Scatter plot iris

Iris scatterPlot

This example visualizes the classic Iris flower dataset, plotting sepal width against sepal length to reveal clusters by species. Each flower is a small circle, colored by species using `d3.scale.category10()`, with axis labels for the measurement units. The visualization loads tab-separated data from `iris.tsv`, uses `d3.scale.linear()` for x and y scales, and renders axes via `d3.svg.axis()`. A legend identifies the three species, while the SVG circles are positioned with `x()` and `y()` scales and filled based on the species value.

93% match

LLikhitaMudagereShivaraj@my.unt.edu

Scatter Plot

This scatter plot visualizes the classic Iris dataset, displaying sepal length against sepal width for three species of iris flowers. Each point represents a sample, color-coded by species (setosa, versicolor, virginica) using blue, green, and orange, and includes interactive tooltips that reveal exact measurements on hover. The visualization is built with D3.js v7, using `d3.csv` to load the local CSV data, `d3.scaleOrdinal` for color mapping, and `d3.scaleLinear` to map data to pixel coordinates. The SVG rendering includes labeled axes, a legend, and smooth tooltip transitions for enhanced readability.

Scatterplot Iris using different marks

This D3.js v4 visualization displays the classic Iris dataset as a scatterplot, mapping sepal length and width to the x- and y-axes while using different symbol shapes from `d3.symbols()` to distinguish the three iris species. A legend allows interactive filtering by clicking a species, which dims all other points to 0.1 opacity. The SVG rendering uses `d3.scaleOrdinal` for colors and `d3.scaleSqrt` for point sizing based on petal length.

RRemiFaure

Iris scatterPlot

This scatter plot visualizes the classic Iris dataset, plotting sepal width against sepal length for three species of iris flowers. Each flower is represented as a small circle, color-coded by species (setosa, versicolor, virginica) using a categorical color scale, with a legend in the upper right. The visualization uses D3 v3 to render an SVG graphic, employing `d3.scale.linear()` for the x and y axes, `d3.svg.axis()` for the axes, and `d3.scale.category10()` for coloring the dots. The data is loaded asynchronously from a tab-separated values file via `d3.tsv()`.

Iris_scatterplot_sepal

This example visualizes the classic Iris dataset, plotting sepal length against sepal width for three iris species. Built with D3 v4, the scatterplot uses SVG shapes to encode species: circles for setosa, red squares for versicolor, and black squares for virginica. A square-root scale controls point size, and hover tooltips display species names. Animated transitions and a categorical color legend complete the chart, which reads directly from iris.csv.

DDjokovalle

Iris Scatter Plot

This scatter plot visualizes the iris dataset, showing sepal length against sepal width for three flower species, with each species colored distinctly via a custom color legend. The visualization uses D3 v5 to load CSV data and build an SVG scene, employing `scaleLinear` for the axes, `scaleOrdinal` for color encoding, and `axisBottom`/`axisLeft` to render gridlines. Semi-transparent circles reveal overlapping points, while a reusable `colorLegend` module generates a categorical legend with labeled circles and a background rectangle.

YYunLing

Iris_Scatter_Plot

This scatter plot visualizes the classic Iris dataset, showing the relationship between sepal length and sepal width for three iris species, with each species represented by a distinct color. Data is loaded from a tab-separated values file using `d3.tsv`, and the visualization is rendered as SVG circles using D3 v3. Linear scales (`d3.scale.linear`) map the quantitative axes, while `d3.svg.axis` generates the bottom and left axes with labels. A color legend identifies the species categories, and all points are drawn with a fixed radius of 3.5 pixels.

Iris_Scatter_Plot