Skip to main content
SimilarExport ZIP
100%

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

✓ Published0🌍 Public
SSheshidharreddy
Last edited Mar 8, 2022
Created on Mar 8, 2022

This visualization displays COVID-19 case counts for the top 20 countries using horizontal bars rendered as SVG rectangles. The chart maps country names along the y-axis with a D3 scaleBand and case numbers along the x-axis with a scaleLinear. React manages the component state and lifecycle, fetching CSV data from a GitHub gist via d3.csv. Axes are manually constructed by mapping over tick values to generate line and text elements. The bars are colored green through CSS, with red gridlines marking x-axis tick positions.

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 COVID-19 case counts for the top 20 countries using horizontal bars rendered as SVG rectangles. The chart maps country names along the y-axis with a D3 scaleBand and case numbers along the x-axis with a scaleLinear. React manages the component state and lifecycle, fetching CSV data from a GitHub gist via d3.csv. Axes are manually constructed by mapping over tick values to generate line and text elements. The bars are colored green through CSS, with red gridlines marking x-axis tick positions.

SSheshidharreddy
100% match
Loading thumbnail…

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

This example displays a horizontal bar chart of COVID-19 case counts for 20 countries using React and D3 v5. The visualization maps each country to a green rectangle, with bar lengths proportional to population values fetched from a remote CSV file. It uses `d3.csv` for data loading, `scaleBand` and `scaleLinear` for positioning, and renders gridlines with axis ticks directly as SVG elements. The React component manages data state with `useState` and `useEffect`, while D3 handles scaling and tick generation.

SSheshidharreddy
96% match
Loading thumbnail…

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

This example shows a bar chart of COVID-19 case counts for the top 20 countries, using the d3.csv loader to fetch data and React hooks (useState, useEffect) to manage asynchronous loading. It renders an SVG with green rectangles scaled by d3.scaleLinear for the x-axis and d3.scaleBand for the y-axis. The code also manually generates axis ticks and labels using d3.ticks and inline SVG elements, avoiding higher-level axis components. The visualization updates its dimensions through computed innerHeight and innerWidth margins.

SSheshidharreddy
96% match
Loading thumbnail…

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

This visualization displays a horizontal bar chart of COVID-19 case counts for the top 20 countries, using a bar length to encode population values. The chart is built with React and D3 v5, where D3’s `scaleBand` and `scaleLinear` define the y- and x-axes, and React renders SVG `rect` marks for each bar with gridlines and tick labels. Data is loaded from a CSV file via `d3.csv`, with numeric parsing applied to the case count column.

Bblikitha
94% match
Loading thumbnail…

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

This example shows a horizontal bar chart of COVID-19 case counts for 20 countries, using SVG marks rendered through React components. It combines React state management with D3 scales (`d3.scaleBand`, `d3.scaleLinear`) to position rectangles and axes. The code fetches CSV data from a GitHub gist, maps values with `d3.csv`, and manually draws tick lines and labels using JSX rather than D3 axis generators.

Vvegurusaiprathyusha
94% match
Loading thumbnail…

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

This example shows a horizontal bar chart of COVID-19 case counts for 20 countries, using SVG marks rendered through React components. It combines React state management with D3 scales (`d3.scaleBand`, `d3.scaleLinear`) to position rectangles and axes. The code fetches CSV data from a GitHub gist, maps values with `d3.csv`, and manually draws tick lines and labels using JSX rather than D3 axis generators.

Vvegurusaiprathyusha
94% match
Loading thumbnail…

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

This visualization displays the top 20 countries by COVID-19 case counts using a horizontal bar chart rendered as SVG marks within a React component. The code uses React’s `useState` and `useEffect` hooks to load and parse CSV data via `d3.csv`, with `scaleBand` and `scaleLinear` mapping country names and case numbers to pixel positions. Axis ticks and gridlines are generated manually by iterating over `xScale.ticks()` and the band domain, while each bar’s width derives from the numeric value. The example demonstrates combining D3’s scales and data loading with React’s declarative element creation.

Aaashrithd4
94% match
Loading thumbnail…

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

This example shows a horizontal bar chart of COVID-19 cases by country, displaying the top 20 countries based on population. The visualization uses React to manage state and render SVG elements, while D3 v5 handles data loading via `d3.csv` and scales with `d3.scaleBand` for the y-axis and `d3.scaleLinear` for the x-axis. The chart renders tick marks, labels, and rectangular bars directly as JSX components, with data sourced from a CSV file hosted on GitHub.

MM
94% match