Skip to main content
SimilarExport ZIP
100%

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

✓ Published0🌍 Public
SSamanvitha1
Last edited Jun 26, 2022
Created on Jun 26, 2022

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.

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 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
100% match
Loading thumbnail…

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

This bar chart displays COVID-19 case counts for the top 20 countries, ranked by their reported infections on January 28, 2020. Using React with D3 v5, the visualization renders SVG rectangles scaled by population data from a CSV file, with D3’s `scaleBand` and `scaleLinear` mapping country names and case values. Axis ticks and labels are generated manually via `.map()` and React elements, while the data is loaded asynchronously with `d3.csv`. The chart shows a horizontal bar layout with green rectangles and red gridlines, highlighting comparative case volumes across countries at that early pandemic date.

SSamanvitha1
97% 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 length as a visual channel to encode the number of reported cases on a given date. The chart is built with React components that render SVG elements, while D3’s `d3.csv`, `scaleBand`, and `scaleLinear` handle data loading and scaling. Axes are manually constructed by mapping tick values to SVG lines and text labels. The data comes from a remote CSV file containing daily case numbers per country.

SSamanvitha1
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
95% match
Loading thumbnail…

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

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.

Bblikitha
95% 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
95% 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 the first 20 countries from a COVID-19 dataset, displaying confirmed cases as horizontal bars on a green SVG canvas. It uses React with D3.js v5, employing `d3.scaleBand` for the categorical country axis and `d3.scaleLinear` for the numeric case counts. The chart renders axes using D3's `ticks()` method and maps each country to a `rect` element positioned via the scales. The visualization demonstrates how to combine React's declarative component structure with D3's quantitative scales to build an interactive-free chart.

Rrmgoldberg24
95% match