[introd3] scatterplot using iris dataset (template)

scatterplot_iris

This scatterplot visualizes the classic Iris dataset, mapping sepal length on the x-axis, sepal width on the y-axis, and encoding petal length via the radius of each circle. The chart is rendered as SVG circles using D3 v4, with the x and y axes scaled linearly and the color scale using d3.schemeCategory20 to distinguish the three iris species. Hovering over a point triggers a tooltip that displays the species name. A legend identifies the species by color, and axis labels indicate the measurements plotted.

92% match

scatterplot in progress

This example visualizes the classic Iris dataset as a scatterplot, mapping sepal length and sepal width to the x- and y-axes while encoding petal length in the radius of each circle and species in color. Built with D3 v4 and rendered as SVG, the chart loads iris.csv and applies linear scales for all three variables, with the radius scale bounded between 2 and 15 pixels. The visualization uses a categorical color scheme (d3.schemeCategory20) to distinguish the three iris species, and axes are drawn on the bottom and left edges of the plotting area.

BBerengerCunillera

scatterplot_iris

This scatterplot, built with D3 v4, visualizes the classic Iris dataset, plotting sepal length on the x-axis and sepal width on the y-axis. Each circle represents an iris flower, with its radius proportional to petal length. The visualization uses color to distinguish the three iris species, and it includes a legend for identification. Interactive tooltips appear on mouseover, showing the species of each point. Axes are labeled for sepal length and width, and the plot is rendered as an SVG with smooth transitions on hover.

Scatterplot Iris (d3.v4)

This scatterplot visualizes the classic Iris dataset using D3.js v4, mapping sepal length and width to the x- and y-axes. Each flower is represented by a circle whose radius encodes petal length, while color distinguishes species (setosa, versicolor, virginica) via a categorical scale. The chart includes labeled axes, a legend, and hover tooltips that display the species of each point. Built with SVG and animation, the visualization offers an interactive overview of the dataset’s structure and species groupings.

BBerengerCunillera

Scatterplot d3v4

This scatterplot displays the classic Iris dataset, mapping sepal length and width along the axes with petal length controlling the circle radius and species determining color. Built with D3 v4 and rendered as SVG, it uses `d3.scaleLinear`, `d3.scaleSqrt`, `d3.scaleOrdinal` with `d3.schemeCategory20`, and `d3.axisBottom`/`d3.axisLeft`. A clickable legend filters the bubbles by species, dimming all others.

JJverma

Iris_scatterplot_sepal

This example visualizes the classic Iris dataset using a scatterplot of sepal length versus sepal width, with points colored and shaped by species. Built with D3 v4, it renders as an SVG with a tooltip that appears on hover, and includes a categorical legend and axis labels.

90% match

Scatter plot testing

This scatter plot visualizes the classic Iris dataset, mapping sepal length and width to the x- and y-axes while encoding petal length through circle radius and species via color. The D3 v4 code loads the CSV, uses linear and sqrt scales for positioning and sizing, and renders SVG circles with ordinal color mapping. Axes are drawn using d3.axisBottom and d3.axisLeft.

AAtomy9

90% match

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.