Axes with React and D3

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

Axes with React & D3

This example shows a horizontal bar chart of the top 10 most populous countries in 2020, rendered with React components as SVG elements. The code loads the UN population dataset asynchronously using `d3.csv`, then uses `scaleBand` and `scaleLinear` to position bars and generate tick marks for both axes. React manages the loading state and renders the chart only after data arrives. Custom axis lines and labels are created manually from the scales' tick values, avoiding the D3 axis component altogether.

MMorgan Worrell

Axes with React And D3

This example shows a horizontal bar chart of the top 10 most populous countries in 2020, rendered as SVG elements created by React components. It loads UN population data from a CSV file using D3’s `csv` utility, then maps that data to scales built with `scaleBand` and `scaleLinear`. Axes are drawn manually by iterating over `xScale.ticks()` and `yScale.domain()`, producing grid lines and text labels. React manages state for the asynchronous data loading, while D3 provides the quantitative and categorical scales.

OOleg Zhernovoy

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

Axes With React & D3

This example shows a horizontal bar chart of the top 10 most populous countries for 2020, using React to manage state and render SVG elements while D3 provides scales and tick generation. The code loads UN population data from a CSV via d3.csv, then uses d3.scaleBand for the y-axis countries and d3.scaleLinear for the x-axis population values. D3’s scale.ticks method generates the x-axis tick marks, which React maps to line and text elements within a transformed group.

PPratik Gohil

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

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

Axes with React and D3

This example uses React to render a horizontal bar chart of the top 10 most populous countries from a UN population dataset loaded via D3's `csv` function. The SVG output displays bars sized by population, with x-axis ticks and country labels positioned using D3's `scaleBand` and `scaleLinear` scales, while React's `useState` and `useEffect` manage the asynchronous data loading and UI updates.

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