Skip to main content
SimilarExport ZIP
100%

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

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

This horizontal bar chart displays the ten countries with the highest populations, using bar length to encode population size and the y-axis to list country names. Built with React and D3.js, the visualization loads CSV data from a GitHub gist, then uses D3's `scaleBand` and `scaleLinear` to map data to SVG rectangles. The chart includes grid lines and axis tick labels generated from D3's scale methods, with a title indicating the data represents the highest population figures.

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

This visualization displays the ten most populous countries, using a horizontal bar chart where bar length encodes the 2019 population figures. The chart loads data from a CSV file hosted on GitHub, parsing the population column numerically. The visualization is built with React and D3 version 5, leveraging `d3.scaleBand` for the categorical y-axis, `d3.scaleLinear` for the quantitative x-axis, and SVG `rect` elements for the bars. Axis ticks are generated and rendered manually, with axis lines and labels positioned using SVG transforms. The chart includes a title, "highest population," and focuses on rendering marks and channels through code.

Ssaiteja0725
96% match
Loading thumbnail…

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

This visualization displays a horizontal bar chart of the top ten countries by population for 2019, with a title indicating the highest population. The bars are rendered as SVG rectangles, with axes drawn using D3’s scaleBand and scaleLinear. The app is built with React, using hooks like useState and useEffect to fetch and process CSV data via d3.csv. Axes ticks and labels are manually generated from the scales, avoiding d3.axisLeft or axisBottom.

DDivyaVellanki
96% match
Loading thumbnail…

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

A horizontal bar chart displays the ten most populous countries, with bar lengths proportional to 2015 population values. Built with React and D3 v5, the visualization renders as SVG, using d3.scaleBand for the categorical y-axis, d3.scaleLinear for the quantitative x-axis, and d3.max to compute the scale domain. Data loads asynchronously from a CSV file via d3.csv, with the top ten rows selected for display.

SSreekarveeravelly
95% match
Loading thumbnail…

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

This visualization presents a horizontal bar chart of the ten most populous countries, sorted by their 2019 population values. The chart uses React to manage state and render SVG marks, while D3 provides the scales and data processing. Specifically, the code employs `d3.csv` to load data from a remote URL, `d3.scaleBand` for the y-axis positioning, and `d3.scaleLinear` for the x-axis magnitude. Rectangles are drawn with widths proportional to population, and axes are generated using D3’s tick and label mappings.

KKeerthipriyaBankuru
95% match
Loading thumbnail…

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

This visualization displays a horizontal bar chart of the ten most populous countries, using population data from 2019 loaded via `d3.csv`. The chart renders as SVG elements, with blue `rect` marks representing each country's population and custom axis ticks generated through `scaleLinear` and `scaleBand`. The code integrates React hooks (`useState`, `useEffect`) with D3 v5 utilities, using `d3.max` for scaling, while manually constructing the axes and gridlines within the JSX structure.

Bbindhureddy98
95% match
Loading thumbnail…

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

A horizontal bar chart displays the top 10 most populous countries for 2019, with country names on the y-axis and population values on the x-axis. The visualization is built using React for component structure and D3.js for data processing and SVG rendering. It fetches CSV data from a remote source, maps population values, and uses D3's `scaleBand` and `scaleLinear` for axes and bar positioning. D3's `csv` function loads the data, which is then rendered as SVG rectangles within a React SVG element.

Ppreethamkesa
95% match
Loading thumbnail…

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

This example shows a horizontal bar chart of the ten most populous countries, using population data from 2019 loaded from a CSV file. The chart is built with React and D3 v5, rendering SVG marks for bars and text labels. It uses `scaleBand` for the y-axis, `scaleLinear` for the x-axis, and `csv` to parse the data, with bars colored steelblue and axis ticks drawn manually.

Bbindhureddy98
95% match
Loading thumbnail…

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

This bar chart displays the top 10 most populous countries using data from a CSV file. The visualization renders SVG rectangles with countries on the y-axis and population on the x-axis, using scales from d3-scale and React components for markup. The code loads data with d3.csv, applies a linear scale for population and a band scale for countries, then manually renders grid lines and axis labels inside a React SVG.

BBajiSharifPatan@my.unt.edu
95% match