steelblue bars and labeled axes.

YYanxiangZhu

Making a Bar Chart

This bar chart shows the population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. The chart displays horizontal bars with country names on the y-axis and population values on the x-axis, using an SVG rendering approach. The code uses `d3.csv`, `d3.scaleLinear`, `d3.scaleBand`, `d3.axisLeft`, and `d3.axisBottom` from d3 v5 to load the data, scale the values, and draw the axes and rectangles.

MMercPai