Axes with React & D3

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 most populous countries in 2020, rendered as SVG in a React component. The chart uses D3’s `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, with grid lines and tick labels generated via D3’s `ticks()`. Data is loaded asynchronously from a CSV file using `d3.csv`, and React manages state and rendering. The visualization demonstrates a clean manual integration of D3 scales and SVG elements within React’s declarative paradigm.

JJeff Wagner

Axes with React & D3

This example shows a horizontal bar chart of the top 10 most populous countries in 2020, rendered with React and D3. It loads CSV data from a GitHub gist using D3’s `csv` function, then uses `scaleBand` and `scaleLinear` to map country names and population values to pixel positions. React renders SVG elements, including manually drawn axes with `xScale.ticks()`, grid lines, and text labels, while D3’s `max` computes the domain. The chart updates from a loading state to display the final visualization.

TtrwMK

Axes with React & D3

This example shows a horizontal bar chart of the top ten most populous countries in 2020, using data loaded from a CSV file via `d3.csv`. React renders the SVG elements, while scales from D3 (`scaleBand`, `scaleLinear`) position the bars and axes. Manual axis construction uses `xScale.ticks()` and `yScale.domain()` to generate grid lines and tick labels, with country names and population values mapped to rectangular `rect` elements.

Jjwlam83

Axes with React & D3

This example presents a horizontal bar chart of the top ten most populous countries for 2020, rendered as SVG via React. It uses D3 v5 utilities (`d3.csv`, `scaleBand`, `scaleLinear`, `max`) to load and transform data from a GitHub-hosted CSV, then draws axes and bars with JSX elements. The x-axis ticks are generated from the linear scale, while y-axis labels align with band positions, all translated inside a margin group.

Aazharahmad0

Axes with React & D3

This example renders a horizontal bar chart of the ten most populous countries in 2020, using React to manage the user interface and D3 v5 utilities for data loading and scales. The code fetches data from a CSV using `d3.csv`, then builds a band scale for countries and a linear scale for population values. SVG elements are generated declaratively through React, with D3’s `scaleBand` and `scaleLinear` computing positions, while explicit axis ticks and labels are mapped from the scales’ domains.

IIlyas Filali

Axes for React and D3

This example displays a horizontal bar chart of the top ten countries by population in 2020, using data loaded from a CSV file. The visualization is built with React and D3 v5, rendered as an SVG. The code uses D3 utilities like `csv` for data loading, `scaleBand` for the y-axis, `scaleLinear` for the x-axis, and `max` to compute the domain. Axis ticks and grid lines are generated from the scales, with bars drawn as SVG rectangles.

SSarah Elkeurti

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