Skip to main content
SimilarExport ZIP
100%

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

✓ Published0🌍 Public
BBajiSharifPatan@my.unt.edu
Last edited Mar 6, 2022
Created on Mar 6, 2022

This example visualizes the top 9 nuclear-armed countries by their 2020 warhead counts using a horizontal bar chart. It employs React and D3.js v5 to render SVG marks and channels, with a green color scheme and red bars, and includes axis ticks and labels. The data is loaded from a CSV file using `d3.csv`, and the scales are created with `scaleBand` and `scaleLinear`. The chart displays a title and country names along the categorical axis, with the numeric axis representing the nuclear weapon counts.

AI-generated description

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

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

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

This example visualizes the most nuclear-using countries in 2020 as a horizontal bar chart, with country names on the y-axis and nuclear values on the x-axis. It uses React to manage state and render the SVG, while D3.js v5 handles data loading and scaling. The code specifically employs `scaleBand`, `scaleLinear`, and `csv` from D3 to parse and map data, with custom axis ticks drawn manually. React's `useEffect` and `useState` hooks load and store the data, which comes from a CSV file hosted on GitHub.

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

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

This visualization displays the top 10 countries by nuclear energy usage, rendered as a horizontal bar chart using React and D3 v5. The React component manages state with useState and useEffect, while D3’s scaleBand and scaleLinear compute the bar positions and widths from CSV data loaded via d3.csv. SVG rectangles encode each country’s nuclear value, with axes and grid lines drawn manually using D3’s tick methods and React’s JSX syntax.

BBajiSharifPatan@my.unt.edu
93% match
Loading thumbnail…

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

This visualization displays a horizontal bar chart ranking the top 10 most populous countries based on 1990 nuclear energy data. The chart uses SVG rendering within a React component, leveraging d3.scaleBand for the categorical y-axis and d3.scaleLinear for the quantitative x-axis. Data is loaded asynchronously via d3.csv from a GitHub gist, with the first nine rows selected for display. The code manually constructs gridlines, tick labels, and rectangles rather than using d3.axisBottom or d3.axisLeft, demonstrating explicit mark and channel creation.

BBajiSharifPatan@my.unt.edu
90% match
Loading thumbnail…

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

This visualization presents a horizontal bar chart of the top 10 most populous countries based on their nuclear energy usage in 1980, sourced from a CSV file. The chart uses D3 scales (scaleBand and scaleLinear) to map country names and usage values to SVG rectangles. React manages the component state and rendering, while D3’s csv function loads and parses the data. The SVG output includes custom grid lines, tick labels, and styled marks.

BBajiSharifPatan@my.unt.edu
90% match
Loading thumbnail…

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

This horizontal bar chart displays the crime index for fifteen countries in 2020, with bars sorted by country name. Using the React framework, the example integrates D3’s `scaleBand` and `scaleLinear` to map categorical and quantitative data, while rendering SVG rectangles for bars and axes via `axisLeft` and `axisBottom` logic. Data is loaded asynchronously from a CSV file using D3’s `csv` function, and the visualization updates upon fetching the top 15 entries.

Bbhanuprasadk19
87% match
Loading thumbnail…

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

This example shows the top 10 most populous countries in 2019 as horizontal bars, using React and D3 to render SVG marks and channels. The data is loaded from a CSV via `d3.csv`, then visualized with `scaleBand` for the y-axis and `scaleLinear` for the x-axis. Axes are drawn manually with `xScale.ticks()`, while `rect` elements encode population values by length. The React component uses `useState` and `useEffect` to fetch and manage the data asynchronously.

Hhailiwang@my.unt.edu
87% 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
87% 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
86% match