Skip to main content
SimilarExport ZIP
100%

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

✓ Published1🌍 Public
AArefa Patwary
Last edited Mar 7, 2022
Created on Mar 7, 2022

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.

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
95% 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
93% 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
92% match
Loading thumbnail…

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

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.

Mmandalasaikrishna007
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
91% match
Loading thumbnail…

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

This visualization presents a horizontal bar chart of bestselling books information, ranking eleven items by population metrics from an external CSV dataset. Built with React and D3 v5, the chart uses `scaleBand` and `scaleLinear` to map categorical labels and numeric values to SVG rectangles. The code leverages React hooks (`useState`, `useEffect`) for data loading and rendering, while D3 utilities handle CSV parsing, scales, axes, and tick generation. The SVG output includes orange gridlines and labeled axes, with steelblue bars sized proportionally to each entry's population value.

AArefa Patwary
91% match
Loading thumbnail…

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

This bar chart displays the top 11 bookselling categories by population in 1890, sourced from a CSV file. The code uses React hooks to load data with `d3.csv` and renders SVG marks with `scaleBand` and `scaleLinear`. Gridlines and tick labels are manually generated from the scales, while orange vertical lines and steelblue rectangles encode the values.

Kkalyanikotha
91% 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
91% match