Scatter Plot

D3 Scatter Plot

This example visualizes the classic Iris dataset as a scatter plot, mapping petal width to the x-axis and sepal length to the y-axis. Circles represent individual flowers, with axes labeled via D3’s `scaleLinear`, `axisLeft`, and `axisBottom` APIs. The code loads CSV data using `d3.csv`, parses numerical fields, and renders the plot as SVG circles sized with a fixed radius. The visualization fills the browser window, using viewport dimensions for the chart’s width and height, and demonstrates a straightforward data-joining workflow with `selectAll` and `join`.

Lliu yang

93% match

Basic Scatter Plot

This example visualizes the classic Iris dataset with a basic scatter plot, using D3 v4 to render circles in SVG that map sepal length and width. Each circle’s fill encodes the flower species via a color legend, generated with the d3-legend plugin. Axis ticks and labels are customized with scales, and the plot is fully responsive to the viewport.

Basic Scatter Plot

This example visualizes the classic Iris dataset, plotting sepal length against petal length for 150 flower specimens. Built with D3 v4, it loads data from a CSV file and uses linear scales with the margin convention to position circles in an SVG. The axis constraints are omitted, but the scatter plot effectively reveals the clustering of the three iris species based on their measured botanical dimensions.

Scatterplot 101

This example displays the classic Iris dataset as a scatterplot, mapping petal length on the x-axis against sepal width on the y-axis to reveal species clustering. The visualization is rendered as an SVG using D3 v7, with data loaded asynchronously from a CSV file via the `csv` function. The code employs `scaleLinear`, `extent`, `axisBottom`, and `axisLeft` to construct linear scales and axes, then draws circles with fixed radius for each data point.

AAlex

Iris Scatter Plot

This scatter plot displays the classic Iris dataset, with each point representing a flower and colored by its species (setosa, versicolor, or virginica). The visualization uses D3 v5 to render an SVG, allowing users to dynamically select which measurements (sepal or petal length/width) appear on the x- and y-axes via dropdown menus. The code builds linear scales with `d3.scaleLinear`, generates axes with `d3.axisBottom` and `d3.axisLeft`, and adds a color legend using `d3.legendColor`. Circles are styled with an ordinal color scale, and grid lines are rendered through tick sizes.

Wwinniepooh520

D3 Scatter Plot

This D3 scatter plot visualizes the classic Iris dataset, plotting sepal length against petal length for 150 flower samples. Each circle represents an individual flower, with semi-transparent fill opacity to reveal overlapping points. The visualization is rendered as SVG, using d3.scaleLinear and d3.extent to map data values to screen coordinates, with axes generated via d3.axisLeft and d3.axisBottom. Data is loaded from a local CSV file using d3.csv, and the species of each sample is visible in the data but not encoded visually in this example.

91% match

Basic Scatter Plot

This example visualizes the classic Iris dataset, plotting sepal length on the x-axis against petal length on the y-axis for 150 flowers. The scatter plot uses semi-transparent circular marks colored by species, with a categorical color legend generated via the d3-legend plugin. Built with D3 v4, the visualization employs d3.scaleLinear for axes, d3.axisBottom and d3.axisLeft for ticks, and d3.scaleOrdinal with schemeCategory10 for color mapping. The SVG render includes labeled axes and a legend, with data loaded from a CSV file.

91% match

Basic Scatter Plot

This example visualizes the classic Iris dataset, plotting sepal length against petal length for 150 flowers of three species. Using D3.v4, it constructs an SVG scatter plot with labeled, ticked axes, employing `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft` for coordinate mapping and axis generation. The visualization also demonstrates custom axis label styling and margin-based layout, with data loaded from a CSV file.