Skip to main content
SimilarExport ZIP
100%

Barchart

✓ Published0🌍 Public
MMiish84
Last edited Apr 7, 2020
Created on Apr 7, 2020

This bar chart displays population estimates for the ten most populous countries, using horizontal bars ordered from largest to smallest. The visualization is built with D3 v5, loading CSV data and rendering as SVG. It uses `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the categorical y-axis, with axes generated by `d3.axisLeft` and `d3.axisBottom`. The chart demonstrates basic SVG features including margins, scales, and rect elements filled in steel blue.

AI-generated description

An example including some commonly used features of SVG.

MIT Licensed

Similar vizzes

Loading thumbnail…

Barchart

A horizontal bar chart displays population estimates for the ten most populous countries, with values scaled in thousands and bars ordered by descending population. The visualization uses D3 v5, loading data from a CSV and rendering to SVG with `scaleLinear` for the x-axis, `scaleBand` for the categorical y-axis, and `axisLeft`/`axisBottom` for ticks. Bars are drawn as `rect` elements, filled with steelblue, within left and top margins.

Rrblue36
96% match
Loading thumbnail…

The Barchart

This horizontal bar chart displays the populations of the ten most populous countries, using D3 v5 to map values to bar widths via `d3.scaleLinear` and `d3.scaleBand`. The SVG rendering includes gridlines, axis labels, and a title, with data loaded from a CSV file. Axis construction relies on `d3.axisLeft` and `d3.axisBottom`, while numeric tick labels are formatted using `d3.format`. The visualization is generated entirely client-side through D3’s data-join pattern.

JJezwin Varghese
93% match
Loading thumbnail…

Bar chart

This bar chart displays population estimates for the ten most populous countries, with horizontal bars sorted by descending population. The visualization uses D3 v5’s `scaleLinear` for the x-axis and `scaleBand` for the categorical y-axis, rendering SVG rectangles. Data is loaded from a CSV file via `d3.csv` and scaled by a factor of 1,000. Axes are generated with `axisLeft` and `axisBottom`, while margins and an SVG group transform position the chart within the 960×500 viewport.

Eevapavlinek
92% match
Loading thumbnail…

Bar chart

This bar chart displays population estimates for the ten most populous countries, with horizontal bars sorted by population size. It uses d3.csv to load the data, d3.scaleLinear and d3.scaleBand for positioning, and d3.axisLeft and d3.axisBottom for the axes. The SVG rendering includes rectangular elements filled with steelblue, and the population values are multiplied by 1000 to reflect actual numbers.

SSadi Hassan
92% match
Loading thumbnail…

Bar chart using D3.js

This bar chart displays population estimates for the ten most populous countries, using horizontal bars sorted alphabetically by country with steel-blue rectangles. The visualization loads data from a CSV file and renders it as SVG elements, with the D3 v5 library handling the core logic. It employs `scaleLinear` for the x-axis population values and `scaleBand` for the y-axis country categories. The chart adds axes through `axisLeft` and `axisBottom`, appends a group element with margins, and positions rectangles using the scales.

AAbhishek Chandarana
92% match
Loading thumbnail…

Making a Barchart

A horizontal bar chart displays population figures for the ten most populous countries, with bars labeled by country name along the y-axis and a linear population scale on the x-axis. The visualization uses D3 v5 APIs including `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the chart. Data is loaded from a CSV file using `d3.csv`, with population values multiplied by 1000 for display. The SVG output renders steelblue rectangles with a font size of 1.5em for text labels.

KKazushige Okuma
91% match
Loading thumbnail…

Let's make a bar chart

This bar chart displays population estimates for the ten most populous countries, using horizontal bars ordered alphabetically by country name. The visualization loads data from a CSV file and renders SVG rectangles scaled by population magnitude. Built with D3 v5, the code uses `d3.csv`, `scaleBand`, `scaleLinear`, `axisLeft`, and `axisBottom` to construct the chart with labeled axes and steel-blue bars. Margins, a custom inner plotting area, and a 0.1 band padding define the layout.

Ssunilkrishnav
91% match
Loading thumbnail…

Making a Bar Chart

This bar chart displays population estimates for the ten most populous countries, using horizontal bars ordered by descending population. The visualization is built with D3 v5, loading data from a CSV file and rendering to SVG. It employs `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the categorical y-axis, and `d3.axisLeft` and `d3.axisBottom` for the axes. The chart maps population values to bar widths, with the y-axis labels showing country names.

AAnthony Lee
91% match