Axes with React & D3

100%

Axes with React & D3

✓ Published1🌍 Public

Last edited Aug 15, 2023

Created on Aug 15, 2023

This example shows a horizontal bar chart of the ten most populous countries in 2020, with country names on the y-axis and population values on the x-axis. The visualization uses React to render SVG elements and D3 utilities—`csv` for data loading, `scaleBand` and `scaleLinear` for axis scaling, and `max` for domain calculation. It draws grid lines, tick labels, and bars positioned via the scales. The data comes from a GitHub-hosted CSV file.

AI-generated description

A program that loads in some data about CSS named colors using D3 utilities and uses React to render the data.

MIT Licensed

Similar vizzes

Loading thumbnail…

Axes with React & D3

This example shows a horizontal bar chart of the ten most populous countries in 2020, using population data from a CSV file loaded via D3’s `csv` utility. React renders the SVG elements, while D3’s `scaleBand` and `scaleLinear` position the bars and axes, and `xScale.ticks()` generates the gridline values. The chart displays country labels on the left and tick marks with numeric population values along the bottom, with styles set through inline React props and attributes.

Ee-ines

97% match

Loading thumbnail…

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

96% match

Loading thumbnail…

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

96% match

Loading thumbnail…

Axes with React & D3

This example shows a horizontal bar chart of the top 10 most populous countries in 2020, rendered as SVG in React. D3 utilities load the CSV data, compute the scales, and generate tick marks, while React manages the component state and renders the chart elements. The bar lengths reflect each country’s population, with axis lines and labels positioned using D3’s scaleBand and scaleLinear. The chart uses D3 v5 and React 16.9, with data sourced from a GitHub-hosted CSV.

WWasanta Pruttisarikorn

96% match

Loading thumbnail…

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

96% match

Loading thumbnail…

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

96% match

Loading thumbnail…

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

96% match

Loading thumbnail…

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

95% match