Skip to main content
SimilarExport ZIP
100%

Axes Works

✓ Published1🌍 Public
Aangelathacker123
Last edited Feb 18, 2022
Created on Feb 18, 2022
Forked from Axes Second Try

This example shows a horizontal bar chart of the ten most populous countries from a UN population dataset for 2020, with labeled axes. The data loads via `d3.csv` from a GitHub gist, and the chart uses `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. React renders the SVG, generating tick marks and labels with `xScale.ticks()` and mapping data to `<rect>` elements.

AI-generated description

Uses React to render data

MIT Licensed

Similar vizzes

Loading thumbnail…

Axes with React & D3

This example shows a horizontal bar chart of the top 10 most populous countries in 2020, as loaded from a CSV file of UN population data. The visualization uses D3’s `scaleBand` and `scaleLinear` to map country names and population values to SVG coordinates, while React manages the component state and renders the chart. Axes are drawn with D3 ticks and gridlines, and the bars are `rect` elements sized by the linear scale. The data fetching and parsing are performed with D3’s `csv` method inside a React `useEffect` hook.

KKolezhannochka
93% match
Loading thumbnail…

Axes with React & D3

This example shows a horizontal bar chart of the top 10 most populous countries in 2020, with axes rendered using React components and D3 scale functions. It loads CSV data from a GitHub-hosted UN Population dataset, parses the population column with `d3.csv`, and uses `scaleBand` and `scaleLinear` to position bars and ticks. The SVG output is created in a React component, with axis lines, tick labels, and rectangles generated from mapped data arrays.

KKazushige Okuma
93% match
Loading thumbnail…

Axes with React & D3

This example shows a horizontal bar chart of the ten most populous countries in 2020, with countries listed on the y-axis and population totals on the x-axis. It combines React state management with D3 utilities, using `d3.csv` to load data and `scaleBand`, `scaleLinear`, and `max` to compute positions and scales. React renders the SVG elements, while D3 generates the tick marks and grid lines for both axes. The source data comes from a UN population dataset hosted as a CSV file.

SSabin Bhandari
93% match
Loading thumbnail…

Axes with React & D3

This example shows a horizontal bar chart of the top ten most populous countries for 2020, with axes rendered manually. It loads UN population data via `d3.csv` and uses React’s `useState` and `useEffect` hooks to fetch and store the data. The chart builds `d3.scaleBand` and `d3.scaleLinear` scales to position bars and gridlines, mapping tick values to SVG `<line>` and `<text>` elements. All marks—rectangles, axis lines, and labels—are rendered as SVG within React components.

FFulvio Vigilante
93% match
Loading thumbnail…

Axes with React & D3

This example shows a horizontal bar chart of the top 10 most populous countries in 2020, using React to render the SVG elements and D3 to load and scale the data. The code uses `d3.csv` to fetch UN population data, `d3.scaleBand` for the categorical y-axis, `d3.scaleLinear` for the numeric x-axis, and manually generates axis ticks with `xScale.ticks()`. D3’s `max` helper computes the domain, while React manages the loading state and maps data points to `<rect>` and `<text>` elements.

Yyejichun@naver.com
93% match
Loading thumbnail…

Axes with react and d3

A bar chart displays the 10 most populous countries for 2020, sourced from a UN Population dataset loaded via D3’s `csv`. React renders SVG elements, while D3’s `scaleBand` and `scaleLinear` compute axes and bar positions. Custom tick marks and labels are generated from `xScale.ticks()`, with the chart wrapped in a margin-based `<g>` group.

FFonda Irena Santoso
93% match
Loading thumbnail…

Axes with React & D3

This example uses D3 and React to render a horizontal bar chart of the ten most populous countries from the United Nations World Population Prospects 2019 dataset. It displays population values for 2020 with x-axis tick marks generated via `xScale.ticks()` and country labels positioned using a band scale. The chart includes only these axes and bars—no gridlines or margins beyond the SVG viewport. The code loads data with `d3.csv` and uses `scaleBand` and `scaleLinear` for layout.

Llaplantalaplanta
93% match
Loading thumbnail…

Axes with React D3

This example displays a horizontal bar chart of the ten most populous countries from a UN population dataset, with axes rendered using React and D3.js. The code loads CSV data via `d3.csv`, scales it with `scaleBand` and `scaleLinear`, and draws SVG elements. Axes are manually constructed from tick values using React components, with grid lines and labels generated from `xScale.ticks()` and `yScale.domain()`.

Ccheruvatheryvishnu@gmail.com
93% match