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朱思嘉

@zhusijia·3 public vizzes

Fork of Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to dynamically select which flower measurements to display on the x- and y-axes via dropdown menus. Built with React and rendered as SVG, the chart plots species data points using `d3.scaleLinear` for scales and `d3.extent` for domains. The two dropdowns, implemented with `react-dropdown`, update the plot through React state, while `d3.csv` asynchronously loads the data. Axis components and marks are created using D3’s tick generation and SVG circle elements.

Jun 7, 2022

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Fork of Rendering Data with React & D3

This example renders a radial burst of CSS named colors, with each color occupying a wedge arranged in a circle. The visualization demonstrates how React manages the SVG rendering while D3 handles data loading and geometry. The code uses `d3.csv` to fetch the color dataset, `d3.pie` to compute angular extents, and `d3.arc` to generate the path shapes. Each wedge is filled using the color’s RGB hex value from the dataset. React’s `useState` and `useEffect` hooks coordinate asynchronous data loading, and the result is displayed as a full-circle pie chart without an inner radius.

May 11, 2022

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Fork of Let's Make a Face Part I

This example shows a simple smiley face constructed from three SVG circles: a large yellow face and two black eyes. The code uses raw SVG elements—`circle` tags with explicit `cx`, `cy`, `r`, `fill`, and `stroke` attributes—rendered directly in the browser. It sets the canvas to 960 by 500 pixels, positioning the face at the center with the eyes offset horizontally. No JavaScript libraries or data sources are involved; the visualization is purely static markup.

May 6, 2022