Skip to main content
SimilarExport ZIP
100%

D3 Scatter plot

✓ Published1🌍 Public
JJuan Corrales Correyero
Last edited Sep 14, 2023
Created on Sep 14, 2023
Forked from Hello VizHub

This scatter plot visualizes the Iris flower dataset by plotting petal length against sepal length. The visualization uses D3.js v7 with linear scales to map data values to screen coordinates, and SVG circles represent individual data points. The code demonstrates data loading and parsing via d3.csv with type coercion for numeric fields. Axes are generated using d3.axisLeft and d3.axisBottom, positioned according to defined margins, while the plot dynamically fills the browser window using window.innerWidth and innerHeight.

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 scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and sepal length on the y-axis. It displays each data point as a circle in an SVG rendered at full window size. The code uses d3.csv to load the data, d3.scaleLinear with d3.extent for axes, and d3.axisLeft and d3.axisBottom to draw the scales.

Sshmouelsamares
96% match
Loading thumbnail…

D3 Scatter Plot

This D3 scatter plot visualizes the Iris flower dataset, plotting petal length against sepal length for each sample as circles in an SVG rendered with React. The code uses d3.csv to load and parse the data, d3.scaleLinear to map values to screen coordinates, and d3.axisLeft and d3.axisBottom to display the y- and x-axes. The visualization updates the browser window dimensions dynamically and demonstrates a straightforward data-to-mark binding pattern with d3.selectAll and .join.

Ccardoza-IPH
96% match
Loading thumbnail…

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. Each flower is represented by a circle, with positions scaled linearly using d3.scaleLinear and extents from the data. The visualization renders in SVG, drawing circles directly onto an appended svg element. Axes are generated with d3.axisLeft and d3.axisBottom, styled with a 20px font size for tick labels. Data is loaded asynchronously using d3.csv from a remote Gist URL, with numeric parsing applied to all four measurement columns.

Ttverdone
95% match
Loading thumbnail…

D3 Scatter Plot

This D3 scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and sepal length on the y-axis. Each flower is rendered as a circle using SVG within a React framework. The code utilizes `d3.csv` to load and parse the data, `d3.scaleLinear` for axis scaling, and `d3.extent` to determine data domains. Axes are drawn with `d3.axisLeft` and `d3.axisBottom`, while the chart dynamically fills the browser window's dimensions.

EEzhil-Kalai
95% match
Loading thumbnail…

D3 scatter plot

This scatter plot visualizes the Iris flower dataset, mapping petal length on the x-axis and sepal length on the y-axis. Each of the 150 data points appears as a circle, positioned using linear scales and the extent of the data. The SVG renderer uses D3 v7 methods like `csv`, `scaleLinear`, `axisLeft`, and `axisBottom` to load data, compute scales, draw marks, and add axes. The plot fills the browser window.

MMichael Bergerson
95% match
Loading thumbnail…

D3 Scatter Plot

This example visualizes the Iris flower dataset as a scatter plot, mapping petal length to the horizontal axis and sepal length to the vertical axis. Each flower is rendered as a circle in an SVG canvas. The code loads CSV data using `d3.csv`, parses numeric fields, and applies linear scales via `d3.scaleLinear` with domains derived from `d3.extent`. Circles are joined to the data with `selectAll().data().join()`, sized with a fixed radius of 5 pixels, and positioned using the scaled coordinates.

Ttrongan765@gmail.com
95% match
Loading thumbnail…

Scatter Plot with D3

This scatter plot visualizes the Iris dataset, plotting petal length on the x-axis against sepal length on the y-axis for individual flowers. The visualization uses D3.js to load CSV data via `d3.csv`, create linear scales with `scaleLinear`, and render SVG circles as data points. Axes are generated using `axisBottom` and `axisLeft` and positioned within a margin-based layout. The chart fills the browser window through dynamically computed width and height, with the rendered SVG scaling to the viewport.

Aadventuresenglish.info@gmail.com
95% match
Loading thumbnail…

D3 Scatterplot

This scatterplot visualizes the Iris dataset, plotting petal length against sepal length for individual flowers. Built with D3 v7 and React, the visualization uses SVG circles and linear scales to map data values to screen coordinates, with axes generated by d3.axisLeft and d3.axisBottom. The code loads CSV data asynchronously via d3.csv, parses numeric fields, and renders points with a steelblue fill. Axis tick labels are styled with a large Courier New font, and the chart fills the browser window dynamically.

Nnicolekevans
95% match