Making a Bar Chart

Making a Bar Chart

This example shows a bar chart of the top 10 most populous countries, based on 2019 estimates from World Population Prospects. The chart uses a vertical layout with country names on the y-axis and population values on the x-axis. The code builds the visualization with D3 v5, using `d3.scaleLinear`, `d3.scaleBand`, `d3.axisLeft`, and `d3.axisBottom` to render an SVG. Population data is loaded as CSV and scaled to thousands; bars are drawn as `rect` elements with a steelblue fill.

97% match

Making a Bar Chart

This bar chart displays the population estimates for the top 10 most populous countries in 2019, sourced from the World Population Prospects. The visualization uses a linear scale for the x-axis and a band scale for the y-axis, with bars rendered as SVG rectangles. The code leverages D3 v5 modules like `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the chart, including custom tick formatting that converts numbers to billions. Population values are parsed from a CSV file and multiplied by 1000 to reflect actual figures.

96% match

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries using 2019 estimates from the World Population Prospects. The visualization uses D3 v5 with d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom to render horizontal bars in SVG. Population values are multiplied by 1000 to reflect actual counts. The chart encodes country names on the y-axis and population on the x-axis, with steelblue rectangles representing each nation’s population.

Making a Bar Chart

Making a Bar Chart

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, based on 2018 estimates from World Population Prospects 2017. The visualization uses d3.scaleLinear and d3.scaleBand to map population values and country names to positions, with axes rendered via d3.axisLeft and d3.axisBottom. Population values are loaded from a CSV file using d3.csv and formatted with d3.format. The chart is drawn as SVG rectangles inside a fixed-width container, with a custom title and axis label included.

Oovalli

Making a Bar Chart

A horizontal bar chart displays the 2019 population estimates for the top 10 most populous countries, sourced from World Population Prospects. The visualization uses d3.csv to load data, d3.scaleLinear and d3.scaleBand for scales, and d3.axisLeft and d3.axisBottom to render axes with formatted tick labels. Bars are drawn as SVG rectangles with heights determined by the band scale’s bandwidth.

Making a Bar Chart

This example displays a bar chart of the top 10 most populous countries, using 2018 population estimates from the United Nations World Population Prospects. The population values, stored in a CSV file, are multiplied by 1,000 and mapped to bar widths using `d3.scaleLinear`, while country names are positioned on a `d3.scaleBand` axis. It uses `d3.axisLeft` and `d3.axisBottom` to render axes, with tick labels formatted via `d3.format`. The chart is drawn as SVG elements, with a title and axis label added as text.

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