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

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

This bar chart visualizes the top 10 most populous countries in 2019. It uses React with D3.js (v5) to render SVG marks and channels, importing functions like `scaleBand`, `scaleLinear`, `max`, and `csv` directly from the D3 library. The data is loaded from a CSV file and processed in a React `useEffect` hook, with the chart updated through React state. The visualization includes custom grid lines and axis labels, with the title displayed in the HTML body.

Sshabbab01

BBajiSharifPatan@my.unt.edu

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.

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, using React and D3 v5. The code fetches CSV data from a GitHub gist and renders SVG marks with React components, while D3’s `scaleBand`, `scaleLinear`, `csv`, and `max` handle data loading and scaling. Axes are drawn manually from `xScale.ticks()` and y-scale domains, with bars encoded by rectangular marks. The React `useState` and `useEffect` hooks manage asynchronous data loading before rendering the chart.

SSheshidharreddy

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

SSheshidharreddy

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

This example displays a horizontal bar chart of the top 10 most populous countries, with bars sized by population for 2019. It renders SVG marks using React, with D3’s `scaleBand` and `scaleLinear` to map country names and population values to positions and sizes. The chart’s axes are drawn with D3’s `axisBottom` and `axisLeft`, while data is loaded via `d3.csv` from a provided URL. The visualization demonstrates how React components can declaratively structure SVG elements, with D3 handling scales and data formatting.

NNarayana

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

This visualization is a React application that displays a horizontal bar chart of the top 10 most populous countries. The chart uses D3.js version 5 to load CSV data, and scales the bar lengths according to each country's population. The React component renders SVG elements, creating bars with lengths proportional to the values, and uses D3's `scaleBand` and `scaleLinear` for positioning and scaling. It includes axis tick marks and labels generated with D3's `ticks` function.

Ppreethamkesa

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

This example displays a horizontal bar chart of the top 10 most populous countries in 2019, sourced from a CSV file. The visualization renders the chart as an SVG, using React for component structure and state management, while D3 v5 utilities like `scaleBand`, `scaleLinear`, and `csv` handle data loading and scaling. The code draws axis ticks and labels directly, alongside the bars, within a single SVG `<g>` element.

SSrilekha24

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

This interactive bar chart displays the top 10 most populous countries using data loaded from a CSV file. The visualization uses React to render SVG marks, with D3’s `scaleBand` and `scaleLinear` mapping countries to horizontal bars and population values to their lengths. Grid lines, tick labels, and axis text are generated manually via D3 scales, while React’s `useEffect` and `useState` handle asynchronous data fetching and state management.

Mmanvithareddykarra