Skip to main content
SimilarExport ZIP
100%

Bar Chart Test

✓ Published1🌍 Public
NNyarmussa
Last edited Apr 12, 2020
Created on Apr 4, 2020
Forked from HTML Starter

This example shows a horizontal bar chart ranking the 23 most populated U.S. counties, with each bar labeled with its exact population count. The visualization uses React with D3 v5, employing `scaleLinear` for the x-axis and `scaleBand` for the y-axis, with `axisLeft` and `axisBottom` for ticks. Data from the CSV file is loaded via `csv()`, and bars are rendered as SVG `<rect>` elements. The chart includes a title, axis label, and a fixed 900×500 SVG canvas.

AI-generated description

A bare minimum HTML page.

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

Bar Chart Test

This bar chart displays the populations of the most populous U.S. counties, with each bar’s length representing the population in thousands. The SVG visualization is built using React and D3 v3, employing `scaleLinear` for the x-axis and `scaleBand` for the categorical y-axis. Data is loaded from a local CSV file via `csv()`, and the chart includes axes generated with `axisBottom` and `axisLeft`. Rectangles are colored green via CSS, while a label for the x-axis is appended, though a commented-out section indicates incomplete value labels.

NNyarmussa
94% match
Loading thumbnail…

Bar Chart Review

This example shows a horizontal bar chart ranking the top 10 most populous countries, with population values on the x-axis and country names on the y-axis. The code uses React with D3 v5, loading data from a CSV file via `d3.csv` and rendering SVG elements. It employs `d3.scaleLinear` and `d3.scaleBand` for positioning, `d3.axisLeft` and `d3.axisBottom` for axes, and custom tick formatting with `d3.format` to abbreviate large numbers (e.g., converting billions to "B"). The bars are drawn via a data join, with a title and axis label added as text elements.

Ccathykan
86% match
Loading thumbnail…

Bar Chart

This bar chart displays population counts for ten countries, using horizontal bars ordered from most to least populous. The chart is rendered as an SVG within a React application, built with D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`. Data from a CSV file is loaded via `d3.csv`, with population values multiplied by 1000. Bars are appended as `rect` elements, with axes and text styled in a brown color scheme.

SS733-cmd
86% match
Loading thumbnail…

Bar Chart Creation

This example shows a horizontal bar chart of the top 10 most populous countries in 2020, using a D3 scaleBand for the y-axis and a scaleLinear for the x-axis. Built with React, it loads CSV data via d3.csv and renders SVG rectangles for each bar. The chart includes formatted population labels on the bottom axis using d3.format, with axis components defined in separate React files. The x-axis label, axis ticks, and bar styling are all customized through CSS classes.

KKtuzinowski
85% match
Loading thumbnail…

Bar Chart

This bar chart displays the 20 most populous U.S. states or territories, ranked horizontally by their population counts from the 2000 census. The visualization uses React to render SVG elements, with D3 v5’s `scaleBand` and `scaleLinear` handling the axes and bar positioning. Data is loaded asynchronously via `d3.csv` from a GitHub Gist, with tooltips showing formatted population values using `d3.format`. The chart includes styled grid lines, axis labels, and a Poppins font for a clean, readable presentation.

Rrammy81
85% match
Loading thumbnail…

Bar Chart Example

This horizontal bar chart displays the top 10 most populous countries, using population data loaded from a CSV file. The visualization uses React with D3 v5’s `scaleLinear` and `scaleBand` to map values, while `axisLeft` and `axisBottom` with tick formatting render the axes. SVG elements are appended directly to the DOM, with grid lines created via tick size and styled bars filled in steelblue.

NNico Donovan
85% match
Loading thumbnail…

Bar chart

This example displays a horizontal bar chart ranking the top 10 most populous countries, using population data loaded from a CSV file via `d3.csv`. The chart uses `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and renders bars as SVG `rect` elements. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, with tick formatting applied through `d3.format` to abbreviate numbers. The visualization is built with React, D3 v6, and SVG rendering.

JJordy Fronik
85% match
Loading thumbnail…

Bar Chart Rendering Data with React and D3

This example visualizes the top 10 most populous countries as horizontal bars, with each bar’s length proportional to its 2020 population estimate from the United Nations World Population Prospects. The React component manages state for the loaded data, while D3’s `scaleBand` positions countries along the y-axis and `scaleLinear` maps population values to bar widths on the x-axis. Data is fetched as CSV via `d3.csv`, and the chart renders as SVG `<rect>` elements within a React-rendered `<svg>` container.

AAriana
85% match