Skip to main content
SimilarExport ZIP
100%

PopulationRanking

✓ Published1🌍 Public
Mmartin
Last edited Jul 9, 2021
Created on Jul 8, 2021
Forked from Hello VizHub

This example shows a horizontal bar chart ranking ten countries by population, using a bar length proportional to each country’s population value. The visualization loads data from a CSV file, then uses `d3.csv` and `scaleLinear` for the x-axis and `scaleBand` for the categorical y-axis, with `axisLeft` and `axisBottom` to render the axes. The bars are drawn as SVG `rect` elements in a React-free setup, using D3 v7 and a plain HTML page. Population values are multiplied by 1000 before rendering.

AI-generated description

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

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

making a bar chart

This example demonstrates a horizontal bar chart ranking the populations of ten countries, with each bar’s length proportional to its value. It uses D3 v6 with an SVG rendering approach, loading the data from a CSV file and scaling it with `d3.scaleLinear` and `d3.scaleBand`. The chart draws axes via `d3.axisLeft` and `d3.axisBottom`, and populates rectangles for the bars while styling them with CSS. The population values are multiplied by one thousand before plotting, as seen in the JavaScript.

Jjerry70938@gmail.com
89% match
Loading thumbnail…

Let's make a horizontal bar chart

A horizontal bar chart ranks the ten most populous countries by displaying each country's population as a bar, with values read from a CSV file. The visualization uses the React framework to render SVG elements, with D3 v5's `scaleLinear` mapping population to bar width and `scaleBand` positioning each country label. Axes are generated using `axisLeft` and `axisBottom`, while the chart's bars are appended as styled rectangles, and the population data is multiplied by 1000 to reflect actual figures.

GGreg Dickison
89% match
Loading thumbnail…

Making a Bar Chart

This example shows a horizontal bar chart ranking the ten most populous countries, with each bar’s length proportional to population and countries ordered along the y-axis. The visualization uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to position bars and axes, while `csv()` loads the data and `selectAll` appends SVG rectangles. Population values are multiplied by 1000, and the chart is rendered in an SVG canvas with steelblue bars.

Mmatthewfresh
89% match
Loading thumbnail…

Making a Bar chart

This example shows a horizontal bar chart ranking the populations of ten countries, with bars sized proportionally to each nation’s population values loaded from a CSV file. The visualization uses D3 v5’s `scaleLinear` for the x-axis, `scaleBand` for the categorical y-axis, and `axisLeft` and `axisBottom` to render the axes. SVG rectangles are appended and positioned using the scales, with the chart drawn inside a bordered margin area. The data is parsed and multiplied by 1,000 to reflect actual population figures.

Ddev-snip
89% match
Loading thumbnail…

population

This example displays a horizontal bar chart of the top 10 countries by projected 2020 population, using data loaded from a CSV file. The visualization employs React for component rendering and SVG for drawing rectangles, with scales from D3 (`scaleBand` and `scaleLinear`) mapping country names to y-positions and population values to bar widths. The data is fetched asynchronously using D3’s `csv` utility, and the bars are colored uniformly without additional styling.

RRonald Yagan
89% match
Loading thumbnail…

Making a Bar Chart

This example shows a horizontal bar chart ranking the populations of the top 10 most populous countries, with a linear scale for population values and a band scale for country names. The visualization uses d3.csv to load population data, d3.scaleLinear and d3.scaleBand for positioning, and d3.axisLeft and d3.axisBottom with custom tick formatting for labels. The chart renders to SVG with margin-based layout, includes gridlines from the x-axis, and applies a custom title and axis labels.

Llujinxuan-fang
89% match
Loading thumbnail…

Population BarChart (React & D3)

This example displays the ten most populous countries as a horizontal bar chart, with each bar’s length proportional to its 2020 population estimate. The visualization loads CSV data from a GitHub gist using `d3.csv` and renders an SVG through React components. Scales are constructed with `d3.scaleBand` for the categorical country axis and `d3.scaleLinear` for the continuous population axis, while gridlines and axis ticks are generated via `xScale.ticks()`. The chart updates reactively as data arrives asynchronously.

RRob OLeary
88% match
Loading thumbnail…

Making a Bar Chart

This bar chart displays population estimates for ten countries, with horizontal bars ranked by population size from largest to smallest. Rendered as SVG, the visualization uses D3 v6 scales to map population values to bar lengths and country names to bar positions. Its axes come from D3’s `axisLeft` and `axisBottom`, while bar heights rely on `scaleBand`’s bandwidth. Hovering over a bar turns it dark blue. The data loads from a CSV file via `d3.csv` and is preprocessed by multiplying each population value by 1,000, reflecting the source’s units in thousands.

MMatthew Rubino
88% match