Skip to main content
SimilarExport ZIP
100%

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

✓ Published0🌍 Public
SSalman Chowdhury
Last edited Mar 6, 2022
Created on Mar 6, 2022

This visualization displays the top 10 most populous countries in 2019 as a horizontal bar chart. It uses a React app that fetches data from a CSV file and passes it through D3’s scale functions (`scaleBand`, `scaleLinear`) to map categories and values to screen coordinates. The chart is rendered as SVG, with axes drawn using custom ticks and lines, and bars as `rect` elements. The code imports specific D3 utilities like `csv`, `max`, and `format`.

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

This visualization displays the top 10 most populous countries for 2019 as a horizontal bar chart. It uses React with the D3 v5 library, leveraging `d3.csv` to load the data and `d3.scaleBand` and `d3.scaleLinear` to map country names and population values to positions in an SVG canvas. The chart renders grid lines, tick labels, and bars using React’s declarative syntax.

Ssalimjivani
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 an SVG rendering approach. The chart uses a categorical color scale for the bars and labels each country along the y-axis, with population values on the x-axis. The code imports and uses React components such as `useState` and `useEffect`, and leverages D3 functions including `csv`, `scaleBand`, `scaleLinear`, and `max`. The data is loaded from a GitHub Gist CSV file, and the chart is rendered entirely through SVG elements created in a React component.

SSalman Chowdhury
96% match
Loading thumbnail…

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

This visualization displays the top 10 most populous countries in 2019 as a horizontal bar chart, retrieved from a CSV dataset. Using React for component structure and D3 v5 for data processing and scales, it renders SVG marks for the bars with axes and labels. The code employs `d3.csv` for loading data, `d3.scaleBand` and `d3.scaleLinear` for positioning, and maps data to rectangles within an SVG group.

BBajiSharifPatan@my.unt.edu
95% match
Loading thumbnail…

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

This visualization displays the top 10 most populous countries in 2019 as horizontal bars, with country names on the y-axis and population values on the x-axis. The chart is built using React and D3, leveraging `scaleBand`, `scaleLinear`, and `max` from d3.v5 to compute scales and domains from CSV data. SVG rectangles render the bars, with custom tick labels and gridlines drawn manually through JSX. Data is loaded asynchronously via `csv` from a GitHub gist URL.

BBajiSharifPatan@my.unt.edu
94% match
Loading thumbnail…

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

This visualization displays a horizontal bar chart of the top 10 most populous countries in 2019. The React component uses D3 scales (`d3.scaleBand` and `d3.scaleLinear`) to position bars and axes, rendering SVG marks directly with React elements. Data is loaded asynchronously from a CSV via `d3.csv`. The chart includes custom axes with tick labels and gridlines, all styled through inline SVG attributes.

Sshabbab01
94% match
Loading thumbnail…

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

This example visualizes the top 10 most populous countries in 2020 using a horizontal bar chart rendered as SVG. It loads medal data from a CSV via `d3.csv`, slices the first 10 rows, and uses `scaleBand` for the y-axis and `scaleLinear` for the x-axis to map country names and population values. The React app manages data with `useState` and `useEffect`, while custom tick labels and grid lines are generated manually with D3 scales instead of using `axisLeft` or `axisBottom`. Bars are drawn as `<rect>` elements inside a translated `<g>` group.

Nnagamaheswar
94% 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
94% match
Loading thumbnail…

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

This bar chart displays the top 10 most populous countries for 2019, using horizontal bars to encode population size. The visualization is built with React and D3 v5, where React manages the component state and rendering of SVG elements while D3’s `csv`, `scaleBand`, and `scaleLinear` handle data loading and scaling. Axes are manually rendered as SVG groups with tick marks, and the data originates from a GitHub-hosted CSV file.

Ppreethamkesa
94% match