Skip to main content
SimilarExport ZIP
100%

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

✓ Published0🌍 Public
Mmandalasaikrishna007
Last edited Mar 7, 2022
Created on Mar 7, 2022

This example shows a horizontal bar chart of the top 10 novelists ranked by their book counts, using React to render SVG marks and D3 scales to map data to positions. The code loads CSV data with `d3.csv`, slices it to 10 entries, and uses `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the quantitative x-axis. Blue gridlines and tick labels are generated manually via `.ticks()` and `.domain()`. React state and effects (`useState`, `useEffect`) manage asynchronous data loading and re-rendering.

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 example visualizes the number of books written by nine popular novelists using a horizontal bar chart. It loads data from a CSV file and renders the chart with React components, while D3’s `scaleBand` and `scaleLinear` compute the bar positions and sizes. The code uses React’s `useState` and `useEffect` hooks to fetch the data asynchronously, then maps the loaded values to SVG `<rect>` marks and axis tick labels drawn with `<line>` and `<text>` elements. D3’s `d3.csv` handles parsing, and the chart is rendered inside an SVG container.

RRahulChaitu999
92% 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
91% 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
91% 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
90% match
Loading thumbnail…

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

This example shows a horizontal bar chart ranking the top 10 most populous countries, with country names on the y-axis and population values on the x-axis. The chart loads data from a CSV file using `d3.csv`, sorts and slices the data to the first ten rows, and renders SVG rectangles whose widths are scaled using `d3.scaleLinear`. React manages the component state via `useState` and `useEffect`, while D3 provides the scales, axes, and tick formatting. The visualization demonstrates how React and D3 can be combined to render marks and channels declaratively.

SSnigdha6698
90% 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
90% match
Loading thumbnail…

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

This example shows a horizontal bar chart of the top 15 Netflix movies by score, with red gridlines and labeled axes. It uses React to manage state and render the SVG, while D3 v5’s `csv`, `scaleBand`, `scaleLinear`, and `max` functions handle data loading and scaling. The code builds custom axis ticks and rectangles instead of using D3’s axis generators, and the raw data comes from a gist-hosted CSV file. The chart updates when new data is fetched via the `useEffect` hook.

SSravaniPosina
90% match
Loading thumbnail…

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

This example shows a horizontal bar chart of anime ratings using a bar mark for each entry, with the x-axis encoding numeric values and the y-axis encoding categorical names. The visualization renders as SVG using React components for marks and channels, while D3’s `scaleBand` and `scaleLinear` compute the positions and sizes. Data loads from a CSV file via `d3.csv`, and the chart includes axis ticks and labels drawn manually with SVG elements. The code demonstrates a hybrid approach where React manages the DOM and D3 handles scales and data parsing.

LLakshmiVandanaNunna
90% match