D3 rugby plyer stats

circles in D3

This example displays a static collection of thirteen colored circles scattered across a 600-by-400 SVG canvas, with varying radii, positions, and fills in blue, orange, and purple. The visualization uses no D3 or JavaScript logic, relying solely on hand-coded SVG elements inside an HTML document, with each circle defined by explicit `cx`, `cy`, `r`, and `fill` attributes. The rendering approach is direct SVG markup, and the code includes no data binding, interaction, or transitions.

Ee.rossi100@campus.unimib.it

73% match

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circles in D3

This example displays a static collection of thirteen colored circles scattered across a 600-by-400 SVG canvas, with varying radii, positions, and fills in blue, orange, and purple. The visualization uses no D3 or JavaScript logic, relying solely on hand-coded SVG elements inside an HTML document, with each circle defined by explicit `cx`, `cy`, `r`, and `fill` attributes. The rendering approach is direct SVG markup, and the code includes no data binding, interaction, or transitions.

Ee.rossi100@campus.unimib.it

73% match

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circles in D3

This example displays a static collection of thirteen colored circles scattered across a 600-by-400 SVG canvas, with varying radii, positions, and fills in blue, orange, and purple. The visualization uses no D3 or JavaScript logic, relying solely on hand-coded SVG elements inside an HTML document, with each circle defined by explicit `cx`, `cy`, `r`, and `fill` attributes. The rendering approach is direct SVG markup, and the code includes no data binding, interaction, or transitions.

Ee.rossi100@campus.unimib.it

73% match

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D3 SVG

This example demonstrates basic SVG shapes rendered with D3.js, showing how static geometric elements can be drawn directly in a web page. It displays a blue circle and a rectangular outline with a stroke, positioned at fixed coordinates within an SVG canvas of 500 by 960 pixels. The code uses the D3.js library to construct the SVG container and its child elements, with circle and rect tags defining the visual properties. The rendering approach relies on D3’s SVG manipulation capabilities, though no data binding or dynamic updates occur, as the shapes are hardcoded in the HTML structure.

MMohd Sameer

72% match

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D3 Matrix Example

This visualization uses D3.js v3 and a force-directed layout to display the relationships between rugby teams, with nodes representing teams and curved, arrowed paths representing match scores between them. Link opacity and stroke width encode the value of each connection, scaled linearly from 0 to 100 percent. The code uses `d3.layout.force`, `d3.scale.linear`, and SVG markers for arrowheads, loading data from a JSON file, and renders the network on an SVG canvas.

CConorAspell

72% match

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d3 yoga

The visualization displays a small dataset of six numeric values using three overlaid chart types: circles sized by radius, vertical bars, and a line path. It shows how the same values can be represented through different encodings. The code uses d3.v4 with SVG for the circles and line, and HTML div elements positioned absolutely for the bars. Linear scales map the data domain to pixel ranges for radius, bar height, and line y-coordinates. The data is hardcoded as an array in the script, with no external source. The SVG and divs are both rendered on the same page, creating a combined view.

FFlameFuel

71% match

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D3 Example

This scatterplot shows a small set of pink circles positioned within a 250×250 SVG canvas, with a large yellow title in the Jua font above it. The visualization reads data from a remote CSV file hosted on GitHub, parsing each row with `d3.csv` and passing the parsed objects to a custom function named `a_name`. That function uses the D3.js library (version 3.5.5) to bind data to circles, appending new circles, updating their `cx` and `cy` attributes based on the `x` and `y` values from the data, and removing any circles for removed records. The rendering is done via SVG, and the circle fill color and text styling are defined in the page’s CSS.

PPabloDA

71% match

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D3 Example

This scatterplot shows a small set of pink circles positioned within a 250×250 SVG canvas, with a large yellow title in the Jua font above it. The visualization reads data from a remote CSV file hosted on GitHub, parsing each row with `d3.csv` and passing the parsed objects to a custom function named `a_name`. That function uses the D3.js library (version 3.5.5) to bind data to circles, appending new circles, updating their `cx` and `cy` attributes based on the `x` and `y` values from the data, and removing any circles for removed records. The rendering is done via SVG, and the circle fill color and text styling are defined in the page’s CSS.

PPabloDA

71% match