bar chart test

100%

bar chart test

✓ Published2🌍 Public

Last edited Feb 19, 2021

Created on Feb 16, 2021

Forked from SVG face

This bar chart displays the populations of the top 13 most populous countries using 2020 estimates from the United Nations World Population Prospects. The visualization uses D3 v6 with an SVG rendering, employing `d3.scaleLinear` for the horizontal population axis and `d3.scaleBand` for the vertical country categories. Data is loaded from a CSV file via `d3.csv`, and axes are generated with `d3.axisBottom` and `d3.axisLeft`, with bars styled in steel blue.

AI-generated description

This bar chart shows the population of the top 10 most populous countries . The data comes from the year 2020 estimate in United Nations: World Population Prospects 2020.

MIT Licensed

Similar vizzes

Loading thumbnail…

bar chart

This horizontal bar chart displays the populations of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. Using D3 v5, it employs `scaleLinear` and `scaleBand` to map population values and country names, respectively, while `axisBottom` and `axisLeft` generate the labeled axes. The SVG bars are colored steelblue via CSS, with tick formatting converting numbers to abbreviated units like “B” for billions. Data is loaded from a CSV file using D3’s `csv` parser.

Ttkreglhn

92% 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 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

91% 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 2017 data. The data is loaded from a CSV file and rendered as SVG rectangles. The visualization uses the D3 v5 library, specifically the `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs to map population values to bar widths and country names to vertical bands. The chart includes labeled axes and bars filled with a steel blue color.

Llisacaligagan

91% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, using 2019 estimates from the United Nations World Population Prospects 2020. The visualization uses D3 v6 with an SVG rendering approach, employing `scaleLinear` for the x-axis and `scaleBand` for the y-axis. Data is loaded from a CSV file, with populations multiplied by 1000 to represent actual figures. The chart includes axes generated via `axisLeft` and `axisBottom`, with dark blue bars against a light blue background.

SShokoLocoMocco

91% match

Loading thumbnail…

bar chart

This horizontal 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 loads data from a CSV file using `d3.csv`, then renders SVG bars with `d3.scaleBand` for the categorical country axis and `d3.scaleLinear` for the population values. Axis labels and tick formatting use `d3.axisLeft`, `d3.axisBottom`, and `d3.format` to abbreviate population numbers in billions. The chart includes a title, axis label, and custom margins.

Ttkreglhn

91% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the top ten most populous countries, using 2018 estimates from the United Nations World Population Prospects. The visualization uses D3 v5, with `d3.scaleLinear` mapping population values to bar widths and `d3.scaleBand` positioning countries along the vertical axis. Bars are rendered as SVG rectangles with a steelblue fill. The data is loaded from a CSV file and parsed before being passed to the render function.

AArtem

91% 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. The visualization uses D3 v5’s `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to position bars and render axes. Axes are customized with tick removal and abbreviated population labels via `format('.3s')`. The data is loaded as CSV and rendered as SVG rectangles with a steelblue fill.

JJunhao CHen

91% match

Loading thumbnail…

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

91% match