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

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

This example shows state sales data as a horizontal bar chart, ordered by descending sales values and rendered as SVG rectangles. The visualization combines React’s state management with D3 scales and axes, using `scaleBand` for the y-axis categories and `scaleLinear` for the x-axis values. It loads data from a CSV file via D3’s `csv` method, then constructs custom tick marks and labels for both axes. React’s `useState` and `useEffect` hooks manage the asynchronous data fetching, while the rendering loop maps each data entry to a `<rect>` element with computed width and height.

NNeeharikaGali

92% match

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.

90% match

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

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

This interactive bar chart visualizes product sales across 15 countries, encoding country names on the y-axis and sales values on the x-axis. Built with React and D3 v5, it uses `scaleBand` and `scaleLinear` for axes, rendered as SVG rectangles. Data loads from a CSV via `d3.csv`, with grid lines drawn from `xScale.ticks()`. The chart updates reactively using React state hooks, combining D3’s scaling and formatting utilities with React’s declarative component structure.

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

This example presents a horizontal bar chart of the top 10 most populous states, sourced from a CSV of 2019 population data. It demonstrates integrating React with D3, using React hooks for state management and D3’s `csv`, `scaleBand`, and `scaleLinear` to load data and compute scales. The SVG rendering maps population values to bar widths, with axes and tick labels generated manually via React components.

Ggayathri

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

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.

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

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.