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

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

This example shows the top 10 most populous countries in 2019 as horizontal bars, using React and D3 to render SVG marks and channels. The data is loaded from a CSV via `d3.csv`, then visualized with `scaleBand` for the y-axis and `scaleLinear` for the x-axis. Axes are drawn manually with `xScale.ticks()`, while `rect` elements encode population values by length. The React component uses `useState` and `useEffect` to fetch and manage the data asynchronously.

Hhailiwang@my.unt.edu

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

This visualization shows a horizontal bar chart comparing the acceleration capacity of 20 cars, rendered as SVG marks within a React application. The code uses React’s `useState` and `useEffect` hooks to asynchronously load CSV data from a GitHub gist via D3’s `csv` function, then maps it to a linear x-scale (`d3.scaleLinear`) and a band y-scale (`d3.scaleBand`) for car names. Custom tick marks and labels are drawn manually using D3’s `scaleBand` and `scaleLinear`, with blue gridlines and text elements, all within a single `<svg>` container managed by ReactDOM.

Sshiiva-surya

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

This example visualizes the horsepower of ten cars from a CSV dataset as horizontal bars, using React components to render SVG marks and channels. The code employs `d3.csv` for data loading, `scaleBand` and `scaleLinear` for positioning, and manual axis construction with `xScale.ticks()`. React’s `useState` and `useEffect` manage asynchronous data fetching, while SVG `<rect>` elements encode values through width. D3’s `max` and `format` utilities support scaling, with axes drawn as custom React elements rather than D3 axis generators.

CChaitanya Galla

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

This example visualizes the top fifteen countries by their 2022 population as horizontal bars, with each bar’s length encoding population magnitude. Built with React and D3 v5, the code uses `d3.scaleBand` for the categorical y-axis, `d3.scaleLinear` for the numeric x-axis, and renders SVG `<rect>` marks directly in React’s JSX. Data is loaded from a CSV via `d3.csv`, and axes are drawn manually with `d3.scaleLinear.ticks` and tick text elements.

Ssivamani

ICE-6: Rendering Marks and channels with Rect & D3

This example visualizes the top 10 profit countries using a horizontal bar chart rendered as SVG in a React application. It displays country names on the y-axis and profit sales on the x-axis, with blue tick lines and axis labels. The code loads data from a CSV file using `d3.csv`, then uses `d3.scaleBand` and `d3.scaleLinear` to map values to `rect` marks. React manages the state and rendering, while D3 v7 handles data parsing and scales, with axes and bars drawn manually.

Mmanvithareddykarra

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

This example uses React and D3 v5 to render a horizontal bar chart of basic costs for 15 countries from a CSV dataset. It shows categorical marks as SVG rectangles positioned by a D3 `scaleBand` and `scaleLinear`, with axes drawn manually using gridlines and tick labels. The code imports D3 functions like `csv`, `scaleBand`, `scaleLinear`, and `max` within a React component, using hooks such as `useState` and `useEffect` to load data. All marks and channels are rendered declaratively as SVG elements.

Kkarumanchimanasa

ICE-6: Rendering Marks and Channels (Bar Chart)

This example renders a horizontal bar chart using React and D3 v5, displaying the 2022 population for three countries from a CSV dataset. The visualization uses SVG marks and channels, with `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. React state manages the asynchronous CSV loading via D3’s `csv` function, while the code manually draws axis ticks, gridlines, and colored rectangles. The chart includes a purple vertical grid and labeled axes, with data filtered to the first three rows of the source CSV.

Ggeethikal

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

This visualization displays the ten most populous countries as horizontal bars on an SVG canvas, with each bar’s length encoding the population value. Built with React and D3 v5, the code uses `d3.csv` to load data from a remote GitHub Gist, `d3.scaleBand` for the categorical country axis, and `d3.scaleLinear` for the numeric population scale. The bars are rendered as SVG `rect` elements, each assigned a unique color via CSS `nth-of-type` selectors, with tick marks and labels generated using D3’s scale methods.

SSomu1433