Bar Chart

100%

✓ Published1🌍 Public

Last edited Nov 18, 2019

Created on Nov 18, 2019

This bar chart displays the population of the ten most populous countries, using horizontal bars ordered alphabetically from China to Mexico. The visualization is rendered in SVG using D3 v5, with `scaleLinear` mapping population values to bar widths and `scaleBand` handling the categorical country labels. Axes are generated via `axisLeft` and `axisBottom`, and the data comes from a local CSV file. The bars themselves are simple rectangles filled with steel blue.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Bar chart

A horizontal bar chart displays the population of the top ten most populous countries, with bars ordered from largest (China) to smallest (Mexico). The visualization uses D3 v5’s `csv`, `scaleLinear`, and `scaleBand` to map population values to bar lengths and country names to vertical positions, while `axisLeft` and `axisBottom` generate axes with formatted tick labels. Data from `data.csv` is loaded asynchronously and multiplied by 1000 to reflect actual population figures. The SVG rendering includes a title and axis labels, with bars styled in steel blue.

Ssayleenaik

94% match

Loading thumbnail…

Bar Chart

This bar chart displays the populations of ten countries, from the most populous (China) to the least (Mexico). It uses D3 v5 with an SVG rendering, employing `scaleLinear` for the horizontal value axis and `scaleBand` for the categorical country axis. Data is loaded from a CSV file, and population values are multiplied by 1,000 for display. The chart includes axes generated via `axisLeft` and `axisBottom`.

Bbambaleq

94% match

Loading thumbnail…

Making a bar chart

A bar chart displays the ten most populous countries, ranked by population from China down to Mexico. The chart uses a horizontal bar layout with population values scaled along the x-axis and country names on the y-axis. Built with D3 v5, the visualization loads data from a local CSV file and renders as SVG. The code employs `scaleLinear` and `scaleBand` for the axes, with `axisLeft` and `axisBottom` to generate their ticks. Bar rectangles are filled with a steel blue color via CSS.

AAaron Goebel

94% match

Loading thumbnail…

Bar chart

This bar chart displays the population of the ten most populous countries, using horizontal bars ordered alphabetically by country name. The visualization loads data from a CSV file and renders it as SVG rectangles. It uses D3 v5 scales and axes, including `scaleLinear` for the population axis and `scaleBand` for the categorical country axis, with `axisLeft` and `axisBottom` for tick marks. The bars are styled steelblue via an external stylesheet.

BbeauMarko

94% match

Loading thumbnail…

Bar Chart

A horizontal bar chart displays population estimates for ten countries, with bars ordered from China at the top to Mexico at the bottom. Population values are read from a CSV file and scaled linearly, while country names are mapped to a band scale. The chart is rendered as SVG using D3 v5, with axes generated by `axisLeft` and `axisBottom`. The bars themselves are appended as `rect` elements with a steelblue fill, and the visualization includes margins and a padding between bars.

Mmerha-g-selassie

93% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the 2019 populations of the ten most populous countries, with horizontal bars ranked from China down to Mexico. The visualization uses D3 v5 with an SVG rendering, employing `scaleLinear` for the population axis and `scaleBand` for country categories. Axis labels and a title are added via D3’s axis components. Population values are parsed from a CSV file and formatted in billions using D3’s `format` function. Data originates from the World Population Prospects 2019 report.

GGeolffrey S Mena

93% match

Loading thumbnail…

Bar chart

This bar chart displays population counts for ten countries, from China down to Mexico, using horizontal bars ordered by descending population. The visualization loads data from a CSV file sourced from Worldometer, encoding the country names along the y-axis and population values on the x-axis. It is built with D3.js, using `scaleLinear` and `scaleBand` for the scales, and `d3.axisLeft` and `d3.axisBottom` to render the axes. The chart is rendered as an SVG with yellow-green bars and a light gray background.

Aarieltonglet

93% match

Loading thumbnail…

Bar Charts with D3

This example displays a horizontal bar chart ranking the populations of ten countries, from China at the top to Mexico at the bottom. The bars are rendered as SVG rectangles with a steelblue fill, and the chart includes labeled axes for both country names and population values. The visualization is built using D3 v7, employing functions such as `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to manage the scales and axes. Data is loaded from a local CSV file and parsed to numeric values before being passed to the render function.

AAndy Chang

92% match