Skip to main content
SimilarExport ZIP
100%

Untitled

✓ Published1🌍 Public
RReekMajumder
Last edited Nov 10, 2020
Created on Nov 10, 2020
Forked from Untitled

This bar chart displays the top 10 most populous countries using horizontal bars, with population values scaled linearly and countries arranged on a band scale. The visualization uses D3 v6 APIs including `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`, with custom tick formatting that converts large numbers to billions. The SVG renders with margins, gridlines via negative tick sizes, and axis labels, all styled through CSS. Data is loaded from a CSV file using D3's `csv` method, with population values multiplied by 1000 to reflect actual counts.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

See also React Starter.

MIT Licensed

Similar vizzes

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
92% match
Loading thumbnail…

Untitled

A horizontal bar chart displays the ten most populous countries in 2020, with population values encoded as bar lengths. The visualization uses React and D3 v5, employing `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. The `AxisBottom` and `AxisLeft` components render tick marks and labels, while `Marks` creates the rectangular bars. Population data comes from the United Nations World Population Prospects 2019, loaded via D3's `csv` function and formatted with `format`.

HHaileabGH
92% 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
92% match
Loading thumbnail…

Untitled

This bar chart displays the top 10 most populous countries in 2020, using horizontal bars to compare population sizes. The visualization loads data from a United Nations World Population Prospects 2019 CSV file via d3.csv, then renders it with React and SVG. The code uses d3.scaleBand for the y-axis, d3.scaleLinear for the x-axis, and d3.format to abbreviate tick labels (e.g., converting billions to "B"). Each bar includes a native SVG title tooltip showing the population value, with axes and labels rendered as custom React components.

Ssamemurk21
91% 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
91% match
Loading thumbnail…

Untitled

This visualization displays a horizontal bar chart comparing the top 12 countries by population, with bars extending from a shared origin. It uses React for component management and D3 v5 for data processing and chart construction, specifically leveraging `d3.csv` to load data and `d3.scaleBand` and `d3.scaleLinear` to map categories and values. The SVG rendering includes blue grid lines and axis labels, though the title mentions "Markers and Channels" while the on-screen heading reads "top 10 most countries." The bars are rendered as `rect` elements positioned and sized using the computed scales.

Ddivyakota99
91% match
Loading thumbnail…

Untitled

This example shows a horizontal bar chart of national populations, using the ten most populous countries from a CSV file. The chart renders as an SVG and uses D3 v6 scales (`scaleLinear` for bar lengths and `scaleBand` for categorical y-axis placement), with `d3.axisLeft` and `d3.axisBottom` providing labeled axes. Population values from the data are multiplied by 1,000 before plotting, and bars are colored via a CSS rule targeting `rect` elements. The React framework is present in the starter code but does not drive this visualization directly.

Ssimon0863
91% match
Loading thumbnail…

Untitled

A horizontal bar chart displays the population of the ten most populous countries, with values scaled by one thousand. The visualization uses D3 version 6's `scaleLinear` and `scaleBand` to map population counts to bar widths and country names to vertical positions. Data is loaded from a CSV file and rendered as SVG rectangles within a chart area offset by specified margins.

++/+
91% match