Skip to main content
SimilarExport ZIP
100%

Untitled

✓ Published1🌍 Public
Bbicyclecode
Last edited Jan 8, 2021
Created on Jan 8, 2021
Forked from Untitled

Ten countries with the largest populations appear as red circles positioned along a point scale, with circle centers mapped by population on a linear x-axis. The chart uses D3 v6’s `scaleLinear`, `scalePoint`, `axisLeft`, `axisBottom`, and `format` to render SVG elements, including grid lines and titles. Population values from `data.csv` are multiplied by 1,000 and labeled with a custom tick formatter. Fonts are set via Google Fonts, and the layout uses fixed margins and an SVG viewport.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Untitled

This chart displays the populations of the ten most populous countries, ordered along the y-axis with bars scaled by population value. The code loads data from a CSV file and uses D3 v6’s `csv`, `scaleLinear`, `scaleBand`, and `axisBottom` functions. Each bar's width maps to the population, with the x-axis formatted in billions. The SVG is rendered with a dotted green outline on rectangles and custom font styling.

Bbicyclecode
89% match
Loading thumbnail…

Untitled

This example shows the populations of the ten most populated countries as horizontal bars, sorted by size with a linear scale for population and a band scale for country names. The code loads data from a CSV file using d3.csv, converts population figures, and renders the chart as SVG. It uses d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom, with custom tick formatting for readability. The bars are styled in steelblue, with axis labels and titles formatted via d3.format.

RRatul R
88% match
Loading thumbnail…

Untitled

This example shows the populations of the ten most populated countries as horizontal bars, sorted by size with a linear scale for population and a band scale for country names. The code loads data from a CSV file using d3.csv, converts population figures, and renders the chart as SVG. It uses d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom, with custom tick formatting for readability. The bars are styled in steelblue, with axis labels and titles formatted via d3.format.

RRatul R
88% match
Loading thumbnail…

Untitled

A dot plot displays population counts for the world's most populous countries, with each circle's vertical position encoding the population value and horizontal position distributed by country name. The chart uses D3 v5's scaleLinear, scalePoint, axisLeft, axisBottom, and csv loading to parse the data file. SVG circles are rendered on a 960×500 canvas, with gridlines, rotated country labels, and a title, while populations are formatted using abbreviations like "B" for billions.

AAbishek-Dulal
87% match
Loading thumbnail…

Untitled

A horizontal bar chart displays the population of ten countries, with bars scaled linearly from zero to the maximum value and countries ordered alphabetically along the vertical axis. The visualization uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs to render SVG rectangles and axes. Population data from a CSV file is multiplied by 1,000, and the x-axis labels use the `format('.3s')` tick formatter to abbreviate large numbers.

AAkshata Chandra
86% match
Loading thumbnail…

Untitled

This visualization shows the population of eight countries as horizontal bars, sorted by country name, with a title indicating "Top 10 most Populous Country" though only eight are plotted. The code uses D3 v7 APIs including `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, `axisBottom`, and `format` to load data from `data.csv`, scale population values, and render axes and rectangles in an SVG. Bars are colored individually from a fixed palette, and population values are multiplied by 1000 after parsing, with tick labels formatted in billions using the `format(".3s")` method.

Hharshb863
86% match
Loading thumbnail…

Untitled

A horizontal bar chart displays population estimates for ten countries, with bars colored in a warm orange against a teal background. The chart uses `d3.csv` to load data, `d3.scaleLinear` for the population axis, and `d3.scaleBand` to position bars per country. SVG rendering is performed via D3 v5, with axes created through `d3.axisLeft` and `d3.axisBottom`. Population values are formatted using `d3.format` with abbreviations like "B" for billions. Axes, grid lines, and domains are selectively removed to simplify the visual presentation.

LLaily Sarvarian
86% match
Loading thumbnail…

Untitled

This example shows a horizontal bar chart of population by country, with ten nations ranked from China’s largest population down to Mexico. The chart uses D3 v6 modules including `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to map population values to bar widths and country names to vertical positions. The SVG renders with a steel-blue fill for each bar, and the data is loaded from a local CSV file where population values are multiplied by 1000. Margins are applied on all sides to position the axes and bars within the 960 by 500 pixel viewport.

RReekMajumder
85% match