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 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 uses React with D3 to display a horizontal bar chart of 2019 UN population data for the top ten countries. It loads the CSV data with the `csv` utility, scales the population values with `scaleLinear` for the x-axis and country names with `scaleBand` for the y-axis, and renders SVG rectangles for the bars. The chart’s axes are drawn using D3’s scale methods, with tick labels positioned via SVG text elements. Rendering is handled through React state and the `ReactDOM.render` method.

Kkosakase

Axes with React & D3

A horizontal bar chart displays the top ten countries by 2020 population, sourced from UN population data. React renders SVG elements for the axes and bars, while D3 computes scales, ticks, and grid lines. `d3.scaleBand` handles the categorical country axis, `d3.scaleLinear` maps population values, and `d3.csv` loads the remote dataset. The chart uses a margin-based layout with labeled x-axis ticks and a clean, minimal design.

JJohn Jeevasaeyan

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 demonstrates a horizontal bar chart of the top 10 countries by population for 2020, with D3 scales and axes rendered as React SVG components. It uses `d3.csv` to load UN population data, `scaleBand` for the y-axis categories, and `scaleLinear` for the x-axis values. Axis ticks are generated manually via `xScale.ticks()` and `yScale.domain()`, drawing lines, text, and rectangles directly in JSX. The visualization updates from a loading state to the chart once data arrives.

SSerind Joshua McCue

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 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