Fork of D3 Scatter Plot

100%

Fork of D3 Scatter Plot

✓ Published1🌍 Public

Last edited Jan 10, 2026

Created on Jan 10, 2026

This example visualizes the classic Iris dataset as a scatter plot, mapping petal length to the x-axis and sepal length to the y-axis using a linear scale. It loads the CSV data via `d3.csv`, parses numeric fields, and renders circles as SVG marks with a fixed radius. The chart uses `d3.scaleLinear` for both axes, `d3.extent` to set domains, and `d3.axisLeft` and `d3.axisBottom` for tick marks, all within a full-window SVG canvas.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of D3 Scatter Plot

A fork of the classic D3 scatter plot, this example visualizes the Iris dataset by mapping petal length to the x-axis and sepal length to the y-axis. It uses d3.csv to load and parse the data, with d3.scaleLinear and d3.extent for scaling, and d3.axisLeft and d3.axisBottom for the axes. Circles are appended to an SVG via d3.selectAll and data joins. The chart fills the entire browser window, with a fixed radius of 5 pixels for each point. The code relies on d3 v6.

AAaron

97% match

Loading thumbnail…

Fork of D3 Scatter Plot

This example renders the classic Iris dataset as a scatter plot, mapping petal length to the x-axis and sepal length to the y-axis. The visualization uses d3.scaleLinear to compute scales from the data extents, then draws the points as SVG circles with d3.select and a join operation. Axes are added using d3.axisLeft and d3.axisBottom, with a large font size applied to tick labels. The plot fills the entire browser window, sized to the inner dimensions of the viewport. CSV data is loaded asynchronously via d3.csv from a remote Gist URL.

PPierre COURANT

97% match

Loading thumbnail…

Fork of D3 Scatter Plot

This example visualizes the Iris Dataset as a scatter plot, mapping petal length on the x-axis and sepal length on the y-axis. It uses D3 v6 to load CSV data, apply linear scales via `d3.scaleLinear`, and render circles with SVG. The axes are generated using `d3.axisLeft` and `d3.axisBottom`, with margins adjusting the plot area to fill the viewport.

Wwilliam3333

97% match

Loading thumbnail…

Fork of D3 Scatter Plot

This example visualizes the Iris dataset with a D3 scatter plot using SVG circles, mapping petal length on the x-axis and sepal length on the y-axis. It loads the CSV data via `d3.csv`, parses numeric fields, and derives scales with `scaleLinear` from the data extent, positioning each point based on those scales. Axes are rendered using `axisBottom` and `axisLeft`, while the plot fills the browser window. The code leverages d3.v6 destructured functions like `select` and `csv` to fetch and draw the points.

SShan Gao

96% match

Loading thumbnail…

Fork of D3 Scatter Plot

This example visualizes the Iris Dataset as a scatter plot, mapping petal length to the x-axis and sepal length to the y-axis. Each flower is rendered as a fixed-radius circle, with axes labeled via `d3.axisLeft` and `d3.axisBottom`. The code loads CSV data using `d3.csv`, parses numeric values, and applies `d3.scaleLinear` with `d3.extent` to set domains. SVG circles are appended using `selectAll().data().join()`, while margins and window dimensions position the plot.

RRichard

96% match

Loading thumbnail…

Fork of D3 Scatter Plot

This example visualizes the Iris Dataset as a scatter plot, mapping petal length to the x-axis and sepal length to the y-axis. It uses D3 v6 to load CSV data via `d3.csv`, scales the data with `scaleLinear` and `extent`, and renders SVG circles for each observation. Axes are generated with `axisLeft` and `axisBottom`, while the chart fills the browser window using `window.innerWidth` and `window.innerHeight`. The plot clearly shows clusters of iris species based on their measurements.

Ddaria.daria

96% match

Loading thumbnail…

Fork of D3 Scatter Plot

This example renders the Iris Dataset as a scatter plot, mapping petal length to the x-axis and sepal length to the y-axis. It uses D3 v6’s `csv` loader to fetch the data, `scaleLinear` with `extent` to compute scales, and `axisLeft`/`axisBottom` to draw the axes. The plot is drawn as SVG circles using `select` to append elements and a `join` operation for efficient circle creation. The visualization adapts to the full browser window, with tick labels styled at 24 pixels.

BBakunya | Kirisaki Rem

96% match

Loading thumbnail…

Fork of D3 Scatter Plot

This example visualizes the Iris Dataset as a scatter plot, mapping petal length on the x-axis and sepal length on the y-axis. It uses D3 v6 APIs including `csv` for data loading, `scaleLinear` for scaling, and `axisLeft` and `axisBottom` for axes. The SVG circles are rendered via `selectAll` and `join`, with a fixed radius. The plot fills the browser window, using `window.innerWidth` and `window.innerHeight` to size the chart, and includes tick labels with 24px font styling.

JJordi

96% match