Axes with React & D3

Axes with React & D3

This example shows a horizontal bar chart of the top ten countries by 2020 population, with axes rendered manually using React components. The code loads UN population data via `d3.csv`, maps it with a custom row function, and uses `scaleBand` for the y-axis (countries) and `scaleLinear` for the x-axis (population). Tick marks and labels are generated with `xScale.ticks()`, while bars are drawn as SVG `<rect>` elements. The chart updates reactively through `useState` and `useEffect` hooks, with D3 v7 providing scales and data parsing.

JJun Suzuki

Axes with React & D3

This example shows a horizontal bar chart displaying the top ten countries by 2020 population from a UN dataset. The visualization uses React for component rendering and D3 v7 utilities for data loading and scales. Axes are manually constructed with SVG elements, using `scaleBand` for the categorical country labels and `scaleLinear` for the numeric population values. Data is fetched as CSV, parsed with D3's `csv` function, and rendered as SVG rectangles within a React component.

Bbsolomon103

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 population data for the top 10 countries in 2020, with axes drawn manually using React components. The code loads the UN Population dataset via `d3.csv`, then uses `scaleBand` and `scaleLinear` from D3 to position bars and ticks, while React state and `useEffect` manage data loading. SVG elements like `<rect>` and `<line>` render the bars and axis ticks, with text labels positioned via D3 scales, all inside a React component tree rendered to the DOM.

CCyc-Evelyn

Axes with React and D3

This example visualizes the top 10 countries by 2020 population as horizontal bars, displaying the data as text labels and bars using React components and D3 scales. The code builds SVG elements from scratch, using `scaleBand` for the y-axis country labels and `scaleLinear` for the x-axis population values, with axis ticks rendered manually. It loads UN population data from a CSV file via `d3.csv` and uses React hooks like `useState` and `useEffect` to fetch and render the data, with the final chart presented as an interactive SVG graphic.

Fforcox43

Axes with React & D3

This example shows a horizontal bar chart of population data for the top 10 countries in 2020, using React to render SVG elements and D3 to compute scales and ticks. It loads the UN Population 2019 dataset via `d3.csv`, then uses `d3.scaleBand` for the categorical y-axis, `d3.scaleLinear` for the numeric x-axis, and `d3.max` to set the domain. Axis ticks are generated with `xScale.ticks()` and drawn as lines and text, while rectangles represent each country’s population. The chart is styled with a left margin for country labels, and axes are positioned using SVG transforms.

CChris Briggs

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 population data for the top 10 countries in 2020, rendered as SVG using React components. D3 utilities load the CSV dataset and compute scales, while React handles the rendering of axes, tick labels, and bars. The code explicitly builds the x-axis with `xScale.ticks()` and gridlines, and the y-axis from `scaleBand` domains, using `d3.csv`, `scaleLinear`, and `scaleBand` from d3 v6. Data comes from a UN Population 2019 CSV file loaded via a gist URL.

RRMartins11