D3 Example

D3 Example

This example visualizes the classic Iris dataset as a scatter plot, mapping sepal length, petal length, and sepal width to the x-axis, y-axis, and circle radius, respectively, with species encoded by color. It demonstrates how to dynamically style D3.js axes via JavaScript by selecting SVG elements and applying font, size, and stroke properties. The approach enables axis styling without requiring external CSS, and is built on an earlier D3 tutorial example. The visualization uses D3’s linear scales and SVG rendering to draw the plot, with axes configured to use compact notation and custom tick counts.

92% match

D3 Example

This scatter plot visualizes the classic Iris dataset, mapping sepal length to the x-axis, petal length to the y-axis, sepal width to the circle radius, and species to color. Rendered as an SVG using D3.js, the chart features axis labels, tick formatting, and a color scale with three categories. The visualization demonstrates a clean, readable design with Poiret One font styling, and the axes include labels for "Sepal Length (cm)" and "Petal Length (cm)".

91% match

D3 Example

This scatter plot of the Iris dataset maps sepal and petal measurements, encoding species with color and sepal width with point radius. It demonstrates a reactive data-joining architecture where scales and axes update automatically via D3’s data binding, with the SVG visualization responding to browser resizing through CSS-controlled dimensions.

D3 Example

This interactive scatter plot visualizes the classic Iris dataset, mapping sepal and petal measurements to positions and size. The visualization is built using D3.js and Model.js to create a reusable, reactive module, with SVG rendering. It responds to window resizing, adjusting its dimensions via CSS while maintaining a dotted border and hover effects on data points. Axis labels and tick formatting are configurable, and the chart is derived from example 106 of the "Introduction to D3.js" screencast series.

D3 Example

A scatter plot of the Iris dataset displays sepal length against petal length, with point size mapped to sepal width and color mapped to species. The visualization shows how D3.js (version 3.5.5) dynamically styles axes through JavaScript, applying custom font, size, and stroke properties to tick labels, axis labels, and axis lines using `d3.selectAll` and `.style()`. Data is loaded from a CSV file via `d3.csv`, and the SVG rendering uses `d3.scale.linear` and `d3.svg.axis` for scaling and axis generation.

AAndresAnayaIsaza

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

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. Using D3 v6, it loads data via `d3.csv`, applies linear scales with `scaleLinear` and `extent`, and renders circles as marks. Axes are drawn with `axisBottom` and `axisLeft` in an SVG container. The plot fills the entire window and displays all 150 samples without color or categorical encoding.

89% match

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.