Axes with React and D3

Axes with React and D3

This example renders a horizontal bar chart of population data for ten countries, sourced from a CSV file. It uses React to manage the data state and D3 scales (scaleBand and scaleLinear) to position bars and axes. The chart displays x-axis ticks with grid lines and y-axis country labels, with bars sized by the population value from the 2020 column. The visualization is drawn as SVG, with D3’s csv function fetching and parsing the data before React renders the elements.

Jjackcaldwellnichols

Axes with React & D3

This example shows a horizontal bar chart of the ten most populous countries in 2020, using population data from a CSV file loaded via D3’s `csv` utility. React renders the SVG elements, while D3’s `scaleBand` and `scaleLinear` position the bars and axes, and `xScale.ticks()` generates the gridline values. The chart displays country labels on the left and tick marks with numeric population values along the bottom, with styles set through inline React props and attributes.

Ee-ines

Axes with React & D3

This example renders a horizontal bar chart of 2020 population estimates for ten countries in SVG. Data is loaded from a CSV file using `d3.csv`, and React uses `useState` and `useEffect` to manage the asynchronous fetch. D3 scales (`scaleBand`, `scaleLinear`) compute bar positions and widths, while axis ticks are generated manually from `xScale.ticks()` with rendered lines and text. The chart displays country labels on the left and value ticks below the bars.

TTroy Marchesseault

Axes with React & D3

This example shows a horizontal bar chart of population data for ten countries in 2020, with a formatted x-axis and categorical y-axis labels. The visualization is built with React components that leverage D3 scales (`scaleBand`, `scaleLinear`) to compute positions, while the axes and marks are rendered as SVG elements generated through JSX. Data is loaded via `d3.csv` from a GitHub-hosted dataset, and tick labels use `d3.format` to abbreviate large population numbers. Styling is applied through CSS classes targeting the SVG elements.

DDaniel Zsido

Axes with React & D3

This example shows a horizontal bar chart of the top 10 countries by 2020 population, with axes drawn entirely through React components and D3 scales. The code uses `scaleBand` and `scaleLinear` to map country names and population values to pixel coordinates, while manually rendering tick marks and labels for both axes as SVG elements. Data is loaded from a CSV file using `d3.csv`, and the chart updates reactively through React’s `useState` and `useEffect` hooks.

RRajat Dangat

Axes with React and D3

This example shows a horizontal bar chart of 2020 population estimates for ten countries, rendered as SVG from React components that directly call D3 scales and tick functions. It loads CSV data from a GitHub gist using `d3.csv` and a row-conversion function, then builds a band scale for country names and a linear scale for population values. Tick marks and labels for the x-axis are generated manually from `xScale.ticks()`, while y-axis labels use the band scale’s domain, and rectangles are drawn with computed widths and heights.

Nnpelliccia

Axes with react and D3

A horizontal bar chart displays the top 10 most populous countries for 2020, loaded from a CSV file via D3's `csv` utility. React renders the SVG, with D3's `scaleBand` and `scaleLinear` mapping country names and population values to positions and bar lengths. Axes include tick marks and labels generated from `xScale.ticks()` and the band domain, while rectangles encode the data values.

CChris Knight

Axes with React & D3

This example shows a horizontal bar chart of the ten most populous countries in 2020, with country names on the y-axis and population values on the x-axis. The visualization uses React to render SVG elements and D3 utilities—`csv` for data loading, `scaleBand` and `scaleLinear` for axis scaling, and `max` for domain calculation. It draws grid lines, tick labels, and bars positioned via the scales. The data comes from a GitHub-hosted CSV file.

Llefat92