Skip to main content
100%

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

✓ Published0🌍 Public
KKiran3295
Last edited Mar 6, 2022
Created on Mar 6, 2022

This example shows a horizontal bar chart of best-selling car data from a CSV file, displaying the population values for different Toyota models. The chart uses React hooks (`useState`, `useEffect`) to load and manage the data, while D3 v5 functions (`csv`, `scaleBand`, `scaleLinear`, `max`) handle the data parsing and scaling. Bars are rendered as SVG `<rect>` elements, with grid lines and tick labels generated via `xScale.ticks()`.

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 bar chart displays the best-selling books data from a CSV file, showing book categories and their population values. The visualization uses React with hooks for state management and data loading via D3’s `csv` function, then renders bars as SVG rectangles using D3’s `scaleBand` and `scaleLinear` for axes and positioning. Tick marks, axis lines, and labels are manually generated in JSX, with D3’s `max` and `format` utilities supporting the scale domain calculations.

AArefa Patwary
90% match
Loading thumbnail…

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

This example shows the best-selling books data as a horizontal bar chart, with each bar’s length encoding the population value from the 1890 column of a CSV file. The visualization uses React components to render SVG marks, while D3’s `scaleBand` and `scaleLinear` compute the positional scales, and `csv` loads the dataset. Grid lines and axis ticks are generated manually from the scales, with bars styled via CSS. The chart updates reactively as data loads, demonstrating integration of React’s state management with D3’s data utilities.

SSrilekha24
89% match
Loading thumbnail…

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

This bar chart displays sales data for the top 11 best-selling books, sourced from a CSV file. The visualization uses `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis, rendering marks as SVG rectangles within a React `<svg>` element. The code imports specific D3 functions like `select`, `csv`, and `scaleLinear`, and employs React's `useState` and `useEffect` hooks to load and process the data before rendering.

RRohith arabati
88% match
Loading thumbnail…

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

This interactive bar chart displays top-selling car brands based on price data loaded from a CSV file. The visualization uses React for component structure and D3.js v7 for scaling and axis rendering. The code leverages `d3.csv`, `scaleBand`, `scaleLinear`, `axisBottom`, `axisLeft`, and SVG `rect` elements to draw bars. The chart renders in a browser with a title, showing each model's price on the y-axis and model names on the x-axis.

Mmanthenasirisha06@gmail.com
88% match
Loading thumbnail…

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

This example shows a horizontal bar chart of population data for 20 countries, rendered as SVG within a React component. It uses React hooks (`useState`, `useEffect`) to asynchronously load CSV data via `d3.csv`, then maps that data to visual marks manually with JSX. Axes are constructed using `d3.scaleBand` and `d3.scaleLinear`, while tick marks and labels are generated by iterating over `d3` scale domains and ticks. The chart highlights bars and gridlines with colored strokes, drawing from a remote GitHub-hosted dataset.

Pprachow
88% match
Loading thumbnail…

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

A bar chart displays the top 11 bestselling books by population, using D3 scales to map book names on the y-axis and population values on the x-axis. The React component loads CSV data via `d3.csv`, renders SVG rectangles for each bar, and draws axes with `scaleBand`, `scaleLinear`, and custom tick marks. Styling applies steelblue fills to the rects.

TTulluripallavi
87% match
Loading thumbnail…

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

This example shows the top 11 best-selling book categories using a horizontal bar chart, with bar lengths encoded by book sales and category names listed on the y-axis. The React component loads CSV data via D3’s `csv` method and renders SVG marks using JSX, while D3’s `scaleBand` and `scaleLinear` map categorical and numerical channels. Grid lines and tick labels are generated manually from `xScale.ticks()`, with bars styled through an external CSS file.

AArefa Patwary
87% match
Loading thumbnail…

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

A bar chart displays population data for the top 11 bestselling books, with each bar’s length encoded by population size and its position on the y-axis by book title. Built with React and D3 v5, the visualization uses `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and renders SVG `rect` marks. Data is loaded from a CSV file via `d3.csv`, while axes and gridlines are generated manually using `xScale.ticks()` and text elements.

TTulluripallavi
87% match