Making a Bar Chart

100%

Making a Bar Chart

✓ Published0🌍 Public

Last edited Nov 27, 2020

Created on Nov 27, 2020

This bar chart displays the population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. It demonstrates D3 axis customization, including formatted tick labels that convert large numbers to abbreviations and styled gridlines. The code uses d3.csv to load data, scaleLinear and scaleBand for scales, and axisLeft and axisBottom for axes. Bars are rendered as SVG rectangles, with a title and axis label added via text elements.

AI-generated description

This bar chart shows population of the top 10 most populous countries. The data comes from the year 2018 estimate in United Nations: World Population Prospects 2017. It also demonstrates customization of D3 axes.

MIT Licensed

Similar vizzes

Loading thumbnail…

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 emphasizes customizable axes, with horizontal bars ordered by country name and a population axis formatted in billions. Built with D3 v5, the code uses `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the chart, while loading data from a CSV file. The SVG rendering includes a custom tick format that converts large numbers to abbreviated labels.

AAWkmonroe

96% match

Loading thumbnail…

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. It demonstrates how to customize D3 axes, including a custom tick format that abbreviates large numbers with the `format('.3s')` method and replaces 'G' with 'B'. The visualization uses `d3.csv` to load data, `scaleLinear` and `scaleBand` for scaling, and `axisLeft` and `axisBottom` to render the axes. The chart is rendered as SVG with steelblue bars and labeled axes.

MMargaret Yao

96% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries using 2018 data from the United Nations World Population Prospects. The chart uses D3 v5 with SVG rendering, employing `scaleLinear` and `scaleBand` for positioning, and customizes the axes with `axisLeft` and `axisBottom`. Population values are loaded from a CSV file and formatted with a custom tick format that abbreviates large numbers. The visualization also includes axis labels and a title, with gridlines created through the x-axis tick size.

PPhilippe Rigovanov

96% match

Loading thumbnail…

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 code demonstrates customizing D3 axes using `d3.axisBottom` and `d3.axisLeft`, with tick formatting via `d3.format` to abbreviate large numbers. It loads data from a CSV file with `d3.csv`, scales bars with `d3.scaleLinear` and `d3.scaleBand`, and renders the chart as SVG. The chart includes a title, axis labels, and grid lines, all styled with steelblue bars.

YYIN Wanxuan

96% match

Loading thumbnail…

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

96% match

Loading thumbnail…

Making a Bar Chart

This bar chart visualizes the top 10 most populous countries using 2018 population estimates from the United Nations World Population Prospects. It highlights the customization of D3 axes, including a formatted x-axis tick label that converts population numbers into billions, and a cleaned-up y-axis with tick lines removed. The chart uses d3.scaleLinear and d3.scaleBand for positioning, d3.axisBottom and d3.axisLeft for axis generation, and d3.csv to load the data from a CSV file with populations multiplied by 1,000. Rendering is done via SVG.

Mmuneebsaleem12

96% match

Loading thumbnail…

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 code uses d3.csv to load the data, then renders SVG rectangles scaled with d3.scaleLinear and d3.scaleBand. It customizes the axes by calling d3.axisLeft and d3.axisBottom, and applies a fixed margin layout with a steelblue fill for the bars.

Nnshedd

96% match

Loading thumbnail…

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 v5 with SVG rendering, featuring a linear scale for population values and a band scale for country names. The code demonstrates custom axis configuration through `axisLeft` for the categorical country labels and `axisBottom` for the quantitative population scale, with data loaded from a CSV file using D3’s `csv` method.

Ccharliemok

96% match