Skip to main content
SimilarExport ZIP
100%

D3 Scatterplot

✓ Published2🌍 Public
MMatthew Bruffey
Last edited Jul 8, 2023
Created on Jul 8, 2023
Forked from HTML Starter

This example displays the classic Iris dataset as an SVG scatterplot, plotting petal width against sepal length. The visualization uses D3’s `scaleLinear`, `axisLeft`, and `axisBottom` to map data values to pixel coordinates and render labeled axes. Data is loaded asynchronously with `csv()` and parsed to numeric fields. Circles are drawn using D3’s `selectAll().data().join()` pattern, with the plot sized to fill the browser window.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

D3 Scatter Plot

This example displays the classic Iris dataset as a scatter plot, mapping petal length on the x-axis and sepal length on the y-axis. The visualization uses D3 v7’s `select`, `csv`, `scaleLinear`, `extent`, `axisBottom`, and `axisLeft` APIs to load the data, compute scales, and render SVG circles and axes. The plot fills the browser window, with bold tick labels, and the code demonstrates a straightforward data-ink pipeline from CSV parsing to interactive-free SVG rendering.

WWaseem Medhat
96% match
Loading thumbnail…

D3 Scatter Plot

This example renders the classic Iris dataset as a scatter plot, mapping petal length on the x-axis and sepal length on the y-axis. It uses D3 v7 to load the CSV data via `d3.csv`, and then builds scales with `d3.scaleLinear` and `extent` to compute domains. Circles are drawn as SVG elements, with axes generated through `d3.axisLeft` and `d3.axisBottom`. The visualization adapts to the full browser window and includes a large font size for tick labels via CSS.

SSubhendu Karmakar
95% match
Loading thumbnail…

D3 Scatter Plot Annotated

This example renders the classic Iris flower dataset as a scatter plot, mapping petal length on the x-axis and sepal length on the y-axis using D3 scales and SVG circles. It loads the CSV with `d3.csv`, parses numeric fields, and draws axes with `d3.axisLeft` and `d3.axisBottom`. The visualization fills the browser window, with tick labels styled to a larger font size for readability.

CCurran Kelleher
95% match
Loading thumbnail…

D3 Scatter Plot

This example presents the classic Iris dataset as a red circular scatter plot with axes, mapping petal length to the x-axis and sepal length to the y-axis. It uses D3 v7 to load the CSV data, apply `scaleLinear` scales derived from `extent`, and render SVG circles via a data join. Axes are generated with `axisLeft` and `axisBottom`. The visualization runs in a React framework context, though the visible code is vanilla JavaScript.

MMatovu Ronald
95% match
Loading thumbnail…

D3 Scatterplot

This example visualizes the Iris dataset as an interactive scatterplot, mapping petal length to the x-axis, sepal length to the y-axis, and petal width to circle radius, with species indicated by color (blue, red, or black). It uses D3 v7’s `csv`, `scaleLinear`, `scaleSqrt`, `extent`, and `max` to load and scale the data, then renders SVG circles via a data join. Axis are drawn with `axisLeft` and `axisBottom`. The plot fills the browser window, and hovering reveals species and measurement details via tooltips.

Vvschan2
94% match
Loading thumbnail…

d3 scatterplot

This example visualizes the classic Iris dataset as a scatterplot, mapping petal length to the x-axis and sepal length to the y-axis. It renders individual data points as SVG circles, with axes positioned along the left and bottom edges. The code uses d3.csv to load and parse the data, d3.scaleLinear for both scales, and d3.extent to compute the domains from the raw values. Axes are generated with d3.axisLeft and d3.axisBottom, while the chart fills the entire browser window by setting the SVG dimensions to the inner width and height.

Kktshim@snu.ac.kr
94% match
Loading thumbnail…

D3 Scatter Plot

This example visualizes the classic Iris dataset as a D3.js scatter plot, mapping sepal length on the y-axis and petal length on the x-axis. The chart renders as an SVG with circles positioned via linear scales, while axes are drawn using `d3.axisLeft` and `d3.axisBottom`. The code fetches CSV data asynchronously, parses numeric columns, and dynamically resizes the plot to the full window. It customizes tick label styling through CSS and uses a React starter environment.

TTheo-0201
94% match
Loading thumbnail…

D3 Scatter Plot

This example shows a scatter plot of the Iris dataset, mapping petal length to the x-axis and sepal length to the y-axis. The visualization renders circles as marks in an SVG, with scales defined using `scaleLinear` and axes created via `axisLeft` and `axisBottom`. Data is loaded asynchronously from a CSV URL using `d3.csv`, with numeric fields parsed through a custom row function. The chart fills the browser window, with margins applied to position the axes and plot area.

SSubhamChhetri
94% match