Making a Bar Chart

100%

Making a Bar Chart

✓ Published0🌍 Public

Last edited Apr 3, 2020

Created on Apr 3, 2020

This bar chart displays the populations of the top 10 most populous countries, using data from the United Nations’ 2018 World Population Prospects estimate. The chart uses D3 v5’s `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to render the SVG bars, with a custom tick format that abbreviates large numbers and removes grid lines. The y-axis labels are the country names, and the title and axis label are added via SVG text elements. Population values are parsed from a CSV file and multiplied by 1,000 before scaling.

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 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

97% 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 visualization uses D3 v5 with an SVG rendering, employing `scaleLinear` and `scaleBand` for axes, with `axisBottom` and `axisLeft` to generate customized ticks and gridlines. Population values are read from a CSV file, multiplied by 1000, and bars are drawn as `rect` elements with a steelblue fill, while a custom tick formatter converts large numbers to abbreviated notation.

Rrkagiri

97% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the top 10 most populous countries, using data from the 2018 United Nations World Population Prospects estimate, with values in thousands. The chart uses D3’s `scaleLinear` for the x-axis and `scaleBand` for the categorical y-axis, rendering SVG rectangles. Population values are parsed from a CSV file and multiplied by 1000 to represent actual figures. The chart is styled with steelblue bars, and axes are positioned using `axisLeft` and `axisBottom`.

TThomas Seberechts

97% 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. Each bar’s length is scaled linearly to population values, while country names are positioned along a band scale. The chart is rendered as SVG using D3 v5, with axes generated through `d3.axisLeft` and `d3.axisBottom`, and data loaded via `d3.csv`. Grid lines and axis labels are formatted using `d3.format`.

BBraja Gopal Das

97% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the top 10 most populous countries from the 2018 United Nations World Population Prospects, using country names on the vertical axis and population on the horizontal axis. Built with D3 v5, it uses `d3.scaleLinear` and `d3.scaleBand` to map data, customizes axes with `d3.axisBottom` and formatted tick labels, and renders bars as SVG rectangles styled via external CSS. Population values are read from a CSV and scaled by 1,000.

Oonstiz

97% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. The chart uses a linear scale for the population axis and a band scale for the countries, with customized D3 axes that remove domain lines and apply abbreviated tick labels. Built with D3 v5 and rendered as SVG, the code loads data from a CSV file and formats population values in thousands, with the x-axis labeled "Population" and a title above the chart.

Hhbzaheer

97% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. It uses D3 v5 to load the data from a CSV and render an SVG with linear and band scales. The chart applies `scaleLinear` for the population axis and `scaleBand` for the country categories, while `axisLeft` and `axisBottom` handle tick marks. Population values are formatted in abbreviated units (e.g., "B" for billions) via the `format` API.

Rraphman100

97% match

Loading thumbnail…

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 v5’s `scaleLinear` and `scaleBand` to map populations and country names to the SVG canvas, with axes drawn via `axisLeft` and `axisBottom`. The chart’s bars are rendered as SVG rectangles, styled with CSS. Population values are loaded from a local CSV file and multiplied by 1,000 before rendering.

CCL

96% match