Skip to main content
SimilarExport ZIP
100%

Fork of Fork of ICE-6: Rendering Marks and Channels with React & D3

✓ Published1🌍 Public
SSanchay
Last edited Mar 1, 2022
Created on Mar 1, 2022

This example presents a horizontal bar chart of the top 10 most populous countries, using population data from a CSV file. The chart is built with React and D3 v5, rendering SVG elements directly. The code uses `scaleBand` for the categorical country axis and `scaleLinear` for the population values, with axes manually constructed via tick maps. Bars are drawn as `rect` elements within a translated group, with labels for both axes generated from the scales’ domains.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Fork of Fork of ICE-6: Rendering Marks and Channels with React & D3

This example visualizes the top 10 most populous countries using a horizontal bar chart. It renders SVG marks with React, using D3’s `scaleBand` and `scaleLinear` to map country names and population values to positions, with axes and tick labels drawn manually. Data is loaded from a CSV via `csv` and parsed with a row function. The code uses React hooks (`useState`, `useEffect`) and D3 utilities like `max` and `format`.

SSanchay
97% match
Loading thumbnail…

Fork of Fork of ICE-6: Rendering Marks and Channels with React & D3

This example shows a horizontal bar chart of the ten most populous countries, using population data from 2019 loaded from a CSV file. The chart is built with React and D3 v5, rendering SVG marks for bars and text labels. It uses `scaleBand` for the y-axis, `scaleLinear` for the x-axis, and `csv` to parse the data, with bars colored steelblue and axis ticks drawn manually.

Bbindhureddy98
97% match
Loading thumbnail…

Fork of ICE-6: Rendering Marks and Channels with React & D3

This example shows a horizontal bar chart of the top 10 most populous countries, using population data from a CSV file. The chart is built with React components that render SVG elements, with D3 scales and axes from `d3.scaleBand`, `d3.scaleLinear`, and `d3.max` handling the layout. A loading state is displayed until the data is fetched via `d3.csv`. The visualization demonstrates how React manages the DOM while D3 provides the data-driven mapping and axis generation.

SSnapika
96% match
Loading thumbnail…

Fork of ICE-6: Rendering Marks and Channels with React & D3

This example displays a horizontal bar chart of the top 10 most populous countries, with bars sized by population for 2019. It renders SVG marks using React, with D3’s `scaleBand` and `scaleLinear` to map country names and population values to positions and sizes. The chart’s axes are drawn with D3’s `axisBottom` and `axisLeft`, while data is loaded via `d3.csv` from a provided URL. The visualization demonstrates how React components can declaratively structure SVG elements, with D3 handling scales and data formatting.

NNarayana
96% match
Loading thumbnail…

Fork of ICE-6: Rendering Marks and Channels with React & D3

A horizontal bar chart displays the top 10 most populous countries, with population values from a CSV file loaded via `d3.csv`. The chart uses `scaleBand` and `scaleLinear` from D3 to map countries and populations, while React manages the component state and rendering. SVG elements for rectangles, axes, and tick labels are generated declaratively through React's JSX, with grid lines and text labels drawn directly from D3's scale ticks.

Ssumitradevipolina
96% match
Loading thumbnail…

Fork of ICE-6: Rendering Marks and Channels with React & D3

This example displays a horizontal bar chart of the top 10 most populous countries in 2019, using population data loaded from a CSV file. The visualization is built with React and D3 v5, rendering SVG marks (rectangles) and channels (position and length) to encode the data values. It uses `scaleBand` and `scaleLinear` for axes, along with manual tick rendering and axis labels, all within a React component that fetches data with `csv`.

Ssai snehith nadipally
96% match
Loading thumbnail…

Fork of ICE-6: Rendering Marks and Channels with React & D3

This example shows a horizontal bar chart of the top 20 countries by population, using React to render SVG marks and D3 to compute scales and tick values. The component fetches CSV data from a GitHub gist, parses population values, and maps countries to a band scale along the y-axis and population to a linear scale on the x-axis. The visualization displays gridlines, axis labels, and rectangles for each country, with d3.csv for loading and d3.scaleBand and d3.scaleLinear for positioning.

Bbindhureddy98
95% match
Loading thumbnail…

Fork of Fork of Fork of ICE-6: Rendering Marks and Channels with React & D3

A horizontal bar chart displays the population of the top 10 most populous countries in 2019, drawn as SVG rectangles within a React component. The code uses React hooks (`useState`, `useEffect`) to load data from a CSV via `d3.csv`, then scales it with `d3.scaleBand` and `d3.scaleLinear`. Custom tick marks and grid lines are rendered manually with SVG elements, and bars are positioned using the scales' domains and ranges.

BBajiSharifPatan@my.unt.edu
95% match