Skip to main content
SimilarExport ZIP
100%

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

✓ Published0🌍 Public
Bblikitha
Last edited Mar 7, 2022
Created on Mar 7, 2022

This bar chart displays the top 20 countries by reported COVID-19 cases, using horizontal bars to compare values. The visualization loads CSV data via `d3.csv` and slices the first 20 rows, with React managing state and rendering SVG elements. Scales are created using `d3.scaleBand` for the y-axis and `d3.scaleLinear` for the x-axis, with axis ticks manually generated and mapped to React components. Each bar is drawn as a `rect` element, with the x-axis grid lines and tick labels rendered as SVG `line` and `text` elements.

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 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
97% match
Loading thumbnail…

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

This bar chart visualizes the top 20 countries by confirmed COVID-19 cases, using horizontal bars to compare population metrics. The visualization is built with React and D3 v5, leveraging `d3.csv` to load the dataset and `d3.scaleBand`/`d3.scaleLinear` for axis scaling. SVG elements are rendered declaratively through React, with `rect` marks for bars and text grids for tick labels, displaying both chart axes and data directly from the raw CSV file.

AArefa Patwary
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 COVID-19 cases, using data loaded from a CSV file via `d3.csv` and rendered with React and D3 v5. The visualization uses `scaleBand` for the y-axis, `scaleLinear` for the x-axis, and draws SVG `<rect>` elements for the bars with tick marks and labels generated from `xScale.ticks()`. The chart updates reactively from React state, with the data slice and parsing handled inside a `useEffect` hook.

Llikith1266
96% 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
95% match
Loading thumbnail…

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

This bar chart visualizes COVID-19 cases across the top 20 countries, using horizontal bars to compare case counts. The visualization is built with React and D3 v5, where React manages state and renders SVG elements while D3 scales handle data mapping. The code uses `d3.scaleBand` for the categorical y-axis, `d3.scaleLinear` for the quantitative x-axis, and `d3.csv` to load the dataset from a GitHub gist. Tick marks and axis labels are generated manually through React's array mapping rather than using D3's axis components.

SSamanvitha1
95% match
Loading thumbnail…

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

This bar chart visualizes COVID-19 cases across the top 20 countries, using horizontal bars to compare case counts. The visualization is built with React and D3 v5, where React manages state and renders SVG elements while D3 scales handle data mapping. The code uses `d3.scaleBand` for the categorical y-axis, `d3.scaleLinear` for the quantitative x-axis, and `d3.csv` to load the dataset from a GitHub gist. Tick marks and axis labels are generated manually through React's array mapping rather than using D3's axis components.

SSamanvitha1
95% 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 COVID-19 cases, using data from a CSV file loaded via `d3.csv`. The visualization maps country names to the y-axis with `d3.scaleBand` and case counts to the x-axis with `d3.scaleLinear`, rendering blue bars as SVG `<rect>` elements. The React component manages state with `useState` and `useEffect`, while D3 handles scaling and tick generation for both axes. The code demonstrates a hybrid approach where React renders marks and channels, and D3 provides the underlying scales and data processing.

KKolliTeja
95% 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 (from the "1/28/20" column of a CSV dataset) as a horizontal bar chart. Using React components with D3.js, it renders SVG rectangles whose widths are scaled by `d3.scaleLinear` against the maximum population value and positions the bars along a categorical `d3.scaleBand` axis for country names. D3’s `csv` loader fetches remote data, while axis ticks and labels are generated manually with `xScale.ticks()`. The chart is drawn within a 960×500 SVG canvas, with margins and inner plot dimensions defined by constants.

Sskambhore04
95% match