Skip to main content
SimilarExport ZIP
100%

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

✓ Published0🌍 Public
SSaiipriiya
Last edited Mar 4, 2023
Created on Mar 4, 2023

This example shows a horizontal bar chart of office supply sales, displaying the top 15 items with their unit counts. The visualization uses React to manage the component state and render the SVG elements, while D3 provides the data-loading and scaling utilities, including `csv`, `scaleBand`, and `scaleLinear`. The data is fetched from a GitHub Gist URL, and the bars are drawn as SVG `<rect>` elements with custom tick marks and labels for both axes.

AI-generated description

A bare minimum HTML page.

MIT Licensed

Similar vizzes

Loading thumbnail…

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

This example visualizes office supply sales data as a horizontal bar chart showing units sold per sales representative. React component state manages the loaded data, while D3’s `scaleBand` and `scaleLinear` map sales values to bar widths. The code uses D3’s `csv` parser to fetch the dataset, then renders SVG rectangles and manual tick labels with gridlines, all within a React `svg` element. ReactDOM’s `render` method mounts the chart into the page’s root div.

SSaiipriiya
96% match
Loading thumbnail…

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

This example visualizes office supply sales by rendering a horizontal bar chart of units sold per sales representative, using a sample of 15 records from a CSV dataset. It shows the relationship between representative names on the y-axis and units on the x-axis, with blue gridlines and labeled axes. The chart is built by combining React 16.9 functional components with D3 v5 scales, including `scaleBand` and `scaleLinear`, using `csv`, `max`, and `format` from D3, while React manages state and renders SVG elements directly.

SSaiipriiya
95% match
Loading thumbnail…

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

This example displays a bar chart of office supply sales data for fifteen countries, with economic cost on the x-axis and country names on the y-axis. It combines React hooks (`useState`, `useEffect`) for data loading and D3 v5 utilities `csv`, `scaleBand`, and `scaleLinear` to fetch and scale the data, rendering bars and axis ticks as SVG elements. The visualization uses React’s declarative rendering to generate each rectangle and text label, with axes drawn manually via `scale.ticks()` and gridlines.

SSaiipriiya
94% match
Loading thumbnail…

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

This chart shows the number of units purchased by each of ten sales representatives as horizontal bars labeled with the representative’s name. The visualization uses React components to render an SVG scene, with D3’s `scaleBand` and `scaleLinear` mapping the categorical and quantitative data to pixel positions. Axis ticks and grid lines are generated manually from D3’s `xScale.ticks()` and `yScale.domain()`, while the data is loaded from a CSV file via `d3.csv`. The example demonstrates integrating React’s state management with D3’s scaling and layout utilities for declarative SVG rendering.

VVaishnavi6199
91% match
Loading thumbnail…

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

This interactive bar chart displays student statistics by area, using an SVG visualization rendered through React and D3. The chart loads data from a CSV file via `d3.csv`, then maps area names to horizontal bars using `d3.scaleBand` and `d3.scaleLinear` for axes. Tick marks and labels are generated with `d3.axisLeft` and `d3.axisBottom` equivalents, while React components manage the rendering pipeline. The visualization uses `d3.max` and `d3.format` for scaling and number formatting, with the top 15 records shown.

SSaiipriiya
91% match
Loading thumbnail…

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

A horizontal bar chart displays revenue per month for twelve products from a supermarket dataset, loaded via `d3.csv` from a GitHub Gist. React state and hooks manage the asynchronous data loading, while D3’s `scaleBand` and `scaleLinear` map product categories and revenue values to SVG rectangles. Axes and gridlines are manually rendered with D3’s `ticks` and positioned using SVG transforms, with React generating the markup for each element.

Ddivyakota99
90% 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
90% match
Loading thumbnail…

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

This bar chart displays student statistics by area for the top 15 entries, using horizontal bars where area names appear on the y-axis and numeric stats on the x-axis. The visualization is built with React and D3 v5, using `d3.csv` to load remote data and `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the quantitative x-axis. SVG rectangles represent the marks, with grid lines and tick labels generated via `d3.ticks()`. Data is pulled from a GitHub gist CSV, and the chart renders within a fixed 960x500 viewport with defined margins.

SSaiipriiya
90% match