YU

@105021222·3 public vizzes

Data Visualization and Visual Analytics HW1

This interactive scatterplot visualizes the Iris flower dataset, letting users explore relationships between sepal and petal measurements. Two dropdown menus dynamically select which attribute appears on the X and Y axes, while points are color-coded by species. The visualization uses React for state management and dropdown controls, with D3 v5 scales and SVG rendering for the axes, ticks, and colored circles. The data loads from a CSV via d3.csv, and axis labels update based on the selected attributes.

Sep 28, 2022

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Fork of Shapes and Colors with SVG and CSS

This example demonstrates basic SVG shapes—circles, rectangles, lines, and a polyline—styled with CSS classes and inline attributes. It uses SVG elements directly in the HTML, with a `<g>` group applying a scale transform and another group applying a translation and shared fill and stroke properties. The CSS defines stroke colors, widths, and line join/cap styles for the `.lines` class and its path. No external libraries are used; rendering relies entirely on native SVG and CSS.

Sep 26, 2022

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Fork of Hello VizHub

This example demonstrates a minimal D3.js visualization that displays the text "Hello VizHub!" in the center of the page. It shows how an HTML page can load D3 from a CDN and use ES6 modules to structure code. The `index.js` file imports the `select` function from D3 and the `message` constant from a local `myMessage.js` module, then uses `select('#message').text()` to update the DOM. Styling is applied through an external CSS file, and three files—HTML, JavaScript, and CSS—work together as a basic template.

Sep 25, 2022