Axes with React & D3

Axes with React + D3

This example shows a horizontal bar chart of top-10 countries by 2020 population, using React to manage the data and render SVG axes and bars. It loads CSV data from a GitHub gist with d3.csv, stores it in React state via useState and useEffect, and builds scales with d3.scaleBand and d3.scaleLinear. Axes are drawn manually with SVG line and text elements, while d3.max computes the domain. React’s declarative rendering replaces D3’s typical join pattern for the visualization.

Rrmgoldberg24

Axes with react and D3

This example shows a horizontal bar chart of the top 10 countries by 2020 population, with custom axes rendered as SVG elements. D3 scales (scaleBand, scaleLinear) compute bar positions and sizes, while React manages state and renders ticks, labels, and rects. The code manually generates axis ticks via xScale.ticks() and maps domains, avoiding d3.axisBottom. Data loads from a CSV file using d3.csv.

Ggayatrisridhar

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 & D3

This example shows a horizontal bar chart of the top 10 countries by 2020 population, rendered as SVG through React components. React state tracks the data, initially loaded via `d3.csv`, while `scaleBand` and `scaleLinear` position bars and axes. The chart includes manually drawn tick marks and labels for both axes. The code uses React `useState` and `useEffect` hooks, along with D3’s `max` for scaling.

KK3zter

Axes with React & D3

This example renders a horizontal bar chart of the top 10 countries by 2020 population using React and D3. It shows CSS-loaded data from a CSV file, with axes drawn manually. The code uses D3’s `scaleBand`, `scaleLinear`, and `csv` to fetch and scale data, while React’s `useState` and `useEffect` manage loading and state. SVG elements are generated in JSX, with tick marks and labels positioned via D3’s `ticks()` and the scales’ range.

Yyejichun@naver.com

Axes with React and D3

This example shows a horizontal bar chart of the top 10 most populous countries in 2020, rendered as SVG inside a React component. The visualization uses React state and hooks to load CSV data from a GitHub gist, then applies D3’s `scaleBand` and `scaleLinear` to position bars and generate axis ticks. Manually drawn grid lines and tick labels for both axes are created by mapping over `xScale.ticks()` and the y-scale’s domain, with a fixed margin convention shaping the inner chart area.

MMaciek Sitkowski

Axes with React and D3

This example shows a horizontal bar chart of the top 10 countries by population in 2020, rendered as an SVG in a React component. D3’s `scaleBand` and `scaleLinear` position the bars and axes, while React generates the tick marks and axis labels as JSX elements. Population data loads from a CSV URL via `d3.csv`. The chart combines D3’s scales and data parsing with React’s state management and declarative rendering.

AAndrea Picciau

Axes with react D3

This example shows a horizontal bar chart of the top 10 countries by population in 2020, using React to render SVG elements and D3 to handle data loading and scales. The code loads CSV data from a remote URL with `d3.csv`, then uses `scaleBand` for the country axis, `scaleLinear` for the population axis, and manually creates tick marks and labels for both axes. Each country is represented as a `rect` whose width corresponds to its population.

Jjiro2017