Skip to main content
SimilarExport ZIP
100%

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

✓ Published1🌍 Public
BBajiSharifPatan@my.unt.edu
Last edited Mar 6, 2022
Created on Mar 6, 2022

This visualization displays the top 10 most populous countries in 2019 as horizontal bars, with country names on the y-axis and population values on the x-axis. The chart is built using React and D3, leveraging `scaleBand`, `scaleLinear`, and `max` from d3.v5 to compute scales and domains from CSV data. SVG rectangles render the bars, with custom tick labels and gridlines drawn manually through JSX. Data is loaded asynchronously via `csv` from a GitHub gist URL.

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 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
98% match
Loading thumbnail…

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

This visualization shows the top 10 most populous countries in 2019 using horizontal bar marks, with country names on the y-axis and population values on the x-axis. The bars are rendered as SVG rectangles, with blue grid lines and tick labels generated from the linear scale. The code uses React hooks (`useState`, `useEffect`) to load and transform CSV data via `d3.csv`, then creates scales with `d3.scaleBand` and `d3.scaleLinear`. Axes and ticks are manually positioned using React elements rather than D3 axis components, combining React's declarative rendering with D3's data manipulation and scaling utilities.

JJyothicherukuri
97% 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
97% match
Loading thumbnail…

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

This bar chart shows the top 10 most populous countries in 2019, with each bar's length proportional to the country's population. The visualization is rendered as an SVG using React and D3 v5, with D3's `scaleBand` and `scaleLinear` functions mapping country names and population values to screen coordinates. The chart includes labeled axes for population counts and country names. Data is loaded asynchronously from a CSV file using D3's `csv` function, and the top 10 rows are displayed after sorting.

Eeravellisaimeghana
96% match
Loading thumbnail…

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

This bar chart shows the top 10 most populous countries in 2019, with each bar's length proportional to the country's population. The visualization is rendered as an SVG using React and D3 v5, with D3's `scaleBand` and `scaleLinear` functions mapping country names and population values to screen coordinates. The chart includes labeled axes for population counts and country names. Data is loaded asynchronously from a CSV file using D3's `csv` function, and the top 10 rows are displayed after sorting.

Eeravellisaimeghana
96% match
Loading thumbnail…

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

This bar chart displays the top 10 most populous countries for 2019, sourced from a CSV file loaded via d3.csv. Built with React and D3 v5, the visualization maps country names to a d3.scaleBand y-axis and population values to a d3.scaleLinear x-axis, rendering SVG rectangles for each data mark. Axis ticks and labels are generated manually using React components, while d3.axisBottom and d3.axisLeft are imported but not directly used in the rendered output. The chart updates reactively once the data loads.

SSanchay
96% 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
96% match
Loading thumbnail…

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

This bar chart displays the top 10 most populous countries for 2019, using horizontal bars to encode population size. The visualization is built with React and D3 v5, where React manages the component state and rendering of SVG elements while D3’s `csv`, `scaleBand`, and `scaleLinear` handle data loading and scaling. Axes are manually rendered as SVG groups with tick marks, and the data originates from a GitHub-hosted CSV file.

Ppreethamkesa
96% match